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Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
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1

Improving Area Control Error Diversity Interchange (ADI) Program by Incorporating Congestion Constraints  

SciTech Connect

The area control error (ACE) determines how much a balancing authority (BA) needs to move its regulating units to meet mandatory control performance standard requirements. Regulation is an expensive resource that could cost several hundred million dollars a year for a BA. The amount of regulation needed in a system is increasing with more intermittent generation resources added to the system. The ACE diversity interchange (ADI) program provides a tool for reducing the regulation requirement by combining ACEs from several participating BAs followed by sharing the total ACE among all participating balancing areas. The effect is achieved as a result of the low statistical correlation between the original ACEs of participating BAs. A rule-based ADI approach has already been put into practice in the US Western Interconnection. The degree of actual ACE sharing is artificially limited because of the unknown redistribution of power flows and possible system congestion (these factors are not monitored in the existing ADI). This paper proposes a two-step linear programming (LP) ADI approach that incorporates congestion constraints. In the first step of the proposed LP ADI, the line transmission limits are enforced by setting up corresponding constraints. In the second step, the business fairness is pursued. Simulation is performed to compare the properties of the proposed LP ADI and the existing rule-based ADI. Favorable features, such as avoiding line limit violations and increasing the degree of possible ACE sharing, are observed for the proposed LP ADI.

Zhou, Ning; Etingov, Pavel V.; Makarov, Yuri V.; Guttromson, Ross T.; McManus, Bart

2010-04-30T23:59:59.000Z

2

Quantum error control codes  

E-Print Network (OSTI)

It is conjectured that quantum computers are able to solve certain problems more quickly than any deterministic or probabilistic computer. For instance, Shor's algorithm is able to factor large integers in polynomial time on a quantum computer. A quantum computer exploits the rules of quantum mechanics to speed up computations. However, it is a formidable task to build a quantum computer, since the quantum mechanical systems storing the information unavoidably interact with their environment. Therefore, one has to mitigate the resulting noise and decoherence effects to avoid computational errors. In this dissertation, I study various aspects of quantum error control codes - the key component of fault-tolerant quantum information processing. I present the fundamental theory and necessary background of quantum codes and construct many families of quantum block and convolutional codes over finite fields, in addition to families of subsystem codes. This dissertation is organized into three parts: Quantum Block Codes. After introducing the theory of quantum block codes, I establish conditions when BCH codes are self-orthogonal (or dual-containing) with respect to Euclidean and Hermitian inner products. In particular, I derive two families of nonbinary quantum BCH codes using the stabilizer formalism. I study duadic codes and establish the existence of families of degenerate quantum codes, as well as families of quantum codes derived from projective geometries. Subsystem Codes. Subsystem codes form a new class of quantum codes in which the underlying classical codes do not need to be self-orthogonal. I give an introduction to subsystem codes and present several methods for subsystem code constructions. I derive families of subsystem codes from classical BCH and RS codes and establish a family of optimal MDS subsystem codes. I establish propagation rules of subsystem codes and construct tables of upper and lower bounds on subsystem code parameters. Quantum Convolutional Codes. Quantum convolutional codes are particularly well-suited for communication applications. I develop the theory of quantum convolutional codes and give families of quantum convolutional codes based on RS codes. Furthermore, I establish a bound on the code parameters of quantum convolutional codes - the generalized Singleton bound. I develop a general framework for deriving convolutional codes from block codes and use it to derive families of non-catastrophic quantum convolutional codes from BCH codes. The dissertation concludes with a discussion of some open problems.

Abdelhamid Awad Aly Ahmed, Sala

2008-05-01T23:59:59.000Z

3

Effects of uncertainties and errors on Lyapunov control  

E-Print Network (OSTI)

Lyapunov control (open-loop) is often confronted with uncertainties and errors in practical applications. In this paper, we analyze the robustness of Lyapunov control against the uncertainties and errors in quantum control systems. The analysis is carried out through examinations of uncertainties and errors, calculations of the control fidelity under influences of the certainties and errors, as well as discussions on the caused effects. Two examples, a closed control system and an open control system, are presented to illustrate the general formulism.

Yi, X X; Wu, Chunfeng; Oh, C H

2010-01-01T23:59:59.000Z

4

Definition: Area Control Error | Open Energy Information  

Open Energy Info (EERE)

Terms frequency bias, smart grid References Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline...

5

Error estimates for the numerical approximation of Neumann control problems  

Science Conference Proceedings (OSTI)

We continue the discussion of error estimates for the numerical analysis of Neumann boundary control problems we started in Casas et al. (Comput. Optim. Appl. 31:193-219, 2005). In that paper piecewise constant functions were used to approximate the ... Keywords: boundary control, error estimates, numerical approximation, semilinear elliptic equation

Eduardo Casas; Mariano Mateos

2008-04-01T23:59:59.000Z

6

Servo control booster system for minimizing following error  

DOE Patents (OSTI)

A closed-loop feedback-controlled servo system is disclosed which reduces command-to-response error to the system's position feedback resolution least increment, .DELTA.S.sub.R, on a continuous real-time basis for all operating speeds. The servo system employs a second position feedback control loop on a by exception basis, when the command-to-response error .gtoreq..DELTA.S.sub.R, to produce precise position correction signals. When the command-to-response error is less than .DELTA.S.sub.R, control automatically reverts to conventional control means as the second position feedback control loop is disconnected, becoming transparent to conventional servo control means. By operating the second unique position feedback control loop used herein at the appropriate clocking rate, command-to-response error may be reduced to the position feedback resolution least increment. The present system may be utilized in combination with a tachometer loop for increased stability.

Wise, William L. (Mountain View, CA)

1985-01-01T23:59:59.000Z

7

Robustness and Errors in Quantum Optimal Control  

E-Print Network (OSTI)

We introduce a new approach to quantify the robustness of optimal control of closed quantum systems. Our theory allows to assess the degree of distortion that can be applied to a set of known optimal control parameters, which are solutions of an optimal control problem. The formalism is applied to an exactly solvable model and to the Landau-Zener model, whose optimal control problem is solvable only numerically. The presented method is of importance for any application where a high degree of controllability of the quantum system dynamics is required.

Calarco, Antonio Negretti; Rosario Fazio; Tommaso

2010-01-01T23:59:59.000Z

8

Human Operational Errors Involving Control, Relay, and Auxiliary Equipment  

Science Conference Proceedings (OSTI)

This report describes the objectives, information gathering and analysis, and findings of a research effort related to human operational errors involving control, relay, and auxiliary equipment. This research is conducted by the Switching Safety and Reliability Project of EPRI8217s Substations Program. The project consists of three separate studies: 8226 an analysis of relay-related incidents attributed to human errors, 8226 a compilation of work practices when planning and performing work on relays, an...

2006-12-08T23:59:59.000Z

9

Human Error Mitigation in Future Operations Control Centers  

E-Print Network (OSTI)

This report documents a human error mitigation study conducted at the William J. Hughes Technical Center Research Development & Human Factors Laboratory. The study examined potential causes of human errors in future Airway Facilities (AF) operations control centers (OCCs). The participants consisted of nine specialists having expertise in current AF operations and knowledge of human error tendencies. The participants explored four operational scenarios, identified potential sources of error, and recommended specific solutions. A research team extracted common themes from participant responses to each of the four scenarios and identified general sources of potential error. They made specific recommendations for mitigating error in future OCC facilities. 17. Key Words NIMS, operations control centers, fault management, errors, human factors, event ticketing 18. Distribution Statement This document is available to the public through the National Technical Information Service, Springfield, Virginia, 22161 19. Security Classif. (of this report) 20. Security Classif. (of this page) 21. No. of Pages 48 22. Price Form DOT F 1700.7 (8-72) Reproduction of completed page authorized iii Acknowledgments This research would not have been possible without the support and sponsorship of AAR-100, the Office of the Chief Scientific and Technical Advisor for Human Factors. The research team greatly appreciated the outstanding support provided by Jack Oxford, FDC, who headed the effort to develop futuristic scenarios and to recruit participants. Dan Wagner and Armida Rosiles, ACT-530, and Anton Koros, FDC, played important roles in the completion of this study. Subject matter experts who supported scenario development included Patrick Marable, Kermit Grayson, and William Bauerle...

Vicki Ahlstrom, Ph.D.; Yvette J Tenney; Richard W. Pew; Robert L. Cranston; Richard Mogford, Ph.D.; Author(s Vicki Ahlstrom (act; Jean MacMillen; Jean Macmillan; Yvette Tenney; Richard Pew

1999-01-01T23:59:59.000Z

10

A Wavelet Approach to Representing Background Error Covariances in a Limited-Area Model  

Science Conference Proceedings (OSTI)

The use of orthogonal wavelets for the representation of background error covariances over a limited area is studied. Each wavelet function contains both information on position and information on scale: using a diagonal correlation matrix in ...

Alex Deckmyn; Loïk Berre

2005-05-01T23:59:59.000Z

11

Coordinated joint motion control system with position error correction  

DOE Patents (OSTI)

Disclosed are an articulated hydraulic machine supporting, control system and control method for same. The articulated hydraulic machine has an end effector for performing useful work. The control system is capable of controlling the end effector for automated movement along a preselected trajectory. The control system has a position error correction system to correct discrepancies between an actual end effector trajectory and a desired end effector trajectory. The correction system can employ one or more absolute position signals provided by one or more acceleration sensors supported by one or more movable machine elements. Good trajectory positioning and repeatability can be obtained. A two-joystick controller system is enabled, which can in some cases facilitate the operator's task and enhance their work quality and productivity.

Danko, George (Reno, NV)

2011-11-22T23:59:59.000Z

12

Coordinated joint motion control system with position error correction  

SciTech Connect

Disclosed are an articulated hydraulic machine supporting, control system and control method for same. The articulated hydraulic machine has an end effector for performing useful work. The control system is capable of controlling the end effector for automated movement along a preselected trajectory. The control system has a position error correction system to correct discrepancies between an actual end effector trajectory and a desired end effector trajectory. The correction system can employ one or more absolute position signals provided by one or more acceleration sensors supported by one or more movable machine elements. Good trajectory positioning and repeatability can be obtained. A two-joystick controller system is enabled, which can in some cases facilitate the operator's task and enhance their work quality and productivity.

Danko, George (Reno, NV)

2011-11-22T23:59:59.000Z

13

Local control of area-preserving maps  

E-Print Network (OSTI)

We present a method of control of chaos in area-preserving maps. This method gives an explicit expression of a control term which is added to a given area-preserving map. The resulting controlled map which is a small and suitable modification of the original map, is again area-preserving and has an invariant curve whose equation is explicitly known.

Cristel Chandre; Michel Vittot; Guido Ciraolo

2008-09-01T23:59:59.000Z

14

Low delay and area efficient soft error correction in arbitration logic  

DOE Patents (OSTI)

There is provided an arbitration logic device for controlling an access to a shared resource. The arbitration logic device comprises at least one storage element, a winner selection logic device, and an error detection logic device. The storage element stores a plurality of requestors' information. The winner selection logic device selects a winner requestor among the requestors based on the requestors' information received from a plurality of requestors. The winner selection logic device selects the winner requestor without checking whether there is the soft error in the winner requestor's information.

Sugawara, Yutaka

2013-09-10T23:59:59.000Z

15

A Design of Reconfigurable Satellite Control System with Reaction Wheels Based on Error Quaternion Model  

Science Conference Proceedings (OSTI)

To meet the requirement of the satellite attitude and orbit control system (AOCS) could recover control in abnormal conditions, A reconfigurable control system using variable-structure control and improved pseudo-inverse is developed based on the error ... Keywords: pseudo-inverse, variable-structure, reconfigurable, reaction wheel, error quaternion

Peijun Yu; Keqiang Xia; Jiancheng Li

2011-09-01T23:59:59.000Z

16

Error Sensor Placement for Active Control of an Axial Cooling Fan.  

E-Print Network (OSTI)

??Recent experimental achievements in active noise control (ANC) for cooling fans have used near-field error sensors whose locations are determined according to a theoretical condition… (more)

Shafer, Benjamin M 1979-

2007-01-01T23:59:59.000Z

17

Poster: Passing the three trillion particle limit with an error-controlled fast multipole method  

Science Conference Proceedings (OSTI)

We present an error-controlled, highly scalable FMM implementation for long-range interactions of particle systems with open, 1D, 2D and 3D periodic boundary conditions. We highlight three aspects of fast summation codes not fully addressed in most articles; ... Keywords: FMM, error control, scalability

Ivo Kabadshow; Holger Dachsel; Jeff Hammond

2011-11-01T23:59:59.000Z

18

Instrumentation and Control Functional Area Qualification Standard  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

NOT MEASUREMENT NOT MEASUREMENT SENSITIVE DOE-STD-1162-2013 June 2013 DOE STANDARD INSTRUMENTATION AND CONTROL FUNCTIONAL AREA QUALIFICATION STANDARD DOE Defense Nuclear Facilities Technical Personnel U.S. Department of Energy AREA TRNG Washington, D.C. 20585 DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. DOE-STD-1162-2013 This document is available on the Department of Energy Technical Standards Program website at http://www.hss.energy.gov/nuclearsafety/ns/techstds/ ii DOE-STD-1162-2013 APPROVAL The Federal Technical Capability Panel consists of senior U.S. Department of Energy (DOE) managers responsible for overseeing the Federal Technical Capability Program. This Panel is responsible for reviewing and approving the qualification standard for Department-wide

19

Low Probability Tail Event Analysis and Mitigation in BPA Control Area: Task 2 Report  

SciTech Connect

Task report detailing low probability tail event analysis and mitigation in BPA control area. Tail event refers to the situation in a power system when unfavorable forecast errors of load and wind are superposed onto fast load and wind ramps, or non-wind generators falling short of scheduled output, causing the imbalance between generation and load to become very significant.

Lu, Shuai; Makarov, Yuri V.; McKinstry, Craig A.; Brothers, Alan J.; Jin, Shuangshuang

2009-09-18T23:59:59.000Z

20

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

72 72 2 Effective: Page 1 of 16 3/6/13 Subject: X26C Laser Safety Program Documentation The only official copy of this file is the one on-line in the Photon Sciences website. Before using a printed copy, verify that it is the most current version by checking the document issue date on the Photon Sciences website. 2.1/2g03e011.doc 1 (06/2009) BROOKHAVEN NATIONAL LABORATORY LASER CONTROLLED AREA STANDARD OPERATING PROCEDURE (SOP) This document defines the safety management program for the laser system(s) listed below. All American National Standard Institute (ANSI) Hazard Class 3B and 4 laser systems must be documented, reviewed, and approved through use of this form. Each system must be reviewed annually. Modify the template for this document to fit your particular circumstance.

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

6 4 6 4 Effective: Page 1 of 18 09/16/2011 Subject: Laser Safety Program Documentation: U2A The only official copy of this file is the one on-line in the PS ESH website. Before using a printed copy, verify that it is the most current version by checking the document issue date on the PS ESH website. BROOKHAVEN NATIONAL LABORATORY LASER CONTROLLED AREA STANDARD OPERATING PROCEDURE (SOP) U2A Laser Systems This document defines the safety management program for the laser system(s) listed below. All American National Standard Institute (ANSI) Hazard Class 3B and 4 laser systems must be documented, reviewed, and approved through use of this form. Each system must be reviewed annually. System description: There are 4 lasers installed at beamline U2A for diamond anvil cell experiments:

22

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

90 90 1 Effective: Page 1 of 11 06/20/12 Subject: Laser Safety Program Documentation - Raman X18/19 Frenkel Group 3.1/2g03e011.doc 1 (02/2010) BROOKHAVEN NATIONAL LABORATORY LASER CONTROLLED AREA STANDARD OPERATING PROCEDURE (SOP) This document defines the safety management program for the laser system(s) listed below. All American National Standard Institute (ANSI) Hazard Class 3B and 4 laser systems must be documented, reviewed, and approved through use of this form. Each system must be reviewed annually. Modify the template for this document to fit your particular circumstance. System description: Raman fiber optic system with class 3B laser source Location: Currently in NSLS room 1-127, but will be utilized with beamlines X18A, X18B, and X19A

23

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

PS-ESH-0025 PS-ESH-0025 01 Effective: Page 1 of 13 03/09/2012 Subject: Laser Safety Program Documentation X17C The only official copy of this file is the one on-line in the NSLS ESH website. Before using a printed copy, verify that it is the most current version by checking the document issue date on the NSLS ESH website. BROOKHAVEN NATIONAL LABORATORY LASER CONTROLLED AREA STANDARD OPERATING PROCEDURE (SOP) X17C Laser System System description: There is one laser at X17C: Diode-Pumped Solid State Laser (Class 3B) that has two uses: - Measurement of diamond anvil pressure from ruby fluorescence - Raman spectrum measurements Location: The DPSS laser system is located in NSLS room 1-134C LINE MANAGEMENT RESPONSIBILITIES The Owner/Operator for this laser is listed below. The Owner/Operator is the Line Manager of the system

24

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

3 3 001 Effective: Page 1 of 11/18/11 11 Subject: Laser Safety Program Documentation Bldg 703 E3/E4 3.1/2g03e011.doc 1 (02/2010) BROOKHAVEN NATIONAL LABORATORY LASER CONTROLLED AREA STANDARD OPERATING PROCEDURE (SOP) This document defines the safety management program for the laser system(s) listed below. All American National Standard Institute (ANSI) Hazard Class 3B and 4 laser systems must be documented, reviewed, and approved through use of this form. Each system must be reviewed annually. Modify the template for this document to fit your particular circumstance. System description: MOS laser curvature measurement system - Thin Film Deposition Lab Location: 703, E2/E4 LINE MANAGEMENT RESPONSIBILITIES The Owner/Operator(s) for this laser is/are listed below. The Owner/Operator is the Line Manager of the

25

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

79 79 01 Effective: Page 1 of 17 05/13/11 Subject: X17B3 Laser Safety Program Documentation 1 AUTHORIZATION | Princeton University BROOKHAVEN NATIONAL LABORATORY LASER CONTROLLED AREA STANDARD OPERATING PROCEDURE (SOP) This document defines the safety management program for the laser system listed below. All American National Standard Institute (ANSI) Hazard Class 3B and 4 laser systems must be documented, reviewed, and approved through use of this form. Each system must be reviewed annually. System description: A laser heating system for diamond anvil cell experiments has been installed at X17B3. A class 4 ytterbium fiber laser (IPG model YLR-100-SM-CS) is used to perform high-pressure laser heating of samples contained in diamond anvil cells. Included within this laser is a guide laser

26

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

32 32 004 Effective: Page 1 of 13 12/1/10 Subject: Laser Safety Program Documentation X20C 3.1/2g03e011.doc 1 (02/2010) BROOKHAVEN NATIONAL LABORATORY LASER CONTROLLED AREA STANDARD OPERATING PROCEDURE (SOP) This document defines the safety management program for the laser system(s) listed below. All American National Standard Institute (ANSI) Hazard Class 3B and 4 laser systems must be documented, reviewed, and approved through use of this form. Each system must be reviewed annually. Modify the template for this document to fit your particular circumstance. System description: Time-resolved light scattering Location: X20C Hutch LINE MANAGEMENT RESPONSIBILITIES The Owner/Operator(s) for this laser is/are listed below. The Owner/Operator is the Line Manager of the

27

Mitigation of Human Operational Errors Involving Control, Relay, and Auxiliary Equipment  

Science Conference Proceedings (OSTI)

This report describes the objectives and current status of a research effort related to human operational errors involving control, relay, and auxiliary equipment. This research is conducted by the Switching Safety and Reliability Project of EPRI's Substations Program. The report describes the data collection process for three ongoing studies on the above-named subject, and preliminary findings based on data collected from participating utilities by the end of November 2005. The project is expected to be...

2005-12-23T23:59:59.000Z

28

A Parallel Row-Based Algorithm For Standard Cell Placement With Integrated Error Control  

E-Print Network (OSTI)

A new row-based parallel algorithm for standard-cell placement targeted for execution on a hypercube multiprocessor is presented. Key features of this implementation include a dynamic simulated-annealing schedule, row-partitioning of the VLSI chip image, and two novel approaches to control error in parallel cellplacement algorithms: (1) Heuristic Cell-Coloring; (2) Adaptive Sequence Length Control. 1. INTRODUCTION Simulated annealing is a general-purpose optimization method that has been successfully applied to solve a large variety of combinatorial optimization problems including many in VLSI design. Annealing is computationally very expensive, hence efforts to improve execution time has proceeded along two fronts: (1) accelerating the annealing schedule, and (2) parallelizing the annealing algorithm for execution on multiprocessors. Parallel implementations of annealing as applied to the cell placement application either attempt multiple cell moves in parallel [1-7], or distribute ...

Jeff S. Sargent; Prith Banerjee

1989-01-01T23:59:59.000Z

29

Definition: Wide Area Monitoring, Visualization, & Control | Open Energy  

Open Energy Info (EERE)

Wide Area Monitoring, Visualization, & Control Wide Area Monitoring, Visualization, & Control Jump to: navigation, search Dictionary.png Wide Area Monitoring, Visualization, & Control Wide area monitoring and visualization requires time synchronized sensors, communications, and information processing that make it possible for the condition of the bulk power system to be observed and understood in real-time so that protective, preventative, or corrective action can be taken.[1] Related Terms Wide area, bes emergency, sustainability, smart grid References ↑ SmartGrid.gov 'Description of Functions' An inl LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ine Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Wide_Area_Monitoring,_Visualization,_%26_Control&oldid=502579

30

Controlled Source Frequency-Domain Magnetics At Salt Wells Area  

Open Energy Info (EERE)

Controlled Source Frequency-Domain Magnetics At Salt Wells Area Controlled Source Frequency-Domain Magnetics At Salt Wells Area (Montgomery, Et Al., 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Controlled Source Frequency-Domain Magnetics At Salt Wells Area (Montgomery, Et Al., 2005) Exploration Activity Details Location Salt Wells Area Exploration Technique Controlled Source Frequency-Domain Magnetics Activity Date 2004 - 2004 Usefulness useful DOE-funding Unknown Exploration Basis AMP Resource contracted Willowstick Technologies, LLC to conduct a Controlled Source-Frequency Domain Magnetics (CS-FDM) geophysical investigation at Salt Wells in order to characterize and delineate areas showing the greatest concentrations and highest temperatures of geothermal groundwater. The investigation also sought to map blind faults beneath the

31

Particle Swarm Optimization and Gradient Descent Methods for Optimization of PI Controller for AGC of Multi-area Thermal-Wind-Hydro Power Plants  

Science Conference Proceedings (OSTI)

The automatic generation control (AGC) of three unequal interconnected Thermal, Wind and Hydro power plant has been designed with PI controller. Further computational intelligent technique Particle Swarm Optimization and conventional Gradient Descent ... Keywords: Automatic generation control, Particle swarm optimization, Gradient Descent method, Generation rate constraint, Area control error, Wind energy conversion system

Naresh Kumari, A N. Jha

2013-04-01T23:59:59.000Z

32

Error Recovery for a Boiler System with OTS PID Controller Tom Anderson, Mei Feng, Steve Riddle, Alexander Romanovsky  

E-Print Network (OSTI)

Error Recovery for a Boiler System with OTS PID Controller Tom Anderson, Mei Feng, Steve Riddle-The-Shelf) item. The case study used a Simulink model of a steam boiler system together with an OTS PID in practice, employing software models of the PID controller and the steam boiler system rather than

Newcastle upon Tyne, University of

33

Error Recovery for a Boiler System with OTS PID Controller Tom Anderson, Mei Feng, Steve Riddle, Alexander Romanovsky  

E-Print Network (OSTI)

1 Error Recovery for a Boiler System with OTS PID Controller Tom Anderson, Mei Feng, Steve Riddle employing an OTS (Off-The-Shelf) item. The case study used a Simulink model of a steam boiler system, employing software models of the PID controller and the steam boiler system rather than conducting

Newcastle upon Tyne, University of

34

Surveillance Guide - OPS 9.3 Control Area Activities  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CONTROL AREA ACTIVITIES CONTROL AREA ACTIVITIES 1.0 Objective The objective of this surveillance is to verify that standards for the professional conduct of operations personnel are established and followed so that operator performance meets the expectations of DOE and facility management. This surveillance provides a basis for evaluating watchstanding practices of operations personnel in the control area. 2.0 References 2.1 DOE 5480.19, Conduct of Operations Requirements for DOE Facilities 2.2 DOE-STD-1042-93, Guide to Good Practices for Control Area Activities 3.0 Requirements Implemented This surveillance is conducted to implement requirements of the Functions, Responsibilities and Authorities Manual, Section 20, Operations, FRAM #s 4253, 4258, and 4261. These requirements are

35

Real time cross-layer adaptation for minimum energy wireless image transport using bit error rate control  

Science Conference Proceedings (OSTI)

In wireless multimedia systems, significant power is consumed in processing image/video content This research looks specifically at the energy cost of wireless image/video transport focusing on image quality as an end metric. The quality of received ... Keywords: PSNR values, real-time cross-layer adaptation, minimum-energy wireless image transport, bit error rate control, wireless multimedia systems, wireless image-video content processing, communication channel, image-video data compression, received signal quality, minimal RF energy consumption, optimization procedure, varying channel conditions, baseband signal, RF power amplifier, RF PA, optimal transmission bit error rate value, closed loop feedback control

J. Natarajan; S. Sen; A. Chatterjee

2011-07-01T23:59:59.000Z

36

APS Guideline for Work Area Demarcation, Warnings, and Controls  

NLE Websites -- All DOE Office Websites (Extended Search)

Work Area Demarcation, Warnings, and Controls Work Area Demarcation, Warnings, and Controls Introduction By means of the practices described below, CAT/XSD hopes to reduce risks resulting from persons inadvertently entering a hazardous work area. Creating an Exclusion Zone When performing work that could put others at risk, you must demarcate an exclusion zone around your work. This is typically done with yellow and black plastic "barricade tape." Use signs, placards, and other postings as necessary to warn others not to enter the demarcated area unless they have business in the area and have authorization (blanket or occasion-specific) to enter. Where appropriate, post special requirements for entry. Entering an Exclusion Zone Do not enter unless you meet all of the following conditions:

37

Assessment of industrial minerals and rocks in the controlled area  

Science Conference Proceedings (OSTI)

Yucca Mountain in Nye County, Nevada, is a potential site for a permanent repository for high-level nuclear waste in Miocene ash flow tuff. The Yucca Mountain controlled area occupies approximately 98 km{sup 2} that includes the potential repository site. The Yucca Mountain controlled area is located within the southwestern Nevada volcanic field, a large area of Miocene volcanism that includes at least four major calderas or cauldrons. It is sited on a remnant of a Neogene volcanic plateau that was centered around the Timber Mountain caldera complex. The Yucca Mountain region contains many occurrences of valuable or potentially valuable industrial minerals, including deposits with past or current production of construction aggregate, borate minerals, clay, building stone, fluorspar, silicate, and zeolites. The existence of these deposits in the region and the occurrence of certain mineral materials at Yucca Mountain, indicate that the controlled area may have potential for industrial mineral and rock deposits. Consideration of the industrial mineral potential within the Yucca Mountain controlled area is mainly based on petrographic and lithologic studies of samples from drill holes in Yucca Mountain. Clay minerals, zeolites, fluorite, and barite, as minerals that are produced economically in Nevada, have been identified in samples from drill holes in Yucca Mountain.

Castor, S.B. [Nevada Bureau of Mines and Geology, Reno, NV (United States); Lock, D.E. [Mackay School of Mines, Reno, NV (United States)

1996-08-01T23:59:59.000Z

38

Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 00: 115 (0000) Controlling model error of underdamped forecast models in  

E-Print Network (OSTI)

) Controlling model error of underdamped forecast models in sparse observational networks using a variance@maths.usyd.edu.au The problem of controlling covariance overestimation due to underdamped forecast models and sparsity the initial conditions and forecast model and to combat the associated forecast error and flow

Gottwald, Georg A.

39

Controlled Source Audio MT At Pilgrim Hot Springs Area (DOE GTP...  

Open Energy Info (EERE)

Controlled Source Audio MT At Pilgrim Hot Springs Area (DOE GTP) Exploration Activity Details Location Pilgrim Hot Springs Area Exploration Technique Controlled Source Audio MT...

40

Distributed control of hexapod wall climbing robot implementing Controller Area Network (CAN)  

Science Conference Proceedings (OSTI)

Service robots have been used in tasks that require navigation of horizontal or near horizontal surfaces. Some applications require service robots that are capable of moving along a vertical plane e.g., wall painting, window washing, non-destructive ... Keywords: CAN, biomechatronics, controller area networks, distributed control, hexapod robots, mechatronics, robot actuators, robot design, robot safety, robot sensors, service robots, wall climbing robots

Nkgatho Sylvester Tale; Glen Bright; W. L. Xu

2005-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Efficient Adaptive Error Parameterizations for Square Root or Ensemble Kalman Filters: Application to the Control of Ocean Mesoscale Signals  

Science Conference Proceedings (OSTI)

In Kalman filter applications, an adaptive parameterization of the error statistics is often necessary to avoid filter divergence, and prevent error estimates from becoming grossly inconsistent with the real error. With the classic formulation of ...

Jean-Michel Brankart; Emmanuel Cosme; Charles-Emmanuel Testut; Pierre Brasseur; Jacques Verron

2010-03-01T23:59:59.000Z

42

Investigation of surface inhomogeneity and estimation of the GOES skin temperature assimilation errors of the MM5 implied by the inhomogeneity over Houston metropolitan area  

E-Print Network (OSTI)

This study developed a parameterization method to investigate the impacts of inhomogeneous land surfaces on mesoscale model simulations using a high-resolution 1-d PBL model. Then, the 1-d PBL model was used to investigate the inhomogeneity-caused model errors in applying the GOES satellite skin temperature assimilation technique into the MM5 over the Houston metropolitan area (HOU). In order to investigate the surface inhomogeneity impacts on the surface fluxes and PBL variables over HOU, homo- and inhomogeneous 1-d PBL model simulations were performed over HOU and compared to each other. The 1-d PBL model was constructed so that the surface inhomogeneities were able to be represented within model grid elements using a methodology similar to Avissar and Pielke (1989). The surface inhomogeneities over HOU were defined using 30-m resolution land cover data produced by Global Environment Management (GEM), Inc. The inhomogeneity parameterization method developed in the 1-d model was applied to a standard MM5 simulation to test the applicability of the parameterization to 3-d mesoscale model simulations. From the 1-d simulations it was inferred that the surface inhomogeneities would enhance the sensible heat flux by about 36 % and reduce the latent heat flux by about 25 %, thereby inducing the warmer (0.7 %) and drier (-1.0 %) PBL and the colder and moister PBL top induced by greater turbulent diffusivities. The 3-d application of the inhomogeneity parameterization indicated consistent results with the 1-d in general, with additional effects of advection and differential local circulation. The original GOES simulation was warmer compared to observations over HOU than over surrounding areas. The satellite data assimilation itself would lead to a warm bias due to erroneous estimation of gridpoint-mean skin temperature by the satellite, but 1-d simulations indicate that the impact of this error should be much weaker than what was observed. It seems that, unless the already existing warm and dry bias of the MM5 is corrected, the inhomogeneity parameterization in the MM5 would adversely affect the MM5 performance. Therefore, consideration of the surface inhomogeneities in the urban area needs to be confined to the GOES skin temperature retrieval errors at the moment.

Han, Sang-Ok

2004-08-01T23:59:59.000Z

43

Application Layer Definition and Analyses of Controller Area Network Bus for Wire Harness Assembly Machine  

Science Conference Proceedings (OSTI)

With the feature of multi-master bus access, nondestructive contention-based arbitration and flexible configuration, Controller Area Network (CAN) bus is applied into the control system of Wire Harness Assembly Machine (WHAM). To accomplish desired goal, ...

Hui Guo; Ying Jiang

2006-11-01T23:59:59.000Z

44

EIA - Sorry! Unexpected Error  

Annual Energy Outlook 2012 (EIA)

Cold Fusion Error Unexpected Error Sorry An error was encountered. This error could be due to scheduled maintenance. Information about the error has been routed to the appropriate...

45

EIA - Sorry! Unexpected Error  

U.S. Energy Information Administration (EIA)

Home > Cold Fusion Error: Unexpected Error Sorry! An error was encountered. This error could be due to scheduled maintenance. Information about the error has ...

46

EIA - Sorry! Unexpected Error  

Annual Energy Outlook 2012 (EIA)

Home > Cold Fusion Error Unexpected Error Sorry An error was encountered. This error could be due to scheduled maintenance. Information about the error has been routed to the...

47

Pocket Guide: Preventing Switching Errors  

Science Conference Proceedings (OSTI)

There are many conditions that are frequently identified as factors contributing to, if not directly causing, accidents and other unwanted events. These have come to be called "error-likely conditions." In 2010, the Electric Power Research Institute (EPRI) published report 1020018, Error-Likely Situations in Power Switching. That report was the first large-scale effort to fill the knowledge gap in the area of error-likely situations in power switching, and it identified over 100 potentially error-likely ...

2011-12-12T23:59:59.000Z

48

SRF Test Areas Cryogenic System Controls Graphical User Interface  

SciTech Connect

Fermi National Accelerator Laboratory has constructed a superconducting 1.3 GHz cavity test facility at Meson Detector Building (MDB) and a superconducting 1.3 GHz cryomodule test facility located at the New Muon Lab Building (NML). The control of these 2K cryogenic systems is accomplished by using a Synoptic graphical user interface (GUI) to interact with the underlying Fermilab Accelerator Control System. The design, testing and operational experience of employing the Synoptic client-server system for graphical representation will be discussed. Details on the Synoptic deployment to the MDB and NML cryogenic sub-systems will also be discussed. The implementation of the Synoptic as the GUI for both NML and MDB has been a success. Both facilities are currently fulfilling their individual roles in SCRF testing as a result of successful availability of the cryogenic systems. The tools available for creating Synoptic pages will continue to be developed to serve the evolving needs of users.

DeGraff, B.D.; Ganster, G.; Klebaner, A.; Petrov, A.D.; Soyars, W.M.; /Fermilab

2011-06-09T23:59:59.000Z

49

Secure Broadcast with One-Time Signatures in Controller Area Networks  

Science Conference Proceedings (OSTI)

Broadcast authentication in Controller Area Networks CAN is subject to real time constraints that are hard to satisfy by expensive public key primitives. For this purpose the authors study here the use of one-time signatures which can be built on the ... Keywords: Authentication, Broadcast, Controller Area Networks CAN, One-Time Signatures, S12

Bogdan Groza, Pal-Stefan Murvay

2013-07-01T23:59:59.000Z

50

Improving monitoring, control and protection of power grid using wide area synchro-phasor measurements  

Science Conference Proceedings (OSTI)

When disturbances occur in power grid, monitoring, control and protection systems are required to stop the grid degradation, restore it to a normal state, and hence minimize their effects. However, in wide area power grid resulting from large extension ... Keywords: emergency control and optimization systems, phasor measurement units, power system, wide area protection system

Hamid Bentarzi

2010-05-01T23:59:59.000Z

51

Distributed Hierarchical Control of Multi-Area Power Systems with Improved Primary Frequency Regulation  

SciTech Connect

The conventional distributed hierarchical control architecture for multi-area power systems is revisited. In this paper, a new distributed hierarchical control architecture is proposed. In the proposed architecture, pilot generators are selected in each area to be equipped with decentralized robust control as a supplementary to the conventional droop speed control. With the improved primary frequency control, the system frequency can be restored to the nominal value without the help of secondary frequency control, which reduces the burden of the automatic generation control for frequency restoration. Moreover, the low frequency inter-area electromechanical oscillations can also be effectively damped. The effectiveness of the proposed distributed hierarchical control architecture is validated through detailed simulations.

Lian, Jianming; Marinovici, Laurentiu D.; Kalsi, Karanjit; Du, Pengwei; Elizondo, Marcelo A.

2012-12-12T23:59:59.000Z

52

Integrated control-path design and error recovery in the synthesis of digital microfluidic lab-on-chip  

Science Conference Proceedings (OSTI)

Recent advances in digital microfluidics have led to tremendous interest in miniaturized lab-on-chip devices for biochemical analysis. Synthesis tools have also emerged for the automated design of lab-on-chip from the specifications of laboratory protocols. ... Keywords: Error recovery, biochips, microfluidics, synthesis

Yang Zhao; Tao Xu; Krishnendu Chakrabarty

2010-08-01T23:59:59.000Z

53

AREA  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AREA AREA FAQ # Question Response 316 vs DCAA FAQ 1 An inquiry from CH about an SBIR recipient asking if a DCAA audit is sufficient to comply with the regulation or if they need to add this to their audit they have performed yearly by a public accounting firm. 316 audits are essentially A-133 audits for for-profit entities. They DO NOT replace DCAA or other audits requested by DOE to look at indirect rates or incurred costs or closeouts. DCAA would never agree to perform A-133 or our 316 audits. They don't do A-133 audits for DOD awardees. The purpose of the audits are different, look at different things and in the few instances of overlap, from different perspectives. 316

54

Tone Dependent Color Error Diffusion  

E-Print Network (OSTI)

Conventional grayscale error di#usion halftoning produces worms and other objectionable artifacts. Tone dependent error di#usion #Li and Allebach# reduces these artifacts by controlling the di#usion of quantization errors based on the input graylevel. Li and Allebach design error #lter weights and thresholds for each #input# graylevel optimized based on a human visual system #HVS# model. This paper extends tone dependent error di#usion to color. In color error di#usion, what color to render becomes a major concern in addition to #nding optimal dot patterns. We present a visually optimum design approach for input level #tone# dependent error #lters #for each color plane#. The resulting halftones reduce traditional error di#usion artifacts and achieve greater accuracy in color rendition. 1.

Vishal Monga; Brian L. Evans

2004-01-01T23:59:59.000Z

55

Controlled Source Audio MT At Cove Fort Area - Liquid (Combs 2006) | Open  

Open Energy Info (EERE)

Cove Fort Area - Liquid (Combs 2006) Cove Fort Area - Liquid (Combs 2006) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Controlled Source Audio MT At Cove Fort Area (Combs 2006) Exploration Activity Details Location Cove Fort Geothermal Area Exploration Technique Controlled Source Audio MT Activity Date Usefulness not indicated DOE-funding Unknown Notes "SP, dipole-dipole resistivity, CSAMT; sufficient electrical data are available. Reservoir model?" References Jim Combs (1 January 2006) Historical Exploration And Drilling Data From Geothermal Prospects And Power Generation Projects In The Western United States Retrieved from "http://en.openei.org/w/index.php?title=Controlled_Source_Audio_MT_At_Cove_Fort_Area_-_Liquid_(Combs_2006)&oldid=598122"

56

The Department's Controls over Leased Space in the National Capital Area |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

The Department's Controls over Leased Space in the National Capital The Department's Controls over Leased Space in the National Capital Area The Department's Controls over Leased Space in the National Capital Area The Department of Energy (Department) manages a sizeable inventory of real property, including both owned and leased properties. The Office of Management is responsible for the Department's real estate function, which includes acquisition by lease or purchase, inventory, utilization surveys, tracking and disposal of real property assets. In Fiscal Year 2007, the Department had approximately 10 million square feet of leased property at a cost of approximately $168 million. This included approximately 2.3 million square feet in the Washington, D.C. metropolitan area costing approximately $45.6 million. The Department's Controls over Leased Space in the National Capital Area

57

Identification of Critical Voltage Control Areas (VCA) Version 3.1  

Science Conference Proceedings (OSTI)

Identify the weak sub-system and the requirement of reactive power reserves The objective of this research project is to investigate and develop a methodology for identifying areas in power systems that are prone to voltage instability under particular operating conditions and contingencies. These areas, which are prone to instability due to their lack of reactive power reserves, are referred to as voltage control areas (VCAs). Once VCAs are identified, methods of determining their adequate reactive powe...

2009-11-24T23:59:59.000Z

58

Identification of Critical Voltage Control Areas and Determination of Required Reactive Power Reserves  

Science Conference Proceedings (OSTI)

The objective of this research project is to investigate and devise a methodology for identifying areas in power systems that are prone to voltage instability under particular operating conditions and contingencies. These areas, which are prone to instability due to their lack of reactive power reserves, are referred to as critical voltage control areas (VCAs). Once VCAs are identified, methods of determining their adequate reactive power reserve requirements to ensure secure system operation under all c...

2008-12-09T23:59:59.000Z

59

Low Probability Tail Event Analysis and Mitigation in BPA Control Area: Task One Report  

SciTech Connect

This is a report for task one of the tail event analysis project for BPA. Tail event refers to the situation in a power system when unfavorable forecast errors of load and wind are superposed onto fast load and wind ramps, or non-wind generators falling short of scheduled output, the imbalance between generation and load becomes very significant. This type of events occurs infrequently and appears on the tails of the distribution of system power imbalance; therefore, is referred to as tail events. This report analyzes what happened during the Electric Reliability Council of Texas (ERCOT) reliability event on February 26, 2008, which was widely reported because of the involvement of wind generation. The objective is to identify sources of the problem, solutions to it and potential improvements that can be made to the system. Lessons learned from the analysis include the following: (1) Large mismatch between generation and load can be caused by load forecast error, wind forecast error and generation scheduling control error on traditional generators, or a combination of all of the above; (2) The capability of system balancing resources should be evaluated both in capacity (MW) and in ramp rate (MW/min), and be procured accordingly to meet both requirements. The resources need to be able to cover a range corresponding to the variability of load and wind in the system, additional to other uncertainties; (3) Unexpected ramps caused by load and wind can both become the cause leading to serious issues; (4) A look-ahead tool evaluating system balancing requirement during real-time operations and comparing that with available system resources should be very helpful to system operators in predicting the forthcoming of similar events and planning ahead; and (5) Demand response (only load reduction in ERCOT event) can effectively reduce load-generation mismatch and terminate frequency deviation in an emergency situation.

Lu, Shuai; Makarov, Yuri V.

2009-04-01T23:59:59.000Z

60

Human Error in Airway Facilities  

E-Print Network (OSTI)

This report examines human errors in Airway Facilities (AF) with the intent of preventing these errors from being passed on to the new Operations Control Centers. To effectively manage errors, they first have to be identified. Human factors engineers researched human error literature, analyzed human errors recorded in AF databases, and conducted structured interviews with AF representatives. This study enabled them to categorize the types of human errors, identify potential causal factors, and recommend strategies for their mitigation. The results provide preventative measures that designers, developers, and users can take to reduce human error. 17. Key Words Human Error Error Mitigation Operations Control Centers Error Mitigation Strategies 18. Distribution Statement This document is available to the public through the National Technical Information Service, Springfield, Virginia, 22161. 19. Security Classif. (of this report) 20. Security Classif. (of this page) 21. No. of Pages 23 22. Price Form DOT F 1700.7 (8-72) Reproduction of completed page authorized iii ACKNOWLEDGMENTS This research was accomplished under the sponsorship of the Office of Chief Scientist for Human Factors, AAR-100. The research team greatly appreciates the support supplied by Beverly Clark of AOP-30 and our subject matter expert, Kermit Grayson of Grayson Consulting. We also wish to extend our thanks to the people interviewed at the facilities who gave their valuable time in helping us to achieve the goals of our project. iv v Table of Contents Page Acknowledgments..........................................................................................................................iii Executive Summary......................................................................................

Vicki Ahlstrom; Vicki Ahlstrom Act; Donald G. Hartman

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Application of carbon dioxide (CO{sub 2}) for controlling subsurface fire area: Indian context  

Science Conference Proceedings (OSTI)

In bord and pillar method of mining, the panels are sealed off after depillaring. Depending upon the site specific condition, 40 to 45 % coal are left in depillared panel as stook, loose coal left in goaf, hard coal on floor and roof of the panel. The left out coals in goaf area start oxidation, and this leads to spontaneous heating in side sealed off area. For assessment of fire in underground coal mines, thermo-compositional monitoring plays an important role. This paper presents scientific relevance and selective criteria for use of inert gas for control of subsurface fire. Finally the paper discusses spontaneous heating problem in sealed off area and application of inertisation technology by using CO, to prevent and control sealed off fire at Haripur Colliery, Kenda Area, ECL, India.

Mohalik, N.K.; Singh, V.K.; Singh, R.V.K. [Central Institute of Mining & Fuel Research, Dhanbad (India)

2009-07-15T23:59:59.000Z

62

Identification of Critical Voltage Control Areas and Determination of Required Reactive Power Reserves  

Science Conference Proceedings (OSTI)

This Technical Update reports on the development of a highly automated method for identifying Voltage Control Areas (VCAs), areas prone to voltage instability in practical power system models. For a wide range of system conditions and contingencies, the technique can identify the buses in each VCA and identify VCAs that are common for a set of contingencies and/or conditions. In addition, the method identifies the generators that are critical to maintaining stability for a given VCA. The methods develope...

2007-09-24T23:59:59.000Z

63

MODEL PREDICTIVE CONTROL OF A MICROGRID WITH PLUG-IN VEHICLES: ERROR MODELING AND THE ROLE OF PREDICTION HORIZON  

E-Print Network (OSTI)

typically covers a small geographic area and contains both loads and localized energy generation and storage, and the con- trol is optimized for minimum generator fuel usage. A variety of horizons and levels in increased use of battery storage, this does not necessarily pro- duce significant decreases in fuel usage

Papalambros, Panos

64

Assessment of model error in limited-area simulations of shallow water test cases on the C-grid plane and sphere  

Science Conference Proceedings (OSTI)

A suite of limited-area test cases for the solution of the shallow water (SW) equations on the plane and sphere are collected and evaluated using the Model for Predication Across Scales (MPAS) modeling system. Included are regional simulations of ...

Christopher A. Jeffery

65

Modeling Effects of Physical Factors on Controller Area Network in Cyber-physical Systems  

Science Conference Proceedings (OSTI)

Cyber-physical systems (CPS) are becoming a promising research field to integrate the computing components, the physical processes, and the communication networks. A primary challenge in designing CPS is to understand the effect of physical factors on ... Keywords: Cyber-physical systems (CPS), Controller Area Network (CAN), performance analysis, temperature, electromagnetic interference

Bo Shen, Xingshe Zhou, Ru Wang

2013-08-01T23:59:59.000Z

66

Multifunctionality and control of the crumpling and unfolding of large-area graphene  

E-Print Network (OSTI)

Crumpled graphene films are widely used, for instance in electronics1, energy storage2,3, composites4,5 and biomedicine6. Although it is known that the degree of crumpling affects graphene’s properties and the performance of graphene-based devices and materials3,5,7, the controlled folding and unfolding of crumpled graphene films has not been demonstrated. Here we report an approach to reversibly control the crumpling and unfolding of large-area graphene sheets. We show with experiments, atomistic simulations and theory that, by harnessing the mechanical instabilities of graphene adhered on a biaxially pre-stretched polymer substrate and by controlling the relaxation of the pre-strains in a particular order, graphene films can be crumpled into tailored self-organized hierarchical structures that mimic superhydrophobic leaves. The approach enables us to fabricate large-area conductive coatings and electrodes

Jianfeng Zang; Seunghwa Ryu; Nicola Pugno; Qiming Wang; Qing Tu; Markus J. Buehler; Xuanhe Zhao

2013-01-01T23:59:59.000Z

67

Dynamic Analysis and Stability of the Load Frequency Control in Two Area Power System with Steam Turbine  

Science Conference Proceedings (OSTI)

The aim of this paper is to model, analysis and simulation of load frequency control in two area power system and parameters variation effects. State equations of a LFC in two area power system for a steam turbine are proposed. Then by examining some ... Keywords: load frequency control, dynamic analysis, integral controller

Ghazanfar Shahgholian; Serareh Yazdekhasti; Pegah Shafaghi

2009-12-01T23:59:59.000Z

68

DOE-STD-1042-93 CN-1; Guide to Good Practices for Control Area Activities  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-93 2-93 June 1993 CHANGE NOTICE NO. 1 December 1998 DOE STANDARD GUIDE TO GOOD PRACTICES FOR CONTROL AREA ACTIVITIES U.S. Department of Energy AREA MISC Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. This document has been reproduced from the best available copy. Available to DOE and DOE contractors from ES&H Technical Information Services, U.S. Department of Energy, (800) 473-4375, fax: (301) 903-9823. Available to the public from the U.S. Department of Commerce, Technology Administration, National Technical Information Service, Springfield, VA 22161; (703) 605-6000. Change Notice No.1 DOE-STD-1042-93 December 1998 Guide to Good Practices for Operations Turnover Page/Section Change Concluding Material Preparing Activity was changed from

69

Surface area generation and droplet size control in solvent extraction systems utilizing high intensity electric fields  

DOE Patents (OSTI)

A method and system for solvent extraction where droplets are shattered by a high intensity electric field. These shattered droplets form a plurality of smaller droplets which have a greater combined surface area than the original droplet. Dispersion, coalescence and phase separation are accomplished in one vessel through the use of the single pulsing high intensity electric field. Electric field conditions are chosen so that simultaneous dispersion and coalescence are taking place in the emulsion formed in the electric field. The electric field creates a large amount of interfacial surface area for solvent extraction when the droplet is disintegrated and is capable of controlling droplet size and thus droplet stability. These operations take place in the presence of a counter current flow of the continuous phase.

Scott, Timothy C. (Knoxville, TN); Wham, Robert M. (Oak Ridge, TN)

1988-01-01T23:59:59.000Z

70

DOE-STD-1162-2003; Instrumentation and Control Functional Area Qualification Standard  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2-2003 2-2003 June 2003 DOE STANDARD INSTRUMENTATION AND CONTROL FUNCTIONAL AREA QUALIFICATION STANDARD DOE Defense Nuclear Facilities Technical Personnel U.S. Department of Energy AREA TRNG Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited NOT MEASUREMENT SENSITIVE This document has been reproduced directly from the best available copy. Available to DOE and DOE contractors from ES&H Technical Information Services, U.S. Department of Energy, (800) 473-4375, fax: (301) 903-9823. Available to the public from the U.S. Department of Commerce, Technology Administration, National Technical Information Service, Springfield, VA 22161; (703) 605-6000. DOE-STD-1162-2003 iii

71

Regional and local networks of horizontal control, Cerro Prieto Geothermal Area, Mexico  

DOE Green Energy (OSTI)

The Cerro Prieto geothermal area in the Mexicali Valley 30 km southeast of Mexicali, Baja California, is probably deforming due to (1) the extraction of large volumes of steam and hot water, and (2) active tectonism. Two networks of precise horizontal control were established in Mexicali Valley by the US Geological Survey in 1977-78 to measure both types of movement as they occur. These networks consisted of (1) a regional trilateration net brought into the mountain ranges west of the geothermal area from survey stations on an existing US Geological Survey crustal-strain network north of the international border, and (2) a local net tied to stations in the regional net and encompassing the area of present and planned geothermal production. Survey lines in this net were selected to span areas of probable ground-surface movements in and around the geothermal area. Electronic distance measuring (EDM) instruments, operating with a modulated laser beam, were used to measure the distances between stations in both networks. The regional net was run using a highly precise long-range EDM instrument, helicopters for transportation of men and equipment to inaccessible stations on mountain peaks, and a fixed wing airplane flying along the line of sight. Precision of measurements with this complex long-range system approached 0.2 parts per million of line length. The local net was measured with medium range EDM instrument requiring minimal ancillary equipment. Precision of measurements with this less complex system approached 3 parts per million for the shorter line lengths. The detection and analysis of ground-surface movements resulting from tectonic strains or induced by geothermal fluid withdrawal is dependent on subsequent resurveys of these networks.

Massey, B.L.

1978-01-01T23:59:59.000Z

72

Distortion Representation of Forecast Errors  

Science Conference Proceedings (OSTI)

Forecast error is decomposed into three components, termed displacement error, amplitude error, mid residual error, respectively. Displacement error measures how much of the forecast error can be accounted for by moving the forecast to best fit ...

Ross N. Hoffman; Zheng Liu; Jean-Francois Louis; Christopher Grassoti

1995-09-01T23:59:59.000Z

73

Tensor controlled-source audiomagnetotelluric survey over the Sulphur Springs thermal area, Valles Caldera  

DOE Green Energy (OSTI)

The extensive tensor CSAMT survey of the Sulphur Springs geothermal area, Valles Caldera, New Mexico, consists of 45 high-quality soundings acquired in continuous-profiling mode and has been funded in support of CSDP drillholes VC-2A and VC-2B. Two independent transmitter bipoles were energized for tensor measurements using a 30 KW generator placed approximately 13 km south of the VC-2B wellhead. These current bipoles gave source fields over the receiver sites which were substantially independent in polarization and provided well-resolved tensor elements. The surroundings in the Sulphur Springs area were arranged in four profiles to cross major structural features. At each receiver, two orthogonal electric and three orthogonal magnetic field components were acquired in accordance with tensor principles. Derivation of model resistivity cross sections from our data and their correlation with structure and geochemistry are principal components of the OBES award. However, Sulphur Springs also can serve as a natural testbed of traditional assumptions and methods of CSAMT with quantification through rigorous model analysis. Issues here include stability and accuracy of scalar versus tensor estimates, theoretical versus observed field patterns over the survey area, and controls on near-field effects using CSAMT and natural field data both inside and outside the caldera.

Wannamaker, P.E.

1991-10-01T23:59:59.000Z

74

Standard Test Method for Gravimetric Determination of Nonvolatile Residue (NVR) in Environmentally Controlled Areas for Spacecraft  

E-Print Network (OSTI)

1.1 This test method covers the determination of nonvolatile residue (NVR) fallout in environmentally controlled areas used for the assembly, testing, and processing of spacecraft. 1.2 The NVR of interest is that which is deposited on sampling plate surfaces at room temperature: it is left to the user to infer the relationship between the NVR found on the sampling plate surface and that found on any other surfaces. 1.3 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use. 1.4 The values stated in SI units are to be regarded as standard. No other units of measurement are included in this standard.

American Society for Testing and Materials. Philadelphia

2008-01-01T23:59:59.000Z

75

Wide-Area Energy Storage and Management system to Balance Intermittent Resources in the Bonneville Power Administration and California ISO Control Areas  

DOE Green Energy (OSTI)

The entire project addresses the issue of mitigating additional intermittency and fast ramps that occur at higher penetration of intermittent resources, including wind genera-tion, in the Bonneville Power Administration (BPA) and the California Independent Sys-tem Operator (California ISO) control areas. The proposed Wide Area Energy Storage and Management System (WAEMS) will address the additional regulation requirement through the energy exchange between the participating control areas and through the use of energy storage and other generation resources. For the BPA and California ISO control centers, the new regulation service will look no different comparing with the traditional regulation resources. The proposed project will benefit the regulation service in these service areas, regardless of the actual degree of penetration of the intermittent resources in the regions. The project develops principles, algorithms, market integration rules, functional de-sign and technical specifications for the WAEMS system. The project is sponsored by BPA and supported in kind by California ISO, Beacon Power Corporation, and the Cali-fornia Energy Commission (CEC).

Makarov, Yuri V.; Yang, Bo; DeSteese, John G.; Lu, Shuai; Miller, Carl H.; Nyeng, Preben; Ma, Jian; Hammerstrom, Donald J.; Vishwanathan, Vilanyur V.

2008-06-30T23:59:59.000Z

76

Analysis of Solar Two Heliostat Tracking Error Sources  

DOE Green Energy (OSTI)

This paper explores the geometrical errors that reduce heliostat tracking accuracy at Solar Two. The basic heliostat control architecture is described. Then, the three dominant error sources are described and their effect on heliostat tracking is visually illustrated. The strategy currently used to minimize, but not truly correct, these error sources is also shown. Finally, a novel approach to minimizing error is presented.

Jones, S.A.; Stone, K.W.

1999-01-28T23:59:59.000Z

77

Error detection method  

DOE Patents (OSTI)

An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).

Olson, Eric J.

2013-06-11T23:59:59.000Z

78

Human Error Reduction  

Science Conference Proceedings (OSTI)

Reducing human error is recognized in the power-generation industry as a key factor in reducing safety-related events as well as improving asset availability. Achieving a sustainable culture change that leads to human error reduction in plant operations and maintenance remains a significant challenge to the industry. This report presents a behavior-based approach to human performance improvement and error reduction. The report explains fundamental elements of culture change and describes proven practices...

2010-12-23T23:59:59.000Z

79

Video Signal Error Concealment  

Science Conference Proceedings (OSTI)

... the video quality in packet loss transmission environments: error ... along the direction of each detected straight line. The lines are used to divide the ...

2011-03-29T23:59:59.000Z

80

Definition: Control Performance Standard | Open Energy Information  

Open Energy Info (EERE)

Related Terms Area Control Error References Glossary of Terms Used in Reliability Standards An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline...

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Human-centered automation of air traffic control operations in the terminal area  

E-Print Network (OSTI)

Introduction: Air Traffic Control operations are described extensively in the ATC manuals such as the Airman's Information Manual [1] and the ATC Controller's Handbook [2]. Mathematical analysis has also been conducted for ...

Idris, Husni Rifat

1994-01-01T23:59:59.000Z

82

Controller and computer display interface in an advanced terminal area ATC system  

E-Print Network (OSTI)

Controller and display interactions and information requirements in an advanced Air Traffic Control (ATC) system are investigated. A description of the present ATC system and of some proposed developments for the future ...

Dopart, Kevin Peter

1980-01-01T23:59:59.000Z

83

Controlled Source Audio MT At Soda Lake Area (Combs 2006) | Open...  

Open Energy Info (EERE)

Exploration Technique Controlled Source Audio MT Activity Date Usefulness not indicated DOE-funding Unknown Notes "EM sounding, MT, CSAMT, dipole-dipole resistivity; reservoir...

84

Errors of Nonobservation  

U.S. Energy Information Administration (EIA) Indexed Site

Errors of Nonobservation Errors of Nonobservation Finally, several potential sources of nonsampling error and bias result from errors of nonobservation. The 1994 MECS represents, in terms of sampling coverage, the mail frame of the 1994 ASM or 98 percent of the manufacturing universe, which is consistent with the 1991 MECS. Unit Nonresponse Even though the MECS is a legislatively mandated survey and sampled establishments are given sufficient opportunity and time to respond, nonresponse occurs in the MECS and is accounted for in a nonresponse adjustment of sampling weights. Clearly, had these adjustments not been performed, the estimates produced from only the responding establishments would not have been representative of the target universe for the MECS. Such estimates would have been biased. Adjusting the sampling weights to

85

Sources of Error  

Science Conference Proceedings (OSTI)

...Sources of error in damage tolerance analysis can be classified as: Uncertainty and assumptions in data input Uncertainty due to assumptions about flaws Interpretations of, and assumptions in, stress history Inaccuracies in stress intensity Computer...

86

A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control  

E-Print Network (OSTI)

-latency robust data streaming between the corresponding distributed components. For example, a typical Grid-- Efficient and robust data streaming services are a critical requirement of emerging Grid applications, which for wide-area high-performance distributed computing. As Grid technologies and testbeds mature

Parashar, Manish

87

Assessing the Impact of Differential Genotyping Errors on Rare Variant Tests of Association  

E-Print Network (OSTI)

Genotyping errors are well-known to impact the power and type I error rate in single marker tests of association. Genotyping errors that happen according to the same process in cases and controls are known as non-differential ...

Fast, Shannon Marie

88

Controlled-source electromagnetic survey at Soda Lakes geothermal area, Nevada  

DOE Green Energy (OSTI)

The EM-60 system, a large-moment frequency-domain electromagnetic loop prospecting system, was operated in the Soda Lakes geothermal area, Nevada. Thirteen stations were occupied at distances ranging from 0.5-3.0 km from two transmitter sites. These yielded four sounding curves--the normalized amplitudes and phases of the vertical and radial magnetic fields as a function of frequency--at each station. In addition, two polarization ellipse parameters, ellipticity and tilt angle, were calculated at each frequency. The data were interpreted by means of a least-squares inversion procedure which fits a layered resistivity model to the data. A three-layer structure is indicated, with a near-surface 20 ohm-m layer of 100-400 m thickness, a middle 2 ohm-m layer of approximately 1 km thickness, and a basement of greater than 10 ohm-m. The models indicate a northwesterly structural strike; the top and middle layers seem to thicken from northeast to southwest. The results agree quite well with previous results of dipole-dipole and magnetotelluric (MT) surveys. The EM-60 survey provided greater depth penetration (1 to 1.5 km) than dipole-dipole, but MT far surpassed both in its depth of exploration. One advantage of EM in this area is its ease and speed of operation. Another advantage, its relative insensitivity to lateral inhomogeneities, is not as pronounced here as it would be in areas of more complex geology.

Stark, M.; Wilt, M.; Haught, J.R.; Goldstein, N.

1980-07-01T23:59:59.000Z

89

MEASURING LOCAL GRADIENT AND SKEW QUADRUPOLE ERRORS IN RHIC IRS.  

SciTech Connect

The measurement of local linear errors at RHIC interaction regions using an ''action and phase'' analysis of difference orbits has already been presented. This paper evaluates the accuracy of this technique using difference orbits that were taken when known gradient errors and skew quadrupole errors were intentionally introduced. It also presents action and phase analysis of simulated orbits when controlled errors are intentionally placed in a RHIC simulation model.

CARDONA,J.; PEGGS,S.; PILAT,R.; PTITSYN,V.

2004-07-05T23:59:59.000Z

90

Controlled growth of larger heterojunction interface area for organic photosensitive devices  

DOE Patents (OSTI)

An optoelectronic device and a method of fabricating a photosensitive optoelectronic device includes depositing a first organic semiconductor material on a first electrode to form a continuous first layer having protrusions, a side of the first layer opposite the first electrode having a surface area at least three times greater than an underlying lateral cross-sectional area; depositing a second organic semiconductor material directly on the first layer to form a discontinuous second layer, portions of the first layer remaining exposed; depositing a third organic semiconductor material directly on the second layer to form a discontinuous third layer, portions of at least the second layer remaining exposed; depositing a fourth organic semiconductor material on the third layer to form a continuous fourth layer, filling any exposed gaps and recesses in the first, second, and third layers; and depositing a second electrode on the fourth layer, wherein at least one of the first electrode and the second electrode is transparent, and the first and third organic semiconductor materials are both of a donor-type or an acceptor-type relative to second and fourth organic semiconductor materials, which are of the other material type.

Yang, Fan (Somerset, NJ); Forrest, Stephen R. (Ann Arbor, MI)

2009-12-29T23:59:59.000Z

91

Regression Error Characteristic CurVes  

E-Print Network (OSTI)

Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generalize ROC curves to regression. REC curves plot the error tolerance on the xaxis versus the percentage of points predicted within the tolerance on the y-axis. The resulting curve estimates the cumulative distribution function of the error. The REC curve visually presents commonly-used statistics. The area-over-the-curve (AOC) is a biased estimate of the expected error. The R 2 value can be estimated using the ratio of the AOC for a given model to the AOC for the null model. Users can quickly assess the relative merits of many regression functions by examining the relative position of their REC curves. The shape of the curve reveals additional information that can be used to guide modeling. 1.

Jinbo Bi; Kristin P. Bennett

2003-01-01T23:59:59.000Z

92

Western Area Power Administration's Control and Administration of American Recovery and Reinvestment Act Borrowing Authority, OAS-RA-12-01  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Management Alert Management Alert Western Area Power Administration's Control and Administration of American Recovery and Reinvestment Act Borrowing Authority OAS-RA-12-01 November 2011 Department of Energy Washington, DC 20585 November 4, 2011 MEMORANDUM FOR THE ADMINISTRATOR, WESTERN AREA POWER ADMINISTRATION FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert on "The Western Area Power Administration's Control and Administration of American Recovery and Reinvestment Act Borrowing Authority" IMMEDIATE CONCERN Despite internal control and administration issues with its first project authorized under its $3.25 billion American Recovery and Reinvestment Act of 2009 (Recovery Act) borrowing authority, the Department of Energy's (Department) Western Area Power Administration

93

Modular error embedding  

DOE Patents (OSTI)

A method of embedding auxiliary information into the digital representation of host data containing noise in the low-order bits. The method applies to digital data representing analog signals, for example digital images. The method reduces the error introduced by other methods that replace the low-order bits with auxiliary information. By a substantially reverse process, the embedded auxiliary data can be retrieved easily by an authorized user through use of a digital key. The modular error embedding method includes a process to permute the order in which the host data values are processed. The method doubles the amount of auxiliary information that can be added to host data values, in comparison with bit-replacement methods for high bit-rate coding. The invention preserves human perception of the meaning and content of the host data, permitting the addition of auxiliary data in the amount of 50% or greater of the original host data.

Sandford, II, Maxwell T. (Los Alamos, NM); Handel, Theodore G. (Los Alamos, NM); Ettinger, J. Mark (Los Alamos, NM)

1999-01-01T23:59:59.000Z

94

Characterization and Impact of Extreme Forecast Errors on Power Systems  

SciTech Connect

Extreme events in the electrical power system, caused by the load and wind forecasting errors, can impact the power system infrastructure via two main avenues. The first avenue is a sudden and significant power unbalance exceeding reasonable operating reserve capacity. The second is a sudden increase of power flows on the system critical paths causing transmission violations. The challenge in managing these system unbalances is more significant for a standalone balancing area operation. The consolidation of balancing authorities into a single balancing area can offset the operating reserve problem but this strategy enhances incremental power flows on the transmission interfaces, potentially leading to more unpredictable transmission congestion. This paper evaluates the expectancy of occurrence of tail events due to forecast error extremes using California ISO and BPA data. Having this type of information, independent system operators and operating utilities could be better prepared to address the tail events by exploring alternative reserve options such as: wide area control coordination, new operating proce-dures and remedial actions.

Heydt, Gerald T.; Vittal, Vijay; Malhara, Sunita V.; Makarov, Yuri V.; Zhou, Ning; Etingov, Pavel V.

2011-12-15T23:59:59.000Z

95

Sampling Errors in Seasonal Forecasting  

Science Conference Proceedings (OSTI)

The limited numbers of start dates and ensemble sizes in seasonal forecasts lead to sampling errors in predictions. Defining the magnitude of these sampling errors would be useful for end users as well as informing decisions on resource ...

Stephen Cusack; Alberto Arribas

2009-03-01T23:59:59.000Z

96

Quantum Zero-error Capacity  

E-Print Network (OSTI)

We define here a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.

Rex A. C. Medeiros; Francisco M. De Assis

2006-11-08T23:59:59.000Z

97

How Do Actuaries Use Data Containing Errors?: Models of Error Detection and Error Correction  

Science Conference Proceedings (OSTI)

Information systems provide data for business processes and decision making. There is strong evidence that data items stored in organizational databases have a significant rate of errors. If undetected in use, errors in data may significantly affect ...

Barbara D. Klein

1997-10-01T23:59:59.000Z

98

Firewall Configuration Errors Revisited  

E-Print Network (OSTI)

The first quantitative evaluation of the quality of corporate firewall configurations appeared in 2004, based on Check Point FireWall-1 rule-sets. In general that survey indicated that corporate firewalls were often enforcing poorly written rule-sets, containing many mistakes. The goal of this work is to revisit the first survey. The current study is much larger. Moreover, for the first time, the study includes configurations from two major vendors. The study also introduce a novel "Firewall Complexity" (FC) measure, that applies to both types of firewalls. The findings of the current study indeed validate the 2004 study's main observations: firewalls are (still) poorly configured, and a rule-set's complexity is (still) positively correlated with the number of detected risk items. Thus we can conclude that, for well-configured firewalls, ``small is (still) beautiful''. However, unlike the 2004 study, we see no significant indication that later software versions have fewer errors (for both vendors).

Wool, Avishai

2009-01-01T23:59:59.000Z

99

A controlled source audiomagnetotelluric investigation of the Ennis Hot Springs Geothermal Area, Ennis, Montana: Final report: Part 2  

DOE Green Energy (OSTI)

A controlled-source audiomagnetotelluric survey (CSAMT) at the Ennis Hot Springs geothermal area revealed a low resistivity anomaly (3 ohm-m to 10 ohm-m) in the vicinity of the hot springs. The hot springs issue from the base of a gravel terrace on the west side of the Madison Valley. Low apparent resistivities extend to the west under the gravel terrace as well as to the north in an elongated ''plume''. To the southwest the apparent resistivity increases rapidly due to an uplift in the valley basement. One-dimensional inverse modeling in the center of the valley indicates a buried conductive layer probably due to a thick layer of clay-bearing sediments since a nearby test well does not show elevated temperatures. Near the hot springs, one-dimensional inverse modeling did not prove useful, partly because of the two and three-dimensional nature of the structure. Two-dimensional forward modeling near the hot springs provides a more quantitative delineation of the low resistivity zone and of the faulted basement uplifts to the west and south. Details of the structure beneath the conductive zone near the hot springs are difficult to resolve and most of the model control in this region is provided by well logs and seismic data. A technique for correcting data collected in the region close to the transmitter where the plane wave assumption is not valid has derived and has been applied to the low frequency data. 29 refs., 35 figs., 1 tab.

Emilsson, G.R.

1988-06-01T23:59:59.000Z

100

A survey of monitoring and assay systems for release of metals from radiation controlled areas at LANL.  

Science Conference Proceedings (OSTI)

At Los Alamos National Laboratory (LANL), a recent effort in waste minimization has focused on scrap metal from radiological controlled areas (RCAs). In particular, scrap metal from RCAs needs to be dispositioned in a reasonable and cost effective manner. Recycling of DOE scrap metals from RCAs is currently under a self-imposed moratorium. Since recycling is not available and reuse is difficult, often metal waste from RCAs, which could otherwise be recycled, is disposed of as low-level waste. Estimates at LANL put the cost of low-level waste disposal at $550 to $4000 per cubic meter, depending on the type of waste and the disposal site. If the waste is mixed, the cost for treatment and disposal can be as high as $50,000 per cubic meter. Disposal of scrap metal as low-level waste uses up valuable space in the low-level waste disposal areas and requires transportation to the disposal site under Department of Transportation (DOT) regulations for low-level waste. In contrast, disposal as non-radioactive waste costs as little as $2 per cubic meter. While recycling is unavailable, disposing of the metal at an industrial waste site could be the best solution for this waste stream. A Green Is Clean (GIC) type verification program needs to be in place to provide the greatest assurance that the waste does not contain DOE added radioactivity. This paper is a review of available and emerging radiation monitoring and assay systems that could be used for scrap metal as part of the LANL GIC program.

Gruetzmacher, K. M. (Kathleen M.); MacArthur, D. W. (Duncan W.)

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Nebular Abundance Errors  

E-Print Network (OSTI)

The errors inherent to the use of the standard "ionization correction factor" ("i_CF") method of calculating nebular conditions and relative abundances of H, He, N, O, Ne, S, and Ar in emission line nebulae have been investigated under conditions typical for planetary nebulae. The photoionization code CLOUDY was used to construct a series of model nebulae with properties spanning the range typical of PNe. Its radial "profiles" of bright, frequently observed optical emission lines were then summed over a variety of "apertures" to generate sets of emission line measurements. These resulting line ratios were processed using the i_CF method to "derive" nebular conditions and abundances. We find that for lines which are summed over the entire nebula the i_CF-derived abundances differ from the input abundances by less than 5% for He and O up to 25% or more for Ne, S, and Ar. For resolved observations, however, the discrepancies are often much larger and are systematically variable with radius. This effect is especially pronounced in low-ionization zones where nitrogen and oxygen are neutral or once-ionized such as in FLIERs, ansae and ionization fronts. We argue that the reports of stellar-enriched N in the FLIERs of several PNe are probably specious.

J. Alexander; B. Balick

1997-04-30T23:59:59.000Z

102

Metal recycling experience at Los Alamos National Laboratory. Reuse, release, and recycle of metals from radiological control areas``  

Science Conference Proceedings (OSTI)

Approximately 15% of the Low-Level Waste (LLW) produced at Los Alamos consists of scrap metal equipment and materials. The majority of this material is produced by decommissioning and the modification of existing facilities. To reduce this waste stream, Department of Energy Headquarters, EM-77 Office, sponsored the Reuse, Recycle, and Release of Metals from Radiological Control Areas High Return on Investment (ROI) Project to implement recycle, reuse, and release of scrap metal at the laboratory. The goal of this project was to develop cost effective alternatives to LLW disposal of scrap metal and to avoid the disposal of 2,400 m{sup 3} of scrap metal. The ROI for this project was estimated at 948%. The ROI project was funded in March 1996 and is scheduled for completion by October 1997. At completion, a total of 2,400 m{sup 3} of LLW avoidance will have been accomplished and a facility to continue recycling activities will be operational. This paper will present the approach used to develop effective alternatives for scrap metal at Los Alamos and then discuss the tasks identified in the approach in detail. Current scrap metal inventory, waste projections, alternatives to LLW disposal, regulatory guidance, and efforts to institutionalize the alternatives to LLW disposal will be discussed in detail.

Gogol, S.

1997-11-01T23:59:59.000Z

103

Browse Error - Energy Innovation Portal  

Share Browse Error - Energy Innovation Portal on Facebook; ... Contacts | Web Site Policies | U.S. Department of Energy | USA.gov Content Last ...

104

Sampling Errors in Rawinsonde-Array Budgets  

Science Conference Proceedings (OSTI)

Rawinsonde data used for sounding-array budget computations have random errors, both instrumental errors and errors of representativeness (here called sampling errors). The latter are associated with the fact that radiosondes do not measure large-...

Brian E. Mapes; Paul E. Ciesielski; Richard H. Johnson

2003-11-01T23:59:59.000Z

105

Architecture Design for Soft Errors  

Science Conference Proceedings (OSTI)

This book provides a comprehensive description of the architetural techniques to tackle the soft error problem. It covers the new methodologies for quantitative analysis of soft errors as well as novel, cost-effective architectural techniques to mitigate ... Keywords: Computer Architecture, Computer Engineering, Microprocessors

Shubu Mukherjee

2008-02-01T23:59:59.000Z

106

Inductively Coupled Plasma Mass Spectrometry Uranium Error Propagation  

SciTech Connect

The Hazards Control Department at Lawrence Livermore National Laboratory (LLNL) uses Inductively Coupled Plasma Mass Spectrometer (ICP/MS) technology to analyze uranium in urine. The ICP/MS used by the Hazards Control Department is a Perkin-Elmer Elan 6000 ICP/MS. The Department of Energy Laboratory Accreditation Program requires that the total error be assessed for bioassay measurements. A previous evaluation of the errors associated with the ICP/MS measurement of uranium demonstrated a {+-} 9.6% error in the range of 0.01 to 0.02 {micro}g/l. However, the propagation of total error for concentrations above and below this level have heretofore been undetermined. This document is an evaluation of the errors associated with the current LLNL ICP/MS method for a more expanded range of uranium concentrations.

Hickman, D P; Maclean, S; Shepley, D; Shaw, R K

2001-07-01T23:59:59.000Z

107

The Geometry of Model Error  

Science Conference Proceedings (OSTI)

This paper investigates the nature of model error in complex deterministic nonlinear systems such as weather forecasting models. Forecasting systems incorporate two components, a forecast model and a data assimilation method. The latter projects ...

Kevin Judd; Carolyn A. Reynolds; Thomas E. Rosmond; Leonard A. Smith

2008-06-01T23:59:59.000Z

108

Using doppler radar images to estimate aircraft navigational heading error  

SciTech Connect

A yaw angle error of a motion measurement system carried on an aircraft for navigation is estimated from Doppler radar images captured using the aircraft. At least two radar pulses aimed at respectively different physical locations in a targeted area are transmitted from a radar antenna carried on the aircraft. At least two Doppler radar images that respectively correspond to the at least two transmitted radar pulses are produced. These images are used to produce an estimate of the yaw angle error.

Doerry, Armin W. (Albuquerque, NM); Jordan, Jay D. (Albuquerque, NM); Kim, Theodore J. (Albuquerque, NM)

2012-07-03T23:59:59.000Z

109

PROPANE: An Environment for Examining the Propagation of Errors  

E-Print Network (OSTI)

In order to produce reliable software, it is important to have knowledge on how faults and errors may affect the software. In particular, designing efficient error detection mechanisms requires not only knowledge on which types of errors to detect but also the effect these errors may have on the software as well as how they propagate through the software. This paper presents the Propagation Analysis Environment (PROPANE) which is a tool for profiling and conducting fault injection experiments on software running on desktop computers. PROPANE supports the injection of both software faults (by mutation of source code) and data errors (by manipulating variable and memory contents). PROPANE supports various error types out-of-the-box and has support for user-defined error types. For logging, probes are provided for charting the values of variables and memory areas as well as for registering events during execution of the system under test. PROPANE has a flexible design making it useful for development of a wide range of software systems, e.g., embedded software, generic software components, or user-level desktop applications. We show examples of results obtained using PROPANE and how these can guide software developers to where software error detection and recovery could increase the reliability of the software system.

Martin Hiller; Arshad Jhumka; Neeraj Suri

2002-01-01T23:59:59.000Z

110

An Efficient Approach towards Mitigating Soft Errors Risks  

E-Print Network (OSTI)

Smaller feature size, higher clock frequency and lower power consumption are of core concerns of today's nano-technology, which has been resulted by continuous downscaling of CMOS technologies. The resultant 'device shrinking' reduces the soft error tolerance of the VLSI circuits, as very little energy is needed to change their states. Safety critical systems are very sensitive to soft errors. A bit flip due to soft error can change the value of critical variable and consequently the system control flow can completely be changed which leads to system failure. To minimize soft error risks, a novel methodology is proposed to detect and recover from soft errors considering only 'critical code blocks' and 'critical variables' rather than considering all variables and/or blocks in the whole program. The proposed method shortens space and time overhead in comparison to existing dominant approaches.

Sadi, Muhammad Sheikh; Uddin, Md Nazim; Jürjens, Jan

2011-01-01T23:59:59.000Z

111

Interim Control Strategy for the Test Area North/Technical Support Facility Sewage Treatment Facility Disposal Pond - Two-year Update  

SciTech Connect

The Idaho Cleanup Project has prepared this interim control strategy for the U.S. Department of Energy Idaho Operations Office pursuant to DOE Order 5400.5, Chapter 11.3e (1) to support continued discharges to the Test Area North/Technical Support Facility Sewage Treatment Facility Disposal Pond. In compliance with DOE Order 5400.5, a 2-year review of the Interim Control Strategy document has been completed. This submittal documents the required review of the April 2005 Interim Control Strategy. The Idaho Cleanup Project's recommendation is unchanged from the original recommendation. The Interim Control Strategy evaluates three alternatives: (1) re-route the discharge outlet to an uncontaminated area of the TSF-07; (2) construct a new discharge pond; or (3) no action based on justification for continued use. Evaluation of Alternatives 1 and 2 are based on the estimated cost and implementation timeframe weighed against either alternative's minimal increase in protection of workers, the public, and the environment. Evaluation of Alternative 3, continued use of the TSF-07 Disposal Pond under current effluent controls, is based on an analysis of four points: - Record of Decision controls will protect workers and the public - Risk of increased contamination is low - Discharge water will be eliminated in the foreseeable future - Risk of contamination spread is acceptable. The Idaho Cleanup Project recommends Alternative 3, no action other than continued implementation of existing controls and continued deactivation, decontamination, and dismantlement efforts at the Test Area North/Technical Support Facility.

L. V. Street

2007-04-01T23:59:59.000Z

112

An Examination of Background Error Correlations between Mass and Rotational Wind over Precipitation Regions  

Science Conference Proceedings (OSTI)

The differences in the balance characteristics between dry and precipitation areas in estimated short-term forecast error fields are investigated. The motivation is to see if dry and precipitation areas need to be treated differently in ...

Jean-François Caron; Luc Fillion

2010-02-01T23:59:59.000Z

113

Human Errors in Information Security  

E-Print Network (OSTI)

The purpose of the paper is to target audience and stakeholder individuals whom are in charge of securing the assets of their organisations and institutions. This paper starts by providing a brief overview of information security, outlining the main goals and techniques of the discipline. The paper also discusses the role of human factors and how the information security research community has recognised the increasingly crucial role of human behaviour in many security failures. This is followed by a literature review of human errors in information security. Finally, this paper discusses Reason's Generic Error Modelling System (GEMS) as a potential model for explaining human errors in information security [18]. The terms computer security, network security and information security are used interchangeably in this paper.

Munir Ahmed; Lukman Sharif; Muhammad Kabir; Maha Al-maimani

2012-01-01T23:59:59.000Z

114

Human Errors: Disadvantages and Advantages  

E-Print Network (OSTI)

The traditional paradigm for learning and training of operators in complex systems is discussed and criticised to react on the strong influence (the doctrine of 'mental logic') coming from research carried out in artificial intelligence (AI). The most well known arguments against the AI-approach are presented and discussed in relation to expertise, intuition and implicit knowledge. The importance of faults and errors are discussed in the context of a new metaphor for cognitive structures to describe expertise, and how knowledge about unsuccessful behavior influences the actual decision making process of experts. Keywords: human error, meta learning, mental model, experience, expertise 1. INTRODUCTION Why is this type of statements "I learned more from my defeats than from my victories" (Napoleon, ca. 1819) sometimes (or always) true? To answer this question we need a new understanding of human errors, inefficient behavior, and expertise. In this paper we will discuss the importance of...

Matthias Rauterberg; Daniel Felix

1996-01-01T23:59:59.000Z

115

Definition: Time Error | Open Energy Information  

Open Energy Info (EERE)

of Frequency Error over a given period.1 Related Terms Interconnection, sustainability, frequency error, smart grid References Glossary of Terms Used in Reliability...

116

Error-correcting codes and cryptography  

Science Conference Proceedings (OSTI)

Oct 20, 2006 ... topics where error-correcting codes overlap with cryptography. In some of these ..... human errors, e.g., misconfigurations or bugs. If biological ...

117

Optimal complexity correction of correlated errors in the surface code  

E-Print Network (OSTI)

The surface code is designed to suppress errors in quantum computing hardware and currently offers the most believable pathway to large-scale quantum computation. The surface code requires a 2-D array of nearest-neighbor coupled qubits that are capable of implementing a universal set of gates with error rates below approximately 1%, requirements compatible with experimental reality. Consequently, a number of authors are attempting to squeeze additional performance out of the surface code. We describe an optimal complexity error suppression algorithm, parallelizable to O(1) given constant computing resources per unit area, and provide evidence that this algorithm exploits correlations in the error models of each gate in an asymptotically optimal manner.

Austin G. Fowler

2013-10-02T23:59:59.000Z

118

Machine Translation Errors: English and Iraqi Arabic  

Science Conference Proceedings (OSTI)

Errors in machine translations of English-Iraqi Arabic dialogues were analyzed using the methods developed for the Human Translation Error Rate measure (HTER). Human annotations were used to refine the Translation Error Rate (TER) annotations. The analyses ... Keywords: Arabic, English, error analysis, evaluation, statistical machine translation

S. Condon; D. Parvaz; J. Aberdeen; C. Doran; A. Freeman; M. Awad

2011-03-01T23:59:59.000Z

119

Heading Error Removal System for Tracking Devices - Energy ...  

Systems are able to reduce or remove slowly-varying drift errors, such as heading errors, rate of rotation errors, and direction of travel errors, to correct the ...

120

Some aspects regarding human error assessment in resilient sociotechnical systems  

Science Conference Proceedings (OSTI)

The paper focuses on a human reliability analysis (HRA) that provides estimates of relative frequencies for human errors in particular critical tasks, highlighting the exposed areas of the system in which the improvements will be beneficial. The dynamic ... Keywords: human factor qualitative, quantitative analysis, risk, sociotechnical system

Gabriela Tont; Luige Vladareanu; Radu Adrian Munteanu; Dan George Tont

2009-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Addressing network-on-chip router transient errors with inherent information redundancy  

Science Conference Proceedings (OSTI)

We exploit the inherent information redundancy in the control path of Network-on-Chip (NoC) routers to manage transient errors, preventing packet loss and misrouting. Outputs of the routing arbitration units in NoC routers can be used to determine arbitration ... Keywords: Networks-on-chip, arbiter, error control coding, information redundancy, on-chip interconnect, router, transient error, triple-modular redundancy

Qiaoyan Yu, Meilin Zhang, Paul Ampadu

2013-06-01T23:59:59.000Z

122

Error Exponent Region for Gaussian  

E-Print Network (OSTI)

Introduction We introduce the notion of error exponent region (EER) for a multi-user channel. This region specifies the set of errorexponent vectors, which are simultaneously achievable by all users in the multi-user channel [1]. In this work, we derive an inner bound (achievable region) and an outer bound for the error exponent region of a Gaussian multiple access channel (GMAC). II. Formulation and Main Result An error exponent region for a multi-user channel depends on the channel operating (rate) point. For a two-user channel, we use the notation EER(R1 , R2 ) to denote the EER when the channel is operated at rate pair (R1 , R2 ). Consider a GMAC Y = X1 +X2 + Z, (1) where X1 and X2 are the channel inputs for user 1 and user 2 with E(X 1 ) = SNR1 , E(X 2 ) = SNR2 , and Z is white Gaussian noise with unit variance. Denote E(R,SNR) the maximum of random coding exponent and expurgated exponent of a single-user Gaussian channel. Our main result follow. Theorem 1: For a two-user GM

Multiple Access Channels; Lihua Weng; Achilleas Anastasopoulos; Eep Pradhan

2004-01-01T23:59:59.000Z

123

Session Cookie Error, Brookhaven National Laboratory (BNL)  

NLE Websites -- All DOE Office Websites (Extended Search)

Session Cookie Error Session Cookie Error We're Sorry, either you don't have Session Cookies enabled in your browser or your session has expired. Some functions in this site will not work properly without it enabled. Please enable session cookies, then go back and try again or close and re-open your browser to view these web pages correctly. What is a Cookie? What are Cookies used for? What are Persistent Cookies? What are Session Cookies? How can I control or enable which Cookies I want to accept? Need help? What is a Cookie? A "cookie" is a small piece of information that is sent by a web server to be stored on a web browser, so that it can later be read back from that browser the next time this unique visitor returns to that web server. This becomes useful for having the browser remember specific information about this visitor like location of their last visit, time spent, or user preferences (like style sheets). The cookie is a text file that is saved in the browser's directory and is stored in RAM while the browser is running. Also, the cookie may be stored on the computer's hard drive once you log off from that web site or web server.

124

Incorporating Misclassification Error in Skill Assessment  

Science Conference Proceedings (OSTI)

It is desirable to account for misclassification error of meteorological observations so that the true skill of the forecast can be assessed. Errors in observations can occur, among other places, in pilot reports of icing and in tornado spotting. ...

William Briggs; Matt Pocernich; David Ruppert

2005-11-01T23:59:59.000Z

125

Systematic Tendency Error in Budget Calculations  

Science Conference Proceedings (OSTI)

Atmospheric budget calculations suffer from various observational and numerical errors. This paper demonstrates that all budget calculations applied to a large number of samples suffer from additional errors originating from systematic tendency ...

Masao Kanamitsu; Suranjana Saha

1996-06-01T23:59:59.000Z

126

Review of Radiosonde Humidity and Temperature Errors  

Science Conference Proceedings (OSTI)

An attempt is made to provide a brief but comprehensive summary of sources of error in National Weather Service upper air data, and a guide to the relevant literature. Error analysis must be tailored for particular applications. Temperature ...

Robert W. Pratt

1985-09-01T23:59:59.000Z

127

Sources of Error in Objective Analysis  

Science Conference Proceedings (OSTI)

The errors in objective analysis methods that are based on corrections to first-guess fields are considered. An expression that gives a decomposition of an error into three independent components is derived. To test the magnitudes of the ...

Richard Franke

1985-02-01T23:59:59.000Z

128

NSTB Summarizes Vulnerable Areas  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

NSTB Summarizes Vulnerable Areas NSTB Summarizes Vulnerable Areas Commonly Found in Energy Control Systems Experts at the National SCADA Test Bed (NSTB) discovered some common areas of vulnerability in the energy control systems assessed between late 2004 and early 2006. These vulnerabilities ranged from conventional IT security issues to specific weaknesses in control system protocols. The paper "Lessons Learned from Cyber Security Assessments of SCADA and Energy Management Systems" describes the vulnerabilities and recommended strategies for mitigating them. It should be of use to asset owners and operators, control system vendors, system integrators, and third-party vendors interested in enhancing the security characteristics of current and future products.

129

Method and Case Study for Estimating the Ramping Capability of a Control Area or Balancing Authority and Implications for Moderate or High Wind Penetration: Preprint  

Science Conference Proceedings (OSTI)

In several regions of the United States there has been a significant increase in wind generation capability over the past several years. As the penetration rate of wind capacity increases, grid operators and planners are increasingly concerned about accommodating the increased variability that wind contributes to the system. In this paper we examine the distinction between regulation, load following, hourly energy, and energy imbalance to understand how restructured power systems accommodate and value inter-hour ramps. We use data from two restructured markets, California and PJM, and from Western Area Power Administration's (WAPA's) Rocky Mountain control area to determine expected load-following capability in each region. Our approach is to examine the load-following capability that currently exists using data from existing generators in the region. We then examine the levels of wind penetration that can be accommodated with this capability using recently collected wind farm data. We discuss how load-following costs are captured in restructured markets, what resources are available to meet these requirements, why there are no explicit load-following tariffs, and the societal importance of being able to access generator ramping capability. Finally, the implications for wind plants and wind integration costs are examined.

Kirby, B.; Milligan, M.

2005-05-01T23:59:59.000Z

130

Errors in graph embedding algorithms  

Science Conference Proceedings (OSTI)

One major area of difficulty in developing an algorithm for embedding a graph on a surface is handling bridges which have more than one possible placement. This paper addresses a number of published algorithms where this has not been handled correctly. ... Keywords: Algorithm, Graph embedding, Graph genus, Torus

Wendy Myrvold; William Kocay

2011-03-01T23:59:59.000Z

131

A parametric study of the impact of various error contributions on the flux distribution of a solar dish concentrator.  

SciTech Connect

Dish concentrators can produce highly concentrated flux for the operation of an engine, a chemical process, or other energy converter. The high concentration allows a small aperture to control thermal losses, and permits high temperature processes at the focal point. A variety of optical errors can influence the flux pattern both at the aperture and at the absorber surface. Impacts of these errors can be lost energy (intercept losses), aperture compromise (increased size to accommodate flux), high peak fluxes (leading to part failure or life reduction), and improperly positioned flux also leading to component failure. Optical errors can include small scale facet errors ('waviness'), facet shape errors, alignment (facet pointing) errors, structural deflections, and tracking errors. The errors may be random in nature, or may be systematic. The various sources of errors are often combined in a 'root-mean-squared' process to present a single number as an 'error budget'. However, this approach ignores the fact that various errors can influence the performance in different ways, and can mislead the designer, leading to component damage in a system or poor system performance. In this paper, we model a hypothetical radial gore dish system using Sandia's CIRCE2 optical code. We evaluate the peak flux and incident power through the aperture and onto various parts of the receiver cavity. We explore the impact of different error sources on the character of the flux pattern, and demonstrate the limitations of lumping all of the errors into a single error budget.

Yellowhair, Julius; Iverson, Brian D.; Andraka, Charles E.

2010-04-01T23:59:59.000Z

132

[an error occurred while processing this directive  

Science Conference Proceedings (OSTI)

[an error occurred while processing this directive] ... Thus, many systems administrators do not regularly update non ... works well but it does not protect ...

133

[an error occurred while processing this directive  

Science Conference Proceedings (OSTI)

[an error occurred while processing this directive] These are ... of commercial products within NIST web pages is for information only; it does not imply ...

134

Lossless Data Compression with Error Detection using Cantor Set  

E-Print Network (OSTI)

In 2009, a lossless compression algorithm based on 1D chaotic maps known as Generalized Lur\\"{o}th Series (or GLS) has been proposed. This algorithm (GLS-coding) encodes the input message as a symbolic sequence on an appropriate 1D chaotic map (GLS) and the compressed file is obtained as the initial value by iterating backwards on the map. For ergodic sources, it was shown that GLS-coding achieves the best possible lossless compression (in the noiseless setting) bounded by Shannon entropy. However, in the presence of noise, even small errors in the compressed file leads to catastrophic decoding errors owing to sensitive dependence on initial values. In this paper, we first show that Repetition codes $\\mathcal{R}_n$ (every symbol is repeated $n$ times, where $n$ is a positive odd integer), the oldest and the most basic error correction and detection codes in literature, actually lie on a Cantor set with a fractal dimension of $\\frac{1}{n}$, which is also the rate of the code. Inspired by this, we incorporate error detection capability to GLS-coding by ensuring that the compressed file (initial value on the map) lies on a Cantor set of measure zero. Even a 1-bit error in the initial value will throw it outside the Cantor set which can be detected while decoding. The error detection performance (and also the rate of the code) can be controlled by the fractal dimension of the Cantor set and could be suitably adjusted depending on the noise level of the communication channel.

Nithin Nagaraj

2013-08-10T23:59:59.000Z

135

Error suppression and error correction in adiabatic quantum computation I: techniques and challenges  

E-Print Network (OSTI)

Adiabatic quantum computation (AQC) is known to possess some intrinsic robustness, though it is likely that some form of error correction will be necessary for large scale computations. Error handling routines developed for circuit-model quantum computation do not transfer easily to the AQC model since these routines typically require high-quality quantum gates, a resource not generally allowed in AQC. There are two main techniques known to suppress errors during an AQC implementation: energy gap protection and dynamical decoupling. Here we show that both these methods are intimately related and can be analyzed within the same formalism. We analyze the effectiveness of such error suppression techniques and identify critical constraints on the performance of error suppression in AQC, suggesting that error suppression by itself is insufficient for large-scale, fault-tolerant AQC and that a form of error correction is needed. We discuss progress towards implementing error correction in AQC and enumerate several key outstanding problems. This work is a companion paper to "Error suppression and error correction in adiabatic quantum computation II: non-equilibrium dynamics"', which provides a dynamical model perspective on the techniques and limitations of error suppression and error correction in AQC. In this paper we discuss the same results within a quantum information framework, permitting an intuitive discussion of error suppression and correction in encoded AQC.

Kevin C. Young; Mohan Sarovar; Robin Blume-Kohout

2013-07-22T23:59:59.000Z

136

Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)  

DOE Green Energy (OSTI)

This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

Hodge, B. M.; Milligan, M.

2011-07-01T23:59:59.000Z

137

Fate and transport processes controlling the migration of hazardous and radioactive materials from the Area 5 Radioactive Waste Management Site (RWMS)  

SciTech Connect

Desert vadose zones have been considered as suitable environments for the safe and long-term isolation of hazardous wastes. Low precipitation, high evapotranspiration and thick unsaturated alluvial deposits commonly found in deserts make them attractive as waste disposal sites. The fate and transport of any contaminant in the subsurface is ultimately determined by the operating retention and transformation processes in the system and the end result of the interactions among them. Retention (sorption) and transformation are the two major processes that affect the amount of a contaminant present and available for transport. Retention processes do not affect the total amount of a contaminant in the soil system, but rather decrease or eliminate the amount available for transport at a given point in time. Sorption reactions retard the contaminant migration. Permanent binding of solute by the sorbent is also possible. These processes and their interactions are controlled by the nature of the hazardous waste, the properties of the porous media and the geochemical and environmental conditions (temperature, moisture and vegetation). The present study summarizes the available data and investigates the fate and transport processes that govern the migration of contaminants from the Radioactive Waste Management Site (RWMS) in Area 5 of the Nevada Test Site (NTS). While the site is currently used only for low-level radioactive waste disposal, past practices have included burial of material now considered hazardous. Fundamentals of chemical and biological transformation processes are discussed subsequently, followed by a discussion of relevant results.

Estrella, R.

1994-10-01T23:59:59.000Z

138

Density estimation for data with rounding errors  

Science Conference Proceedings (OSTI)

Rounding of data is common in practice. The problem of estimating the underlying density function based on data with rounding errors is addressed. A parametric maximum likelihood estimator and a nonparametric bootstrap kernel density estimator are proposed. ... Keywords: Bootstrapping, Deconvolution density estimation, Fast Fourier transformation, Kernel density estimation, Measurement error

B. Wang, W. Wertelecki

2013-09-01T23:59:59.000Z

139

Automatic detection of dimension errors in spreadsheets  

Science Conference Proceedings (OSTI)

We present a reasoning system for inferring dimension information in spreadsheets. This system can be used to check the consistency of spreadsheet formulas and thus is able to detect errors in spreadsheets. Our approach is based on three static analysis ... Keywords: Dimension, Error detection, Inference rule, Spreadsheet, Static analysis, Unit of measurement

Chris Chambers; Martin Erwig

2009-08-01T23:59:59.000Z

140

QuarkNet Workshop: Beyond Human Error  

NLE Websites -- All DOE Office Websites (Extended Search)

Human Error Human Error QuarkNet Workshop for High School Science Teachers 8:30 am to 4:00 pm, August 1 -3, 2012 at Fermi National Accelerator Laboratory This was a three-day workshop for high school science teachers. Measurement and error are key ingredients for all science applications. Both align with the Next Generation Science Standards, but many high school students struggle to understand the importance of error analysis and prevention. Over the three days we examined multiple experiments going on at Fermilab and discussed the ways that scientists take measurements and reduce error on these projects. Participants met and worked with scientists from Fermilab and University of Chicago to look at how error analysis takes place at Fermilab and bridged those ideas into high school classes. Teachers discussed lesson plans available at Fermilab and their own methods of teaching error analysis. Additionally, participants heard from high school students who participated in summer research as they presented their findings and linked students' learning back to the teachers' understanding of error recognition and analysis.

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Word error rates: Decomposition over POS classes and applications for error analysis  

E-Print Network (OSTI)

Evaluation and error analysis of machine translation output are important but difficult tasks. In this work, we propose a novel method for obtaining more details about actual translation errors in the generated output by introducing the decomposition of Word Error Rate (WER) and Position independent word Error Rate (PER) over different Partof-Speech (POS) classes. Furthermore, we investigate two possible aspects of the use of these decompositions for automatic error analysis: estimation of inflectional errors and distribution of missing words over POS classes. The obtained results are shown to correspond to the results of a human error analysis. The results obtained on the European Parliament Plenary Session corpus in Spanish and English give a better overview of the nature of translation errors as well as ideas of where to put efforts for possible improvements of the translation system. 1

Maja Popovi?; Hermann Ney

2007-01-01T23:59:59.000Z

142

Resilience of Hybrid Ensemble/3DVAR Analysis Schemes to Model Error and Ensemble Covariance Error  

Science Conference Proceedings (OSTI)

Previous idealized numerical experiments have shown that a straightforward augmentation of an isotropic error correlation matrix with an ensemble-based error correlation matrix yields an improved data assimilation scheme under certain conditions. ...

Brian J. Etherton; Craig H. Bishop

2004-05-01T23:59:59.000Z

143

Dynamics of Prediction Errors under the Combined Effect of Initial Condition and Model Errors  

Science Conference Proceedings (OSTI)

The transient evolution of prediction errors in the short to intermediate time regime is considered under the combined effect of initial condition and model errors. Some generic features are brought out and connected with intrinsic properties. ...

C. Nicolis; Rui A. P. Perdigao; S. Vannitsem

2009-03-01T23:59:59.000Z

144

Can Wavelets Improve the Representation of Forecast Error Covariances in Variational Data Assimilation?  

Science Conference Proceedings (OSTI)

Two wavelet-based control variable transform schemes are described and are used to model some important features of forecast error statistics for use in variational data assimilation. The first is a conventional wavelet scheme and the other is an ...

Ross N. Bannister

2007-02-01T23:59:59.000Z

145

Hopper Trouble Shooting and Error Messages  

NLE Websites -- All DOE Office Websites (Extended Search)

Trouble Shooting and Error Messages Trouble Shooting and Error Messages Trouble Shooting and Error Messages Error Messages Message or Symptom Fault Recommendation job hit wallclock time limit user or system Submit job for longer time or start job from last checkpoint and resubmit. If your job hung and produced no output contact consultants. received node failed or halted event for nid xxxx system One of the compute nodes assigned to the job failed. Resubmit the job PtlNIInit failed : PTL_NOT_REGISTERED user The executable is from an XT system (Franklin or Jaguar?) using portals. Recompile on Hopper and resubmit. error while loading shared libraries: libxxxx.so: cannot open shared object file: No such file or directory mostly user, sometimes system Make sure environment variable CRAY_ROOTFS is set to DSL, also the modules loaded when building the dynamic executable is also loaded at run time. Report to consultants if still not resolved.

146

Error analysis in wind turbine field testing  

DOE Green Energy (OSTI)

In wind turbine field testing, one of the most important issues is understanding and accounting for data errors. Extended dynamic testing of wind turbines requires a thorough uncertainty analysis and a regimen of quality assurance steps in order to preserve accuracy. Test objectives need to be identified to determine the accuracy requirements of any data measurement, collection, and analysis process. Frequently, the uncertainty analysis reveals that the major sources of error can be allowed for with careful calibration and signal drift tracking procedures. This paper offers a basis for the discussion and development of a repeatable and accurate process to track errors and account for them in data processing.

McNiff, B [McNiff Light Industries, Carlisle, MA (United States); Simms, D [National Renewable Energy Lab., Golden, CO (United States)

1994-08-01T23:59:59.000Z

147

Harmonic Analysis Errors in Calculating Dipole,  

NLE Websites -- All DOE Office Websites (Extended Search)

Harmonic Analysis Errors in Calculating Dipole, Harmonic Analysis Errors in Calculating Dipole, Quadrupole, and Sextupole Magnets using POISSON Ro be rt J. La ri<::::R~ i. September 10, 1985 Introduction LS-32 The computer program POISSON was used to calculate the dipole, quadru- pole, and sextupole magnets of the 6 GeV electron storage ring. A trinagular mesh must first be generated by LATTICE. The triangle size is varied over the "universe" at the discretion of the user. This note describes a series of test calculations that were made to help the user decide on the size of the mesh to reduce the harmonic field calculation errors. A conformal transfor- mation of a multipole magnet into a dipole reduces these errors. Dipole Magnet Calculations A triangular mesh used to calculate a "perfect" dipole magnet is shown in

148

Effectiveness of various error metrics in SCEPTRE.  

Science Conference Proceedings (OSTI)

The objective of this project is to investigate accuracy of error metrics in SCEPTRE and produce useful benchmarks, identify metrics that do not work well, identify metrics that do work well, and produce easy to reference results.

Olson, Aaron

2010-08-01T23:59:59.000Z

149

Spatial Error Metrics for Oceanographic Model Verification  

Science Conference Proceedings (OSTI)

A common problem with modern numerical oceanographic models is spatial displacement, including misplacement and misshapenness of ocean circulation features. Traditional error metrics, such as least squares methods, are ineffective in many such ...

Sean B. Ziegeler; James D. Dykes; Jay F. Shriver

2012-02-01T23:59:59.000Z

150

Data Assimilation via Error Subspace Statistical Estimation.  

Science Conference Proceedings (OSTI)

Identical twin experiments are utilized to assess and exemplify the capabilities of error subspace statistical estimation (ESSE). The experiments consists of nonlinear, primitive equation–based, idealized Middle Atlantic Bight shelfbreak front ...

P. F. J. Lermusiaux

1999-07-01T23:59:59.000Z

151

Flux Sampling Errors for Aircraft and Towers  

Science Conference Proceedings (OSTI)

Various errors and influences leading to differences between tower- and aircraft-measured fluxes are surveyed. This survey is motivated by reports in the literature that aircraft fluxes are sometimes smaller than tower-measured fluxes. Both tower ...

L. Mahrt

1998-04-01T23:59:59.000Z

152

Error bounds: necessary and sufficient conditions  

E-Print Network (OSTI)

from the primal as well as from the dual space are used to characterize the error bound property .... known as conditioning rate [45]): Er f(¯x) := lim inf x??x.

153

Errors and paradoxes in quantum mechanics  

E-Print Network (OSTI)

Errors and paradoxes in quantum mechanics, entry in the Compendium of Quantum Physics: Concepts, Experiments, History and Philosophy, ed. F. Weinert, K. Hentschel, D. Greenberger and B. Falkenburg (Springer), to appear

D. Rohrlich

2007-08-28T23:59:59.000Z

154

Panels with Nonstationary Multifactor Error Structures  

E-Print Network (OSTI)

panel regressions with multifactor error structure. This paper extends this work and examines the important case where the unobserved common factors follow unit root processes and could be cointegrated. It is found that the presence of unit roots does...

Kapetanios, George; Pesaran, M Hashem; Yamagata, Takashi

155

Estimation of Errors in Seasonal Cycles  

Science Conference Proceedings (OSTI)

A formula is first given for the error in a 2-harmonic seasonal curve of best fit through a set of N oceanographic data points, assuming the departures from the true mean are independent random numbers.

J. S. Godfrey; K. R. Ridgway

1985-08-01T23:59:59.000Z

156

Minimizing Errors Associated with Multiplate Radiation Shields  

Science Conference Proceedings (OSTI)

Multiplate radiation shield errors are examined using the following techniques: 1) ray tracing analysis, 2) wind tunnel experiments, 3) numerical flow simulations, and 4) field testing. The authors’ objectives are to develop guidelines for ...

Scott J. Richardson; Fred V. Brock; Steven R. Semmer; Cathy Jirak

1999-11-01T23:59:59.000Z

157

Short-Term Dynamics of Model Errors  

Science Conference Proceedings (OSTI)

The natural instability of the atmosphere is at the origin of the rapid amplification of errors coming from the uncertainty on the initial conditions and from the imperfect representation (the model) of the atmospheric dynamics. In this paper, ...

S. Vannitsem; Z. Toth

2002-09-01T23:59:59.000Z

158

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Conference Proceedings (OSTI)

This paper reports on the development of a diagnostic approach that can be used to examine the sources of numerical model forecast error that contribute to degraded tropical cyclone (TC) motion forecasts. Tropical cyclone motion forecasts depend ...

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

159

Error driven paraphrase annotation using Mechanical Turk  

Science Conference Proceedings (OSTI)

The source text provided to a machine translation system is typically only one of many ways the input sentence could have been expressed, and alternative forms of expression can often produce a better translation. We introduce here error driven paraphrasing ...

Olivia Buzek; Philip Resnik; Benjamin B. Bederson

2010-06-01T23:59:59.000Z

160

Quantum error-correcting codes and devices  

DOE Patents (OSTI)

A method of forming quantum error-correcting codes by first forming a stabilizer for a Hilbert space. A quantum information processing device can be formed to implement such quantum codes.

Gottesman, Daniel (Los Alamos, NM)

2000-10-03T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Minimizing Binding Errors Using Learned Conjunctive Features  

Science Conference Proceedings (OSTI)

We have studied some of the design trade-offs governing visual representations based on spatially invariant conjunctive feature detectors, with an emphasis on the susceptibility of such systems to false-positive recognition errors—Malsburg's classical ...

Bartlett W. Mel; József W. Fiser

2000-02-01T23:59:59.000Z

162

Minimizing Binding Errors Using Learned Conjunctive Features  

Science Conference Proceedings (OSTI)

We have studied some of the design trade-offs governing visual representations based on spatially invariant conjunctive feature detectors, with an emphasis on the susceptibility of such systems to false-positive recognition errors—Malsburg’s ...

Bartlett W. Mel; Jósef W. Fiser

2000-04-01T23:59:59.000Z

163

Assessing the Ensemble Spread-Error Relationship  

Science Conference Proceedings (OSTI)

The potential ability of an ensemble prediction system (EPS) to represent its own varying forecast error provides strong motivation to produce an EPS over a less expensive deterministic forecast. Traditionally this ability has been assessed by ...

T. M. Hopson

164

Organizational Errors: Directions for Future Research  

E-Print Network (OSTI)

The goal of this chapter is to promote research about organizational errors—i.e., the actions of multiple organizational participants that deviate from organizationally specified rules and can potentially result in adverse ...

Carroll, John Stephen

165

Research Areas  

NLE Websites -- All DOE Office Websites (Extended Search)

Areas Areas Research Areas Print Scientists from a wide variety of fields come to the ALS to perform experiements. Listed below are some of the most common research areas covered by ALS beamlines. Below each heading are a few examples of the specific types of topics included in that category. Click on a heading to learn more about that research area at the ALS. Energy Science Photovoltaics, photosynthesis, biofuels, energy storage, combustion, catalysis, carbon capture/sequestration. Bioscience General biology, structural biology. Materials/Condensed Matter Correlated materials, nanomaterials, magnetism, polymers, semiconductors, water, advanced materials. Physics Atomic, molecular, and optical (AMO) physics; accelerator physics. Chemistry Surfaces/interfaces, catalysts, chemical dynamics (gas-phase chemistry), crystallography, physical chemistry.

166

The control of size and areal density of InAs self-assembled quantum dots in selective area molecular beam epitaxy on GaAs (001) surface  

Science Conference Proceedings (OSTI)

The growth of InAs quantum dots (QDs) on GaAs (001) substrates by selective area molecular beam epitaxy (SA-MBE) with dielectric mask is investigated. The GaAs polycrystals on the mask, which is formed during growth due to low GaAs selectivity between ... Keywords: InAs quantum dots, Molecular beam epitaxy, Selective area epitaxy

J. C. Lin; P. W. Fry; R. A. Hogg; M. Hopkinson; I. M. Ross; A. G. Cullis; R. S. Kolodka; A. I. Tartakovskii; M. S. Skolnick

2006-12-01T23:59:59.000Z

167

Error matrix in quantum process tomography  

E-Print Network (OSTI)

We discuss characterization of experimental quantum gates by the error matrix, which is similar to the standard process matrix $\\chi$ in the Pauli basis, except the desired unitary operation is factored out, by formally placing it either before or after the error process. The error matrix has only one large element, which is equal to the process fidelity, while other elements are small and indicate imperfections. The imaginary parts of the elements along the left column and/or top row directly indicate the unitary imperfection and can be used to find the needed correction. We discuss a relatively simple way to calculate the error matrix for a composition of quantum gates. Similarly, it is rather straightforward to find the first-order contribution to the error matrix due to the Lindblad-form decoherence. We also discuss a way to identify and subtract the tomography procedure errors due to imperfect state preparation and measurement. In appendices we consider several simple examples of the process tomography and also discuss an intuitive physical interpretation of the Lindblad-form decoherence.

Alexander N. Korotkov

2013-09-25T23:59:59.000Z

168

Application of Lateral Boundary Condition Perturbations to Help Restore Dispersion in Limited-Area Ensemble Forecasts  

Science Conference Proceedings (OSTI)

In a companion paper, the authors showed that lateral boundary condition (LBC) constraints on small-scale error variance growth are sufficient to limit dispersion in limited-area-model (LAM) ensemble simulations. The error growth constraints ...

Paul Nutter; Ming Xue; David Stensrud

2004-10-01T23:59:59.000Z

169

Introducing ROC curves as error measure functions: a new approach to train ANN-based biomedical data classifiers  

Science Conference Proceedings (OSTI)

This paper explores the usage of the area (Az) under the Receiver Operating Characteristic (ROC) curve as error measure to guide the training process to build machine learning ANN-based classifiers for biomedical data analysis. Error measures (like root ... Keywords: ROC curves, artificial neural networks, biomedical data, machine learning classifiers

Raúl Ramos-Pollán; Miguel Ángel Guevara-López; Eugénio Oliveira

2010-11-01T23:59:59.000Z

170

Material Disposal Areas  

NLE Websites -- All DOE Office Websites (Extended Search)

Material Disposal Areas Material Disposal Areas Material Disposal Areas Material Disposal Areas, also known as MDAs, are sites where material was disposed of below the ground surface in excavated pits, trenches, or shafts. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email Material Disposal Areas at LANL The following are descriptions and status updates of each MDA at LANL. To view a current fact sheet on the MDAs, click on LA-UR-13-25837 (pdf). MDA A MDA A is a Hazard Category 2 nuclear facility comprised of a 1.25-acre, fenced, and radiologically controlled area situated on the eastern end of Delta Prime Mesa. Delta Prime Mesa is bounded by Delta Prime Canyon to the north and Los Alamos Canyon to the south.

171

How to keep your head above water while detecting errors  

Science Conference Proceedings (OSTI)

Today's distributed systems need runtime error detection to catch errors arising from software bugs, hardware errors, or unexpected operating conditions. A prominent class of error detection techniques operates in a stateful manner, i.e., it keeps track ... Keywords: J2EE multi-tier systems, hidden markov model, high throughput distributed applications, intelligent sampling, stateful error detection

Ignacio Laguna; Fahad A. Arshad; David M. Grothe; Saurabh Bagchi

2009-11-01T23:59:59.000Z

172

Research Areas  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Areas Print Research Areas Print Scientists from a wide variety of fields come to the ALS to perform experiements. Listed below are some of the most common research areas covered by ALS beamlines. Below each heading are a few examples of the specific types of topics included in that category. Click on a heading to learn more about that research area at the ALS. Energy Science Photovoltaics, photosynthesis, biofuels, energy storage, combustion, catalysis, carbon capture/sequestration. Bioscience General biology, structural biology. Materials/Condensed Matter Correlated materials, nanomaterials, magnetism, polymers, semiconductors, water, advanced materials. Physics Atomic, molecular, and optical (AMO) physics; accelerator physics. Chemistry Surfaces/interfaces, catalysts, chemical dynamics (gas-phase chemistry), crystallography, physical chemistry.

173

Aperiodic dynamical decoupling sequences in the presence of pulse errors  

SciTech Connect

Dynamical decoupling (DD) is a promising tool for preserving the quantum states of qubits. However, small imperfections in the control pulses can seriously affect the fidelity of decoupling, and qualitatively change the evolution of the controlled system at long times. Using both analytical and numerical tools, we theoretically investigate the effect of the pulse error accumulation for two aperiodic DD sequences, Uhrig's DD (UDD) protocol (Uhrig 2007 Phys. Rev. Lett. 98 100504), and the quadratic DD (QDD) protocol (West et al 2010 Phys. Rev. Lett. 104 130501). We consider the implementation of these sequences using the electron spins of phosphorus donors in silicon, where DD sequences are applied to suppress dephasing of the donor spins. The dependence of the decoupling fidelity on different initial states of the spins is the focus of our study. We investigate in detail the initial drop in the DD fidelity, and its long-term saturation. We also demonstrate that by applying the control pulses along different directions, the performance of QDD protocols can be noticeably improved, and explain the reason for such an improvement. Our results can be useful for future implementations of the aperiodic decoupling protocols, and for better understanding of the impact of errors on quantum control of spins.

Wang, Zhi-Hui; Dobrovitski, V. V.

2011-01-12T23:59:59.000Z

174

The Human Bathtub: Safety and Risk Predictions Including the Dynamic Probability of Operator Errors  

SciTech Connect

Reactor safety and risk are dominated by the potential and major contribution for human error in the design, operation, control, management, regulation and maintenance of the plant, and hence to all accidents. Given the possibility of accidents and errors, now we need to determine the outcome (error) probability, or the chance of failure. Conventionally, reliability engineering is associated with the failure rate of components, or systems, or mechanisms, not of human beings in and interacting with a technological system. The probability of failure requires a prior knowledge of the total number of outcomes, which for any predictive purposes we do not know or have. Analysis of failure rates due to human error and the rate of learning allow a new determination of the dynamic human error rate in technological systems, consistent with and derived from the available world data. The basis for the analysis is the 'learning hypothesis' that humans learn from experience, and consequently the accumulated experience defines the failure rate. A new 'best' equation has been derived for the human error, outcome or failure rate, which allows for calculation and prediction of the probability of human error. We also provide comparisons to the empirical Weibull parameter fitting used in and by conventional reliability engineering and probabilistic safety analysis methods. These new analyses show that arbitrary Weibull fitting parameters and typical empirical hazard function techniques cannot be used to predict the dynamics of human errors and outcomes in the presence of learning. Comparisons of these new insights show agreement with human error data from the world's commercial airlines, the two shuttle failures, and from nuclear plant operator actions and transient control behavior observed in transients in both plants and simulators. The results demonstrate that the human error probability (HEP) is dynamic, and that it may be predicted using the learning hypothesis and the minimum failure rate, and can be utilized for probabilistic risk analysis purposes. (authors)

Duffey, Romney B. [Atomic Energy of Canada, Ltd., 2251 Speakman Drive, Mississauga, ON, L5K 1B2 (Canada); Saull, John W. [International Federation of Airwothiness, 14 Railway Approach, East Grinstead, West Sussex, RH19 1BP (United Kingdom)

2006-07-01T23:59:59.000Z

175

MAXIMUM LIKELIHOOD ANALYSIS OF SYSTEMATIC ERRORS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND  

SciTech Connect

We investigate the impact of instrumental systematic errors in interferometric measurements of the cosmic microwave background (CMB) temperature and polarization power spectra. We simulate interferometric CMB observations to generate mock visibilities and estimate power spectra using the statistically optimal maximum likelihood technique. We define a quadratic error measure to determine allowable levels of systematic error that does not induce power spectrum errors beyond a given tolerance. As an example, in this study we focus on differential pointing errors. The effects of other systematics can be simulated by this pipeline in a straightforward manner. We find that, in order to accurately recover the underlying B-modes for r = 0.01 at 28 < l < 384, Gaussian-distributed pointing errors must be controlled to 0. Degree-Sign 7 root mean square for an interferometer with an antenna configuration similar to QUBIC, in agreement with analytical estimates. Only the statistical uncertainty for 28 < l < 88 would be changed at {approx}10% level. With the same instrumental configuration, we find that the pointing errors would slightly bias the 2{sigma} upper limit of the tensor-to-scalar ratio r by {approx}10%. We also show that the impact of pointing errors on the TB and EB measurements is negligibly small.

Zhang Le; Timbie, Peter [Department of Physics, University of Wisconsin, Madison, WI 53706 (United States); Karakci, Ata; Korotkov, Andrei; Tucker, Gregory S. [Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912 (United States); Sutter, Paul M.; Wandelt, Benjamin D. [Department of Physics, 1110 W Green Street, University of Illinois at Urbana-Champaign, Urbana, IL 61801 (United States); Bunn, Emory F., E-mail: lzhang263@wisc.edu [Physics Department, University of Richmond, Richmond, VA 23173 (United States)

2013-06-01T23:59:59.000Z

176

A systems approach to reducing utility billing errors  

E-Print Network (OSTI)

Many methods for analyzing the possibility of errors are practiced by organizations who are concerned about safety and error prevention. However, in situations where the error occurrence is random and difficult to track, ...

Ogura, Nori

2013-01-01T23:59:59.000Z

177

A Nonlinear Generalized Additive Error Model of Production and Cost  

E-Print Network (OSTI)

Additive Error Model of Production and Cost by Quirino ParisError Model of Production and Cost Quirino Paris* UniversityAdditive Error Model of Production and Cost I. Introduction

Paris, Quirino; Caputo, Michael R.

2004-01-01T23:59:59.000Z

178

Evolutionary Algorithm-Based Error Parameterization Methods for Data Assimilation  

Science Conference Proceedings (OSTI)

The methods of parameterizing model errors have a substantial effect on the accuracy of ensemble data assimilation. After a review of the current error-handling methods, a new blending error parameterization method was designed to combine the ...

Yulong Bai; Xin Li

2011-08-01T23:59:59.000Z

179

Explicitly Accounting for Observation Error in Categorical Verification of Forecasts  

Science Conference Proceedings (OSTI)

Given an accurate representation of errors in observations it is possible to remove the effect of those errors from categorical verification scores. The errors in the observations are treated as additive white noise that is statistically ...

Neill E. Bowler

2006-06-01T23:59:59.000Z

180

Definition: Automatic Generation Control | Open Energy Information  

Open Energy Info (EERE)

Automatic Generation Control Automatic Generation Control Jump to: navigation, search Dictionary.png Automatic Generation Control Equipment that automatically adjusts generation in a Balancing Authority Area from a central location to maintain the Balancing Authority's interchange schedule plus Frequency Bias. AGC may also accommodate automatic inadvertent payback and time error correction.[1] View on Wikipedia Wikipedia Definition Related Terms system, power, electricity generation, load, frequency bias, balancing authority, balancing authority area, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inline LikeLike UnlikeLike You like this.Sign Up to see what your friends like. Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Automatic_Generation_Control&oldid=502513"

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

A self-checking fiber optic dosimeter for monitoring common errors in brachytherapy applications  

SciTech Connect

Scintillation dosimetry with optical fiber readout [fiber optic dosimetry (FOD)] requires accurate measurement of light intensity. It is therefore vulnerable to loss of calibration if any changes occur in the efficiency of the optical pathway between the scintillator and the light detector. The authors show in this article that common types of errors that arise during clinical use for brachytherapy applications can be quantified using a light emitting diode to stimulate the scintillator, the so-called LED-FOD method, in an integrated and easy-to-use control unit that incorporates a compact peripheral component interconnect extension for instrumentation. Common sources of error include bending and mechanical compression of the fiber optic components and changes in the temperature of the scintillator. The authors show that the method can detect all the common errors studied in this work and that different types of errors can result in different correlations between the LED stimulated signal and the brachytherapy source signal. For a single-type error the LED-FOD can be used easily for system diagnosis and validation with the possibility to correct the dosimeter reading if the correlation between the LED stimulated signal and the brachytherapy source signal can be defined. For more complex errors, resulting from two or more errors occurring simultaneously, the LED-FOD method can also allow the clinician to make a judgment on the reliability of the dosimeter reading. This self-checking method can enhance the clinical robustness of the FOD for achieving accurate dose control.

Yin, Y.; Lambert, J.; Yang, S.; McKenzie, D. R.; Jackson, M.; Suchowerska, N. [Physics School, University of Sydney, New South Wales 2006 (Australia); Physics School, University of Sydney, New South Wales 2006 (Australia) and Department of Radiation Oncology, Royal Prince Alfred Hospital, New South Wales 2050 (Australia); Physics School, University of Sydney, New South Wales 2006 (Australia); Department of Radiation Oncology, Royal Prince Alfred Hospital, New South Wales 2050 (Australia); Physics School, University of Sydney, New South Wales 2006 (Australia) and Department of Radiation Oncology, Royal Prince Alfred Hospital, New South Wales 2050 (Australia)

2009-07-15T23:59:59.000Z

182

ERROR COMPENSATOR FOR A POSITION TRANSDUCER  

DOE Patents (OSTI)

A device is designed for eliminating the effect of leadscrew errors in positioning machines in which linear motion of a slide is effected from rotary motion of a leadscrew. This is accomplished by providing a corrector cam mounted on the slide, a cam follower, and a transducer housing rotatable by the follower to compensate for all the reproducible errors in the transducer signal which can be related to the slide position. The transducer has an inner part which is movable with respect to the transducer housing. The transducer inner part is coupled to the means for rotating the leadscrew such that relative movement between this part and its housing will provide an output signal proportional to the position of the slide. The corrector cam and its follower perform the compensation by changing the angular position of the transducer housing by an amount that is a function of the slide position and the error at that position. (AEC)

Fowler, A.H.

1962-06-12T23:59:59.000Z

183

U-058: Apache Struts Conversion Error OGNL Expression Injection...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Apache Struts Conversion Error OGNL Expression Injection Vulnerability U-058: Apache Struts Conversion Error OGNL Expression Injection Vulnerability December 12, 2011 - 9:00am...

184

Experts Recommend Measures to Reduce Human Error in ...  

Science Conference Proceedings (OSTI)

... 34 recommendations addressing the problems resulting from ... is understood that some human error is inevitable ... that openness about errors leads to ...

2012-02-21T23:59:59.000Z

185

Underestimating Costs in Public Works Projects: Error or Lie?  

E-Print Network (OSTI)

1964). Errors in project cost estimates. Indian Eco- nomicSystematic errors in cost estimates for public investmentprojects compare in cost estimate experience? (Reprint No.

Flyvbjerg, Bent; Holm, Mette Skamris; Buhl, Søren

2006-01-01T23:59:59.000Z

186

Laser Phase Errors in Seeded FELs  

Science Conference Proceedings (OSTI)

Harmonic seeding of free electron lasers has attracted significant attention from the promise of transform-limited pulses in the soft X-ray region. Harmonic multiplication schemes extend seeding to shorter wavelengths, but also amplify the spectral phase errors of the initial seed laser, and may degrade the pulse quality. In this paper we consider the effect of seed laser phase errors in high gain harmonic generation and echo-enabled harmonic generation. We use simulations to confirm analytical results for the case of linearly chirped seed lasers, and extend the results for arbitrary seed laser envelope and phase.

Ratner, D.; Fry, A.; Stupakov, G.; White, W.; /SLAC

2012-03-28T23:59:59.000Z

187

Minimum error discrimination of Pauli channels  

E-Print Network (OSTI)

We solve the problem of discriminating with minimum error probability two given Pauli channels. We show that, differently from the case of discrimination between unitary transformations, the use of entanglement with an ancillary system can strictly improve the discrimination, and any maximally entangled state allows to achieve the optimal discrimination. We also provide a simple necessary and sufficient condition in terms of the structure of the channels for which the ultimate minimum error probability can be achieved without entanglement assistance. When such a condition is satisfied, the optimal input state is simply an eigenstate of one of the Pauli matrices.

Massimiliano F. Sacchi

2005-06-09T23:59:59.000Z

188

GenERRate: generating errors for use in grammatical error detection  

Science Conference Proceedings (OSTI)

This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or ungrammatical. We present an error generation tool called GenERRate and show ...

Jennifer Foster; Øistein E. Andersen

2009-06-01T23:59:59.000Z

189

Modeling Human Error For Experimentation, Training, And Error-Tolerant Design  

E-Print Network (OSTI)

Human error in computer systems has been blamed for many military and civilian catastrophes resulting in mission failure and loss of money and lives. However, the root cause of such failures often lies in the system’s design. A central theme in designing for human-error tolerance is to build a multi-layered defense. Creating such a robust system requires that designers effectively manage several aspects of erroneous system usage: prevention, reduction, detection, identification, recovery, and mitigation. These also correspond to discrete stages before and after error occurrence where different defensive measures can be taken. Human error models can be used to better understand these stages, the underlying cognitive mechanisms responsible for errors, and ultimately how to design systems and training to reduce the effects of inherent human limitations. This paper presents a general framework for human error recovery based on five key stages of erroneous performance: the commission of an error, its detection, identification, and correction, and resumption of the original task. These stages constitute the main components of a state model that characterizes human performance, and allows designers and trainers comprehensively address the most important aspects of error-tolerant design. Furthermore, these performance stages can be modeled computationally, to varying degrees, using standard information processing architectures. This work also demonstrates the effectiveness of a technique using GOMS models to design systems to

Scott D. Wood; David E. Kieras

2002-01-01T23:59:59.000Z

190

Nonlinear model predictive control of a reactive distillation column.  

E-Print Network (OSTI)

??Model Predictive Control (MPC) is an optimal-control based method to select control inputs by minimizing the predicted error from setpoint for the future. Industrially popular… (more)

Kawathekar, Rohit

2004-01-01T23:59:59.000Z

191

Error resilient video streaming for heterogeneous networks  

Science Conference Proceedings (OSTI)

We consider the problem of video streaming for a critical private web cast, for a medium sized audience with heterogeneous nodes having different bandwidths and reliabilities. The nodes can distribute video in a peer-to-peer manner by forming a multicast ... Keywords: error resilience, multiple description coding (MDC), path diversity, video streaming

Divyashikha Sethia; Huzur Saran

2006-12-01T23:59:59.000Z

192

Error bounds of certain Gaussian quadrature formulae  

Science Conference Proceedings (OSTI)

We study the kernel of the remainder term of Gauss quadrature rules for analytic functions with respect to one class of Bernstein-Szego weight functions. The location on the elliptic contours where the modulus of the kernel attains its maximum value ... Keywords: Analytic function, Elliptic contour, Error bound, Gauss quadrature, Kernel, Remainder term, primary, secondary

Miodrag M. Spalevi?; Miroslav S. Prani?

2010-06-01T23:59:59.000Z

193

Evaluating operating system vulnerability to memory errors  

Science Conference Proceedings (OSTI)

Reliability is of great concern to the scalability of extreme-scale systems. Of particular concern are soft errors in main memory, which are a leading cause of failures on current systems and are predicted to be the leading cause on future systems. While ... Keywords: DRAM failures, fault-tolerance, operating systems

Kurt B. Ferreira; Kevin Pedretti; Ron Brightwell; Patrick G. Bridges; David Fiala; Frank Mueller

2012-06-01T23:59:59.000Z

194

Collective error detection for MPI collective operations  

Science Conference Proceedings (OSTI)

An MPI profiling library is a standard mechanism for intercepting MPI calls by applications. Profiling libraries are so named because they are commonly used to gather performance data on MPI programs. Here we present a profiling library whose purpose ... Keywords: MPI, collective, datatype, errors, hashing

Chris Falzone; Anthony Chan; Ewing Lusk; William Gropp

2005-09-01T23:59:59.000Z

195

Explaining ML type errors by data flows  

Science Conference Proceedings (OSTI)

We present a novel approach to explaining ML type errors: Since the type system inhibits data flows that would abort the program at run-time, our type checker identifies as explanations those data flows that violate the typing rules. It also detects ...

Holger Gast

2004-09-01T23:59:59.000Z

196

Regularities and their relations to error bounds  

Science Conference Proceedings (OSTI)

In this paper, we mainly study various notions of regularity for a finite collection {C1,?,Cm} of closed convex subsets of a Banach space X and their relations with other fundamental concepts. ... Keywords: error bound, graph, linearly regular, multifunction, normal cone, positive linear functional, property (G), regular, strong CHIP, tangent cone

Kung Fu Ng; Wei Hong Yang

2004-04-01T23:59:59.000Z

197

Radiological Areas  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Revision to Clearance Policy Associated with Recycle of Scrap Metals Originating from Revision to Clearance Policy Associated with Recycle of Scrap Metals Originating from Radiological Areas On July 13, 2000, the Secretary of Energy imposed an agency-wide suspension on the unrestricted release of scrap metal originating from radiological areas at Department of Energy (DOE) facilities for the purpose of recycling. The suspension was imposed in response to concerns from the general public and industry groups about the potential effects of radioactivity in or on material released in accordance with requirements established in DOE Order 5400.5, Radiation Protection of the Public and Environment. The suspension was to remain in force until DOE developed and implemented improvements in, and better informed the public about, its release process. In addition, in 2001 the DOE announced its intention to prepare a

198

SRS - Area Completion Projects - ARF/IRF  

NLE Websites -- All DOE Office Websites (Extended Search)

4/16/2012 4/16/2012 SEARCH GO spacer Administrative Record File/Information Repository File Federal Facility Agreement and Supporting Documentation General Information and Technologies Public Involvement Home SRS Home Area Completion Projects Administrative Record File/Information Repository File (ARF/IRF) Index of documents contained in the ARF/IRF is available at the University of South Carolina Libraries - Aiken and Columbia on microfilm and/or CD. This index is in PDF (portable document format) which requires Adobe Acrobat Reader software to be installed on your computer. Disclaimer - The scanning process used to transfer documents into the portable document format may unintentionally create minor inaccuracies in the text. The viewer is warned that minor spelling errors may occur and numerical data may be missing decimal points or exponential values. Should the viewer have any questions regarding a particular section of text, an accurate hardcopy is always available from the Area Completion Project Document Control at the Savannah River Site, Debbie Rice at 803-725-3885.

199

Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)  

SciTech Connect

This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

Hodge, B. M.; Ela, E.; Milligan, M.

2011-10-01T23:59:59.000Z

200

Adaptive control system for pulsed megawatt klystrons  

DOE Patents (OSTI)

The invention provides an arrangement for reducing waveform errors such as errors in phase or amplitude in output pulses produced by pulsed power output devices such as klystrons by generating an error voltage representing the extent of error still present in the trailing edge of the previous output pulse, using the error voltage to provide a stored control voltage, and applying the stored control voltage to the pulsed power output device to limit the extent of error in the leading edge of the next output pulse.

Bolie, Victor W. (Albuquerque, NM)

1992-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

DEMONSTRATION OF A HYBRID INTELLIGENT CONTROL STRATEGY FOR CRITICAL BUILDING HVAC SYSTEMS  

SciTech Connect

Many industrial facilities utilize pressure control gradients to prevent migration of hazardous species from containment areas to occupied zones, often using Proportional-Integral-Derivative (PID) control. Within these facilities, PID control is often inadequate to maintain desired performance due to changing operating conditions. As the goal of the Heating, Ventilation and Air-Conditioning (HVAC) control system is to optimize the pressure gradients and associated flows for the plant, Linear Quadratic Tracking (LQT) provides a time-based approach to guiding plant interactions. However, LQT methods are susceptible to modeling and measurement errors, and therefore a hybrid design using the integration of soft control methods with hard control methods is developed and demonstrated to account for these errors and nonlinearities.

Craig Rieger; D. Subbaram Naidu

2010-06-01T23:59:59.000Z

202

Optimized synthesis of concurrently checked controllers  

SciTech Connect

Dedicated controllers (or FSM's) with concurrent checking capabilities are of prime importance in highly dependable applications. This paper presents a new method for introducing on-line test facilities in a controller with a very low overhead. This on-line test consists in detecting illegal paths in the control flow graph. These illegal paths may be due either to permanent faults or to transient errors. The state code flow is compacted through polynomial division. An implicit justifying signature method is applied at the state code level and ensures identical signatures before each join node of the control flow graph. The signatures are then independent of the path followed previously in the graph and the comparison to reference data is greatly facilitated. This property is obtained by a clever state assignment, nearly without area overhead. The controllers can then be checked by signature analysis, either by a built-in monitor or by an external checker.

Leveugle, R.; Saucier, G. (Institut National Polytechnique de Grenoble, CSI Lab., 38000 Grenoble (FR))

1990-04-01T23:59:59.000Z

203

Some aspects regarding human error assessment in resilient socio-technical systems  

Science Conference Proceedings (OSTI)

The paper focuses on a human reliability analysis (HRA) that provides estimates of relative frequencies for human errors in particular critical tasks, highlighting the exposed areas of the system in which the improvements will be beneficial. The dynamic ... Keywords: human factor qualitative, quantitative analysis, risk, sociotechnical system

Gabriela Tont; Luige Vladareanu; Radu Adrian Munteanu; Dan George Tont

2009-11-01T23:59:59.000Z

204

Novel strategies for the synthesis of methane adsorbents with controlled porosity and high surface area. Final report, October 1991-October 1992  

SciTech Connect

Natural gas is an attractive alternative to gasoline as fuel for cars because of its desirable emission characteristics, good cold starting characteristics, and high octane number. A major factor that limits widespread use of NGVs is the low energy density of natural gas. The energy density can be increased by adsorption of the natural gas on high surface area sorbents. Present carbon adsorbents do not adsorb enough methane on a volume per volume basis to be commercially attractive for storage of methane on natural gas fueled vehicles. The report has begun exploring the use of organic gels for the adsorption of methane. Preliminary results are promising enough to warrant further research.

Ventura, S.C.; Hum, G.P.; Narang, S.C.

1992-12-01T23:59:59.000Z

205

Entanglement and Quantum Error Correction with Superconducting Qubits  

E-Print Network (OSTI)

A quantum computer will use the properties of quantum physics to solve certain computational problems much faster than otherwise possible. One promising potential implementation is to use superconducting quantum bits in the circuit quantum electrodynamics (cQED) architecture. There, the low energy states of a nonlinear electronic oscillator are isolated and addressed as a qubit. These qubits are capacitively coupled to the modes of a microwave-frequency transmission line resonator which serves as a quantum communication bus. Microwave electrical pulses are applied to the resonator to manipulate or measure the qubit state. State control is calibrated using diagnostic sequences that expose systematic errors. Hybridization of the resonator with the qubit gives it a nonlinear response when driven strongly, useful for amplifying the measurement signal to enhance accuracy. Qubits coupled to the same bus may coherently interact with one another via the exchange of virtual photons. A two-qubit conditional phase gate mediated by this interaction can deterministically entangle its targets, and is used to generate two-qubit Bell states and three-qubit GHZ states. These three-qubit states are of particular interest because they redundantly encode quantum information. They are the basis of the quantum repetition code prototypical of more sophisticated schemes required for quantum computation. Using a three-qubit Toffoli gate, this code is demonstrated to autonomously correct either bit- or phase-flip errors. Despite observing the expected behavior, the overall fidelity is low because of decoherence. A superior implementation of cQED replaces the transmission-line resonator with a three-dimensional box mode, increasing lifetimes by an order of magnitude. In-situ qubit frequency control is enabled with control lines, which are used to fully characterize and control the system Hamiltonian.

Matthew Reed

2013-11-26T23:59:59.000Z

206

Error Notification, Brookhaven National Laboratory (BNL)  

NLE Websites -- All DOE Office Websites (Extended Search)

Frequently Searched For Frequently Searched For Helpdesk Home Web Services BNL Site Index Can't View PDFs? Need Help Helpdesk Homepage Call the Helpdesk for 24x7 support Bus: 631.344.5522 Fax: 631-344-2140 Email: itdhelp@bnl.gov HTTP Error Forbidden: Page Access Rejected You are not authorized to view this page - This error is caused when the server has a list of IP addresses that are not allowed to access the site, and the IP address you are using is in this list. If the problem persists or if you believe you should be able to view this directory or page, please contact the Web server's administrator or call the Helpdesk by using the email address or phone number listed below. Some reasons for getting this notice: All people outside of the BNL Domain (130.199.0.0) will get this notice.

207

Improved Error Bounds for the Adiabatic Approximation  

E-Print Network (OSTI)

Since the discovery of adiabatic quantum computing, a need has arisen for rigorously proven bounds for the error in the adiabatic approximation. We present in this paper, a rigorous and elementary derivation of upper and lower bounds on the error incurred from using the adiabatic approximation for quantum systems. Our bounds are often asymptotically tight in the limit of slow evolution for fixed Hamiltonians, and are used to provide sufficient conditions for the application of the adiabatic approximation. We show that our sufficiency criteria exclude the Marzlin--Sanders counterexample from the class of Hamiltonians that obey the adiabatic approximation. Finally, we demonstrate the existence of classes of Hamiltonians that resemble the Marzlin--Sanders counterexample Hamiltonian, but also obey the adiabatic approximation.

Cheung, Donny; Wiebe, Nathan

2011-01-01T23:59:59.000Z

208

Error Notification, Brookhaven National Laboratory (BNL)  

NLE Websites -- All DOE Office Websites (Extended Search)

Frequently Searched For Frequently Searched For Helpdesk Home Application Services BNL Site Index Can't View PDFs? Need Help Helpdesk Homepage Call the Helpdesk for 24x7 support Bus: 631.344.5522 Fax: 631-344-2140 Email: itdhelp@bnl.gov HTTP Error Forbidden: Page Access Rejected You are not authorized to view this page - This error is caused when the server has a list of IP addresses that are not allowed to access the site, and the IP address you are using is in this list. If the problem persists or if you believe you should be able to view this directory or page, please contact the Web server's administrator or call the Helpdesk by using the email address or phone number listed below. Some reasons for getting this notice: All people outside of the BNL Domain (130.199.0.0) will get this notice.

209

MEASUREMENTS, ERRORS, AND NEGATIVE KINETIC ENERGY  

E-Print Network (OSTI)

An analysis of errors in measurement yields new insight into the penetration of quantum particles into classically forbidden regions. In addition to “physical” values, realistic measurements yield “unphysical ” values which, we show, can form a consistent pattern. An experiment to isolate a particle in a classically forbidden region obtains negative values for its kinetic energy. These values realize the concept of a weak value, discussed in previous works. 0

Yakir Aharonov; Sandu Popescu; Daniel Rohrlich; Lev Vaidman

1993-01-01T23:59:59.000Z

210

Systematic errors in long baseline oscillation experiments  

Science Conference Proceedings (OSTI)

This article gives a brief overview of long baseline neutrino experiments and their goals, and then describes the different kinds of systematic errors that are encountered in these experiments. Particular attention is paid to the uncertainties that come about because of imperfect knowledge of neutrino cross sections and more generally how neutrinos interact in nuclei. Near detectors are planned for most of these experiments, and the extent to which certain uncertainties can be reduced by the presence of near detectors is also discussed.

Harris, Deborah A.; /Fermilab

2006-02-01T23:59:59.000Z

211

Minimal Achievable Error in the LED problem  

E-Print Network (OSTI)

This paper presents a theoretical model to predict the minimal achievable error, given a noise ratio #, in the LED data set problem. The motivation for developing this theoretical model is to understand and explain some of the results that di#erent systems achieve when they solve the LED problem. Moreover, given a new learning algorithm that solves the LED problem, we can now bound its optimal generalization accuracy.

Xavier Llora; Xavier Llora; David E. Goldberg; David E. Goldberg

2002-01-01T23:59:59.000Z

212

Parallel pulse processing and data acquisition for high speed, low error flow cytometry  

DOE Patents (OSTI)

A digitally synchronized parallel pulse processing and data acquisition system for a flow cytometer has multiple parallel input channels with independent pulse digitization and FIFO storage buffer. A trigger circuit controls the pulse digitization on all channels. After an event has been stored in each FIFO, a bus controller moves the oldest entry from each FIFO buffer onto a common data bus. The trigger circuit generates an ID number for each FIFO entry, which is checked by an error detection circuit. The system has high speed and low error rate.

van den Engh, Gerrit J. (Livermore, CA); Stokdijk, Willem (Livermore, CA)

1992-01-01T23:59:59.000Z

213

Parallel pulse processing and data acquisition for high speed, low error flow cytometry  

DOE Patents (OSTI)

A digitally synchronized parallel pulse processing and data acquisition system for a flow cytometer has multiple parallel input channels with independent pulse digitization and FIFO storage buffer. A trigger circuit controls the pulse digitization on all channels. After an event has been stored in each FIFO, a bus controller moves the oldest entry from each FIFO buffer onto a common data bus. The trigger circuit generates an ID number for each FIFO entry, which is checked by an error detection circuit. The system has high speed and low error rate. 17 figs.

Engh, G.J. van den; Stokdijk, W.

1992-09-22T23:59:59.000Z

214

An Eulerian Limited-Area Atmospheric Transport Model  

Science Conference Proceedings (OSTI)

A limited-area, offline, Eulerian atmospheric transport model has been developed. The model is based on a terrain-following vertical coordinate and a mass-conserving, positive definite advection scheme with small phase and amplitude errors. The ...

Lennart Robertson; Joakim Langner; Magnuz Engardt

1999-02-01T23:59:59.000Z

215

Continuous-time quantum error correction  

E-Print Network (OSTI)

Continuous-time quantum error correction (CTQEC) is an approach to protecting quantum information from noise in which both the noise and the error correcting operations are treated as processes that are continuous in time. This chapter investigates CTQEC based on continuous weak measurements and feedback from the point of view of the subsystem principle, which states that protected quantum information is contained in a subsystem of the Hilbert space. We study how to approach the problem of constructing CTQEC protocols by looking at the evolution of the state of the system in an encoded basis in which the subsystem containing the protected information is explicit. This point of view allows us to reduce the problem to that of protecting a known state, and to design CTQEC procedures from protocols for the protection of a single qubit. We show how previously studied CTQEC schemes with both direct and indirect feedback can be obtained from strategies for the protection of a single qubit via weak measurements and weak unitary operations. We also review results on the performance of CTQEC with direct feedback in cases of Markovian and non-Markovian decoherence, where we have shown that due to the existence of a Zeno regime in non-Markovian dynamics, the performance of CTQEC can exhibit a quadratic improvement if the time resolution of the weak error-correcting operations is high enough to reveal the non-Markovian character of the noise process.

Ognyan Oreshkov

2013-11-11T23:59:59.000Z

216

The Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFC Focused on Hanford’s 300 Area Uranium Plume Quality Assurance Project Plan  

Science Conference Proceedings (OSTI)

The purpose of the project is to conduct research at an Integrated Field-Scale Research Challenge Site in the Hanford Site 300 Area, CERCLA OU 300-FF-5 (Figure 1), to investigate multi-scale mass transfer processes associated with a subsurface uranium plume impacting both the vadose zone and groundwater. The project will investigate a series of science questions posed for research related to the effect of spatial heterogeneities, the importance of scale, coupled interactions between biogeochemical, hydrologic, and mass transfer processes, and measurements/approaches needed to characterize a mass-transfer dominated system. The research will be conducted by evaluating three (3) different hypotheses focused on multi-scale mass transfer processes in the vadose zone and groundwater, their influence on field-scale U(VI) biogeochemistry and transport, and their implications to natural systems and remediation. The project also includes goals to 1) provide relevant materials and field experimental opportunities for other ERSD researchers and 2) generate a lasting, accessible, and high-quality field experimental database that can be used by the scientific community for testing and validation of new conceptual and numerical models of subsurface reactive transport.

Fix, N. J.

2008-01-31T23:59:59.000Z

217

Error Reduction for Weigh-In-Motion  

Science Conference Proceedings (OSTI)

Federal and State agencies need certifiable vehicle weights for various applications, such as highway inspections, border security, check points, and port entries. ORNL weigh-in-motion (WIM) technology was previously unable to provide certifiable weights, due to natural oscillations, such as vehicle bouncing and rocking. Recent ORNL work demonstrated a novel filter to remove these oscillations. This work shows further filtering improvements to enable certifiable weight measurements (error < 0.1%) for a higher traffic volume with less effort (elimination of redundant weighing).

Hively, Lee M [ORNL; Abercrombie, Robert K [ORNL; Scudiere, Matthew B [ORNL; Sheldon, Frederick T [ORNL

2009-01-01T23:59:59.000Z

218

Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFRC Focused on Hanford’s 300 Area Uranium Plume January 2011 to January 2012  

SciTech Connect

The Integrated Field Research Challenge (IFRC) at the Hanford Site 300 Area uranium (U) plume addresses multi-scale mass transfer processes in a complex subsurface biogeochemical setting where groundwater and riverwater interact. A series of forefront science questions on reactive mass transfer motivates research. These questions relate to the effect of spatial heterogeneities; the importance of scale; coupled interactions between biogeochemical, hydrologic, and mass transfer processes; and measurements and approaches needed to characterize and model a mass-transfer dominated biogeochemical system. The project was initiated in February 2007, with CY 2007, CY 2008, CY 2009, and CY 2010 progress summarized in preceding reports. A project peer review was held in March 2010, and the IFRC project acted upon all suggestions and recommendations made in consequence by reviewers and SBR/DOE. These responses have included the development of 'Modeling' and 'Well-Field Mitigation' plans that are now posted on the Hanford IFRC web-site, and modifications to the IFRC well-field completed in CY 2011. The site has 35 instrumented wells, and an extensive monitoring system. It includes a deep borehole for microbiologic and biogeochemical research that sampled the entire thickness of the unconfined 300 A aquifer. Significant, impactful progress has been made in CY 2011 including: (i) well modifications to eliminate well-bore flows, (ii) hydrologic testing of the modified well-field and upper aquifer, (iii) geophysical monitoring of winter precipitation infiltration through the U-contaminated vadose zone and spring river water intrusion to the IFRC, (iv) injection experimentation to probe the lower vadose zone and to evaluate the transport behavior of high U concentrations, (v) extended passive monitoring during the period of water table rise and fall, and (vi) collaborative down-hole experimentation with the PNNL SFA on the biogeochemistry of the 300 A Hanford-Ringold contact and the underlying redox transition zone. The modified well-field has functioned superbly without any evidence for well-bore flows. Beyond these experimental efforts, our site-wide reactive transport models (PFLOTRAN and eSTOMP) have been updated to include site geostatistical models of both hydrologic properties and adsorbed U distribution; and new hydrologic characterization measurements of the upper aquifer. These increasingly robust models are being used to simulate past and recent U desorption-adsorption experiments performed under different hydrologic conditions, and heuristic modeling to understand the complex functioning of the smear zone. We continued efforts to assimilate geophysical logging and 3D ERT characterization data into our site wide geophysical model, with significant and positive progress in 2011 that will enable publication in 2012. Our increasingly comprehensive field experimental results and robust reactive transport simulators, along with the field and laboratory characterization, are leading to a new conceptual model of U(VI) flow and transport in the IFRC footprint and the 300 Area in general, and insights on the microbiological community and associated biogeochemical processes influencing N, S, C, Mn, and Fe. Collectively these findings and higher scale models are providing a unique and unparalleled system-scale understanding of the biogeochemical function of the groundwater-river interaction zone.

Zachara, John M.; Bjornstad, Bruce N.; Christensen, John N.; Conrad, Mark S.; Fredrickson, Jim K.; Freshley, Mark D.; Haggerty, Roy; Hammond, Glenn E.; Kent, Douglas B.; Konopka, Allan; Lichtner, Peter C.; Liu, Chongxuan; McKinley, James P.; Murray, Christopher J.; Rockhold, Mark L.; Rubin, Yoram; Vermeul, Vincent R.; Versteeg, Roelof J.; Zheng, Chunmiao

2012-03-05T23:59:59.000Z

219

Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFRC Focused on Hanford’s 300 Area Uranium Plume  

Science Conference Proceedings (OSTI)

The Integrated Field-Scale Subsurface Research Challenge (IFRC) at the Hanford Site 300 Area uranium (U) plume addresses multi-scale mass transfer processes in a complex hydrogeologic setting where groundwater and riverwater interact. A series of forefront science questions on mass transfer are posed for research which relate to the effect of spatial heterogeneities; the importance of scale; coupled interactions between biogeochemical, hydrologic, and mass transfer processes; and measurements and approaches needed to characterize and model a mass-transfer dominated system. The project was initiated in February 2007, with CY 2007 and CY 2008 progress summarized in preceding reports. The site has 35 instrumented wells, and an extensive monitoring system. It includes a deep borehole for microbiologic and biogeochemical research that sampled the entire thickness of the unconfined 300 A aquifer. Significant, impactful progress has been made in CY 2009 with completion of extensive laboratory measurements on field sediments, field hydrologic and geophysical characterization, four field experiments, and modeling. The laboratory characterization results are being subjected to geostatistical analyses to develop spatial heterogeneity models of U concentration and chemical, physical, and hydrologic properties needed for reactive transport modeling. The field experiments focused on: (1) physical characterization of the groundwater flow field during a period of stable hydrologic conditions in early spring, (2) comprehensive groundwater monitoring during spring to characterize the release of U(VI) from the lower vadose zone to the aquifer during water table rise and fall, (3) dynamic geophysical monitoring of salt-plume migration during summer, and (4) a U reactive tracer experiment (desorption) during the fall. Geophysical characterization of the well field was completed using the down-well Electrical Resistance Tomography (ERT) array, with results subjected to robust, geostatistically constrained inversion analyses. These measurements along with hydrologic characterization have yielded 3D distributions of hydraulic properties that have been incorporated into an updated and increasingly robust hydrologic model. Based on significant findings from the microbiologic characterization of deep borehole sediments in CY 2008, down-hole biogeochemistry studies were initiated where colonization substrates and spatially discrete water and gas samplers were deployed to select wells. The increasingly comprehensive field experimental results, along with the field and laboratory characterization, are leading to a new conceptual model of U(VI) flow and transport in the IFRC footprint and the 300 Area in general, and insights on the microbiological community and associated biogeochemical processes. A significant issue related to vertical flow in the IFRC wells was identified and evaluated during the spring and fall field experimental campaigns. Both upward and downward flows were observed in response to dynamic Columbia River stage. The vertical flows are caused by the interaction of pressure gradients with our heterogeneous hydraulic conductivity field. These impacts are being evaluated with additional modeling and field activities to facilitate interpretation and mitigation. The project moves into CY 2010 with ambitious plans for a drilling additional wells for the IFRC well field, additional experiments, and modeling. This research is part of the ERSP Hanford IFRC at Pacific Northwest National Laboratory.

Zachara, John M.; Bjornstad, Bruce N.; Christensen, John N.; Conrad, Mark E.; Fredrickson, Jim K.; Freshley, Mark D.; Haggerty, Roy; Hammon, Glenn; Kent, Douglas B.; Konopka, Allan; Lichtner, Peter C.; Liu, Chongxuan; McKinley, James P.; Murray, Christopher J.; Rockhold, Mark L.; Rubin, Yoram; Vermeul, Vincent R.; Versteeg, Roelof J.; Ward, Anderson L.; Zheng, Chunmiao

2010-02-01T23:59:59.000Z

220

Multi-Scale Mass Transfer Processes Controlling Natural Attenuation and Engineered Remediation: An IFRC Focused on Hanford’s 300 Area Uranium Plume January 2011 to January 2012  

SciTech Connect

The Integrated Field Research Challenge (IFRC) at the Hanford Site 300 Area uranium (U) plume addresses multi-scale mass transfer processes in a complex subsurface biogeochemical setting where groundwater and riverwater interact. A series of forefront science questions on reactive mass transfer motivates research. These questions relate to the effect of spatial heterogeneities; the importance of scale; coupled interactions between biogeochemical, hydrologic, and mass transfer processes; and measurements and approaches needed to characterize and model a mass-transfer dominated biogeochemical system. The project was initiated in February 2007, with CY 2007, CY 2008, CY 2009, and CY 2010 progress summarized in preceding reports. A project peer review was held in March 2010, and the IFRC project acted upon all suggestions and recommendations made in consequence by reviewers and SBR/DOE. These responses have included the development of 'Modeling' and 'Well-Field Mitigation' plans that are now posted on the Hanford IFRC web-site, and modifications to the IFRC well-field completed in CY 2011. The site has 35 instrumented wells, and an extensive monitoring system. It includes a deep borehole for microbiologic and biogeochemical research that sampled the entire thickness of the unconfined 300 A aquifer. Significant, impactful progress has been made in CY 2011 including: (i) well modifications to eliminate well-bore flows, (ii) hydrologic testing of the modified well-field and upper aquifer, (iii) geophysical monitoring of winter precipitation infiltration through the U-contaminated vadose zone and spring river water intrusion to the IFRC, (iv) injection experimentation to probe the lower vadose zone and to evaluate the transport behavior of high U concentrations, (v) extended passive monitoring during the period of water table rise and fall, and (vi) collaborative down-hole experimentation with the PNNL SFA on the biogeochemistry of the 300 A Hanford-Ringold contact and the underlying redox transition zone. The modified well-field has functioned superbly without any evidence for well-bore flows. Beyond these experimental efforts, our site-wide reactive transport models (PFLOTRAN and eSTOMP) have been updated to include site geostatistical models of both hydrologic properties and adsorbed U distribution; and new hydrologic characterization measurements of the upper aquifer. These increasingly robust models are being used to simulate past and recent U desorption-adsorption experiments performed under different hydrologic conditions, and heuristic modeling to understand the complex functioning of the smear zone. We continued efforts to assimilate geophysical logging and 3D ERT characterization data into our site wide geophysical model, with significant and positive progress in 2011 that will enable publication in 2012. Our increasingly comprehensive field experimental results and robust reactive transport simulators, along with the field and laboratory characterization, are leading to a new conceptual model of U(VI) flow and transport in the IFRC footprint and the 300 Area in general, and insights on the microbiological community and associated biogeochemical processes influencing N, S, C, Mn, and Fe. Collectively these findings and higher scale models are providing a unique and unparalleled system-scale understanding of the biogeochemical function of the groundwater-river interaction zone.

Zachara, John M.; Bjornstad, Bruce N.; Christensen, John N.; Conrad, Mark S.; Fredrickson, Jim K.; Freshley, Mark D.; Haggerty, Roy; Hammond, Glenn E.; Kent, Douglas B.; Konopka, Allan; Lichtner, Peter C.; Liu, Chongxuan; McKinley, James P.; Murray, Christopher J.; Rockhold, Mark L.; Rubin, Yoram; Vermeul, Vincent R.; Versteeg, Roelof J.; Zheng, Chunmiao

2012-03-05T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Accounting for Model Errors in Ensemble Data Assimilation  

Science Conference Proceedings (OSTI)

This study addresses the issue of model errors with the ensemble Kalman filter. Observations generated from the NCEP–NCAR reanalysis fields are assimilated into a low-resolution AGCM. Without an effort to account for model errors, the performance ...

Hong Li; Eugenia Kalnay; Takemasa Miyoshi; Christopher M. Danforth

2009-10-01T23:59:59.000Z

222

Stability of error bounds for convex constraint systems in Banach ...  

E-Print Network (OSTI)

Jan 7, 2010 ... space X the error bound property is defined by the inequality ... is the error bound modulus [8]) (also known as conditioning rate [23]) of f at ¯x.

223

An Objective Method for Inferring Sources of Model Error  

Science Conference Proceedings (OSTI)

A restricted statistical correction (RSC) approach is introduced to assess the sources of error in general circulation models (GCMs). RSC models short-term forecast error by considering linear transformations of the GCM's forcing terms, which ...

Siegfried Schubert; Yehui Chang

1996-02-01T23:59:59.000Z

224

Prediction of Consensus Tropical Cyclone Track Forecast Error  

Science Conference Proceedings (OSTI)

The extent to which the tropical cyclone (TC) track forecast error of a consensus model (CONU) routinely used by the forecasters at the National Hurricane Center can be predicted is determined. A number of predictors of consensus forecast error, ...

James S. Goerss

2007-05-01T23:59:59.000Z

225

Hidden Error Variance Theory. Part I: Exposition and Analytic Model  

Science Conference Proceedings (OSTI)

A conundrum of predictability research is that while the prediction of flow-dependent error distributions is one of its main foci, chaos fundamentally hides flow-dependent forecast error distributions from empirical observation. Empirical ...

Craig H. Bishop; Elizabeth A. Satterfield

2013-05-01T23:59:59.000Z

226

Forecast-Error Statistics for Homogeneous and Inhomogeneous Observation Networks  

Science Conference Proceedings (OSTI)

Objective analysis procedures such as statistical interpolation require reliable estimates of forecast-error statistics in order to optimize the analysis weights. Reasonably good estimates of the forecast-error statistics can be obtained from ...

Roger Daley

1992-04-01T23:59:59.000Z

227

Human error contribution to nuclear materials-handling events  

E-Print Network (OSTI)

This thesis analyzes a sample of 15 fuel-handling events from the past ten years at commercial nuclear reactors with significant human error contributions in order to detail the contribution of human error to fuel-handling ...

Sutton, Bradley (Bradley Jordan)

2007-01-01T23:59:59.000Z

228

Zero-error capacity of a quantum channel  

E-Print Network (OSTI)

We define the quantum zero-error capacity, a new kind of classical capacity of a noisy quantum channel. Moreover, the necessary requirement for which a quantum channel has zero-error capacity greater than zero is also given.

Rex A. C. Medeiros; Francisco M. de Assis

2004-03-26T23:59:59.000Z

229

Distributed Forcing of Forecast and Assimilation Error Systems  

Science Conference Proceedings (OSTI)

Temporally distributed deterministic and stochastic excitation of the tangent linear forecast system governing forecast error growth and the tangent linear observer system governing assimilation error growth is examined. The method used is to ...

Brian F. Farrell; Petros J. Ioannou

2005-02-01T23:59:59.000Z

230

The Midlatitude Development of Regional Errors in a Global GCM  

Science Conference Proceedings (OSTI)

The growth of geographically confined errors is studied in six experiments with a five-level global spectral (rhomboidal 30) general circulation model. Each experiment consists of 36 identical twin integrations with the initial errors localized ...

David M. Straus

1993-08-01T23:59:59.000Z

231

Error Estimation Using Wavelet Analysis for Data Assimilation: EEWADAi  

Science Conference Proceedings (OSTI)

A new method is presented for estimating numerical errors in simulations as a function of space and time. This knowledge of numerical errors can provide critical information for the effective assimilation of external data. The new method utilizes ...

Leland Jameson; Takuji Waseda

2000-09-01T23:59:59.000Z

232

An error model for inter-vehicle communications in highway scenarios at 5.9GHz  

Science Conference Proceedings (OSTI)

The design and evaluation of Inter-Vehicle Communication (IVC) protocols rely much on the accurate and efficient computational simulations. For simulations of Medium Access Control (MAC) and higher layers, the modeling work of underlying Physical layer ... Keywords: DSRC, IEEE 802.11p, ITS, inter-vehicle communications, packet error ratio, wireless channel model

Yunpeng Zang; Lothar Stibor; Georgios Orfanos; Shumin Guo; Hans-Juergen Reumerman

2005-10-01T23:59:59.000Z

233

Image quality degradation and retrieval errors introduced by registration and interpolation of multispectral digital images  

SciTech Connect

Full utilization of multispectral data acquired by whiskbroom and pushbroom imagers requires that the individual channels be registered accurately. Poor registration introduces errors which can be significant, especially in high contrast areas such as boundaries between regions. We simulate the acquisition of multispectral imagery in order to estimate the errors that are introduced by co-registration of different channels and interpolation within the images. We compute the Modulation Transfer Function (MTF) and image quality degradation brought about by fractional pixel shifting and calculate errors in retrieved quantities (surface temperature and water vapor) that occur as a result of interpolation. We also present a method which might be used to estimate sensor platform motion for accurate registration of images acquired by a pushbroom scanner.

Henderson, B.G.; Borel, C.C.; Theiler, J.P.; Smith, B.W.

1996-04-01T23:59:59.000Z

234

Semantic errors in SQL queries: a quite complete list  

Science Conference Proceedings (OSTI)

We investigate classes of SQL queries which are syntactically correct, but certainly not intended, no matter for which task the query was written. For instance, queries that are contradictory, i.e. always return the empty set, are obviously not intended. ... Keywords: SQL, SQL exams, bugs, database courses, databases, errors, logical errors, queries, semantic errors, software correctness, static analysis, teaching

Stefan Brass; Christian Goldberg

2006-05-01T23:59:59.000Z

235

Coded DNA Self-Assembly for Error Detection/Location  

Science Conference Proceedings (OSTI)

This paper proposes a novel framework in which DNA self-assembly can be analyzed for error detection/ location. The proposed framework relies on coding and mapping functions that allow to establish the presence of erroneous bonded tiles based on the ... Keywords: Coding, Nano Manufacturing, Error Detection, Error Resilience

Zahra Mashreghian Arani; Masoud Hashempour; Fabrizio Lombardi

2009-10-01T23:59:59.000Z

236

Unitary application of the quantum error correction codes  

E-Print Network (OSTI)

From the set of operators for errors and its correction code, we introduce the so-called complete unitary transformation. It can be used for encoding while the inverse of it can be applied for correcting the errors of the encoded qubit. We show that this unitary protocol can be applied for any code which satisfies the quantum error correction condition.

Xoaohua Wu; Bo You

2011-06-24T23:59:59.000Z

237

Reasoning about human error by modeling cognition and interaction  

E-Print Network (OSTI)

In this paper we focus on system resilience from the perspective of understanding human error. In particular, we consider systematic cognitive slips, including postcompletion errors, which are persistent, though infrequent. We outline the findings from empirical studies that have identified various factors that provoke or mitigate against such errors. We then describe approaches we are pursuing to encapsulate these insights in ways that can be re-used within system design. More broadly, we argue that an understanding of the factors that influence the likelihood of such errors can support organizations in designing systems and processes to minimize the likelihood of such errors.

Ann Blandford; Jonathan Back; Paul Curzon; Simon Y. W. Li; Rimvydas Ruksenas

2006-01-01T23:59:59.000Z

238

Asymmetric error field interaction with rotating conducting walls  

Science Conference Proceedings (OSTI)

The interaction of error fields with a system of differentially rotating conducting walls is studied analytically and compared to experimental data. Wall rotation causes eddy currents to persist indefinitely, attenuating and rotating the original error field. Superposition of error fields from external coils and plasma currents are found to break the symmetry in wall rotation direction. The vacuum and plasma eigenmodes are modified by wall rotation, with the error field penetration time decreased and the kink instability stabilized, respectively. Wall rotation is also predicted to reduce error field amplification by the marginally stable plasma.

Paz-Soldan, C.; Brookhart, M. I.; Hegna, C. C.; Forest, C. B. [Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States)

2012-07-15T23:59:59.000Z

239

Error minimizing algorithms for nearest eighbor classifiers  

SciTech Connect

Stack Filters define a large class of discrete nonlinear filter first introd uced in image and signal processing for noise removal. In recent years we have suggested their application to classification problems, and investigated their relationship to other types of discrete classifiers such as Decision Trees. In this paper we focus on a continuous domain version of Stack Filter Classifiers which we call Ordered Hypothesis Machines (OHM), and investigate their relationship to Nearest Neighbor classifiers. We show that OHM classifiers provide a novel framework in which to train Nearest Neighbor type classifiers by minimizing empirical error based loss functions. We use the framework to investigate a new cost sensitive loss function that allows us to train a Nearest Neighbor type classifier for low false alarm rate applications. We report results on both synthetic data and real-world image data.

Porter, Reid B [Los Alamos National Laboratory; Hush, Don [Los Alamos National Laboratory; Zimmer, G. Beate [TEXAS A& M

2011-01-03T23:59:59.000Z

240

Graphical Quantum Error-Correcting Codes  

E-Print Network (OSTI)

We introduce a purely graph-theoretical object, namely the coding clique, to construct quantum errorcorrecting codes. Almost all quantum codes constructed so far are stabilizer (additive) codes and the construction of nonadditive codes, which are potentially more efficient, is not as well understood as that of stabilizer codes. Our graphical approach provides a unified and classical way to construct both stabilizer and nonadditive codes. In particular we have explicitly constructed the optimal ((10,24,3)) code and a family of 1-error detecting nonadditive codes with the highest encoding rate so far. In the case of stabilizer codes a thorough search becomes tangible and we have classified all the extremal stabilizer codes up to 8 qubits.

Sixia Yu; Qing Chen; C. H. Oh

2007-09-12T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

AVESTAR® - Control  

NLE Websites -- All DOE Office Websites (Extended Search)

Control Control AVESTAR control system efforts are focused on development of computational approaches for simulation and advanced controls for energy systems. Power generation technologies are growing more sophisticated and require control strategies and systems to be updated to allow plant owners to take full advantage of their increased capabilities. A well designed control system can provide the ability to hit and maintain setpoints without oscillation for optimum power plant operation. Implementation of complex control systems developed through advanced computational approaches will increase efficiency and reduce emissions. The AVESTAR team is focusing on the following three areas of process control research: 1) Plant-wide control system design, 2) Advanced regulatory control, and 3) Advanced process control. Process control models, methods, and tools are developed and applied to a wide variety of energy systems ranging from smart plant to smart grid.

242

A Direct Error Measure for Affine Models of Nonlinear Algebraic Systems  

NLE Websites -- All DOE Office Websites (Extended Search)

A Direct Error Measure for Affine Models of Nonlinear Algebraic Systems A Direct Error Measure for Affine Models of Nonlinear Algebraic Systems Speaker(s): David Lorenzetti Date: June 2, 1999 - 12:00pm Location: Bldg. 90 The Newton-Raphson solution of a nonlinear system iterately linearizes the equations, then steps to the solution of the resulting affine model. When a step exceeds the predictive range of its model, the method can diverge. The traditional response -- aggregating the equations into a cost function, and applying a minimization method -- suppresses information about how each equation model performs. Direct error measures examine the equations individually, allowing finer control over step lengths. The seminar will develop one such measure through the geometry of simple one- and two-dimensional examples, then present results from a suite of larger

243

Accounting for Circumsolar and Horizon Cloud Determination Errors in Sky Image Inferral of Sky Cover  

NLE Websites -- All DOE Office Websites (Extended Search)

Accounting for Circumsolar and Horizon Cloud Determination Errors in Sky Accounting for Circumsolar and Horizon Cloud Determination Errors in Sky Image Inferral of Sky Cover. C. N. Long, Pacific Northwest National Laboratory 1) Introduction In observing the cloudless sky, one can often notice that the area near the sun is whiter and brighter than the rest of the hemisphere. Additionally, even a slight haze will make a large angular area of the horizon whiter and brighter when the sun is low on the horizon. The human eye has an amazing ability to handle a range of light intensity spanning orders of magnitude. But one of the persistent problems in using sky images to infer fractional sky cover is the intensity range limitations of the camera detector. It is desirable to have bright enough images to be able to detect thin clouds, yet this often means the part of the image near the

244

Compatibility of Stand Basal Area Predictions Based on Forecast Combination  

E-Print Network (OSTI)

Compatibility of Stand Basal Area Predictions Based on Forecast Combination Xiongqing Zhang Carr.) in Beijing, forecast combination was used to adjust predicted stand basal areas from these three types of models. The forecast combination method combines information and disperses errors from

Cao, Quang V.

245

Los Alamos identifies internal material control issue  

NLE Websites -- All DOE Office Websites (Extended Search)

Internal material control issue Internal material control issue Los Alamos identifies internal material control issue The error relates to internal inventory and accounting that documents movement of sensitive materials within a small portion of Technical Area 55. February 26, 2009 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials.

246

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

PROCEDURE (SOP) This document defines the safety management program for the laser system listed below. All American National Standard Institute (ANSI) Hazard Class 3b and 4...

247

Excess Capacity from LADWP Control Area  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Kane Attachments cc: The Honorable Ralph Hall The Honorable Roecoe Bartlett The Honorable Lynn Woolsey The Honorable Vern Ehlers The Honorable Joe Barton The Honorable Rick Bpucher...

248

Laser Controlled Area Standard Operating Procedure (SOP)  

NLE Websites -- All DOE Office Websites (Extended Search)

06 Effective: Page 1 of 40 10152010 Subject: U6 U13 Laser Safety Program Documentation The only official copy of this file is the one on-line in the NSLS ESH website. Before...

249

Receptor Worker Individual Outside Controlled Area  

E-Print Network (OSTI)

adequately address the increased risk a reprocessing facility poses relative to other fuel cycle facilities – “high consequence ” accidents to be made “highly unlikely ” by applying IROFS – “intermediate consequence” accidents to be made “unlikely ” by applying IROFS – Likelihood criteria on a per accident sequence basis recommended in NUREG-1520

unknown authors

2008-01-01T23:59:59.000Z

250

NSLS Work Planning & Controls  

NLE Websites -- All DOE Office Websites (Extended Search)

Work Planning & Controls NSLS Work Planning and Control Procedure Lead Working Guidelines Information on Working in Areas Subject to Radiation from VUV Injection Procedure for...

251

NSTB Summarizes Vulnerable Areas | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

vulnerabilities ranged from conventional IT security issues to specific weaknesses in control system protocols. NSTB Summarizes Vulnerable Areas More Documents & Publications...

252

An Ensemble Smoother with Error Estimates  

Science Conference Proceedings (OSTI)

A smoother introduced earlier by van Leeuwen and Evensen is applied to a problem in which real observations are used in an area with strongly nonlinear dynamics. The derivation is new, but it resembles an earlier derivation by van Leeuwen and ...

Peter Jan van Leeuwen

2001-04-01T23:59:59.000Z

253

Merchant Commodity Storage and Term Structure Model Error  

E-Print Network (OSTI)

Merchants operations involves valuing and hedging the cash flows of commodity and energy conversion assets as real options based on stochastic models that inevitably embed model error. In this paper we quantify how empirically calibrated model errors about the futures price term structure affect the valuation and hedging of commodity storage assets, specifically the storage of natural gas, an important energy source. We also explore ways to mitigate the impact of these errors. Our analysis demonstrates the differential impact of term structure model error on natural gas storage valuation versus hedging. We also propose an effective approach to deal with the negative effect of such model error on factor hedging, a specific hedging approach. More generally, our work suggests managerial principles for option valuation and hedging in the presence of term structure model error. These principles should have relevance for the merchant management of other commodity conversion assets and for the management of financial options that also depend on term structure dynamics

Nicola Secom; Guoming Lai; François Margot; Alan Scheller-wolf

2011-01-01T23:59:59.000Z

254

Running jobs error: "inet_arp_address_lookup"  

NLE Websites -- All DOE Office Websites (Extended Search)

maintenance, users reporting get the error message similar as follows occassionaly: PE456:inetarpaddresslookup:Failed to read output of sbinarp -a -i ipogif0 command. Try...

255

Generic Error Model of Human-Robot Interaction  

E-Print Network (OSTI)

Wrong human-robot interactions are at the origin of severe damages. Safety requirements ask the analysis of these interactions. At first, erroneous interactions have to be identified. In this paper, we propose to use UML (Unified Modeling Language) to specify human robot interaction. Then, generic error models, associated with the message feature provided by UML, are presented. These error models allow interaction errors to be automatically deduced from the modeling of the human-robot interactions. The use of these generic error models is illustrated on a medical robot for teleechography.

J. Guiochet; et al.

2004-01-01T23:59:59.000Z

256

Loaded Transmission Error Measurement System for Spur and Helical Gears.  

E-Print Network (OSTI)

??The majority of loaded static transmission error test stands developed in the past had little success generating accurate results versus analytical predictions for parallel-axis gearing.… (more)

Wright, Zachary Harrison

2009-01-01T23:59:59.000Z

257

NIST Achieves Record-Low Error Rate for Quantum ...  

Science Conference Proceedings (OSTI)

... The horizontal and vertical lines separate gold electrodes, which are tuned to ... errors caused by instability in laser beam pointing and power, as well ...

2011-08-30T23:59:59.000Z

258

ERROR BOUNDS FOR VECTOR-VALUED FUNCTIONS ON ...  

E-Print Network (OSTI)

referred to the survey papers by Azé [2], Lewis & Pang [25], Pang [33], as well as the book by Auslender & Teboule [1]. Numerous characterizations of the error ...

259

Use of Quantum Error Coding in a 4-Blade Neutron ...  

Science Conference Proceedings (OSTI)

Use of Quantum Error Coding in a 4-Blade Neutron Interferometer. Summary: ... Figure 1: A schematic diagram of the 5-blade neutron interferometer. ...

2013-07-30T23:59:59.000Z

260

Historical Ocean Subsurface Temperature Analysis with Error Estimates  

Science Conference Proceedings (OSTI)

An objective analysis of monthly ocean subsurface temperatures from 1950 to 1998 is carried out. The analysis scheme and the results with estimated analysis errors are presented.

Masayoshi Ishii; Masahide Kimoto; Misako Kachi

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Error Detection, Factorization and Correction for Multi-View Scene Reconstruction from Aerial Imagery  

SciTech Connect

Scene reconstruction from video sequences has become a prominent computer vision research area in recent years, due to its large number of applications in fields such as security, robotics and virtual reality. Despite recent progress in this field, there are still a number of issues that manifest as incomplete, incorrect or computationally-expensive reconstructions. The engine behind achieving reconstruction is the matching of features between images, where common conditions such as occlusions, lighting changes and texture-less regions can all affect matching accuracy. Subsequent processes that rely on matching accuracy, such as camera parameter estimation, structure computation and non-linear parameter optimization, are also vulnerable to additional sources of error, such as degeneracies and mathematical instability. Detection and correction of errors, along with robustness in parameter solvers, are a must in order to achieve a very accurate final scene reconstruction. However, error detection is in general difficult due to the lack of ground-truth information about the given scene, such as the absolute position of scene points or GPS/IMU coordinates for the camera(s) viewing the scene. In this dissertation, methods are presented for the detection, factorization and correction of error sources present in all stages of a scene reconstruction pipeline from video, in the absence of ground-truth knowledge. Two main applications are discussed. The first set of algorithms derive total structural error measurements after an initial scene structure computation and factorize errors into those related to the underlying feature matching process and those related to camera parameter estimation. A brute-force local correction of inaccurate feature matches is presented, as well as an improved conditioning scheme for non-linear parameter optimization which applies weights on input parameters in proportion to estimated camera parameter errors. Another application is in reconstruction pre-processing, where an algorithm detects and discards frames that would lead to inaccurate feature matching, camera pose estimation degeneracies or mathematical instability in structure computation based on a residual error comparison between two different match motion models. The presented algorithms were designed for aerial video but have been proven to work across different scene types and camera motions, and for both real and synthetic scenes.

Hess-Flores, M

2011-11-10T23:59:59.000Z

262

Creative Uses of Software Errors: Glitches and Cheats  

Science Conference Proceedings (OSTI)

Video games constitute a major sector of computing with distinctive social implications. Analysis of video game programming errors, design limitations, and rule ambiguities suggests a range of positive functions that glitches and cheats may perform. ... Keywords: cheat, computer, error, glitch, video game

Wilma Alice Bainbridge; William Sims Bainbridge

2007-02-01T23:59:59.000Z

263

Estimating Sampling Errors in Large-Scale Temperature Averages  

Science Conference Proceedings (OSTI)

A method is developed for estimating the uncertainty (standard error) of observed regional, hemispheric, and global-mean surface temperature series due to incomplete spatial sampling. Standard errors estimated at the grid-box level [SE2 = S2(1 ? ...

P. D. Jones; T. J. Osborn; K. R. Briffa

1997-10-01T23:59:59.000Z

264

Tangential residual as error estimator in the boundary element method  

Science Conference Proceedings (OSTI)

In this paper a new error estimator based on tangential derivative Boundary Integral Equation residuals for 2D Laplace and Helmholtz equations is shown. The direct problem for general mixed boundary conditions is solved using standard and hypersingular ... Keywords: Adaptivity, Boundary Integral Equation residual, Boundary element method, Error estimation, Mesh adaptation, Mesh refinement, Nodal sensitivity

Alejandro E. Martínez-Castro; Rafael Gallego

2005-04-01T23:59:59.000Z

265

Multistrategy Discovery and Detection of Novice Programmer Errors  

Science Conference Proceedings (OSTI)

Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the discovery of classes of errors from, and their detection in, novice programs. ... Keywords: conceptual clustering, multistrategy learning, student modeling, unsupervised learning

Raymund C. Sison; Masayuki Numao; Masamichi Shimura

2000-01-01T23:59:59.000Z

266

Soft Error Vulnerability of Iterative Linear Algebra Methods  

Science Conference Proceedings (OSTI)

Devices become increasingly vulnerable to soft errors as their feature sizes shrink. Previously, soft errors primarily caused problems for space and high-atmospheric computing applications. Modern architectures now use features so small at sufficiently low voltages that soft errors are becoming significant even at terrestrial altitudes. The soft error vulnerability of iterative linear algebra methods, which many scientific applications use, is a critical aspect of the overall application vulnerability. These methods are often considered invulnerable to many soft errors because they converge from an imprecise solution to a precise one. However, we show that iterative methods can be vulnerable to soft errors, with a high rate of silent data corruptions. We quantify this vulnerability, with algorithms generating up to 8.5% erroneous results when subjected to a single bit-flip. Further, we show that detecting soft errors in an iterative method depends on its detailed convergence properties and requires more complex mechanisms than simply checking the residual. Finally, we explore inexpensive techniques to tolerate soft errors in these methods.

Bronevetsky, G; de Supinski, B

2007-12-15T23:59:59.000Z

267

Network protocols: correcting transmission errors of up to two bits  

Science Conference Proceedings (OSTI)

While the construction of Hamming Codes that can detect and correct 1-bit transmission errors has been illustrated [1], Hamming Codes that will detect and correct transmission errors of more than 1 bit remain yet to be constructed. In this paper, ...

Sei-Jong Chung

2003-12-01T23:59:59.000Z

268

Design error diagnosis and correction in digital circuits  

E-Print Network (OSTI)

As the design of digital systems is becoming Micrographics. increasingly complex, an undetected design error in the late phase of the design process may have catastrophic consequences. It is thus very important to discover these design errors as early as and efficient way. Simulation and tautology possible, and to correct them in a fast checking can be used for design verification. Their role is only to decide whether the design is correct or not. But when the existence of an error is detected, further mechanized help is needed to and the error correction. Though error diagnosis methods based on simulation are simple and fast, they are not considered accurate enough to be used for error correction. Symbolic methods based on Binary Decision Diagrams (BDDs) are accurate enough to be used both for diagnosis and correction, but they have limited applicability due to the memory explosion problem associated with BDDS. This work presents a simulation-based error correction procedure, which can efficiently overcome the limitations of a symbolic error correction method without sacrificing much accuracy.

Nayak, Debashis

1998-01-01T23:59:59.000Z

269

How to communicate unit error messages in spreadsheets  

E-Print Network (OSTI)

In previous work we have designed and implemented an automatic reasoning system for spreadsheets, called UCheck, that infers unit information for cells in a spreadsheet. Based on this unit information, UCheck can identify cells in the spreadsheet that contain erroneous formulas. However, the information about an erroneous cell is reported to the user currently in a rather crude way by simply coloring the cell, which does not tell anything about the nature of error and thus offers no help to the user as to how to fix it. In this paper we describe an extension of UCheck, called UFix, which improves the error messages reported to the spreadsheet user dramatically. The approach essentially consists of three steps: First, we identify different categories of spreadsheet errors from an end-user’s perspective. Second, we map units that indicate erroneous formulas to these error categories. Finally, we create customized error messages from the unit information and the identified error category. In many cases, these error messages also provide suggestions on how to fix the reported errors.

Robin Abraham; Martin Erwig

2005-01-01T23:59:59.000Z

270

Analyzing localization errors in one-dimensional sensor networks  

Science Conference Proceedings (OSTI)

One-dimensional sensor networks can be found in many fields and demand node location information for various applications. Developing localization algorithms in one-dimensional sensor networks is trivial, due to the fact that existing localization algorithms ... Keywords: Cramér-Rao lower bound, Error propagation, Estimation errors, Localization, One-dimensional sensor networks

Baoqi Huang; Changbin Yu; Brian D. O. Anderson

2012-02-01T23:59:59.000Z

271

Type error slicing in implicitly typed higher-order languages  

Science Conference Proceedings (OSTI)

Previous methods have generally identified the location of a type error as a particular program point or the program subtree rooted at that point. We present a new approach that identifies the location of a type error as a set of program points (a slice) ...

Christian Haack; J. B. Wells

2003-04-01T23:59:59.000Z

272

Discriminative sum types locate the source of type errors  

Science Conference Proceedings (OSTI)

We propose a type system for locating the source of type errors in an applied lambda calculus with ML-style polymorphism. The system is based on discriminative sum types---known from work on soft typing---with annotation subtyping and recursive types. ... Keywords: polymorphism, type errors, type inference

Matthias Neubauer; Peter Thiemann

2003-08-01T23:59:59.000Z

273

Plasma dynamics and a significant error of macroscopic averaging  

E-Print Network (OSTI)

The methods of macroscopic averaging used to derive the macroscopic Maxwell equations from electron theory are methodologically incorrect and lead in some cases to a substantial error. For instance, these methods do not take into account the existence of a macroscopic electromagnetic field EB, HB generated by carriers of electric charge moving in a thin layer adjacent to the boundary of the physical region containing these carriers. If this boundary is impenetrable for charged particles, then in its immediate vicinity all carriers are accelerated towards the inside of the region. The existence of the privileged direction of acceleration results in the generation of the macroscopic field EB, HB. The contributions to this field from individual accelerated particles are described with a sufficient accuracy by the Lienard-Wiechert formulas. In some cases the intensity of the field EB, HB is significant not only for deuteron plasma prepared for a controlled thermonuclear fusion reaction but also for electron plasma in conductors at room temperatures. The corrected procedures of macroscopic averaging will induce some changes in the present form of plasma dynamics equations. The modified equations will help to design improved systems of plasma confinement.

Marek A. Szalek

2005-05-22T23:59:59.000Z

274

Quantum states characterization for the zero-error capacity  

E-Print Network (OSTI)

The zero-error capacity of quantum channels was defined as the least upper bound of rates at which classical information can be transmitted through a quantum channel with probability of error equal to zero. This paper investigates some properties of input states and measurements used to attain the quantum zero-error capacity. We start by reformulating the problem of finding the zero-error capacity in the language of graph theory. This alternative definition is used to prove that the zero-error capacity of any quantum channel can be reached by using tensor products of pure states as channel inputs, and projective measurements in the channel output. We conclude by presenting an example that illustrates our results.

Rex A C Medeiros; Romain Alleaume; Gerard Cohen; Francisco M. de Assis

2006-11-03T23:59:59.000Z

275

"RSE Table C10.1. Relative Standard Errors for Table C10.1;"  

U.S. Energy Information Administration (EIA) Indexed Site

1. Relative Standard Errors for Table C10.1;" 1. Relative Standard Errors for Table C10.1;" " Unit: Percents." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,,," " " "," ","Computer Control","of Building-Wide","Environment(b)","or Major","Energy-Using","Equipment(c)","Waste","Heat","Recovery","Adjustable -","Speed","Motors" "NAICS"," " "Code(a)","Subsector and Industry","In Use(d)","Not in Use","Don't Know","In Use(d)","Not in Use","Don't Know","In Use(d)","Not in Use","Don't Know","In Use(d)","Not in Use","Don't Know"

276

Hidden Error Variance Theory. Part II: An Instrument That Reveals Hidden Error Variance Distributions from Ensemble Forecasts and Observations  

Science Conference Proceedings (OSTI)

In Part I of this study, a model of the distribution of true error variances given an ensemble variance is shown to be defined by six parameters that also determine the optimal weights for the static and flow-dependent parts of hybrid error ...

Craig H. Bishop; Elizabeth A. Satterfield; Kevin T. Shanley

2013-05-01T23:59:59.000Z

277

Property:Focus Area | Open Energy Information  

Open Energy Info (EERE)

Area Area Jump to: navigation, search This is a property of type String. The allowed values for this property are: Building Energy Efficiency Economic and Workforce Development Electrical Assessment Energy and Greenhouse Gas Baselining Transportation Energy Supply Load Reduction Policy and Human Behavior Renewable Energy Food Supply Pages using the property "Focus Area" Showing 2 pages using this property. N National Residential Efficiency Measures Database + Building Energy Efficiency + P PyTurbSim + Renewable Energy + Retrieved from "http://en.openei.org/w/index.php?title=Property:Focus_Area&oldid=307138#SMWResults" What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

278

Human error modeling predictions: increasing occupational safety using human performance modeling tools  

E-Print Network (OSTI)

Abstract: The use of computer-aided job analysis tools has been increasing in the recent past as a result of decreases in computational costs, augmentations in the reality of the computer-aided job analysis tools, and usefulness of the output generated from these tools. One tool set known as integrated Human Performance Modeling (HPM) is a humanout-of-the-loop (HOOTL) computational methodology used to generate predictions of complex human-automation integration and system flow patterns. These tools provide computational representations of humans incorporating physical, cognitive, perceptual, and environmental characteristics. Increasingly complex automation leads to a new class of errors and error vulnerabilities. Hollnagel’s (1993) Contextual Control Model (CoCoM) will be used as the human error theory behind a HOOTL simulation using Air Man-machine Integration Design and Analysis System (Air MIDAS) to evaluate complex humanautomation integration considerations currently underway at NASA Ames Research Center. This paper will highlight the importance of the physical and cognitive link of a specific task and will outline attempts being made to understand the factors underlying human error, a critical consideration of human-complex system performance.

Edited B. Das; Brian F. Gore; Kevin M. Corker

2001-01-01T23:59:59.000Z

279

Nuclear Power - Control, Reliability and Human Factors  

E-Print Network (OSTI)

Advances in reactor designs, materials and human-machine interfaces guarantee safety and reliability of emerging reactor technologies, eliminating possibilities for high-consequence human errors as those which have occurred in the past. New instrumentation and control technologies based in digital systems, novel sensors and measurement approaches facilitate safety, reliability and economic competitiveness of nuclear power options. Autonomous operation scenarios are becoming increasingly popular to consider for small modular systems. This book belongs to a series of books on nuclear power published by InTech. It consists of four major sections and contains twenty-one chapters on topics from key subject areas pertinent to instrumentation and control, operation reliability, system aging and human-machine interfaces. The book targets a broad potential readership group - students, researchers and specialists in the field - who are interested in learning about nuclear power.

Tsvetkov, Pavel

2011-09-01T23:59:59.000Z

280

FRamework Assessing Notorious Contributing Influences for Error (FRANCIE): Perspective on Taxonomy Development to Support Error Reporting and Analysis  

Science Conference Proceedings (OSTI)

Beginning in the 1980s a primary focus of human reliability analysis was estimation of human error probabilities. However, detailed qualitative modeling with comprehensive representation of contextual variables often was lacking. This was likely due to the lack of comprehensive error and performance shaping factor taxonomies, and the limited data available on observed error rates and their relationship to specific contextual variables. In the mid 90s Boeing, America West Airlines, NASA Ames Research Center and INEEL partnered in a NASA sponsored Advanced Concepts grant to: assess the state of the art in human error analysis, identify future needs for human error analysis, and develop an approach addressing these needs. Identified needs included the need for a method to identify and prioritize task and contextual characteristics affecting human reliability. Other needs identified included developing comprehensive taxonomies to support detailed qualitative modeling and to structure meaningful data collection efforts across domains. A result was the development of the FRamework Assessing Notorious Contributing Influences for Error (FRANCIE) with a taxonomy for airline maintenance tasks. The assignment of performance shaping factors to generic errors by experts proved to be valuable to qualitative modeling. Performance shaping factors and error types from such detailed approaches can be used to structure error reporting schemes. In a recent NASA Advanced Human Support Technology grant FRANCIE was refined, and two new taxonomies for use on space missions were developed. The development, sharing, and use of error taxonomies, and the refinement of approaches for increased fidelity of qualitative modeling is offered as a means to help direct useful data collection strategies.

Lon N. Haney; David I. Gertman

2003-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Deriving Human-Error Tolerance Requirements from Tasks  

E-Print Network (OSTI)

In this paper we show how an understanding of a dynamic system from the point of view of the tasks that it supports and an understanding of human error can guide a process of deriving human error tolerance requirements. Our aim is to provide a means whereby, rather than relying on training as a means of improving operator performance, designers may develop interactive systems with human error tolerance in mind. We extend an established methodology (SHARP) by employing a software engineering notation (CSP) that provides a bridge between a theory of error and the practice of design and implementation. In this paper we outline approaches to human error, describe a task notation based on CSP which helps us to elicit requirements on human-error tolerance expressed as functional properties of the system. The technique is used to analyse an engine fire recovery procedure in order to derive human error tolerance requirements. 1 Introduction Walk-up-and-use systems, such as automated teller ma...

Peter Wright; Bob Fields; Michael Harrison

1994-01-01T23:59:59.000Z

282

Slope Error Measurement Tool for Solar Parabolic Trough Collectors: Preprint  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed an optical measurement tool for parabolic solar collectors that measures the combined errors due to absorber misalignment and reflector slope error. The combined absorber alignment and reflector slope errors are measured using a digital camera to photograph the reflected image of the absorber in the collector. Previous work using the image of the reflection of the absorber finds the reflector slope errors from the reflection of the absorber and an independent measurement of the absorber location. The accuracy of the reflector slope error measurement is thus dependent on the accuracy of the absorber location measurement. By measuring the combined reflector-absorber errors, the uncertainty in the absorber location measurement is eliminated. The related performance merit, the intercept factor, depends on the combined effects of the absorber alignment and reflector slope errors. Measuring the combined effect provides a simpler measurement and a more accurate input to the intercept factor estimate. The minimal equipment and setup required for this measurement technique make it ideal for field measurements.

Stynes, J. K.; Ihas, B.

2012-04-01T23:59:59.000Z

283

Wind Power Forecasting Error Distributions: An International Comparison; Preprint  

DOE Green Energy (OSTI)

Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

2012-09-01T23:59:59.000Z

284

Strategic Focus Areas  

NLE Websites -- All DOE Office Websites (Extended Search)

Focus Areas Lockheed Martin on behalf of Sandia National Laboratories will consider grant requests that best support the Corporation's strategic focus areas and reflect effective...

285

Error 401 on upload? | OpenEI Community  

Open Energy Info (EERE)

Error 401 on upload? Error 401 on upload? Home > Groups > Databus Hi, I get an HTTP error 401 when trying to upload data. My first thought is that this is related to the robot's credentials, but I've checked that carefully; robot is in a group with access to the table, etc. Is there something else that can cause error 401? thanks, Submitted by Hopcroft on 23 September, 2013 - 13:02 1 answer Points: 0 uploading data using the GUI (csv upload button) or uploading data using json? What type of access does the group have to the database? Try adding the robot to the group directly as well as a work around and let me know what happens(we have people using the robots but perhaps there is an issue somewhere). Is your user and your api key working at all? (your user key is in the help section System Access on your version of databus). Deanhiller

286

Representation Error of Oceanic Observations for Data Assimilation  

Science Conference Proceedings (OSTI)

A simple approach to the estimation of representation error (RE) of sea level (?), temperature (T), and salinity (S) observations for ocean data assimilation is described. It is assumed that the main source of RE is due to unresolved processes ...

Peter R. Oke; Pavel Sakov

2008-06-01T23:59:59.000Z

287

Weather Regimes and Forecast Errors in the Pacific Northwest  

Science Conference Proceedings (OSTI)

Despite overall improvements in numerical weather prediction and data assimilation, large short-term forecast errors of sea level pressure and 2-m temperature still occur. This is especially true for the west coast of North America where short-...

Lynn A. McMurdie; Joseph H. Casola

2009-06-01T23:59:59.000Z

288

Error 401 on upload? | OpenEI Community  

Open Energy Info (EERE)

Error 401 on upload? Error 401 on upload? Home > Groups > Databus Hi, I get an HTTP error 401 when trying to upload data. My first thought is that this is related to the robot's credentials, but I've checked that carefully; robot is in a group with access to the table, etc. Is there something else that can cause error 401? thanks, Submitted by Hopcroft on 23 September, 2013 - 13:02 1 answer Points: 0 uploading data using the GUI (csv upload button) or uploading data using json? What type of access does the group have to the database? Try adding the robot to the group directly as well as a work around and let me know what happens(we have people using the robots but perhaps there is an issue somewhere). Is your user and your api key working at all? (your user key is in the help section System Access on your version of databus). Deanhiller

289

US-LHC IR magnet error analysis and compensation  

SciTech Connect

This paper studies the impact of the insertion-region (IR) magnet field errors on LHC collision performance. Compensation schemes including magnet orientation optimization, body-end compensation, tuning shims, and local nonlinear correction are shown to be highly effective.

Wei, J.; Ptitsin, V.; Pilat, F.; Tepikian, S. [Brookhaven National Lab., Upton, NY (United States); Gelfand, N.; Wan, W.; Holt, J. [Fermi National Accelerator Lab., Batavia, IL (United States)

1998-08-01T23:59:59.000Z

290

Underestimating Costs in Public Works Projects: Error or Lie?  

E-Print Network (OSTI)

J. M. (1964). Errors in project cost estimates. Indian Eco-leave out important project costs and risks in order to makeclearly, comparing actual project costs with esti- mated

Flyvbjerg, Bent; Holm, Mette Skamris; Buhl, Søren

2006-01-01T23:59:59.000Z

291

A Preliminary Investigation of Temperature Errors in Operational Forecasting Models  

Science Conference Proceedings (OSTI)

Temperatures taken from model output (FOUS reports) routinely transmitted by the National Centers for Environmental Prediction are tabulated to determine errors during three months in the summer of 1996. These short-term model forecasts are ...

Frank P. Colby Jr.

1998-03-01T23:59:59.000Z

292

ATLAS Self-Siphoning Rain Gauge Error Estimates  

Science Conference Proceedings (OSTI)

This report describes sampling and error characteristics of self-siphoning rain gauges used on moored buoys designed and assembled at NOAA's Pacific Marine Environmental Laboratory (PMEL) for deployment in the tropical Pacific and Atlantic Oceans ...

Yolande L. Serra; Patrick A'Hearn; H. Paul Freitag; Michael J. McPhaden

2001-12-01T23:59:59.000Z

293

Probabilistic state estimation in regimes of nonlinear error growth  

E-Print Network (OSTI)

State estimation, or data assimilation as it is often called, is a key component of numerical weather prediction (NWP). Nearly all implementable methods of state estimation suitable for NWP are forced to assume that errors ...

Lawson, W. Gregory, 1975-

2005-01-01T23:59:59.000Z

294

Toward Estimating Climatic Trends in SST. Part II: Random Errors  

Science Conference Proceedings (OSTI)

Random observational errors for sea surface temperature (SST) are estimated using merchant ship reports from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) for the period of 1970–97. A statistical technique, semivariogram ...

Elizabeth C. Kent; Peter G. Challenor

2006-03-01T23:59:59.000Z

295

Wind Power Forecasting Error Distributions over Multiple Timescales: Preprint  

DOE Green Energy (OSTI)

In this paper, we examine the shape of the persistence model error distribution for ten different wind plants in the ERCOT system over multiple timescales. Comparisons are made between the experimental distribution shape and that of the normal distribution.

Hodge, B. M.; Milligan, M.

2011-03-01T23:59:59.000Z

296

EVAL: Utilizing processors with variation-induced timing errors  

Science Conference Proceedings (OSTI)

Parameter variation in integrated circuits causes sections of a chip to be slower than others. If, to prevent any resulting timing errors, we design processors for worst-case parameter values, we may lose substantial performance. An alternate approach ...

Smruti Sarangi; Brian Greskamp; Abhishek Tiwari; Josep Torrellas

2008-11-01T23:59:59.000Z

297

Stratospheric Analysis and Forecast Errors Using Hybrid and Sigma Coordinates  

Science Conference Proceedings (OSTI)

Past investigations have documented large divergent wind anomalies in stratospheric reanalyses over steep terrain, which were attributed to discretization errors produced by the terrain-following (sigma) vertical coordinate in the forecast model. ...

Stephen D. Eckermann; John P. McCormack; Jun Ma; Timothy F. Hogan; Katherine A. Zawdie

298

Singular Vector Calculations with an Analysis Error Variance Metric  

Science Conference Proceedings (OSTI)

Singular vectors of the navy's global forecast model are calculated using an initial norm consistent with an estimate of analysis error variance provided by the Naval Research Laboratory's (NRL) Atmospheric Variational Data Assimilation System (...

Ronald Gelaro; Thomas Rosmond; Roger Daley

2002-05-01T23:59:59.000Z

299

Annotating language errors in texts: investigating argumentation and decision schemas  

Science Conference Proceedings (OSTI)

In this short paper, we present annotations for tagging grammatical and stylistic errors, together with attributes about the nature of the correction which are then interpreted as arguments. A decision model is introduced in order for the author to be ...

Camille Albert; Laurie Buscail; Marie Garnier; Arnaud Rykner; Patrick Saint-Dizier

2009-08-01T23:59:59.000Z

300

Vertical Correlation Functions for Temperature and Relative Humidity Errors  

Science Conference Proceedings (OSTI)

This article gives the details and results of an investigation into the properties of the temperature and relative humidity errors from the Navy Operational Global Atmospheric Prediction System for a 4-month period from March to June 1998. The ...

Richard Franke; Edward Barker

2000-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Sampling Errors in Flux Measurements of Slowly Depositing Pollutants  

Science Conference Proceedings (OSTI)

Sampling errors in vertical flux measurements obtained by eddy correlation methods are investigated by specifying a jointly normal–lognormal density distribution for the vertical velocity and scalar concentration. The probability density function ...

Edward E. O'Brien

1985-07-01T23:59:59.000Z

302

Error Statistics of VPR Corrections in Stratiform Precipitation  

Science Conference Proceedings (OSTI)

Errors in surface rainfall estimates that are caused by ignoring the vertical profile of reflectivity (VPR) and range effects have been assessed by simulating how fine-resolution 3D reflectivity measurements at close ranges are sampled by the ...

Aldo Bellon; Gyu Won Lee; Isztar Zawadzki

2005-07-01T23:59:59.000Z

303

A Cautionary Note on the Use of Error Bars  

Science Conference Proceedings (OSTI)

Climate studies often involve comparisons between estimates of some parameter derived from different observed and/or model-generated datasets. It is common practice to present estimates of two or more statistical quantities with error bars about ...

John R. Lanzante

2005-09-01T23:59:59.000Z

304

An Error Analysis of Atlantic Tropical Cyclone Track Guidance Models  

Science Conference Proceedings (OSTI)

Mean track forecast errors over the 6-yr period 1983–88 are compared for four tropical cyclone-track forecast models in use at the National Hurricane Center (NHC). The model types represented are statistical, statistical-dynamical, barctropic-...

Mark Demaria; Miles B. Lawrence; James T. Kroll

1990-03-01T23:59:59.000Z

305

Some Characteristics of Time Interpolation Errors for Fluid Flows  

Science Conference Proceedings (OSTI)

The size of errors due to linear time interpolation varies parabolically with a maximum at the center of the interpolation interval in most of the cases examined here. These cases include simple situations that are analyzed analytically and ...

Ross N. Hoffman; S. Mark Leidner

2010-07-01T23:59:59.000Z

306

Correcting Errors in Streamflow Forecast Ensemble Mean and Spread  

Science Conference Proceedings (OSTI)

When hydrological models are used for probabilistic streamflow forecasting in the Ensemble Streamflow Prediction (ESP) framework, the deterministic components of the approach can lead to errors in the estimation of forecast uncertainty, as ...

Andrew W. Wood; John C. Schaake

2008-02-01T23:59:59.000Z

307

Air Temperature Measurement Errors in Naturally Ventilated Radiation Shields  

Science Conference Proceedings (OSTI)

Two sources of systematic errors are considered for estimating air temperature. The first source is ambiguity of the definition of the standardized measurement height over vegetated surfaces of varying heights. Without such a standardization, ...

Reina Nakamura; L. Mahrt

2005-07-01T23:59:59.000Z

308

Evaluating Error Propagation in Coupled Land–Atmosphere Models  

Science Conference Proceedings (OSTI)

This study examines how land-use errors from the Land Transformation Model (LTM) propagate through to climate as simulated by the Regional Atmospheric Model System (RAMS). The authors conducted five simulations of regional climate over East Africa:...

Bryan Pijanowski; Nathan Moore; Dasaraden Mauree; Dev Niyogi

2011-10-01T23:59:59.000Z

309

Measure of Diffusion Model Error for Thermal Radiation Transport  

E-Print Network (OSTI)

The diffusion approximation to the equation of transfer (Boltzmann transport equation) is usually applied to media where scattering dominates the interactions. Diffusion approximation helps in significant savings in terms of code complexity and computational time. However, this approximation often has significant error. Error due to the inherent nature of a physics model is called model error. Information about the model error associated with the diffusion approximation is clearly desirable. An indirect measure of model error is a quantity that is related in some way to the error but not equal to the error. In general, indirect measures of error are expected to be less costly than direct measures. Perhaps the most well-known indirect measure of the diffusion model error is the variable-Eddington tensor. This tensor provides a great deal of information about the angular dependence of the angular intensity solution, but it is not always simple to interpret. We define a new indirect measure of the diffusion model error called the diffusion model error source (DME source). When this DME source is added to the diffusion equation, the transport solution for the angular-integrated intensity is obtained. In contrast to the variable-Eddington tensor, our DME source is a scalar that is conceptually easy to interpret. In addition to defining the DME source analytically, we show how to generate this source numerically relative to the Sn radiative transfer equations with linear-discontinuous spatial discretization. This numerical source is computationally tested and shown to reproduce the Sn solution for a number of problems. Our radiative transfer model solves a coupled, time dependent, multi-frequency, 1-D slab equation and material heat transfer equation. We then use diffusion approximation to solve the same problem. The difference due to this approximation can be modelled by a “diffusion source”. The diffusion source is defined as an amount of inhomogeneous source that, when added to a diffusion calculation, gives a solution for the angle-integrated intensity that is equal to the transport solution.

Kumar, Akansha

2013-05-01T23:59:59.000Z

310

Alternative Formulations for Incorporating Lateral Boundary Data into Limited-Area Models  

Science Conference Proceedings (OSTI)

Limited-area models (LAMs) use higher resolutions and more advanced parameterizations of physical processes than global numerical weather prediction models, but suffer from one additional source of error—the lateral boundary condition (LBC). The ...

Martina Tudor; Piet Termonia

2010-07-01T23:59:59.000Z

311

Generalized Error Analysis for Conventional and Remote Reference Magnetotellurics  

DOE Green Energy (OSTI)

An error analysis which applies to both conventional and remote reference magnetotelluric impedance and tipper estimates is developed based on the assumption that noise in the field measurements is governed by a complex normal distribution. Under the assumed model of noise it is shown that the theoretical expressions for the variances and covariances derived recently by Gamble et al (1979b) specifically for remote reference estimates apply to conventional estimates as well. However, calculations are biased if the impedance or tipper functions are biased. The impedance and tipper functions are calculated as ratios of two random functions of noisy field measurements. The expressions for the variances and covariances account for noise in both the numerator and denominator of the estimates. They are useful provided the probability that the magnitude of the random error in the denominator exceeds the magnitude of its expected value is small. Expressions for the bias errors of the impedance and tipper functions are obtained in order to assess the relative contributions of random and bias errors to the man squared error of the estimates. The relative magnitude of both random and bias errors depends on the noise level and on the values of the sample coherencies between various pairs of the field measurements used to compute a particular estimate.

Stodt, John A.

1982-11-01T23:59:59.000Z

312

Wind Power Forecasting Error Frequency Analyses for Operational Power System Studies: Preprint  

DOE Green Energy (OSTI)

The examination of wind power forecasting errors is crucial for optimal unit commitment and economic dispatch of power systems with significant wind power penetrations. This scheduling process includes both renewable and nonrenewable generators, and the incorporation of wind power forecasts will become increasingly important as wind fleets constitute a larger portion of generation portfolios. This research considers the Western Wind and Solar Integration Study database of wind power forecasts and numerical actualizations. This database comprises more than 30,000 locations spread over the western United States, with a total wind power capacity of 960 GW. Error analyses for individual sites and for specific balancing areas are performed using the database, quantifying the fit to theoretical distributions through goodness-of-fit metrics. Insights into wind-power forecasting error distributions are established for various levels of temporal and spatial resolution, contrasts made among the frequency distribution alternatives, and recommendations put forth for harnessing the results. Empirical data are used to produce more realistic site-level forecasts than previously employed, such that higher resolution operational studies are possible. This research feeds into a larger work of renewable integration through the links wind power forecasting has with various operational issues, such as stochastic unit commitment and flexible reserve level determination.

Florita, A.; Hodge, B. M.; Milligan, M.

2012-08-01T23:59:59.000Z

313

"RSE Table C9.1. Relative Standard Errors for Table C9.1;"  

U.S. Energy Information Administration (EIA) Indexed Site

C9.1. Relative Standard Errors for Table C9.1;" C9.1. Relative Standard Errors for Table C9.1;" " Unit: Percents." " "," "," " " "," ",,,"General","Amount of ","Establishment-Paid","Activity Cost" "NAICS"," "," " "Code(a)","Energy-Management Activity","No Participation","Participation(b)","All","Some","None","Don't Know" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Participation in One or More of the Following Types of Activities",1,2,0,0,0,0 ," Energy Audits",1,3,5,6,5,7 ," Electricity Load Control",1,3,4,7,6,7

314

Areas Participating in the Reformulated Gasoline Program  

Gasoline and Diesel Fuel Update (EIA)

Reformulated Gasoline Program Reformulated Gasoline Program Contents * Introduction * Mandated RFG Program Areas o Table 1. Mandated RFG Program Areas * RFG Program Opt-In Areas o Table 2. RFG Program Opt-In Areas * RFG Program Opt-Out Procedures and Areas o Table 3. History of EPA Rulemaking on Opt-Out Procedures o Table 4. RFG Program Opt-Out Areas * State Programs o Table 5. State Reformulated Gasoline Programs * Endnotes Spreadsheets Referenced in this Article * Reformulated Gasoline Control Area Populations Related EIA Short-Term Forecast Analysis Products * Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000 * Environmental Regulations and Changes in Petroleum Refining Operations * Areas Participating in Oxygenated Gasoline Program

315

Measuring contextual fitness using error contexts extracted from the Wikipedia revision history  

Science Conference Proceedings (OSTI)

We evaluate measures of contextual fitness on the task of detecting real-word spelling errors. For that purpose, we extract naturally occurring errors and their contexts from the Wikipedia revision history. We show that such natural errors are better ...

Torsten Zesch

2012-04-01T23:59:59.000Z

316

Analysis and Reduction of Systematic Errors through a Seamless Approach to Modeling Weather and Climate  

Science Conference Proceedings (OSTI)

The reduction of systematic errors is a continuing challenge for model development. Feedbacks and compensating errors in climate models often make finding the source of a systematic error difficult. In this paper, it is shown how model ...

G. M. Martin; S. F. Milton; C. A. Senior; M. E. Brooks; S. Ineson; T. Reichler; J. Kim

2010-11-01T23:59:59.000Z

317

Estimating Model-Error Covariances for Application to Atmospheric Data Assimilation  

Science Conference Proceedings (OSTI)

Forecast-error statistics have traditionally been used to investigate model performance and to calculate analysis weights for atmospheric data assimilation. Forecast error has two components: the model error, caused by model imperfections, and ...

Roger Daley

1992-08-01T23:59:59.000Z

318

Error in Measurements of Incoming Shortwave Radiation Made from Ships and Buoys  

Science Conference Proceedings (OSTI)

Errors in shortwave solar radiation measurements resulting from mean tils and rocking motions, as well as from the response time of the sensors, are determined experimentally. The magnitude of the mean tilt error can be large and lead to errors ...

M. A. MacWhorter; R. A. Weller

1991-02-01T23:59:59.000Z

319

A Practical Approach to Sequential Estimation of Systematic Error on Near-Surface Mesoscale Grids  

Science Conference Proceedings (OSTI)

Statistical analysis arguments are used to construct an estimation algorithm for systematic error of near-surface temperatures on a mesoscale grid. The systematic error is defined as the observed running-mean error, and an averaging length of 7 ...

Joshua P. Hacker; Daran L. Rife

2007-12-01T23:59:59.000Z

320

Multi-vector tests: a path to perfect error-rate testing  

Science Conference Proceedings (OSTI)

The importance of testing approaches that exploit error tolerance to improve yield has previously been established. Error rate, defined as the percentage of vectors for which the value at a circuit's output deviates from the corresponding error-free ...

Shideh Shahidi; Sandeep Gupta

2008-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Division/ Interest Area Information  

Science Conference Proceedings (OSTI)

Learn more about Divisions and Interest areas. Division/ Interest Area Information Membership Information achievement application award Awards distinguished division Divisions fats job Join lipid lipids Member member get a member Membership memori

322

A Combined Adaptive Law for Fuzzy Iterative Learning Control of Nonlinear Systems With Varying Control Tasks  

Science Conference Proceedings (OSTI)

To deal with the iterative control of uncertain nonlinear systems with varying control tasks, nonzero initial resetting state errors, and nonrepeatable mismatched input disturbance, a new adaptive fuzzy iterative learning controller is proposed in this ... Keywords: Adaptive control, fuzzy system, iterative learning control (ILC), nonlinear systems

Chiang-Ju Chien

2008-02-01T23:59:59.000Z

323

Plenary lecture V: predictive control strategies for image based visual servoing of robot manipulators  

Science Conference Proceedings (OSTI)

There is significant motivation to provide robot manipulators with improved autonomy using image based visual servo (IBVS) control. In classical approach, an image Jacobian matrix maps image space errors into errors in Cartesian space. Then, a simple ...

Corneliu Lazar

2008-06-01T23:59:59.000Z

324

DOE Designates Southwest Area and Mid-Atlantic Area National...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors October 2, 2007 DOE Designates Southwest Area and Mid-Atlantic Area National...

325

DOE Designates Southwest Area and Mid-Atlantic Area National...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors DOE Designates Southwest Area and Mid-Atlantic Area National Interest Electric...

326

Geothermal br Resource br Area Geothermal br Resource br Area...  

Open Energy Info (EERE)

Brady Hot Springs Geothermal Area Brady Hot Springs Geothermal Area Northwest Basin and Range Geothermal Region MW K Coso Geothermal Area Coso Geothermal Area Walker Lane...

327

Errors and Artefacts in Agent-Based Modelling  

E-Print Network (OSTI)

The objectives of this paper are to define and classify different types of errors and artefacts that can appear in the process of developing an agent-based model, and to propose activities aimed at avoiding them during the model construction and testing phases. To do this in a structured way, we review the main concepts of the process of developing such a model – establishing a general framework that summarises the process of designing, implementing, and using agent-based models. Within this framework we identify the various stages where different types of errors and artefacts may appear. Finally we propose activities that could be used to detect (and hence eliminate) each type of error or artefact.

José Manuel Galán; Luis R. Izquierdo; Segismundo S. Izquierdo; José Ignacio Santos; Ricardo Del Olmo; Adolfo López-Paredes; Bruce Edmonds

2009-01-01T23:59:59.000Z

328

Meta Modeling of Transmission Error for Spur, Helical and Planetary Gears for Wind Turbine Application.  

E-Print Network (OSTI)

??Detailed analysis of drive train dynamics requires accounting for the transmission error that arises in gears. However, the direct computation of the transmission error requires… (more)

Irfan, Muhammad

2013-01-01T23:59:59.000Z

329

T-573: Windows Remote Desktop Client DLL Loading Error Lets Remote...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

73: Windows Remote Desktop Client DLL Loading Error Lets Remote Users Execute Arbitrary Code T-573: Windows Remote Desktop Client DLL Loading Error Lets Remote Users Execute...

330

JLab SRF Cavity Fabrication Errors, Consequences and Lessons Learned  

Science Conference Proceedings (OSTI)

Today, elliptical superconducting RF (SRF) cavities are preferably made from deep-drawn niobium sheets as pursued at Jefferson Laboratory (JLab). The fabrication of a cavity incorporates various cavity cell machining, trimming and electron beam welding (EBW) steps as well as surface chemistry that add to forming errors creating geometrical deviations of the cavity shape from its design. An analysis of in-house built cavities over the last years revealed significant errors in cavity production. Past fabrication flaws are described and lessons learned applied successfully to the most recent in-house series production of multi-cell cavities.

Frank Marhauser

2011-09-01T23:59:59.000Z

331

Laser Phase Errors in Seeded Free Electron Lasers  

SciTech Connect

Harmonic seeding of free electron lasers has attracted significant attention as a method for producing transform-limited pulses in the soft x-ray region. Harmonic multiplication schemes extend seeding to shorter wavelengths, but also amplify the spectral phase errors of the initial seed laser, and may degrade the pulse quality and impede production of transform-limited pulses. In this paper we consider the effect of seed laser phase errors in high gain harmonic generation and echo-enabled harmonic generation. We use simulations to confirm analytical results for the case of linearly chirped seed lasers, and extend the results for arbitrary seed laser envelope and phase.

Ratner, D.; Fry, A.; Stupakov, G.; White, W.; /SLAC

2012-04-17T23:59:59.000Z

332

Composite Toffoli gate with two-round error detection  

E-Print Network (OSTI)

We introduce a fault-tolerant construction to implement a composite quantum operation of four overlapping Toffoli gates. The same construction can produce two independent Toffoli gates. This result lowers resource overheads in designs for quantum computers by more than an order of magnitude. The procedure uses Clifford operations and 64 copies of the non-Clifford gate $T = \\exp[i \\pi (I - \\sigma^z) /8]$. Quantum codes detect errors in the circuit. When the dominant source of error is $T$-gate failure with probability $p$, then the composite Toffoli circuit has postselected failure rate of $3072p^4$ to lowest order.

Cody Jones

2013-03-27T23:59:59.000Z

333

ACCESS CONTROL  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

TERMS/DEFINITIONS FROM DOE M 470.4-7 TERMS/DEFINITIONS FROM DOE M 470.4-7 ACCESS CONTROL. The process of permitting access or denying access to information, facilities, nuclear materials, resources, or designated security areas. ACCESS CONTROL MEASURES. Hardware and software features, physical controls, operating procedures, administrative procedures, and various combinations of these designed to detect or prevent unauthorized access to classified information; special nuclear materials; Government property; automated information systems, facilities, or materials; or areas containing the above and to enforce use of these measures to protect Departmental security and property interests. CRITICAL PATH SCENARIO. An adversary-based scenario that is generated during the conduct of a vulnerability assessment and accounts for adversary tactics that

334

Western Area Power Administration. Combined power system financial statements  

Science Conference Proceedings (OSTI)

This report presents the results of the independent certified public accountants` audit of the Western Area Power Administration`s combined power system statements of assets, Federal investment and liabilities, and the related combined statements of revenues, expenses and accumulated net revenues, and cash flows. The auditors` report on Westerns internal control structure disclosed three new reportable conditions concerning the lack of: (1) a reconciliation of stores inventory from subsidiary ledgers to summary financial information, (2) communication of interest during construction and related adjustments to interest on Federal investment, and (3) a system to prevent and detect power billing errors. None of the conditions were considered to be material weaknesses. Western provided concurrence and corrective action plans. The auditors` report on Western`s compliance with laws and regulations also disclosed two new instances of noncompliance. Western failed to calculate nonreimbursable expenses in accordance with the Grand Canyon Protection Act and had an unexplained difference in gross Federal investment balances used to calculate interest on Federal investment. Western provided concurrence and corrective action plans for the instances.

NONE

1998-02-26T23:59:59.000Z

335

Automated Source-Level Error Localization in Hardware Designs  

Science Conference Proceedings (OSTI)

Recent achievements in formal verification techniques allow for fault detection even in large real-world designs. Tool support for localizing the faulty statements is critical, because it reduces development time and overall project costs. Automated ... Keywords: design error diagnosis, software debugging, model-based diagnosis, fault localization

Bernhard Peischl; Franz Wotawa

2006-01-01T23:59:59.000Z

336

DISPERSION AND DISSIPATION ERRORS OF TWO FULLY DISCRETE DISCONTINUOUS GALERKIN  

E-Print Network (OSTI)

-dimensional Euler equations in gas dynamics. There has been abundant study on the dispersion analysis of many nuDISPERSION AND DISSIPATION ERRORS OF TWO FULLY DISCRETE DISCONTINUOUS GALERKIN METHODS HE YANG, FENGYAN LI, AND JIANXIAN QIU Abstract. The dispersion and dissipation properties of numerical meth- ods

Li, Fengyan

337

Evaluate error sources and uncertainty in large scale measurement systems  

Science Conference Proceedings (OSTI)

Modern manufacturing technologies place increasingly higher demands on industrial measurement systems. Over the last decade there have been rapid developments in 3D measurement systems, with the primary requirement coming from industries such as automotives, ... Keywords: Best fit methods, Laser scanner, Measurement errors, Uncertainty

Qing Wang; Nick Zissler; Roger Holden

2013-02-01T23:59:59.000Z

338

Jackknife empirical likelihood tests for error distributions in regression models  

Science Conference Proceedings (OSTI)

Regression models are commonly used to model the relationship between responses and covariates. For testing the error distribution, some classical test statistics such as Kolmogorov-Smirnov test and Cramer-von-Mises test suffer from the complicated limiting ... Keywords: Goodness-of-fit test, Jackknife empirical Likelihood method, Regression model, primary

Huijun Feng; Liang Peng

2012-11-01T23:59:59.000Z

339

An algorithm for recovering camouflage errors on moving people  

Science Conference Proceedings (OSTI)

In this paper we present a model-based algorithm working as a post-processing phase of any foreground object detector. The model is suited to recover camouflage errors producing the segmentation of an entity in small and unconnected parts. The model ...

D. Conte; P. Foggia; G. Percannella; F. Tufano; M. Vento

2010-08-01T23:59:59.000Z

340

Error mining for wide-coverage grammar engineering  

Science Conference Proceedings (OSTI)

Parsing systems which rely on hand-coded linguistic descriptions can only perform adequately in as far as these descriptions are correct and complete.The paper describes an error mining technique to discover problems in hand-coded linguistic descriptions ...

Gertjan van Noord

2004-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Testing and Error Analysis of Acceleration of Rotating Transformer  

Science Conference Proceedings (OSTI)

From the working principle of rotary transformers, the paper in-depth analyses the relationship between output voltage and rotor angle as well as speed. By using the method of series expansion and discrete, angular acceleration formula which is used ... Keywords: Rotating Transformer, Acceleration, Error of Measurement, slip frequency

Lu Xiuhe; Xue Peng

2010-07-01T23:59:59.000Z

342

Counter example-based error localization of behavior models  

Science Conference Proceedings (OSTI)

Behavior models are often used to describe behaviors of the system-to-be during requirements analysis or design phases. The correctness of the specified model can be formally verified by model checking techniques. Model checkers provide counterexamples ... Keywords: design, error localization, model checking, requirements analysis

Tsutomu Kumazawa; Tetsuo Tamai

2011-04-01T23:59:59.000Z

343

A JVM for soft-error-prone embedded systems  

Science Conference Proceedings (OSTI)

The reduction of structure sizes in microcontollers, environmental conditions or low supply voltages increase the susceptibility of embedded systems to soft errors. As a result, the employment of fault-detection and fault-tolerance measures is becoming ... Keywords: KESO, RTSJ, embedded systems, java, real-time systems, reliability

Isabella Stilkerich, Michael Strotz, Christoph Erhardt, Martin Hoffmann, Daniel Lohmann, Fabian Scheler, Wolfgang Schröder-Preikschat

2013-06-01T23:59:59.000Z

344

On the Pressure Gradient Force Error in ?-Coordinate Spectral Models  

Science Conference Proceedings (OSTI)

The pressure gradient force error of the spectral technique used in combination with the ? vertical coordinate was examined in an idealized case of an atmosphere at rest and in hydrostatic equilibrium. Small-scale (one-point and three-point) ...

Zavis?a I. Janji?

1989-10-01T23:59:59.000Z

345

Verification of unfold error estimates in the unfold operator code  

SciTech Connect

Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

Fehl, D.L.; Biggs, F. [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)] [Sandia National Laboratories, Albuquerque, New Mexico 87185 (United States)

1997-01-01T23:59:59.000Z

346

Error computation for predictable real-time software synthesis  

Science Conference Proceedings (OSTI)

Synthesizing an implementation from a model in a predictable way is one of the major challenges in real-time system design. In our previous work we addressed this problem by generating in real-time an execution path through a model and by synchronizing ... Keywords: error computation, predictable design, property prediction, real-time systems

Jeroen Voeten; Oana Florescu; Jinfeng Huang; Henk Corporaal

2011-04-01T23:59:59.000Z

347

Note: Statistical errors estimation for Thomson scattering diagnostics  

SciTech Connect

A practical way of estimating statistical errors of a Thomson scattering diagnostic measuring plasma electron temperature and density is described. Analytically derived expressions are successfully tested with Monte Carlo simulations and implemented in an automatic data processing code of the JET LIDAR diagnostic.

Maslov, M.; Beurskens, M. N. A.; Flanagan, J.; Kempenaars, M. [EURATOM-CCFE Fusion Association, Culham Science Centre, Abingdon, Oxon OX14 3DB (United Kingdom); Collaboration: JET-EFDA Contributors

2012-09-15T23:59:59.000Z

348

Naval applications study areas  

SciTech Connect

This memorandum discusses study areas and items that will require attention for the naval studies of the utilization of nuclear propulsion in a submarine-based missile system.

Hadley, J. W.

1962-06-20T23:59:59.000Z

349

Boulder Area Transportation  

Science Conference Proceedings (OSTI)

... NIST does not endorse or guarantee the quality or services provided by these businesses. All Denver/Boulder area transportation companies. ...

2011-11-16T23:59:59.000Z

350

NIST Aperture area measurements  

Science Conference Proceedings (OSTI)

... particularly critical, for example, in climate and weather applications on ... of aperture areas used in exo-atmospheric solar irradiance measurements; ...

2011-11-03T23:59:59.000Z

351

Mercury Vapor At Medicine Lake Area (Kooten, 1987) | Open Energy  

Open Energy Info (EERE)

Kooten, 1987) Kooten, 1987) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Mercury Vapor At Medicine Lake Area (Kooten, 1987) Exploration Activity Details Location Medicine Lake Area Exploration Technique Mercury Vapor Activity Date Usefulness could be useful with more improvements DOE-funding Unknown References Gerald K. Van Kooten (1987) Geothermal Exploration Using Surface Mercury Geochemistry Retrieved from "http://en.openei.org/w/index.php?title=Mercury_Vapor_At_Medicine_Lake_Area_(Kooten,_1987)&oldid=386431" Category: Exploration Activities What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation:

352

Hierarchical decoding of double error correcting codes for high speed reliable memories  

Science Conference Proceedings (OSTI)

As the technology moves into the nano-realm, traditional single-error-correcting, double-error-detecting (SEC-DED) codes are no longer sufficient for protecting memories against transient errors due to the increased multi-bit error rate. The well known ...

Zhen Wang

2013-05-01T23:59:59.000Z

353

B-spline goal-oriented error estimators for geometrically nonlinear rods  

Science Conference Proceedings (OSTI)

We consider goal-oriented a posteriori error estimators for the evaluation of the errors on quantities of interest associated with the solution of geometrically nonlinear curved elastic rods. For the numerical solution of these nonlinear one-dimensional ... Keywords: B-spline basis, Error estimators, Geometrically nonlinear rods, Goal-oriented a posteriori error estimation, Isogeometric analysis

L. Dedè; H. A. Santos

2012-01-01T23:59:59.000Z

354

PROPANE: an environment for examining the propagation of errors in software  

Science Conference Proceedings (OSTI)

In order to produce reliable software, it is important to have knowledge on how faults and errors may affect the software. In particular, designing efficient error detection mechanisms requires not only knowledge on which types of errors to detect but ... Keywords: error propagation analysis, fault injection, software development tools, software reliability

Martin Hiller; Arshad Jhumka; Neeraj Suri

2002-07-01T23:59:59.000Z

355

Cue effectiveness in mitigating postcompletion errors in a routine procedural task  

Science Conference Proceedings (OSTI)

Postcompletion errors, which are omissions of actions required after the completion of a task's main goal, occur in a variety of everyday procedural tasks. Previous research has demonstrated the difficulty of reducing their frequency by means other than ... Keywords: ACT-R, Cognitive architecture, Error intervention, Error mitigation, Goal memory, Human error, Interface design, Modeling, Postcompletion error, Routine procedural task, Visual attention, Visual cue, Visual salience

Phillip H. Chung; Michael D. Byrne

2008-04-01T23:59:59.000Z

356

Figure 2. Above ground woody biomass across a gradient of forest degradation in Central Kalimantan, Indonesia. Mean and one standard error given by connected bars, one standard  

E-Print Network (OSTI)

, Indonesia. Mean and one standard error given by connected bars, one standard deviation given by outer in 51 subsampled plots at 17 locations in Central Kalimantan, Indonesia in July and August 2009 across, Indonesia . From left to right intact forest , advanced regrowth, degraded area with some regrowth

357

Effects of Coarsely Resolved and Temporally Interpolated Lateral Boundary Conditions on the Dispersion of Limited-Area Ensemble Forecasts  

Science Conference Proceedings (OSTI)

This work examines the impact of coarsely resolved and temporally interpolated lateral boundary conditions (LBCs) on the dispersion of limited-area-model (LAM) ensemble forecasts. An expression is developed that links error variance spectra to ...

Paul Nutter; David Stensrud; Ming Xue

2004-10-01T23:59:59.000Z

358

Human Errors as an Invaluable Source for Experienced Decision Making  

E-Print Network (OSTI)

: In this paper the traditional paradigm for learning and training of operators in complex systems is discussed and criticised. There is a strong influence (the doctrine of 'mental logic') coming from research carried out in artificial intelligence. The most well known arguments against the artificial intelligence approach are presented and discussed in relation to expertise, intuition and implicit knowledge. The importance of faults and errors are discussed to describe expertise, and how knowledge about unsuccessful behaviour influences the actual decision making process of experts. 1. Introduction In this paper we will discuss the importance of learning from unsuccessful behaviour. What percentage of unanticipated events (e.g., accidents) is caused by human error? This is a question that vexed researchers for years in the context of human interaction with complex systems. In general, incident surveys in a variety of industries attribute high percentages of critical events to ...

Matthias Rauterberg; Roger Aeppli

1996-01-01T23:59:59.000Z

359

Comparison of Wind Power and Load Forecasting Error Distributions: Preprint  

DOE Green Energy (OSTI)

The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

2012-07-01T23:59:59.000Z

360

Fueling area site assessment  

SciTech Connect

This report provides results of a Site Assessment performed at the Fuel Storage Area at Buckley ANG Base in Aurora, Colorado. Buckley ANG Base occupies 3,328 acres of land within the City of Aurora in Arapahoe County, Colorado. The Fuel Storage Area (also known as the Fueling Area) is located on the west side of the Base at the intersection of South Powderhorn Street and East Breckenridge Avenue. The Fueling Area consists of above ground storage tanks in a bermed area, pumps, piping, valves, an unloading stand and a fill stand. Jet fuel from the Fueling Area is used to support aircraft operations at the Base. Jet fuel is stored in two 200,000 gallon above ground storage tanks. Fuel is received in tanker trucks at the unloading stand located south and east of the storage tanks. Fuel required for aircraft fueling and other use is transferred into tanker trucks at the fill stand and transported to various points on the Base. The Fuel Storage Area has been in operation for over 20 years and handles approximately 7 million gallons of jet fuel annually.

1996-08-15T23:59:59.000Z

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Magic Reservoir Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Magic Reservoir Geothermal Area Magic Reservoir Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Magic Reservoir Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.32833333,"lon":-114.3983333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

362

Mcgee Mountain Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Mcgee Mountain Geothermal Area Mcgee Mountain Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Mcgee Mountain Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (2) 9 Exploration Activities (7) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.8,"lon":-118.87,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

363

Astor Pass Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Astor Pass Geothermal Area Astor Pass Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Astor Pass Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (1) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.352110729808,"lon":-118.48461985588,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

364

South Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

South Geothermal Area South Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: South Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":66.15,"lon":-157.1166667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

365

Boiling Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Boiling Springs Geothermal Area Boiling Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Boiling Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.3641,"lon":-115.856,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

366

Geysers Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Geysers Geothermal Area Geysers Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Geysers Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Heat Source 8 Geofluid Geochemistry 9 NEPA-Related Analyses (2) 10 Exploration Activities (22) 11 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.8,"lon":-122.8,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

367

Banbury Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Banbury Geothermal Area Banbury Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Banbury Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.688,"lon":-114.8256,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

368

Weiser Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Weiser Geothermal Area Weiser Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Weiser Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (1) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.29833333,"lon":-117.0483333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

369

Tungsten Mountain Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Tungsten Mountain Geothermal Area Tungsten Mountain Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Tungsten Mountain Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (4) 9 Exploration Activities (4) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.6751,"lon":-117.6945,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

370

Colado Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Colado Geothermal Area Colado Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Colado Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (8) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.23,"lon":-118.37,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

371

Moana Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Moana Geothermal Area Moana Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Moana Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.495,"lon":-119.815,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

372

Kilo Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Kilo Geothermal Area Kilo Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Kilo Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65.8101865,"lon":-151.2360627,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

373

Sierra Valley Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Sierra Valley Geothermal Area Sierra Valley Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Sierra Valley Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (1) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.71166667,"lon":-120.3216667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

374

Wendel Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Wendel Geothermal Area Wendel Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Wendel Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.35734979,"lon":-120.2549785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

375

Crane Creek Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Crane Creek Geothermal Area Crane Creek Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Crane Creek Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (1) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.3064,"lon":-116.7447,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

376

Mother Goose Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Mother Goose Geothermal Area Mother Goose Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Mother Goose Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":57.18,"lon":-157.0183,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

377

Fireball Ridge Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Fireball Ridge Geothermal Area Fireball Ridge Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Fireball Ridge Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.92,"lon":-119.07,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

378

Newcastle Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Newcastle Geothermal Area Newcastle Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Newcastle Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.66166667,"lon":-113.5616667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

379

Klamath Falls Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Klamath Falls Geothermal Area Klamath Falls Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Klamath Falls Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (1) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.23333333,"lon":-121.7666667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

380

Clear Creek Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Geothermal Area Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Clear Creek Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":64.85,"lon":-162.3,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Heber Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Heber Geothermal Area Heber Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Heber Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Heat Source 8 Geofluid Geochemistry 9 NEPA-Related Analyses (0) 10 Exploration Activities (2) 11 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.71666667,"lon":-115.5283333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

382

South Brawley Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

South Brawley Geothermal Area South Brawley Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: South Brawley Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.90607,"lon":-115.54,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

383

Medicine Lake Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Medicine Lake Geothermal Area Medicine Lake Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Medicine Lake Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (1) 9 Exploration Activities (9) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.57,"lon":-121.57,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

384

Fernley Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Fernley Geothermal Area Fernley Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Fernley Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.598803,"lon":-119.110415,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

385

Lakeview Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Lakeview Geothermal Area Lakeview Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Lakeview Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.2,"lon":-120.36,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

386

Drum Mountain Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Drum Mountain Geothermal Area Drum Mountain Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Drum Mountain Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (2) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.544722222222,"lon":-112.91611111111,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

387

The Needles Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

The Needles Geothermal Area The Needles Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: The Needles Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (15) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.15,"lon":-119.68,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

388

Mt Signal Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Signal Geothermal Area Signal Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Mt Signal Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.65,"lon":-115.71,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

389

Carson River Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

River Geothermal Area River Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Carson River Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.77,"lon":-119.715,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

390

Harney Lake Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Lake Geothermal Area Lake Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Harney Lake Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.18166667,"lon":-119.0533333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

391

Maazama Well Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Maazama Well Geothermal Area Maazama Well Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Maazama Well Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.8965,"lon":-121.9865,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

392

False Pass Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

False Pass Geothermal Area False Pass Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: False Pass Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":54.93,"lon":-163.24,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

393

Okpilak Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Okpilak Springs Geothermal Area Okpilak Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Okpilak Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":69.3,"lon":-144.0333333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

394

Hot Pot Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Hot Pot Geothermal Area Hot Pot Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Hot Pot Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (6) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.922,"lon":-117.108,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

395

Stillwater Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Stillwater Geothermal Area Stillwater Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Stillwater Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (3) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.51666667,"lon":-118.5516667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

396

Willow Well Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Well Geothermal Area Well Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Willow Well Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":61.6417,"lon":-150.095,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

397

Akutan Fumaroles Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Akutan Fumaroles Geothermal Area Akutan Fumaroles Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Akutan Fumaroles Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (7) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":54.1469,"lon":-165.9078,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

398

Fallon Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Fallon Geothermal Area Fallon Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Fallon Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (1) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.38,"lon":-118.65,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

399

Randsburg Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Randsburg Geothermal Area Randsburg Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Randsburg Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.38333333,"lon":-117.5333333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

400

Kwiniuk Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Kwiniuk Geothermal Area Kwiniuk Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Kwiniuk Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":64.70787,"lon":-162.46488,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Worswick Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Worswick Geothermal Area Worswick Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Worswick Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.5636,"lon":-114.7986,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

402

Radio Towers Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Radio Towers Geothermal Area Radio Towers Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Radio Towers Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.03666667,"lon":-115.4566667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

403

Newberry Caldera Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Newberry Caldera Geothermal Area Newberry Caldera Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Newberry Caldera Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (2) 9 Exploration Activities (18) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.71666667,"lon":-121.2333333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

404

Serpentine Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Serpentine Springs Geothermal Area Serpentine Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Serpentine Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65.85703165,"lon":-164.7097211,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

405

North Brawley Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

North Brawley Geothermal Area North Brawley Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: North Brawley Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.0153,"lon":-115.5153,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

406

Canby Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Canby Geothermal Area Canby Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Canby Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.438,"lon":-120.8676,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

407

Mcleod 88 Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Mcleod 88 Geothermal Area Mcleod 88 Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Mcleod 88 Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.028,"lon":-117.136,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

408

Mitchell Butte Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Mitchell Butte Geothermal Area Mitchell Butte Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Mitchell Butte Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.763,"lon":-117.156,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

409

Circle Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Circle Geothermal Area Circle Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Circle Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65.48236057,"lon":-144.6372556,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

410

Patua Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Patua Geothermal Area Patua Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Patua Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (11) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.598611111111,"lon":-119.215,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

411

Ophir Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Ophir Geothermal Area Ophir Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Ophir Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":61.1925,"lon":-159.8589,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

412

Hawthorne Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Hawthorne Geothermal Area Hawthorne Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Hawthorne Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (9) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.53,"lon":-118.65,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

413

Manley Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Manley Geothermal Area Manley Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Manley Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65,"lon":-150.633333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

414

Routt Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Routt Geothermal Area Routt Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Routt Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.56,"lon":-106.85,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

415

Paso Robles Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Geothermal Area Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Paso Robles Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.657,"lon":-120.6945,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

416

Emmons Lake Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Lake Geothermal Area Lake Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Emmons Lake Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.3333,"lon":-162.14,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

417

Dulbi Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Dulbi Geothermal Area Dulbi Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Dulbi Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65.2667,"lon":-155.2667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

418

Mcdermitt Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Mcdermitt Geothermal Area Mcdermitt Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Mcdermitt Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.08092,"lon":-117.75895,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

419

Cherry Creek Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Cherry Creek Geothermal Area Cherry Creek Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Cherry Creek Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.85,"lon":-114.905,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

420

Kanuti Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Kanuti Geothermal Area Kanuti Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Kanuti Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":66.3425,"lon":-150.846,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

East Brawley Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

East Brawley Geothermal Area East Brawley Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: East Brawley Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (1) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.99,"lon":-115.35,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

422

Butte Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Springs Geothermal Area Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Butte Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.771138,"lon":-119.114138,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

423

Emigrant Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Emigrant Geothermal Area Emigrant Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Emigrant Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.86,"lon":-117.87,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

424

Milky River Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Milky River Geothermal Area Milky River Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Milky River Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":52.32,"lon":-174.1472,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

425

Dunes Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Dunes Geothermal Area Dunes Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Dunes Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (1) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.80333333,"lon":-115.0133333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

426

Black Warrior Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Black Warrior Geothermal Area Black Warrior Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Black Warrior Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (8) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.9,"lon":-119.22,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

427

Idaho Bath Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Bath Geothermal Area Bath Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Idaho Bath Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.7211,"lon":-115.0144,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

428

Shakes Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Shakes Springs Geothermal Area Shakes Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Shakes Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":56.71765648,"lon":-132.0025034,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

429

Adak Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Adak Geothermal Area Adak Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Adak Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.975,"lon":-176.616,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

430

Clark Ranch Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Ranch Geothermal Area Ranch Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Clark Ranch Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.8569,"lon":-118.5453,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

431

Fort Bidwell Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Fort Bidwell Geothermal Area Fort Bidwell Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Fort Bidwell Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (2) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.8617,"lon":-120.1592,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

432

Silver Peak Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Silver Peak Geothermal Area Silver Peak Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Silver Peak Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (5) 9 Exploration Activities (26) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.746167220142,"lon":-117.60267734528,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

433

Geyser Bight Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Geyser Bight Geothermal Area Geyser Bight Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Geyser Bight Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (2) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.21666667,"lon":-168.4666667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

434

Reese River Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Reese River Geothermal Area Reese River Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Reese River Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (3) 9 Exploration Activities (10) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.89,"lon":-117.14,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

435

Tolovana Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Tolovana Geothermal Area Tolovana Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Tolovana Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65.2728,"lon":-148.851,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

436

Cove Fort Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Cove Fort Geothermal Area Cove Fort Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Cove Fort Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (2) 9 Exploration Activities (30) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.6,"lon":-112.55,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

437

Lava Creek Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Lava Creek Geothermal Area Lava Creek Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Lava Creek Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":65.2283,"lon":-162.894,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

438

Riverside Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Riverside Geothermal Area Riverside Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Riverside Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.46666667,"lon":-118.1883333,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

439

Desert Peak Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Desert Peak Geothermal Area Desert Peak Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Desert Peak Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (3) 9 Exploration Activities (8) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.75,"lon":-118.95,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

440

area | OpenEI  

Open Energy Info (EERE)

area area Dataset Summary Description These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (United States) as processed for use in the IMAGE model. The high resolution datasets were produced by the National Renewable Energy Laboratory (United States), Risø DTU National Laboratory (Denmark), the National Institute for Space Research (Brazil), and the Canadian Wind Energy Association. The data repr Source National Renewable Energy Laboratory Date Released Unknown Date Updated Unknown Keywords area capacity clean energy international National Renewable Energy Laboratory

Note: This page contains sample records for the topic "area control error" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Table 2b. Relative Standard Errors for Electricity Consumption and  

U.S. Energy Information Administration (EIA) Indexed Site

2b. Relative Standard Errors for Electricity 2b. Relative Standard Errors for Electricity Table 2b. Relative Standard Errors for Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and Vacant Floorspace, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption (trillion Btu) Electricity Intensities (thousand Btu) In Total Floor- space In Occupied Floor- space In Vacant Floor- space Per Square Foot Per Occupied Square Foot Per Vacant Square Foot All Buildings 4 5 5 9 4 4 4 Building Floorspace (Square Feet) 1,001 to 5,000 5 6 6 12 6 6 9 5,001 to 10,000 4 9 9 13 9 9 9 10,001 to 25,000 5 7 7 14 5 5 7 25,001 to 50,000 7 10 10 21 10 10 11 50,001 to 100,000 7 12 12 15 8 8 10 100,001 to 200,000 9 13 13 24 10 11 10 200,001 to 500,000 10 13 13 19 11 11 10 Over 500,000 26 18 18 34

442

Numerical study of error propagation in Monte Carlo depletion simulations  

Science Conference Proceedings (OSTI)

Improving computer technology and the desire to more accurately model the heterogeneity of the nuclear reactor environment have made the use of Monte Carlo depletion codes more attractive in recent years, and feasible (if not practical) even for 3-D depletion simulation. However, in this case statistical uncertainty is combined with error propagating through the calculation from previous steps. In an effort to understand this error propagation, a numerical study was undertaken to model and track individual fuel pins in four 17 x 17 PWR fuel assemblies. By changing the code's initial random number seed, the data produced by a series of 19 replica runs was used to investigate the true and apparent variance in k{sub eff}, pin powers, and number densities of several isotopes. While this study does not intend to develop a predictive model for error propagation, it is hoped that its results can help to identify some common regularities in the behavior of uncertainty in several key parameters. (authors)

Wyant, T.; Petrovic, B. [Nuclear and Radiological Engineering, Georgia Inst. of Technology, 770 State Street, Atlanta, GA 30332-0745 (United States)

2012-07-01T23:59:59.000Z

443

Geographic Area Month  

Gasoline and Diesel Fuel Update (EIA)

Fuels by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month No. 1 Distillate No. 2 Distillate a No. 4 Fuel b Sales to End Users Sales for...

444

3. Producing Areas  

U.S. Energy Information Administration (EIA)

The OCS area provides surplus capacity to meet major seasonal swings in the lower 48 States gas requirements. The ... Jun-86 9,878 17,706 1,460 19,166 9,288 51.5

445

Western Area Power Administration  

NLE Websites -- All DOE Office Websites (Extended Search)

Loveland Area Projects November 29-30, 2011 2 Agenda * Overview of Western Area Power Administration * Post-1989 Loveland Area Projects (LAP) Marketing Plan * Energy Planning and Management Program * Development of the 2025 PMI Proposal * 2025 PMI Proposal * 2025 PMI Comment Period & Proposal Information * Questions 3 Overview of Western Area Power Administration (Western) * One of four power marketing administrations within the Department of Energy * Mission: Market and deliver reliable, renewable, cost-based Federal hydroelectric power and related services within a 15-state region of the central and western U.S. * Vision: Provide premier power marketing and transmission services Rocky Mountain Region (RMR) is one of five regional offices 4 Rocky Mountain Region

446

300 AREA URANIUM CONTAMINATION  

SciTech Connect

{sm_bullet} Uranium fuel production {sm_bullet} Test reactor and separations experiments {sm_bullet} Animal and radiobiology experiments conducted at the. 331 Laboratory Complex {sm_bullet} .Deactivation, decontamination, decommissioning,. and demolition of 300 Area facilities

BORGHESE JV

2009-07-02T23:59:59.000Z

447

Decontamination & decommissioning focus area  

Science Conference Proceedings (OSTI)

In January 1994, the US Department of Energy Office of Environmental Management (DOE EM) formally introduced its new approach to managing DOE`s environmental research and technology development activities. The goal of the new approach is to conduct research and development in critical areas of interest to DOE, utilizing the best talent in the Department and in the national science community. To facilitate this solutions-oriented approach, the Office of Science and Technology (EM-50, formerly the Office of Technology Development) formed five Focus AReas to stimulate the required basic research, development, and demonstration efforts to seek new, innovative cleanup methods. In February 1995, EM-50 selected the DOE Morgantown Energy Technology Center (METC) to lead implementation of one of these Focus Areas: the Decontamination and Decommissioning (D & D) Focus Area.

NONE

1996-08-01T23:59:59.000Z

448

APS Area Emergency Supervisors  

NLE Websites -- All DOE Office Websites (Extended Search)

Area Emergency Supervisors BUILDING AES AAES 400-EAA Raul Mascote Debra Eriksen-Bubulka 400-A (SPX) Tim Jonasson 400-Sectors 25-30 Reggie Gilmore 401-CLO Steve Downey Ed Russell...

449

Chocolate Mountains Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Chocolate Mountains Geothermal Area Chocolate Mountains Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Chocolate Mountains Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (6) 10 References Map: Chocolate Mountains Geothermal Area Chocolate Mountains Geothermal Area Location Map Area Overview Geothermal Area Profile Location: California Exploration Region: Gulf of California Rift Zone GEA Development Phase: Phase II - Resource Exploration and Confirmation Coordinates: 33.352°, -115.353° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.352,"lon":-115.353,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

450

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

Science Conference Proceedings (OSTI)

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

451

Radiological Control Technician Training  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Documentation Documentation ............................................................................2.01-1 Module 2.02 Communication Systems ..................................................................................2.02-1 Module 2.03 Counting Errors and Statistics ..........................................................................2.03-1 Module 2.04 Dosimetry .........................................................................................................2.04-1 Module 2.05 Contamination Control .....................................................................................2.05-1 Module 2.06 Airborne Sampling Program/Methods .............................................................2.06-1 Module 2.07 Respiratory Protection ......................................................................................2.07-1

452

Radiological Control Technician Training  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Documentation ............................................................................2.01-1 Documentation ............................................................................2.01-1 Module 2.02 Communication Systems ..................................................................................2.02-1 Module 2.03 Counting Errors and Statistics ..........................................................................2.03-1 Module 2.04 Dosimetry .........................................................................................................2.04-1 Module 2.05 Contamination Control .....................................................................................2.05-1 Module 2.06 Airborne Sampling Program/Methods .............................................................2.06-1 Module 2.07 Respiratory Protection ......................................................................................2.07-1

453

Performance Analysis: Work Control Events Identified January - August 2010  

Science Conference Proceedings (OSTI)

This performance analysis evaluated 24 events that occurred at LLNL from January through August 2010. The analysis identified areas of potential work control process and/or implementation weaknesses and several common underlying causes. Human performance improvement and safety culture factors were part of the causal analysis of each event and were analyzed. The collective significance of all events in 2010, as measured by the occurrence reporting significance category and by the proportion of events that have been reported to the DOE ORPS under the ''management concerns'' reporting criteria, does not appear to have increased in 2010. The frequency of reporting in each of the significance categories has not changed in 2010 compared to the previous four years. There is no change indicating a trend in the significance category and there has been no increase in the proportion of occurrences reported in the higher significance category. Also, the frequency of events, 42 events reported through August 2010, is not greater than in previous years and is below the average of 63 occurrences per year at LLNL since 2006. Over the previous four years, an average of 43% of the LLNL's reported occurrences have been reported as either ''management concerns'' or ''near misses.'' In 2010, 29% of the occurrences have been reported as ''management concerns'' or ''near misses.'' This rate indicates that LLNL is now reporting fewer ''management concern'' and ''near miss'' occurrences compared to the previous four years. From 2008 to the present, LLNL senior management has undertaken a series of initiatives to strengthen the work planning and control system with the primary objective to improve worker safety. In 2008, the LLNL Deputy Director established the Work Control Integrated Project Team to develop the core requirements and graded elements of an institutional work planning and control system. By the end of that year this system was documented and implementation had begun. In 2009, training of the workforce began and as of the time of this report more than 50% of authorized Integration Work Sheets (IWS) use the activity-based planning process. In 2010, LSO independently reviewed the work planning and control process and confirmed to the Laboratory that the Integrated Safety Management (ISM) System was implemented. LLNL conducted a cross-directorate management self-assessment of work planning and control and is developing actions to respond to the issues identified. Ongoing efforts to strengthen the work planning and control process and to improve the quality of LLNL work packages are in progress: completion of remaining actions in response to the 2009 DOE Office of Health, Safety, and Security (HSS) evaluation of LLNL's ISM System; scheduling more than 14 work planning and control self-assessments in FY11; continuing to align subcontractor work control with the Institutional work planning and control system; and continuing to maintain the electronic IWS application. The 24 events included in this analysis were caused by errors in the first four of the five ISMS functions. The most frequent cause was errors in analyzing the hazards (Function 2). The second most frequent cause was errors occurring when defining the work (Function 1), followed by errors during the performance of work (Function 4). Interestingly, very few errors in developing controls (Function 3) resulted in events. This leads one to conclude that if improvements are made to defining the scope of work and analyzing the potential hazards, LLNL may reduce the frequency or severity of events. Analysis of the 24 events resulted in the identification of ten common causes. Some events had multiple causes, resulting in the mention of 39 causes being identified for the 24 events. The most frequent cause was workers, supervisors, or experts believing they understood the work and the hazards but their understanding was incomplete. The second most frequent cause was unclear, incomplete or confusing documents directing the work. Together, these two causes were mentioned 17 times and co

De Grange, C E; Freeman, J W; Kerr, C E; Holman, G; Marsh, K; Beach, R

2011-01-14T23:59:59.000Z

454

Radiometrics At Fort Bliss Area (DOE GTP) | Open Energy Information  

Open Energy Info (EERE)

Radiometrics At Fort Bliss Area (DOE GTP) Radiometrics At Fort Bliss Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Radiometrics At Fort Bliss Area (DOE GTP) Exploration Activity Details Location Fort Bliss Area Exploration Technique Radiometrics Activity Date Usefulness not indicated DOE-funding Unknown References (1 January 2011) GTP ARRA Spreadsheet Retrieved from "http://en.openei.org/w/index.php?title=Radiometrics_At_Fort_Bliss_Area_(DOE_GTP)&oldid=402615" Categories: Exploration Activities DOE Funded Activities ARRA Funded Activities What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 1863747441

455

Radiological Control  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE-STD-1098-2008 October 2008 DOE STANDARD RADIOLOGICAL CONTROL U.S. Department of Energy AREA SAFT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. ii DOE-STD-1098-2008 This document is available on the Department of Energy Technical Standards Program Website at http://www.standards.doe.gov/ DOE-STD-1098-2008 Radiological Control DOE Policy October 2008 iii Foreword The Department of Energy (DOE) has developed this Standard to assist line managers in meeting their responsibilities for implementing occupational radiological control programs. DOE has established regulatory requirements for occupational radiation protection in Title 10 of the Code of Federal

456

Tracking granules at the Sun's surface and reconstructing velocity fields. II. Error analysis  

E-Print Network (OSTI)

The determination of horizontal velocity fields at the solar surface is crucial to understanding the dynamics and magnetism of the convection zone of the sun. These measurements can be done by tracking granules. Tracking granules from ground-based observations, however, suffers from the Earth's atmospheric turbulence, which induces image distortion. The focus of this paper is to evaluate the influence of this noise on the maps of velocity fields. We use the coherent structure tracking algorithm developed recently and apply it to two independent series of images that contain the same solar signal. We first show that a k-\\omega filtering of the times series of images is highly recommended as a pre-processing to decrease the noise, while, in contrast, using destretching should be avoided. We also demonstrate that the lifetime of granules has a strong influence on the error bars of velocities and that a threshold on the lifetime should be imposed to minimize errors. Finally, although solar flow patterns are easily recognizable and image quality is very good, it turns out that a time sampling of two images every 21 s is not frequent enough, since image distortion still pollutes velocity fields at a 30% level on the 2500 km scale, i.e. the scale on which granules start to behave like passive scalars. The coherent structure tracking algorithm is a useful tool for noise control on the measurement of surface horizontal solar velocity fields when at least two independent series are available.

R. Tkaczuk; M. Rieutord; N. Meunier; T. Roudier

2007-07-13T23:59:59.000Z

457

Operational Area Monitoring Plan  

Office of Legacy Management (LM)

' ' SECTION 11.7B Operational Area Monitoring Plan for the Long -Term H yd rol og ical M o n i to ri ng - Program Off The Nevada Test Site S . C. Black Reynolds Electrical & Engineering, Co. and W. G. Phillips, G. G. Martin, D. J. Chaloud, C. A. Fontana, and 0. G. Easterly Environmental Monitoring Systems Laboratory U. S. Environmental Protection Agency October 23, 1991 FOREWORD This is one of a series of Operational Area Monitoring Plans that comprise the overall Environmental Monitoring Plan for the DOE Field Office, Nevada (DOEINV) nuclear and non- nuclear testing activities associated with the Nevada Test Site (NTS). These Operational Area Monitoring Plans are prepared by various DOE support contractors, NTS user organizations, and federal or state agencies supporting DOE NTS operations. These plans and the parent

458

Error control coding for the N-user mod-2 multiple-access channel  

Science Conference Proceedings (OSTI)

The efficient use of transmission facilities often requires the sharing of resources by a number of users. Commonly used methods of shared media access are time division multiple access (TDMA), frequency-division multiple access (FDMA), code-division ...

V. P. Telang; M. A. Herro

1998-07-01T23:59:59.000Z

459

An error-controlled adaptive chemistry method for reacting flow simulations  

E-Print Network (OSTI)

Many technologically important processes in the chemical and mechanical industries involve coupled interactions of heat and mass transfer with chemical reactions - e.g. commercial burners, gas turbines, internal combustion ...

Oluwole, Oluwayemisi

2006-01-01T23:59:59.000Z

460

Errors associated with particulate matter measurements on rural sources: appropriate basis for regulating cotton gins  

E-Print Network (OSTI)

Agricultural operations across the United States are encountering difficulties complying with current air pollution regulations for particulate matter (PM). PM is currently regulated in terms of particle diameters less than or equal to a nominal 10 ?m (PM10); however, current legislation is underway to regulate PM with diameters less than or equal to a nominal 2.5 ?m (PM2.5). The goals of this research were to determine the biases and uncertainties associated with current PM10 and PM2.5 sampling methods and to determine the extent to which these errors may impact the determination of cotton gin emission factors. Ideally, PM samplers would produce an accurate measure of the pollutant indicator; for instance, a PM10 sampler would produce an accurate measure of PM less than or equal to 10 ?m. However, samplers are not perfect and errors are introduced because of the established tolerances associated with sampler performance characteristics and the interaction of particle size and sampler performance characteristics. Results of this research indicated that a source emitting PM characterized by a mass median diameter (MMD) of 20 ?m and a geometric standard deviation (GSD) of 1.5 could be forced to comply with a 3.2 and 14 times more stringent regulation of PM10 and PM2.5, respectively, than a source emitting PM characterized by a MMD of 10 ?m and a GSD of 1.5. These estimates are based on both sources emitting the same concentrations of true PM or concentrations corresponding to the particle diameters less than the size of interest. Various methods were used to estimate the true PM10 and PM2.5 emission factors associated with cotton gin exhausts and the extent to which the sampler errors impacted the PM regulation. Results from this research indicated that current cotton gin emission factors could be over-estimated by about 40%. This over-estimation is a consequence of the relatively large PM associated with cotton gin exhausts. These PM sampling errors are contributing to the misappropriation of source emissions in State Implementation Plans, essentially forcing Air Pollution Regulatory Agencies to require additional controls on sources that may be incorrectly classified has high emitters.

Buser, Michael Dean

2003-05-01T23:59:59.000Z

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461

Sensitivity of OFDM Systems to Synchronization Errors and Spatial Diversity  

E-Print Network (OSTI)

In this dissertation, the problem of synchronization for OFDM-based wireless communication systems is studied. In the first part of this dissertation, the sensitivity of both single input single output (SISO) OFDM and multiple input multiple output (MIMO) OFDM receivers to carrier and timing synchronization errors are analyzed. Analytical expressions and numerical results for the power of inter-carrier interference (ICI) are presented. It is shown that the OFDM-based receivers are quite sensitive to residual synchronization errors. In wide-sense stationary uncorrelated scattering (WSSUS) frequency-selective fading channels, the sampling clock timing offset results in rotation of the subcarrier constellation, while carrier frequency offsets and phase jitter cause inter-carrier interference. The overall system performance in terms of symbol error rate is limited by the inter-carrier interference. For a reliable information reception, compensatory measures must be taken. The second part of this dissertation deals with the impact of spatial diversity (usage of multiple transmit/receive antennas) on synchronization. It is found that with multiple transmit and receive antennas, MIMO-OFDM systems can take advantage of the spatial diversity to combat carrier and timing synchronization imperfections. Diversity can favorably improve the synchronization performance. Data-aided and non-data-aided maximum likelihood symbol timing estimators for MIMO-OFDM systems are introduced. Computer simulations show that, by exploiting the spatial diversity, synchronization performance of MIMO-OFDM systems in terms of mean squared error (MSE) of residual timing offset becomes significantly more reliable when compared to conventional SISO OFDM systems. Therefore, spatial diversity is a useful technique to be exploited in the deployment of MIMO-OFDM communication systems. In MIMO systems with synchronization sequences, timing synchronization is treated as a multiple hypotheses testing problem. Generalized likelihood ratio test (GLRT) statistics are developed for MIMO systems in frequency flat channels and MIMO-OFDM systems in frequency selective fading environments. The asymptotic performance of the GLRT without nuisance parameters is carried out. It is shown that the asymptotic performance of the GLRT can serve as an upper bound for the detection probability in the presence of a limited number of observations as well as a benchmark for comparing the performances of different timing synchronizers.

Zhou, Yi

2010-12-01T23:59:59.000Z

462

Potentially Significant Source of Error in Magnetic Paleolatitude Determinations  

E-Print Network (OSTI)

The discovery of close-to-star gas-giant exo-planets lends support to the idea of Earth's origin as a Jupiter-like gas giant and to the consequences of its compression, including whole-Earth decompression dynamics that gives rise, without requiring mantle convection, to the myriad measurements and observations whose descriptions are attributed to plate tectonics. I show here that paleolatitude determinations, used extensively in Pangaea-like reconstructions and in paleoclimate considerations, may be subject to potentially significant errors if rock-magnetization was acquired at Earth-radii less than present.

J. Marvin Herndon

2011-03-03T23:59:59.000Z

463

Definition: Home Area Network | Open Energy Information  

Open Energy Info (EERE)

Area Network Area Network Jump to: navigation, search Dictionary.png Home Area Network A communication network within the home of a residential electricity customer that allows transfer of information between electronic devices, including, but not limited to, in-home displays, computers, energy management devices, direct load control devices, distributed energy resources, and smart meters. Home area networks can be wired or wireless.[1] Related Terms electricity generation, distributed energy resource References ↑ https://www.smartgrid.gov/category/technology/home_area_network [[Ca LikeLike UnlikeLike You like this.Sign Up to see what your friends like. tegory: Smart Grid Definitionssustainability,smart grid,sustainability,smart grid, |Template:BASEPAGENAME]]sustainability,smart grid,sustainability,smart

464

Sacramento Area Technology Alliance | Open Energy Information  

Open Energy Info (EERE)

Sacramento Area Technology Alliance Sacramento Area Technology Alliance Jump to: navigation, search Logo: Sacramento Area Technology Alliance Name Sacramento Area Technology Alliance Address 5022 Bailey Loop Place McClellan, California Zip 95652 Region Bay Area Coordinates 38.657365°, -121.390278° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.657365,"lon":-121.390278,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

465

Berkshire East Ski Area | Open Energy Information  

Open Energy Info (EERE)

Ski Area Ski Area Jump to: navigation, search Name Berkshire East Ski Area Facility Berkshire East Ski Area Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Sustainable Energy Development Energy Purchaser Berkshire East Ski Area Location Charlemont MA Coordinates 42.61621237°, -72.86660671° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.61621237,"lon":-72.86660671,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

466

Bay Area | Open Energy Information  

Open Energy Info (EERE)

Bay Area Bay Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Bay Area 1.1 Products and Services in the Bay Area 1.2 Research and Development Institutions in the Bay Area 1.3 Networking Organizations in the Bay Area 1.4 Investors and Financial Organizations in the Bay Area 1.5 Policy Organizations in the Bay Area Clean Energy Clusters in the Bay Area Products and Services in the Bay Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

467

Texas Area | Open Energy Information  

Open Energy Info (EERE)

Area Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Texas Area 1.1 Products and Services in the Texas Area 1.2 Research and Development Institutions in the Texas Area 1.3 Networking Organizations in the Texas Area 1.4 Investors and Financial Organizations in the Texas Area 1.5 Policy Organizations in the Texas Area Clean Energy Clusters in the Texas Area Products and Services in the Texas Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

468

Rockies Area | Open Energy Information  

Open Energy Info (EERE)

Rockies Area Rockies Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Rockies Area 1.1 Products and Services in the Rockies Area 1.2 Research and Development Institutions in the Rockies Area 1.3 Networking Organizations in the Rockies Area 1.4 Investors and Financial Organizations in the Rockies Area 1.5 Policy Organizations in the Rockies Area Clean Energy Clusters in the Rockies Area Products and Services in the Rockies Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

469

The New York Times headquarters daylighting mockup: Monitoredperformance of the daylighting control system  

SciTech Connect

A nine-month monitored field study of the performance of automated roller shades and daylighting controls was conducted in a 401 m{sup 2} unoccupied, furnished daylighting mockup. The mockup mimicked the southwest corner of a new 110 km{sub 2} commercial building in New York, New York, where The New York Times will be the major tenant. This paper focuses on evaluating the performance of two daylighting control systems installed in separate areas of an open plan office with 1.2-m high workstation partitions: (1) Area A had 0-10 V dimmable ballasts with an open-loop proportional control system and an automated shade controlled to reduce window glare and increase daylight, and (2) Area B had digital addressable lighting interface (DALI) ballasts with a closed-loop integral reset control system and an automated shade controlled to block direct sun. Daylighting control system perform