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1

State Energy Production Estimates  

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

State Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052...

2

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

3

Characterization Of State Estimation Biases  

Science Journals Connector (OSTI)

The control and operation of an electric power system is based on the ability to determine the state of the system in real time. State estimation (SE) has been introduced in the 1960s to achieve this objective. The initial implementation was based on ...

A. P. Sakis Meliopoulos; George K. Stefopoulos

2006-01-01T23:59:59.000Z

4

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

NONE

1996-10-01T23:59:59.000Z

5

State Estimation of the Micro-grid  

Science Journals Connector (OSTI)

For the goal of actual needs of power companies, this chapter develops a state estimation procedure of the micro-grid, using branch currents as state variables, ... In this chapter, an IEEE-33 nodes micro-grid is...

Jinling Lu; Guodong Zhu; Yuyang Miao

2014-01-01T23:59:59.000Z

6

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview model description (e.g., the 1 #12;2 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES extended Kalman

Bernard, Olivier

7

Measurement enhancement for state estimation  

E-Print Network [OSTI]

, the control center receives the system-wide device information and measurement data through the Supervisory Control and Data Acquisition (SCADA) system. However, the information and measurement data provided by SCADA may not always be accurate and reliable... estimation use the measurement data from SCADA system, the status information about the circuit breakers (CB), switches and transformer taps, as well as the parameters of transmission lines, transformers, shunts capacitors/reactors and other devices...

Chen, Jian

2009-05-15T23:59:59.000Z

8

Parallel State Estimation Assessment with Practical Data  

SciTech Connect (OSTI)

This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.

Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

2014-10-31T23:59:59.000Z

9

Efficient Power System State Estimation  

E-Print Network [OSTI]

measure the data from the system components such as transmission line power flows, bus power injections monitoring of power systems. 2. Background Power systems have four main components: transmission, sub-transmission failure or generator outages. In the normal insecure state, a system may not be able to handle

Lavaei, Javad

10

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

NONE

1999-02-01T23:59:59.000Z

11

Sub-Second Parallel State Estimation  

SciTech Connect (OSTI)

This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days’ worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than today’s commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimator’s single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators’ actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.

Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu

2014-10-31T23:59:59.000Z

12

Distributed Robust Power System State Estimation  

E-Print Network [OSTI]

Deregulation of energy markets, penetration of renewables, advanced metering capabilities, and the urge for situational awareness, all call for system-wide power system state estimation (PSSE). Implementing a centralized estimator though is practically infeasible due to the complexity scale of an interconnection, the communication bottleneck in real-time monitoring, regional disclosure policies, and reliability issues. In this context, distributed PSSE methods are treated here under a unified and systematic framework. A novel algorithm is developed based on the alternating direction method of multipliers. It leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability. Beyond the conventional least-squares based PSSE, the decentralized framework accommodates a robust state estimator. By exploiting interesting links to the compressive sampling advances, the latter jointly es...

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

13

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview in "Wastewater Quality Monitoring and Wastewater Quality Monitoring and Treatment, Philippe Quevauviller (Ed

Paris-Sud XI, Université de

14

PMU Deployment for Optimal State Estimation Performance  

E-Print Network [OSTI]

the benefits from data aggregation. Phasor Measurement Unit (PMU) is such an advanced device capablePMU Deployment for Optimal State Estimation Performance Yue Yang, Student Member IEEE, and Sumit are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective

Roy, Sumit

15

Estimated United States Transportation Energy Use 2005  

SciTech Connect (OSTI)

A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

Smith, C A; Simon, A J; Belles, R D

2011-11-09T23:59:59.000Z

16

Louisiana State Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Louisiana State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

17

California State Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) California State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

18

Miscellaneous States Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

19

Texas State Offshore Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Texas State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

20

Lower 48 States Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Lower 48 States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Estimating Power System Dynamic States Using Extended Kalman Filter  

SciTech Connect (OSTI)

Abstract—The state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated “dynamic state estimation” includes true system dynamics reflected in differential equations, not like previously proposed “dynamic state estimation” which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.

Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning

2014-10-31T23:59:59.000Z

22

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

23

Optimal phase estimation for qubits in mixed states  

SciTech Connect (OSTI)

We present the optimal phase estimation for qubits in mixed states, for an arbitrary number of qubits prepared in the same state.

D'Ariano, Giacomo Mauro; Macchiavello, Chiara; Perinotti, Paolo [QUIT Group of the INFM, unita di Pavia and Dipartimento di Fisica 'A. Volta', via Bassi 6, I-27100 Pavia (Italy)

2005-10-15T23:59:59.000Z

24

Hybrid Systems State estimation for hybrid systems: applications  

E-Print Network [OSTI]

Hybrid Systems State estimation for hybrid systems: applications to aircraft tracking I. Hwang, H of a stochastic linear hybrid system, given only the continuous system output data, is studied. Well established techniques for hybrid estimation, known as the multiple model adaptive estimation algorithm

Tomlin, Claire

25

Production and analysis of a Southern Ocean state estimate  

E-Print Network [OSTI]

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried ...

Mazloff, Matthew R

2006-01-01T23:59:59.000Z

26

Estimate the Electromechanical States Using Particle Filtering and Smoothing  

SciTech Connect (OSTI)

Accurate knowledge of electromechanical states is critical for efficient and reliable control of a power system. This paper proposes a particle filtering approach to estimate the electromechanical states of power systems from Phasor Measurement Unit (PMU) data. Without having to go through laborious linearization procedure, the proposed particle filtering techniques can estimate states of a complex power system, which is often non-linear and has non-Gaussian noise. The proposed method is evaluated using a multi-machine system with both large and small disturbances. Sensitivity studies of the dynamic state estimation performance are also presented to show the robustness of the proposed method. The inherent decoupling properties of particle filtering make it highly scalable and the potential to reduce computational time through parallel implementation is very promising.

Meng, Da; Zhou, Ning; Lu, Shuai; Lin, Guang

2012-07-22T23:59:59.000Z

27

Constrained Nonlinear State Estimation Using Ensemble Kalman Filters  

Science Journals Connector (OSTI)

Non-Gaussian state noise probability density function (PDF) for a system with nonnegative constraints on process noise. ... The initial state error covariance matrix has been chosen as The initial state for the process and the state estimator are chosen as and respectively. ... In all simulation runs, the process is simulated using the nonlinear first principles model (eqs 37 and 38) and the true state variables are computed by solving the nonlinear differential equations using the differential equation solver in Matlab 7.7. ...

J. Prakash; Sachin C. Patwardhan; Sirish L. Shah

2010-02-02T23:59:59.000Z

28

ARM Site Atmospheric State Best Estimates for AIRS Validation  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Site Atmospheric State Best Estimates Site Atmospheric State Best Estimates for AIRS Validation D. C. Tobin, H. E. Revercomb, W. F. Feltz, R. D. Knuteson, and D. D. Turner Space Science and Engineering Center University of Wisconsin-Madison Madison, Wisconsin B. M. Lesht Environmental Research Division Argonne National Laboratory Argonne, Illinois L. Strow University of Maryland College Park, Maryland C. Barnet Joint Center for Earth Systems Technology Baltimore, Maryland E. Fetzer National Aeronautics Space Administration Jet Propulsion Laboratory Pasadena, California Introduction The atmospheric infrared sounder (AIRS) is a high spectral resolution infrared sounder on the earth observing plan (EOS) Aqua platform. Temperature and water vapor profile retrievals from AIRS are

29

Incorporation of Lagrangian measurements in freeway traffic state estimation  

E-Print Network [OSTI]

, University of California, Berkeley, United States a r t i c l e i n f o Article history: Received 15 May 2009 state estimation GPS-enabled cell-phones Probe data collection a b s t r a c t Cell-phones equipped lose 4.2 billion hours and waste 2.9 billion of fuel gallons per year because of traffic congestion

30

Optimal PMU Placement Evaluation for Power System Dynamic State Estimation  

E-Print Network [OSTI]

Optimal PMU Placement Evaluation for Power System Dynamic State Estimation Jinghe Zhang, Student--The synchronized phasor measurement unit (PMU), developed in the 1980s, is considered to be one of the most important devices in the future of power systems. The recent development of PMU technology provides high

Bishop, Gary

31

Phasor Measurement Unit Data in Power System State Estimation  

E-Print Network [OSTI]

by supervisory control and data acquisition (SCADA) devices. The incorporation of PMU measurementsPhasor Measurement Unit Data in Power System State Estimation Intermediate Project Report Power Center since 1996 PSERC #12;Power Systems Engineering Research Center Phasor Measurement Unit Data

32

Multiple phase estimation for arbitrary pure states under white noise  

E-Print Network [OSTI]

In any realistic quantum metrology scenarios, the ultimate precision in the estimation of parameters is limited not only by the so-called Heisenberg scaling, but also the environmental noise encountered by the underlying system. In the context of quantum estimation theory, it is of great significance to carefully evaluate the impact of a specific type of noise on the corresponding quantum Fisher information (QFI) or quantum Fisher information matrix (QFIM). Here we investigate the multiple phase estimation problem for a natural parametrization of arbitrary pure states under white noise. We obtain the explicit expression of the symmetric logarithmic derivative (SLD) and hence the analytical formula of QFIM. Moreover, the attainability of the quantum Cram\\'{e}r-Rao bound (QCRB) is confirmed by the commutability of SLDs and the optimal estimators are elucidated for the experimental purpose. These findings generalize previously known partial results and highlight the role of white noise in quantum metrology.

Yao Yao; Li Ge; Xing Xiao; Xiaoguang Wang; C. P. Sun

2014-09-08T23:59:59.000Z

33

Multi-area power system state estimation utilizing boundary measurements and phasor measurement units ( PMUs)  

E-Print Network [OSTI]

estimation is explained for a simple serial estimator. Then the thesis shows how conventional measurements and newer, more accurate PMU measurements work within the framework of weighted least squares estimation. Next, the multi-area state estimator...

Freeman, Matthew A

2006-10-30T23:59:59.000Z

34

Estimated Carbon Dioxide Emissions in 2008: United States  

SciTech Connect (OSTI)

Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.

Smith, C A; Simon, A J; Belles, R D

2011-04-01T23:59:59.000Z

35

Estimated United States Residential Energy Use in 2005  

SciTech Connect (OSTI)

A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

Smith, C A; Johnson, D M; Simon, A J; Belles, R D

2011-12-12T23:59:59.000Z

36

On parameter and state estimation for linear differential-algebraic equations  

Science Journals Connector (OSTI)

The current demand for more complex models has initiated a shift away from state-space models towards models described by differential-algebraic equations (DAEs). These models arise as the natural product of object-oriented modeling languages, such as ... Keywords: Differential-algebraic equations, Estimation, Gray-box models, Kalman filtering, Modeling, Parameter estimation, State estimation, Stochastic differential-algebraic equations

Markus Gerdin; Thomas B. Schön; Torkel Glad; Fredrik Gustafsson; Lennart Ljung

2007-03-01T23:59:59.000Z

37

Strategies for nested and eddy-permitting state estimation Geoffrey Gebbie,1,2,3  

E-Print Network [OSTI]

Strategies for nested and eddy-permitting state estimation Geoffrey Gebbie,1,2,3 Patrick Heimbach,2 that is nested inside a global state estimate: (1) estimation of open-boundary conditions consistent no fundamental obstacle exists to constraining the large-scale regional circulation nested within a global

Wunsch, Carl

38

Comparative study of State Estimation of Fuel Cell Hybrid System Using UKF and EKF  

E-Print Network [OSTI]

of the most promising fuel cell technologies is the Solid Oxide Fuel Cell (SOFC) due to its solid state design nonlinear ex- amples are considered to compare the state estimation using UKF and EKF. A Solid Oxide FuelComparative study of State Estimation of Fuel Cell Hybrid System Using UKF and EKF Rambabu Kandepu

Foss, Bjarne A.

39

Tests of the impact of assimilation of surface data on ocean state estimates  

E-Print Network [OSTI]

Tests of the impact of assimilation of surface data on ocean state estimates The coastal ocean. The relative impact of these data on the ocean state estimate has been evaluated. Accurate prediction of the front location is important to fisheries. Prediction and forecasting of surface currents would

Kurapov, Alexander

40

State Energy Profiles and Estimates (SEDS) Report Archives  

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

States - U.S. Energy Information Administration (EIA) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and...

Note: This page contains sample records for the topic "70-2011 estimates state" 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

VEHICLE STATE ESTIMATION USING VISION AND INERTIAL MEASUREMENTS  

E-Print Network [OSTI]

, pitch and yaw. A kinematic Kalman filter modeling an inertial navigation system then uses the scene: A novel method for estimating vehicle roll, pitch and yaw using machine vision and inertial sensors versus those from a high-quality GPS/INS system. Keywords: Terrain Aided Localization, Inertial

Brennan, Sean

42

Robust Data-Driven State Estimation for Smart Grid  

E-Print Network [OSTI]

aims to produce a real-time"snapshot"model for the network. Therefore, a grand challenge to the newly, such as intermittent wind power generation or in-consecutive vehicle charging. Mathematically, such estimation problems-convex, current solvers, for instance the ones implementing the Newton's method, for these problems often achieve

Sadeh, Norman M.

43

The southern ocean meridional overturning circulation as diagnosed from an eddy permitting state estimate  

E-Print Network [OSTI]

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence to the state estimate solution is carried out ...

Mazloff, Matthew R

2008-01-01T23:59:59.000Z

44

Current (2009) State-of-the-Art Hydrogen Production Cost Estimate  

E-Print Network [OSTI]

Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis National Cost Estimate Using Water Electrolysis To: Mr. Mark Ruth, NREL, DOE Hydrogen Systems Integration Office. For central production, the hydrogen cost is at the plant gate of an electrolysis facility with a capacity

45

Measurement calibration/tuning & topology processing in power system state estimation  

E-Print Network [OSTI]

the implementation of this algorithm. A concise substation model is defined for this purpose. A friendly user interface that incorporates the two-stage algorithm into the conventional state estimator is developed. The performances of the two-stage state... estimation algorithms rely on accurate determination of suspect substations. A comprehensive identification procedure is described in chapter III. In order to evaluate the proposed procedure, a topology error library is created. Several identification...

Zhong, Shan

2005-02-17T23:59:59.000Z

46

Study of the utilization and benefits of phasor measurement units for large scale power system state estimation  

E-Print Network [OSTI]

of adding PMU measurements on the state estimation solution accuracy will be studied. Bad data processing in the presence of PMU measurements will also be presented. Finally, a multiarea state estimation method will be developed. This method involves a two...

Yoon, Yeo Jun

2006-04-12T23:59:59.000Z

47

Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries  

E-Print Network [OSTI]

Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries estimation Li-ion battery Robustness analysis a b s t r a c t Battery State of Charge (SOC) estimation. This paper analyzes the robustness of SOC estimation algorithms for two types of Li-ion batteries under

Peng, Huei

48

Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards  

SciTech Connect (OSTI)

Most renewable portfolio standards (RPS) have five or more years of implementation experience, enabling an assessment of their costs and benefits. Understanding RPS costs and benefits is essential for policymakers evaluating existing RPS policies, assessing the need for modifications, and considering new policies. This study provides an overview of methods used to estimate RPS compliance costs and benefits, based on available data and estimates issued by utilities and regulators. Over the 2010-2012 period, average incremental RPS compliance costs in the United States were equivalent to 0.8% of retail electricity rates, although substantial variation exists around this average, both from year-to-year and across states. The methods used by utilities and regulators to estimate incremental compliance costs vary considerably from state to state and a number of states are currently engaged in processes to refine and standardize their approaches to RPS cost calculation. The report finds that state assessments of RPS benefits have most commonly attempted to quantitatively assess avoided emissions and human health benefits, economic development impacts, and wholesale electricity price savings. Compared to the summary of RPS costs, the summary of RPS benefits is more limited, as relatively few states have undertaken detailed benefits estimates, and then only for a few types of potential policy impacts. In some cases, the same impacts may be captured in the assessment of incremental costs. For these reasons, and because methodologies and level of rigor vary widely, direct comparisons between the estimates of benefits and costs are challenging.

Heeter, J.; Barbose, G.; Bird, L.; Weaver, S.; Flores-Espino, F.; Kuskova-Burns, K.; Wiser, R.

2014-05-01T23:59:59.000Z

49

MODEL-BASED VEHICLE STATE ESTIMATION USING PREVIEWED ROAD GEOMETRY AND NOISY SENSORS  

E-Print Network [OSTI]

to the automotive world. Unfortunately for the designers of vehicle driver assist systems, however, most low- cost states from low-cost sensors remains [2]. In the case of autonomous vehicle guidance or in modeling another sen- sor input to estimate vehicle state. This is a particularly low-cost data source, especially

Brennan, Sean

50

Table 10. Estimated rail transportation rates for coal, basin to state, STB dat  

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

Estimated rail transportation rates for coal, basin to state, STB data" Estimated rail transportation rates for coal, basin to state, STB data" ,,"Real Dollars per Ton",,,,,,,,,,"Annual Percent Change" "Basin","Destination State",2001,2002,2003,2004,2005,2006,2007,2008,2009,," 2001-2009"," 2008-2009" "Northern Appalachian Basin","Delaware"," W"," W"," $16.45"," $14.29"," W"," -"," W"," W"," -",," -"," -" "Northern Appalachian Basin","Florida"," $21.45"," W"," W"," W"," W"," $28.57"," W"," W"," W",," W"," W"

51

STATE ESTIMATION AND THE MEANING The discipline of the scholar is a consecration to the pursuit of the truth.  

E-Print Network [OSTI]

with the things of God. Optimal State Estimation, First Edition. By Dan J. Simon ISBN 0471708585 c 2006 John Wiley, and other subatomic particles. Similarly, on a superficial level it appears that state estimation estimation is based on mathematical truth. · God created the universe and all that is in it. This includes

Simon, Dan

52

Efficient Quantum-State Estimation by Continuous Weak Measurement and Dynamical Control  

SciTech Connect (OSTI)

We demonstrate a fast, robust, and nondestructive protocol for quantum-state estimation based on continuous weak measurement in the presence of a controlled dynamical evolution. Our experiment uses optically probed atomic spins as a test bed and successfully reconstructs a range of trial states with fidelities of {approx}90%. The procedure holds promise as a practical diagnostic tool for the study of complex quantum dynamics, the testing of quantum hardware, and as a starting point for new types of quantum feedback control.

Smith, Greg A.; Jessen, Poul S. [College of Optical Sciences, University of Arizona, Tucson, Arizona 85721 (United States); Silberfarb, Andrew; Deutsch, Ivan H. [Department of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico 87131 (United States)

2006-11-03T23:59:59.000Z

53

Optimal estimation of an observable's expectation value for pure states for general measure of deviation  

E-Print Network [OSTI]

We investigate the optimal estimation of quantum expectation value of a physical observable, which minimizes a mean error with respect to general measure of deviation, when a finite number of copies of a pure state are prepared. If pure sates are uniformly distributed, the minimum value of mean error for any measure of deviation is achieved by projective measurement on each copy.

Minoru Horibe; Akihisa Hayashi; Takaaki Hashimoto

2006-10-03T23:59:59.000Z

54

Cooperative State Estimation for Preserving Privacy of User Behaviors in Smart Grid  

E-Print Network [OSTI]

Cooperative State Estimation for Preserving Privacy of User Behaviors in Smart Grid Younghun Kim Engineering Department, UCLA, Los Angeles, CA, USA, mbs@ucla.edu Abstract--Smart grid promises a reliable and data amount from advanced smart grid introduce new privacy issues, which have to be resolved

Ngai, Edith Cheuk-Han

55

Power systems: State estimation. (Latest citations from the EI Compendex plus database). Published Search  

SciTech Connect (OSTI)

The bibliography contains citations concerning the monitoring and control of power systems using state estimation techniques. The citations cover analytical techniques, including algorithms, simulations, and problems, such as bad data and nonlinearities. (Contains 250 citations and includes a subject term index and title list.)

Not Available

1993-08-01T23:59:59.000Z

56

Reduced Measurement-space Dynamic State Estimation (ReMeDySE) for Power Systems  

E-Print Network [OSTI]

data are checked and calculated. 2) Observability determination. Various sensor measure- ments. Typically, a state estimator receives telemetered measurements from a Supervisory Control And Data the system dynamics. This changed with the intro- duction of Phasor Measurement Unit (PMU). PMUs primarily

Bishop, Gary

57

Estimation of the local density of states on a quantum computer  

SciTech Connect (OSTI)

We report an efficient quantum algorithm for estimating the local density of states (LDOS) on a quantum computer. The LDOS describes the redistribution of energy levels of a quantum system under the influence of a perturbation. Sometimes known as the 'strength function' from nuclear spectroscopy experiments, the shape of the LDOS is directly related to the survivial probability of unperturbed eigenstates, and has recently been related to the fidelity decay (or 'Loschmidt echo') under imperfect motion reversal. For quantum systems that can be simulated efficiently on a quantum computer, the LDOS estimation algorithm enables an exponential speedup over direct classical computation.

Emerson, Joseph; Cory, David [Department of Nuclear Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Lloyd, Seth [Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Poulin, David [Institute for Quantum Computing, University of Waterloo, Waterloo, ON, N2L 3G1 (Canada)

2004-05-01T23:59:59.000Z

58

Estimation of the local density of states on a quantum computer  

Science Journals Connector (OSTI)

We report an efficient quantum algorithm for estimating the local density of states (LDOS) on a quantum computer. The LDOS describes the redistribution of energy levels of a quantum system under the influence of a perturbation. Sometimes known as the “strength function” from nuclear spectroscopy experiments, the shape of the LDOS is directly related to the survivial probability of unperturbed eigenstates, and has recently been related to the fidelity decay (or “Loschmidt echo”) under imperfect motion reversal. For quantum systems that can be simulated efficiently on a quantum computer, the LDOS estimation algorithm enables an exponential speedup over direct classical computation.

Joseph Emerson; Seth Lloyd; David Poulin; David Cory

2004-05-19T23:59:59.000Z

59

Accurately Estimating the State of a Geophysical System with Sparse Observations: Predicting the Weather  

E-Print Network [OSTI]

Utilizing the information in observations of a complex system to make accurate predictions through a quantitative model when observations are completed at time $T$, requires an accurate estimate of the full state of the model at time $T$. When the number of measurements $L$ at each observation time within the observation window is larger than a sufficient minimum value $L_s$, the impediments in the estimation procedure are removed. As the number of available observations is typically such that $L \\ll L_s$, additional information from the observations must be presented to the model. We show how, using the time delays of the measurements at each observation time, one can augment the information transferred from the data to the model, removing the impediments to accurate estimation and permitting dependable prediction. We do this in a core geophysical fluid dynamics model, the shallow water equations, at the heart of numerical weather prediction. The method is quite general, however, and can be utilized in the analysis of a broad spectrum of complex systems where measurements are sparse. When the model of the complex system has errors, the method still enables accurate estimation of the state of the model and thus evaluation of the model errors in a manner separated from uncertainties in the data assimilation procedure.

Zhe An; Daniel Rey; Henry D. I. Abarbanel

2014-05-11T23:59:59.000Z

60

Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators  

Science Journals Connector (OSTI)

We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of...

Taher Niknam

2008-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Developing a tool to estimate water withdrawal and consumption in electricity generation in the United States.  

SciTech Connect (OSTI)

Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.

Wu, M.; Peng, J. (Energy Systems); ( NE)

2011-02-24T23:59:59.000Z

62

Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical model  

E-Print Network [OSTI]

Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical state of charge (SOC). In this paper an averaged electrochemical Lithium-ion battery model suitable-Volmer current and the solid concentration at the interface with the electrolyte and (ii) the battery current

Stefanopoulou, Anna

63

A Two-Stage Kalman Filter Approach for Robust and Real-Time Power System State Estimation  

SciTech Connect (OSTI)

As electricity demand continues to grow and renewable energy increases its penetration in the power grid, realtime state estimation becomes essential for system monitoring and control. Recent development in phasor technology makes it possible with high-speed time-synchronized data provided by Phasor Measurement Units (PMU). In this paper we present a two-stage Kalman filter approach to estimate the static state of voltage magnitudes and phase angles, as well as the dynamic state of generator rotor angles and speeds. Kalman filters achieve optimal performance only when the system noise characteristics have known statistical properties (zero-mean, Gaussian, and spectrally white). However in practice the process and measurement noise models are usually difficult to obtain. Thus we have developed the Adaptive Kalman Filter with Inflatable Noise Variances (AKF with InNoVa), an algorithm that can efficiently identify and reduce the impact of incorrect system modeling and/or erroneous measurements. In stage one, we estimate the static state from raw PMU measurements using the AKF with InNoVa; then in stage two, the estimated static state is fed into an extended Kalman filter to estimate the dynamic state. Simulations demonstrate its robustness to sudden changes of system dynamics and erroneous measurements.

Zhang, Jinghe; Welch, Greg; Bishop, Gary; Huang, Zhenyu

2014-04-01T23:59:59.000Z

64

Evaluation of Various Methods for Estimating Global Solar Radiation in the Southeastern United States  

SciTech Connect (OSTI)

Global solar radiation Rg is an important input for crop models to simulate crop responses. Because the scarcity of long and continuous records of Rg is a serious limitation in many countries, Rg is estimated using models. For crop-model application, empirical Rg models that use commonly measured meteorological variables, such as temperature and precipitation, are generally preferred. Although a large number of models of this kind exist, few have been evaluated for conditions in the United States. This study evaluated the performances of 16 empirical, temperature- and/or precipitation-based Rg models for the southeastern United States. By taking into account spatial distribution and data availability, 30 locations in the region were selected and their daily weather data spanning eight years obtained. One-half of the data was used for calibrating the models, and the other half was used for evaluation. For each model, location-specific parameter values were estimated through regressions. Models were evaluated for each location using the root-mean-square error and the modeling efficiency as goodness-of-fit measures. Among the models that use temperature or precipitation as the input variable, the Mavromatis model showed the best performance. The piecewise linear regression�¢����based Wu et al. model (WP) performed best not only among the models that use both temperature and precipitation but also among the 16 models evaluated, mainly because it has separate relationships for low and high radiation levels. The modeling efficiency of WP was from ~5% to more than 100% greater than those of the other models, depending on models and locations.

Woli, Prem; Paz, Joel O.

2011-12-23T23:59:59.000Z

65

Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A.  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

State-Level Emission Estimates State-Level Emission Estimates Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A. and the District of Columbia for Each Year from 1960 through 2001 graphics Graphics data Data (ASCII comma-delimited) Investigators T.J. Blasing and Gregg Marland Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6335, U.S.A. Christine Broniak Department of Agricultural & Resource Economics, Oregon State University, Corvallis, Oregon 97331-3601 DOI 10.3334/CDIAC/00003 Period of Record 1960-2001 Methods Consumption data for coal, petroleum, and natural gas are multiplied by their respective thermal conversion factors, which are in units of heat energy per unit of fuel consumed (i.e., per cubic foot, barrel, or ton), to

66

Parameter estimation of coupled water and energy balance models based on stationary constraints of surface states  

E-Print Network [OSTI]

[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...

Sun, Jian

67

Variability of the Meridional Overturning in the North Atlantic from the 50-Year GECCO State Estimation  

Science Journals Connector (OSTI)

The German partner of the consortium for Estimating the Circulation and Climate of the Ocean (GECCO) provided a dynamically consistent estimate of the time-varying ocean circulation over the 50-yr period 1952–2001. The GECCO synthesis combines ...

Armin Köhl; Detlef Stammer

2008-09-01T23:59:59.000Z

68

1460 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 32, NO. 7, JULY 2014 Data Framing Attack on State Estimation  

E-Print Network [OSTI]

attack, cyber security, smart grid. I. INTRODUCTION AFEATURE of any future smart grid is the promise such that the control center will remove useful measurements that would otherwise be used by the state estimator degree controlling only half of a critical set of measurements that are needed to make a system

Tong, Lang

69

Towards Autonomous-collaborative and Haptic-tele-operated UAVs with Fully-onboard State Estimation and Physical Interaction Capabilities  

E-Print Network [OSTI]

Towards Autonomous-collaborative and Haptic-tele-operated UAVs with Fully-onboard State Estimation of the very recent and current activities of the Autonomous Robotics and Human-Machine Systems group around the study and design of autonomous robotic systems evolving in an uncertain and dynamical world

70

4162 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 28, NO. 4, NOVEMBER 2013 Power System State Estimation Using PMUs With  

E-Print Network [OSTI]

. NOMENCLATURE: PMU Phasor measurement unit. SCADA Supervisory control and data acquisition. GPS Global, Kalman filtering, phase mismatch, phasor measurement unit (PMU), state estimation, synchronization]­[7]. The traditional supervisory control and data acquisition (SCADA) system has a low reporting rate and requires

Nehorai, Arye

71

Online Simultaneous State Estimation and Parameter Adaptation for Building Predictive Control  

E-Print Network [OSTI]

and E. ekov, “Building Modeling as a Crucial Part forthe designed adaptive building modeling framework is testedThe details of building thermal modeling and estimation of

Maasoumy, Mehdi; Moridian, Barzin; Razmara, Meysam; Shahbakhti, Mahdi; Sangiovanni-Vincentelli, Alberto

2014-01-01T23:59:59.000Z

72

A SURVEY OF STATE-LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS  

E-Print Network [OSTI]

LEVEL COST ESTIMATES OF RENEWABLES PORTFOLIO STANDARDS Galenthe incremental cost of renewables portfolio standards (RPS)Washington DC have adopted renewables portfolio standards (

Barbose, Galen

2014-01-01T23:59:59.000Z

73

Estimated Value of Service Reliability for Electric Utility Customers in the United States  

E-Print Network [OSTI]

Ordinary Least Squares SAIDI – System Average Interruptionapplied to indicators like SAIDI and SAIFI for purposes ofe.g. , SAIFI and SAIDI); estimate partial interruption cost;

Sullivan, M.J.

2009-01-01T23:59:59.000Z

74

Estimated Value of Service Reliability for Electric Utility Customers in the United States  

E-Print Network [OSTI]

Average Interruption Duration Index SAIFI – System Averageindicators like SAIDI and SAIFI for purposes of calculatingreliability performance (e.g. , SAIFI and SAIDI); estimate

Sullivan, M.J.

2009-01-01T23:59:59.000Z

75

State-level evaluations of the Weatherization Assistance Program in 1990-1996: a metaevaluation that estimates national savings  

SciTech Connect (OSTI)

The DOE Weatherization Assistance Program is one of the largest energy conservation programs in the nation. To obtain an updated estimate of national Program savings, an approach of metaevaluation was selected, which involved locating, assembling, and summarizing the results of all state-level evaluations of the Program that have become available since 1990. All of the savings estimates that are presented in this report are for dwellings that heat primarily with natural gas.This review of the state-level evaluations conducted since 1990 concluded that Program performance has improved significantly in the last seven years. The finding that savings are increasing are supported by a literature review, within-state comparisons of savings over time, and regression modeling results.

Berry, L.

1997-01-01T23:59:59.000Z

76

Economic Burden of Cancer in the United States: Estimates, Projections, and Future Research  

Science Journals Connector (OSTI)

...and then combined with human capital or WTP estimates of the value...the employment-based human capital method. As expected, the...productivity valued with the human capital approach is estimated to increase...surveys [e.g., Medical Expenditure Panel Survey (MEPS)] and...

K. Robin Yabroff; Jennifer Lund; Deanna Kepka; and Angela Mariotto

2011-10-01T23:59:59.000Z

77

Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis: Independent Review  

SciTech Connect (OSTI)

This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

Not Available

2009-09-01T23:59:59.000Z

78

Embedded avionics with Kalman state estimation for a novel micro-scale unmanned aerial vehicle  

E-Print Network [OSTI]

An inertial navigation system leveraging Kalman estimation techniques and quaternion dynamics is developed for deployment to a micro-scale unmanned aerial vehicle (UAV). The capabilities, limitations, and requirements of ...

Tzanetos, Theodore

2013-01-01T23:59:59.000Z

79

Estimating the benefits of recreation-oriented management in state-owned commercial forests in Finland: A choice experiment  

Science Journals Connector (OSTI)

Abstract As forestlands provide a variety of environmental services, the management of forest resources is a matter of public concern. In the present case of state-owned commercial forests in Finland, legislation requires specific management practices to enhance recreational benefits free of charge to the public. This choice experiment considers Finnish people's valuation of the recreation-oriented management of state-owned commercial forests to evaluate whether the recreational benefits produced justify the related loss of profits from timber sales. We focus on three management attributes: scenic buffer zones along lakes and rivers, habitats for game birds, and the quality of scenery as reflected by the frequency of clear-cut areas along hiking trails. Marginal willingness-to-pay (WTP) effects for the attributes are estimated with random parameters logit models specified in the WTP space, while preference-space models are used to estimate in physical terms the attribute levels that maximize the benefits to the public. Despite regional differences in preferences, people in all parts of Finland valued the current recreation-oriented management of state-owned commercial forests considerably. Nationwide, the aggregate benefits of recreation-enhancing management clearly exceeded the estimated opportunity costs. The most preferred levels of management attributes were slightly above the current levels, suggesting an increase in the provision of recreational services when not considering the associated costs.

Artti Juutinen; Anna-Kaisa Kosenius; Ville Ovaskainen

2014-01-01T23:59:59.000Z

80

Recoverable Natural Gas Resource of the United States: Summary of Recent Estimates  

Science Journals Connector (OSTI)

...Summary of Recent Estimates John B. Curtis 1 Scott L. Montgomery...montgomery@prodigy.net John B. Curtis is associate professor...Technology Institute (Holtberg and Cochener, 2001), the National Petroleum...the Potential Gas Committee: John D. Haun, David F. Morehouse...

John B. Curtis; Scott L. Montgomery

Note: This page contains sample records for the topic "70-2011 estimates state" 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

A trade-off analysis between penetration rate and sampling frequency of mobile sensors in traffic state estimation  

Science Journals Connector (OSTI)

Abstract The rapid-growth of smartphones with embedded navigation systems such as GPS modules provides new ways of monitoring traffic. These devices can register and send a great amount of traffic related data, which can be used for traffic state estimation. In such a case, the amount of data collected depends on two variables: the penetration rate of devices in traffic flow (P) and their data sampling frequency (z). Referring to data composition as the way certain number of observations is collected, in terms of P and z, we need to understand the relation between the amount and composition of data collected, and the accuracy achieved in traffic state estimation. This was accomplished through an in-depth analysis of two datasets of vehicle trajectories on freeways. The first dataset consists of trajectories over a real freeway, while the second dataset is obtained through microsimulation. Hypothetical scenarios of data sent by equipped vehicles were created, based on the composition of data collected. Different values of P and z were used, and each unique combination defined a specific scenario. Traffic states were estimated through two simple methods, and a more advanced one that incorporates traffic flow theory. A measure to quantify data to be collected was proposed, based on travel time, number of vehicles, penetration rate and sampling frequency. The error was below 6% for every scenario in each dataset. Also, increasing data reduced variability in data count estimation. The performance of the different estimation methods varied through each dataset and scenario. Since the same number of observations can be gathered with different combinations of P and z, the effect of data composition was analyzed (a trade-off between penetration rate and sampling frequency). Different situations were found. In some, an increase in penetration rate is more effective to reduce estimation error than an increase in sampling frequency, considering an equal increase in observations. In other areas, the opposite relationship was found. Between these areas, an indifference curve was found. In fact, this curve is the solution to the optimization problem of minimizing the error given any fixed number of observations. As a general result, increasing sampling frequency (penetration rate) is more beneficial when the current sampling frequency (penetration rate) is low, independent of the penetration rate (sampling frequency).

Christopher Bucknell; Juan C. Herrera

2014-01-01T23:59:59.000Z

82

E-Print Network 3.0 - aided state estimation Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Data Set 2007-08 H1 2007-2008 Summary: for undergraduate degree- seeking nonresident aliens: State aid form Report the average per-borrower cumulative... institutional aid. Check...

83

Estimates of bird collision mortality at wind facilities in the contiguous United States  

Science Journals Connector (OSTI)

Abstract Wind energy has emerged as a promising alternative to fossil fuels, yet the impacts of wind facilities on wildlife remain unclear. Prior studies estimate between 10,000 and 573,000 fatal bird collisions with U.S. wind turbines annually; however, these studies do not differentiate between turbines with a monopole tower and those with a lattice tower, the former of which now comprise the vast majority of all U.S. wind turbines and the latter of which are largely being de-commissioned. We systematically derived an estimate of bird mortality for U.S. monopole turbines by applying inclusion criteria to compiled studies, identifying correlates of mortality, and utilizing a predictive model to estimate mortality along with uncertainty. Despite measures taken to increase analytical rigor, the studies we used may provide a non-random representation of all data; requiring industry reports to be made publicly available would improve understanding of wind energy impacts. Nonetheless, we estimate that between 140,000 and 328,000 (mean = 234,000) birds are killed annually by collisions with monopole turbines in the contiguous U.S. We found support for an increase in mortality with increasing turbine hub height and support for differing mortality rates among regions, with per turbine mortality lowest in the Great Plains. Evaluation of risks to birds is warranted prior to continuing a widespread shift to taller wind turbines. Regional patterns of collision risk, while not obviating the need for species-specific and local-scale assessments, may inform broad-scale decisions about wind facility siting.

Scott R. Loss; Tom Will; Peter P. Marra

2013-01-01T23:59:59.000Z

84

Estimated Benefits of IBWC Rio Grande Flood-Control Projects in the United States  

E-Print Network [OSTI]

reservoirs, dams, hydroelectric energy-generation facilities, floodways, and levees downstream of Caballo Reservoir in New Mexico. The international boundary between the United States (U.S.) and Mexico is over 1 is characterized by fifteen pairs of sister cities sustained by agriculture, import-export trade, service

85

Convolution Particle Filter for Parameter Estimation in General State-Space Models  

E-Print Network [OSTI]

study. Index Terms Bayes procedures, Hidden Markov models, Marine vehicle detection and tracking, Monte Campillo and Vivien Rossi Abstract The state-space modeling of partially observed dynamical systems to the parameter components or to the deterministic component of the dynamical system. However, this approach

Rossi, Vivien

86

Discrete state model and accurate estimation of loop entropy of RNA secondary structures  

E-Print Network [OSTI]

of Illinois at Chicago, Chicago, Illinois 60607, USA 2 National Laboratory of Solid State Microstructure, University of Illinois at Chicago, Chicago, Illinois 60607, USA 4 Department of Statistics, Rutgers enthalpic. Our method can be applied to develop improved energy parameters important for studying RNA

Dai, Yang

87

Estimates of carbon stored in harvested wood products from United States Forest Service  

E-Print Network [OSTI]

associated with harvested wood products (HWP) to meet greenhouse gas monitoring commitments and climate Mountain Research Station, Missoula, MT. Nathaniel Anderson is a Research Forester with the United States Forest Service, Rocky Mountain Research Station, Missoula, MT. Keith Stockmann is an Economist

88

Estimates of carbon stored in harvested wood products from United States Forest Service  

E-Print Network [OSTI]

associated with harvested wood products (HWP) to meet greenhouse gas monitoring commitments and climate, Rocky Mountain Research Station, Missoula, MT. Jesse Young is Forestry Research Technician with the United States Forest Service, Rocky Mountain Research Station, Missoula, MT. Kenneth Skog is a Project

89

Estimates of carbon stored in harvested wood products from United States Forest  

E-Print Network [OSTI]

products (HWP) to meet greenhouse gas monitoring commitments and climate change adaptation and mitigation Mountain Research Station, Missoula, MT. Nathaniel Anderson is a Research Forester with the United States Forest Service, Rocky Mountain Research Station, Missoula, MT. Keith Stockmann is an Economist

90

Estimates of carbon stored in harvested wood products from United States Forest Service  

E-Print Network [OSTI]

products (HWP) to meet greenhouse gas monitoring commitments and climate change adaptation and mitigation, Missoula, MT. and cooperator with the Rocky Mountain Research Station, Missoula, MT. Nathaniel Anderson is a Research Forester with the United States Forest Service, Rocky Mountain Research Station, Missoula, MT

91

Estimates of carbon stored in harvested wood products from United States Forest Service  

E-Print Network [OSTI]

associated with harvested wood products (HWP) to meet greenhouse gas monitoring commitments and climate of Montana, Missoula, MT. and cooperator with the Rocky Mountain Research Station, Missoula, MT. Nathaniel Anderson is a Research Forester with the United States Forest Service, Rocky Mountain Research Station

92

Estimates of carbon stored in harvested wood products from United States Forest Service  

E-Print Network [OSTI]

associated with harvested wood products (HWP) to meet greenhouse gas monitoring commitments and climate Forest Service, Rocky Mountain Research Station, Missoula, MT. Jesse Young is Forestry Research Technician with the United States Forest Service, Rocky Mountain Research Station, Missoula, MT. Kenneth Skog

93

Estimates of carbon stored in harvested wood products from United States Forest Service  

E-Print Network [OSTI]

associated with harvested wood products (HWP) to meet greenhouse gas monitoring commitments and climate Research Station, Missoula, MT. Jesse Young is Forestry Research Technician with the United States Forest Service, Rocky Mountain Research Station, Missoula, MT. Kenneth Skog is a Project Leader

94

Quasiholes of 13 and 73 quantum Hall states: Size estimates via exact diagonalization and density-matrix renormalization group  

Science Journals Connector (OSTI)

We determine the size of the elementary quasihole in ?=1/3 and ?=7/3 quantum Hall states via exact-diagonalization and density-matrix renormalization group calculations on the sphere and cylinder, using a variety of short- and long-range pinning potentials. The size of the quasihole at filling factor ?=1/3 is estimated to be ?4?B, and that of ?=7/3 is ?7?B, where ?B is the magnetic length. In contrast, the size of the Laughlin quasihole, expected to capture the basic physics in these two states, is around ?2.5?B. Our work supports the earlier findings that the quasihole in the first excited Landau level is significantly larger than in the lowest Landau level.

Sonika Johri; Z. Papi?; R. N. Bhatt; P. Schmitteckert

2014-03-24T23:59:59.000Z

95

The Effect of Improved Fuel Economy on Vehicle Miles Traveled: Estimating the Rebound Effect Using U.S. State Data, 1966-2001  

E-Print Network [OSTI]

1979, State Energy Fuel Prices by Major Economic Sector fromon variations in the fuel price P F , 1 in which case it isempirical estimates of the fuel-price elasticities of fuel

Small, Kenneth A; Van Dender, Kurt

2005-01-01T23:59:59.000Z

96

Distribution System State Estimation  

Office of Scientific and Technical Information (OSTI)

these include reactive power management, outage management, loss reduction, demand response, adaptable over-current protection, condition-based maintenance, distributed...

97

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States  

Gasoline and Diesel Fuel Update (EIA)

ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States Year Primary Energy Electric Power Sector h,j Retail Electricity Total Energy g,h,i Coal Coal Coke Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i,j Coking Coal Steam Coal Total Exports Imports Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f,g Prices in Dollars per Million Btu 1970 0.45 0.36 0.38 1.27 0.93 0.59 1.16 0.73 1.43 2.85 0.42 1.38 1.71 0.18 1.29 1.08 0.32 4.98 1.65 1975 1.65 0.90 1.03 2.37 3.47 1.18 2.60 2.05 2.96 4.65 1.93 2.94 3.35 0.24 1.50 2.19 0.97 8.61 3.33 1980 2.10 1.38 1.46 2.54 3.19 2.86 6.70 6.36 5.64 9.84 3.88 7.04 7.40 0.43 2.26 4.57 1.77 13.95 6.89 1985 2.03 1.67 1.69 2.76 2.99 4.61 7.22 5.91 6.63 9.01 4.30 R 7.62 R 7.64 0.71 2.47 4.93 1.91 19.05

98

PSM: Lithium-Ion Battery State of Charge (SOC) and Critical Surface Charge (CSC) Estimation using an Electrochemical Model-driven  

E-Print Network [OSTI]

PSM: Lithium-Ion Battery State of Charge (SOC) and Critical Surface Charge (CSC) Estimation using Abstract-- This paper presents a numerical calculation of the evolution of the spatially-resolved solid concentration in the two electrodes of a lithium-ion cell. The microscopic solid con- centration is driven

Stefanopoulou, Anna

99

Robust Data-Driven State Estimation for Smart Grid Yang Weng, Student Member, IEEE, Rohit Negi, Member, IEEE, Christos Faloutsos, Member, IEEE, and  

E-Print Network [OSTI]

, a grand challenge to the newly built smart grid is how to "optimally" estimate the state with increasing uncertainties, such as intermittent wind power generation or inconsecutive vehicle charging. Mathematically. As the problems are nonconvex, current solvers, for instance the ones implementing Newton's method

Gordon, Geoffrey J.

100

Estimating the Capacity Value of Concentrating Solar Power Plants: A Case Study of the Southwestern United States  

SciTech Connect (OSTI)

We estimate the capacity value of concentrating solar power (CSP) plants without thermal energy storage in the southwestern U.S. Our results show that CSP plants have capacity values that are between 45% and 95% of maximum capacity, depending on their location and configuration. We also examine the sensitivity of the capacity value of CSP to a number of factors and show that capacity factor-based methods can provide reasonable approximations of reliability-based estimates.

Madaeni, S. H.; Sioshansi, R.; Denholm, P.

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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

State  

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

Biodiesel Producers and Production Capacity by State, September 2013 Biodiesel Producers and Production Capacity by State, September 2013 State Number of Producers Annual Production Capacity (million gallons per year) Alabama 3 47 Alaska - - Arizona 1 2 Arkansas 3 85 California

102

Sample size requirements for estimating effective dose from computed tomography using solid-state metal-oxide-semiconductor field-effect transistor dosimetry  

SciTech Connect (OSTI)

Purpose: Effective dose (ED) is a widely used metric for comparing ionizing radiation burden between different imaging modalities, scanners, and scan protocols. In computed tomography (CT), ED can be estimated by performing scans on an anthropomorphic phantom in which metal-oxide-semiconductor field-effect transistor (MOSFET) solid-state dosimeters have been placed to enable organ dose measurements. Here a statistical framework is established to determine the sample size (number of scans) needed for estimating ED to a desired precision and confidence, for a particular scanner and scan protocol, subject to practical limitations. Methods: The statistical scheme involves solving equations which minimize the sample size required for estimating ED to desired precision and confidence. It is subject to a constrained variation of the estimated ED and solved using the Lagrange multiplier method. The scheme incorporates measurement variation introduced both by MOSFET calibration, and by variation in MOSFET readings between repeated CT scans. Sample size requirements are illustrated on cardiac, chest, and abdomen–pelvis CT scans performed on a 320-row scanner and chest CT performed on a 16-row scanner. Results: Sample sizes for estimating ED vary considerably between scanners and protocols. Sample size increases as the required precision or confidence is higher and also as the anticipated ED is lower. For example, for a helical chest protocol, for 95% confidence and 5% precision for the ED, 30 measurements are required on the 320-row scanner and 11 on the 16-row scanner when the anticipated ED is 4 mSv; these sample sizes are 5 and 2, respectively, when the anticipated ED is 10 mSv. Conclusions: Applying the suggested scheme, it was found that even at modest sample sizes, it is feasible to estimate ED with high precision and a high degree of confidence. As CT technology develops enabling ED to be lowered, more MOSFET measurements are needed to estimate ED with the same precision and confidence.

Trattner, Sigal [Department of Medicine, Division of Cardiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States)] [Department of Medicine, Division of Cardiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States); Cheng, Bin [Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York 10032 (United States)] [Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York 10032 (United States); Pieniazek, Radoslaw L. [Center for Radiological Research, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States)] [Center for Radiological Research, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York 10032 (United States); Hoffmann, Udo [Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States)] [Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States); Douglas, Pamela S. [Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina 27715 (United States)] [Department of Medicine, Division of Cardiology, Duke University, Durham, North Carolina 27715 (United States); Einstein, Andrew J., E-mail: andrew.einstein@columbia.edu [Department of Medicine, Division of Cardiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York and Department of Radiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York (United States)

2014-04-15T23:59:59.000Z

103

Natural radioactivity in groundwater and estimates of committed effective dose due to water ingestion in the state of Chihuahua (Mexico)  

Science Journals Connector (OSTI)

......effective dose due to water ingestion in the state of Chihuahua (Mexico) L. Villalba 1 M. E. Montero-Cabrera...C. Miguel de Cervantes 120, Complejo Industrial Chihuahua, Chihuahua, C.P. 31109, Chih., Mexico 2 Departamento......

L. Villalba; M. E. Montero-Cabrera; G. Manjón-Collado; L. Colmenero-Sujo; M. Rentería-Villalobos; A. Cano-Jiménez; A. Rodríguez-Pineda; I. Dávila-Rangel; L. Quirino-Torres; E. F. Herrera-Peraza

2006-12-01T23:59:59.000Z

104

Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program  

E-Print Network [OSTI]

1993 Residential Energy Consumption survey (US DOE 1995) 3 .using the energy consumption test data collected by US EPAUS DOE, United States Department of Energy. 2004. Residential Energy Consumption

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

105

Systematic and statistical errors in a Bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors  

Science Journals Connector (OSTI)

Advanced ground-based gravitational-wave detectors are capable of measuring tidal influences in binary neutron-star systems. In this work, we report on the statistical uncertainties in measuring tidal deformability with a full Bayesian parameter estimation implementation. We show how simultaneous measurements of chirp mass and tidal deformability can be used to constrain the neutron-star equation of state. We also study the effects of waveform modeling bias and individual instances of detector noise on these measurements. We notably find that systematic error between post-Newtonian waveform families can significantly bias the estimation of tidal parameters, thus motivating the continued development of waveform models that are more reliable at high frequencies.

Leslie Wade; Jolien D.?E. Creighton; Evan Ochsner; Benjamin D. Lackey; Benjamin F. Farr; Tyson B. Littenberg; Vivien Raymond

2014-05-23T23:59:59.000Z

106

Systematic and statistical errors in a bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors  

E-Print Network [OSTI]

Advanced ground-based gravitational-wave detectors are capable of measuring tidal influences in binary neutron-star systems. In this work, we report on the statistical uncertainties in measuring tidal deformability with a full Bayesian parameter estimation implementation. We show how simultaneous measurements of chirp mass and tidal deformability can be used to constrain the neutron-star equation of state. We also study the effects of waveform modeling bias and individual instances of detector noise on these measurements. We notably find that systematic error between post-Newtonian waveform families can significantly bias the estimation of tidal parameters, thus motivating the continued development of waveform models that are more reliable at high frequencies.

Wade, Leslie; Ochsner, Evan; Lackey, Benjamin D; Farr, Benjamin F; Littenberg, Tyson B; Raymond, Vivien

2014-01-01T23:59:59.000Z

107

Systematic and statistical errors in a bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors  

E-Print Network [OSTI]

Advanced ground-based gravitational-wave detectors are capable of measuring tidal influences in binary neutron-star systems. In this work, we report on the statistical uncertainties in measuring tidal deformability with a full Bayesian parameter estimation implementation. We show how simultaneous measurements of chirp mass and tidal deformability can be used to constrain the neutron-star equation of state. We also study the effects of waveform modeling bias and individual instances of detector noise on these measurements. We notably find that systematic error between post-Newtonian waveform families can significantly bias the estimation of tidal parameters, thus motivating the continued development of waveform models that are more reliable at high frequencies.

Leslie Wade; Jolien D. E. Creighton; Evan Ochsner; Benjamin D. Lackey; Benjamin F. Farr; Tyson B. Littenberg; Vivien Raymond

2014-02-20T23:59:59.000Z

108

Estimation of Net Ecosystem Carbon Exchange for the Conterminous UnitedStates by Combining MODIS and AmeriFlux Data  

SciTech Connect (OSTI)

Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between the terrestrial biosphere and the atmosphere for regions or continents, flux tower measurements need to be extrapolated to these large areas. Here we used remotely-sensed data from the Moderate Resolution Imaging Spectrometer (MODIS) instrument on board NASA's Terra satellite to scale up AmeriFlux NEE measurements to the continental scale. We first combined MODIS and AmeriFlux data for representative U.S. ecosystems to develop a predictive NEE model using a regression tree approach. The predictive model was trained and validated using NEE data over the periods 2000-2004 and 2005-2006, respectively. We found that the model predicted NEE reasonably well at the site level. We then applied the model to the continental scale and estimated NEE for each 1 km x 1 km cell across the conterminous U.S. for each 8-day period in 2005 using spatially-explicit MODIS data. The model generally captured the expected spatial and seasonal patterns of NEE. Our study demonstrated that our empirical approach is effective for scaling up eddy flux NEE measurements to the continental scale and producing wall-to-wall NEE estimates across multiple biomes. Our estimates may provide an independent dataset from simulations with biogeochemical models and inverse modeling approaches for examining the spatiotemporal patterns of NEE and constraining terrestrial carbon budgets for large areas.

Xiao, Jingfeng; Zhuang, Qianlai; Baldocchi, Dennis D.; Law, Beverly E.; Richardson, Andrew D.; Chen, Jiquan; Oren, Ram; Starr, Gregory; Noormets, Asko; Ma, Siyan; Verma, Shashi B.; Wharton, Sonia; Wofsy, Steven C.; Bolstad, Paul V.; Burns, Sean P.; Cook, David R.; Curtis, Peter S.; Drake, Bert G.; Falk, Matthias; Fischer, Marc L.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Hollinger, David Y.; Katul, Gabriel G.; Litvak, Marcy; Martin, Timothy A.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Monson, Russell K.; Munger, J. William; Oechel, Walter C.; U, Kyaw Tha Paw; Schmid, Hans Peter; Scott, Russell L.; Sun, Ge; Suyker, Andrew E.; Torn, Margaret S.

2009-03-06T23:59:59.000Z

109

Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data  

SciTech Connect (OSTI)

Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between the terrestrial biosphere and the atmosphere for regions or continents, flux tower measurements need to be extrapolated to these large areas. Here we used remotely sensed data from the Moderate Resolution Imaging Spectrometer (MODIS) instrument on board the National Aeronautics and Space Administration's (NASA) Terra satellite to scale up AmeriFlux NEE measurements to the continental scale. We first combined MODIS and AmeriFlux data for representative U.S. ecosystems to develop a predictive NEE model using a modified regression tree approach. The predictive model was trained and validated using eddy flux NEE data over the periods 2000-2004 and 2005-2006, respectively. We found that the model predicted NEE well (r = 0.73, p < 0.001). We then applied the model to the continental scale and estimated NEE for each 1 km x 1 km cell across the conterminous U.S. for each 8-day interval in 2005 using spatially explicit MODIS data. The model generally captured the expected spatial and seasonal patterns of NEE as determined from measurements and the literature. Our study demonstrated that our empirical approach is effective for scaling up eddy flux NEE measurements to the continental scale and producing wall-to-wall NEE estimates across multiple biomes. Our estimates may provide an independent dataset from simulations with biogeochemical models and inverse modeling approaches for examining the spatiotemporal patterns of NEE and constraining terrestrial carbon budgets over large areas.

Xiao, Jingfeng; Zhuang, Qianlai; Baldocchi, Dennis D.; Bolstad, Paul V.; Burns, Sean P.; Chen, Jiquan; Cook, David R.; Curtis, Peter S.; Drake, Bert G.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Hollinger, David Y.; Katul, Gabriel G.; Law, Beverly E.; Litvak, Marcy; Ma, Siyan; Martin, Timothy A.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Monson, Russell K.; Munger, J. William; Noormets, Asko; Oechel, Walter C.; Oren, Ram; Richardson, Andrew D.; Schmid, Hans Peter; Scott, Russell L.; Starr, Gregory; Sun, Ge; Suyker, Andrew E.; Torn, Margaret S.; Paw, Kyaw; Verma, Shashi B.; Wharton, Sonia; Wofsy, Steven C.

2008-10-01T23:59:59.000Z

110

Origin State Destination State  

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

6. Estimated rail transportation rates for coal, state to state, STB data 6. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W W W W W W Alabama Georgia W W W W W W W W W W W Alabama Illinois - - - - - W W W W - W Colorado Alabama - W W W W W W W W - W Colorado Arizona W W W W W W W W W W W Colorado Arkansas - - - - W W W W - - -

111

Origin State Destination State  

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

5. Estimated barge transportation rates for coal, state to state, EIA data 5. Estimated barge transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $4.31 $4.36 $5.01 7.9 15.0 Alabama Ohio W - - - - Colorado Alabama W - - - - Colorado Florida $11.08 $12.65 $13.27 9.4 4.9 Colorado Indiana $6.29 W - - - Colorado Iowa W - - - - Colorado Kentucky W - - - - Colorado Mississippi - - W - - Colorado Ohio - W - - - Colorado Tennessee W - - - - Illinois Alabama W $13.15 $14.28 W 8.6

112

Origin State Destination State  

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

8. Estimated truck transportation rates for coal, state to state, EIA data 8. Estimated truck transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama W W W W W Alabama Georgia - - W - - Alabama Indiana W W - - - Colorado Colorado W W W W W Colorado Michigan - - W - - Illinois Florida W - - - - Illinois Illinois $7.51 $4.74 $3.37 -33.0 -28.8 Illinois Indiana W W - - - Illinois Minnesota W W - - - Illinois Missouri $21.73 $20.23 $13.30 -21.8 -34.3 Indiana Alabama - W - - -

113

Origin State Destination State  

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

5. Estimated rail transportation rates for coal, state to state, STB data 5. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W W W W W W Alabama Georgia W W W W W W W W W W W Alabama Illinois - - - - - W W W W - W Colorado Alabama - W W W W W W W W - W Colorado Arizona W W W W W W W W W W W Colorado Arkansas - - - - W W W W - - -

114

Origin State Destination State  

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

4. Estimated rail transportation rates for coal, state to state, STB data 4. Estimated rail transportation rates for coal, state to state, STB data Origin State Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W W W W W W Alabama Georgia W W W W W W W W W W W Alabama Illinois - - - - - W W W W - W Colorado Alabama - W W W W W W W W - W Colorado Arizona W W W W W W W W W W W Colorado Arkansas - - - - W W W W - - -

115

Origin State Destination State  

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

6. Estimated barge transportation rates for coal, state to state, EIA data 6. Estimated barge transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $3.97 $3.97 $4.52 6.7 13.7 Alabama Ohio W - - - - Colorado Alabama W - - - - Colorado Florida $10.21 $11.53 $11.95 8.2 3.7 Colorado Indiana $5.79 W - - - Colorado Iowa W - - - - Colorado Kentucky W - - - - Colorado Mississippi - - W - - Colorado Ohio - W - - - Colorado Tennessee W - - - - Illinois Alabama W $11.99 $12.87 W 7.3

116

Origin State Destination State  

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

7. Estimated truck transportation rates for coal, state to state, EIA data 7. Estimated truck transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama W W W W W Alabama Georgia - - W - - Alabama Indiana W W - - - Colorado Colorado W W W W W Colorado Michigan - - W - - Illinois Florida W - - - - Illinois Illinois $8.16 $5.20 $3.75 -32.2 -27.9 Illinois Indiana W W - - - Illinois Minnesota W W - - - Illinois Missouri $23.60 $22.20 $14.77 -20.9 -33.5 Indiana Alabama - W - - -

117

Estimating Methods  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

1997-03-28T23:59:59.000Z

118

Origin State Destination State  

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

8. Estimated rail transportation rates for coal, state to state, EIA data 8. Estimated rail transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $13.29 $12.39 $13.93 2.4 12.5 Alabama Georgia $17.62 $17.84 $20.09 6.8 12.6 Alabama Kentucky - W - - - Alabama New Jersey W - - - - Alabama Pennsylvania - W - - - Arizona Arizona W W W W W Colorado Alabama $31.79 $27.66 $24.93 -11.5 -9.9 Colorado Arizona $25.97 W - - - Colorado Arkansas W - - - - Colorado California - $34.20 $46.22 - 35.1 Colorado Colorado $13.04 $7.72 $8.13 -21.1 5.3

119

Origin State Destination State  

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

Estimated rail transportation rates for coal, state to state, EIA data Estimated rail transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama $14.43 $13.59 $15.46 3.5 13.8 Alabama Georgia $19.13 $19.58 $22.30 8.0 13.9 Alabama Kentucky - W - - - Alabama New Jersey W - - - - Alabama Pennsylvania - W - - - Arizona Arizona W W W W W Colorado Alabama $34.52 $30.35 $27.67 -10.5 -8.8 Colorado Arizona $28.20 W - - - Colorado Arkansas W - - - - Colorado California - $37.53 $51.30 - 36.7 Colorado Colorado $14.16 $8.47 $9.02 -20.2 6.6

120

E-Print Network 3.0 - area estimators based Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Primer on small area estimation - direct and indirect estimation - synthetic... and composite estimation - borrowing strength and shrinkage - ... Source: Colorado State...

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Revisiting Assumptions that Underlie Estimates of Proportional Entrainment of Delta Smelt by State and Federal Water Diversions from the Sacramento-San Joaquin Delta  

E-Print Network [OSTI]

Valley Project and State Water Project and the operationalof Delta Smelt by State and Federal Water Diversions fromActs in 1993. State and federal water export pumps, located

Miller, William J.

2011-01-01T23:59:59.000Z

122

Cost Estimator  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as a senior cost and schedule estimator who is responsible for preparing life-cycle cost and schedule estimates and analyses associated with the...

123

Environmental and Experimental Botany 70 (2011) 227232 Contents lists available at ScienceDirect  

E-Print Network [OSTI]

strategies against heavy metals, such as avoidance, chelation and sequestration inside the cells, or efflux). Regulation of antioxidative enzymes and control of glutathione (GSH) redox status help heavy metal resistance Pollution Control and Remediation Technology, Guangzhou 510275, PR China a r t i c l e i n f o Article

Ma, Lena

124

United States (48 Contiguous States) Wind Resource Potential...  

Wind Powering America (EERE)

Rated Capacity Above Indicated CF (GW) United States (48 Contiguous States) - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates...

125

Quantum Process Estimation with an Unknown Detector  

Science Journals Connector (OSTI)

We present an operational approach to quantum process estimation, where the detector response is characterized directly by a set of probe states. Numerical simulations are presented...

Karpinski, Michal; Cooper, Merlin; Smith, Brian J

126

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

127

Knowledge and ignorance in quantum state estimation  

Science Journals Connector (OSTI)

An overview of quantum reconstruction methods based on statistical interpretation is presented. In realistic experiments there is always a part of missing information yielding...

Hradil, Zdenek; Rehacek, Jaroslav

128

State Energy Production Data  

Gasoline and Diesel Fuel Update (EIA)

State Energy Data System State Energy Data System Production Estimates Technical Notes For 1960-2011 Estimates Table of Contents Section 1. Introduction ................................................................................................................... 1 Section 2. Coal ............................................................................................................................... 5 Section 3. Crude Oil ....................................................................................................................... 7 Section 4. Natural Gas (Marketed Production) .............................................................................. 9 Section 5. Renewable Energy and Nuclear Energy ..................................................................... 13

129

States | OpenEI  

Open Energy Info (EERE)

States States Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

130

Estimated Cost Description Determination Date:  

Broader source: Energy.gov (indexed) [DOE]

and posted 2/10/2011 and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-11 Estimated Schedule (**NEPA Milestones) South Carolina Department of Health and Environmental Control (SCDHEC) issued a National Pollutant Discharge Elimination System (NPDES) Industrial Stormwater General Permit (IGP) # SCR000000 November 12, with an effective date of January

131

State Summaries  

Gasoline and Diesel Fuel Update (EIA)

46. 46. Percent Distribution of Natural Gas Supply and Disposition by State, 1996 Table State Estimated Proved Reserves (dry) Marketed Production Total Consumption Alabama................................................................... 3.02 2.69 1.48 Alaska ...................................................................... 5.58 2.43 2.04 Arizona..................................................................... NA 0 0.55 Arkansas.................................................................. 0.88 1.12 1.23 California.................................................................. 1.25 1.45 8.23 Colorado .................................................................. 4.63 2.90 1.40 Connecticut.............................................................. 0 0 0.58 D.C...........................................................................

132

Optimal monitoring and visualization of steady state power system operation  

E-Print Network [OSTI]

the Supervisory Control and Data Acquisition System (SCADA) and feeding them into state estimation function, state estimation can provide an estimate for all measured and unmeasured electrical quantities and network parameters of the entire power system, detect...

Xu, Bei

2009-06-02T23:59:59.000Z

133

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population;TABLE OF CONTENTS Page F- Part I. Estimates of Dose...........................................................................................40 Comparison to dose estimates from global fallout

134

Attribution and Apportionment - Preliminary Estimation Procedures  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Preliminary Estimation Procedures Preliminary Estimation Procedures FHWA completes several steps in the motor fuel analysis process prior to beginning the annual State-by-State analysis. These steps include an estimation of non-highway fuel uses, public fuel uses, and gasohol consumption. The estimation models are briefly described below. The models require data from several outside sources. One major dataset is the Census Bureau's Vehicle Inventory and Use Survey (VIUS). This data set contains information on annual vehicle miles of travel, percent of off-road use, major use of the truck (agriculture, retail, etc.), engine type, and the State in which the truck is registered. VIUS does not, however, provide a fuel use breakdown between gasoline and gasohol, on-road versus off-road fuel economy, or a distribution of off-road travel by State. The VIUS is conducted every five years; the latest survey was in 1997.

135

REPORT NO. 4 ESTIMATES AND EVALUATION OF  

E-Print Network [OSTI]

ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Section II History of Nuclear Weapons Testing. . . . . . . . . . . . . . . . 4 Section III Atmospheric, "Health Implications of Fallout From Nuclear Weapons Testing Through 1961", May 1962

136

A robustness application for linear estimation  

E-Print Network [OSTI]

, recursive algorithm for yielding estimates of the state of a linear dynamic system (see, for example, the excellent tutorial [1]). Many other applications of this estimation scheme exist in the areas of signal processing, power systems, telecommunications... on robustness causes the coefficient which maximizes J to approach the coefficient which produces maximum robustness. 37 REFERENCES [1] I. B. Rhodes, "A Tutorial Introduction to Estimation and Filtering, "IEEE Trans. on Automatic Control, vol. AC-16, pp...

Kitzman, Kenneth Victor

1990-01-01T23:59:59.000Z

137

An Invariant Form for the Prior Probability in Estimation Problems  

Science Journals Connector (OSTI)

...Invariant Form for the Prior Probability in Estimation Problems...for stating the prior probability in a large class of...invariant form for the prior probability in estimation problems. | Journal Article | Statistics as Topic | STATISTICS...

1946-01-01T23:59:59.000Z

138

Cost Estimation Package  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

1997-03-28T23:59:59.000Z

139

United States Department of  

E-Print Network [OSTI]

United States Department of Agriculture Forest Service Pacific Northwest Research Station General.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 25 p. Estimates of forest of California's legislatively mandated green- house gas inventory. Reliable estimates of live-tree carbon stores

Fried, Jeremy S.

140

Table E6. Transportation Sector Energy Price Estimates, 2012  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

E6. Transportation Sector Energy Price Estimates, 2012 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy Coal Natural Gas Petroleum Total Aviation...

Note: This page contains sample records for the topic "70-2011 estimates state" 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

A critical review of methods used in the estimation of natural gas reserves: Natural gas reserves in the state of Texas. Some educational prerequisites in the field of petroleum economics and evaluation.  

E-Print Network [OSTI]

-Associated Gas Reserves Volumetr ic Method Discussion of the Factors in tne Volumetri. Formula The Decline Curve Method 7 7 12 Ie Methods of Estimating Associated Gas Reserves Methods of Estimatmg Dissolved Gas Reserves Water Drive Constant Voluxne... Bibliography 58 TABLE of ILLUSTRATIONS ~Pa e A CRITICAI REVIEW OF METHODS USED IN THE ESTIMATION OF NATURAL GAS RESERVES Curves Curve No Curves Showing Change in the Compressi- bility Factor with Depth and Composition of the Wet Gas. Z4-A Curve No...

Crichton, John Alston

2012-06-07T23:59:59.000Z

142

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

CHP Emissions Reduction Estimator CHP Emissions Reduction Estimator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CHP Emissions Reduction Estimator Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/chp/basic/calculator.html Country: United States UN Region: Northern America CHP Emissions Reduction Estimator Screenshot References: http://www.epa.gov/chp/basic/calculator.html "This Emissions Estimator provides the amount of reduced emissions in terms of pounds of CO2, SO2, and NOX based on input from the User regarding the CHP technology being used. In turn the User will be provided with

143

Check Estimates and Independent Costs  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

1997-03-28T23:59:59.000Z

144

Radiation Dose Estimates from  

E-Print Network [OSTI]

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air- tantly, what radiation dose people may have received. An independent Technical Steering Panel (TSP, additionalProjectworkcouldresultin revisions of these dose estimates. April 21, 1994 Companion

145

Types of Cost Estimates  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

1997-03-28T23:59:59.000Z

146

External Dose Estimates from  

E-Print Network [OSTI]

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure-MQ-003539 March 15, 2000 G-2 #12;Abstract This report provides estimates of the external radiation-62. Estimates are given on a county by county basis for each month from 1953-1972. The average population dose

147

External Dose Estimates from  

E-Print Network [OSTI]

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure. 1, 1999) E-2 #12;Abstract This report provides estimates of the external radiation exposure of this report to: "Prepare crude estimates of the doses from external irradiation received by the American

148

Cost Estimating and Cost Management Capacity Building Workshop  

E-Print Network [OSTI]

Cost Estimating and Cost Management Capacity Building Workshop August 11-13, 2010 Coffman Memorial 574 guidebook on cost estimating and cost management · To learn how states are moving forward with the implementation of the guidebook or other initiatives related to cost estimating and cost management · To share

Minnesota, University of

149

State energy price and expenditure report 1994  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

NONE

1997-06-01T23:59:59.000Z

150

How the Carbon Emissions Were Estimated  

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

How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated Carbon dioxide emissions are the main component of greenhouse gas emissions caused by human activity. Carbon dioxide is emitted mostly as a byproduct of the combustion of fossil fuels for energy, although certain industrial processes (e.g., cement manufacture) also emit carbon dioxide. The estimates of energy-related carbon emissions require both data on the energy use and carbon emissions coefficients relating energy use to the amount of carbon emitted. The Energy Information Administration (EIA) is the main source of data on U.S. energy use. Emissions of Greenhouse Gases in the United States 1998 used annual data provided by energy suppliers. However, to obtain more detail on how different sectors use energy, the emissions estimates in Energy and GHG Analysis rely data from on surveys of energy users, such as manufacturing establishments and commercial buildings.

151

Introduction Estimation paramtrique (exemples)  

E-Print Network [OSTI]

Introduction Estimation paramétrique (exemples) FARMAN : Laboratoire SATIE Jean-Pierre Barbot J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 1/36 #12;Introduction Estimation paramétrique (exemples de paramètres de synchronisation (VDSL 2) J.P. Barbot Séminaires FARMAN (Traitement du Signal) - 2

152

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix H Internal Dose Estimates from Global Fallout H-1 #12;Radiation Dose to the Population. 263-MQ-008090 September 30, 2000 H-2 #12;Radiation Dose to the Population of the Continental United Site Part I. Estimates of Dose Lynn R. Anspaugh Lynn R. Anspaugh, Consulting Salt Lake City, UT Report

153

Estimating Specialty Costs  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

1997-03-28T23:59:59.000Z

154

Quantum limits to estimation of photon deformation  

E-Print Network [OSTI]

We address potential deviations of radiation field from the bosonic behaviour and employ local quantum estimation theory to evaluate the ultimate bounds to precision in the estimation of these deviations using quantum-limited measurements on optical signals. We consider different classes of boson deformation and found that intensity measurement on coherent or thermal states would be suitable for their detection making, at least in principle, tests of boson deformation feasible with current quantum optical technology. On the other hand, we found that the quantum signal-to-noise ratio (QSNR) is vanishing with the deformation itself for all the considered classes of deformations and probe signals, thus making any estimation procedure of photon deformation inherently inefficient. A partial way out is provided by the polynomial dependence of the QSNR on the average number of photon, which suggests that, in principle, it would be possible to detect deformation by intensity measurements on high-energy thermal states.

Giovanni De Cillis; Matteo G. A. Paris

2014-07-08T23:59:59.000Z

155

State Volume  

Gasoline and Diesel Fuel Update (EIA)

Volume of Natural Gas Delivered to Processing Plants (million cubic feet) Total Liquids Extracted (thousand barrels) Extraction Loss Located Within the State Located Outside of the State Total Processed Volume (million cubic feet Estimated Heat Content (billion Btu) Alabama...................... 111,656 2,614 114,270 4,476 5,810 18,610 Alaska ......................... 2,987,364 0 2,987,364 33,346 38,453 148,444 Arkansas..................... 214,868 161 215,029 237 474 977 California..................... 240,566 0 240,566 9,798 12,169 41,037 Colorado ..................... 493,748 1,249 494,997 16,891 23,420 63,411 Florida......................... 5,900 0 5,900 1,130 1,143 4,202 Illinois.......................... 578 0 578 63 64 271 Kansas........................ 825,825 2,731 828,556 30,617 41,115 120,221 Kentucky .....................

156

State energy price and expenditure report 1991  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

Not Available

1993-09-01T23:59:59.000Z

157

Cost Estimating Guide  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

2011-05-09T23:59:59.000Z

158

: Helmholtz machine estimation .  

E-Print Network [OSTI]

: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self

159

State energy price and expenditure report, 1995  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.

NONE

1998-08-01T23:59:59.000Z

160

b) Economic i) Total damage estimates: From Pimentel et al. (2000)  

E-Print Network [OSTI]

4) Impacts b) Economic i) Total damage estimates: From Pimentel et al. (2000) · United States #12;4) Impacts b) Economic i) Total damage estimates: From Pimentel et al. (2000) · United States Economic impacts from losses/damage #12;4) Impacts b) Economic i) Total damage estimates: From Pimentel et al

Nowak, Robert S.

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Quantum enhanced estimation of optical detector efficiencies  

E-Print Network [OSTI]

Quantum mechanics establishes the ultimate limit to the scaling of the precision on any parameter, by iden- tifying optimal probe states and measurements. While this paradigm is, at least in principle, adequate for the metrology of quantum channels involving the estimation of phase and loss parameters, we show that estimat- ing the loss parameters associated with a quantum channel and a realistic quantum detector are fundamentally different. While Fock states are provably optimal for the former, we identify a crossover in the nature of the optimal probe state for estimating detector imperfections as a function of the loss parameter. We provide explicit results for on-off and homodyne detectors, the most widely used detectors in quantum photonics technologies.

Barbieri, Marco; Bartley, Tim J; Jin, Xian-Min; Kolthammer, W Steven; Walmsley, Ian A

2015-01-01T23:59:59.000Z

162

Title, Location, Document Number Estimated Cost Description  

Broader source: Energy.gov (indexed) [DOE]

1/23/2013 1/23/2013 Transmittal to State: TBD EA Approval: TBD FONSI: TBD EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: EA Determination Date: Transmittal to State: EA Approval: FONSI: Total Estimated Cost $0 Office of Legacy Management Jan-13 Annual NEPA Planning Summary Evaluation of Proposed Grazing on the Maybell and Maybell West UMTRCA sites, Colorado TBD DOE is seeking reuse of the lands associated with the Maybell and Maybell West UMTRCA disposal sites in Moffat County, in northwestern Colorado. Potential impacts from grazing would be evaluated in this EA. The schedule and costs have yet to be determined since EA determination was recently made.

163

Weekly Coal Production Estimation Methodology  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio...

164

Battery Calendar Life Estimator Manual Modeling and Simulation  

SciTech Connect (OSTI)

The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

2012-10-01T23:59:59.000Z

165

REQUESTS FOR RETIREMENT ESTIMATE  

Broader source: Energy.gov (indexed) [DOE]

REQUEST FOR RETIREMENT ANNUITY ESTIMATE REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________ _____________________ Name (last, first, middle) Last four SSN Date of Birth ___________________________ _________________________ __________________________ Organization Office Telephone Number Fax Number

166

Estimates of US biofuels consumption, 1990  

SciTech Connect (OSTI)

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Not Available

1991-10-01T23:59:59.000Z

167

State energy price and expenditure report 1989  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

Not Available

1991-09-30T23:59:59.000Z

168

Kalman Filter Constraint Switching for Turbofan Engine Health Estimation  

E-Print Network [OSTI]

, Estimation, Quadratic Pro- gramming, Residuals, Gas Turbine Engines. 1 Introduction For linear dynamic to constrain the state estimates. The confidence measure is based on the agreement of measurement residuals with their theoretical values. If some measurement residuals are low, and those residuals are highly sensitive to a given

Simon, Dan

169

Resource Optimization in a Wireless Sensor Network with Guaranteed Estimator  

E-Print Network [OSTI]

algorithm at the fusion center, and provide a closed-form expression for the steady-state error covariance energy consumption and guarantees a desired level of estimation quality at the fusion center. We further a single sensor may not be enough to provide a desired level of estimation quality, and data fusion from

Murray, Richard M.

170

New Results in Stability, Control, and Estimation of Fractional Order Systems  

E-Print Network [OSTI]

of control and estimation, even for systems where fractional order models do not arise “naturally”. This dissertation is aimed at further building of the base methodology with a focus on robust feedback control and state estimation. By setting...

Koh, Bong Su

2012-07-16T23:59:59.000Z

171

Basin Destination State  

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

3. Estimated rail transportation rates for coal, basin to state, EIA data 3. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware $28.49 - W W - Northern Appalachian Basin Florida - $38.51 $39.67 - 3.0 Northern Appalachian Basin Georgia - W - - - Northern Appalachian Basin Indiana $20.35 $16.14 $16.64 -9.6 3.1 Northern Appalachian Basin Kentucky - - W - - Northern Appalachian Basin Maryland $19.64 $19.60 $20.41 1.9 4.2 Northern Appalachian Basin Michigan $14.02 $16.13 $16.23 7.6 0.6 Northern Appalachian Basin New Hampshire $43.43 $40.18 $39.62 -4.5 -1.4

172

Basin Destination State  

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

4. Estimated rail transportation rates for coal, basin to state, EIA data 4. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware $26.24 - W W - Northern Appalachian Basin Florida - $35.10 $35.74 - 1.8 Northern Appalachian Basin Georgia - W - - - Northern Appalachian Basin Indiana $18.74 $14.70 $14.99 -10.6 1.9 Northern Appalachian Basin Kentucky - - W - - Northern Appalachian Basin Maryland $18.09 $17.86 $18.39 0.8 3.0 Northern Appalachian Basin Michigan $12.91 $14.70 $14.63 6.4 -0.5 Northern Appalachian Basin New Hampshire $40.00 $36.62 $35.70 -5.5 -2.5

173

Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant  

DOE Patents [OSTI]

System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.

Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa

2013-09-17T23:59:59.000Z

174

Estimating SCR installation costs  

SciTech Connect (OSTI)

The EUCG surveyed 72 separate US installations of selective catalytic reduction (SCR) systems at coal-fired units totalling 41 GW of capacity to identify the systems' major cost drivers. The results, summarized in this article, provide excellent first-order estimates and guidance for utilities considering installing the downstream emissions-control technology. 4 figs., 1 tab.

Marano, M.; Sharp, G. [American Electric Power (United States)

2006-01-15T23:59:59.000Z

175

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

176

Use of Cost Estimating Relationships  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

1997-03-28T23:59:59.000Z

177

Reinforcing flood–risk estimation  

Science Journals Connector (OSTI)

...publication of the Flood estimation handbook, studies of ood risk are now...especially for its neglect of the physics of catchment pro- cesses of...recommended in the Flood estimation handbook (Institute of Hydrology 1999...estimates. The Flood estimation handbook (Institute of Hydrology 1999...

2002-01-01T23:59:59.000Z

178

Adjusted Estimates of Texas Natural Gas Production  

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

1 Energy Information Administration 1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO 2 ) production. Normally, EIA would wait until publication of the Natural Gas Annual (NGA) before revising the 2004 data, but the adjustments for CO 2 are large enough to warrant making the changes at this time. Prior to 2005, EIA relied exclusively on the voluntary sharing of production data by state and federal government entities to develop its natural gas production estimates. In 2005, EIA began collecting production data directly from operators on the new EIA-914 production

179

Los Alamos PC estimating system  

SciTech Connect (OSTI)

The Los Alamos Cost Estimating System (QUEST) is being converted to run on IBM personal computers. This very extensive estimating system is capable of supporting cost estimators from many different and varied fields. QUEST does not dictate any fixed method for estimating. QUEST supports many styles and levels of detail estimating. QUEST can be used with or without data bases. This system allows the estimator to provide reports based on levels of detail defined by combining work breakdown structures. QUEST provides a set of tools for doing any type of estimate without forcing the estimator to use any given method. The level of detail in the estimate can be mixed based on the amount of information known about different parts of the project. The system can support many different data bases simultaneously. Estimators can modify any cost in any data base.

Stutz, R.A.; Lemon, G.D.

1987-01-01T23:59:59.000Z

180

Title, Location, Document Number Estimated Cost Description  

Broader source: Energy.gov (indexed) [DOE]

Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Moody to Lev, SUBJECT: NEPA 2012 APS for DOE-SRS, Dated: JAN 25 2012 Title, Location, Document Number Estimated Cost Description EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain EA Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $65,000 Annual NEPA Planning Summary NEPA Reviews of Proposals to Implement Enterprise SRS Initiatives unknown The Savannah River Site Strategic Plan for 2011 - 2015 describes 12 initiatives that Enterprise SRS will pursue by applying SRS's management core competencies in nuclear materials. Implementation of new missions resulting from this effort will likely require NEPA review. However, until firm proposals are developed

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Process Equipment Cost Estimation, Final Report  

Office of Scientific and Technical Information (OSTI)

Process Equipment Cost Estimation Process Equipment Cost Estimation Final Report January 2002 H.P. Loh U.S. Department of Energy National Energy Technology Laboratory P.O. Box 10940, 626 Cochrans Mill Road Pittsburgh, PA 15236-0940 and P.O. Box 880, 3610 Collins Ferry Road Morgantown, WV 26507-0880 and Jennifer Lyons and Charles W. White, III EG&G Technical Services, Inc. 3604 Collins Ferry Road, Suite 200 Morgantown, WV 26505 DOE/NETL-2002/1169 ii Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus,

182

NPP Estimation for Grasslands  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

NPP for Grasslands NPP for Grasslands Introduction The Oak Ridge DAAC Net Primary Production (NPP) Database includes field measurements from grassland study sites worldwide. The following brief review and discussion is intended to explain the complexity of NPP estimates derived from grassland measurements. There is no single answer to the question, "What is the productivity of the ecosystem at study site A?"; rather there may be range of estimates of NPP, depending upon what data were actually collected and how these data are processed. Although some of these methods for determining NPP for grasslands may be applicable to other vegetation types (e.g., semi-deserts, tundra, or some crops), methods for forests, in particular, are significantly different. Nevertheless, it should be possible to answer the question, "Is this modelled value of NPP reasonable for this ecosystem type at this location?"

183

State energy price and expenditure report 1992  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.

Not Available

1994-12-01T23:59:59.000Z

184

title Estimating Policy Driven Greenhouse Gas Emissions Trajectories  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating Policy Driven Greenhouse Gas Emissions Trajectories Estimating Policy Driven Greenhouse Gas Emissions Trajectories in California The California Greenhouse Gas Inventory Spreadsheet GHGIS Model year month institution Lawrence Berkeley National Laboratory address Berkeley abstract p A California Greenhouse Gas Inventory Spreadsheet GHGIS model was developed to explore the impact of combinations of state policies on state greenhouse gas GHG and regional criteria pollutant emissions The model included representations of all GHGemitting sectors of the California economy including those outside the energy sector such as high global warming potential gases waste treatment agriculture and forestry in varying degrees of detail and was carefully calibrated using available data and projections from multiple state agencies and

185

Robust Single-Qubit Process Calibration via Robust Phase Estimation  

E-Print Network [OSTI]

An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].

Shelby Kimmel; Guang Hao Low; Theodore J. Yoder

2015-02-09T23:59:59.000Z

186

Electric Power detailed State data  

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

Detailed State Data Detailed State Data Annual data for 2012 Release Date: November 12, 2013 Next Release Date: November 2014 Revision/Corrections Annual data format 1990 - 2012 Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923)1 XLS 1990 - 2012 Fossil Fuel Consumption for Electricity Generation by Year, Industry Type and State (EIA-906, EIA-920, and EIA-923)2 XLS 1990 - 2011 Existing Nameplate and Net Summer Capacity by Energy Source, Producer Type and State (EIA-860)1, 3 XLS 2011 - 2016 Proposed Nameplate and Net Summer Capacity by Year, Energy Source, and State (EIA-860)1 XLS 1990 - 2011 U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923)4 XLS 1990 - 2012 Average Price by State by Provider (EIA-861)5 XLS

187

Efficient estimation of thermodynamic state incorporating Bayesian model order selection  

E-Print Network [OSTI]

, infrared, FLIR 1. INTRODUCTION In 1993, our group began an effort to apply Grenander's pattern theory 1­looking infrared (FLIR) camera. 3--6 Three­dimensional, CAD shape­models represented the objects of interest; a likelihood function, modeling the physics of FLIR cameras, encapsulated the way the objects were seen

Lanterman, Aaron

188

RESEARCH Open Access Accurate state estimation from uncertain data  

E-Print Network [OSTI]

developed for numerical weather prediction, to two different mathematical models of glioblastoma, taking model (such as a numerical weather model) by combining new observations with one or more prior forecasts of quantitative prediction in complex spatio- temporal models of biological processes. In particular, we address

Kuang, Yang

189

State estimation of probabilistic hybrid systems with particle filters  

E-Print Network [OSTI]

Robotic and embedded systems have become increasingly pervasive in every-day applications, ranging from space probes and life support systems to autonomous rovers. In order to act robustly in the physical world, robotic ...

Funiak, Stanislav, 1978-

2004-01-01T23:59:59.000Z

190

Real-time state estimation of laboratory flows  

E-Print Network [OSTI]

In this project, we use a real time computer model to simulate a differentially heated laboratory annulus. The laboratory annulus allows us to study chaotic flows typical of the atmosphere. Our objective is to bring the ...

Stransky, Scott (Scott M.)

2007-01-01T23:59:59.000Z

191

Bayesian Linear State Estimation using Smart Meters and PMUs Measurements  

E-Print Network [OSTI]

Arghandeh, CIEE Calif. Inst. for Ener. and Envir. #12;Can we bring PMU to distribution grids ? ! Develop a ultra-high-resolution micro- PMU for measuring voltage angles ! develop a wireless network optimized unbalanced #12;Can we measure voltage phasors? Phasor Measurement Unit (PMU) · GPS timestamps · Measure

Schenato, Luca

192

OPTIMAL PLACEMENT AND UTILIZATION OF PHASOR MEASUREMENTS FOR STATE ESTIMATION  

E-Print Network [OSTI]

as the bad data processing problem. Detection and identification of PMU failures are demonstrated via presents a procedure by which new PMU locations can be systematically determined in order to render measurement unit (PMU). Buses with zero and non- zero injections, and branches with power flow measure- ments

193

The Lithium-Ion Cell: Model, State Of Charge Estimation  

E-Print Network [OSTI]

Eery:Cellbehavior SAFT, "MP176065" Datasheet #12;LithiumionbaEery:Celldegrada+onprofiles ChargingVoltage Discharging

Schenato, Luca

194

Parameter Estimation Through Ignorance  

E-Print Network [OSTI]

Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

Hailiang Du; Leonard A. Smith

2012-06-06T23:59:59.000Z

195

State and National Wind Resource Potential at Various Capacity...  

Wind Powering America (EERE)

4 8 650 1 2 806 3 0 69% 75 5% 14 031 7 49 073 Estimates of Windy 1 Land Area and Wind Energy Potential, by State, for areas > 35% Capacity Factor at 80m These estimates show, for...

196

State energy data | OpenEI  

Open Energy Info (EERE)

0 0 Varnish cache server State energy data Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown Keywords EIA Energy Consumption Energy Expenditures energy prices energy production SEDS State energy data States US Data text/csv icon Complete SEDS dataset as csv (may be too big for Excel) (csv, 40.6 MiB)

197

Cost Estimating, Analysis, and Standardization  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

1984-11-02T23:59:59.000Z

198

Doubly Excited States in Lithium  

Science Journals Connector (OSTI)

Doubly and triply excited states of lithium are considered in an effort to identify the energy levels responsible for the several narrow lines present in the optical spectrum of that element which are not classifiable in the normal singly excited spectra of that atom. Since most of these states are coupled to continuum states through the electrostatic interaction of the electrons and will thus have extremely short lifetimes, a majority of the multiply excited states can be excluded from consideration in identifying these narrow lines. The observed narrow spectral lines can be plasuibly identified on the basis of screening-theory estimates of the energies.

J. D. Garcia and J. E. Mack

1965-05-17T23:59:59.000Z

199

Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates  

SciTech Connect (OSTI)

The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

2012-12-01T23:59:59.000Z

200

Lease Condensate Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

82 181 173 178 224 231 1979-2011 82 181 173 178 224 231 1979-2011 Federal Offshore U.S. 58 58 41 48 48 40 1981-2011 Pacific (California) 0 0 0 0 0 0 1979-2011 Louisiana & Alabama 37 40 28 28 28 24 1981-2011 Texas 21 18 13 20 20 16 1981-2011 Alaska 0 0 0 0 0 20 1979-2011 Lower 48 States 182 181 173 178 224 211 1979-2011 Alabama 2 2 2 2 2 2 1979-2011 Arkansas 0 0 0 0 0 0 1979-2011 California 0 0 0 0 0 0 1979-2011 Coastal Region Onshore 0 0 0 0 0 0 1979-2011 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2011 San Joaquin Basin Onshore 0 0 0 0 0 0 1979-2011 State Offshore 0 0 0 0 0 0 1979-2011 Colorado 6 6 7 7 7 8 1979-2011 Florida 0 0 0 0 0 0 1979-2011 Kansas 1 1 1 1 2 1 1979-2011 Kentucky 0 0 0 0 0 0 1979-2011

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Texas--State Offshore Coalbed Methane Production (Billion Cubic...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Date: 12312015 Referring Pages: Coalbed Methane Estimated Production Texas State Offshore Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane...

202

California--State Offshore Natural Gas Liquids Lease Condensate...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Date: 12312015 Referring Pages: Lease Condensate Estimated Production CA, State Offshore Lease Condensate Proved Reserves, Reserve Changes, and Production Lease Condensate...

203

Louisiana--State Offshore Coalbed Methane Production (Billion...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Release Date: 12312015 Referring Pages: Coalbed Methane Estimated Production LA, State Offshore Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane...

204

Mapping and Assessment of the United States Ocean Wave Energy...  

Open Energy Info (EERE)

Mapping and Assessment of the United States Ocean Wave Energy Resource This project estimates the naturally available and technically recoverable U.S. wave energy resources, using...

205

654 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 18, NO. 3, MAY 2010 Model-Based Electrochemical Estimation and  

E-Print Network [OSTI]

in the literature. Accurate estimation of the battery's internal electrochemical state enables an expanded range governor, state-of-charge (SOC) estimation. I. INTRODUCTION MODEL-BASED battery monitoring algorithms theories, captures relevant solid-state and electrolyte diffusion dynamics and accurately predicts current

206

Multiple phase estimation in quantum cloning machines  

E-Print Network [OSTI]

Since the initial discovery of the Wootters-Zurek no-cloning theorem, a wide variety of quantum cloning machines have been proposed aiming at imperfect but optimal cloning of quantum states within its own context. Remarkably, most previous studies have employed the Bures fidelity or the Hilbert-Schmidt norm as the figure of merit to characterize the quality of the corresponding cloning scenarios. However, in many situations, what we truly care about is the relevant information about certain parameters encoded in quantum states. In this work, we investigate the multiple phase estimation problem in the framework of quantum cloning machines, from the perspective of quantum Fisher information matrix (QFIM). Focusing on the generalized d-dimensional equatorial states, we obtain the analytical formulas of QFIM for both universal quantum cloning machine (UQCM) and phase-covariant quantum cloning machine (PQCM), and prove that PQCM indeed performs better than UQCM in terms of QFIM. We highlight that our method can be generalized to arbitrary cloning schemes where the fidelity between the single-copy input and output states is input-state independent. Furthermore, the attainability of the quantum Cramer-Rao bound is also explicitly discussed.

Yao Yao; Li Ge; Xing Xiao; Xiao-guang Wang; Chang-pu Sun

2014-07-22T23:59:59.000Z

207

Mandatory Photovoltaic System Cost Estimate | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Mandatory Photovoltaic System Cost Estimate Mandatory Photovoltaic System Cost Estimate Mandatory Photovoltaic System Cost Estimate < Back Eligibility Utility Savings Category Solar Buying & Making Electricity Program Info State Colorado Program Type Line Extension Analysis Provider Colorado Public Utilities Commission At the request of a customer or a potential customer, Colorado electric utilities are required to conduct a cost comparison of a photovoltaic (PV) system to any proposed distribution line extension if the customer or potential customer provides the utility with load data (estimated monthly kilowatt-hour usage) requested by the utility to conduct the comparison, and if the customer's or potential customer's peak demand is estimated to be less than 25 kilowatts (kW). In performing the comparison analysis, the

208

State space models, filtering and environmental applications  

E-Print Network [OSTI]

;Section 1 Introductory Examples Postprocessing of numerical weather predictions Data assimilation for weather prediction Stochastic reaction networks Rare event estimation Basics of state space models Numerical weather predictions (MWP) are deterministic with high spatial and temporal resolution. Statistical

Künsch, Hans Rudolf

209

United States Wind Resource Potential Chart  

Wind Powering America (EERE)

18,000 Rated Capacity Above Indicated CF (GW) United States - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential...

210

State energy price and expenditure report 1993  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 states and the District of Columbia and in aggregate for the US. The five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.

NONE

1995-12-01T23:59:59.000Z

211

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

Burn Non-Lignite Coal Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: October 2010 Section 1. Commentary Electric Power Data In October 2010, the contiguous United States experienced temperatures that were above average. Accordingly, the total population-weighted heating degree days for the United States were 15.6 percent below the October normal. Retail sales of electricity remained relatively unchanged from October 2009. Over the same period, the average U.S. retail price of electricity increased 1.8 percent. For the 12-month period ending October 2010, the average U.S.

212

Colorado State University Extension. 2011.  

E-Print Network [OSTI]

by the Western Resource Advocates estimates Colorado single family residential use between 96 and 143 gallons perXCM-219 © Colorado State University Extension. 2011. To Household Water Conservation Colorado supplies. Fortunately, most of the water supply for Colorado's urban dwellers is renewed annually

213

Examples of Cost Estimation Packages  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

1997-03-28T23:59:59.000Z

214

5, 30473104, 2005 Estimates of  

E-Print Network [OSTI]

parametrisations, one relating convective preciptation (CP scheme) to lightning flash15 distributionsACPD 5, 3047­3104, 2005 Estimates of lightning NOx production K. F. Boersma et al. Title Page Discussions Estimates of lightning NOx production from GOME satellite observations K. F. Boersma, H. J. Eskes

Paris-Sud XI, Université de

215

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

of accelerometry. An average smart phone contains an inertial sensor and today we hardly leave our home without itEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

LuÂ?trek, Mitja

216

Numerical estimation of the relative entropy of entanglement  

SciTech Connect (OSTI)

We propose a practical algorithm for the calculation of the relative entropy of entanglement (REE), defined as the minimum relative entropy between a state and the set of states with positive partial transpose. Our algorithm is based on a practical semidefinite cutting plane approach. In low dimensions the implementation of the algorithm in matlab provides an estimation for the REE with an absolute error smaller than 10{sup -3}.

Zinchenko, Yuriy [Department of Mathematics and Statistics, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4 (Canada); Friedland, Shmuel [Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, 851 S. Morgan Street, Chicago, Illinois 60607-7045 (United States); Gour, Gilad [Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, 851 S. Morgan Street, Chicago, Illinois 60607-7045 (United States); Institute for Quantum Information Science, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4 (Canada)

2010-11-15T23:59:59.000Z

217

Weekly Coal Production by State  

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

Weekly Coal Production Weekly Coal Production Data for week ended: December 14, 2013 | Release date: December 19, 2013 | Next release date: December 30, 2013 For the week ended December 14, 2013: U.S. coal production totaled approximately 18.9 million short tons (mmst) This production estimate is 3.1% higher than last week's estimate and 2.9% lower than the production estimate in the comparable week in 2012 Coal production east of the Mississippi River totaled 8.2 mmst Coal production west of the Mississippi River totaled 10.8 mmst U.S. year-to-date coal production totaled 957.1 mmst, 1.9% lower than the comparable year-to-date coal production in 2012 EIA revises its weekly estimates of state-level coal production using Mine Safety and Health Administration (MSHA) quarterly coal production data.

218

Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model  

E-Print Network [OSTI]

of-state fuel consumption was estimated for marine OGV. Themarine OGV electricity use in 2020 (IEPR: Kavalec, 2013) 3. FuelsIn-state jet fuel b. Aviation gasoline 3. Marine ocean-going

Greenblatt, Jeffery B.

2014-01-01T23:59:59.000Z

219

Sampling Wind Data for Mean Wind Speed Estimation  

Science Journals Connector (OSTI)

Two sampling techniques are applied to wind data at 3 h intervals for six stations in the Great Plains region in the United States in order to investigate the reduction in the number of data needed to estimate the mean wind speed. One-in-k ...

Mark Jong; Gary Thomann

1981-03-01T23:59:59.000Z

220

Methodologies for estimating one-time hazardous waste generation for capacity generation for capacity assurance planning  

SciTech Connect (OSTI)

This report contains descriptions of methodologies to be used to estimate the one-time generation of hazardous waste associated with five different types of remediation programs: Superfund sites, RCRA Corrective Actions, Federal Facilities, Underground Storage Tanks, and State and Private Programs. Estimates of the amount of hazardous wastes generated from these sources to be shipped off-site to commercial hazardous waste treatment and disposal facilities will be made on a state by state basis for the years 1993, 1999, and 2013. In most cases, estimates will be made for the intervening years, also.

Tonn, B.; Hwang, Ho-Ling; Elliot, S. [Oak Ridge National Lab., TN (United States); Peretz, J.; Bohm, R.; Hendrucko, B. [Univ. of Tennessee, Knoxville, TN (United States)

1994-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Estimating Demand Response Market Potential | Open Energy Information  

Open Energy Info (EERE)

Estimating Demand Response Market Potential Estimating Demand Response Market Potential Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating Demand Response Market Potential Focus Area: Energy Efficiency, - Utility Topics: Socio-Economic Website: www.ieadsm.org/Files/Tasks/Task%20XIII%20-%20Demand%20Response%20Resou Equivalent URI: cleanenergysolutions.org/content/estimating-demand-response-market-pot Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: Resource Integration Planning This resource presents demand response (DR) potential results from top-performing programs in the United States and Canada, as well as a DR

222

Enhancement of satellite precipitation estimation via unsupervised dimensionality reduction  

SciTech Connect (OSTI)

A methodology to enhance Satellite Precipitation Estimation (SPE) using unsupervised dimensionality reduction (UDR) techniques is developed. This enhanced technique is an extension to the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network (PERSIANN) and Cloud Classification System (CCS) method (PERSIANN-CCS) enriched using wavelet features combined with dimensionality reduction. Cloud-top brightness temperature measurements from Geostationary Operational Environmental Satellite (GOES-12) are used for precipitation estimation at 4 km 4 km spatial resolutions every 30 min. The study area in the continental United States covers parts of Louisiana, Arkansas, Kansas, Tennessee, Mississippi, and Alabama. Based on quantitative measures, root mean square error (RMSE) and Heidke skill score (HSS), the results show that the UDR techniques can improve the precipitation estimation accuracy. In addition, ICA is shown to have better performance than other UDR techniques; and in some cases, it achieves 10% improvement in the HSS.

Mahrooghy, Majid [Mississippi State University (MSU); Younan, Nicolas H. [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Aanstoos, James [Mississippi State University (MSU)

2012-01-01T23:59:59.000Z

223

United States  

Office of Legacy Management (LM)

- I - I United States Department of Energy D lSCk Al M E R "This book was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency

224

Reinforcing flood–risk estimation  

Science Journals Connector (OSTI)

...However, most ood-risk estimates support decisions...charac- ter. These are investment decisions, where the...current level of ood risk, making improvements...generated a national ood-risk map with a high political and societal impact...

2002-01-01T23:59:59.000Z

225

Estimation of resources and reserves  

E-Print Network [OSTI]

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

226

The Pennsylvania State University The Graduate School  

E-Print Network [OSTI]

The Pennsylvania State University The Graduate School College of Engineering VEHICLE LOCALIZATION;Abstract This dissertation describes the development of vehicle state estimation methods using low-cost and ultimately au- tonomous navigation. The focus in this thesis is to develop low-cost methods for vehicle

Brennan, Sean

227

Volume State  

Gasoline and Diesel Fuel Update (EIA)

22 22 Volume State State or Country From/To Receipts/ Imports From Deliveries/ Exports To Net a Alabama Florida .................................................................. 0 722,558 -722,558 Georgia................................................................. 0 1,352,308 -1,352,308 Gulf of Mexico....................................................... 123,132 0 123,132 Mississippi ............................................................ 2,758,595 0 2,758,595 Tennessee............................................................ 1,744 764,749 -763,005 Total..................................................................... 2,883,471 2,839,615 43,856

228

Chapter 6 - Subsea Cost Estimation  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides guidelines for cost estimation during a project feasibility study, where the accuracy range is between ± 30% for subsea field development projects. Subsea cost refers to the cost of the whole project, which generally includes the capital expenditures (CAPEX) and operation expenditures (OPEX) of the subsea field development. The feasibility studies are performed before execution of the project, which may include three phases as shown in the figure: prefield development; conceptual/feasibility study; and front-end engineering design (FEED). Cost estimations are made for several purposes, and the methods used for the estimations as well as the desired amount of accuracy will be different. The cost estimation classifications according to Association for the Advancement of Cost Engineering (AACE): level of project definition: expressed as percentage of complete definition; end usage: typical purpose of estimation; methodology: typical estimating method; expected accuracy range: typical ± range relative to best index of 1; and preparation effort: typical degree of effort relative to least cost index of 1.

Yong Bai; Qiang Bai

2010-01-01T23:59:59.000Z

229

United States  

Office of Legacy Management (LM)

Office of Research and EPA 600/R-941209 Environmental Protection Development January 1993 Agency Washington, DC 20460 Offsite Environmental 57,,7 Monitoring Report Radiation Monitoring Around United States Nuclear Test Areas, Calendar Year 1992 UNITED STATES ENVIRONMENTAL PROTECTION AGENCY OFFICE OF RESEARCH AND DEVELOPMENT ENVIRONMENTAL MONITORING SYSTEMS LABORATORY-LAS VEGAS P.O. BOX 93478 LAS VEGAS. NEVADA 891 93-3478 702/798-2100 Dear Reader: Since 1954, the U.S. Environmental Protection Agency (EPA) and its predecessor the U.S, Public Health Service (PHs) has conducted radiological monitoring in the offsite areas around United States nuclear test areas. The primary objective of this monitoring has been the protection of the health and safety of

230

United States  

Broader source: Energy.gov (indexed) [DOE]

BP Energy Company BP Energy Company OE Docket No. EA- 3 14 Order Authorizing Electricity Exports to Mexico Order No. EA-3 14 February 22,2007 BP Energy Company Order No. EA-314 I. BACKGROUND Exports of electricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(Q of the Department of Energy Organization Act (42 U.S.C. 7 15 l(b), 7172(f)) and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C.S24a(e)) . On May 22,2006, BP Energy Company (BP Energy) applied to DOE for an authorization to transmit electric energy from the United States to Mexico as a power marketer. BP Energy proposes to purchase surplus electric energy from electric utilities and other suppliers within the United States and to export that energy to ~Mexico. The cnergy

231

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar |  

Open Energy Info (EERE)

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar Jump to: navigation, search Tool Summary LAUNCH TOOL Name: How to Estimate the Economic Impacts from Renewable Energy Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Topics: Co-benefits assessment Resource Type: Webinar, Training materials Website: www.nrel.gov/applying_technologies/state_local_activities/webinar_2009 How to Estimate the Economic Impacts from Renewable Energy Screenshot References: How to Estimate the Economic Impacts from Renewable Energy[1] Logo: How to Estimate the Economic Impacts from Renewable Energy Sponsored by the U.S. Department of Energy Technical Assistance Project for state and local officials, this Webinar featured information for

232

United States (48 Contiguous States) Wind Resource Potential Chart  

Wind Powering America (EERE)

Rated Capacity Above Indicated CF (GW) Rated Capacity Above Indicated CF (GW) United States (48 Contiguous States) - Wind Resource Potential Cumulative Rated Capacity vs. Gross Capacity Factor (CF) 80 m The estimates show the potential gigawatts of rated capacity that could be installed on land above a given gross capacity factor (without losses) at 80-m and 100-m heights above ground. Areas greater than 30% at 80 m are generally considered to have suitable wind resource for potential wind development with today's advanced wind turbine technology. AWS Truewind, LLC developed the wind resource data for windNavigator® (http://navigator.awstruewind.com) with a spatial resolution of 200 m. NREL filtered the wind potential estimates to

233

On adaptive transmission, signal detection and channel estimation for multiple antenna systems  

E-Print Network [OSTI]

This research concerns analysis of system capacity, development of adaptive transmission schemes with known channel state information at the transmitter (CSIT) and design of new signal detection and channel estimation schemes with low complexity...

Xie, Yongzhe

2004-11-15T23:59:59.000Z

234

Identification of potential strategies, methods, and tools for improving cost estimating practices for highway projects  

E-Print Network [OSTI]

Project cost escalation is a major problem for State Highway Agencies (SHA). This problem is evident in cost estimating procedures that may not promote consistency and accuracy of costs over the project development process. The research proposes...

Donnell, Kelly Elaine

2005-08-29T23:59:59.000Z

235

7 - Estimation of Radiation Doses  

Science Journals Connector (OSTI)

Abstract Radiation doses to the Japanese population from inhalation of contaminated air, external irradiation, terrestrial and marine food contamination are estimated and compared with other sources of anthropogenic (global fallout, Chernobyl accident), natural (radionuclides in food, cosmic radiation) and medical applications (X-ray tests, CT-tests, etc.) of ionizing radiation. The estimated doses from inhalation, ingestion of terrestrial and marine food, and radiation exposure from radioactive clouds and deposited radionuclides were generally below the levels which could cause health damage of the Japanese population, as well as of the world population. The estimated total radiation doses to fish and shellfish in coastal waters during the largest radionuclide releases were by a factor of 10 lower than the baseline safe level postulated for the marine organisms, therefore no harmful effects are expected for the marine ecosystem as well.

Pavel P. Povinec; Katsumi Hirose; Michio Aoyama

2013-01-01T23:59:59.000Z

236

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

7/22/2011 7/22/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: May 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly below normal in May 2011.

237

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

6/24/2011 6/24/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: April 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were above normal in April 2011.

238

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

9/20/2011 9/20/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: July 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures

239

Indirect Estimation of Radioactivity in Containerized Cargo  

SciTech Connect (OSTI)

Detecting illicit nuclear and radiological material in containerized cargo challenges the state of the art in detection systems. Current systems are being evaluated and new systems envisioned to address the need for the high probability of detection and extremely low false alarm rates necessary to thwart potential threats and extremely low nuisance and false alarm rates while maintaining necessary to maintain the flow of commerce impacted by the enormous volume of commodities imported in shipping containers. Maintaining flow of commerce also means that primary inspection must be rapid, requiring relatively indirect measurements of cargo from outside the containers. With increasing information content in such indirect measurements, it is natural to ask how the information might be combined to improved detection. Toward this end, we present an approach to estimating isotopic activity of naturally occurring radioactive material in cargo grouped by commodity type, combining container manifest data with radiography and gamma spectroscopy aligned to location along the container. The heart of this approach is our statistical model of gamma counts within peak regions of interest, which captures the effects of background suppression, counting noise, convolution of neighboring cargo contributions, and down-scattered photons to provide physically constrained estimates of counts due to decay of specific radioisotopes in cargo alone. Coupled to that model, we use a mechanistic model of self-attenuated radiation flux to estimate the isotopic activity within cargo, segmented by location within each container, that produces those counts. We demonstrate our approach by applying it to a set of measurements taken at the Port of Seattle in 2006. This approach to synthesizing disparate available data streams and extraction of cargo characteristics holds the potential to improve primary inspection using current detection capabilities and to enable simulation-based evaluation of new candidate detection systems.

Jarman, Kenneth D.; Scherrer, Chad; Smith, Eric L.; Chilton, Lawrence; Anderson, K. K.; Ressler, Jennifer J.; Trease, Lynn L.

2011-01-01T23:59:59.000Z

240

Estimating radiological background using imaging spectroscopy  

SciTech Connect (OSTI)

Optical imaging spectroscopy is investigated as a method to estimate radiological background by spectral identification of soils, sediments, rocks, minerals and building materials derived from natural materials and assigning tabulated radiological emission values to these materials. Radiological airborne surveys are undertaken by local, state and federal agencies to identify the presence of radiological materials out of regulatory compliance. Detection performance in such surveys is determined by (among other factors) the uncertainty in the radiation background; increased knowledge of the expected radiation background will improve the ability to detect low-activity radiological materials. Radiological background due to naturally occurring radiological materials (NORM) can be estimated by reference to previous survey results, use of global 40K, 238U, and 232Th (KUT) values, reference to existing USGS radiation background maps, or by a moving average of the data as it is acquired. Each of these methods has its drawbacks: previous survey results may not include recent changes, the global average provides only a zero-order estimate, the USGS background radiation map resolutions are coarse and are accurate only to 1 km – 25 km sampling intervals depending on locale, and a moving average may essentially low pass filter the data to obscure small changes in radiation counts. Imaging spectroscopy from airborne or spaceborne platforms can offer higher resolution identification of materials and background, as well as provide imaging context information. AVIRIS hyperspectral image data is analyzed using commercial exploitation software to determine the usefulness of imaging spectroscopy to identify qualitative radiological background emissions when compared to airborne radiological survey data.

Bernacki, Bruce E.; Schweppe, John E.; Stave, Sean C.; Jordan, David V.; Kulisek, Jonathan A.; Stewart, Trevor N.; Seifert, Carolyn E.

2014-06-13T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Position Estimation of a Parametrically Driven Optomechanical System  

E-Print Network [OSTI]

We study the position estimation of a mechanical oscillator undergoing both detuned parametric amplification and continuous quantum measurement. This model, which can be utilised to produce squeezed states, is applied to a general optoelectromechanical system. Using a stochastic master equation formalism, we derive general formulae for the reduction in position uncertainty of one quadrature of motion. The filter for extracting the optimal position estimate from the measurement record is derived. We also find that since this scheme does not work far into the back-action dominated regime, implementing resolved-sideband cooling improves the squeezing only marginally.

Alex Szorkovszky; Andrew C. Doherty; Glen I. Harris; Warwick P. Bowen

2012-08-03T23:59:59.000Z

242

Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter  

E-Print Network [OSTI]

in the Southern Great Plains region of the United States, using the terrestrial water balance as the constraintData Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman. The water balance was applied at the domain scale, and estimates of the water balance components

Pan, Ming

243

Estimating air-sea fluxes of heat, freshwater, and momentum through global ocean data assimilation  

E-Print Network [OSTI]

Estimating air-sea fluxes of heat, freshwater, and momentum through global ocean data assimilation of surface flux adjustments made to the initial NCEP re-analysis-1 products. During the state estimation the boundary current regions, they are consistent with known large-scale deficiencies in the NCEP products

244

Estimate sequence methods: extensions and approximations  

E-Print Network [OSTI]

Aug 11, 2009 ... Estimate sequence methods: extensions and approximations ... or both, and draw some guidelines on the design of further estimate sequence ...

Michel Baes

2009-08-11T23:59:59.000Z

245

BPA Metering Services Editing and Estimating Procedures  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Editing and Estimating Interval Data 1. Introduction This section defines the meter interval data editing and estimation techniques performed by BPA's Metering Services...

246

ORISE: Radiation Dose Estimates and Other Compendia  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

downloaded free from the Adobe website. Early Internal and External Dose Magnitude Estimation (PDF) This article addresses methods that can be used to rapidly estimate internal...

247

Mississippi Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Mississippi Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

248

California Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) California Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

249

Pennsylvania Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Pennsylvania Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

250

Estimating Waste Inventory and Waste Tank Characterization |...  

Office of Environmental Management (EM)

Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue...

251

GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process  

Broader source: Energy.gov (indexed) [DOE]

GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define program characteristics In a technical baseline description document, identify the program's

252

Estimating Externalities of Hydro Fuel Cycles, Report 6  

SciTech Connect (OSTI)

There are three major objectives of this hydropower study: (1) to implement the methodological concepts that were developed in the background document (ORNL/RFF 1992) as a means of estimating the external costs and benefits of fuel cycles and, by so doing, to demonstrate their application to the hydroelectric fuel cycle (different fuel cycles have unique characteristics that need to be addressed in different ways); (2) to develop, given the time and resources, the best range of estimates of externalities associated with hydroelectric projects, using two benchmark projects at two reference sites in the US; and (3) to assess the state of the information that is available to support the estimation of externalities associated with the hydroelectric fuel cycle and, by so doing, to assist in identifying gaps in knowledge and in setting future research agendas. The main consideration in defining these objectives was a desire to have more information about externalities and a better method for estimating them. As set forth in the agreement between the US and the EC, the study is explicitly and intentionally not directed at any one audience. This study is about a methodology for estimating externalities. It is not about how to use estimates of externalities in a particular policy context.

Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

1994-12-01T23:59:59.000Z

253

Satellite orbit and attitude estimation using three-axis magnetometer  

Science Journals Connector (OSTI)

The determination of satellite orbital and attitude position and velocity from measurement of a single earth magnetic field (emf) vector without additional measurements, but using a state estimator, is a challenging problem. It is not obvious from first glance whether a solution exists at all - whether the problem is observable with the measurement of only a single emf vector, and an analysis is necessary. This paper performs this analysis for a simple linear system model. Almost circular low earth nearly polar orbits and a dipole emf model are considered. Although these are rather restrictive assumptions they nevertheless provide considerable insight. Both a purely algebraic situation as well as dynamic estimation are studied. It is shown that if the emf induction vector magnitude is used to estimate satellite orbit (position and velocity) and its three projections are used to estimate the attitude, that the situation is sufficiently observable for orbit and attitude determination using just magnetometer measurements. However, for nearly polar orbits, longitude and east velocity are difficult to estimate due to weak observability, and estimation convergence time can be lengthy with poor accuracy.

Y. Kim; G. Vukovich

2014-01-01T23:59:59.000Z

254

Solid-State Lighting: Why SSL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Why SSL to someone by E-mail Why SSL to someone by E-mail Share Solid-State Lighting: Why SSL on Facebook Tweet about Solid-State Lighting: Why SSL on Twitter Bookmark Solid-State Lighting: Why SSL on Google Bookmark Solid-State Lighting: Why SSL on Delicious Rank Solid-State Lighting: Why SSL on Digg Find More places to share Solid-State Lighting: Why SSL on AddThis.com... Why SSL LED Basics OLED Basics Using LEDs R&D Challenges Market Challenges Why SSL Resources Solid-State Lighting: Brilliant Solutions for America's Energy Future PDF Energy Savings Potential of SSL PDF Energy Savings Estimates of LEDs PDF More Resources Since 2003, the U.S. Department of Energy has invested with industry partners in research and development of solid-state lighting (SSL)-including both light-emitting diode (LED) and organic light

255

Cost Estimates for New Molecules  

Science Journals Connector (OSTI)

Cost Estimates for New Molecules ... Once this has been carried out, the projected cost/kilogram for the new drug substance (if only raw material costs and no manufacturing/overhead/labour costs are considered) may well come down by a factor of 10 or even 100, and this is often more acceptable to management trying to make strategic decisions about potential profitability. ...

Trevor Laird

2005-02-22T23:59:59.000Z

256

Trades Estimate Guide September, 2013  

E-Print Network [OSTI]

labor hours are provided using "industry standard" hours. Each trade has an hourly recharge rate. Here are a few examples of why our shops estimates may be considered high. HVAC & SHEET METAL · In the HVAC area. This work can include: required engineering and design, new HVAC equipment to accommodate design

Rose, Michael R.

257

ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS  

E-Print Network [OSTI]

Chapter 1 ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS: RANDOMIZED VS. DETERMINISTIC ALGORITHMS difficult or even impossible to directly measure the quantity in which we are interested: e.g., we cannot directly measure a distance to a distant galaxy or the amount of oil in a given well. Since we cannot

Kreinovich, Vladik

258

2012 Proved Reserves Estimation Methodology  

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

-366 11,933 Estimated 818 124 759 0 0 19 0 0 236 1,693 1,658 Imputation for nonresponse Unit and item nonresponse on the EIA-23 is imputed for using the same ratio function that is...

259

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED  

E-Print Network [OSTI]

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED TOMOGRAPHY DATA A. López (a) , R. Molina (b) (a limited due to several factors. These factors include the need of greater computational time than to the projection data to obtain two-dimensional slices or cross sections (images) of activity distribution. #12

Granada, Universidad de

260

United States  

Office of Legacy Management (LM)

WASHINGTON, TUESDAY, JUNE 28, 1983 @nngmeional Ruord United States of America .__ -- . . ,- PROCEEDINGS AND DEBATES OF THE 9@ CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Washmgton, D C 20402 OFFICIAL BUSINESS Penalty Ior pwate use. $xX Congresstonal Record (USPS 087-390) Postage and Fees Pad U S Government Prlnhng 0ffv.X 375 SECOND CLASS NEWSPAPER H.4578 ' C.QNGRESSIONAL RECORD - HOUSE June 28, 1983 H.J. Res. 273: Mr. BOUND. Mr. W~.XMAN. Mr. OBERSTAR, Mr. BEDELL. Mr. BONER of Tennessee, Mr. OWENS. Mr. DAUB, Mr. CONTE. Mr. RAHALL; Mr. GRAY, Mr. VANDER JACT. Mr. TRAKLER, and Mr. Vxrrro. H. Con. Res. 107: Mr. KASICH. Mr. AUCOIN. Mr. CARPER, and Mr. SIZHFIJER. H. Con. Res. 118: Mr. FISH. Mr. LANTOS.

Note: This page contains sample records for the topic "70-2011 estimates state" 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

United States  

Office of Legacy Management (LM)

ongrees;ional Record ongrees;ional Record United States of America __._ -.. I. :- PROCEEDINGS AND DEBATES OF THE 9tth CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Washmcqton. Cl C 20402 OFFICIAL BUSINESS Penalty Ior pwate use. $300 Congressmal Record (USPS 087-390) Postage and Fees Pad U S Governme3n:jPnntmg OfIce SECOND CLASS NEWSPAPER H.4578 ' June 28, 1983 -: I H.J. Res. 273: Mr. BOLAND, Mr. WA-. Mr. OBERSTAFC, M' r. BEDELL, Mr. BONER of Tennessee, Mr. OWENS. Mr. DAUB. Mr. CONTE. Mr. RAHALL,. Mr. GRAY, Mr. VANDER JAGT. Mr. TRAKLER. and Mr. VENTO. H. Con. Res. iO7: Mr. KASICH. Mr. ALCOIN. Mr. CARPER. and Mr. SCHEUER. H. Con. Res. 118: Mr. FISH, Mr. LANTOS. Mr. KILDEE. Mr. SOLARZ Mr. Bmrr, Mr. BELWLL, Mr. RANG~L, Mr. DYMALLY. Mr.

262

United States  

Broader source: Energy.gov (indexed) [DOE]

E-T Global Energy, LLC E-T Global Energy, LLC OE Docket No. EA-381 Order Authorizing Electricity Exports to Mexico Order No. EA-381 June 10, 2011 I. BACKGROUND E-T Global Energy, LLC Order No. EA-381 Exports of electricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(f) of the Department ofEnergy Organization Act (42 U.S.C. 7151(b), 7172(f)) and require authorization under section 202(e) ofthe Federal Power Act (FPA) (16 U.S.C.824a(e)) 1 * On May 10,2011, DOE received an application from E-T Global Energy, LLC (E-T Global) for authority to transmit electric energy from the United States to Mexico for five years as a power marketer using existing international transmission facilities. E-

263

United States  

Broader source: Energy.gov (indexed) [DOE]

Bangor Hydro-Electric Company Bangor Hydro-Electric Company OE Docket No. PP-89-1 Amendment to Presidential Permit Order No. PP-89-1 December 30,2005 PRESIDENTIAL PERMIT AMENDMENT Bangor Hydro-Electric Company Order No. PP-89-1 I. BACKGROUND The Department of Energy (DOE) has responsibility for implementing Executive Order (E.O.) 10485, as amended by E.O. 12038, which requires the issuance of a Presidential permit by DOE before electric trans~nission facilities may be constructed, operated, maintained, or connected at the borders of the United States. DOE may issue such a permit if it determines that the permit is in the public interest and after obtaining favorable recommendations from the U.S. Departments of State and Defense. On December 16, 1988, Bangor Hydro-Electric Company (BHE) applied to DOE

264

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar |  

Open Energy Info (EERE)

NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar (Redirected from How to Estimate the Economic Impacts from Renewable Energy) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: How to Estimate the Economic Impacts from Renewable Energy Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Topics: Co-benefits assessment Resource Type: Webinar, Training materials Website: www.nrel.gov/applying_technologies/state_local_activities/webinar_2009 How to Estimate the Economic Impacts from Renewable Energy Screenshot References: How to Estimate the Economic Impacts from Renewable Energy[1] Logo: How to Estimate the Economic Impacts from Renewable Energy Sponsored by the U.S. Department of Energy Technical Assistance Project for

265

Peak Oil and REMI PI+: State Fiscal Implications  

E-Print Network [OSTI]

, nation, and states) · Shale oil not included ­ Shale oil reserve estimates 2.0 Trillion bbls in USPeak Oil and REMI PI+: State Fiscal Implications Jim Peach Arrowhead Center Prosper Project is peak oil? · Why peak oil (and gas) matters ­ (In energy and non-energy states) ­ National Real GDP

Johnson, Eric E.

266

Geothermal reservoir temperatures estimated from the oxygen isotope  

Open Energy Info (EERE)

reservoir temperatures estimated from the oxygen isotope reservoir temperatures estimated from the oxygen isotope compositions of dissolved sulfate and water from hot springs and shallow drillholes Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Geothermal reservoir temperatures estimated from the oxygen isotope compositions of dissolved sulfate and water from hot springs and shallow drillholes Details Activities (3) Areas (3) Regions (0) Abstract: The oxygen isotope compositions of dissolved sulfate and water from hot springs and shallow drillholes have been tested as a geothermometer in three areas of the western United States. Limited analyses of spring and borehole fluids and existing experimental rate studies suggest that dissolved sulfate and water are probably in isotopic equilibrium in all reservoirs of significant size with temperatures above

267

Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants  

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

Updated Capital Cost Estimates Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies.

268

Optimal phase estimation with arbitrary a priori knowledge  

SciTech Connect (OSTI)

The optimal-phase estimation strategy is derived when partial a priori knowledge on the estimated phase is available. The solution is found with the help of the most famous result from the entanglement theory: the positive partial transpose criterion. The structure of the optimal measurements, estimators, and the optimal probe states is analyzed. This Rapid Communication provides a unified framework bridging the gap in the literature on the subject which until now dealt almost exclusively with two extreme cases: almost perfect knowledge (local approach based on Fisher information) and no a priori knowledge (global approach based on covariant measurements). Special attention is paid to a natural a priori probability distribution arising from a diffusion process.

Demkowicz-Dobrzanski, Rafal [Faculty of Physics, University of Warsaw, ul. Hoza 69, PL-00-681 Warszawa (Poland)

2011-06-15T23:59:59.000Z

269

Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hydrogen Production Cost Estimate Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Contract No. DE-AC36-08GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen and Fuel Cells Program NREL/BK-6A10-51726 October 2011 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or

270

United States  

Broader source: Energy.gov (indexed) [DOE]

5 5 United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CC-1-I Availability: This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). Applicability: This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Character of Service: The electric capacity and energy supplied hereunder will be three-phase alternating

271

Solar sky radiation estimation techniques  

SciTech Connect (OSTI)

Empirical correlations suggested by various authors, for estimating monthly mean daily diffuse irradiation, are compared statistically to test their applicability to the southern African region. The correlations are compared by calculating root mean square error, mean bias error and mean percentage error. The correlations suggested by Gopinathan and Gladius Lewis are found to be most accurate for the southern African region. Equations suggested by Iqbal give poor results and cannot be employed for the region.

Gopinathan, K.K. (National Univ. of Lesotho, Roma (South Africa))

1992-07-01T23:59:59.000Z

272

Estimating the potential of ocean wave power resources  

Science Journals Connector (OSTI)

The realistic assessment of an ocean wave energy resource that can be converted to an electrical power at various offshore sites depends upon many factors, and these include estimating the resource recognizing the random nature of the site-specific wave field, and optimizing the power conversion from particular wave energy conversion devices. In order to better account for the uncertainty in wave power resource estimates, conditional probability distribution functions of wave power in a given sea-state are derived. Theoretical expressions for the deep and shallow water limits are derived and the role of spectral width is studied. The theoretical model estimates were compared with the statistics obtained from the wave-by-wave analysis of JONSWAP based ocean wave time-series. It was shown that the narrow-band approximation is appropriate when the variability due to wave period is negligible. The application of the short-term models in evaluating the long-term wave power resource at a site was illustrated using wave data measured off the California coast. The final example illustrates the procedure for incorporating the local wave data and the sea-state model together with a wave energy device to obtain an estimate of the potential wave energy that could be converted into a usable energy resource.

Amir H. Izadparast; John M. Niedzwecki

2011-01-01T23:59:59.000Z

273

United States  

Broader source: Energy.gov (indexed) [DOE]

TexMex Energy, LLC TexMex Energy, LLC OE Docket No. EA-294-A Order Authorizing Electricity Exports to Mexico Order No. EA-294-A February 22, 2007 TexMex Energy, LLC Order No. EA-294-A I. BACKGROUND Exports of electricity from the United States to a foreign count~y are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(f) of the Department of Energy Organization Act (42 U.S.C. 7 15 1 (b), 71 72(f)) and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C.824a(e)) . On August 25,2004, DOE issued Order No. EA-294 authorizing TexMex Energy LLC (TexMex) to transmit electric energy fiom the United States to Mexico as a power marketer. That authority expired on August 25, 2006. On September 8, 2006, TexMex applied to renew the electricity export authority

274

United States  

Gasoline and Diesel Fuel Update (EIA)

United States United States Coal ................................................ 4,367 4,077 4,747 4,181 4,473 4,125 4,983 4,330 4,414 4,003 4,796 4,178 4,344 4,479 4,348 Natural Gas .................................... 2,802 2,843 3,694 2,863 2,713 2,880 3,636 2,707 2,792 2,972 3,815 2,849 3,052 2,986 3,109 Petroleum (a) .................................. 74 73 81 67 73 70 75 66 75 70 76 66 74 71 71 Other Gases ................................... 32 33 36 32 32 34 37 33 33 35 39 34 33 34 35 Nuclear ........................................... 2,176 2,044 2,257 2,170 2,106 2,037 2,167 2,010 2,144 2,074 2,206 2,055 2,162 2,080 2,120 Renewable Energy Sources: Conventional Hydropower ........... 736 886 716 633 765 887 708 646 767 919 729 659 742 751 768 Wind ............................................ 491 520 353 449 477 521 379 475

275

United States  

Broader source: Energy.gov (indexed) [DOE]

Tenaslta Power Services Co. Tenaslta Power Services Co. OE Docket No. EA-243-A Order Authorizing Electricity Exports to Canada Order No. EA-243-A March 1,2007 Tenaska Power Services Co. Order No. EA-243-A I. BACKGROUND Exports of elcctricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 30 I(b) and 402(f) of the Departrncnt of' Energy Organizatio~l Act (42 U, S.C. 7 15 1 (b), 7 1 72Cf)) and rcquirc authorization under section 202(e) of the Federal Power Act (FPA) ( Z 6 U. s.c.824a(e)j1. On August 16,2001, DOE issued Order No. EA-243 authorizing Tenaska Power Scrvices Co. (Tenaska) to transmit electric cncrgy from the United States to Canada as a power marketer. That authority expired on August 16,2003. On August 14,2006, Teilaska applied to renew the electricity export authority

276

Minimal Experimental Data Set Required for Estimating PCP-SAFT Parameters  

Science Journals Connector (OSTI)

Minimal Experimental Data Set Required for Estimating PCP-SAFT Parameters ... The pure-component parameters of the Perturbed Chain Polar-Statistical Associating Fluid Theory (PCP-SAFT) equation of state are usually fitted to experimental data over broad temperature ranges. ... PCP-SAFT Equation of State ...

Katja Albers; Gabriele Sadowski

2011-09-12T23:59:59.000Z

277

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet), The Spectrum of Clean Energy Innovation, NREL (National Renewable Energy Laboratory)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Triples Previous Estimates of Triples Previous Estimates of U.S. Wind Power Potential The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques that triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009. Detailed state-by-state estimates of wind energy potential for the United States show the estimated average wind speeds at an 80-meter height. The wind resource maps and estimates

278

United States  

Broader source: Energy.gov (indexed) [DOE]

7 7 United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CTV-1-H Availability: This rate schedule shall be available to the Tennessee Valley Authority (hereinafter called TVA). Applicability: This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland Projects") and the Laurel Project sold under agreement between the Department of Energy and TVA. Character of Service: The electric capacity and energy supplied hereunder will be three-phase alternating current at a frequency of approximately 60 hertz at the outgoing terminals of the Cumberland

279

United States  

Broader source: Energy.gov (indexed) [DOE]

United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CTVI-1-A Availability: This rate schedule shall be available to customers (hereinafter called the Customer) who are or were formerly in the Tennessee Valley Authority (hereinafter called TVA) service area. Applicability: This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland Projects") and the Laurel Project sold under agreement between the Department of Energy and the Customer. Character of Service: The electric capacity and energy supplied hereunder will be three-phase alternating

280

UNITED STATES  

Office of Legacy Management (LM)

f).~<~~ \--\c :y-,ai F p"- KG f).~<~~ \--\c :y-,ai F p"- KG WASHINOTDN 28.0. C. ' -lr ' \ ' ' --- ".I ?--" ' z I. .~;-4.' J frr*o& 2 ii, - - -4 70-147 LRL:JCD JAN !! 8 1958 Oregon Metallurgical Corporation P. 0. Box 484 Albany, Oregon Attention: Mr. Stephen M. Shelton General Manager Gentlemen: Enclosed is Special Nuclear Material License No. SNM-144, as amended. Very 33uly yours, r:; I,;, ll)~gQ""d".- Lyall Johnson Chief, Licensing Branch Division of Licensing & Regulation Enclosure: SNM-144, as amended Distribution: bRO0 Attn: Dr. H.M.Roth DFMusser NMM MMMann INS JCRyan FIN (2) HSteele LRL SRGustavson LRL Document room Formal file Suppl. file Br & Div rf's ' .b liwwArry s/VW- ' q+ ' yj/ 2; 2-' , COP' 1 J JAM01958 -- UNITED STATES ATOMIC ENERGY COMMISSION

Note: This page contains sample records for the topic "70-2011 estimates state" 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

United States  

Broader source: Energy.gov (indexed) [DOE]

United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule JW-2-F Availability: This rate schedule shall be available to the Florida Power Corporation (or Progress Energy Florida, hereinafter called the Company). Applicability: This rate schedule shall be applicable to electric energy generated at the Jim Woodruff Project (hereinafter called the Project) and sold to the Company in wholesale quantities. Points of Delivery: Power sold to the Company by the Government will be delivered at the connection of the Company's transmission system with the Project bus. Character of Service: Electric power delivered to the Company will be three-phase alternating current at a nominal frequency of 60 cycles per second.

282

Evaluation of an Incremental Ventilation Energy Model for Estimating  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Evaluation of an Incremental Ventilation Energy Model for Estimating Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Title Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Publication Type Report LBNL Report Number LBNL-5796E Year of Publication 2012 Authors Logue, Jennifer M., William J. N. Turner, Iain S. Walker, and Brett C. Singer Date Published 06/2012 Abstract Changing the rate of airflow through a home affects the annual thermal conditioning energy.Large-scale changes to airflow rates of the housing stock can significantly alter the energy consumption of the residential energy sector. However, the complexity of existing residential energy models hampers the ability to estimate the impact of policy changes on a state or nationwide level. The Incremental Ventilation Energy (IVE) model developed in this study was designed to combine the output of simple airflow models and a limited set of home characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modelers to use existing databases of home characteristics to determine the impact of policy on ventilation at a population scale. In this report, we describe the IVE model and demonstrate that its estimates of energy change are comparable to the estimates of a well-validated, complex residential energy model when applied to homes with limited parameterization. Homes with extensive parameterization would be more accurately characterized by complex residential energy models. The demonstration included a range of home types, climates, and ventilation systems that cover a large fraction of the residential housing sector.

283

Estimation of Density of Biodiesel  

Science Journals Connector (OSTI)

In addition, the numeric value for coefficient e is very small (?0.00001) and the nd(ave) of most biodiesels are not greater than 2. Therefore, the product of e × nd(ave) can be neglected without affecting the accuracy of the calculation and eq 30 is good for estimation of density of biodiesel. ... Interestingly, the %AAD for mixed biodiesel (0.38) is lower than those of pure (0.41%) and total biodiesels. ... (21) The model cannot differentiate a mixed biodiesel from pure biodiesels. ...

Suriya Phankosol; Kaokanya Sudaprasert; Supathra Lilitchan; Kornkanok Aryusuk; Kanit Krisnangkura

2014-06-16T23:59:59.000Z

284

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation  

E-Print Network [OSTI]

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation Chapter 3 University of Amsterdam #12;Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information

Dorst, Leo

285

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network [OSTI]

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory% postconsumer waste #12;i Independent Review Panel Summary Report September 28, 2011 From: Independent Review Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE

286

Harmonizing Systems and Software Cost Estimation  

E-Print Network [OSTI]

The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...

Wang, Gan

2009-07-19T23:59:59.000Z

287

Challenges in estimating waste confinement costs  

SciTech Connect (OSTI)

This paper presents a systems analysis framework for cost estimating and outlines the challenges likely to be confronted during the cost estimating and data base development process. 1 ref., 8 figs.

Rivera, A.L.

1990-01-01T23:59:59.000Z

288

On coherence in parametric density estimation  

Science Journals Connector (OSTI)

......1990 research-article Miscellanea On coherence in parametric density estimation J...KullbackLeibler directed divergence has this coherence property whereas the corresponding symmetric...estimation is also discussed. Admissibility|Coherence|Kullback-Leibler divergence|Predictive......

J. AITCHISON

1990-12-01T23:59:59.000Z

289

Estimating UV Index Climatology over Canada  

Science Journals Connector (OSTI)

Hourly UV index values at 45 sites in Canada were estimated using a statistical relationship between UV irradiance and global solar radiation, total ozone, and dewpoint temperature. The estimation method also takes into account the enhancement of ...

V. E. Fioletov; J. B. Kerr; L. J. B. McArthur; D. I. Wardle; T. W. Mathews

2003-03-01T23:59:59.000Z

290

A fast algorithm for approximating the ground state energy on a quantum computer Anargyros Papageorgiou,1,  

E-Print Network [OSTI]

, Columbia University, New York, NY 10027, USA. (Dated: May 11, 2011) Estimating the ground state energy#12;A fast algorithm for approximating the ground state energy on a quantum computer Anargyros

291

Cost Model and Cost Estimating Software  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

1997-03-28T23:59:59.000Z

292

Highly Automated Dipole EStimation , A. Pascarella2  

E-Print Network [OSTI]

filter, HADES (Highly Automatic Dipole EStimation). HADES is an open-source, freely downloadable, Matlab-based

Piana, Michele

293

Statistical Exposure Estimation Spatial Confounding Bias  

E-Print Network [OSTI]

, and 3 Account for spatial correlation in the health outcome data. Applications include air pollution Epidemiology Estimates of chronic health effects of air pollution are identified from cross-sectional (i Exposure Estimation Methods for Air Pollution Often researchers estimate ambient concentrations and use

Paciorek, Chris

294

Risk Estimation; Background Radiation (Natural and Artificial )  

E-Print Network [OSTI]

-threshold mode estimate the response at lower doses. · The Committee on Biological Effects of Ionizing RadiationModule 9 Risk Estimation; Background Radiation (Natural and Artificial ) · sources of background radiation · various risk models. · estimating risk and on the sources of background radiation, both

Massey, Thomas N.

295

Estimated Ultraviolet Radiation Doses in Wetlands in  

E-Print Network [OSTI]

Estimated Ultraviolet Radiation Doses in Wetlands in Six National Parks Stephen A. Diamond,1 ABSTRACT Ultraviolet-B radiation (UV-B, 280­320-nm wave- lengths) doses were estimated for 1024 wetlands of vegetative features, and quantification of DOC concentration and spectral absorbance. UV-B dose estimates

Knapp, Roland

296

Improved dose estimates for nuclear criticality accidents  

SciTech Connect (OSTI)

Slide rules are improved for estimating doses and dose rates resulting from nuclear criticality accidents. The original slide rules were created for highly enriched uranium solutions and metals using hand calculations along with the decades old Way-Wigner radioactive decay relationship and the inverse square law. This work uses state-of-the-art methods and better data to improve the original slide rules and also to extend the slide rule concept to three additional systems; i.e., highly enriched (93.2 wt%) uranium damp (H/{sup 235}U = 10) powder (U{sub 3}O{sub 8}) and low-enriched (5 wt%) uranium mixtures (UO{sub 2}F{sub 2}) with a H/{sup 235}U ratio of 200 and 500. Although the improved slide rules differ only slightly from the original slide rules, the improved slide rules and also the new slide rules can be used with greater confidence since they are based on more rigorous methods and better nuclear data.

Wilkinson, A.D.; Basoglu, B.; Bentley, C.L.; Dunn, M.E.; Plaster, M.J.; Dodds, H.L. [Univ. of Tennessee, Knoxville, TN (United States). Nuclear Engineering Dept.; Haught, C.F. [Martin Marietta Utility Systems, Piketon, OH (United States); Yamamoto, T. [Japan Atomic Energy Research Inst., Tokai (Japan). Tokai Research Establishment; Hopper, C.M. [Oak Ridge National Lab., TN (United States)

1995-08-01T23:59:59.000Z

297

Ground water contamination in the United States  

Science Journals Connector (OSTI)

...volume of ground water in storage exceeds the vol-ume...geo-thermal water; intruded seawater; water affected by evapotranspiration...pressure and the volume in storage may fluctuate according...Estimates of ground water in storage in the United States...communities have over-pumped their freshwater aquifers...

VI Pye; R Patrick

1983-08-19T23:59:59.000Z

298

Estimated Cost Description Determination Date:  

Broader source: Energy.gov (indexed) [DOE]

Title, Location Title, Location Estimated Cost Description Determination Date: 2010 LCLS Undulator 2 is envisioned to be a 0.2 - 2keV FEL x-ray source, capable of delivering x-rays to End Station A (ESA), located in the existing Research Yard at SLAC. It will also be configurable as a non- FEL hard x-ray source capable of delivering a chirped x-ray pulse for single-shot broad-spectrum measurements. The project would entail reconstruction of the electron beam transport to End Station A, construction and installation of a new undulator in the tunnel upstream of ESA and beam dump, and construction and installation of x-ray transport, optics, and diagnostics in ESA. It also includes the construction of an annex to End Station A , providing hutches for experiment stations.

299

State of Connecticut Connecticut State Library  

E-Print Network [OSTI]

State of Connecticut Connecticut State Library Office of the Public Records Administrator www, and §7-109 of the General Statutes of Connecticut (CGS). Definitions "Agency" means a state agency administered by the Connecticut State Library as referred to in CGS §11-8. "Public record" means any recorded

Holsinger, Kent

300

Site characterization: a spatial estimation approach  

SciTech Connect (OSTI)

In this report the application of spatial estimation techniques or kriging to groundwater aquifers and geological borehole data is considered. The adequacy of these techniques to reliably develop contour maps from various data sets is investigated. The estimator is developed theoretically in a simplified fashion using vector-matrix calculus. The practice of spatial estimation is discussed and the estimator is then applied to two groundwater aquifer systems and used also to investigate geological formations from borehole data. It is shown that the estimator can provide reasonable results when designed properly.

Candy, J.V.; Mao, N.

1980-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Incremental condition estimation for sparse matrices  

SciTech Connect (OSTI)

Incremental condition estimation provides an estimate for the smallest singular value of a triangular matrix. In particular, it gives a running estimate of the smallest singular value of a triangular factor matrix as the factor is generated one column or row at a time. An incremental condition estimator for dense matrices was originally suggested by Bischof. In this paper this scheme is generalized to handle sparse triangular matrices, especially those that are factors of sparse matrices. Numerical experiments on a variety of matrices demonstrate the reliability of this scheme in estimating the smallest singular value. A partial description of its implementation in a sparse matrix factorization code further illustrates its practicality.

Bischof, C.H. (Argonne National Lab., IL (United States)); Lewis, J.G.; Pierce, D.J. (Boeing Computer Servies, Seattle, WA (United States))

1990-10-01T23:59:59.000Z

302

2009 Virginia Polytechnic Institute and State University 2901-9014 Virginia Cooperative Extension programs and employment are open to all, regardless of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, o  

E-Print Network [OSTI]

Electronic Energy Use Robert "Bobby" Grisso, Extension Engineer, Biological Systems Engineering Martha A want to estimate appliance energy consumption. Estimating Energy Consumption Use this formula, Administrator, 1890 Extension Program, Virginia State, Petersburg. ENERGY SERIES: Estimating Appliance and Home

Liskiewicz, Maciej

303

Process fidelity estimation of linear optical quantum CZ gate: A comparative study  

E-Print Network [OSTI]

We present a systematic comparison of different methods of fidelity estimation of a linear optical quantum controlled-Z gate implemented by two-photon interference on a partially polarizing beam splitter. We have utilized a linear fidelity estimator based on the Monte Carlo sampling technique as well as a non-linear estimator based on maximum likelihood reconstruction of a full quantum process matrix. In addition, we have also evaluated lower bound on quantum gate fidelity determined by average quantum state fidelities for two mutually unbiased bases. In order to probe various regimes of operation of the gate we have introduced a tunable delay line between the two photons. This allowed us to move from high-fidelity operation to a regime where the photons become distinguishable and the success probability of the scheme significantly depends on input state. We discuss in detail possible systematic effects that could influence the gate fidelity estimation.

M. Micuda; M. Sedlak; I. Straka; M. Mikova; M. Dusek; M. Jezek; J. Fiurasek

2014-03-19T23:59:59.000Z

304

State-Machine Replication  

E-Print Network [OSTI]

State-Machine Replication #12;The Problem Clients Server #12;The Problem Clients Server #12;The (state machine) #12;The Solution 1. Make server deterministic (state machine) State machine #12;The Solution 1. Make server deterministic (state machine) 2. Replicate server State machines #12;The Solution 1

Venkataramani, Arun

305

Errors of Mean Dynamic Topography and Geostrophic Current Estimates in China’s Marginal Seas from GOCE and Satellite Altimetry  

Science Journals Connector (OSTI)

The Gravity Field and Steady-State Ocean Circulation Explorer (GOCE) and satellite altimetry can provide very detailed and accurate estimates of the mean dynamic topography (MDT) and geostrophic currents in China’s marginal seas, such as, the ...

Shuanggen Jin; Guiping Feng; Ole Andersen

2014-11-01T23:59:59.000Z

306

Downhole microseismic monitoring of hydraulic fracturing: a full-waveform approach for complete moment tensor inversion and stress estimation  

E-Print Network [OSTI]

Downhole microseismics has gained in popularity in recent years as a way to characterize hydraulic fracturing sources and to estimate in-situ stress state. Conventional approaches only utilize part of the information ...

Song, Fuxian

2010-01-01T23:59:59.000Z

307

Framework for State-Level Renewable Energy Market Potential Studies  

SciTech Connect (OSTI)

State-level policymakers are relying on estimates of the market potential for renewable energy resources as they set goals and develop policies to accelerate the development of these resources. Therefore, accuracy of such estimates should be understood and possibly improved to appropriately support these decisions. This document provides a framework and next steps for state officials who require estimates of renewable energy market potential. The report gives insight into how to conduct a market potential study, including what supporting data are needed and what types of assumptions need to be made. The report distinguishes between goal-oriented studies and other types of studies, and explains the benefits of each.

Kreycik, C.; Vimmerstedt, L.; Doris, E.

2010-01-01T23:59:59.000Z

308

Tropical Africa: Land Use, Biomass, and Carbon Estimates for 1980  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Tropical Africa: Land Use, Biomass, and Carbon Estimates for 1980 (NDP-055) Tropical Africa: Land Use, Biomass, and Carbon Estimates for 1980 (NDP-055) DOI: 10.3334/CDIAC/lue.ndp055 data Data PDF PDF graphics Graphics Please note: these data have been updated for the year 2000 Contributors Sandra Brown1 Greg Gaston2 Work on this project was initiated while at the Department of Natural Resources and Environmental Sciences University of Illinois Urbana, Illinois 61801, U.S.A. 1Present address: Winrock International, Arlington, Virgina. 2Present address: Department of Geosciences, Oregon State University. Prepared by T.W. Beaty, and L.M. Olsen. Carbon Dioxide Information Analysis Center Environmental Sciences Division OAK RIDGE NATIONAL LABORATORY Oak Ridge, Tennessee 37831-6290 managed by UT-Battelle, LLC for the U.S. DEPARTMENT OF ENERGY

309

Estimation of Gas Leak Rates Through Very Small Orifices  

Office of Scientific and Technical Information (OSTI)

Estimation of Gas Leak Rates Estimation of Gas Leak Rates Through Very Small Orifices and Channels by Herbert J. Bomelburg February 1977 Prepared for the Nuclear Regulatory Commission -..- Pacific Northwest Laboratories Th% report was preparrd is an accceullt r.84 work spoi.wr~d by the Un~ted States Governmect. Kettker t > ~ United States nor the L'nited states 'rl:clczr 1tcgl;l;:cry Cornmiszion. :or ally c! their e m p i o y e ~ , nor any of chcrr contractors, subcontraao~r, a . tlveir rrn~invct?t-, r.~aies any H r r l a tty, cxpreji o r implied, or ?.;+~nics any !egA liability or rcrpocsibility for iirc accuracy. zcm:lc.~cn~ss 01 ~rscf.~!ccss -,f an). i?fzrxat-on, 3Poar.i:b4. prodiict cr I.m)cess disclosed, or repreen:.; :hi.: i;s i43? wott:rl n.;\ irlfringe pr ivzrc:i*l u w x o :ig.~ts.

310

Natural Gas Liquids Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

802 827 788 811 831 840 1979-2008 802 827 788 811 831 840 1979-2008 Federal Offshore U.S. 148 155 123 125 127 94 1981-2008 Pacific (California) 0 0 0 0 0 0 1979-2008 Louisiana & Alabama 120 127 98 102 108 80 1981-2008 Texas 28 28 25 23 19 14 1981-2008 Alaska 18 18 17 14 13 13 1979-2008 Lower 48 States 784 809 771 797 818 827 1979-2008 Alabama 5 4 5 5 4 9 1979-2008 Arkansas 0 0 0 0 0 0 1979-2008 California 10 10 11 11 11 11 1979-2008 Coastal Region Onshore 1 1 1 1 1 1 1979-2008 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2008 San Joaquin Basin Onshore 9 9 10 10 10 10 1979-2008 State Offshore 0 0 0 0 0 0 1979-2008 Colorado 29 32 31 32 33 45 1979-2008 Florida 1 0 0 0 0 0 1979-2008 Kansas 23 22 20 19 19 19 1979-2008

311

Natural Gas Liquids Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

802 827 788 811 831 840 1979-2008 802 827 788 811 831 840 1979-2008 Federal Offshore U.S. 148 155 123 125 127 94 1981-2008 Pacific (California) 0 0 0 0 0 0 1979-2008 Louisiana & Alabama 120 127 98 102 108 80 1981-2008 Texas 28 28 25 23 19 14 1981-2008 Alaska 18 18 17 14 13 13 1979-2008 Lower 48 States 784 809 771 797 818 827 1979-2008 Alabama 5 4 5 5 4 9 1979-2008 Arkansas 0 0 0 0 0 0 1979-2008 California 10 10 11 11 11 11 1979-2008 Coastal Region Onshore 1 1 1 1 1 1 1979-2008 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2008 San Joaquin Basin Onshore 9 9 10 10 10 10 1979-2008 State Offshore 0 0 0 0 0 0 1979-2008 Colorado 29 32 31 32 33 45 1979-2008 Florida 1 0 0 0 0 0 1979-2008 Kansas 23 22 20 19 19 19 1979-2008

312

Shell model estimate of electric dipole moment in medium and heavy nuclei  

SciTech Connect (OSTI)

The nuclear electric dipole moment (EDM) and the nuclear Schiff moment for the lowest 1/2{sup +} state of {sup 129}Xe are investigated in terms of the nuclear shell model. We estimate the upper limit for the EDM of neutral {sup 129}Xe atom using the Schiff moment. We also estimate the upper limit of the nuclear EDM, which may be directly measured through ionic atoms.

Yoshinaga, Naotaka [Department of Physics, Saitama University, Saitama City 338-8570 (Japan); Higashiyama, Koji [Department of Physics, Chiba Institute of Technology, Narashino, Chiba 275-0023 (Japan)

2011-05-06T23:59:59.000Z

313

Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities  

Science Journals Connector (OSTI)

This paper investigates a possibility for estimating rotor angles in the time frame of transient (angle) stability of electric power systems, for use in real-time. The proposed dynamic state estimation technique is based on the use of voltage and current ... Keywords: Electric power systems, Multilayer perceptrons, Phasor measurement units, Transient stability monitoring and control

Alberto Del Angel; Pierre Geurts; Damien Ernst; Mevludin Glavic; Louis Wehenkel

2007-10-01T23:59:59.000Z

314

A robust approach to battery fuel gauging, part II: Real time capacity estimation  

Science Journals Connector (OSTI)

Abstract In this paper, the second of a series on battery fuel gauging, we present an approach for real time capacity estimation. In part I of this series, we presented a real time parameter estimation approach for various battery equivalent models. The proposed capacity estimation scheme has the following novel features: it employes total least squares (TLS) estimation in order to account for uncertainties in both model and the observations in capacity estimation. The TLS method can adaptively track changes in battery capacity. We propose a second approach to estimate battery capacity by exploiting rest states in the battery. This approach is devised to minimize the effect of hysteresis in capacity estimation. Finally, we propose a novel approach for optimally fusing capacity estimates obtained through different methods. Then, the proposed algorithm was validated using hardware-in-the-loop (HIL) data collected from commercially available Li-ion batteries. The proposed approach performs within 1% or better accuracy in terms of capacity estimation based on both simulated as well as HIL evaluations.

B. Balasingam; G.V. Avvari; B. Pattipati; K.R. Pattipati; Y. Bar-Shalom

2014-01-01T23:59:59.000Z

315

United States Government  

Broader source: Energy.gov (indexed) [DOE]

2/04 THU 14:52 FAX 423 241 3897 OIG -**- HQ l015 2/04 THU 14:52 FAX 423 241 3897 OIG -**- HQ l015 ol: Fi 13 5.8 (8-09) £1*G (in'mi^)) United States Government Department of Energy Memorandum DATE: April. 22, 2004 REPLY TO ATTN OF: T -36 (A04RL018) Audit Report No.: OAS-L-04-15 SUBJECT: Audit of Disposition of Excess Facilities at the Hanford Site TO: Keith A. Klein, Manager, Richland Operations Office INTRODUCTION AND OBJECTIVE The Hanford Site (Hanford) is the largest of the three original defense production sites founded during World War II. Between 1943 and 1963, nine plutonium production reactors were built along the Columbia River and five processing facilities were built on the site's Central Plateau, with about 1,000 support facilities. Currently, Hanford has a total of 1,500 facilities of which an estimated 1,000 are excess to current and future mission

316

Product-state Approximations to Quantum Ground States  

E-Print Network [OSTI]

The local Hamiltonian problem consists of estimating the ground-state energy (given by the minimum eigenvalue) of a local quantum Hamiltonian. First, we show the existence of a good product-state approximation for the ground-state energy of 2-local Hamiltonians with one or more of the following properties: (1) high degree, (2) small expansion, or (3) a ground state with sublinear entanglement with respect to some partition into small pieces. The approximation based on degree is a surprising difference between quantum Hamiltonians and classical CSPs (constraint satisfaction problems), since in the classical setting, higher degree is usually associated with harder CSPs. The approximation based on low entanglement, in turn, was previously known only in the regime where the entanglement was close to zero. Since the existence of a low-energy product state can be checked in NP, the result implies that any Hamiltonian used for a quantum PCP theorem should have: (1) constant degree, (2) constant expansion, (3) a "volume law" for entanglement with respect to any partition into small parts. Second, we show that in several cases, good product-state approximations not only exist, but can be found in polynomial time: (1) 2-local Hamiltonians on any planar graph, solving an open problem of Bansal, Bravyi, and Terhal, (2) dense k-local Hamiltonians for any constant k, solving an open problem of Gharibian and Kempe, and (3) 2-local Hamiltonians on graphs with low threshold rank, via a quantum generalization of a recent result of Barak, Raghavendra and Steurer. Our work introduces two new tools which may be of independent interest. First, we prove a new quantum version of the de Finetti theorem which does not require the usual assumption of symmetry. Second, we describe a way to analyze the application of the Lasserre/Parrilo SDP hierarchy to local quantum Hamiltonians.

Fernando G. S. L. Brandão; Aram W. Harrow

2014-12-15T23:59:59.000Z

317

A climatological estimate of incident solar energy in Tamaulipas, northeastern Mexico  

Science Journals Connector (OSTI)

Abstract An estimation of climatological fields of incident solar energy in Tamaulipas State, northeastern Mexico, is presented. Monthly mean evolution of solar energy in 7 automatic meteorological stations distributed along the State shows that the maximum values generally exceed 500 ± 200 W m?2 during fall-winter (Nov–Feb), and 700 ± 200 W m?2 during spring-summer (May–Aug). An empirical model, which estimates the solar energy as function of other climatic variables (minimum temperature, maximum temperature, evaporation, and precipitation) recorded in 165 climatological conventional stations, is used to extend the climatological solar-energy estimate in the study area. The mean values of both measured and estimated solar energy are objectively mapped to fill the observation gaps and reduce the noise associated with inhomogeneous statistics and estimation errors. The highest values of solar energy ( ? 6.7  kW h m?2 during the summer and ? 4.0  kW h m?2 during the winter) are observed in the highlands, southwestern part of the State, whereas the lowest values ( ? 5.7  kW h m?2 during the summer and ? 2.8  kW h m?2 during the winter) are observed in the south-central part of the State.

David Rivas; Salomón Saleme-Vila; Rogelio Ortega-Izaguirre; Fabio Chalé-Lara; Felipe Caballero-Briones

2013-01-01T23:59:59.000Z

318

Characterization of wind power resource in the United States*  

E-Print Network [OSTI]

Characterization of wind power resource in the United States* U. Bhaskar Gunturu and C. Adam Chemistry and Physics Characterization of wind power resource in the United States U. B. Gunturu and C. A, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar

319

GAO Cost Estimating and Assessment Guide | Department of Energy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft Word...

320

DOE Challenge Home Savings and Cost Estimate Summary | Department...  

Energy Savers [EERE]

Savings and Cost Estimate Summary DOE Challenge Home Savings and Cost Estimate Summary The U.S. Department of Energy Challenge Home Savings and Cost Estimate Summary, November...

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Estimating heat of combustion for waste materials  

SciTech Connect (OSTI)

Describes a method of estimating the heat of combustion of hydrocarbon waste (containing S,N,Q,C1) in various physical forms (vapor, liquid, solid, or mixtures) when the composition of the waste stream is known or can be estimated. Presents an equation for predicting the heat of combustion of hydrocarbons containing some sulfur. Shows how the method is convenient for estimating the heat of combustion of a waste profile as shown in a sample calculation.

Chang, Y.C.

1982-11-01T23:59:59.000Z

322

Interval estimation in calibration problems: an alternate approach  

E-Print Network [OSTI]

measurement of the dependent varia- ble. This interval will depend upon the dependent variable and also on the outcome of the calibration experiment. For each unknown a state- ment is made in the sense that it belongs to the interval. Then he searches... is computed as 2 n , 1(yi ? y) Ss n ? 2 and will also be denoted by NSE. (2. 2) In the calibration problem, the classical estimator of x* given an obsezvation y* is y* ? b 0 x* bl Under the normality assumption x" is the NLE of x* (Graybill 1976...

Quaino, Oscar Rodolfo

2012-06-07T23:59:59.000Z

323

Geothermal hydrothermal direct heat use: US market size and market penetration estimates  

SciTech Connect (OSTI)

This study estimates the future regional and national market penetration path of hydrothermal geothermal direct heat applications in the United States. A Technology Substitution Model (MARPEN) is developed and used to estimate the energy market shares captured by low-temperature (50 to 150/sup 0/C) hydrothermal geothermal energy systems over the period 1985 to 2020. The sensitivity of hydrothermal direct heat market shares to various government hydrothermal commercialization policies is examined. Several substantive recommendations to help accelerate commercialization of geothermal direct heat utilization in the United States are indicated and possible additional analyses are discussed.

El Sawy, A.H.; Entingh, D.J.

1980-09-01T23:59:59.000Z

324

Convergence Estimates of Multilevel Additive and Multiplicative ...  

E-Print Network [OSTI]

Dec 7, 1993 ... Ming-Hsiung, Chia-Yi 621, Taiwan. New uniform estimates for multigrid algorithms are established for certain non-symmetric indefinite prob-.

2005-04-06T23:59:59.000Z

325

ARM - Lesson Plans: Estimating Local Sea Level  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lesson Plans Lesson Plans: Estimating Local Sea Level Objective The objective is to train students' skills in observing the local environment based upon the sea level...

326

Improved diagnostic model for estimating wind energy  

SciTech Connect (OSTI)

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

327

Fast Algorithms for the Minimum Volume Estimator  

E-Print Network [OSTI]

Abstract: The MVE estimator is an important tool in robust regression and outlier detection in statistics. We develop fast and efficient algorithms for the MVE ...

S D Ahipasaoglu

328

U.S. Uranium Reserves Estimates  

Gasoline and Diesel Fuel Update (EIA)

The initial uranium property reserves estimates were based on bore hole radiometric data validated by chemical analysis of samples from cores and drill cuttings. The...

329

Thermal Hydraulic Simulations, Error Estimation and Parameter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M. Wildey Sandia National...

330

Recoverable Resource Estimate of Identified Onshore Geopressured...  

Office of Scientific and Technical Information (OSTI)

Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana AAPG 2012 Annual Convention and Exhibition Ariel Esposito and Chad...

331

Guidelines for Estimating Unmetered Landscaping Water Use  

Broader source: Energy.gov [DOE]

Document describes the step-by-step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method.

332

State of the State's Rural Health  

E-Print Network [OSTI]

of health status, health behavior, or health- care access and Oklahomans do not compare favorablyState of the State's Rural Health 2007 Edition Produced by OSU Center for Rural Health ASnapshotof-4391 January 1, 2007 Dear Reader: Welcome to the Oklahoma State University Center for Rural Health's inaugural

Veiga, Pedro Manuel Barbosa

333

Nozick's minimal state?  

E-Print Network [OSTI]

In his book, Anarchy , State, and Utopia, Robert Nozick argues that the only state that can be justified is the minimal state, a state limited to providing protection for all its citizens. Nozick explains how a minimal state could naturally develop...

Russell, Darrell James

2012-06-07T23:59:59.000Z

334

Fuel Cell System Cost for Transporationa--2008 Cost Estimate  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Fuel Cell System Cost for Fuel Cell System Cost for Transportation-2008 Cost Estimate National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen Program NREL/BK-6A1-45457 May 2009 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or

335

Cost Estimating Handbook for Environmental Restoration  

SciTech Connect (OSTI)

Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

NONE

1990-09-01T23:59:59.000Z

336

Shale Natural Gas Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

1,293 2,116 3,110 5,336 7,994 2007-2011 1,293 2,116 3,110 5,336 7,994 2007-2011 Alaska 0 0 0 0 0 2007-2011 Lower 48 States 1,293 2,116 3,110 5,336 7,994 2007-2011 Alabama 0 0 0 0 2007-2010 Arkansas 94 279 527 794 940 2007-2011 California 101 2011-2011 San Joaquin Basin Onshore 101 2011-2011 Colorado 0 0 1 1 3 2007-2011 Kentucky 2 2 5 4 4 2007-2011 Louisiana 1 23 293 1,232 2,084 2007-2011 North 1 23 293 1,232 2,084 2007-2011 South Onshore 0 2011-2011 Michigan 148 122 132 120 106 2007-2011 Montana 12 13 7 13 13 2007-2011 New Mexico 2 0 2 6 9 2007-2011 East 2 0 1 3 5 2007-2011 West 0 0 1 3 4 2007-2011 North Dakota 3 3 25 64 95 2007-2011 Ohio 0 0 0 0 2007-2010 Oklahoma 40 168 249 403 476 2007-2011 Pennsylvania 1 1 65 396 1,068 2007-2011

337

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network [OSTI]

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density...

Chang, Meng-Shiuh

2012-10-19T23:59:59.000Z

338

Hybrid Estimation of CMB Polarization Power Spectra  

E-Print Network [OSTI]

This paper generalises the hybrid power spectrum estimator developed in Efstathiou (2004a) to the estimation of polarization power spectra of the cosmic microwave background radiation. The hybrid power spectrum estimator is unbiased and we show that it is close to optimal at all multipoles, provided the pixel noise satisfies certain reasonable constraints. Furthermore, the hybrid estimator is computationally fast and can easily be incorporated in a Monte-Carlo chain for Planck-sized data sets. Simple formulae are given for the covariance matrices, including instrumental noise, and these are tested extensively against numerical simulations. We compare the behaviour of simple pseudo-Cell estimates with maximum likelihood estimates at low multipoles. For realistic sky cuts, maximum likelihood estimates reduce very significantly the mixing of E and B modes. To achieve limits on the scalar-tensor ratio of r<<0.1 from sky maps with realistic sky cuts, maximum likelihood methods, or pseudo-Cell estimators based on unambiguous E and B modes, will be essential.

G. Efstathiou

2006-01-05T23:59:59.000Z

339

Reservation Price Estimation by Adaptive Conjoint Analysis  

E-Print Network [OSTI]

Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

Schmidt-Thieme, Lars

340

MATLAB Functions for Profiled Estimation of  

E-Print Network [OSTI]

MATLAB Functions for Profiled Estimation of Differential Equations Giles Hooker June 23, 2010: . . . . . . . . . . . . . . . . . . . 5 2 Example: FitzHugh-Nagumo Equations 5 3 MATLAB Objects Needed for the Estimation. 6 3.1 Cell is designed to accompany a Matlab software package that esti- mates the parameters in differential equation

Keinan, Alon

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Systematic Approach for Decommissioning Planning and Estimating  

SciTech Connect (OSTI)

Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.

Dam, A. S.

2002-02-26T23:59:59.000Z

342

Estimating Motor Efficiency in the Field  

Broader source: Energy.gov [DOE]

Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency.

343

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable) costs apply

Boisvert, Jeff

344

Types of Costs Types of Cost Estimates  

E-Print Network [OSTI]

-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408 ­ off-site management or corporate level expenditure · Direct vs. Indirect Costs ­ Direct (or variable

Boisvert, Jeff

345

5 SAMPLING TO ESTIMATE SPATIAL PATTERN  

Science Journals Connector (OSTI)

......be chosen to average out uninformative...range over their home territory and...pooled before consumption and thus reflect...estimation of average, maximum or...in a specific energy window, which...estimate the average over the entire...exposure via milk consumption of radionuclides......

5 SAMPLING TO ESTIMATE SPATIAL PATTERN

2006-06-01T23:59:59.000Z

346

Power estimation technique for DSP architectures  

Science Journals Connector (OSTI)

The main goal of power estimation is to optimize the power consumption of a electronic design. Power is a strongly pattern dependent function. Input statistics greatly influence on average power. We solve the pattern dependence problem for intellectual ... Keywords: DSP architecture, Digital filter, Intellectual property, Macromodel, Monte Carlo simulation, Power estimation

Yaseer A. Durrani; Teresa Riesgo

2009-03-01T23:59:59.000Z

347

Density Estimation Trees in High Energy Physics  

E-Print Network [OSTI]

Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.

Anderlini, Lucio

2015-01-01T23:59:59.000Z

348

New approaches to estimation of magnetotelluric parameters  

SciTech Connect (OSTI)

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the dead band'' (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-01-01T23:59:59.000Z

349

Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Estimating The Thermodynamics And Kinetics Of Chlorinated Hydrocarbon Degradation. Abstract: Many...

350

The use of ultrasonic techniques in estimating carcass traits in live beef animals  

E-Print Network [OSTI]

in a vertical position. Heritabili of Ribe e Area In the past 12 months additional studies have been carried out by various research organizations throughout the continental United States utilizing ultrasonic techniques as a means of estimating... that the inheritance of muscle development of both the ribeye and round areas have not been precisely defined and suggested that ultrasonic methods might be used for a more critical study of the prob- lem. Cole et al. (1962) stated that over 70 percent...

Wideman, Donald

2012-06-07T23:59:59.000Z

351

Generalized coherent states  

E-Print Network [OSTI]

In the coherent state of the harmonic oscillator, the probability density is that of the ground state subjected to an oscillation along a classical trajectory. Senitzky and others pointed out that there are states of the harmonic oscillator corresponding to an identical oscillatory displacement of the probability density of any energy eigenstate. These generalizations of the coherent state are rarely discussed, yet they furnish an interesting set of quantum states of light that combine features of number states and coherent states. Here we give an elementary account of the quantum optics of generalized coherent states.

T. G. Philbin

2013-12-18T23:59:59.000Z

352

States & Emerging Energy Technologies  

Broader source: Energy.gov (indexed) [DOE]

States & Emerging Energy Technologies August 15, 2013 DOE's State and Local Technical Assistance Program 2 DOE's Technical Assistance Program * Strategic Energy Planning * Program...

353

Evaluation of solar radiation estimation methods for reference evapotranspiration estimation in Canada  

Science Journals Connector (OSTI)

The accuracy of nine solar radiation (R s ) estimation models and their effects on reference evapotranspiration (ET o ...)...

Olanike O Aladenola; Chandra A Madramootoo

2013-12-01T23:59:59.000Z

354

Fault (In)Dependent Cost Estimates and Conflict-Directed Backtracking to Guide Sequential Circuit Test Generation  

Science Journals Connector (OSTI)

The search for tests for sequential circuits (STPG) by deterministic test pattern generation is a process of alternately performing mandatory assignments and heuristic decisions on signal lines. We have observed problems in the decision-making process ... Keywords: ATPG, sequential circuit TPG, cost estimates, back-jumping, conflict-directed backtrack, three-state (tri-state) circuit TPG

Mario Konijnenburg; Hans Van der Linden; Ad van de Goor

1999-11-01T23:59:59.000Z

355

Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength  

E-Print Network [OSTI]

1 Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent-strength reliability by assuming the Burr-XII distribution. The research methodology adopted here is to estimate. By using real data sets we well illustrate the procedure. Key Words: Burr-XII distribution, reliability

Kundu, Debasis

356

Qutrit Magic State Distillation  

E-Print Network [OSTI]

Magic state distillation (MSD) is a purification protocol that plays a central role in fault tolerant quantum computation. Repeated iteration of the steps of a MSD protocol, generates pure single non-stabilizer states, or magic states, from multiple copies of a mixed resource state using stabilizer operations only. Thus mixed resource states promote the stabilizer operations to full universality. Magic state distillation was introduced for qubit-based quantum computation, but little has been known concerning MSD in higher dimensional qudit-based computation. Here, we describe a general approach for studying MSD in higher dimensions. We use it to investigate the features of a qutrit MSD protocol based on the 5-qutrit stabilizer code. We show that this protocol distills non-stabilizer magic states, and identify two types of states, that are attractors of this iteration map. Finally, we show how these states may be converted, via stabilizer circuits alone, into a state suitable for state injected implementation ...

Anwar, Hussain; Browne, Dan E

2012-01-01T23:59:59.000Z

357

Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model Title Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model Publication Type Report LBNL Report Number LBNL-6541E Year of Publication 2013 Authors Greenblatt, J. Date Published 10/2013 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract A California Greenhouse Gas Inventory Spreadsheet (GHGIS) model was developed to explore the impact of combinations of state policies on state greenhouse gas (GHG) and regional criteria pollutant emissions. The model included representations of all GHGemitting sectors of the California economy (including those outside the energy sector, such as high global warming potential gases, waste treatment, agriculture and forestry) in varying degrees of detail, and was carefully calibrated using available data and projections from multiple state agencies and other sources. Starting from basic drivers such as population, numbers of households, gross state product, numbers of vehicles, etc., the model calculated energy demands by type (various types of liquid and gaseous hydrocarbon fuels, electricity and hydrogen), and finally calculated emissions of GHGs and three criteria pollutants: reactive organic gases (ROG), nitrogen oxides (NOx), and fine (2.5 μm) particulate matter (PM2.5). Calculations were generally statewide, but in some sectors, criteria pollutants were also calculated for two regional air basins: the South Coast Air Basin (SCAB) and the San Joaquin Valley (SJV). Three scenarios were developed that attempt to model: (1) all committed policies, (2) additional, uncommitted policy targets and (3) potential technology and market futures. Each scenario received extensive input from state energy planning agencies, in particular the California Air Resources Board. Results indicate that all three scenarios are able to meet the 2020 statewide GHG targets, and by 2030, statewide GHG emissions range from between 208 and 396 MtCO2/yr. However, none of the scenarios are able to meet the 2050 GHG target of 85 MtCO2/yr, with emissions ranging from 188 to 444 MtCO2/yr, so additional policies will need to be developed for California to meet this stringent future target. A full sensitivity study of major scenario assumptions was also performed. In terms of criteria pollutants, targets were less well-defined, but while all three scenarios were able to make significant reductions in ROG, NOx and PM2.5 both statewide and in the two regional air basins, they may nonetheless fall short of what will be required by future federal standards. Specifically, in Scenario 1, regional NOx emissions are approximately three times the estimated targets for both 2023 and 2032, and in Scenarios 2 and 3, NOx emissions are approximately twice the estimated targets. Further work is required in this area, including detailed regional air quality modeling, in order to determine likely pathways for attaining these stringent targets.

358

Motor Gasoline Outlook and State MTBE Bans  

Gasoline and Diesel Fuel Update (EIA)

Motor Gasoline Outlook Motor Gasoline Outlook and State MTBE Bans Tancred Lidderdale Contents 1. Summary 2. MTBE Supply and Demand 3. Ethanol Supply 4. Gasoline Supply 5. Gasoline Prices A. Long-Term Equilibrium Price Analysis B. Short-Term Price Volatility 6. Conclusion 7. Appendix A. Estimating MTBE Consumption by State 8. Appendix B. MTBE Imports and Exports 9. Appendix C. Glossary of Terms 10. End Notes 11. References 1. Summary The U.S. is beginning the summer 2003 driving season with lower gasoline inventories and higher prices than last year. Recovery from this tight gasoline market could be made more difficult by impending State bans on the blending of methyl tertiary butyl ether (MTBE) into gasoline that are scheduled to begin later this year. Three impending State bans on MTBE blending could significantly affect gasoline

359

Wind energy potential in the United States  

SciTech Connect (OSTI)

Estimates of the electricity that could potentially be generated by wind power and of the land area available for wind energy development have been calculated for the contiguous United States. The estimates are based on published wind resource data and exclude windy lands that are not suitable for development as a result of environmental and land-use considerations. Despite these exclusions, the potential electric power from wind energy is surprisingly large. Good wind areas, which cover 6% of the contiguous US land area, have the potential to supply more than one and a half times the current electricity consumption of the United States. Technology under development today will be capable of producing electricity economically from good wind sites in many regions of the country.

Elliott, D.L.; Schwartz, M.N.

1993-06-01T23:59:59.000Z

360

Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? -The Relationship between Homogeneity of Analogues  

E-Print Network [OSTI]

Is This Cost Estimate Reliable?Is This Cost Estimate Reliable? - The Relationship between/4)( / ) Software cost estimation Definition · Task of predicting the cost required to complete a software projectproject Techniques for software cost estimation · Algorithmic estimationAlgorithmic estimation ­ Calculate

Bae, Doo-Hwan

Note: This page contains sample records for the topic "70-2011 estimates state" 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

PDE Estimation Techniques for Advanced Battery Management Systems -Part II: SOH Identification  

E-Print Network [OSTI]

vehi- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part II: SOH Identification S examines identification algorithms for state- of-health (SOH) related parameters in advanced batteries

Krstic, Miroslav

362

Dynamic estimation of specific growth rates of bacteria for a wastewater treatment process  

E-Print Network [OSTI]

Dynamic estimation of specific growth rates of bacteria for a wastewater treatment process S. Diop1 for specific growth rates for a wastewater treatment process. A 2-stage model of 6 dynamic states is assumed. Steyer, Dynamic model develop- ment and parameter identification for an anaerobic wastewater treatment

Paris-Sud XI, Université de

363

Multi-Locus Estimates of Population Structure and Migration in a Fence Lizard Hybrid Zone  

E-Print Network [OSTI]

Multi-Locus Estimates of Population Structure and Migration in a Fence Lizard Hybrid Zone Adam D States of America Abstract A hybrid zone between two species of lizards in the genus Sceloporus (S the processes of lineage divergence and merging. This hybrid zone involves complex interactions between 2

364

Estimating Use of Non-Motorized Infrastructure: Models of Bicycle and  

E-Print Network [OSTI]

Estimating Use of Non-Motorized Infrastructure: Models of Bicycle and Pedestrian Traffic · Transportation managers lack data about use of bicycle and pedestrian facilities. · Federal, state, & local of Day Bicycle: Loop Detector Bicycle: Manual Count Pedestrian: Manual Count #12;Scaling factors

Minnesota, University of

365

The MIRD method of estimating absorbed dose  

SciTech Connect (OSTI)

The estimate of absorbed radiation dose from internal emitters provides the information required to assess the radiation risk associated with the administration of radiopharmaceuticals for medical applications. The MIRD (Medical Internal Radiation Dose) system of dose calculation provides a systematic approach to combining the biologic distribution data and clearance data of radiopharmaceuticals and the physical properties of radionuclides to obtain dose estimates. This tutorial presents a review of the MIRD schema, the derivation of the equations used to calculate absorbed dose, and shows how the MIRD schema can be applied to estimate dose from radiopharmaceuticals used in nuclear medicine.

Weber, D.A.

1991-01-01T23:59:59.000Z

366

Estimating pool energy requirements with a thermometer  

SciTech Connect (OSTI)

It is pointed out that there is a need for a simple method of estimating the energy required by a swimming pool. (This is the first step in determining the size of solar pool heaters for a specific application.) Previous methods for estimating pool energy requirements demand mathematical skills. The method proposed here requires only: (1) measurement of the average pool temperature; (2) an estimate of the pool volume; and (3) a knowledge of the desired temperature. Average temperature of the pool is measured using a weighted thermometer at different locations under various weather conditions. Step-by-step instructions complete with a table are provided. (MJJ)

Not Available

1980-04-01T23:59:59.000Z

367

A priori estimates for relativistic liquid bodies  

E-Print Network [OSTI]

We demonstrate that a sufficiently smooth solution of the relativistic Euler equations that represents a dynamical compact liquid body, when expressed in Lagrangian coordinates, determines a solution to a system of non-linear wave equations with acoustic boundary conditions. Using this wave formulation, we prove that these solutions satisfy energy estimates without loss of derivatives. Importantly, our wave formulation does not require the liquid to be irrotational, and the energy estimates do not rely on divergence and curl type estimates employed in previous works.

Oliynyk, Todd A

2015-01-01T23:59:59.000Z

368

Estimating Soil C Sequestration Potential in U.S. Agricultural Soils Using the IPCC Approach  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating Soil C Sequestration Potential in U.S. Agricultural Soils Using Estimating Soil C Sequestration Potential in U.S. Agricultural Soils Using the IPCC Approach M. Sperow Natural Resource Ecology Laboratory, Colorado State University Fort Collins, CO 80523 M. Eve US Department of Agriculture, Agricultural Research Service Soil Plant Nutrient Research Unit Fort Collins, Colorado 80522 K. Paustian Natural Resource Ecology Laboratory, Colorado State University Fort Collins, CO 80523 Abstract Field studies across the U.S. have been used to estimate soil C stock changes that result from changes in agricultural management. Data from these studies are not easily extrapolated to reflect changes at a national scale because soils and climate vary locally and regionally. These studies are also limited to addressing existing changes in

369

A tracking estimator for the firing angle of the Thyristor Controlled Series Capacitors (TCSC)  

Science Journals Connector (OSTI)

The firing angle and the fundamental frequency equivalent impedance are the two defining parameters of a Thyristor Controlled Series Capacitor (TCSC). They can be used as the feedback signals in effective control of the TCSC. This paper presents a discrete-time tracking estimator, which is used for dynamically tracking the firing angle. The fundamental frequency equivalent impedance of the TCSC is then determined using the previously established model of the TCSC. The parameters of the TCSC are initialized using an extended state estimation approach, which incorporates the TCSC power flows as part of the state vector. Illustrative simulation examples are shown to demonstrate the effectiveness of the proposed estimator in tracking the parameters.

Yunqiang Lu; Ali Abur

2005-01-01T23:59:59.000Z

370

State Opportunities for Action: Update of States' CHP Activities...  

Energy Savers [EERE]

State Opportunities for Action: Update of States' CHP Activities (ACEEE), October 2003 State Opportunities for Action: Update of States' CHP Activities (ACEEE), October 2003 This...

371

External breaking of ground-state symmetry  

Science Journals Connector (OSTI)

Ground-state symmetry can be broken by an external field. The threshold value of the symmetry-breaking field may be roughly estimated by comparing experimentally the behavior of two identical physical quantities, as functions of the field, for the set of field directions equivalent, with respect to the action, to a group generator. The kinetic coefficients as the functions of magnetic induction B are used as an illustration.

S. Malinowski

1994-01-01T23:59:59.000Z

372

U.S. Uranium Reserves Estimates  

Gasoline and Diesel Fuel Update (EIA)

1. U.S. Forward-Cost Uranium Reserves by State, Year-End 2008 State 50lb 100lb Ore (million tons) Gradea (%) U3O8 (million lbs) Ore (million tons) Gradea (%) U3O8 (million lbs)...

373

Estimating solar irradiance using a geostationary satellite  

E-Print Network [OSTI]

35% of the worlds primary energy mix and in less than half ainto the state‘s energy mix. As a result over 4,800 MW ofenergy into the primary energy mix, both Europe and the

Urquhart, Bryan Glenn

2011-01-01T23:59:59.000Z

374

Improving thermodynamic property estimation through volume translation  

E-Print Network [OSTI]

Steady state process simulation is used throughout the chemical industry to guide development and help reduce uncertainty and risk. Volumetric equations of state (EOS)s are the most robust of the numerous methods available ...

Frey, Kurt, Sc. D. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

375

Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method,  

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

Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 15. Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve by Mining Method, 2012 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Underground - Minable Coal Surface - Minable Coal Total Coal-Resource State Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base Recoverable Reserves at Producing Mines Estimated Recoverable Reserves Demonstrated Reserve Base

376

Doorway states and billiards  

SciTech Connect (OSTI)

Whenever a distinct state is immersed in a sea of complicated and dense states, the strength of the distinct state, which we refer to as a doorway, is distributed in their neighboring states. We analyze this mechanism for 2-D billiards with different geometries. One of them is symmetric and integrable, another is symmetric but chaotic, and the third has a capricious form. The fact that the doorway-state mechanism is valid for such highly diverse cases, proves that it is robust.

Franco-Villafane, J. A.; Mendez-Sanchez, R. A. [Instituto de Ciencias Fisicas, Universidad Nacional Autonoma de Mexico, P.O. Box 48-3, 62251 Cuernavaca Mor. (Mexico); Flores, J. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, P.O. Box 20-364, 01000 Mexico, D. F. (Mexico); Centro Internacional de Ciencias, A. C., P.O. Box 6-101 C.P. 62131 Cuernavaca, Mor. (Mexico); Mateos, J. L. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, P.O. Box 20-364, 01000 Mexico, D. F. (Mexico); Novaro, O. [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, P.O. Box 20-364, 01000 Mexico, D. F. (Mexico); Seligman, T. H. [Instituto de Ciencias Fisicas, Universidad Nacional Autonoma de Mexico, P.O. Box 48-3, 62251 Cuernavaca Mor. (Mexico); Centro Internacional de Ciencias, A. C., P.O. Box 6-101 C.P. 62131 Cuernavaca, Mor. (Mexico)

2010-12-23T23:59:59.000Z

377

Colorado State University Colorado State University  

E-Print Network [OSTI]

Colorado State University _______________ 1.1 Page 1 Colorado State University In 1870, the Territorial Council and House of Representatives of the Territory of Colorado created the Colorado that same year as Colorado's land-grant college under the Morrill Act of 1862. The Morrill Act provided

Stephens, Graeme L.

378

Colorado State University Colorado State University  

E-Print Network [OSTI]

Colorado State University Colorado State University In 1870, the Territorial Council and House of Representatives of the Territory of Colorado created the Colorado Agricultural College. When the Territory became. The College admitted its first students in 1879 and received designation that same year as Colorado's land

Collett Jr., Jeffrey L.

379

STATE OF CALIFORNIA STATE ENERGY RESOURCES CONSERVATION  

E-Print Network [OSTI]

.5.4, 25402.8 and 25910. II. HISTORY OF THE PROCEEDING To develop the 2013 Standards, the Energy CommissionSTATE OF CALIFORNIA STATE ENERGY RESOURCES CONSERVATION AND DEVELOPMENT COMMISSION ) 2013 Title 24 Building Energy Efficiency ) Docket No. 12-BSTD-1 Standards Rulemaking Proceeding ) California Code

380

STATE OF CALIFORNIA STATE ENERGY RESOURCES CONSERVATION  

E-Print Network [OSTI]

. HISTORY OF THE PROCEEDING To develop the 2013 Standards, the Energy Commission conducted an open, transpaSTATE OF CALIFORNIA STATE ENERGY RESOURCES CONSERVATION AND DEVELOPMENT COMMISSION ) 2013 Title 24 Building Energy Efficiency) Docket No. 12-BSTD-1 Standards Rulemaking Proceeding ) Order No. 12

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Estimates of Monthly CO2 Emissions and Associated 13C/12C Values from  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Monthly Isotopic (13C/12C) Estimates Monthly Isotopic (13C/12C) Estimates Estimates of Monthly CO2 Emissions and Associated 13C/12C Values from Fossil-Fuel Consumption in the U.S.A. DOI: 10.3334/CDIAC/ffe.001 Web page graphic Graphics Web page graphic Data (ASCII Fixed Format) Web page graphic Data (ASCII Comma Delimited) Investigators T.J. Blasing and Gregg Marland Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6290, U.S.A. Christine Broniak Department of Agricultural & Resource Economics, Oregon State University, Corvallis, Oregon 97331-3601 Period of Record 1981-2003 Methods The data from which these carbon-emissions estimates were derived are values of fuel consumed: in billions of cubic feet, for natural gas; in

382

Guidelines for Estimating Unmetered Landscapting Water Use  

Broader source: Energy.gov (indexed) [DOE]

Guidelines for Estimating Guidelines for Estimating Unmetered Landscaping Water Use July 2010 i Summary Executive Order 13514 requires Federal agencies to develop a baseline for industrial, landscaping, and agricultural water use in fiscal year 2010. Measuring actual water use through flow meters is the best method to develop this baseline. But there are instances where Federal sites do not meter these applications, so developing a baseline will be problematic. Therefore the intent of this document is to assist Federal agencies in the baseline development by providing a methodology to calculate unmetered sources of landscaping water use utilizing engineering estimates. The document lays-out step by step instructions to estimate landscaping water using two alternative

383

Estimating Demand Response with Panel Data  

Science Journals Connector (OSTI)

In this paper, we extend to panel data the iterated linear least squares estimator of Blundell and Robin (in J Appl Econometrics 14: 209–232 1999). It is shown to be consistent when total expenditure and regre...

Sébastien Lecocq; Jean-Marc Robin

2006-11-01T23:59:59.000Z

384

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400 TW. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 2–4 W m?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1 W m?2 at wind farm scales larger than about 100 km2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

385

Data Fusion for Improved Respiration Rate Estimation  

E-Print Network [OSTI]

We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the ...

Nemati, Shamim

386

Budget estimates, fiscal year 1997. Volume 12  

SciTech Connect (OSTI)

This report contains the fiscal year budget justification to Congress. The budget provides estimates for salaries and expenses and for the Office of the Inspector General for fiscal year 1997.

NONE

1996-03-01T23:59:59.000Z

387

A simple method to estimate interwell autocorrelation  

SciTech Connect (OSTI)

The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.

Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)

1997-08-01T23:59:59.000Z

388

Nonparametric estimation of multiple structures with outliers  

E-Print Network [OSTI]

Nonparametric estimation of multiple structures with outliers Wei Zhang and Jana Kosecka George outliers (pseudo outliers) to it in addition to the true outliers (gross outliers). The problem of robust

Kosecka, Jana

389

Fracture compliance estimation using borehole tube waves  

E-Print Network [OSTI]

We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...

Bakku, Sudhish Kumar

390

Risk Bounds for Mixture Density Estimation  

E-Print Network [OSTI]

In this paper we focus on the problem of estimating a bounded density using a finite combination of densities from a given class. We consider the Maximum Likelihood Procedure (MLE) and the greedy procedure described by ...

Rakhlin, Alexander

2004-01-27T23:59:59.000Z

391

PRELIMINARY TIME ESTIMATES FOR CORING OPERATIONS  

E-Print Network [OSTI]

EQUATIONS 17 FIGURE 1. DRILL STRING ROUND TRIP 19 FIGURE 2. STANDARD ROTARY CORING (RCB) WIRELINE TRIP 21) WIRELINE TRIP 25 FIGURE 5. ESTIMATED RIGGING, WIRELINE, AND SCANNING TIME FOR REENTRY. 27 #12;Preliminary

392

On the estimation of numerus clausus  

Science Journals Connector (OSTI)

In this paper a method for estimating the necessary number of enrollments is derived, when the future need of graduates and the probabilities of ever graduating and of graduating in a certain time are given. T...

Anita Lukka

1972-01-01T23:59:59.000Z

393

Nonlinear parameter estimation in parallel computing environments  

E-Print Network [OSTI]

This thesis examines issues related to the paralielization of PESTI a parameter estimation code which was originally developed by Dr. A. T. Watson. PEST is based on the trust region implementation of Levenberg-Marquardt nonlinear least square...

Li, Jie

2012-06-07T23:59:59.000Z

394

Estimating wave energy from a wave record  

Science Journals Connector (OSTI)

This note is concerned with the calculation of wave energy from a time series record of wave heights. Various methods are used to estimate the wave energy. For wave records that contain a number of different ... ...

Sasithorn Aranuvachapun; John A. Johnson

1977-01-01T23:59:59.000Z

395

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect (OSTI)

The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

Boyd, Brian K.

2010-08-01T23:59:59.000Z

396

Oil reservoir properties estimation using neural networks  

SciTech Connect (OSTI)

This paper investigates the applicability as well as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data. This approach relies on JPL`s adjoint operators general purpose neural network code to determine the best suited architecture. The authors believe that results presented in this work demonstrate that artificial neural networks produce surprisingly accurate estimates of the reservoir parameters.

Toomarian, N.B. [California Inst. of Tech., Pasadena, CA (United States); Barhen, J.; Glover, C.W. [Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research; Aminzadeh, F. [UNOCAL Corp., Sugarland, TX (United States)

1997-02-01T23:59:59.000Z

397

Lognormal parameter estimation with censored data  

E-Print Network [OSTI]

[1966] reopened. the case for maximum-likcli- hooc. by exploring iterative echniques i'or the solutions to the maxim~. -likelihood equst, iona for truncated ani ccrsored samples. Tney noted. th. t although the local-msximim-likelihood estimates were... of expected biases for given parsmete. values. In addition, a +echnique is developed for the elimination oi' the bias in the maximum-likelihood estimators for a mu'tiparameter case. The latter two problem- have not pre- viously been discussed...

Zeis, Charles David

1970-01-01T23:59:59.000Z

398

TY RPRT T1 Estimating Policy Driven Greenhouse Gas Emissions Trajectories in  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Estimating Policy Driven Greenhouse Gas Emissions Trajectories in Estimating Policy Driven Greenhouse Gas Emissions Trajectories in California The California Greenhouse Gas Inventory Spreadsheet GHGIS Model A1 J Greenblatt AB p A California Greenhouse Gas Inventory Spreadsheet GHGIS model was developed to explore the impact of combinations of state policies on state greenhouse gas GHG and regional criteria pollutant emissions The model included representations of all GHGemitting sectors of the California economy including those outside the energy sector such as high global warming potential gases waste treatment agriculture and forestry in varying degrees of detail and was carefully calibrated using available data and projections from multiple state agencies and other sources Starting from basic drivers such as population numbers

399

Knowledge and ignorance in incomplete quantum state tomography  

E-Print Network [OSTI]

Quantum state reconstruction on a finite number of copies of a quantum system with informationally incomplete measurements does, as a rule, not yield a unique result. We derive a reconstruction scheme where both the likelihood and the von Neumann entropy functionals are maximized in order to systematically select the most-likely estimator with the largest entropy, that is the least-bias estimator, consistent with a given set of measurement data. This is equivalent to the joint consideration of our partial knowledge and ignorance about the ensemble to reconstruct its identity. An interesting structure of such estimators will also be explored.

Y. S. Teo; H. Zhu; B. -G. Englert; J. Rehacek; Z. Hradil

2011-02-14T23:59:59.000Z

400

Entangled qubits in a non-Gaussian quantum state  

SciTech Connect (OSTI)

We experimentally generate and tomographically characterize a mixed, genuinely non-Gaussian bipartite continuous-variable entangled state. By testing entanglement in 2x2-dimensional two-qubit subspaces, entangled qubits are localized within the density matrix, which, first, proves the distillability of the state and, second, is useful to estimate the efficiency and test the applicability of distillation protocols. In our example, the entangled qubits are arranged in the density matrix in an asymmetric way, i.e., entanglement is found between diverse qubits composed of different photon number states, although the entangled state is symmetric under exchanging the modes.

Kiesel, T.; Vogel, W.; Hage, B.; Schnabel, R. [Arbeitsgruppe Quantenoptik, Institut fuer Physik, Universitaet Rostock, D-18051 Rostock (Germany); ARC Centre of Excellence for Quantum-Atom Optics, Department of Quantum Science, Australian National University, Canberra, Australian Capital Territory 0200 (Australia); Institut fuer Gravitationsphysik, Leibniz Universitaet Hannover and Max-Planck-Institut fuer Gravitationsphysik (Albert-Einstein-Institute), Callinstrasse 38, D-30167 Hannover (Germany)

2011-06-15T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Environmental State University  

E-Print Network [OSTI]

Biology Water Science Nursery Management Plant Breeding Biofuel Feedstocks OUR DEPARTMENT The PLANT specialties, including plant breeding, genetic engineering, sustainable agriculture, ornamental production State University is the only land-grant, Hispanic serving university in the contiguous United States

402

States & Emerging Energy Technologies  

Broader source: Energy.gov [DOE]

This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on States & Emerging Energy Technologies.

403

AASG STATE GDR  

Energy Science and Technology Software Center (OSTI)

003198MLTPL00 AASG State Geothermal Data Repository for the National Geothermal Data System.  http://repository.stategeothermaldata.org/repository/ 

404

AASG State Geological Survey  

Broader source: Energy.gov [DOE]

presentation at the April 2013 peer review meeting held in Denver, Colorado.Contributions to the NGDSAASG State Geological Survey

405

State Report forState Report forState Report forState Report for From the Research Project  

E-Print Network [OSTI]

State Report forState Report forState Report forState Report for From the Research Project State Report forState Report forState Report forState Report for Washington University In cooperation with the Washington Department of Fish and Wildlife FINAL REPORT April 2011

406

ESTIMATING RISK TO CALIFORNIA ENERGY INFRASTRUCTURE FROM PROJECTED CLIMATE CHANGE  

E-Print Network [OSTI]

the state’s natural gas-fired power generation facilities,the state’s natural gas-fired power generation facilities,

Sathaye, Jayant

2011-01-01T23:59:59.000Z

407

Black brane steady states  

E-Print Network [OSTI]

We follow the evolution of an asymptotically AdS black brane with a fixed temperature gradient at spatial infinity until a steady state is formed. The resulting energy density and energy flux of the steady state in the boundary theory are compared to a conjecture on the behavior of steady states in conformal field theories. Very good agreement is found.

Amado, Irene

2015-01-01T23:59:59.000Z

408

State Contracting and Procurement  

E-Print Network [OSTI]

State Contracting and Procurement Registration System (SCPRS) Illustrated User Manual #12;2 State Contracting and Procurement Registration System (SCPRS) Rev. 4/23/09 Copyright © 2008 RFP Depot, LLC dba Bid@bidsync.com Website: http://www.bidsync.com #12;3 State Contracting and Procurement Registration System (SCPRS) Rev. 4

409

Sustainability Cal State Fullerton  

E-Print Network [OSTI]

Sustainability at Cal State Fullerton A Report from the Sustainability Initiative Study Group October 28, 2008 #12;Sustainability at Cal State Fullerton A Report from the Sustainability Initiative Safety Sally Yassine Contracts & Procurement #12;Sustainability at Cal State Fullerton A Report from

de Lijser, Peter

410

A quantum algorithm to efficiently sample the work distribution and to estimate the free energy of quantum systems  

E-Print Network [OSTI]

We present a new method to measure work and to efficiently sample its probability distribution with fixed precision. The method can be used to estimate free energies on a quantum computer. It is based on three facts: (i) The probability to detect work $w$ in the state $\\rho$ is $P(w)={\\rm tr}[\\rho \\,W(w)]$, where $W(w)$ are positive operators satisfying $\\int dw \\,W(w)=I$. As $W(w)$ define a POVM (positive operator valued measure), work measurement always reduces to a projective measurement performed at a single time on an enlarged system. (ii) Work can be estimated using a variant of the "phase estimation algorithm" which is such that work $w$ is detected as the outcome of the single time measurement with probability $P(w)$. (iii) The efficient sampling of $P(w)$ can be combined with fluctuation theorems to estimate differences between the free energy of quantum states.

Augusto J. Roncaglia; Federico Cerisola; Juan Pablo Paz

2014-09-12T23:59:59.000Z

411

Marker-less Human Motion Estimation using Articulated Deformable Model  

E-Print Network [OSTI]

Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and backtrack re-estimation algorithm enable accurate estimation. The power to track challenging whole body

Tokyo, University of

412

Online parameter estimation applied to mixed conduction/radiation  

E-Print Network [OSTI]

) is the most widely used parameter estimation algorithm for nonlinear models. The unscented Kalman filter (UKF) is a new and more accurate technique for parameter estimation. These parameter estimation techniques have been evaluated with respect to data from...

Shah, Tejas Jagdish

2005-08-29T23:59:59.000Z

413

Uncertainty Quantification and Calibration in Well Construction Cost Estimates  

E-Print Network [OSTI]

or to individual cost components. Application of the methodology to estimation of well construction costs for horizontal wells in a shale gas play resulted in well cost estimates that were well calibrated probabilistically. Overall, average estimated...

Valdes Machado, Alejandro

2013-08-05T23:59:59.000Z

414

A. Appendix: Cost Estimate for the Facility  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Appendix: Cost Estimate for the Facility Appendix: Cost Estimate for the Facility Determining the cost of a facility as complex as the neutrino source presented here is a very difficult task within the short time period of six months. Three factors contribute to the uncertainty significantly: 1. The number of subsystems in the facility, which are described throughout the report, is comparatively large. All of the subsystems contribute a considerable amount of complexity and cost that have to be addressed by specific expertise in order to find a technical solution and a reasonable cost estimate. The variety of technologies is large and many of them have to be pushed to the edge or beyond and therefore has to be addressed with an appropriate R&D program. Cost savings from mass production will not be

415

Estimating Renewable Energy Costs | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Estimating Renewable Energy Costs Estimating Renewable Energy Costs Estimating Renewable Energy Costs October 16, 2013 - 4:40pm Addthis Some renewable energy measures, such as daylighting, passive solar heating, and cooling load avoidance, do not add much to the cost of a building. However, renewable energy technologies typically require large, additional capital investments with savings accruing over the project's life. It is crucial that these systems are considered early on in the budgeting process. Early budget requests need to include a set of technologies that could be used to meet the project's design requirements and their associated implementation costs. The design team may respond with a different set of feasible technologies, but it is wise to have an existing placeholder in the budget. Federal agencies can continue to update the budget as decisions

416

Component external leakage and rupture frequency estimates  

SciTech Connect (OSTI)

In order to perform detailed internal flooding risk analyses of nuclear power plants, external leakage and rupture frequencies are needed for various types of components - piping, valves, pumps, flanges, and others. However, there appears to be no up-to-date, comprehensive source for such frequency estimates. This report attempts to fill that void. Based on a comprehensive search of Licensee Event Reports (LERs) contained in Nuclear Power Experience (NPE), and estimates of component populations and exposure times, component external leakage and rupture frequencies were generated. The remainder of this report covers the specifies of the NPE search for external leakage and rupture events, analysis of the data, a comparison with frequency estimates from other sources, and a discussion of the results.

Eide, S.A.; Khericha, S.T.; Calley, M.B.; Johnson, D.A.; Marteeny, M.L.

1991-11-01T23:59:59.000Z

417

Augmenting Satellite Precipitation Estimation with Lightning Information  

SciTech Connect (OSTI)

We have used lightning information to augment the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network - Cloud Classification System (PERSIANN-CCS). Co-located lightning data are used to segregate cloud patches, segmented from GOES-12 infrared data, into either electrified (EL) or non-electrified (NEL) patches. A set of features is extracted separately for the EL and NEL cloud patches. The features for the EL cloud patches include new features based on the lightning information. The cloud patches are classified and clustered using self-organizing maps (SOM). Then brightness temperature and rain rate (T-R) relationships are derived for the different clusters. Rain rates are estimated for the cloud patches based on their representative T-R relationship. The Equitable Threat Score (ETS) for daily precipitation estimates is improved by almost 12% for the winter season. In the summer, no significant improvements in ETS are noted.

Mahrooghy, Majid [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Younan, Nicolas H. [Mississippi State University (MSU); Petersen, Walter A. [NASA Marshall Space Flight Center, Huntsville, AL; Hsu, Kuo-Lin [University of California, Irvine; Behrangi, Ali [Jet Propulsion Laboratory, Pasadena, CA; Aanstoos, James [Mississippi State University (MSU)

2013-01-01T23:59:59.000Z

418

Estimating exposure of terrestrial wildlife to contaminants  

SciTech Connect (OSTI)

This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.

Sample, B.E.; Suter, G.W. II

1994-09-01T23:59:59.000Z

419

Solar Radiation Estimated Through Mesoscale Atmospheric Modeling over Northeast Brazil  

Science Journals Connector (OSTI)

The use of renewable energy sources like solar wind and biomass is rapidly increasing in recent years with solar radiation as a particularly abundant energy source over Northeast Brazil. A proper quantitative knowledge of the incoming solar radiation is of great importance for energy planning in Brazil serving as basis for developing future projects of photovoltaic power plants and solar energy exploitation. This work presents a methodology for mapping the incoming solar radiation at ground level for Northeast Brazil using a mesoscale atmospheric model (Regional Atmospheric Modeling System—RAMS) calibrated and validated using data from the network of automatic surface stations from the State Foundation for Meteorology and Water Resources from Ceará (Fundação Cearense de Meteorologia e Recursos Hídricos? FUNCEME). The results showed that the model exhibits systematic errors overestimating surface radiation but that after the proper statistical corrections using a relationship between the model?predicted cloud fraction the ground?level observed solar radiation and the incoming solar radiation estimated at the top of the atmosphere a correlation of 0.92 with a confidence interval of 13.5? W / m 2 is found for monthly data. Using this methodology we found an estimate for annual average incoming solar radiation over Ceará of 215? W / m 2 (maximum in October: 260? W / m 2 ).

Otacilio Leandro de Menezes Neto; Alexandre Araújo Costa; Fernando Pinto Ramalho; Paulo Henrique Santiago de Maria

2009-01-01T23:59:59.000Z

420

Performance estimates for personnel access control systems  

SciTech Connect (OSTI)

Current performance estimates for personnel access control systems use estimates of Type I and Type II verification errors. A system performance equation which addresses normal operation, the insider, and outside adversary attack is developed. Examination of this equation reveals the inadequacy of classical Type I and II error evaluations which require detailed knowledge of the adversary threat scenario for each specific installation. Consequently, new performance measures which are consistent with the performance equation and independent of the threat are developed as an aid in selecting personnel access control systems.

Bradley, R. G.

1980-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Online Sensor Calibration Monitoring Uncertainty Estimation  

SciTech Connect (OSTI)

Empirical modeling techniques have been applied to online process monitoring to detect equipment and instrumentation degradations. However, few applications provide prediction uncertainty estimates, which can provide a measure of confidence in decisions. This paper presents the development of analytical prediction interval estimation methods for three common nonlinear empirical modeling strategies: artificial neural networks, neural network partial least squares, and local polynomial regression. The techniques are applied to nuclear power plant operational data for sensor calibration monitoring, and the prediction intervals are verified via bootstrap simulation studies.

Hines, J. Wesley; Rasmussen, Brandon [University of Tennessee (United States)

2005-09-15T23:59:59.000Z

422

Part cost estimation at early design phase  

Science Journals Connector (OSTI)

Abstract Although 70% of part cost is determined during the early design stage, designers rarely accurately estimate the costs of their designs. Based on extensive literature review, in-depth industrial survey and close collaboration with multiple manufacturers, forty factors were identified as governing part cost and ranked according to cost impact. Based on parameter ranking and availability at the early stages of design, a cost estimator for designers is proposed. As the design progresses and more parameters become available, a more accurate cost model is derived and proposed to manufacturers. Results are analyzed and compared to actual manufacturing costing demonstrating good fit.

Gila Molcho; Asher Cristal; Moshe Shpitalni

2014-01-01T23:59:59.000Z

423

Online Vehicle Detection For Estimating Traffic Status  

E-Print Network [OSTI]

We propose a traffic congestion estimation system based on unsupervised on-line learning algorithm. The system does not rely on background extraction or motion detection. It extracts local features inside detection regions of variable size which are drawn on lanes in advance. The extracted features are then clustered into two classes using K-means and Gaussian Mixture Models(GMM). A Bayes classifier is used to detect vehicles according to the previous cluster information which keeps updated whenever system is running by on-line EM algorithm. Experimental result shows that our system can be adapted to various traffic scenes for estimating traffic status.

Lai, Ranch Y Q

2011-01-01T23:59:59.000Z

424

NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet)  

SciTech Connect (OSTI)

The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques to triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009.

Not Available

2011-07-01T23:59:59.000Z

425

PDE Estimation Techniques for Advanced Battery Management Systems -Part I: SOC Estimation  

E-Print Network [OSTI]

- cles and renewable energy resources is battery energy storage. Advanced battery systems representPDE Estimation Techniques for Advanced Battery Management Systems - Part I: SOC Estimation S. J and renewable energy research, including advanced batteries, under the American Recovery and Rein- vestment Act

Krstic, Miroslav

426

Estimating Variance under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation  

E-Print Network [OSTI]

. In practice, these values come either from measurements or from expert estimates. In both case, we get only for these characteristics. It is desirable to estimate the accuracy of these approximations. Case of measurement uncertainty. Measurements are never 100% accurate. As a result, the result x of the measurement is, in general, different

Kreinovich, Vladik

427

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large Wildfires  

E-Print Network [OSTI]

Estimating Biomass Burnt and CarbonEstimating Biomass Burnt and Carbon Emissions from Large: Global Biomass Burning & Carbon Emissions Standard Emissions Inventories: Burned Area & GFED recently daily. Fire occurrenceoccurrence Roy et al.Roy et al. Carbon emissions (C) = burned area . fuel

428

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...  

Broader source: Energy.gov (indexed) [DOE]

Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel...

429

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE ...  

Broader source: Energy.gov (indexed) [DOE]

INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating Procedures INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating...

430

How to Estimate the Economic Impacts from Renewable Energy |...  

Energy Savers [EERE]

How to Estimate the Economic Impacts from Renewable Energy How to Estimate the Economic Impacts from Renewable Energy U.S. Department of Energy Technical Assistance Project (TAP)...

431

Estimate Greenhouse Gas Emissions by Building Type | Department...  

Broader source: Energy.gov (indexed) [DOE]

Estimate Greenhouse Gas Emissions by Building Type Estimate Greenhouse Gas Emissions by Building Type YOU ARE HERE Step 2 Starting with the programs contributing the greatest...

432

Parametric estimating for early electric substation construction cost.  

E-Print Network [OSTI]

??Developing accurate construction estimates is critical for electric utilities to make reliable financial plans for their future. Parametric estimating is just one of several techniques… (more)

Wall, Darden Lee

2010-01-01T23:59:59.000Z

433

The Greenhouse Gas Protocol Initiative: Measurement and Estimation...  

Open Energy Info (EERE)

Estimation of Uncertainty of GHG Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Measurement and Estimation of...

434

Louisiana - North Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Louisiana - North Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

435

Texas - RRC District 10 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 10 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

436

U.S. Federal Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) U.S. Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

437

Nebraska Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Nebraska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

438

Texas - RRC District 7B Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7B Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

439

Florida Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Florida Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

440

Texas - RRC District 6 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 6 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

Note: This page contains sample records for the topic "70-2011 estimates state" 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

Alabama Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Alabama Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

442

Louisiana - South Onshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Louisiana - South Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

443

Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

444

New Mexico - West Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico - West Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

445

Utah Crude Oil + Lease Condensate Estimated Production from Reserves...  

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

Estimated Production from Reserves (Million Barrels) Utah Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

446

Texas - RRC District 7C Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 7C Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

447

Texas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Texas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

448

Wyoming Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Wyoming Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

449

Indiana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Indiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

450

Arkansas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Arkansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

451

Ohio Crude Oil + Lease Condensate Estimated Production from Reserves...  

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

Estimated Production from Reserves (Million Barrels) Ohio Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

452

Kansas Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Kansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

453

Alaska Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Alaska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

454

New Mexico - East Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico - East Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

455

Colorado Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Colorado Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

456

California Federal Offshore Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) California Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0...

457

Oklahoma Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Oklahoma Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

458

Louisiana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Louisiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

459

Texas - RRC District 8A Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8A Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

460

Texas - RRC District 9 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 9 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

Note: This page contains sample records for the topic "70-2011 estimates state" 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.


461

Michigan Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Michigan Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

462

New Mexico Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) New Mexico Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

463

Montana Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Montana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

464

Illinois Crude Oil + Lease Condensate Estimated Production from...  

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

Estimated Production from Reserves (Million Barrels) Illinois Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

465

Texas - RRC District 8 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 8 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

466

North Dakota Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) North Dakota Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

467

Texas - RRC District 1 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 1 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

468

Texas - RRC District 5 Crude Oil + Lease Condensate Estimated...  

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

Estimated Production from Reserves (Million Barrels) Texas - RRC District 5 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1...

469

West Virginia Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) West Virginia Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

470

Estimating Coke and Pepsi's Price and Advertising Strategies  

E-Print Network [OSTI]

Strategy Distributions for Coke (First Quarter 1977) a)Paper No. 789 ESTIMATING COKE AND PEPSI'S PRICE ADVERTISINGEconomics July, 1998 Estimating Coke and Pepsi’s Price and

Golan, Amos; Karp, Larry S.; Perloff, Jeffrey M.

1998-01-01T23:59:59.000Z

471

Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping...  

Broader source: Energy.gov (indexed) [DOE]

Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22,...

472

Estimating the Value of Electricity Storage Resources in Electricity...  

Broader source: Energy.gov (indexed) [DOE]

Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The...

473

A Review of Geothermal Resource Estimation Methodology | Open...  

Open Energy Info (EERE)

to library Conference Paper: A Review of Geothermal Resource Estimation Methodology Abstract The reliability of resource estimation methodology has become increasingly...

474

Solid-State Lighting: Solid-State Lighting  

Broader source: Energy.gov (indexed) [DOE]

Solid-State Lighting Search Solid-State Lighting Search Search Help Solid-State Lighting HOME ABOUT THE PROGRAM R&D PROJECTS MARKET-BASED PROGRAMS SSL BASICS INFORMATION RESOURCES FINANCIAL OPPORTUNITIES EERE » Building Technologies Office » Solid-State Lighting Printable Version Share this resource Send a link to Solid-State Lighting: Solid-State Lighting to someone by E-mail Share Solid-State Lighting: Solid-State Lighting on Facebook Tweet about Solid-State Lighting: Solid-State Lighting on Twitter Bookmark Solid-State Lighting: Solid-State Lighting on Google Bookmark Solid-State Lighting: Solid-State Lighting on Delicious Rank Solid-State Lighting: Solid-State Lighting on Digg Find More places to share Solid-State Lighting: Solid-State Lighting on AddThis.com... Pause/Resume Photo of a large room with people standing around poster boards.

475

Title, Location, Document Number Estimated Cost Description  

Broader source: Energy.gov (indexed) [DOE]

5/9/2011 5/9/2011 Transmittal to State: 2/3/2012 EA Approval: 5/1/2012 FONSI: 5/1/2012 Determination Date: 4/15/2010 Transmittal to State: N/A EA Approval: N/A FONSI: N/A EA Determination Date: 9/1/2009 Transmittal to State: 12/10/2010 EA Approval: FONSI: EA Determination Date: 5/15/2010 Transmittal to State: EA Approval: FONSI: Determination Date: 7/28/2009 Transmittal to State: EA Approval: FONSI: EA Determination Date: 12/20/2010 Transmittal to State: EA Approval: FONSI: Determination Date: 12/17/2010 Transmittal to State: N/A EA Approval: N/A FONSI: N/A EA Determination Date: Transmittal to State: EA Approval: FONSI: NewPage Proposed Wood Biomass-to-Liquid Fule Biorefinery, Wisconsin Rapids, Wisconsin (DOE/EA-1811) 100,000 This EA is on hold. Cloud County Community College: Wind Energy Project, Kansas (DOE/EA-1852)

476

Biogas Potential in the United States (Fact Sheet)  

SciTech Connect (OSTI)

Biogas has received increased attention as an alternative energy source in the United States. The factsheet provides information about the biogas (methane) potential from various sources in the country (by county and state) and estimates the power generation and transportation fuels production (renewable natural gas) potential from these biogas sources. It provides valuable information to the industry, academia and policy makers in support of their future decisions.

Not Available

2013-10-01T23:59:59.000Z

477

State Energy Data System (SEDS) Complete Dataset through 2009 | OpenEI  

Open Energy Info (EERE)

Energy Data System (SEDS) Complete Dataset through 2009 Energy Data System (SEDS) Complete Dataset through 2009 Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. The multi-dimensional nature of this EIA dataset allows users to make comparisons across States, energy sources, sectors, and over time. Related Links Link to state SEDS SEDS documentation Complete SEDS data tables and files

478

Climate change impacts on freshwater recreational fishing in the United States  

E-Print Network [OSTI]

We estimated the biological and economic impacts of climate change on freshwater fisheries in the United States (U.S.). Changes in stream temperatures, flows, and the spatial extent of suitable thermal habitats for fish ...

Jones, Russell

479

Recent Developments in Censored, Non-Markov Multi-State Models  

Science Journals Connector (OSTI)

Nonparametric estimation of transition probabilities for a censored multi-state model is traditionally performed under a Markov assumption. However, this assumption may (and will) fail in some applications, le...

Jacobo de Uña-Álvarez

2010-01-01T23:59:59.000Z

480

Terrestrial Carbon Sinks for the United States Predicted from MODIS Satellite Data and Ecosystem Modeling  

Science Journals Connector (OSTI)

A simulation model based on satellite observations of monthly vegetation cover from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to estimate monthly carbon fluxes in terrestrial ecosystems of the conterminous United States ...

Christopher Potter; Steven Klooster; Alfredo Huete; Vanessa Genovese

2007-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "70-2011 estimates state" 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.


481

Real time monitoring of multiple wells flowing under pseudosteady state condition by using Kalman filtering  

E-Print Network [OSTI]

This work develops a method for the real time monitoring of well performance by using Kalman filtering. A system of two or more wells draining the same reservoir under pseudo steady state condition is monitored simultaneously to estimate both...

Jacob, Suresh

2012-06-07T23:59:59.000Z

482

Evaluation and improvement of the sPC-SAFT equation of state for complex mixtures.  

E-Print Network [OSTI]

??ENGLISH ABSTRACT: Efficient process design commonly relies on equation-of-state (EOS) models to provide reliable estimates of thermodynamic properties. The accuracy of EOS models, in turn,… (more)

De Villiers, Adriaan Jacobus

2011-01-01T23:59:59.000Z

483

State and Local Code Implementation: State Energy Officials ...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

State Energy Officials - 2014 BTO Peer Review State and Local Code Implementation: State Energy Officials - 2014 BTO Peer Review Presenter: Chris Wagner, National Association of...

484

Property:EstimatedTime | Open Energy Information  

Open Energy Info (EERE)

EstimatedTime EstimatedTime Jump to: navigation, search Property Name EstimatedTime Property Type Quantity Description An estimate of a particular chronological span, uses the Type:Epoch. Use this type to enumerate a length of time. The default unit is the year. Acceptable units (and their conversions) are: 8766 hours,hour,h,H,Hour,Hours,HOUR,HOURS 365.25 days,day,d,Day,Days,D,DAY,DAYS 52.17857 weeks,week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Subproperties This property has the following 35 subproperties: G GRR/Elements/14-CA-b.1 - NPDES Permit Application GRR/Elements/14-CA-b.12 - Were all EPA objections resolved GRR/Elements/14-CA-b.13 - NPDES Permit issued GRR/Elements/14-CA-b.3 - Is the application complete for the Regional Water Quality Control Board

485

Guidelines for Estimating Unmetered Landscaping Water Use  

SciTech Connect (OSTI)

The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy “one-stop-shop” for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.

McMordie Stoughton, Kate

2010-07-28T23:59:59.000Z

486

ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS  

E-Print Network [OSTI]

, as provided in the 2013 California Energy Efficiency Potential and Goals Study (2013 Potential Study 2013.1 The 2013 Potential Study estimated energy efficiency savings that could be realized through G. Brown Jr., Governor California Energy Commission DRAFT STAFF REPORT #12;CALIFORNIA ENERGY

487

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network [OSTI]

Retrofit Energy Savings Estimation Model Reference Manual #12;#12;Retrofit Energy Savings commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does from the Department of Energy. Any conclusions or opinions expressed in this manual represent solely

488

Machine Learning ! ! ! ! ! Srihari Parameter Estimation for  

E-Print Network [OSTI]

· Bayesian Approach ­Thumbtack vs Coin Toss · Uniform Prior vs Beta Prior ­Multinomial · Dirichlet Prior 2 · Statistical estimation theory deals with Confidence Intervals ­E.g., in election polls 61 + 2 percent plan

489

Capacitary estimates and the local behavior of  

E-Print Network [OSTI]

... in virtue of (3.11), (3.12) the estimate (3.6) continues to hold. Namely, for every U R n there exist. C,R0 >0 such that. C Q(x)jB(x,r)j jB(x, r)j C 1 QjB(x,r)j,. (3.13).

1996-10-25T23:59:59.000Z

490

PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING  

E-Print Network [OSTI]

on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely usedPARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade in the model, the numerical discretization used, and the solution algorithms employed. Parameter identification

Ewing, Richard E.

491

Estimating density of Florida Key deer  

E-Print Network [OSTI]

for this species since 1968; however, a need to evaluate the precision of existing and alternative survey methods (i.e., road counts, mark-recapture, infrared-triggered cameras [ITC]) was desired by USFWS. I evaluated density estimates from unbaited ITCs and road...

Roberts, Clay Walton

2006-08-16T23:59:59.000Z

492

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING  

E-Print Network [OSTI]

ESTIMATING COMPLEMENTARITY BETWEEN EDUCATION AND TRAINING Christian BELZIL Jørgen HANSEN Nicolai BETWEEN EDUCATION AND TRAINING* Christian BELZIL1 Jørgen HANSEN2 Nicolai KRISTENSEN3 November 2008 Cahier-schooling training that explicitly allows for possible complementarity between initial schooling levels and returns

Paris-Sud XI, Université de

493

Background estimation using a robust Bayesian analysis  

Science Journals Connector (OSTI)

A novel method for the estimation of the background in a powder diffraction pattern has been developed using a robust Bayesian analysis. The underlying probability theory is discussed in terms of going beyond the Gaussian approximation normally associated with counting statistics and least-squares analysis, and various examples are presented that illustrate the general applicability of the approach.

David, W.I.F.

2001-05-22T23:59:59.000Z

494

Estimating nanoparticle size from diffraction measurements  

Science Journals Connector (OSTI)

A Fourier transform of a Debye-Scherrer diffraction pattern can be used to estimate the characteristic size of nanoparticle samples. This method is insensitive to nanoparticle structure and therefore preferable to the Scherrer formula (which is unreliable because it assumes an underlying size-limited perfect crystal structure).

Hall, B.D.

2000-12-01T23:59:59.000Z

495

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS  

E-Print Network [OSTI]

SEGMENTATION INDEPENDENT ESTIMATES OF TURBULENCE PARAMETERS G. C. Papanicolaoua, K. Solnab and D, University of Utah, Salt Lake City, UT 84112 cPhillips Laboratory, Kirtland AFB, NM 87117 ABSTRACT We present of the detail coe cients at scale j. The spectrum can therefore be interpreted as representing the energy

Papanicolaou, George C.

496

Research Summary Estimating Woodfuel Resource Cost Curves  

E-Print Network [OSTI]

and plant based biomass, with the largest proportion (39%) from domestic wood combustion. Objectives utilise an additional 2 million `green' tonnes of wood biomass a year - equivalent to 1 million oven dry, the estimated amount of woodfuel biomass most immediately available from UMW is 12% of the FCE target

497

Estimating the Burden of Neurocysticercosis in Mexico  

E-Print Network [OSTI]

region (p< 0.05). The mean total number of DALYs lost due to NCC in Mexico was estimated to be 99,866 (95 percent CR: 43,187 –189,182), with a mean of 0.95 (95 percent CR: 0.4–1.8) DALYs lost per thousand persons per year....

Bhattarai, Rachana

2012-10-19T23:59:59.000Z

498

Preprint # 1010 Bayesian Methods for Estimating the  

E-Print Network [OSTI]

a bottom-up approach for approximating the pos- terior distribution of reliability of series and parallelPreprint # 10­10 Bayesian Methods for Estimating the Reliability of Complex Systems Using Ames, Iowa, 50011 August 8, 2010 ABSTRACT We propose a Bayesian approach for assessing the reliability

499

State and Disturbance Estimation for Robust Control of Fast Flexible Rack Feeders  

Science Journals Connector (OSTI)

Rack feeders as automated conveying systems for high ... experimental set-up of such a high bay rack feeder and the model-based design of ... and feedback control structure is presented. The rack feeder is modele...

Harald Aschemann; Dominik Schindele…

2011-01-01T23:59:59.000Z

500

Error and uncertainty in estimates of Reynolds stress using ADCP in an energetic ocean state  

E-Print Network [OSTI]

(cont.) To that end, the space-time correlations of the error, turbulence, and wave processes are developed and then utilized to find the extent to which the environmental and internal processing parameters contribute to ...

Rapo, Mark Andrew.

2006-01-01T23:59:59.000Z