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Note: This page contains sample records for the topic "average hourly charts" 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.


1

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (  

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

Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" Average Data for Each Choke Setting (before 24-May 2010 06:00), 6-hour average (after 24-May 2010 06:00):" ,,"Choke","Average","Average","Fluid","Methanol","Water","Oil","Gas","Hyd. Eq.","Gas" ,"Choke","Setting","Upstream","Upstream","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery","Recovery" "Date and Time","Setting","Duration","Pressure","Temp.","Rate","Rate","Rate","Rate","Rate","Rate","Portion" "dd-mmm-yy","(64ths)","(hours)","(psia)","(degF)","(bfpd)","(bfpd)","(bwpd)","(bopd)","(mmcfpd)","(boepd)","(%)"

2

Chart  

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

The Standard Model of Fundamental Particles and Interactions Chart, copyright 1999 by the Contemporary Physics Education Project. We grant permission for...

3

Chart  

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

Bild mit Inhaltsrahmen The Standard Model of Fundamental Particles and Interactions Chart, copyright 1999 by the Contemporary Physics Education Project. Lehrern und Studenten ist...

4

Derivation of 24-Hour Average SO2, Background for the Update 1 Report |  

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

Derivation of 24-Hour Average SO2, Background for the Update 1 Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting documentation for "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Unit 1 Emissions in a Cycling Mode" this memo documents the fact that the observed 24-hour SO2 background concentrations during periods when meteorological conditions produce the highest impacts from Unit 1. Derivation of 24-Hour Average SO2, Background for the Update 1 Report More Documents & Publications Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant"

5

Hopper Job Size Charts  

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

charts shows the fraction of hours used on Hopper in each of 5 job-core-size bins. 2012 Usage by Job Size Chart 2011 . This chart shows the fraction of hours used on Hopper by jobs...

6

Meteorological Patterns Associated with Maximum 3-Hour Average Concentrations Predicted by the CRSTER Model for a Tall Stack Source  

Science Conference Proceedings (OSTI)

Regional meteorological patterns associated with maximum 3-hour average concentrations predicted by the U.S. EPA CRSTER model for emissions from a tall stack were examined for a limited sample. Causes of predicted peaks were the movements of weak ...

Paul N. Derezotes

1984-11-01T23:59:59.000Z

7

Handbook of solar energy data for south-facing surfaces in the United States. Volume II. Average hourly and total daily insolation data for 235 localities (Alaska - Montana)  

DOE Green Energy (OSTI)

Average hourly and daily total insolaion estimates are given for 235 US sites at a variety of array tilt angles. (MHR)

Smith, J.H.

1980-01-15T23:59:59.000Z

8

NERSC Edison Hours Used Report  

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

Edison Hours Used Edison Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hoursday) 10142013 1.852 61.8 10132013...

9

Chart Body  

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

or QCD) and the unified theory of weak and electromagnetic interactions (electroweak). Gravity is included on this chart because it is one of the fundamental interactions even...

10

Organization Chart  

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

and Mission Organization Staff - Organization Chart About Us Bob Cottingham, 865-241-0554 Computational Biology and Bioinformatics Meghan Drake 865-241-8288 Michael...

11

Chart Body  

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

Vergrsserte Ausschnitte ---> click) The Standard Model of Fundamental Particles and Interactions Chart, copyright 1999 by the Contemporary Physics Education Project. Lehrern und...

12

Handbook of solar energy data for south-facing surfaces in the United States. Volume III. Average hourly and total daily insolation data for 235 localities (North Carolina - Wyoming)  

DOE Green Energy (OSTI)

Average hourly and daily total insolation estimates are given for 235 US sites at a variety of array tilt angles. (MHR)

Smith, J.H.

1980-01-15T23:59:59.000Z

13

Notices CHART  

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

36 Federal Register Vol. 78, No. 168 Thursday, August 29, 2013 Notices CHART 5-FIXED-RATE FEDERAL SUBSIDIZED AND UNSUBSIDIZED STAFFORD AND PLUS LOANS-Continued Loan type...

14

Comparison of Average Heart Rates Determined by Surface ECG and 24-Hour Ambulatory ECG (Holter) in Dogs with Spontaneous Atrial Fibrillation  

E-Print Network (OSTI)

The purpose of this study was to compare the heart rates of dogs presenting with spontaneous atrial fibrillation (AF) by a surface electrocardiogram (ECG) and a 24 hour ambulatory ECG (Holter recording) in order to determine if there was a difference between these two diagnostic tests. Seven dogs with clinically stable, spontaneous AF were evaluated with a 6 lead surface ECG (MAC 5000, GE® Milwaukee) and a Holter monitor (Monitor device: LifecardCE Delmar Reynolds Medical, Holter analysis:Aria Holter software). Statistical analyses, including t-tests and linear regression models, were performed using Stata® data-analysis and statistical software. When heart rates (bpm) determined by both diagnostic testing methods were compared individually and among all of the dogs, no statistically significant differences were found. Complete data for analysis were available in 4 of the 7 dogs. This study demonstrates that despite the potential superiority of Holter monitoring relative to the surface ECG for the diagnosis of cardiac arrhythmias, average heart rates were not statistically different in these 4 dogs with controlled AF. Therefore, the average HR determined by surface ECG in the hospital may be as reliable as the average HR determined by Holter monitoring in dogs with well controlled spontaneous AF.

Perea Lugo, Adriana

2010-12-01T23:59:59.000Z

15

Org Chart  

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

Markovich Markovich Group Leader Binetti Administrative Assistant Roberts TECHS Safety Interlocks Group Organization Chart 1/7/2013 NEW RD2 BLEPS PSS (B) Gibson BLEPS Dwgs Forth Sawatski Engineer Primary Responsibility Back-Up Engineer Sector Responsibility LEGEND Gibson G1 Dwgs QA BLEPS STA Fagan Specs, VTS and ATS Bombard Banks RSSE BLEPS Procedures Friedman Sectors 2,6,14,15,1 8,20,27 Nguyen Nguyen PSS G1(B) Lasers Fagan Sectors 2,6,14,15, 18,20,27 Banks Boron PSS G1 (A) Friedman Sectors 4,12,13,16, 24,25,33 Budz McNamara Beamline New Builds/ Modification FEEPS Belcher Sectors 7,10,11,19, 21,29,30 Lenckus Budz Tech Coord BLEPS Operations Maintenance Banks Sectors 4,12,13,16, 24,25,33 Boron Friedman RSSE (Fixed Stops) BLEPS Banks Sectors 1,3,5,17, 23, 35 Bombard Lenckus FEEPS Boron Sectors 1,3,5,17,23, 35 Friedman Belcher ACIS (B) Special

16

Enhancing the performance of CUSUM scale chart  

Science Conference Proceedings (OSTI)

Control charts act as the most important statistical process monitoring tool, widely used for the purpose of identifying unusual variations in process parameters. Researchers have implemented different rules to increase the sensitivity of Shewhart, CUSUM ... Keywords: Average run length (ARL), CUSUM, Control chart, In-control, Markov chain, Out-of-control

Saddam Akber Abbasi; Muhammad Riaz; Arden Miller

2012-09-01T23:59:59.000Z

17

Timed Property Sequence Chart  

Science Conference Proceedings (OSTI)

Property Sequence Chart (PSC) is a novel scenario-based notation, which has been recently proposed to represent temporal properties of concurrent systems. This language balances expressive power and simplicity of use. However, the current version of ... Keywords: Property Sequence Chart, Real-time specification patterns, Timed Property Sequence Chart, Timing properties

Pengcheng Zhang; Bixin Li; Lars Grunske

2010-03-01T23:59:59.000Z

18

Designs of control charts with supplementary runs rules  

Science Conference Proceedings (OSTI)

This article studies the designs of the control charts with the supplementary runs rules (zone rules). It also investigates, compares and ranks 15 resultant control charts based on steady-state Average Run Length (ARL) that is evaluated by computer simulation. ... Keywords: Computer simulation, Control charts, Optimization design, Quality control, Runs rules

Sheng Zhang; Zhang Wu

2005-08-01T23:59:59.000Z

19

Symbolic Message Sequence Charts  

Science Conference Proceedings (OSTI)

Message sequence charts (MSCs) are a widely used visual formalism for scenario-based specifications of distributed reactive systems. In its conventional usage, an MSC captures an interaction snippet between concrete objects in the system. This ... Keywords: Message sequence charts, symbolic execution, test generation, unified modeling language (UML)

Abhik Roychoudhury; Ankit Goel; Bikram Sengupta

2012-03-01T23:59:59.000Z

20

Organizational Chart | Department of Energy  

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

Chart Organizational Chart Full-resolution version More Documents & Publications HSS Work Group Telecom (Draft Charters) FTCP Senior Technical Safety Manager (STSM) Status Report...

Note: This page contains sample records for the topic "average hourly charts" 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

Organization Chart | Argonne National Laboratory  

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

Download Organization Charts Argonne National Laboratory Computing, Environment, and Life Sciences Energy Engineering and Systems Analysis Physical Science and Engineering...

22

NNSA Service Center Chart | Department of Energy  

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

NNSA Service Center Chart NNSA Service Center Chart Office of Chief Counsel at the NNSA Service Center in Albuquerque, NM NNSA Service Center Chart More Documents & Publications...

23

Budget Chart 2009 | Department of Energy  

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

Budget Chart 2009 Budget Chart 2009 Office of Electricity Delivery and Energy Reliability Budget Information for FY 2009. Budge Chart 2009 More Documents & Publications Office of...

24

MA-60 Org chart | Department of Energy  

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

MA-60 Org chart MA-60 Org chart Updated May 6,2013 APM Org Chart v12.pptx More Documents & Publications Office of Acquisition and Project Management (APM) Organization Chart Office...

25

A video strip chart program  

SciTech Connect

A strip chart recorder has been utilized for trend analysis of the Oak Ridge National Laboratory EN tandem since 1987. At the EN, the author could not afford the nice eight channel thermal pen recorder that was used at the 25 URC. He had to suffice with two channel fiber tip or capillary pen type recorders retrieved from salvage and maintained with parts from other salvaged recorders. After cycling through several machines that eventually became completely unserviceable, a search for a new thermal recorder was begun. As much as he hates to write computer code, he decided to try his hand at getting an old data acquisition unit, that had been retrieved several years ago from salvage, to meet his needs. A BASIC language compiler was used because time was not available to learn a more advanced language. While attempting to increase acquisition and scroll speed on the 6 MHz 80286 that the code was first developed on, it became apparent that scrolling only the first small portion of the screen at high speed and then averaging that region and histogramming the average provided both the speed necessary for capturing fairly short duration events, and a trend record without use of back scrolling and disk storage routines. This turned out to be quite sufficient.

Jones, N.L. [Oak Ridge National Lab., TN (United States). Accelerator-Based Atomic Physics

1994-12-31T23:59:59.000Z

26

NERSC Carver Hours Used Report  

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

Carver Hours Carver Hours Used Carver Hours Used Hopper Usage Chart Hopper Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 01/05/2014 170.00 89.35 01/04/2014 174.38 91.65 01/03/2014 174.15 91.53 01/02/2014 179.72 94.45 01/01/2014 173.76 91.32 12/31/2013 172.25 90.53 12/30/2013 169.62 89.14 12/29/2013 164.72 86.57 12/28/2013 177.92 93.51 12/27/2013 171.61 90.19 12/26/2013 172.74 90.79 12/25/2013 172.13 90.46 12/24/2013 173.48 91.18 12/23/2013 174.92 91.93 12/22/2013 175.26 92.11 12/21/2013 173.58 91.23 12/20/2013 174.50 91.71 12/19/2013 170.02 89.36 12/18/2013 178.25 93.68 12/17/2013 176.17 92.59 12/16/2013 162.03 85.16 12/15/2013 157.09 82.56 12/14/2013 173.40 91.13 12/13/2013 185.02 97.24 12/12/2013 150.91 79.31 12/11/2013 31.67 16.64 12/10/2013 92.44 48.58

27

PI Organization Chart | Department of Energy  

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

Chart PIOrg20130208.pdf More Documents & Publications Office of Policy and International Affairs Organization Chart Office of Policy and International Affairs Organization...

28

Literature Review of Uncertainty of Analysis Methods (PV F-Chart Program), Report to the Texas Commission on Environmental Quality  

E-Print Network (OSTI)

This report reviews the reported uncertainty of the PV F-Chart analysis method by reviewing the published related accuracy of PV F-Chart analysis versus measured data, PV F-Chart predictions versus other methods, and PV F-Chart predictions versus TRNSYS simulations. This report begins with a review of the history of the PV F-Chart method, and includes an example PV F-Chart calculation. In summary, from the literature it was found that hourly PV F-Chart analysis versus measured data were shown to be within 4% of on-site measurement, PV F-Chart predictions versus TRNSYS simulations and another graphical method were also within 4% of annual values.

Haberl, J. S.; Cho, S.

2004-01-01T23:59:59.000Z

29

Chart of Nuclides from the National Nuclear Data Center (NNDC)  

DOE Data Explorer (OSTI)

The information provided by the Chart of Nuclides can be seen in tables, level schemes and an interactive chart of nuclides. (From the Chart of Nuclides Description at http://www.nndc.bnl.gov/chart/help/index.jsp?product=chart)

30

A new monitoring design for uni-variate statistical quality control charts  

Science Conference Proceedings (OSTI)

In this research, an iterative approach is employed to analyze and classify the states of uni-variate quality control systems. To do this, a measure (called the belief that process is in-control) is first defined and then an equation is developed to ... Keywords: Average run length, CUSUM chart, EWMA chart, Process monitoring, Statistical quality control

Mohammad Saber Fallah Nezhad; Seyed Taghi Akhavan Niaki

2010-03-01T23:59:59.000Z

31

RF engineering basic concepts: the Smith chart  

E-Print Network (OSTI)

The Smith chart is a very valuable and important tool that facilitates interpretation of S-parameter measurements. This paper will give a brief overview on why and more importantly on how to use the chart. Its definition as well as an introduction on how to navigate inside the chart are illustrated. Useful examples show the broad possibilities for use of the chart in a variety of applications.

Caspers, F

2011-01-01T23:59:59.000Z

32

Project Management Coordination Office Organization Chart  

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

Project Management Coordination Office Organization Chart, U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

33

MCS Division Organization Chart | Argonne National Laboratory  

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

Publications Documents MCS Division Organization Chart The Mathematics and Computer Science Division at Argonne National Laboratory mcsorgchart.pdf...

34

Widget:Motion Chart Visualizations | Open Energy Information  

Open Energy Info (EERE)

Motion Chart Visualizations Jump to: navigation, search Widget to display Google motion charts on OpenEI. Usage: Widget:Motion Chart Visualizations |configgeneralunitedstates...

35

PAMPA II Advanced Charting System  

E-Print Network (OSTI)

Project Management is the primary key to successful software development. In 1995 Caper Jones stated that the failure or cancellation rate of large software systems was over 20% in his article on patterns of large software systems. More than two thirds of the projects fail due to improper management of skills, activities, and personnel. One main reason is that software is not a tangible entity and is hard to visualize and hence to monitor. A manager has to be skilled in different CASE tools and technologies to track and manage a software development process successfully. The volume of results produced by these CASE tools is so huge that a high level manager cannot look into all the details. He has to get a high level picture of the project, to know where the project is heading, and if needed, then look into the finer level details by drilling down to locate and correct problems. The objective of this thesis is to build an Advanced Charting System (ACS), which would act as a companion to PAMPA 2 (Project Attribute Monitoring and Prediction Associate) and help a manager visualize the state of a software project over a standard World Wide Web browser. The PAMPA 2 ACS will be responsible for visualizing and tracking of resources, tasks, schedules and milestones of a software project described in the plan. PAMPA 2 ACS will have the ability to depict the status of the project through a variety of graphs and charts. PAMPA 2 ACS implements a novel charting technique called as DOT Chart to track the processes and activities of a software project. PAMPA 2 ACS provides a multilevel view of the project status. PAMPA 2 ACS will be able to track any arbitrary plan starting from a collapsed / concise view of a whole project. This can be further drilled down to the lowest level of detail. The status can be viewed at the project version level, plan and workbreakdown levels, process, sub process, and activity level. Among all the process models, the DOT charts can be applied effectively to spiral process model where each spiral represents a project version.

Inbarajan, Prabhu Anand

2003-12-01T23:59:59.000Z

36

NERSC Edison Phase I Hours Used Report  

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

Edison Phase I Hours Used Edison Phase I Hours Used Edison Phase I Hours Used Edison Usage Chart Edison Usage Chart Date Hours Used (in millions) Percent of Maximum Possible (24 hours/day) 06/23/2013 0.226 88.6 06/22/2013 0.239 93.9 06/21/2013 0.248 97.1 06/20/2013 0.240 94.0 06/19/2013 0.233 91.3 06/18/2013 0.245 96.0 06/17/2013 0.251 98.4 06/16/2013 0.243 95.3 06/15/2013 0.245 95.9 06/14/2013 0.246 96.5 06/13/2013 0.240 94.1 06/12/2013 0.128 50.4 06/11/2013 0.215 84.5 06/10/2013 0.225 88.4 06/09/2013 0.228 89.6 06/08/2013 0.225 88.3 06/07/2013 0.121 47.5 06/06/2013 0.223 87.4 06/05/2013 0.250 98.0 06/04/2013 0.234 91.6 06/03/2013 0.218 85.5 06/02/2013 0.246 96.4 06/01/2013 0.230 90.0 05/31/2013 0.215 84.5 05/30/2013 0.212 83.1 05/29/2013 0.223 87.3 05/28/2013 0.237 93.0 05/27/2013 0.226 88.5 05/26/2013 0.229 89.9

37

HC Organization Chart | Department of Energy  

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

Responsible Contacts Rauland A. Sharp MANAGEMENT ANALYST E-mail rauland.sharp@hq.doe.gov Phone 202-586-7531 More Documents & Publications OCIO Organization Chart...

38

Index to Nuclear Science Wall Chart  

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

The Nucleus Chart of the Nuclides Radioactivity Expansion of the Universe Phases of Nuclear Matter Unstable Nuclei Nuclear Energy Applications of Nuclear Science Chapter 2 The...

39

Chemical Sciences Division: Introduction: Organization Chart  

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

Chart Ultrafast X-Ray Science Laboratory ALS-MES Beamline Actinde Science Chemical Dynamics Beamline Centers Programs Chemical Physics The Glenn T. Seaborg Center...

40

Office of the General Counsel Organization Chart  

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

The following graphic is an organization chart for the Office of the General Counsel. The office is separated into four major departmental groups:

Note: This page contains sample records for the topic "average hourly charts" 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

hourly | OpenEI  

Open Energy Info (EERE)

hourly hourly Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

42

Dose Ranges Chart - May 2010  

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

Charged particle event (Solar flare) dose on moon, no shielding Total Body Irradiation (TBI) Therapy Cancer Epidemiology 3 2 6 1 5 4 Natural background, USA average ...

43

CDM in Charts | Open Energy Information  

Open Energy Info (EERE)

CDM in Charts CDM in Charts Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CDM in Charts Agency/Company /Organization: Institute for Global Environmental Strategies Sector: Energy Topics: Implementation, Policies/deployment programs Resource Type: Publications Website: enviroscope.iges.or.jp/modules/envirolib/upload/835/attach/charts.pdf References: CDM in Charts[1] Summary "This document aims to give a comprehensive and easy-to-understand description of the clean development mechanism (CDM). It should be noted that this document does not replicate in the exact manner all the texts agreed upon in the international negotiations. Also, there are issues yet to be settled in the international negotiations regarding detailed interpretations and processes. As for the details and exact expressions in

44

Help:Motion Chart | Open Energy Information  

Open Energy Info (EERE)

Motion Chart Motion Chart Jump to: navigation, search This page is designed to help you create your very own Google Motion Chart, or Gapminder-like visualization. You'll work in Google Docs to develop the motion chart and with the OpenEI team to publish it on OpenEI. About The motion chart is a cool way to display data that changes over time. The dynamic chart allows you to quickly explore a lot of data with a fairly easy-to-use interface. The example below displays page visit and usage statistics for openei.org. Google motion chart (Gapminder): Getting Started Here is what you'll need from the start: View of a google doc with OpenEI analytics data A Google account Data (time series data with at least 2 fields) An OpenEI user account Step 1 - The Data The data to the right is a view of some OpenEI use statistics from the past

45

DOE Organization Chart - December 16, 2013 | Department of Energy  

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

DOE Organization Chart - December 16, 2013 DOE Organization Chart - December 16, 2013 The DOE Organization Chart is a diagram of the U.S. Department of Energy's structure along...

46

Optimization designs of the combined Shewhart-CUSUM control charts  

Science Conference Proceedings (OSTI)

This article presents the optimization design of the combined Shewhart chart and CUSUM chart (X@?&CUSUM chart in short) used in Statistical Process Control (SPC). While the optimization design effectively improves the overall performance of the X@?&CUSUM ...

Zhang Wu; Mei Yang; Wei Jiang; Michael B. C. Khoo

2008-12-01T23:59:59.000Z

47

DOE Organization Chart - August 7, 2013 | Department of Energy  

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

DOE Organization Chart - August 7, 2013 DOE Organization Chart - August 7, 2013 The DOE Organization Chart is a diagram of the U.S. Department of Energy's structure along with the...

48

LLNL Energy Flow Charts | Open Energy Information  

Open Energy Info (EERE)

LLNL Energy Flow Charts LLNL Energy Flow Charts Jump to: navigation, search Tool Summary Name: LLNL Energy Flow Charts Agency/Company /Organization: Lawrence Livermore National Lab Sector: Energy Focus Area: Renewable Energy Topics: Pathways analysis References: LLNL Energy Flow Charts [1] Decision makers have long recognized the importance of visualizing energy and material flows in a way that distinguishes between resources, transformations and services. Research priorities can be defined in terms of changes to the flows, and the consequences of policy or technology shifts can be traced both upstream and downstream. The usefulness of this top-down view is limited by the level of detail that can be conveyed in a single image. We use two techniques to balance information content with readability. First we employe visualization

49

After architecture : charting a new course  

E-Print Network (OSTI)

The thesis is a synthesis of technology, art, science, computation and philosophy in charting a new course for architecture. It attempts to address the questions: Can architecture model natural phenomena's or nonlinear ...

Ramachandran, Girish, 1963-

1998-01-01T23:59:59.000Z

50

Electronic tools for designing charts and graphs  

E-Print Network (OSTI)

This thesis explores the issues involved in designing an interactive chart and graph making system, especially tailored to the needs of the graphic designer. It defines a set of user interface requirements and describe the ...

Jones, Mary, M.S.V.S. Massachusetts Institute of Technology

1983-01-01T23:59:59.000Z

51

DOE Organization Chart- May 21, 2013  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

52

DOE Organization Chart- May 1, 2013  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

53

DOE Organization Chart- July 15, 2013  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

54

DOE Organization Chart - June 6, 2013  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

55

DOE Organization Chart- December 16, 2013  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

56

DOE Organization Chart - October 6, 2011  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

57

DOE Organization Chart - June 25, 2012  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

58

DOE Organization Chart- July 23, 2013  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

59

DOE Organization Chart - October 22, 2012  

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

The DOE Organization Chart is a diagram of the U.S. Department of Energy’s structure along with the relationships and relative ranks of its parts and positions/jobs.

60

Webinar - Control Charts Using PMAP Software - 2012-06-22  

Science Conference Proceedings (OSTI)

... control charts and range charts used for measurement ... Register for participation using the Weights and Measures ... you may begin to use the system. ...

2013-06-03T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" 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

Office of the Chief Financial Officer Organization Chart | Department...  

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

Contact Us CFO Organization Chart - complete More Documents & Publications Financial Management Handbook OCIO Organization Chart (printable version) Audit Report: OAS-L-04-19...

62

Office of Policy and International Affairs Organization Chart...  

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

Office of Policy and International Affairs Organization Chart PI Organizational Structure-October 26 2012-FINAL...

63

Average Commercial Price  

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

Residential Price Average Commercial Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

64

AVERAGE SHIFTED HISTOGRAM  

Science Conference Proceedings (OSTI)

... LET YPPF = XCDF LET XPPF = YCDF. Default: None Synonyms: ASH is a synonym for the AVERAGE SHIFTED HISTOGRAM command. ...

2010-12-06T23:59:59.000Z

65

Weather Theory Weather Reports, Forcasts and Charts  

E-Print Network (OSTI)

GMU Weather Theory & Weather Reports, Forcasts and Charts Copyright 10/2010 AV-ED (For Reference Only) See 14CFR & AIM #12;GROUND SCHOOL / TEST SUBJECTS Session Subject Total / Actual Ques. 1 IN TEMPERATURE AS ALTITUDE INCREASES. - FREQUENT GROUND BASED TEMP INVERSION IS PRODUCED BY TERRESTRIAL RADIATION

66

POWER AND INFLUENCE CHARTING: THE GOOGLE WAY  

Science Conference Proceedings (OSTI)

The success or failure of a project may be charted in the initiation phase. Therefore, initiation is arguably the most important phase of any project. During the initiation phase, the foundation for the project is established, including the selection of project sponsors and champions and getting their buy-in, which sets the project up for success.

Troy Hiltbrand; Sharon Berrett

2011-07-01T23:59:59.000Z

67

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)"...

68

Charting the Future of Energy Storage | Department of Energy  

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

Charting the Future of Energy Storage Charting the Future of Energy Storage August 7, 2013 - 2:53pm Addthis Watch the video above to learn how Urban Electric Power is creating a...

69

OpenEI - hourly data  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4980 en Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and diffuse) data for selected stations in Sri Lanka from...

70

Transitioning to 12-hour shifts  

Science Conference Proceedings (OSTI)

In 1989, Yankee Rowe nuclear power station successfully implemented a 12-hour shift schedule for all shiftworkers (control room personnel, auxiliary operators, and radiation protection shift technicians) with many positive effects on morale, motivation, and performance. The transition from an 8-hour to a 12-hour shift schedule was initiated, organized, and promoted by the shiftworkers themselves after they had identified numerous inadequacies in the 8-hour shift schedule. Preliminary and final implementation required several steps: (a) a survey of needs, (b) research of potential schedules, (c) cost/benefit analysis, (d) resolution of any union contract conflicts, (e) management approval, and (f) trial shift schedule periods.

Suter, P.S.; Cervassi, S.M.

1993-03-01T23:59:59.000Z

71

NERSC Franklin Hours Used Report  

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

Franklin Hours Used Franklin Hours Used Franklin Hours Used 2011 Franklin Usage in Hours 2011 Franklin Usage in Hours 2010 2010 Franklin Usage in Hours 2009 2009 Franklin Usage in Hours 2007-2008 2008 Franklin Usage in Hours 2008 Franklin Usage in Hours Date Hours Used (in thousands) Percentage of Maximum Possible (24 hours/day) 04/28/2012 0.00 0.00 04/27/2012 272.62 29.40 04/26/2012 692.81 74.71 04/25/2012 841.60 90.75 04/24/2012 53.86 5.81 04/23/2012 432.01 46.59 04/22/2012 823.23 88.77 04/21/2012 473.95 51.11 04/20/2012 173.75 18.74 04/19/2012 449.22 48.44 04/18/2012 816.23 88.02 04/17/2012 754.35 81.34 04/16/2012 648.89 69.97 04/15/2012 812.25 87.59 04/14/2012 843.46 90.95 04/13/2012 737.46 79.52 04/12/2012 711.97 76.77 04/11/2012 734.65 79.22 04/10/2012 815.65 87.95 04/09/2012 897.25 96.75

72

OpenEI:Projects/Motion Charts | Open Energy Information  

Open Energy Info (EERE)

Charts Charts Jump to: navigation, search Contents 1 Motion Chart Creation for OpenEI Admin 2 Setting up the Data and Getting Embed Code 3 Create Your OpenEI Widget 4 Finish the Widget 5 Finished Product Motion Chart Creation for OpenEI Admin If you are an OpenEI administrator and are interested in creating a motion chart widget, you've come to the right place! Setting up the Data and Getting Embed Code The basic information about organizing your data, using Google Docs and Google's motion chart, and getting the embed code (Steps 1 to 3) is available here:Help:Motion_Chart The next steps are: Create Your OpenEI Widget Now that you have your code, its time to set-up your widget: Log-in at OpenEI In the search box, type Widget:Example and replace example with the name of your widget

73

average | OpenEI  

Open Energy Info (EERE)

average average Dataset Summary Description This dataset is part of a larger internal dataset at the National Renewable Energy Laboratory (NREL) that explores various characteristics of large solar electric (both PV and CSP) facilities around the United States. This dataset focuses on the land use characteristics for solar facilities that are either under construction or currently in operation. Source Land-Use Requirements for Solar Power Plants in the United States Date Released June 25th, 2013 (7 months ago) Date Updated Unknown Keywords acres area average concentrating solar power csp Density electric hectares km2 land land requirements land use land-use mean photovoltaic photovoltaics PV solar statistics Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Master Solar Land Use Spreadsheet (xlsx, 1.5 MiB)

74

Government Buildings CHARTING YOUR JOURNEY REACHING MILESTONES  

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

ROADMAP to Sustainable ROADMAP to Sustainable Government Buildings CHARTING YOUR JOURNEY REACHING MILESTONES ADDITIONAL RESOURCES ON THE HORIZON LEED TRAINING SUSTAINABILITY GOALS PRE-PROJECT PLANNING ROADMAP INTRODUCTION EXISTING BUILDINGS NEW CONSTRUCTION PROGRAM ADMINISTRATION GREEN BUILDING PROGRAM ACKNOWLEDGEMENT The Roadmap to Sustainable Government Buildings was created through the joint efforts of the U.S. Green Building Council (USGBC) and the National Association of State Facilities Administrators (NASFA). We extend our deepest gratitude to all of our Roadmap committee members who participated in the development of this publication, for their tireless volunteer efforts and constant support of USGBC's mission. Ongoing development of the Roadmap has been made possible through the efforts of many

75

Microsoft PowerPoint - Nov 2009 PI Org Chart (web) | Department...  

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

Microsoft PowerPoint - Nov 2009 PI Org Chart (web) Microsoft PowerPoint - Nov 2009 PI Org Chart (web) PI Organization chart Microsoft PowerPoint - Nov 2009 PI Org Chart (web) More...

76

DOE Average Results  

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

DOE DOE Average Results FY 12 DOE Target FY 12 Customer Perspective: Customer Satisfaction: -Timeliness 92 88 -Quality 94 92 Effective Service Partnership: -Extent of Customer Satisfaction with the responsiveness, etc. 90 92 Internal Business Perspective: Acquisition Excellence: -Extent to which internal quality control systems are effective 90 88 Most Effective Use of Contracting Approaches to Maximize Efficiency and Cost Effectiveness: Use of Competition: -% of total $'s obligated on competitive acquisitions >$3000 (Agency Level Only) 94 85 -% of acquisition actions competed for actions > $3000 (Agency Level Only) 65 68 Performance Based Acquisition: - % PBA actions relative to total eligible new acquisition actions (applicable to new actions > $25K) 82

77

DOE Hydrogen and Fuel Cells Program: Organization Chart and Contacts  

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

Mission and Goals Organization Chart and Contacts Background Budget Timeline Program Activities Advisory Panels External Coordination U.S. Department of Energy Search help Home >...

78

Wind for Schools Portal Motion Chart | Open Energy Information  

Open Energy Info (EERE)

Login | Sign Up Search Page Edit History Facebook icon Twitter icon Wind for Schools Portal Motion Chart Jump to: navigation, search Wind for Schools Portal Home...

79

SIGWX Charts - Mid Level Significant Weather | Data.gov  

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

Ocean Research Safety States Supply Chain SIGWX Charts - Mid Level Significant Weather Safety DataTools Apps Challenges Resources Blogs Let's Talk Safety You are here...

80

SIGWX Charts - Low Level Significant Weather | Data.gov  

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

Ocean Research Safety States Supply Chain SIGWX Charts - Low Level Significant Weather Safety DataTools Apps Challenges Resources Blogs Let's Talk Safety You are here...

Note: This page contains sample records for the topic "average hourly charts" 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

SIGWX Charts - High Level Significant Weather | Data.gov  

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

Ocean Research Safety States Supply Chain SIGWX Charts - High Level Significant Weather Safety DataTools Apps Challenges Resources Blogs Let's Talk Safety You are here...

82

WEB RESOURCE: Magnesium Wrought Products Flow Chart - TMS  

Science Conference Proceedings (OSTI)

Aug 18, 2007 ... The following flow charts attempt to list important wrought magnesium products being made as extrusions, forgings, sheet and plate. In these ...

83

WEB RESOURCE: Magnesium Cast Products Flow Chart - TMS  

Science Conference Proceedings (OSTI)

Aug 18, 2007 ... The following flow charts attempt to list important cast magnesium products being made as die castings, sand and permanent mold castings ...

84

Teach Yourself in 24 Hours  

E-Print Network (OSTI)

"ations .................................................. 302 Reclaiming Memory with the kill Command .................................. 303 Getting System Load in a retrieval system, or transmitted by any means, electronic, mechanical, photo- copying, recording 1 Hour 1 Preparing to Install Linux 3 2 Installing Linux 11 3 Configuring the X Window System 31

Eckmiller, Rolf

85

Annual fuel usage charts for oil-fired boilers. [Building space heating and hot water supplies  

SciTech Connect

On the basis of laboratory-determined boiler efficiency data, one may calculate the annual fuel usage (AFU) for any oil-fired boiler, serving a structure of a given design heat load, for any specified hourly weather pattern. Further, where data are available regarding the energy recapture rates of the strucutre due to direct gain solar energy (windows), lighting, cooking, electrical appliances, metabolic processes, etc., the annual fuel usage savings due to such (re) capture are straightforwardly determinable. Employing the Brookhaven National Laboratory annual fuel usage formulation, along with efficiency data determined in the BNL Boiler Laboratory, computer-drawn annual fuel usage charts can be generated for any selected boiler for a wide range of operating conditions. For two selected boilers operating in any one of the hour-by-hour weather patterns which characterize each of six cities over a wide range of firing rates, domestic hot water consumption rates, design heat loads, and energy (re) capture rates, annual fuel usages are determined and graphically presented. Figures 1 to 98, inclusive, relate to installations for which energy recapture rates are taken to be zero. Figures 97 to 130, inclusive, apply to a range of cases for which energy recapture rates are nonzero and determinable. In all cases, simple, direct and reliable annual fuel usage values can be determined by use of charts and methods such as those illustrated.

Berlad, A.L.; Yeh, Y.J.; Salzano, F.J.; Hoppe, R.J.; Batey, J.

1978-07-01T23:59:59.000Z

86

hourly data | OpenEI  

Open Energy Info (EERE)

data data Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. Source U.S. National Renewable Energy Laboratory (NREL) Date Released May 03rd, 2005 (9 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DNI GHI hourly data NREL solar Sri Lanka SWERA TILT TMY UNEP Data application/zip icon Download TMY data (zip, 67.5 MiB)

87

Automatic Curve Extraction for Digitizing Rainfall Strip Charts  

Science Conference Proceedings (OSTI)

A method has been developed that largely automates the labor-intensive extraction work for large amounts of rainfall strip charts and paper rolls. The method consists of the following five basic steps: 1) scanning the charts and rolls to high-...

H. E. van Piggelen; T. Brandsma; H. Manders; J. F. Lichtenauer

2011-07-01T23:59:59.000Z

88

Table 14b. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002...

89

Table 14b. Average Electricity Prices, Projected vs. Actual  

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

b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

90

Census Division Number of Average Monthly Average Retail Price...  

Gasoline and Diesel Fuel Update (EIA)

Average Monthly Average Retail Price Average Monthly Bill State Consumers Consumption (kWh) (Cents per Kilowatthour) (Dollar and cents) New England 34,271 67,907 12.55 8,520.25...

91

Environmental Impact Statements and Environmental Assessments Status Chart  

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

Environmental Impact Statements and Environmental Assessments Environmental Impact Statements and Environmental Assessments Status Chart Environmental Impact Statements and Environmental Assessments Status Chart The Status Chart provides the status of ongoing NEPA documents at the Department of Energy, including the dates of important milestones in the NEPA process and references to more information (updated monthly). This chart represents anticipated activity and is not a commitment for documentation or date. Last Revised: 12/19/2013 StatusChart_December2013revised.pdf More Documents & Publications 2013 Annual Planning Summary for the Western Area Power Administration 2012 Annual Planning Summary for Western Area Power Administration 2011 ANNUAL PLANNING SUMMARY FOR ADVANCED RESEARCH AND PROJECTS AGENCY WESTERN AREA POWER ADMINISTRATION

92

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

93

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

94

Estimation of Daily Degree-hours  

Science Conference Proceedings (OSTI)

Degree-hours have many applications in fields such as agriculture, architecture, and power generation. Since daily mean temperatures are more readily available than hourly temperatures, the difference between mean daily degree-hours computed from ...

Nathaniel B. Guttman; Richard L. Lehman

1992-07-01T23:59:59.000Z

95

User's Guide to the Energy Charting and Metrics Tool (ECAM)  

SciTech Connect

The intent of this user guide is to provide a brief description of the functionality of the Energy Charting and Metrics (ECAM) tool, including the expanded building re-tuning functionality developed for Pacific Northwest National laboratory (PNNL). This document describes the tool's general functions and features, and offers detailed instructions for PNNL building re-tuning charts, a feature in ECAM intended to help building owners and operators look at trend data (recommended 15-minute time intervals) in a series of charts (both time series and scatter) to analyze air-handler, zone, and central plant information gathered from a building automation system (BAS).

Taasevigen, Danny J.; Koran, William

2012-02-28T23:59:59.000Z

96

Multiple instances and symbolic variables in executable sequence charts  

Science Conference Proceedings (OSTI)

We extend live sequence charts (LSCs), a highly expressive variant of sequence diagrams, and provide the extension with an executable semantics. The extension involves support for instances that can bind to multiple objects and symbolic variables that ...

Rami Marelly; David Harel; Hillel Kugler

2002-11-01T23:59:59.000Z

97

Inconsistencies in the “New” Windchill Chart at Low Wind Speeds  

Science Conference Proceedings (OSTI)

An apparent error was detected in the calculation of windchill equivalent temperatures (WCETs) in the “new” chart and corresponding equation that were adopted in 2001 by the weather services in the United States and Canada. The problem is caused ...

Avraham Shitzer; Richard de Dear

2006-05-01T23:59:59.000Z

98

Charting a New Carbon Route to Development | Open Energy Information  

Open Energy Info (EERE)

Charting a New Carbon Route to Development Charting a New Carbon Route to Development Jump to: navigation, search Tool Summary Name: Charting a New Carbon Route to Development Agency/Company /Organization: United Nations Development Programme (UNDP) Topics: Low emission development planning Resource Type: Guide/manual Website: www.beta.undp.org/content/undp/en/home/ourwork/environmentandenergy/fo Cost: Free Language: English Charting a New Carbon Route to Development Screenshot "UNDP recognizes the critical need to support developing country governments to build on their existing development strategies and coordination experiences (e.g., National Communications, National Adaptation Plan of Action, National Biodiversity Strategy and Action Plan, UN Development Assistance Framework, Country Assistance Strategy,

99

Building Energy Software Tools Directory: PsyChart  

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

state calculations. It has a graphical interface with a component pallet of all common air-conditioning processes. You can add and link any processes on a graphic chart to form...

100

Definition: Kilowatt-hour | Open Energy Information  

Open Energy Info (EERE)

Kilowatt-hour Kilowatt-hour Jump to: navigation, search Dictionary.png Kilowatt-hour A unit of measure for energy, typically applied to electricity usage; equal to the amount of energy used at a rate of 1,000 watts over the course of one hour. One kWh is equivalent to 3,412 Btu, or 3,600 kJ.[1][2] View on Wikipedia Wikipedia Definition The kilowatt hour, or kilowatt-hour, (symbol kW·h, kW h or kWh) is a unit of energy equal to 1000 watt hours or 3.6 megajoules. For constant power, energy in watt hours is the product of power in watts and time in hours. The kilowatt hour is most commonly known as a billing unit for energy delivered to consumers by electric utilities. Also Known As kWh Related Terms British thermal unit, Electricity, Energy, Kilowatt, energy, electricity generation

Note: This page contains sample records for the topic "average hourly charts" 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

The Autocorrelation of Hourly Wind Speed Observations  

Science Conference Proceedings (OSTI)

The autocorrelation of hourly wind speed observations is estimated for seven stations on the west coast of Canada at selected lags ranging from one hour to two months. The estimated autocorrelation function is fitted by a model that includes a ...

Arthur C. Brett; Stanton E. Tuller

1991-06-01T23:59:59.000Z

102

Virtualizing office hours in CS 50  

Science Conference Proceedings (OSTI)

In Fall 2007, we introduced "virtual office hours" into Harvard College's introductory computer science course, CS 50, so that students could meet with teaching fellows (TFs) online to discuss problem sets at any hour from anywhere. Our goals were to ... Keywords: CSCW, collaboration, distance education, virtual office hours

David J. Malan

2009-07-01T23:59:59.000Z

103

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

104

Environmental Impact Statements and Environmental Assessments Status Chart  

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

Environmental Impact Statements and Environmental Assessments Environmental Impact Statements and Environmental Assessments Status Chart Environmental Impact Statements and Environmental Assessments Status Chart This chart represents anticipated activity and is not a commitment for documentation or dates. October 21, 2011 EIS-0426: Notice of Extension of Public Comment Period for the Draft Site-Wide Environmental Impact Statement Continued Operation of the Nevada National Security Site and Off-Site Locations in the State of Nevada September 26, 2011 EA-1792: Finding of No Significant Impact University of Maine's Deepwater Offshore Floating Wind Turbine Testing and Demonstration Project, Gulf of Maine September 26, 2011 EA-1792: Final Environmental Assessment University of Maine's DeepWater Offshore Floating Wind Turbine Testing and

105

How to use streaming chart? | OpenEI Community  

Open Energy Info (EERE)

How to use streaming chart? How to use streaming chart? Home > Groups > Databus Hi, how do you use the built-in streaming chart? How do you form the URL for it? Thanks, Submitted by Hopcroft on 31 October, 2013 - 16:40 1 answer Points: 0 Go to My Databus->Data Streams and you can now click a graph of how the data comes from the tables and aggregagate it, spline it, range clean, etc. etc and then click finish and this will fill a url in for you now. Otherwise there is help in the help section for creating urls as well and you can create your own url but the editor is much easier now. Deanhiller on 11 November, 2013 - 11:03 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows?

106

How to use streaming chart? | OpenEI Community  

Open Energy Info (EERE)

How to use streaming chart? How to use streaming chart? Home > Groups > Databus Hi, how do you use the built-in streaming chart? How do you form the URL for it? Thanks, Submitted by Hopcroft on 31 October, 2013 - 16:40 1 answer Points: 0 Go to My Databus->Data Streams and you can now click a graph of how the data comes from the tables and aggregagate it, spline it, range clean, etc. etc and then click finish and this will fill a url in for you now. Otherwise there is help in the help section for creating urls as well and you can create your own url but the editor is much easier now. Deanhiller on 11 November, 2013 - 11:03 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows?

107

New Reports Chart Offshore Wind's Path Forward | Department of Energy  

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

Reports Chart Offshore Wind's Path Forward Reports Chart Offshore Wind's Path Forward New Reports Chart Offshore Wind's Path Forward December 12, 2012 - 2:29pm Addthis Taking a look at the challenges and opportunities that lie ahead as the U.S. prepares to enter the offshore wind market. Click here to view the full infographic. | Infographic by Sarah Gerrity. Taking a look at the challenges and opportunities that lie ahead as the U.S. prepares to enter the offshore wind market. Click here to view the full infographic. | Infographic by Sarah Gerrity. Taking a look at the challenges and opportunities that lie ahead as the U.S. prepares to enter the offshore wind market. Click here to view the full infographic. | Infographic by Sarah Gerrity.

108

DASHBOARDS & CONTROL CHARTS EXPERIENCES IN IMPROVING SAFETY AT HANFORD WASHINGTON  

SciTech Connect

The aim of this paper is to demonstrate the integration of safety methodology, quality tools, leadership, and teamwork at Hanford and their significant positive impact on safe performance of work. Dashboards, Leading Indicators, Control charts, Pareto Charts, Dr. W. Edward Deming's Red Bead Experiment, and Dr. Deming's System of Profound Knowledge have been the principal tools and theory of an integrated management system. Coupled with involved leadership and teamwork, they have led to significant improvements in worker safety and protection, and environmental restoration at one of the nation's largest nuclear cleanup sites.

PREVETTE, S.S.

2006-02-27T23:59:59.000Z

109

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

110

US Nuclear Regulatory Commission organization charts and functional statements  

Science Conference Proceedings (OSTI)

This document contains organization charts for the U.S. Nuclear Regulatory Commission (NRC) and for the five offices of the NRC. Function statements are provided delineating the major responsibilities and operations of each office. Organization and function are provided to the branch level. The head of each office, division, and branch is also listed.

NONE

1997-11-01T23:59:59.000Z

111

Interactive SIGHT: textual access to simple bar charts  

Science Conference Proceedings (OSTI)

Information graphics, such as bar charts and line graphs, are an important component of many articles from popular media. The majority of such graphics have an intention (a high-level message) to communicate to the graph viewer. Since the intended message ... Keywords: Accessibility, Assistive technology, Graph summarization, Information graphics, Visual impairments

Seniz Demir; David Oliver; Edward Schwartz; Stephanie Elzer; Sandra Carberry; Kathleen F. Mccoy; Daniel Chester

2010-12-01T23:59:59.000Z

112

ORGANISATIONAL CHART 2009 Laboratory: Research, Development and Services  

E-Print Network (OSTI)

ORGANISATIONAL CHART 2009 Laboratory: Research, Development and Services *reports to the Director. Sampani Radiation Protection of the Center G. Pantelias* HEALTH PHYSICS & ENVIRONMENTAL HEALTH LABORATORY. Kainourgiakis RADIATION PROTECTION & HEALTH PHYSICS OF THE REACTOR F. Tzika SUPPORT TO GAEC I. A. Papazoglou

113

Grid-Averaged Surface Fluxes  

Science Conference Proceedings (OSTI)

This study examines the inadequacies of formulations for surface fluxes for use in numerical models of atmospheric flow. The difficulty is that numerical models imply spatial averaging over each grid area. Existing formulations am based on the ...

L. Mahrt

1987-08-01T23:59:59.000Z

114

High average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduces the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, Thomas P. (Pleasanton, CA)

1991-01-01T23:59:59.000Z

115

OpenEI - hourly emission factors  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm4640 en Hourly Energy Emission Factors for Electricity Generation in the United States http:en.openei.orgdatasetsnode488...

116

A simple method to downscale daily wind statistics to hourly wind data  

E-Print Network (OSTI)

Wind is the principal driver in the wind erosion models. The hourly wind speed data were generally required for precisely wind erosion modeling. In this study, a simple method to generate hourly wind speed data from daily wind statistics (daily average and maximum wind speeds together or daily average wind speed only) was established. A typical windy location with 3285 days (9 years) measured hourly wind speed data were used to validate the downscaling method. The results showed that the overall agreement between observed and simulated cumulative wind speed probability distributions appears excellent, especially for the wind speeds greater than 5 m s-1 range (erosive wind speed). The results further revealed that the values of daily average erosive wind power density (AWPD) calculated from generated wind speeds fit the counterparts computed from measured wind speeds well with high models' efficiency (Nash-Sutcliffe coefficient). So that the hourly wind speed data can be predicted from daily average and maximu...

Guo, Zhongling

2013-01-01T23:59:59.000Z

117

Core Measure Average KTR Results  

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

Measure Measure Average KTR Results FY 12 Target FY 12 DOE M&O CONTRACTOR (KTR) BSC RESULTS FY 2012 Customer Perspective and level of communication provided by the procurement office 95 92 Internal Business Perspective: Assessment (%) of the degree to which the purchasing system is in compliance with stakeholder requirements 97 Local Goals % Delivery on-time (includes JIT, excludes Purchase Cards) 88 84 % of total dollars obligated, on actions > $150K , that were awarded using effective competition 73 Local Goals Rapid Purchasing Techniques: -% of transactions placed by users 77 Local Goals -% of transactions placed through electronic commerce 62 Local Goals Average Cycle Time: -Average cycle time for <= $150K 8 6 to 9 days

118

West Texas Intermediate Spot Average ............................  

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

Crude Oil (dollars per barrel) Crude Oil (dollars per barrel) West Texas Intermediate Spot Average ............................ 102.88 93.42 92.24 87.96 94.34 94.10 105.84 96.30 95.67 95.33 95.67 93.33 94.12 97.64 95.00 Brent Spot Average ........................................................... 118.49 108.42 109.61 110.09 112.49 102.58 110.27 108.29 106.33 105.00 103.00 102.00 111.65 108.41 104.08 Imported Average .............................................................. 108.14 101.18 97.18 97.64 98.71 97.39 103.07 100.03 99.64 99.33 99.69 97.35 101.09 99.85 99.04 Refiner Average Acquisition Cost ...................................... 107.61 101.44 97.38 97.27 101.14 99.45 105.24 100.44 100.15 99.82 100.18 97.83 100.83 101.61 99.50 Liquid Fuels (cents per gallon) Refiner Prices for Resale Gasoline .........................................................................

119

Widget:Motion Chart Visualization of OpenEI Traffic Statistics...  

Open Energy Info (EERE)

Motion Chart Visualization of OpenEI Traffic Statistics Jump to: navigation, search Google motion chart (Gapminder): This is the last year of OpenEI analytics for page views, time...

120

Digitizing Chart Recorder Data: Coordinate System Conversion for Rain Gauges and Similar Recording Instruments  

Science Conference Proceedings (OSTI)

Though chart recorder data are widely available for many environmental parameters over long periods of record, the nonorthogonal coordinate systems of many types of recorder charts complicates data extraction such that it is almost always manual; ...

M. Todd Walter; Paul Mutch; Christa D. Salmon; Donald K. McCool; Lars O. Hedin

1999-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" 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

Authority and Review Chart Exhibit A R = REVIEW A = AUTHORITY  

E-Print Network (OSTI)

Authority and Review Chart Exhibit A R = REVIEW A = AUTHORITY ¹ OFF-SCALE NOT HANDLED PER POLICY Chancellor Academic Affairs ASST PROF (LRF, In Residence, Clinical X) Appointment R R R³ R R R R R4 R A Merit/ Reappointment A A³ R A R A Merit with off-scale salary increase R R³ R R R R R A Merit with 6th Year Market os

Zhou, Yuanyuan

122

Propane Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet)  

Science Conference Proceedings (OSTI)

This chart shows the SDOs responsible for leading the support and development of key codes and standards for propane.

Not Available

2011-02-01T23:59:59.000Z

123

Electric Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet)  

Science Conference Proceedings (OSTI)

This chart shows the SDOs responsible for leading the support and development of key codes and standards for electric.

Not Available

2011-02-01T23:59:59.000Z

124

Natural Gas Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet)  

SciTech Connect

This chart shows the SDOs responsible for leading the support and development of key codes and standards for natural gas.

Not Available

2011-02-01T23:59:59.000Z

125

Biodiesel Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet)  

SciTech Connect

This chart shows the SDOs responsible for leading the support and development of key codes and standards for biodiesel.

Not Available

2011-02-01T23:59:59.000Z

126

Ethanol Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet)  

SciTech Connect

This chart shows the SDOs responsible for leading the support and development of key codes and standards for ethanol.

Not Available

2011-02-01T23:59:59.000Z

127

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

East Asia from NREL East Asia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

128

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Africa from NREL Africa from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

129

Bradbury Science Museum announces winter opening hours  

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

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

130

Variable Average Absolute Percent Differences  

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

Variable Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 1.0 42.6 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 35.2 18.6 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 34.7 19.7 Total Petroleum Consumption (Table 4) 6.2 66.5 Crude Oil Production (Table 5) 6.0 59.6 Petroleum Net Imports (Table 6) 13.3 67.0 Natural Gas Natural Gas Wellhead Prices (Constant $) (Table 7a) 30.7 26.1 Natural Gas Wellhead Prices (Nominal $) (Table 7b) 30.0 27.1 Total Natural Gas Consumption (Table 8) 7.8 70.2 Natural Gas Production (Table 9) 7.1 66.0 Natural Gas Net Imports (Table 10) 29.3 69.7 Coal Coal Prices to Electric Generating Plants (Constant $)** (Table 11a)

131

Achronal averaged null energy condition  

Science Conference Proceedings (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent spacetime in semiclassical gravity in which ANEC is violated on a complete, achronal null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out closed timelike curves and wormholes connecting different asymptotically flat regions.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States) and Center for Theoretical Physics, Laboratory for Nuclear Science, and Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2007-09-15T23:59:59.000Z

132

Achronal averaged null energy condition  

E-Print Network (OSTI)

The averaged null energy condition (ANEC) requires that the integral over a complete null geodesic of the stress-energy tensor projected onto the geodesic tangent vector is never negative. This condition is sufficient to prove many important theorems in general relativity, but it is violated by quantum fields in curved spacetime. However there is a weaker condition, which is free of known violations, requiring only that there is no self-consistent space-time in semiclassical gravity in which ANEC is violated on a complete, {\\em achronal} null geodesic. We indicate why such a condition might be expected to hold and show that it is sufficient to rule out wormholes and closed timelike curves.

Noah Graham; Ken D. Olum

2007-05-22T23:59:59.000Z

133

Office of Energy Efficiency and Renewable Energy Organization Chart  

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

Kathleen Kathleen . an Steven G. Chalk Merle . JoAnn Milliken Jose Building Technologies Roland J. Risser Federal Energy M Management Timothy D. Unruh Advanced Manufacturing Kathleen B. Hogan (Acting) Vehicle Technology Patrick B. Davis Weatherization & Intergovernmental Anna M. Garcia Biomass Program Valerie Sarisky-Reed (Acting) Fuel Cell Technologies g Sunita Satyapal Geothermal Technology Douglas W. Hollett Solar Energy Technology Minh Sy Le (Acting) Wind & Hydropower Technology Jose R Zayas R. Zayas EERE Organization Chart Assistant Secretary David T. Danielson Principal Deputy Assistant Secretary Energy Efficiency Kathleen B. Hogan Renewable Energy Steven G. Chalk Business Operations Merle L. Sykes Strategic Programs JoAnn Milliken (Acting) Assistant Secretary

134

Section 8-6: Process Capacity Sec 8-7: Attribute Control Charts Sec 8-8: Control Chart Performance Math/Stat 370: Engineering Statistics  

E-Print Network (OSTI)

Control Charts Sec 8-8: Control Chart Performance Fallout Level Fallout level = fraction of defective (nonconforming) output. Fallout level is the sum of following two probabilities P(X .7% of the the specifications' width. 1 Estimate Cp = Cpk. Cp = 1/0.867 = 1.15. 2 What fallout level is produced? LSL - µ = -3

Li, Haijun

135

Temporal Structure of the Solar Radiation Field in Cloudy Conditions: Are Retrievals of Hourly Averages from Space Possible?  

Science Conference Proceedings (OSTI)

The authors examine the temporal variability of measured 415- and 611.7-nm spectral solar irradiance in cloudy stratocumulus conditions. This is accomplished by normalizing measured data by the equivalent irradiance for cloudless conditions and ...

Manuel Nunez; Kurt Fienberg; Christopher Kuchinke

2005-01-01T23:59:59.000Z

136

Yearly average performance of the principal solar collector types  

DOE Green Energy (OSTI)

The results of hour-by-hour simulations for 26 meteorological stations are used to derive universal correlations for the yearly total energy that can be delivered by the principal solar collector types: flat plate, evacuated tubes, CPC, single- and dual-axis tracking collectors, and central receiver. The correlations are first- and second-order polynomials in yearly average insolation, latitude, and threshold (= heat loss/optical efficiency). With these correlations, the yearly collectible energy can be found by multiplying the coordinates of a single graph by the collector parameters, which reproduces the results of hour-by-hour simulations with an accuracy (rms error) of 2% for flat plates and 2% to 4% for concentrators. This method can be applied to collectors that operate year-around in such a way that no collected energy is discarded, including photovoltaic systems, solar-augmented industrial process heat systems, and solar thermal power systems. The method is also recommended for rating collectors of different type or manufacturer by yearly average performance, evaluating the effects of collector degradation, the benefits of collector cleaning, and the gains from collector improvements (due to enhanced optical efficiency or decreased heat loss per absorber surface). For most of these applications, the method is accurate enough to replace a system simulation.

Rabl, A.

1981-01-01T23:59:59.000Z

137

hourly solar radiation | OpenEI  

Open Energy Info (EERE)

solar radiation solar radiation Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for Source Renewable Energy Research Centre Date Released October 22nd, 2003 (11 years ago) Date Updated Unknown Keywords Bangladesh documentation hourly solar radiation SWERA

138

Life of a Six-Hour Hurricane  

Science Conference Proceedings (OSTI)

Hurricane Claudette developed from a weak vortex in 6 h as deep convection shifted from downshear into the vortex center, despite ambient vertical wind shear exceeding 10 m s?1. Six hours later it weakened to a tropical storm, and 12 h after the ...

Kay L. Shelton; John Molinari

2009-01-01T23:59:59.000Z

139

ARCHITECT-ENGINEER QUALIFICATIONS Public reporting burden for this collection of information is estimated to average a total of 29 hours per response (25 hours for Part 1 and 4 hours  

E-Print Network (OSTI)

; innate immunity; stress; cadmium; infection; P-glycoprotein INTRODUCTION In the soil, Caenorhabditis fluorescence related to pgp-5 induction with the COPAS worm sorter (Supplemental Fig 2D). pgp-5 expression resistance in the soil nematode Caenorhabditis elegans. Embo J 1996;15:6132­43. [PubMed: 8947035] Kurz et al

Kemner, Ken

140

Developing hourly weather data for locations having only daily weather data  

Science Conference Proceedings (OSTI)

A methodology was developed to modify an hourly TMY weather tape to be representative of a location for which only average daily weather parameters were avilable. Typical hourly and daily variations in solar flux, and other parameters, were needed to properly exercise a computer model to predict the transient performance of a solar controlled greenhouse being designed for Riyadh, Saudi Arabia. The starting point was a TMY tape for Yuma, Arizona, since the design temperatures for summer and winter are nearly identical for Yuma and Riyadh. After comparing six of the most important weather variables, the hourly values on the Yuma tape were individually adjusted to give the same overall daily average conditions as existed in the long-term Riyadh data. Finally, a statistical analysis was used to confirm quantitatively that the daily variations between the long term average values for Riyadh and the modified TMY weather tape for Yuma matched satisfactorily.

Talbert, S.G.; Herold, K.E.; Jakob, F.E.; Lundstrom, D.K.

1983-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" 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

Creating new charts using Flot or some other framework | OpenEI Community  

Open Energy Info (EERE)

Creating new charts using Flot or some other framework Creating new charts using Flot or some other framework Home > Groups > Databus Hi, We are trying with some other 3rd party API other than highstocks (like flot or dygraphs) and use the existing design to create new charts and document that flow..Somehow, we are facing some issues with that..sometime with test data and sometimes with APIs.. ...while debugging those issues we have created a very basic version of pie chart using the the existing framework and highchart's API and found that we only need three meta delimiters to create a chart. Without using databus's data but using some other generic data we are able to create a pie chart. So, we wanted to know that: 1. Is there any other step apart from the one which we have documentated in the above link. I mean do we need to include anything else?

142

Creating new charts using Flot or some other framework | OpenEI Community  

Open Energy Info (EERE)

Creating new charts using Flot or some other framework Creating new charts using Flot or some other framework Home > Groups > Databus Hi, We are trying with some other 3rd party API other than highstocks (like flot or dygraphs) and use the existing design to create new charts and document that flow..Somehow, we are facing some issues with that..sometime with test data and sometimes with APIs.. ...while debugging those issues we have created a very basic version of pie chart using the the existing framework and highchart's API and found that we only need three meta delimiters to create a chart. Without using databus's data but using some other generic data we are able to create a pie chart. So, we wanted to know that: 1. Is there any other step apart from the one which we have documentated in the above link. I mean do we need to include anything else?

143

Spectral and Parametric Averaging for Integrable Systems  

E-Print Network (OSTI)

We analyze two theoretical approaches to ensemble averaging for integrable systems in quantum chaos - spectral averaging and parametric averaging. For spectral averaging, we introduce a new procedure - rescaled spectral averaging. Unlike traditional spectral averaging, it can describe the correlation function of spectral staircase and produce persistent oscillations of the interval level number variance. Parametric averaging, while not as accurate as rescaled spectral averaging for the correlation function of spectral staircase and interval level number variance, can also produce persistent oscillations of the global level number variance and better describes saturation level rigidity as a function of the running energy. Overall, it is the most reliable method for a wide range of statistics.

Tao Ma; R. A. Serota

2013-06-03T23:59:59.000Z

144

Overview of the Consortium of Hospitals Advancing Research on Tobacco (CHART)  

E-Print Network (OSTI)

Center for Health Research provides organizational and dataHealth Research in Portland, Oregon (U01 HL 105233, Principal Investigator (PI ) Victor Stevens). The CHART organizational

Riley, William T; Stevens, Victor J; Zhu, Shu-Hong; Morgan, Glen; Grossman, Debra

2012-01-01T23:59:59.000Z

145

Pipeline constraints raise average spot natural gas prices in the ...  

U.S. Energy Information Administration (EIA)

The chart shows that spot natural gas prices for Henry Hub, Chicago, ... and gas from Pennsylvania storage fields on to Atlantic coast markets. ...

146

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

South America from NREL South America from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

147

Solar: monthly and annual average direct normal (DNI), global horizontal  

Open Energy Info (EERE)

Central America and the Carribean from NREL Central America and the Carribean from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal and tilted flat-plates, and 2-axis tracking concentrating collectors. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to solar collectors. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

148

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production  

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

Hour-by-Hour Cost Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production Genevieve Saur (PI), Chris Ainscough (Presenter), Kevin Harrison, Todd Ramsden National Renewable Energy Laboratory January 17 th , 2013 This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 Acknowledgements * This work was made possible by support from the U.S. Department of Energy's Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy (EERE). http://www.eere.energy.gov/topics/hydrogen_fuel_cells.html * NREL would like to thank our DOE Technology Development Managers for this project, Sara Dillich, Eric Miller, Erika Sutherland, and David Peterson. * NREL would also like to acknowledge the indirect

149

DOE Awards Over a Billion Supercomputing Hours to Address Scientific...  

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

Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am...

150

DOE's Office of Science Awards 95 Million Hours of Supercomputing...  

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

95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance...

151

UNDP-Charting a New Low-Carbon Route to Development | Open Energy  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » UNDP-Charting a New Low-Carbon Route to Development Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Charting a New Low-Carbon Route to Development Agency/Company /Organization: United Nations Development Programme Topics: Low emission development planning, Policies/deployment programs Resource Type: Guide/manual Website: prod-http-80-800498448.us-east-1.elb.amazonaws.com//w/images/6/6c/Char Charting a New Low-Carbon Route to Development Screenshot References: Charting a New Low-Carbon Route to Development[1] Logo: Charting a New Low-Carbon Route to Development

152

The Clean Energy Economy in Three Charts | Department of Energy  

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

standards are fully implemented, the average driver will save more than 8,000 at the pump. When the standards take full effect in 2025, they will reduce oil imports by 2.2...

153

WIPP Workers Reach Two Million Man-Hours Without a Lost-Time Accident  

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

Workers Reach Two Million Man-Hours Workers Reach Two Million Man-Hours Without a Lost-Time Accident CARLSBAD, N.M., February 22, 2001 - Workers at the U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP) reached a safety milestone Feb. 19 by working two million man-hours without a lost-time accident. According to the National Safety Council, facilities with the same industry code as WIPP lose an average of 20.6 workdays (or 164.8 man-hours) a year to accidents. "Safety is at the core of all WIPP operations," said Dr. Inés Triay, Manager of DOE's Carlsbad Field Office. "We are particularly pleased that WIPP workers reached the two million mark during the time in which they mined a new panel and increased shift work." "To make safety a number one priority means more than creating a safe

154

Optimization Online - String-Averaging Projected Subgradient ...  

E-Print Network (OSTI)

Aug 29, 2013 ... Optimization Online. String-Averaging Projected Subgradient Methods for Constrained Minimization. Yair Censor(yair ***at*** math.haifa.ac.il)

155

Average Stock Levels: Crude Market & Propane  

U.S. Energy Information Administration (EIA)

This graph shows that propane was not alone in experiencing excess supply in 1998 and extraordinary stock builds. Note that the graph shows average stock levels ...

156

Dynamic Multiscale Averaging (DMA) of Turbulent Flow  

SciTech Connect

A new approach called dynamic multiscale averaging (DMA) for computing the effects of turbulent flow is described. The new method encompasses multiple applications of temporal and spatial averaging, that is, multiscale operations. Initially, a direct numerical simulation (DNS) is performed for a relatively short time; it is envisioned that this short time should be long enough to capture several fluctuating time periods of the smallest scales. The flow field variables are subject to running time averaging during the DNS. After the relatively short time, the time-averaged variables are volume averaged onto a coarser grid. Both time and volume averaging of the describing equations generate correlations in the averaged equations. These correlations are computed from the flow field and added as source terms to the computation on the next coarser mesh. They represent coupling between the two adjacent scales. Since they are computed directly from first principles, there is no modeling involved. However, there is approximation involved in the coupling correlations as the flow field has been computed for only a relatively short time. After the time and spatial averaging operations are applied at a given stage, new computations are performed on the next coarser mesh using a larger time step. The process continues until the coarsest scale needed is reached. New correlations are created for each averaging procedure. The number of averaging operations needed is expected to be problem dependent. The new DMA approach is applied to a relatively low Reynolds number flow in a square duct segment. Time-averaged stream-wise velocity and vorticity contours from the DMA approach appear to be very similar to a full DNS for a similar flow reported in the literature. Expected symmetry for the final results is produced for the DMA method. The results obtained indicate that DMA holds significant potential in being able to accurately compute turbulent flow without modeling for practical engineering applications.

Richard W. Johnson

2012-09-01T23:59:59.000Z

157

Nuclear Science-A Guide to the Nuclear Science Wall Chart  

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

Science-A Guide to the Nuclear Science Wall Chart 2004 Contemporary Physics Education Project (CPEP) 9-1 Chapter 9 Phases of Nuclear Matter As we know, water (H 2 O) can exist as...

158

Bayesian curve estimation by model averaging  

Science Conference Proceedings (OSTI)

A Bayesian approach is used to estimate a nonparametric regression model. The main features of the procedure are, first, the functional form of the curve is approximated by a mixture of local polynomials by Bayesian model averaging (BMA), second, the ... Keywords: BIC criterion, Bayesian model averaging, Local polynomial regression, Nonparametric curve fitting, Robustness

Daniel Peña; Dolores Redondas

2006-02-01T23:59:59.000Z

159

Property:SalinityAverage | Open Energy Information  

Open Energy Info (EERE)

SalinityAverage SalinityAverage Jump to: navigation, search Property Name SalinityAverage Property Type Number Description Mean average of the low and high end measurements of the salinity [ppm] of the fluid. This is a property of type Page. Subproperties This property has the following 1 subproperty: C Coso Geothermal Area Pages using the property "SalinityAverage" Showing 19 pages using this property. A Amedee Geothermal Area + 975 + B Beowawe Hot Springs Geothermal Area + 700 + Blue Mountain Geothermal Area + 4300 + Brady Hot Springs Geothermal Area + 3500 + C Chena Geothermal Area + 325 + D Desert Peak Geothermal Area + 6700 + Dixie Valley Geothermal Area + 2295 + E East Mesa Geothermal Area + 3750 + G Geysers Geothermal Area + 217 + K Kilauea East Rift Geothermal Area + 18750 +

160

BNL | Center for Functional Nanomaterials Hours of Operation  

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

CFN Hours of Operation CFN Hours of Operation Normal working hours at the CFN are 8 a.m. to 6 p.m. Working Outside of Normal Hours CFN scientific and technical personnel, as well as external users, may need to work outside of normal operating hours, during which time support is limited and many colleagues may not be around. Therefore, working outside the 8 a.m. to 6 p.m. envelope on weekdays, or anytime on weekends and holidays, requires special precautions, especially if working in a laboratory. CFN users are expected to work at the CFN during normal working hours. Users with extensive experience working at the CFN may be granted permission by the appropriate facility leader and ES&H Coordinator to work after hours. Users first must complete the Request to Work After-Hours at

Note: This page contains sample records for the topic "average hourly charts" 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

Results of the 1000 Hour Rotary Microfilter Endurance Test  

Stellite on Nitronic 60. 8 SRNL-L3100-2010-00229 Rotary Microfilter 1000 Hour Test Flux Data for 1000 Hour Test 0 1 2 3 4 5 6 0 100 200 300 400 500 ...

162

average air temperature | OpenEI  

Open Energy Info (EERE)

average air temperature average air temperature Dataset Summary Description (Abstract): Air Temperature at 10 m Above The Surface Of The Earth (deg C)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Air Temperature at 10 m Above The Surface Of The Earth (deg C)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords average air temperature

163

Lagged Average Predictions in a Predictability Experiment  

Science Conference Proceedings (OSTI)

Lagged average predictions are examined here within the context of an idealized predictability experiment. Lagged predictions contribute to making better forecasts than the forecasts obtained from using only the latest initial state. Analytic ...

John O. Roads

1988-01-01T23:59:59.000Z

164

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical postprocessing technique that has been used in probabilistic weather forecasting to calibrate forecast ensembles and generate predictive probability density functions (PDFs) for weather quantities. ...

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

165

The Shape of Averaged Drop Size Distributions  

Science Conference Proceedings (OSTI)

The shape of averaged drop size distributions (DSD) is studied from a large sample of data (892 h) collected at several sites of various latitudes. The results show that neither the hypothesis of an exponential distribution to represent rainfall ...

Henri Sauvageot; Jean-Pierre Lacaux

1995-04-01T23:59:59.000Z

166

A high average power pockels cell  

DOE Patents (OSTI)

A high average power pockels cell is disclosed which reduced the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

Daly, T.P.

1986-02-10T23:59:59.000Z

167

Average transmission probability of a random stack  

E-Print Network (OSTI)

The transmission through a stack of identical slabs that are separated by gaps with random widths is usually treated by calculating the average of the logarithm of the transmission probability. We show how to calculate the average of the transmission probability itself with the aid of a recurrence relation and derive analytical upper and lower bounds. The upper bound, when used as an approximation for the transmission probability, is unreasonably good and we conjecture that it is asymptotically exact.

Yin Lu; Christian Miniatura; Berthold-Georg Englert

2009-07-31T23:59:59.000Z

168

Estimating Averaging Times for Point and Path-Averaged Measurements of Turbulence Spectra  

Science Conference Proceedings (OSTI)

Uncertainty over how long to average turbulence variables to achieve some desired level of statistical stability is a common concern in boundary-layer meteorology. Several models exist that predict averaging times for measurements of variances ...

Edgar L. Andreas

1988-03-01T23:59:59.000Z

169

The University of Texas at Austin Average Cost of Attendance per Academic Year (Fall & Spring)  

E-Print Network (OSTI)

The University of Texas at Austin Average Cost of Attendance per Academic Year (Fall & Spring) for Texas Resident Undergraduates 2010-2011 - Calculations based on a course load of 15-hours per semester of rules set forth by the Texas Higher Education Coordinating Board regarding the implementation of Senate

Texas at Austin, University of

170

Hospital Triage in First Hours After Nuclear or Radiological...  

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

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Medical professionals with the Radiation Emergency Assistance CenterTraining Site (REACTS) at the...

171

Delayed Start or Cancellation of Business Hours | Argonne National...  

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

Twitter Delayed Start or Cancellation of Business Hours Winter Road Closings Winter Weather FAQs Westgate Alternate Routes Reporting IllegalUnethical Activity Working Remotely...

172

Does EIA publish data on peak or hourly electricity ...  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial ... load (or demand) data in our Electric Power Annual ... hourly load/demand profiles for some Independent ...

173

USVI Energy Road Map: Charting the Course to a Clean Energy Future  

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

USVI Energy Road Map: Charting the Course to a Clean Energy Future USVI Energy Road Map: Charting the Course to a Clean Energy Future (Brochure), EDIN (Energy Development in Island Nations), U.S. Virgin Islands USVI Energy Road Map: Charting the Course to a Clean Energy Future (Brochure), EDIN (Energy Development in Island Nations), U.S. Virgin Islands This brochure provides an overview of the integrated clean energy deployment process and progress of the Energy Development in Island Nations U.S. Virgin Islands pilot project road map, including over-arching goals, organization, strategy, technology-specific goals and accomplishments, challenges, solutions, and upcoming milestones. edinusvi_roadmap.pdf More Documents & Publications U.S. Virgin Islands Energy Road Map: Analysis Integrating Renewable Energy into the Transmission and Distribution System

174

Scale of Things Chart | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Scale Scale of Things Chart Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Program Summaries Brochures Reports Accomplishments Presentations BES and Congress Science for Energy Flow Seeing Matter Scale of Things Chart Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: sc.bes@science.doe.gov More Information » News & Resources Scale of Things Chart Print Text Size: A A A RSS Feeds FeedbackShare Page BES May 26, 2006, Version -- Higher resolution files are provided below -- Powerpoint file .ppt file (3.9MB) (4 MB) | JPG image .jpg file

175

USVI Energy Road Map: Charting the Course to a Clean Energy Future  

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

USVI Energy Road Map: Charting the Course to a Clean Energy Future USVI Energy Road Map: Charting the Course to a Clean Energy Future (Brochure), EDIN (Energy Development in Island Nations), U.S. Virgin Islands USVI Energy Road Map: Charting the Course to a Clean Energy Future (Brochure), EDIN (Energy Development in Island Nations), U.S. Virgin Islands This brochure provides an overview of the integrated clean energy deployment process and progress of the Energy Development in Island Nations U.S. Virgin Islands pilot project road map, including over-arching goals, organization, strategy, technology-specific goals and accomplishments, challenges, solutions, and upcoming milestones. edinusvi_roadmap.pdf More Documents & Publications U.S. Virgin Islands Energy Road Map: Analysis Integrating Renewable Energy into the Transmission and Distribution System

176

World average top-quark mass  

SciTech Connect

This paper summarizes a talk given at the Top2008 Workshop at La Biodola, Isola d Elba, Italy. The status of the world average top-quark mass is discussed. Some comments about the challanges facing the experiments in order to further improve the precision are offered.

Glenzinski, D.; /Fermilab

2008-01-01T23:59:59.000Z

177

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 report, Staff Forecast: Retail Electricity Prices, 2005 to 2018, was prepared with contributions from the technical assistance provided by Greg Broeking of R.W. Beck, Inc. in preparing retail price forecasts

178

Exact bounds for average pairwise network reliability  

Science Conference Proceedings (OSTI)

Several methods for finding exact bounds of average pairwise network connectivity (APNC) are proposed. These methods allows faster decision making about if a network is reliable for its purpose. Previous results on cumulitive updating of all-terminal ... Keywords: algorithm, network reliability, pairwise connectivity

Alexey Rodionov; Olga Rodionova

2013-01-01T23:59:59.000Z

179

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 AEO 1996 1994 7.09 6.99 6.94 6.93 6.96 6.96 6.96 6.97 6.98 6.97 6.98 6.95 6.95 6.94 6.96 6.95 6.91 AEO 1997 1995 6.94 6.89 6.90 6.91 6.86 6.84 6.78 6.73 6.66 6.60 6.58 6.54 6.49 6.48 6.45 6.36

180

Impact of Wind Energy on Hourly Load Following Requirements: An Hourly and Seasonal Analysis; Preprint  

Science Conference Proceedings (OSTI)

The impacts of wind energy on the power system grid can be decomposed into several time scales that include regulation, load following, and unit commitment. Techniques for evaluating the impacts on these time scales are still evolving, and as wind energy becomes a larger part of the electricity supply, valuable experience will be gained that will help refine these methods. Studies that estimated the impact of wind in the load following time scale found differing results and costs, ranging from near zero to approximately $2.50/megawatt-hour (MWh). Part of the reason for these differences is the different interpretation of the impacts that would be allocated to this ancillary service. Because of the low correlation between changes in load and wind, long-term analyses of the load following impact of wind may find low impacts. During the daily load cycle, there is a tremendous variability in load following requirements in systems without wind. When significant levels of wind generation are added to the resource mix, relatively small changes in wind output can complicate the task of balancing the system during periods of large load swings. This paper analyzes the load following impacts of wind by segregating these critical time periods of the day and separating the analysis by season. The analysis compares wind generation at geographically dispersed sites to wind generation based primarily at a single site, and for a large penetration of wind (more than 20% wind capacity to peak load).

Krich, A.; Milligan, M.

2005-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Electric Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet), NREL (National Renewable Energy Laboratory)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Dispensing Dispensing Infrastructure 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. CONTROLLING AUTHORITIES: State and Federal Energy Regulatory Commissions CONTROLLING AUTHORITIES: Local Building and Fire Departments CONTROLLING AUTHORITIES: DOT/NHTS Many standards development organizations (SDOs) are working to develop codes and standards needed for the utilization of alternative fuel vehicle technologies. This chart shows the SDOs responsible for leading the support and development of key codes and standards for electric. Electric Vehicle and Infrastructure Codes and Standards Chart Institute of Electrical and Electronics Engineers, Inc. FERC Federal Energy

182

Ethanol Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet), NREL (National Renewable Energy Laboratory)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

pipeline safety) CONTROLLING AUTHORITIES: State and Local Government (zoning, building permits) CONTROLLING AUTHORITIES: State and Local Government (zoning, building permits) CONTROLLING AUTHORITIES: DOT/NHTS (crashworthiness) EPA (emissions) Many standards development organizations (SDOs) are working to develop codes and standards needed for the utilization of alternative fuel vehicle technologies. This chart shows the SDOs responsible for leading the support and development of key codes and standards for ethanol. Ethanol Vehicle and Infrastructure Codes and Standards Chart Engine Testing: Fuel Systems: Fuel Lubricants: Powertrain Systems: Containers: Dispensing Operations: Dispensing Components: Containers: Transfer Operations: Container Components: Container Siting:

183

Microsoft PowerPoint - OECM ORG CHART FY11 (Oct2010)  

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

Operational Organization Chart Operational Organization Chart (FY 11) Office of Engineering & Construction Management POLICY - GUIDANCE -OVERSIGHT Pete Check Deputy Director Les Novitsky - Management Analyst (on detail) Rosalyn Matthews - Program Support Specialist EIR Program Analyst (IBM) - Monica Morris Paul Bosco Director Real Estate Tom Geronikos - Realty Spec Mark Price - Realty Spec David Steinau - Realty Spec OECM FUNCTIONS: 1) PROJECT MANAGEMENT (PM) 2) FACILITIES AND INFRASTRUCTURE 3) PM PROFESSIONAL DEVELOPMENT 4) REAL ESTATE October 18, 2010 Robert Raines Director for Project Management Systems & Assessments Peter O'Konski Director for Facilities Management & Professional Development Project Management James Fountain - Prog Analyst John Makepeace - Prog Analyst Cynthia Seiter - Prog Analyst

184

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

185

Solar: monthly and annual average direct normal (DNI) GIS data at 40km for  

Open Energy Info (EERE)

km for km for Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

186

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

187

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

188

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Kenya. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

189

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Sri Lanka (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

190

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to

191

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

192

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Nepal. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

193

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

194

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The

195

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors for Ghana. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

196

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Brazil. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water

197

Solar: annual average direct normal (DNI) GIS data at 10km resolution for  

Open Energy Info (EERE)

GIS data at 10km resolution for GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This

198

Sources Of Average Individual Radiation Exposure  

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

Of Average Individual Radiation Exposure Of Average Individual Radiation Exposure Natural background Medical Consumer products Industrial, security, educational and research Occupational 0.311 rem 0.300 rem 0.013 rem 0.0003 rem 0.0005 rem Savannah River Nuclear Solutions, LLC, provides radiological protection services and oversight at the Savannah River Site (SRS). These services include radiation dose measurements for persons who enter areas where they may be exposed to radiation or radioactive material. The results are periodically reported to monitored individuals. The results listed are based on a radiation dose system developed by the International Commission on Radiation Protection. The system uses the terms "effective dose," "equivalent dose" and units of rem. You may be more familiar with the term "millirem" (mrem), which is 1/1000 of a rem.

199

Fat turnover in obese slower than average  

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

9-04 9-04 For immediate release: 09/23/2011 | NR-11-09-04 Fat turnover in obese slower than average Anne M Stark, LLNL, (925) 422-9799, stark8@llnl.gov Printer-friendly This scanning electron micrograph image shows part of a lobule of adipose tissue (body fat). Adipose tissue is specialized connective tissue that functions as the major storage site for fat. Photo courtesy of David Gregory & Debbie Marshall/Wellcome Images LIVERMORE, Calif. -- It may be more difficult for obese people to lose fat because the "turnover" rate is much slower for those overweight than average weight individuals. New research in the Sept. 25 online edition of the journal Nature shows that the turnover (storage and loss rate) of fat in the human body is about 1 1/2 years compared to fat cells, which turnover about every 10 years,

200

Natural Gas Prices: Well Above Recent Averages  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The recent surge in spot prices at the Henry Hub are well above a typical range for 1998-1999 (in this context, defined as the average, +/- 2 standard deviations). Past price surges have been of short duration. The possibility of a downward price adjustment before the end of next winter is a source of considerable risk for storage operators who acquire gas at recent elevated prices. Storage levels in the Lower 48 States were 7.5 percent below the 5-year average (1995-1999) by mid-August (August 11), although the differential is only 6.4 percent in the East, which depends most heavily on storage to meet peak demand. Low storage levels are attributable, at least in part, to poor price incentives: high current prices combined with only small price

Note: This page contains sample records for the topic "average hourly charts" 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

HIGH AVERAGE POWER OPTICAL FEL AMPLIFIERS.  

SciTech Connect

Historically, the first demonstration of the optical FEL was in an amplifier configuration at Stanford University [l]. There were other notable instances of amplifying a seed laser, such as the LLNL PALADIN amplifier [2] and the BNL ATF High-Gain Harmonic Generation FEL [3]. However, for the most part FELs are operated as oscillators or self amplified spontaneous emission devices. Yet, in wavelength regimes where a conventional laser seed can be used, the FEL can be used as an amplifier. One promising application is for very high average power generation, for instance FEL's with average power of 100 kW or more. The high electron beam power, high brightness and high efficiency that can be achieved with photoinjectors and superconducting Energy Recovery Linacs (ERL) combine well with the high-gain FEL amplifier to produce unprecedented average power FELs. This combination has a number of advantages. In particular, we show that for a given FEL power, an FEL amplifier can introduce lower energy spread in the beam as compared to a traditional oscillator. This properly gives the ERL based FEL amplifier a great wall-plug to optical power efficiency advantage. The optics for an amplifier is simple and compact. In addition to the general features of the high average power FEL amplifier, we will look at a 100 kW class FEL amplifier is being designed to operate on the 0.5 ampere Energy Recovery Linac which is under construction at Brookhaven National Laboratory's Collider-Accelerator Department.

BEN-ZVI, ILAN, DAYRAN, D.; LITVINENKO, V.

2005-08-21T23:59:59.000Z

202

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function  

E-Print Network (OSTI)

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function Ken relaxation length, v sat ø h''i (¸ 0:05¯m), the energy distribution function is not well described calculation of impact ionization coefficient requires the use of a high energy distribution function because

Dunham, Scott

203

U.S. Nuclear Regulatory Commission organization charts and functional statements. Revision 18  

SciTech Connect

This document (NUREG-0325) is the current US NRC organization chart, listing all NRC offices and regions and their components down through the branch level as of July 23, 1995. Functional statements of each position are given, as is the name of the individual holding the position.

NONE

1995-07-23T23:59:59.000Z

204

Report of 1,000 Hour Catalyst Longevity Evaluation  

DOE Green Energy (OSTI)

This report presents the results of a 1,000 hour, high-pressure, catalyst longevity test for the decomposition of concentrated sulfuric acid. The reaction is used for both the sulfur-iodine (S-I) cycle and hybrid sulfur cycle. By the time of the delivery date of April 17, 2009, for project milestone no. 2NIN07TC050114, the 1% Pt/TiO2 catalyst had been in the reaction environment for 658 hours. During the first 480 hours of testing, the catalyst activity provided stable, near-equilibrium yields of 46.8% SO2 and 22.8% O2. However, product yields declined at sample exposure times >480 hours. At 658 hours of operation, catalyst activity (based on oxygen yield) declined to 57% relative to the stable period of catalyst activity. Thus, as of April 17, this catalyst did not provide the desired stability level of <10% degradation per 1,000 hours. The experiment was terminated on April 27, after 792 hours, when a fitting failed and the catalyst was displaced from the reactor such that the sample could not be recovered. Oxygen conversion at the end of the experiment was 12.5% and declining, suggesting that at that point, catalyst activity had decreased to 54% of the initial level.

Daniel M. Ginosar

2009-06-01T23:59:59.000Z

205

Solar: annual average global horizontal (GHI) GIS data at 10km resolution  

Open Energy Info (EERE)

global horizontal (GHI) GIS data at 10km resolution global horizontal (GHI) GIS data at 10km resolution for Cuba from SUNY Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate solar collectors for Cuba (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a horizontal flat-plate solar collector, such as a Photovoltaic (PV) solar panel. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 10 km by 10 km in size. The solar resource value is represented as kilowatt-hours per square meter per day for each month. The data were developed from the State University of New York's (SUNY) GOES satellite solar model. This model uses information on hourly satellite observed visible irradiance, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total of the normal or beam insolation falling on a tracking concentrator pointed

206

Development of an Hourly Optimization Tool for Renewable Energy Systems  

SciTech Connect

An hourly optimization tool is developed to select and size renewable energy (RE) systems to meet the energy needs for various federal facilities. The optimization is based on life cost analysis of various RE technologies including wind and PV systems. The developed hourly optimization tool is used to evaluate the cost-effectiveness of RE technologies using complex energy and demand charges such time-of-use (TOU) rates. The paper compares results obtained using hourly analysis instead of annual based calculations to optimize the sizing of RE systems for residential, commercial, and industrial facilities in three representative US climates.

Lee, C.; Walker, A.; Krarti, M.

2010-01-01T23:59:59.000Z

207

17Solar Storm Energy and Pie Graphs The pie charts below show approximately how various forms of energy  

E-Print Network (OSTI)

17Solar Storm Energy and Pie Graphs The pie charts below show approximately how various forms of energy are involved in a solar flare. Flares occur when stored magnetic energy is suddenly released. The chart on the left shows how much of this magnetic energy is available for creating a flare (purple

208

Average Price of Natural Gas Production  

Gasoline and Diesel Fuel Update (EIA)

. . Quantity and Average Price of Natural Gas Production in the United States, 1930-1996 (Volumes in Million Cubic Feet, Prices in Dollars per Thousand Cubic Feet) Table Year Gross Withdrawals Used for Repressuring Nonhydro- carbon Gases Removed Vented and Flared Marketed Production Extraction Loss Dry Production Average Wellhead Price of Marketed Production 1930 ....................... NA NA NA NA 1,978,911 75,140 1,903,771 0.08 1931 ....................... NA NA NA NA 1,721,902 62,288 1,659,614 0.07 1932 ....................... NA NA NA NA 1,593,798 51,816 1,541,982 0.06 1933 ....................... NA NA NA NA 1,596,673 48,280 1,548,393 0.06 1934 ....................... NA NA NA NA 1,815,796 52,190 1,763,606 0.06 1935 ....................... NA NA NA NA 1,968,963 55,488 1,913,475 0.06 1936 ....................... 2,691,512 73,507 NA 392,528 2,225,477

209

Average values and dispersion (in parentheses)  

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

Average values and dispersion (in parentheses) Average values and dispersion (in parentheses) Base-pair Parameters --------------------------------------------------------------------------------------- Shear Stretch Stagger Buckle Propeller Opening 3DNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.77) -11.79(4.14) 0.57(2.80) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.74) -11.35(5.26) 0.63(3.05) CEHS A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.75) -11.82(4.14) 0.56(2.78) B 0.00(0.21) -0.14(0.12) 0.09(0.19) 0.53(6.73) -11.37(5.27) 0.62(3.03) CompDNA A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.12(7.70) -11.81(4.14) 0.56(2.79) B 0.00(0.21) -0.15(0.12) 0.09(0.19) 0.53(6.70) -11.37(5.26) 0.62(3.03) Curves A 0.01(0.23) -0.18(0.10) 0.02(0.25) -0.13(7.85) -11.76(4.12) 0.57(2.80)

210

A Quality Assurance System for Canadian Hourly Pressure Data  

Science Conference Proceedings (OSTI)

In this study a comprehensive quality assurance (QA) system, which includes the hydrostatic check combined with a statistical homogeneity test, is designed and applied to hourly pressure records (for 1953–2002) from 761 Canadian stations, to ...

Hui Wan; Xiaolan L. Wang; Val R. Swail

2007-11-01T23:59:59.000Z

211

Complex Quality Assurance of Historical Hourly Surface Airways Meteorological Data  

Science Conference Proceedings (OSTI)

A new complex quality assurance (QA) procedure is developed for historical hourly surface airways meteorological data, recently digitized in a U.S. government–sponsored effort that extends the digital period of record back as early as the late ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-08-01T23:59:59.000Z

212

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

213

Team Surpasses 1 Million Hours Safety Milestone | Department of Energy  

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

Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone Team Surpasses 1 Million Hours Safety Milestone October 30, 2013 - 12:00pm Addthis The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. The Separations Process Research Unit Demolition Project Safety Committee meets regularly with employees and supervisors to discuss safety issues and reinforce safe work habits. NISKAYUNA, N.Y. - Vigilance and dedication to safety led the EM program's disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours - over two-and-a-half-years - without injury or illness resulting in time away from work.

214

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

Over a Billion Supercomputing Hours to Address Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life sciences, and materials science.

215

DOE Awards Over a Billion Supercomputing Hours to Address Scientific  

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

DOE Awards Over a Billion Supercomputing Hours to Address DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges DOE Awards Over a Billion Supercomputing Hours to Address Scientific Challenges January 26, 2010 - 12:00am Addthis Washington, DC. - The U.S. Department of Energy announced today that approximately 1.6 billion supercomputing processor hours have been awarded to 69 cutting-edge research projects through the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The INCITE program provides powerful resources to enable scientists and engineers to conduct cutting-edge research in just weeks or months rather than the years or decades needed previously. This facilitates scientific breakthroughs in areas such as climate change, alternative energy, life

216

Global Solar Radiation Estimation from Relative Sunshine Hours in Italy  

Science Conference Proceedings (OSTI)

We examine the existing measurements of global solar radiation and sunshine duration for Italy, and evaluate the errors made in estimating global solar radiation from sunshine hours measurements. We find that the Ångstrom–Black linear relation in ...

A. Andretta; B. Bartoli; B. Coluzzi; V. Cuomo; M. Francesca; C. Serio

1982-10-01T23:59:59.000Z

217

Airport quotas and peak hour pricing : theory and practice  

E-Print Network (OSTI)

This report examines the leading theoretical studies not only of airport peak-hour pricing but also of the congestion costs associated with airport delays and presents a consistent formulation of both. The report also ...

Odoni, Amedeo R.

1976-01-01T23:59:59.000Z

218

An Hourly Assimilation–Forecast Cycle: The RUC  

Science Conference Proceedings (OSTI)

The Rapid Update Cycle (RUC), an operational regional analysis–forecast system among the suite of models at the National Centers for Environmental Prediction (NCEP), is distinctive in two primary aspects: its hourly assimilation cycle and its use ...

Stanley G. Benjamin; Dezsö Dévényi; Stephen S. Weygandt; Kevin J. Brundage; John M. Brown; Georg A. Grell; Dongsoo Kim; Barry E. Schwartz; Tatiana G. Smirnova; Tracy Lorraine Smith; Geoffrey S. Manikin

2004-02-01T23:59:59.000Z

219

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

Emissions from energy use in buildings are usually estimated on an annual...

220

Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

The authors introduce two ways to produce locally calibrated grid-based probabilistic forecasts of temperature. Both start from the Global Bayesian model averaging (Global BMA) statistical postprocessing method, which has constant predictive bias ...

William Kleiber; Adrian E. Raftery; Jeffrey Baars; Tilmann Gneiting; Clifford F. Mass; Eric Grimit

2011-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" 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

Geographic Gossip: Efficient Averaging for Sensor Networks  

E-Print Network (OSTI)

Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments. However, using standard gossip algorithms can lead to a significant waste in energy by repeatedly recirculating redundant information. For realistic sensor network model topologies like grids and random geometric graphs, the inefficiency of gossip schemes is related to the slow mixing times of random walks on the communication graph. We propose and analyze an alternative gossiping scheme that exploits geographic information. By utilizing geographic routing combined with a simple resampling method, we demonstrate substantial gains over previously proposed gossip protocols. For regular graphs such as the ring or grid, our algorithm improves standard gossip by factors of $n$ and $\\sqrt{n}$ respectively. For the more challenging case of random geometric graphs, our algorithm computes the true average to accuracy $\\epsilon$ using $O(\\frac{n^{1.5}}{\\sqrt{\\log ...

Dimakis, Alexandros G; Wainwright, Martin J

2007-01-01T23:59:59.000Z

222

Propane Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet), NREL (National Renewable Energy Laboratory)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Many standards development organizations (SDOs) are working to develop codes and standards needed for the utilization of alternative fuel Many standards development organizations (SDOs) are working to develop codes and standards needed for the utilization of alternative fuel vehicle technologies. This chart shows the SDOs responsible for leading the support and development of key codes and standards for propane. Propane Vehicle and Infrastructure Codes and Standards Chart Vehicle Systems Safety: Vehicle Tanks and Piping: Vehicle Components: Vehicle Dispensing Systems: Vehicle Dispensing System Components: Storage Systems: Storage Containers and Piping: Storage Container Pressure Relief Devices and Venting: Production Storage Systems: Production Process Safety: Pipelines: Building and Fire Code Requirements: Organization Name Standards Development Areas AGA American Gas Association Materials testing standards

223

Scientists meet to chart roadmap to fusion | Princeton Plasma Physics Lab  

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

Scientists meet to chart roadmap to fusion Scientists meet to chart roadmap to fusion By John Greenwald October 12, 2012 Tweet Widget Facebook Like Google Plus One The crucial next steps on the roadmap to developing fusion energy will be the focus of more than 70 top fusion scientists and engineers from around the world who will gather at the University of California-Los Angeles (UCLA) this month. The Oct. 15-18 session will kick off a series of annual workshops under the auspices of the International Atomic Energy Agency (IAEA) that will address key scientific and technological challenges facing countries developing fusion as a source of clean and abundant energy for producing electricity. "There's nothing like face-to-face talk and presentations to help people resolve common challenges," said Hutch Neilson, who directs advanced

224

Biodiesel Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet), NREL (National Renewable Energy Laboratory)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Many standards development organizations (SDOs) are working to develop codes and standards needed for the utilization of alternative fuel Many standards development organizations (SDOs) are working to develop codes and standards needed for the utilization of alternative fuel vehicle technologies. This chart shows the SDOs responsible for leading the support and development of key codes and standards for biodiesel. Biodiesel Vehicle and Infrastructure Codes and Standards Chart Vehicles Storage Dispensing Infrastructure Engine Testing: Fuel Systems: Fuel Lubricants: Powertrain Systems: Containers: Dispensing Operations: Dispensing Components: Containers: Transfer Operations: Container Components: Container Siting: Test Methods and Specifications for Fuels: Pipeline and Piping Infrastructure: Building and Fire Code Requirements: CONTROLLING AUTHORITIES: DOT/NHTS (crashworthiness) EPA (emissions) CONTROLLING AUTHORITIES:

225

Web-enabled Milestones Chart | OSTI, US Dept of Energy, Office of  

Office of Scientific and Technical Information (OSTI)

Web-enabled Milestones Chart Web-enabled Milestones Chart Over the last decade, numerous milestones have been achieved, including many "firsts" in government web search technology. Mouse over the year to view the related milestone. Web-enabled milestones pioneered by OSTI 1994 dot First DOE homepage 1997 dot First searchable full-text DOE results 1999 dot First parallel searching of databases and websites 2000 dot First searchable gateway to preprint servers around the world 2002 dot First distributed search across federal government science with Science.gov 2004 dot First relevancy ranking of government-wide science search results 2005 dot First alert services & fielded searching of government-wide science 2006 dot First spell-suggestion for government-wide science search 2007 dot First one-stop global science search

226

Interval Data Analysis with the Energy Charting and Metrics Tool (ECAM)  

SciTech Connect

Analyzing whole building interval data is an inexpensive but effective way to identify and improve building operations, and ultimately save money. Utilizing the Energy Charting and Metrics Tool (ECAM) add-in for Microsoft Excel, building operators and managers can begin implementing changes to their Building Automation System (BAS) after trending the interval data. The two data components needed for full analyses are whole building electricity consumption (kW or kWh) and outdoor air temperature (OAT). Using these two pieces of information, a series of plots and charts and be created in ECAM to monitor the buildings performance over time, gain knowledge of how the building is operating, and make adjustments to the BAS to improve efficiency and start saving money.

Taasevigen, Danny J.; Katipamula, Srinivas; Koran, William

2011-07-07T23:59:59.000Z

227

Chart Body  

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

Interaction Interaction The strong binding of color-neutral protons and neutrons to form nuclei is due to residual strong interactions between their color-charged constituents. It is similar to the residual electrical interaction which binds electrically neutral atoms to form molecules. It can also be viewed as the exchange of mesons between the hadrons. Quarks Confined in Mesons and Baryons One cannot isolate quarks and gluons; they are confined in color-neutral particles called hadrons. This confinement (binding) results from multiple exchanges of gluons among the color-charged constituents. As color-charged particles (quarks and gluons) move apart, the energy in the color force between them increases. This energy eventually is converted into additional quark-antiquark pairs. The quarks and antiquarks then combine into hadrons;

228

Organization Chart  

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

stresses energy security during Los Alamos visit U.S. Secretary of Energy Ernest Moniz said that Los Alamos and all the DOE labs have a major role in addressing two key...

229

Chart Body  

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

quark carries one of the three types of "strong charge," also called "color charge." These charges have nothing to do with the colors of visible light. There are eight possible...

230

Quark Chart  

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

Es muy difcil determinar la masa, o incluso definir qu se entiende por masa de un quark, dado que un quark no se puede aislar. sto es especialmente cierto para la...

231

Chart Body  

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

proton is 1.60 x 10-19 coulombs. The energy unit of particle physics is the electron volt (eV), the energy gained by one electron in crossing a potential difference of one volt....

232

Organization Chart  

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

spacer spacer spacer About DOE Organization News Contact Us Search Search Go spacer U.S. Department of Energy header image Science & Technology Energy Sources Energy Efficiency...

233

Chart Body  

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

Vergrsserung: Structure within an Atom Standard Model Fermions Bosons Baryons Four Interactions Mesons Neutron Beta Decay Virtual Z Hadron Events Residual Strong Antimatter...

234

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

235

Form EIA-930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT  

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

930 930 HOURLY AND DAILY BALANCING AUTHORITY OPERATIONS REPORT INSTRUCTIONS Due Date: mm/dd/yyyy Approved: OMB No. 1905-0129 Approval Expires: 10/31/2016 Burden: 0.19 hours Page 1 Draft for Discussion only PURPOSE Form EIA-930 requires Internet posting of hourly balancing authority operating data. The posted data are used to monitor the current status and trends of the electric power industry, and to support enhancement of electric system operations. REQUIRED RESPONDENTS For the contiguous United States: all entities that are listed in NERC's Compliance Registry as a balancing authority must post balancing authority operating information required by this survey. Other than the Midwest ISO (MISO), registered balancing authorities that are parties

236

INCITE Program Doles Out Hours on Supercomputers | Department of Energy  

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

INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers INCITE Program Doles Out Hours on Supercomputers November 5, 2012 - 1:30pm Addthis Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Mira, the 10-petaflop IBM Blue Gene/Q system at Argonne National Laboratory, is capable of carrying out 10 quadrillion calculations per second. Each year researchers apply to the INCITE program to get to use this machine's incredible computing power. | Photo courtesy of Argonne National Lab. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science

237

Natural Gas Vehicle and Infrastructure Codes and Standards Chart (Revised) (Fact Sheet), NREL (National Renewable Energy Laboratory)  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Natural Gas Vehicle and Infrastructure Codes and Standards Chart Natural Gas Vehicle and Infrastructure Codes and Standards Chart Many standards development organizations (SDOs) are working to develop codes and standards needed for the utilization of alternative fuel vehicle technologies. This chart shows the SDOs responsible for leading the support and development of key codes and standards for natural gas. Vehicle Safety: Vehicle Fuel Systems: Vehicle Containers: Vehicle Fuel System Components: Dispensing Component Standards: Dispensing Operations: Dispensing Vehicle Interface: Storage Containers: Storage Pressure Relief Devices: Storage System Siting: Storage and Production: Building and Fire Code Requirements: Organization Name Standards Development Areas AGA American Gas Association Materials testing standards API American Petroleum Institute

238

An evaluation of the bioclimatic chart for choosing design strategies for a thermostatically-controlled residence in selected climates  

E-Print Network (OSTI)

To be successful in sustainable building design, architects must consider energy efficient design strategies in the early design stage. Unfortunately, many architects still rely on simplified analysis, synthesis techniques, and historical examples. Although, building energy simulations are becoming more common in the design of buildings, architects rarely use simulation in the early design stage. The "Bioclimatic" charts have been used in the early design stage to define potential building design strategies to achieve indoor thermal comfort. Currently, many architects use the Givoni-Milne bioclimatic design chart (Milne and Givoni, 1979), which was developed based on principle reasoning and heuristics. There have been many attempts to develop computerized programs to further the bioclimatic analysis; however, there have been very limited efforts to test and evaluate the design strategies of the chart using simulations of a thermostatically-controlled building. Therefore, the purpose of this research is to promote comfortable buildings that reduce energy use through appropriate building design strategies. The objectives of the research are to develop a more accurate bioclimatic chart for a thermostaticallycontrolled residence by testing and evaluating the Givoni-Milne bioclimatic chart. The analysis is performed with DOE-2.1e program (Winkelmann, 1993) and TMY2 weather data (Marion and Urban, 1995) for several climates. To achieve these objectives, four main tasks were accomplished: 1) investigate the Givoni-Milne Bioclimatic Chart using representative weather data from several climates, 2) analyze and modify the design strategy boundaries using DOE-2 program and TMY2 weather data to simulate the effects of varied conditions of a thermostatically-controlled residence in different climates, 3) compare these new design strategy boundaries to the original Givoni-Milne design strategy boundaries, and 4) develop general guidelines for the new bioclimatic chart. In summary, there were some differences in the results from the Givoni-Milne bioclimatic chart and the DOE-2 simulation results. These results imply that without further modification, the G-M Chart may have only a limited use for a thermostaticallycontrolled residence. Therefore, to improve the usefulness of the bioclimatic chart the new bio-climatic chart for choosing design strategies for a thermostatically-controlled residence in the hot-humid climate of Houston, Texas, was developed. This new bioclimatic chart for a thermostatically-controlled residence will be a useful tool for architects and engineers in the early design stage. Similar versions of the new bioclimatic for other climates could then be developed.

Visitsak, Sopa

2007-12-01T23:59:59.000Z

239

An Evaluation of the Bioclimatic Chart for Choosing Design Strategies for a Thermostatically-controlled Residence in Selected Climates  

E-Print Network (OSTI)

To be successful in sustainable building design, architects must consider energy efficient design strategies in the early design stage. Unfortunately, many architects still rely on simplified analysis, synthesis techniques, and historical examples. Although, building energy simulations are becoming more common in the design of buildings, architects rarely use simulation in the early design stage. The “Bioclimatic” charts have been used in the early design stage to define potential building design strategies to achieve indoor thermal comfort. Currently, many architects use the Givoni-Milne bioclimatic design chart (Milne and Givoni, 1979), which was developed based on principle reasoning and heuristics. There have been many attempts to develop computerized programs to further the bioclimatic analysis; however, there have been very limited efforts to test and evaluate the design strategies of the chart using simulations of a thermostatically-controlled building. Therefore, the purpose of this research is to promote comfortable buildings that reduce energy use through appropriate building design strategies. The objectives of the research are to develop a more accurate bioclimatic chart for a thermostaticallycontrolled residence by testing and evaluating the Givoni-Milne bioclimatic chart. The analysis is performed with DOE-2.1e program (Winkelmann, 1993) and TMY2 weather data (Marion and Urban, 1995) for several climates. To achieve these objectives, four main tasks were accomplished: 1) investigate the Givoni-Milne Bioclimatic Chart using representative weather data from several climates, 2) analyze and modify the design strategy boundaries using DOE-2 program and TMY2 weather data to simulate the effects of varied conditions of a thermostatically-controlled residence in different climates, 3) compare these new design strategy boundaries to the original Givoni-Milne design strategy boundaries, and 4) develop general guidelines for the new bioclimatic chart. In summary, there were some differences in the results from the Givoni-Milne bioclimatic chart and the DOE-2 simulation results. These results imply that without further modification, the G-M Chart may have only a limited use for a thermostaticallycontrolled residence. Therefore, to improve the usefulness of the bioclimatic chart the new bio-climatic chart for choosing design strategies for a thermostatically-controlled residence in the hot-humid climate of Houston, Texas, was developed. This new bioclimatic chart for a thermostatically-controlled residence will be a useful tool for architects and engineers in the early design stage. Similar versions of the new bioclimatic for other climates could then be developed.

Visitsak, Sopa

2007-12-01T23:59:59.000Z

240

An evaluation of the bioclimatic chart for choosing design strategies for a thermostatically-controlled residence in selected climates  

E-Print Network (OSTI)

To be successful in sustainable building design, architects must consider energy efficient design strategies in the early design stage. Unfortunately, many architects still rely on simplified analysis, synthesis techniques, and historical examples. Although, building energy simulations are becoming more common in the design of buildings, architects rarely use simulation in the early design stage. The “Bioclimatic” charts have been used in the early design stage to define potential building design strategies to achieve indoor thermal comfort. Currently, many architects use the Givoni-Milne bioclimatic design chart (Milne and Givoni, 1979), which was developed based on principle reasoning and heuristics. There have been many attempts to develop computerized programs to further the bioclimatic analysis; however, there have been very limited efforts to test and evaluate the design strategies of the chart using simulations of a thermostatically-controlled building. Therefore, the purpose of this research is to promote comfortable buildings that reduce energy use through appropriate building design strategies. The objectives of the research are to develop a more accurate bioclimatic chart for a thermostaticallycontrolled residence by testing and evaluating the Givoni-Milne bioclimatic chart. The analysis is performed with DOE-2.1e program (Winkelmann, 1993) and TMY2 weather data (Marion and Urban, 1995) for several climates. To achieve these objectives, four main tasks were accomplished: 1) investigate the Givoni-Milne Bioclimatic Chart using representative weather data from several climates, 2) analyze and modify the design strategy boundaries using DOE-2 program and TMY2 weather data to simulate the effects of varied conditions of a thermostatically-controlled residence in different climates, 3) compare these new design strategy boundaries to the original Givoni-Milne design strategy boundaries, and 4) develop general guidelines for the new bioclimatic chart. In summary, there were some differences in the results from the Givoni-Milne bioclimatic chart and the DOE-2 simulation results. These results imply that without further modification, the G-M Chart may have only a limited use for a thermostaticallycontrolled residence. Therefore, to improve the usefulness of the bioclimatic chart the new bio-climatic chart for choosing design strategies for a thermostatically-controlled residence in the hot-humid climate of Houston, Texas, was developed. This new bioclimatic chart for a thermostatically-controlled residence will be a useful tool for architects and engineers in the early design stage. Similar versions of the new bioclimatic for other climates could then be developed.

Visitsak, Sopa

2007-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" 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

Solar: monthly and annual average direct normal (DNI) GIS data at 40km  

Open Energy Info (EERE)

49031 49031 Varnish cache server Solar: monthly and annual average direct normal (DNI) GIS data at 40km resolution for China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for 2-axis tracking concentrating collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a concentrating collector, such as a dish collector, which tracks the sun continuously. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to

242

Renewable Energies program (6 credit hour) Option A: 11  

E-Print Network (OSTI)

Renewable Energies program (6 credit hour) Option A: 11 Option B: The program is organized by t Spanish Institute and the Asso program on renewable energy will provide students with advanced knowledge. opportunities: option A- two renewable energies; option B include on-site visits to renewable energy generation

Simaan, Nabil

243

A Quality-Control Routine for Hourly Wind Observations  

Science Conference Proceedings (OSTI)

The quality of hourly wind speed and direction observations from 41 northeastern U.S. first-order weather stations is evaluated with regard to the recognition of individual observations that are either obviously in error or of suspect quality. An ...

Arthur T. DeGaetano

1997-04-01T23:59:59.000Z

244

Storing hydroelectricity to meet peak-hour demand  

Science Conference Proceedings (OSTI)

This paper reports on pumped storage plants which have become an effective way for some utility companies that derive power from hydroelectric facilities to economically store baseload energy during off-peak hours for use during peak hourly demands. According to the Electric Power Research Institute (EPRI) in Palo Alto, Calif., 36 of these plants provide approximately 20 gigawatts, or about 3 percent of U.S. generating capacity. During peak-demand periods, utilities are often stretched beyond their capacity to provide power and must therefore purchase it from neighboring utilities. Building new baseload power plants, typically nuclear or coal-fired facilities that run 24 hours per day seven days a week, is expensive, about $1500 per kilowatt, according to Robert Schainker, program manager for energy storage at the EPRI. Schainker the that building peaking plants at $400 per kilowatt, which run a few hours a day on gas or oil fuel, is less costly than building baseload plants. Operating them, however, is more expensive because peaking plants are less efficient that baseload plants.

Valenti, M.

1992-04-01T23:59:59.000Z

245

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

246

On the String Averaging Method for Sparse Common Fixed Points ...  

E-Print Network (OSTI)

Jul 10, 2008 ... gate a string-averaging algorithmic scheme that favorably handles the ... are special cases of the string-averaging and of the BIP algorithmic ...

247

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

248

Average summer gasoline prices expected to be slightly lower ...  

U.S. Energy Information Administration (EIA)

The retail price for regular gasoline is expected to average $3.63 per gallon during this summer driving season, slightly below average prices over ...

249

Table 5B. Commercial average monthly bill by census division...  

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

" Census Division " " State ","Number of Consumers "," Average Monthly Consumption (kWh)","Price (Cents per Kilowatthour)","Average Monthly Bill (Dollar and cents)" "New...

250

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems  

Science Conference Proceedings (OSTI)

The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)

Widen, Joakim; Waeckelgaard, Ewa [Department of Engineering Sciences, The Aangstroem Laboratory, Uppsala University, P.O. Box 534, SE-751 21 Uppsala (Sweden); Paatero, Jukka; Lund, Peter [Advanced Energy Systems, Helsinki University of Technology, P.O. Box 2200, FI-02015 HUT (Finland)

2010-03-15T23:59:59.000Z

251

Table 15. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Average Electricity Prices, Projected vs. Actual Average Electricity Prices, Projected vs. Actual (nominal cents per kilowatt-hour) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.38 6.96 7.63 8.23 8.83 9.49 AEO 1983 6.85 7.28 7.74 8.22 8.68 9.18 13.12 AEO 1984 6.67 7.05 7.48 7.89 8.25 8.65 11.53 AEO 1985 6.62 6.94 7.32 7.63 7.89 8.15 8.46 8.85 9.20 9.61 10.04 AEO 1986 6.67 6.88 7.05 7.18 7.35 7.52 7.65 7.87 8.31 8.83 9.41 10.01 10.61 11.33 12.02 AEO 1987 6.63 6.65 6.92 7.12 7.38 7.62 7.94 8.36 8.86 11.99 AEO 1989* 6.50 6.75 7.14 7.48 7.82 8.11 8.50 8.91 9.39 9.91 10.49 11.05 11.61 AEO 1990 6.49 6.72 8.40 10.99 14.5 AEO 1991 6.94 7.31 7.59 7.82 8.18 8.38 8.54 8.73 8.99 9.38 9.83 10.29 10.83 11.36 11.94 12.58 13.21 13.88 14.58 15.21 AEO 1992 6.97 7.16 7.32 7.56 7.78 8.04 8.29 8.57 8.93 9.38 9.82 10.26 10.73 11.25 11.83 12.37 12.96 13.58 14.23 AEO 1993

252

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Mexico, Central America, and the Caribbean Islands from NREL Mexico, Central America, and the Caribbean Islands from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate

253

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for Ethiopia. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the

254

Solar: monthly and annual average global horizontal (GHI) GIS data at 40km  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly average solar resource for horizontal flat-plate collectors for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations are used to validate the data where possible. The modeled values are accurate to approximately 10% of a true measured value within the grid cell due to the uncertainties associated with meteorological input to the model. The local cloud cover can vary significantly even within a single grid cell as a result of terrain effects and other microclimate influences. Furthermore, the uncertainty of the modeled estimates increase with distance from reliable measurement sources and with the complexity of the terrain.

255

Solar: monthly and annual average latitude tilt GIS data at 40km resolution  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Monthly Average Solar Resource for flat-plate collectors tilted at latitude for China. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented due south at an angle from horizontal equal to the latitude of the collector location. (Supplemental Information): These data provide monthly average and annual average daily total solar resource averaged over surface cells of approximately 40 km by 40 km in size. The solar resource value is represented as watt-hours per square meter per day for each month. The data were developed from NREL's Climatological Solar Radiation (CSR) Model. This model uses information on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and sky) falling on a horizontal surface. Existing ground measurement stations

256

Texas Gulf Coast Refinery District API Gravity (Weighted Average ...  

U.S. Energy Information Administration (EIA)

Texas Gulf Coast Refinery District API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degree)

257

CONTROL CHART DASHBOARDS MANAGING YOUR NUMBERS INSTEAD OF YOU NUMBER MANAGING YOU  

Science Conference Proceedings (OSTI)

This paper, which documents Fluor Hanford's application of Statistical Process Control (SPC) and Dashboards to support planning and decision making, is a sequel to ''Leading with Leading Indicators'' that was presented at WM 05. This year's paper provides more detail on management's use of SPC and control charts and discusses their integration into an executive summary using the popular color-cod3ed dashboard methodology. Fluor Hanford has applied SPC in a non-traditional (that is non-manufacturing) manner. Dr. Shewhart's 75-year-old control-chart methodologies have been updated to modern data processing, but are still founded on his sound, tried and true principles. These methods are playing a key role in safety and quality at what has been called the world's largest environmental cleanup project. The US Department of Energy's (DOE's) Hanford Site played a pivotal role in the nation's defense, beginning in the 1940s when it was established as part of the Manhattan Project. After more than 50 years of producing nuclear weapons, Hanford--which covers 586 square miles in southeastern Washington state--is now focused on three outcomes: (1) restoring the Columbia River corridor for multiple uses; (2) transitioning the central plateau to support long-term waste management; and (3) putting DOE assets to work for the future.

PREVETTE, S.S.

2006-11-15T23:59:59.000Z

258

Amp-hour counting control for PV hybrid power systems  

SciTech Connect

The performance of an amp-hour (Ah) counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based PV hybrid charge controller. This work included extensive field testing of the charge algorithm on flooded lead-antimony and valve regulated lead-acid (VRLA) batteries. The test results after one-year have demonstrated that PV charge utilization, battery charge control, and battery state of charge (SOC) has been significantly improved by providing maximum charge to the batteries while limiting battery overcharge to manufacturers specifications during variable solar resource and load periods.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-06-01T23:59:59.000Z

259

Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average  

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

8: July 12, 2004 8: July 12, 2004 Expected Average Annual Miles to someone by E-mail Share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Facebook Tweet about Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Twitter Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Google Bookmark Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Delicious Rank Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on Digg Find More places to share Vehicle Technologies Office: Fact #328: July 12, 2004 Expected Average Annual Miles on AddThis.com... Fact #328: July 12, 2004 Expected Average Annual Miles Twenty-five percent of the respondents to a nationwide survey said that

260

Vehicle Technologies Office: Fact #536: September 15, 2008 Average...  

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

6: September 15, 2008 Average Used Car Prices Up and Used Light Truck Prices Down to someone by E-mail Share Vehicle Technologies Office: Fact 536: September 15, 2008 Average Used...

Note: This page contains sample records for the topic "average hourly charts" 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

Vehicle Technologies Office: Fact #517: May 5, 2008 State Average...  

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

7: May 5, 2008 State Average Gasoline Prices, April 18, 2008 to someone by E-mail Share Vehicle Technologies Office: Fact 517: May 5, 2008 State Average Gasoline Prices, April 18,...

262

Vehicle Technologies Office: Fact #87: May 4, 1999 Average Annual...  

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

7: May 4, 1999 Average Annual Miles per Vehicle by Vehicle Type and Age to someone by E-mail Share Vehicle Technologies Office: Fact 87: May 4, 1999 Average Annual Miles per...

263

Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical way of postprocessing forecast ensembles to create predictive probability density functions (PDFs) for weather quantities. It represents the predictive PDF as a weighted average of PDFs centered on ...

J. Mc Lean Sloughter; Adrian E. Raftery; Tilmann Gneiting; Chris Fraley

2007-09-01T23:59:59.000Z

264

Vehicle Technologies Office: Fact #744: September 10, 2012 Average...  

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

4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price to someone by E-mail Share Vehicle Technologies Office: Fact 744:...

265

Improving Wind Profiler–Measured Winds Using Coplanar Spectral Averaging  

Science Conference Proceedings (OSTI)

A method is presented that increases the detectability of weak clear-air signals by averaging Doppler spectra from coplanar wind profiler beams. The method, called coplanar spectral averaging (CSA), is applied to both simulated wind profiler ...

Robert Schafer; Susan K. Avery; Kenneth S. Gage; Paul E. Johnston; D. A. Carter

2004-11-01T23:59:59.000Z

266

On Lateral Dispersion Coefficients as Functions of Averaging Time  

Science Conference Proceedings (OSTI)

Plume dispersion coefficients are discussed in terms of single-particle and relative diffusion, and are investigated as functions of averaging time. To demonstrate the effects of averaging time on the relative importance of various dispersion ...

C. M. Sheih

1980-05-01T23:59:59.000Z

267

Vorticity Dynamics and Zonally Averaged Ocean Circulation Models  

Science Conference Proceedings (OSTI)

Diagnostic equations relating the zonally averaged overturning circulation to north–south density variations are derived and used to determine a new closure scheme for use in zonally averaged ocean models. The presentation clarifies the dynamical ...

Daniel G. Wright; Cornelis B. Vreugdenhil; Tertia M. C. Hughes

1995-09-01T23:59:59.000Z

268

Small scale ethanol production: design manual. [10 to 15 gallons per hour  

DOE Green Energy (OSTI)

The purpose of the project was to design, fabricate, and evaluate a small scale continuous ethanol plant. The scope of the study was to satisfy four specific objectives. The first objective was to design a small scale continuous distillation unit capable of producing 10 to 15 gallons per hour of 170 to 190 proof ethanol. A second objective was to economically fabricate the distillation unit. A third objective was to thoroughly evaluate the unit with emphasis on production potential, operation considerations, and energy balance. The fourth objective was to work with the Farm Bureau in identifying an organization that would place the unit in a production environment. The results of the study indicate that the distillation unit is capable of producing and average of 9 to 14 gallons per hour (based on alcohol percent in beer) of 174 proof ethanol. The energy ratio for distillation is a positive 3:1. Once the unit has reached steady state very little operator attention is required with the exception of periodically refluxing. Material cost of the plate column is approximately $5000. The unit could be built by an individual provided he is trained in welding and has the necessary shop equipment. 39 figures, 12 tables.

Adcock, L.E. II; Eley, M.H.; Schroer, B.J.

1981-09-01T23:59:59.000Z

269

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

270

Maryland Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States

271

Optimization Online - "Block-Iterative and String-Averaging ...  

E-Print Network (OSTI)

Jul 19, 2009 ... Optimization Online. "Block-Iterative and String-Averaging Projection Algorithms in Proton Computed Tomography Image Reconstruction".

272

Table 4. Average retail price for bundled and unbundled consumers ...  

U.S. Energy Information Administration (EIA)

Table 4. Average retail price for bundled and unbundled consumers by sector, Census Division, and State 2011

273

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Kenya from NREL Kenya from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

274

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

China from NREL China from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

275

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Bangladesh stations from NREL Bangladesh stations from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

276

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba from NREL Cuba from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

277

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nepal from NREL Nepal from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a location, if enough years of data are present. The TMY consists of months selected from individual years and concatenated to form a complete year.. Because of the selection criteria, these TMYs are not appropriate for simulations of wind energy conversion systems. A TMY provides a standard for hourly data for solar radiation and other meteorological elements that permit performance comparisons of system types and configurations for one or more locations. A TMY is not necessarily a good indicator of conditions over the next year, or even the next 5 years. Rather, it represents conditions judged to be typical over a long period of time, such as 30 years.

278

Folding Proteins at 500 ns/hour with Work Queue  

E-Print Network (OSTI)

Abstract—Molecular modeling is a field that traditionally has large computational costs. Until recently, most simulation techniques relied on long trajectories, which inherently have poor scalability. A new class of methods is proposed that requires only a large number of short calculations, and for which minimal communication between computer nodes is required. We considered one of the more accurate variants called Accelerated Weighted Ensemble Dynamics (AWE) and for which distributed computing can be made efficient. We implemented AWE using the Work Queue framework for task management and applied it to an all atom protein model (Fip35 WW domain). We can run with excellent scalability by simultaneously utilizing heterogeneous resources from multiple computing platforms such as clouds (Amazon EC2, Microsoft Azure), dedicated clusters, grids, on multiple architectures (CPU/GPU, 32/64bit), and in a dynamic environment in which processes are regularly added or removed from the pool. This has allowed us to achieve an aggregate sampling rate of over 500 ns/hour. As a comparison, a single process typically achieves 0.1 ns/hour. I.

Badi Abdul-wahid; Li Yu; Dinesh Rajan

2012-01-01T23:59:59.000Z

279

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ghana from NREL Ghana from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

280

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Sri Lanka from NREL Sri Lanka from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

Note: This page contains sample records for the topic "average hourly charts" 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

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

El Salvador sites from SUNY El Salvador sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

282

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Ethiopia from NREL Ethiopia from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

283

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Honduras from SUNY Honduras from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

284

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Brazil from NREL Brazil from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

285

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Nicaragua from SUNY Nicaragua from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

286

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Central America from NREL Central America from NREL Dataset Summary Description (Abstract): Each data file is a set of hourly values of solar radiation and meteorological elements for a 1-year period. Solar radiation is modeled using the NREL METSTAT model, with surface observed cloud cover being the principal model input. Each container file contains up to 30 yearly files for one station, plus the Typical Meteorological Year (TMY) file for the selected station, plus documentation files and a TMY data reader file for use with Microsoft Excel. (Purpose): Simulations (Supplemental Information): The intended use of these data files is for computer simulations of solar energy conversion systems and building systems. The yearly data may be suitable for designing systems and their components to meet the worst-case conditions occurring at a

287

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Guatemala from SUNY Guatemala from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

288

Solar: hourly solar (direct normal (DNI), global horizontal (GHI), and  

Open Energy Info (EERE)

Cuba sites from SUNY Cuba sites from SUNY Dataset Summary Description (Abstract): Zip file contains year-site specific files including time series of global, direct and diffuse irradiance (Purpose): The time series are useful for performing site specific simulation of customized solar energy systems (Supplemental Information): Each file's name identifies year and location, by listing Country_City_latitude-longitude_year, e.g., EL_SALVADOR_San_Salvador_13.75-89.15_98.out is for the city of San Salvador, in El Salvador, latitude 13.75 degrees, longitude -89.15 degrees, year 1998. The content of each file includes A one line header, listing latitude, longitude and ground elevation in meters,Hourly records including, year, month, day, time (GMT), global irradiance, direct irradiance and

289

What do hourly performance data on a building tell us  

DOE Green Energy (OSTI)

Hourly performance data on a building contain valuable information on the dynamics of the building and of the HVAC systems. Quantities such as the building loss coefficient, solar gains, and the net effect of thermal masses and their couplings are all contained in the data. The building element vector analysis (BEVA) method has been applied to a multizone residential passive solar building monitored under the SERI Class B program. Using short-term data (approximately one week), the building parameters were regressed. With these as inputs, the subsequent performance of the building was well predicted. Using performance data for the period February 3-9, 1982, the building vectors were obtained by regression. The resulting best fit for the zone temperature is given. These parameters were used to predict the temperature for the period February 10-14. The resulting values are also plotted along with the outdoor temperature, solar radiation on a south vertical surface, and auxiliary energy for these periods.

Subbarao, K.

1984-11-01T23:59:59.000Z

290

Accuracy Assessments of Geographical Line Data Sets, the Case of the Digital Chart of the World  

E-Print Network (OSTI)

To be able to utilise geographical data for analysis, one should know something about the quality of the data. In present geographical data standardisation proposals (SDTS, CEN TC287), several aspects of geographical data quality have been described, such as lineage (data collection and processing history), spatial accuracy, attribute accuracy, completeness, logical consistency and currency. Methods for quantitative assessments of different aspects of spatial accuracy for data sets of linear geographical features, such as shape fidelity and positional accuracy are described. For these assessments, independent data sets of better (and preferrably known) accuracy will have to be used. In order to be able to do automatic assessments, data set completeness must be taken into consideration. The method has been applied for assessing the spatial accuracy for some themes of the Digital Chart of the World (DCW) (scale of original maps (ONCs): 1:1000000), using the Norwegian mapping authority's ...

Håvard Tveite; Sindre Langaas

1995-01-01T23:59:59.000Z

291

Literature Review of Uncertainty of Analysis Methods (F-Chart Program), Report to the Texas Commission on Environmental Quality  

E-Print Network (OSTI)

This literature review covers the F-Chart program, which is one of the legacy programs in the ESL’s Emissions Calculator (eCALC), a web-based emissions reductions calculator. The eCALC program is a tool for those who want to see how their energy savings has reduced NOx emissions, a by-product made during the burning of fossil fuels. This report includes a brief history of the F-Chart method, its applications, accuracies, basic equations, and an example calculation.

Haberl, J. S.; Cho, S.

2004-01-01T23:59:59.000Z

292

Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material  

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

0: March 8, 2004 0: March 8, 2004 Average Material Consumption for a Domestic Automobile to someone by E-mail Share Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Facebook Tweet about Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Twitter Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Google Bookmark Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Delicious Rank Vehicle Technologies Office: Fact #310: March 8, 2004 Average Material Consumption for a Domestic Automobile on Digg Find More places to share Vehicle Technologies Office: Fact #310:

293

Average Interest Rate for Treasury Securities | Data.gov  

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

Average Interest Rate for Treasury Securities Average Interest Rate for Treasury Securities Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov » Communities » Consumer » Data Average Interest Rate for Treasury Securities Dataset Summary Description This dataset shows the average interest rates for U.S Treasury securities for the most recent month compared with the same month of the previous year. The data is broken down by the various marketable and non-marketable securities. The summary page for the data provides links for monthly reports from 2001 through the current year. Average Interest Rates are calculated on the total unmatured interest-bearing debt. The average interest rates for total marketable, total non-marketable and total interest-bearing debt do not include the U.S. Treasury Inflation-Protected Securities.

294

Orbit-averaged guiding-center Fokker-Planck operator  

Science Conference Proceedings (OSTI)

A general orbit-averaged guiding-center Fokker-Planck operator suitable for the numerical analysis of transport processes in axisymmetric magnetized plasmas is presented. The orbit-averaged guiding-center operator describes transport processes in a three-dimensional guiding-center invariant space: the orbit-averaged magnetic-flux invariant {psi}, the minimum-B pitch-angle coordinate {xi}{sub 0}, and the momentum magnitude p.

Brizard, A. J. [Department of Chemistry and Physics, Saint Michael's College, Colchester, Vermont 05439 (United States); Decker, J.; Peysson, Y.; Duthoit, F.-X. [CEA, IRFM, Saint-Paul-lez-Durance F-13108 (France)

2009-10-15T23:59:59.000Z

295

Average Depth of Crude Oil and Natural Gas Wells  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Average depth may ...

296

,"Selected National Average Natural Gas Prices"  

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

Selected National Average Natural Gas Prices" Selected National Average Natural Gas Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Average Natural Gas Prices",11,"Monthly","11/2013","1/15/1973" ,"Data 2","Annual Average Natural Gas Prices",11,"Annual",2012,"6/30/1922" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm03vmall.xls" ,"Available from Web Page:","http://www.eia.gov/oil_gas/natural_gas/data_publications/natural_gas_monthly/ngm.html"

297

Table AP7. Average Expenditures for Home Appliances and Lighting ...  

U.S. Energy Information Administration (EIA)

A household is assigned to a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station.

298

Electric Sales, Revenue, and Average Price 2011 - Energy Information...  

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

All Electricity Reports Electric Sales, Revenue, and Average Price With Data for 2011 | Release Date: September 27, 2012 | Next Release Date: September, 2013 Previous editions...

299

Chapter 5. Retail Sales, Revenue, and Average Retail Price of ...  

U.S. Energy Information Administration (EIA)

106 U.S. Energy Information Administration/Electric Power Monthly June 2012 Chapter 5. Retail Sales, Revenue, and Average Retail Price of Electricity

300

Average wholesale electric power prices rose in 2010 - Today in ...  

U.S. Energy Information Administration (EIA)

Average wholesale electric power prices rose in 2010, due to higher national natural gas prices and increased demand for electricity, particularly in the Eastern ...

Note: This page contains sample records for the topic "average hourly charts" 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

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Class of Ownership, Number of Consumers, Sales, Revenue, and Average Retail Price for Power Marketers and Energy Service Providers by State: T12:

302

Today in Energy - Average wholesale natural gas prices mostly ...  

U.S. Energy Information Administration (EIA)

Average spot natural gas prices, which reflect the wholesale price of natural gas at major trading points, generally declined in most U.S. regional markets about 7% ...

303

Ohio Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

304

Average prices for spot sulfur dioxide emissions allowances at ...  

U.S. Energy Information Administration (EIA)

The weighted average spot price for sulfur dioxide (SO 2) emissions allowances awarded to winning bidders at Environmental Protection Agency's (EPA) annual auction on ...

305

Climate: monthly and annual average relative humidity GIS data...  

Open Energy Info (EERE)

Climate: monthly and annual average relative humidity GIS data at one-degree resolution of the World from NASASSE

(Abstract):  
Relative Humidity at 10 m...

306

Pennsylvania Average Price of Natural Gas Delivered to Residential ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

307

District of Columbia Average Price of Natural Gas Delivered to ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

308

Michigan Average Price of Natural Gas Delivered to Residential and ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per Thousand Cubic Feet ...

309

,"U.S. Natural Gas Average Annual Consumption per Commercial...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Average Annual Consumption per Commercial Consumer (Mcf)",1,"Annual",2011...

310

,"U.S. Natural Gas Average Annual Consumption per Industrial...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Average Annual Consumption per Industrial Consumer (Mcf)",1,"Annual",2011...

311

2012 Brief: Average wholesale electricity prices down compared ...  

U.S. Energy Information Administration (EIA)

2012 Brief: Average wholesale electricity prices down compared to last year. ... wholesale electric power prices often trend together with natural gas prices.

312

Average wholesale spot natural gas prices rose across the country ...  

U.S. Energy Information Administration (EIA)

Wholesale spot natural gas prices rose across the country in 2010. Average spot natural gas prices at the Henry Hub—a key benchmark location for pricing throughout ...

313

Figure 34. Ratio of average per megawatthour fuel costs ...  

U.S. Energy Information Administration (EIA)

Title: Figure 34. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the RFC west ...

314

EIA Renewable Energy- Average Energy Conversion Efficiency of ...  

U.S. Energy Information Administration (EIA)

Renewables and Alternate Fuels > Solar Photovoltaic Cell/Module Annual Report > Annual Shipments of Photovoltaic Cells and Modules by Source: Average Energy ...

315

Solar: monthly and annual average global horizontal (GHI) GIS...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

316

Solar: monthly and annual average direct normal (DNI), global...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

317

Solar: monthly and annual average direct normal (DNI) GIS data...  

Open Energy Info (EERE)

on cloud cover, atmospheric water vapor and trace gases, and the amount of aerosols in the atmosphere to calculate the monthly average daily total insolation (sun and...

318

New York Average Price of Natural Gas Delivered to Residential ...  

U.S. Energy Information Administration (EIA)

Average Price of Natural Gas Delivered to Residential and Commercial Consumers by Local Distribution and Marketers in Selected States (Dollars per ...

319

Refer to the Introduction pages for an explanation of the benefit plan charts. Page 1May 12, 2011  

E-Print Network (OSTI)

the EOC for your plan. Health Net HMO Plan Chart (NG) Plan 5KC 5KC 7/1/2011 PROFESSIONAL SERVICES Visit-preventive services. For preventive services, refer to periodic health evaluations above. $20 Physician visit-ray and laboratory procedures. Preventive x-ray/lab, refer to periodic health evaluations above. $0 Rehabilitation

Mullins, Dyche

320

Nuclear Science--A Guide to the Nuclear Science Wall Chart 2003 Contemporary Physics Education Project (CPEP)  

E-Print Network (OSTI)

Nuclear Science--A Guide to the Nuclear Science Wall Chart ©2003 Contemporary Physics Education Project (CPEP) 7-1 Chapter 7 Nuclear Reactions Nuclear reactions and nuclear scattering are used, protons, alphas, or "heavy ions"), creates these reactions when they strike a target nucleus. Nuclear

Note: This page contains sample records for the topic "average hourly charts" 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

Variation in Nimbus-7 Cloud Estimates. Part I: Zonal Averages  

Science Conference Proceedings (OSTI)

Zonal averages of low, middle and total cloud amount estimates derived from measurements from Nimbus-7 have been analyzed for the six-year period April 1979 through March 1985. The globally and zonally averaged values of six-year annual means and ...

Bryan C. Weare

1992-12-01T23:59:59.000Z

322

Carbon Tax and 100% Dividend No Alligator Shoes! The charts for my talk (Climate Threat to the Planet: Implications for Energy Policy) on 3  

E-Print Network (OSTI)

Carbon Tax and 100% Dividend ­ No Alligator Shoes! The charts for my talk (Climate ThreatPACON_20080603.ppt The "Carbon Tax and 100% Dividend" chart warrants discussion. Tax and dividend is the policy complement that must accompany recognition of fossil carbon reservoir sizes for strategic solution of global

Hansen, James E.

323

Interface between land and water,shoreline change analyses for erosion/accretion,hazards,planning Derived from coastal survey maps,nautical charts,aerial photos,LIDAR  

E-Print Network (OSTI)

/accretion,hazards,planning Derived from coastal survey maps,nautical charts,aerial photos,LIDAR Linear features Can be animated survey maps/charts,legal definitions,clipping/masking;various measuring devices Linear and polygonal:10,000 to 1:24,000;locational accuracy ~10-50 m Point and line symbology annotated with species type Survey

Wright, Dawn Jeannine

324

Long-run marginal costs lower than average costs  

SciTech Connect

The thesis of this article is that the long-run marginal costs of electricity are not always greater than the present average costs, as is often assumed. As long as short-run costs decrease with new plant additions, the long-run marginal cost is less than long-run average cost. When average costs increase with new additions, long-run marginal costs are greater than long-run average costs. The long-run marginal costs of a particular utility may be less than, equal to, or greater than its long-run average costs - even with inflation present. The way to determine which condition holds for a given utility is to estimate costs under various combinations of assumptions: probable load growth, zero load growth, and load growth greater than expected; and changes in load factor with attendant costs. Utilities that can demonstrate long-run marginal costs lower than long-run average costs should be encouraged to build plant and increase load, for the resulting productivity gains and slowing of inflation. Utilities that face long-run marginal costs greater than long-run average costs should discourage growth in sales through any available means.

Hunter, S.R.

1980-01-03T23:59:59.000Z

325

Fusion Education Project Home Page: http://FusEdWeb.pppl.gov/CPEP/Chart.html  

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

Informazioni su Ricerche in Corso e Materiale Divulgativo sulla Fusione in Internet Informazioni su Ricerche in Corso e Materiale Divulgativo sulla Fusione in Internet (World Wide Web) Fusion Education Project Home Page: http://FusEdWeb.pppl.gov/CPEP/Chart.html CPEP Home Page: http://pdg.lbl.gov/cpep.html CPEP Product Information: http://pdg.lbl.gov/cpep/cpep_how_to_order.html ENEA home page http://www.enea.it CRPP home page http://www.epfl.ch/crpp/ o http://crppwww.epfl.ch : TEC-Homepages FZJ/IPP Juelich: http://www.fz-juelich.de/ipp/ ERM-KMS Brussels: http://fusion.rma.ac.be/ FOM Rijnhuizen: http://www.rijnh.nl/ Tramite i siti indicati, si possono ottenere altri indirizzi di interesse. Le reazioni di fusione liberano l'energia che ali- menta il sole e le altre stelle. Affinche il rilascio di ener- gia sia rilevante, cioè vi sia un numero di reazioni suf-

326

Nuclear Science-A Guide to the Nuclear Science Wall Chart  

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

The proton distribution can be characterized by an average radius. It is found that nuclear radii range from 1-10 10 -15 m. This radius is much smaller than that of the atom,...

327

Figure 33. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 33. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in the SERC southeast ...

328

Figure 27. Ratio of average per megawatthour fuel costs for ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 27. Ratio of average per megawatthour fuel costs for natural gas combined-cycle plants to coal-fired steam turbines in five cases, 2008-2040

329

ARM - Evaluation Product - Average of Cloud Condensation Nuclei...  

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

are averaged together. The %ss in the CCN data stream is calculated using a heat transfer and fluid dynamics model flow model (Lance et al., 2006). The model uses the...

330

Virginia Average Price of Natural Gas Delivered to Residential...  

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

10.34 9.79 11.62 14.97 NA 20.70 1989-2013 Commercial Average Price 8.35 8.21 9.11 9.52 9.96 10.36...

331

New York Average Price of Natural Gas Delivered to Residential...  

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

94 11.57 12.82 15.94 18.40 18.73 1989-2013 Commercial Average Price 8.38 8.32 8.27 8.38 7.91 6.66...

332

Maryland Average Price of Natural Gas Delivered to Residential...  

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

0.35 10.04 12.02 15.43 17.45 16.48 1989-2013 Commercial Average Price 9.03 9.30 10.67 11.84 12.79 NA...

333

annual average heating degree days | OpenEI  

Open Energy Info (EERE)

average heating degree days average heating degree days Dataset Summary Description (Abstract): Heating Degree Days below 18° C (degree days)The monthly accumulation of degrees when the daily mean temperature is below 18° C.NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly Average & Annual Sum (July 1983 - June 2005)Parameter: Heating Degree Days Below 18 degrees C (degree days)Internet: http://eosweb.larc.nasa.gov/sse/ Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords annual average heating degree days climate GIS NASA SWERA UNEP Data application/zip icon Download Shapefile (zip, 2.7 MiB)

334

Average Diurnal Variation of Summer Lightning over the Floirida Peninsula  

Science Conference Proceedings (OSTI)

Data derived from a large network of electric field mills have been used to determine the average diurnal variation of lightning in a Florida seacoast environment. These data were obtained at the NASA Kennedy Space Center (KSC) and the Cape ...

Launa M. Maier; E. Philip Krider; Michael W. Maier

1984-06-01T23:59:59.000Z

335

2012 Brief: Average wholesale electricity prices down compared to ...  

U.S. Energy Information Administration (EIA)

Average, on-peak (weekdays from 7:00 a.m. to 11:00 p.m.) day-ahead electricity prices were lower across the entire United States in 2012 compared to 2011.

336

Does anyone have access to 2012 average residential rates by...  

Open Energy Info (EERE)

Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility...

337

Exact Averaging of Atmospheric State and Flow Variables  

Science Conference Proceedings (OSTI)

A new set of averaging rules is put forward that exactly determines the means of air temperature, mixing ratio, and velocity by incorporating weighting factors in accordance with physical conservation laws. For the temperature and velocity, ...

Andrew S. Kowalski

2012-05-01T23:59:59.000Z

338

Figure 88. Annual average Henry Hub spot prices for natural ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 88. Annual average Henry Hub spot prices for natural gas in five cases, 1990-2040 (2011 dollars per million Btu) Reference

339

Figure 86. Annual average Henry Hub spot natural gas prices ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 86. Annual average Henry Hub spot natural gas prices, 1990-2040 (2011 dollars per million Btu) Henry Hub Spot Price 1990.00

340

Using Bayesian Model Averaging to Calibrate Forecast Ensembles  

Science Conference Proceedings (OSTI)

Ensembles used for probabilistic weather forecasting often exhibit a spread-error correlation, but they tend to be underdispersive. This paper proposes a statistical method for postprocessing ensembles based on Bayesian model averaging (BMA), ...

Adrian E. Raftery; Tilmann Gneiting; Fadoua Balabdaoui; Michael Polakowski

2005-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" 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

Pennsylvania Average Price of Natural Gas Delivered to Residential...  

Gasoline and Diesel Fuel Update (EIA)

7 10.55 11.24 13.80 16.87 19.85 1989-2013 Commercial Average Price 9.51 9.87 10.27 11.46 12.38 12.89...

342

Semi-supervised training for the averaged perceptron POS tagger  

Science Conference Proceedings (OSTI)

This paper describes POS tagging experiments with semi-supervised training as an extension to the (supervised) averaged perceptron algorithm, first introduced for this task by (Collins, 2002). Experiments with an iterative training on standard-sized ...

Drahomíra "johanka" Spoustová; Jan Haji?; Jan Raab; Miroslav Spousta

2009-03-01T23:59:59.000Z

343

A Statistical Averaging Method for Wind Profiler Doppler Spectra  

Science Conference Proceedings (OSTI)

A new method is presented for Doppler spectral averaging that more reliably identifies the profiler radar return from clear air in the presence of contamination—for example, from migrating bird echoes. These very sensitive radars profile the wind ...

David A. Merritt

1995-10-01T23:59:59.000Z

344

The averaged control system of fast oscillating control systems  

E-Print Network (OSTI)

For control systems that either have an explicit periodic dependence on time or have periodic solutions and small controls, we define an average control system that takes into account all possible variations of the control, and prove that its solutions approximate all solutions of the oscillating systems as oscillations go faster. The dimension of its velocity set is characterised geomtrically. When it is maximum the average system defines a Finsler metric, unfortunately not twice differntiable in general. Under particular assumptions, valid for the control two body system, this Finsler metric generates a Hamiltonian flow on the cotangent bundle. For minimum time control, this average system proves that averaging the Hamiltonian given by the maximum principle is a valid approximation.

Bombrun, Alex

2011-01-01T23:59:59.000Z

345

Implication of Spatial Averaging in Complex-Terrain Wind Studies  

Science Conference Proceedings (OSTI)

Studies of wind over complex terrain have been conducted at three times and two locations in Northern California. Instrumentation included conventional cup-vane anemometers and optical anemometers with spatial averaging over path lengths of 0.6-1 ...

W. M. Porch

1982-09-01T23:59:59.000Z

346

Vehicle Technologies Office: Fact #638: August 30, 2010 Average...  

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

8: August 30, 2010 Average Expenditure for a New Car Declines in Relation to Family Earnings to someone by E-mail Share Vehicle Technologies Office: Fact 638: August 30, 2010...

347

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

2001-2010 are Excel zipped files & 1994-2000 are PDF files ... and Average Retail Price for Power Marketers and ... U.S. Department of Energy USA.gov FedStats.

348

U.S. Natural Gas Average Consumption per Commercial Consumer...  

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

Commercial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

349

Solar: monthly and annual average global horizontal irradiance...  

Open Energy Info (EERE)

b>  
Global Horizontal Irradiance
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

350

Solar: monthly and annual average direct normal irradiance GIS...  

Open Energy Info (EERE)

>  
Direct Normal Irradiance (kWhm2day)
NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)
22-year Monthly & Annual Average...

351

Benthic Boundary-Layer Velocity Profiles: Dependence on Averaging Period  

Science Conference Proceedings (OSTI)

The relationship between benthic boundary-layer velocity profiles and current meter averaging time is investigated using detailed (0.61 Hz) current measurements recorded within 1 m of the bottom on the inner continental shelf. The percentage of ...

Barry M. Lesht

1980-06-01T23:59:59.000Z

352

Average utilization of the nation's natural gas combined-cycle ...  

U.S. Energy Information Administration (EIA)

... (purple line) and 2010 (red line) average capacity factors for natural gas plant operations between 10 p.m. and 6 a.m. rose from 26% to 32%.

353

STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL  

E-Print Network (OSTI)

there is more than one level of floor, wall, or ceiling insulation in a building, or more than one type of a building feature, material, or construction assembly occur in a building, a weighted average

354

Solar: monthly and annual average latitude tilt irradiance GIS...  

Open Energy Info (EERE)

& Annual Average (July 1983 - June 2005)
Parameter: Latitude Tilt Radiation (kWhm2day)
Internet: http:eosweb.larc.nasa.govsse
Note 1:...

355

Some Considerations Relevant to Computing Average Hemispheric Temperature Anomalies  

Science Conference Proceedings (OSTI)

Three data bases of gridded surface temperature anomalies were used to assess the sensitivity of the average estimated Northern Hemisphere (NH) temperature anomaly to: 1) extreme gridpoint values and 2) zonal band contributions. Over the last 100 ...

S. L. Grotch

1987-07-01T23:59:59.000Z

356

New Mexico Natural Gas Average Consumption per Industrial Consumer...  

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

Industrial Consumer (Thousand Cubic Feet) New Mexico Natural Gas Average Consumption per Industrial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

357

New Mexico Natural Gas Average Consumption per Commercial Consumer...  

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

Commercial Consumer (Thousand Cubic Feet) New Mexico Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

358

Table A44. Average Prices of Purchased Electricity and Steam  

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

4. Average Prices of Purchased Electricity and Steam" 4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

359

Estimating Hourly All-Sky Solar Irradiation Components from Meteorological Data  

Science Conference Proceedings (OSTI)

A new method to calculate hourly direct beam and diffuse irradiation on a horizontal surface using 3-h standard meteorological data is described. Comparisons of computed and observed irradiations are made with hourly data obtained in Carpentras ...

F. Kermel

1988-02-01T23:59:59.000Z

360

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...  

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

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...

Note: This page contains sample records for the topic "average hourly charts" 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

Seasonal Variations in the Diurnal Characteristics of Heavy Hourly precipitation across the United States  

Science Conference Proceedings (OSTI)

Hourly precipitation data from 1967 to 1983 for the coterminous, United States were harmonically analyzed in order to document the diurnal variability of several categories of heavy hourly precipitation during winter, spring, summer, and autumn. ...

Julie A. Winkler; Brent R. Skeeter; Paul D. Yamamoto

1988-08-01T23:59:59.000Z

362

U.S. Refiner Sales to End Users (Average) Prices  

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

Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Formulation/ Grade Sales Type Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Conventional, Average 3.030 3.137 3.122 3.063 3.042 2.972 1994-2013 Conventional Regular 3.005 3.116 3.102 3.040 3.017 2.948 1994-2013 Conventional Midgrade 3.167 3.256 3.239 3.200 3.193 3.121 1994-2013 Conventional Premium 3.269 3.354 3.327 3.291 3.274 3.203 1994-2013 Oxygenated, Average - - - - - - 1994-2013 Oxygenated Regular - - - - - - 1994-2013 Oxygenated Midgrade - - - - - - 1994-2013

363

On the usefulness of finding charts Or the runaway carbon stars of the Blanco & McCarthy field 37  

E-Print Network (OSTI)

We have been recently faced with the problem of cross--identifying stars recorded in historical catalogues with those extracted from recent fully digitized surveys (such as DENIS and 2MASS). Positions mentioned in the old catalogues are frequently of poor precision, but are generally accompanied by finding charts where the interesting objects are flagged. Those finding charts are sometimes our only link with the accumulated knowledge of past literature. While checking the identification of some of these objects in several catalogues, we had the surprise to discover a number of discrepancies in recent works.The main reason for these discrepancies was generally the blind application of the smallest difference in position as the criterion to identify sources from one historical catalogue to those in more recent surveys. In this paper we give examples of such misidentifications, and show how we were able to find and correct them.We present modern procedures to discover and solve cross--identification problems, su...

Loup, C; Egret, D; Cioni, M R; Genova, F

2003-01-01T23:59:59.000Z

364

September 14, 2010, Federal Technical Capabilities Panel, Face to Face meeting Â… Expert Level Competency Evaluation Progress Chart  

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

Expert Level Competency Evaluation Progress Chart Expert Level Competency Evaluation Progress Chart FAQS Sponsor Number of Comp- etencies Initial Contact Discuss JTA Process Conduct JTA Determine Changes Needed Competencies Rewritten Approved by FTCP Submitted to Tech Stds Sys FAQS Changes Completed Chemical Processing Mike Mikolanis 803-208-1223 3 Done 8/2/10 Done 8/17/10 Done 8/26/10 Done (2) 9/7/10 Civil/Structural Engineering Raman Venkata 509-376-2274 2 Done 7/29/10 Done 8/12/10 Done 8/18/10 Done (2) 8/18/10 Deactivation & Decommission Don Mackenzie 301-903-7426 4 Done 8/6/10 Emergency Management Jose Maisonet 301-903-6593 2 Done 8/11/10 Done 8/19/10 Done 9/2/10 Done (2) 9/3/10 Fire Protection CraigChristenson

365

Bayesian Model Averaging’s Problematic Treatment of Extreme Weather and a Paradigm Shift That Fixes It  

Science Conference Proceedings (OSTI)

Methods of ensemble postprocessing in which continuous probability density functions are constructed from ensemble forecasts by centering functions around each of the ensemble members have come to be called Bayesian model averaging (BMA) or “...

Craig H. Bishop; Kevin T. Shanley

2008-12-01T23:59:59.000Z

366

Average Soil Water Retention Curves Measured by Neutron Radiography  

SciTech Connect

Water retention curves are essential for understanding the hydrologic behavior of partially-saturated porous media and modeling flow transport processes within the vadose zone. In this paper we report direct measurements of the main drying and wetting branches of the average water retention function obtained using 2-dimensional neutron radiography. Flint sand columns were saturated with water and then drained under quasi-equilibrium conditions using a hanging water column setup. Digital images (2048 x 2048 pixels) of the transmitted flux of neutrons were acquired at each imposed matric potential (~10-15 matric potential values per experiment) at the NCNR BT-2 neutron imaging beam line. Volumetric water contents were calculated on a pixel by pixel basis using Beer-Lambert s law after taking into account beam hardening and geometric corrections. To remove scattering effects at high water contents the volumetric water contents were normalized (to give relative saturations) by dividing the drying and wetting sequences of images by the images obtained at saturation and satiation, respectively. The resulting pixel values were then averaged and combined with information on the imposed basal matric potentials to give average water retention curves. The average relative saturations obtained by neutron radiography showed an approximate one-to-one relationship with the average values measured volumetrically using the hanging water column setup. There were no significant differences (at p < 0.05) between the parameters of the van Genuchten equation fitted to the average neutron radiography data and those estimated from replicated hanging water column data. Our results indicate that neutron imaging is a very effective tool for quantifying the average water retention curve.

Cheng, Chu-Lin [ORNL; Perfect, Edmund [University of Tennessee, Knoxville (UTK); Kang, Misun [ORNL; Voisin, Sophie [ORNL; Bilheux, Hassina Z [ORNL; Horita, Juske [Texas Tech University (TTU); Hussey, Dan [NIST Center for Neutron Research (NCRN), Gaithersburg, MD

2011-01-01T23:59:59.000Z

367

"2012 Average Monthly Bill- Industrial"  

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

Industrial" Industrial" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",34164,67854.037,11.83487,8030.4373 "Connecticut",4647,63947.063,12.672933,8103.9685 "Maine",2780,90741.457,7.9819499,7242.9376 "Massachusetts",21145,66710.826,12.566635,8383.3057 "New Hampshire",3444,47247.217,11.83228,5590.423 "Rhode Island",1927,39935.911,10.676724,4263.8471 "Vermont",221,536044.12,9.9796777,53495.475 "Middle Atlantic",45836,126368.14,7.4903534,9465.42 "New Jersey",12729,50817.89,10.516509,5344.2677

368

Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual  

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

Chlorofluorocarbons » Chlorofluorocarbons » Atmospheric CFC-11 Concentrations Globally Averaged Atmospheric CFC-11 Concentrations: Monthly and Annual Data for the Period 1975-1992 DOI: 10.3334/CDIAC/atg.db1010 data Data (DB1010) Investigator M. A. K. Khalil and R. A. Rasmussen Description This data set presents globally averaged atmospheric concentrations of chlorofluorocarbon 11, known also as CFC-11 or F-11 (chemical name: trichlorofluoromethane; formula: CCl3F). The monthly global average data are derived from flask air samples collected at eight sites in six locations over the period August 1980-July 1992. The sites are Barrow (Alaska), Cape Meares (Oregon), Cape Kumukahi and Mauna Loa (Hawaii), Cape Matatula (American Samoa), Cape Grim (Tasmania), Palmer Station, and the

369

Comparison of Average Transport and Dispersion Among a Gaussian, a  

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

Comparison of Average Transport and Dispersion Among a Gaussian, a Comparison of Average Transport and Dispersion Among a Gaussian, a Two-Dimensional, and a Three-Dimensional Model Comparison of Average Transport and Dispersion Among a Gaussian, a Two-Dimensional, and a Three-Dimensional Model The Nuclear Regulatory Commission's (NRC's) code for predicting off-site consequences, MACCS2 (Chanin, et al. 1998) (MELCOR Accident Consequence Code System, Version 2), uses a simplified model for atmospheric transport and d ispersion (ATD), that is, a straight-line Gaussian model. The MACCS2 calculations are used by the NRC for planning purposes, for cost-benefit analyses, and in level-3 probabilistic risk analyses (PRAs). The MACCS2 ATD model has been criticized as being overly simplistic, even for its purposes. The justification for its use has been

370

"2012 Average Monthly Bill- Residential"  

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

Residential" Residential" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",6203726,634.13095,15.713593,99.644755 "Connecticut",1454651,730.85302,17.343298,126.75402 "Maine",703770,530.56349,14.658797,77.774225 "Massachusetts",2699141,627.15845,14.912724,93.52641 "New Hampshire",601697,614.81776,16.070168,98.802249 "Rhode Island",435448,597.34783,14.404061,86.042344 "Vermont",309019,565.03618,17.006075,96.090478 "Middle Atlantic",15727423,700.63673,15.272654,107.00582

371

INVERSIONS FOR AVERAGE SUPERGRANULAR FLOWS USING FINITE-FREQUENCY KERNELS  

Science Conference Proceedings (OSTI)

I analyze the maps recording the travel-time shifts caused by averaged plasma anomalies under an 'average supergranule', constructed by means of statistical averaging over 5582 individual supergranules with large divergence signals detected in two months of Helioseismic and Magnetic Imager Dopplergrams. By utilizing a three-dimensional validated time-distance inversion code, I measure a peak vertical velocity of 117 {+-} 2 m s{sup -1} at depths around 1.2 Mm in the center of the supergranule and a root-mean-square vertical velocity of 21 m s{sup -1} over the area of the supergranule. A discrepancy between this measurement and the measured surface vertical velocity (a few m s{sup -1}) can be explained by the existence of the large-amplitude vertical flow under the surface of supergranules with large divergence signals, recently suggested by Duvall and Hanasoge.

Svanda, Michal, E-mail: michal@astronomie.cz [Astronomical Institute, Academy of Sciences of the Czech Republic (v.v.i.), Fricova 298, CZ-25165 Ondrejov (Czech Republic)

2012-11-10T23:59:59.000Z

372

Question of the Week: How Are You Observing Earth Hour? | Department of  

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

Are You Observing Earth Hour? Are You Observing Earth Hour? Question of the Week: How Are You Observing Earth Hour? March 26, 2009 - 12:16pm Addthis This Saturday, March 28th, people around the world will observe Earth Hour at 8:30 p.m. local time-whatever the local time zone happens to be-by switching off their lights for one hour. While many people are taking part by simply shutting off their lights and lighting some candles, some communities are hosting gatherings or events around Earth Hour. How are you observing Earth Hour? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please e-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov. Addthis Related Articles Question of the Week: How Will You Save Energy this Spring?

373

Bounce-averaged Fokker-Planck code for stellarator transport  

Science Conference Proceedings (OSTI)

A computer code for solving the bounce-averaged Fokker-Planck equation appropriate to stellarator transport has been developed, and its first applications made. The code is much faster than the bounce-averaged Monte-Carlo codes, which up to now have provided the most efficient numerical means for studying stellarator transport. Moreover, because the connection to analytic kinetic theory of the Fokker-Planck approach is more direct than for the Monte-Carlo approach, a comparison of theory and numerical experiment is now possible at a considerably more detailed level than previously.

Mynick, H.E.; Hitchon, W.N.G.

1985-07-01T23:59:59.000Z

374

Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)  

DOE Data Explorer (OSTI)

The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

Heavy Flavor Averaging Group (HFAG)

375

AMPERE AVERAGE CURRENT PHOTOINJECTOR AND ENERGY RECOVERY LINAC.  

SciTech Connect

High-power Free-Electron Lasers were made possible by advances in superconducting linac operated in an energy-recovery mode. In order to get to much higher power levels, say a fraction of a megawatt average power, many technological barriers are yet to be broken. We describe work on CW, high-current and high-brightness electron beams. This will include a description of a superconducting, laser-photocathode RF gun employing a new secondary-emission multiplying cathode, an accelerator cavity, both capable of producing of the order of one ampere average current and plans for an ERL based on these units.

BEN-ZVI,I.; BURRILL,A.; CALAGA,R.; ET AL.

2004-08-17T23:59:59.000Z

376

Residual Fuel Oil Prices, Average - Sales to End Users  

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

Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Product/Sales Type: Residual Fuel, Average - Sales to End Users Residual Fuel, Average - Sales for Resale Sulfur Less Than or Equal to 1% - Sales to End Users Sulfur Less Than or Equal to 1% - Sales for Resale Sulfur Greater Than 1% - Sales to End Users Sulfur Greater Than 1% - Sales for Resale Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product/Sales Type Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. - - - - - - 1983-2013 East Coast (PADD 1) - - - - - - 1983-2013 New England (PADD 1A) - - - - - - 1983-2013 Connecticut - - - - - - 1983-2013 Maine - - - - - - 1983-2013 Massachusetts - - - - - - 1983-2013

377

Pennsylvania Average Price of Natural Gas Delivered to Residential...  

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

Percent Sold by Local Distribution Companies 91.2 91.2 2006-2011 Commercial Average Price 12.77 14.29 11.83 10.47 10.42 10.21 1967-2012 Local Distribution Companies 11.29 NA...

378

Michigan Average Price of Natural Gas Delivered to Residential...  

Annual Energy Outlook 2012 (EIA)

8.75 8.56 9.26 11.63 12.68 13.68 1989-2013 Commercial Average Price 7.67 7.51 7.84 8.78 9.69 10.30...

379

HIGH AVERAGE POWER UV FREE ELECTRON LASER EXPERIMENTS AT JLAB  

Science Conference Proceedings (OSTI)

Having produced 14 kW of average power at {approx}2 microns, JLAB has shifted its focus to the ultraviolet portion of the spectrum. This presentation will describe the JLab UV Demo FEL, present specifics of its driver ERL, and discuss the latest experimental results from FEL experiments and machine operations.

Douglas, David; Evtushenko, Pavel; Gubeli, Joseph; Hernandez-Garcia, Carlos; Legg, Robert; Neil, George; Powers, Thomas; Shinn, Michelle D; Tennant, Christopher

2012-07-01T23:59:59.000Z

380

Table WF01. Average Consumer Prices and Expenditures for ...  

U.S. Energy Information Administration (EIA)

Heating Oil U.S. Average Consumption (gallons) 522.7 531.7 572.5 538.2 574.1 465.3 539.9 546.9 1.3 ... Wood 2,094 2,179 2,353 2,424 2,454 2,520 2,582 ...

Note: This page contains sample records for the topic "average hourly charts" 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

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1  

E-Print Network (OSTI)

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1 Adrian E. Raftery, Fadoua forecasting often exhibit a spread-skill relationship, but they tend to be underdispersive. This paper of PDFs centered around the individual (possibly bias-corrected) forecasts, where the weights are equal

Washington at Seattle, University of

382

Information Leakage via Electromagnetic Emanation and Effectiveness of Averaging Technique  

Science Conference Proceedings (OSTI)

It is well known that there is relationship between electromagnetic emanation and processing information in IT devices such as personal computers and smart cards. In this paper, we show how to estimate amount of information that is leaked as electromagnetic ... Keywords: Tempest, Channel capacity, electromagnetic emanation, averaging technique

Hidema Tanaka

2008-04-01T23:59:59.000Z

383

Spatial analysis based on variance of moving window averages  

E-Print Network (OSTI)

R02 R04 R06 R08 R16 I n Window size B R02 R06 R10 R14 R20R04 R08 R12 R16 R24 R36 I n Window size Wu et al. , Fig. 2Based on Variance of Moving Window Averages B. M. Wu, K. V.

Wu, B M; Subbarao, K V; Ferrandino, F J; Hao, J J

2006-01-01T23:59:59.000Z

384

A Vertically Averaged Circulation Model Using Boundary-Fitted Coordinates  

Science Conference Proceedings (OSTI)

A two-dimensional vertically averaged circulation model using boundary-fitted coordinates has been developed for predicting sea level and currants in estuarine and shelf waters. The basic idea of the approach is to use a set of coupled quasi-...

Malcolm L. Spaulding

1984-05-01T23:59:59.000Z

385

The distribution of an illustrated timeline wall chart and teacher's guide of 20th century physics  

SciTech Connect

The American Physical Society's part of its centennial celebration in March of 1999 decided to develop a timeline wall chart on the history of 20th century physics. This resulted in eleven consecutive posters, which when mounted side by side, create a 23-foot mural. The timeline exhibits and describes the millstones of physics in images and words. The timeline functions as a chronology, a work of art, a permanent open textbook, and a gigantic photo album covering a hundred years in the life of the community of physicists and the existence of the American Physical Society. Each of the eleven posters begins with a brief essay that places a major scientific achievement of the decade in its historical context. Large portraits of the essays' subjects include youthful photographs of Marie Curie, Albert Einstein, and Richard Feynman among others, to help put a face on science. Below the essays, a total of over 130 individual discoveries and inventions, explained in dated text boxes with accompanying images, form the backbone of the timeline. For ease of comprehension, this wealth of material is organized into five color-coded story lines the stretch horizontally across the hundred years of the 20th century. The five story lines are: Cosmic Scale, relate the story of astrophysics and cosmology; Human Scale, refers to the physics of the more familiar distances from the global to the microscopic; Atomic Scale, focuses on the submicroscopic world of atoms, nuclei and quarks; Living World, chronicles the interaction of physics with biology and medicine; Technology, traces the applications of physic to everyday living. Woven into the bottom border of the timeline are period images of significant works of art, architecture, and technological artifacts such as telephones, automobiles, aircraft, computers, and appliances. The last poster, covering the years since 1995, differs from the others. Its essay concerns the prospect for physics into the next century, and is illustrated with pictures of promising award winning high school students who, it is hoped, will be the leading researchers of physics in the decades ahead. Appropriately the last entries in the timeline are not achievements but open questions to be answered in the future.

Schwartz, Brian

2000-12-26T23:59:59.000Z

386

High average power diode pumped solid state lasers for CALIOPE  

Science Conference Proceedings (OSTI)

Diode pumping of solid state media offers the opportunity for very low maintenance, high efficiency, and compact laser systems. For remote sensing, such lasers may be used to pump tunable non-linear sources, or if tunable themselves, act directly or through harmonic crystals as the probe. The needs of long range remote sensing missions require laser performance in the several watts to kilowatts range. At these power performance levels, more advanced thermal management technologies are required for the diode pumps. The solid state laser design must now address a variety of issues arising from the thermal loads, including fracture limits, induced lensing and aberrations, induced birefringence, and laser cavity optical component performance degradation with average power loading. In order to highlight the design trade-offs involved in addressing the above issues, a variety of existing average power laser systems are briefly described. Included are two systems based on Spectra Diode Laboratory`s water impingement cooled diode packages: a two times diffraction limited, 200 watt average power, 200 Hz multi-rod laser/amplifier by Fibertek, and TRW`s 100 watt, 100 Hz, phase conjugated amplifier. The authors also present two laser systems built at Lawrence Livermore National Laboratory (LLNL) based on their more aggressive diode bar cooling package, which uses microchannel cooler technology capable of 100% duty factor operation. They then present the design of LLNL`s first generation OPO pump laser for remote sensing. This system is specified to run at 100 Hz, 20 nsec pulses each with 300 mJ, less than two times diffraction limited, and with a stable single longitudinal mode. The performance of the first testbed version will be presented. The authors conclude with directions their group is pursuing to advance average power lasers. This includes average power electro-optics, low heat load lasing media, and heat capacity lasers.

Comaskey, B.; Halpin, J.; Moran, B.

1994-07-01T23:59:59.000Z

387

RadEducationPosterPieChart_11-6-13_final_print-ready  

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

* Use Shielding: Different types of materials provide shielding from * Use Shielding: Different types of materials provide shielding from radiation (depending on the type of radiation, protective materials include wax bricks, lead, concrete, plastic, paper, and aluminum). Protecting Against Radiation Exposure Additional Protection * Minimize Time: The less time exposed, the lower the dose received. * Maximize Distance: The further from the source, the lower the dose received (double the distance and it is ¼ the exposure rate). Putting Exposure into Perspective Consumer Products Medical Diagnostic Procedures Industrial Occupational Internal Terrestrial Cosmic Radon and Thoron <0.01% <0.01% <2% 48% 37% 5% 3% 5% Sources of Radiation Exposure for the Average Person in the U.S. Average Dose = 620 mrem/year Dose from

388

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

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

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

389

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time | Department of Energy  

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

Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time Earth Hour 2009: March 28, 8:30-9:30 PM Local Time March 27, 2009 - 6:00am Addthis John Lippert The city of Greenbelt, Maryland, where I live, is living up to its "green" name by participating in Earth Hour. This global event asks everyone to "go dark" for an hour to make a powerful statement of concern about climate change. The city will be turning off all non-essential lights in municipal buildings. Residents are requested to turn off their lights (and other energy-consuming appliances). The Greenbelt Advisory Committee on Environmental Sustainability, which advises the mayor and city council and which I chair, will be sponsoring a flashlight walk around Old Greenbelt during Earth Hour. My wife and I will

390

Nonlocal imaging by conditional averaging of random reference measurements  

E-Print Network (OSTI)

We report the nonlocal imaging of an object by conditional averaging of the random exposure frames of a reference detector, which only sees the freely propagating field from a thermal light source. A bucket detector, synchronized with the reference detector, records the intensity fluctuations of an identical beam passing through the object mask. These fluctuations are sorted according to their values relative to the mean, then the reference data in the corresponding time-bins for a given fluctuation range are averaged, to produce either positive or negative images. Since no correlation calculations are involved, this correspondence imaging technique challenges our former interpretations of "ghost" imaging. Compared with conventional correlation imaging or compressed sensing schemes, both the number of exposures and computation time are greatly reduced, while the visibility is much improved. A simple statistical model is presented to explain the phenomenon.

Kai-Hong Luo; Boqiang Huang; Wei-Mou Zheng; Ling-An Wu

2013-03-22T23:59:59.000Z

391

Database of average-power damage thresholds at 1064 nm  

Science Conference Proceedings (OSTI)

We have completed a database of average-power, laser-induced, damage thresholds at 1064 nm on a variety of materials. Measurements were made with a newly constructed laser to provide design input for moderate and high average-power laser projects. The measurements were conducted with 16-ns pulses at pulse-repetition frequencies ranging from 6 to 120 Hz. Samples were typically irradiated for time ranging from a fraction of a second up to 5 minutes (36,000 shots). We tested seven categories of samples which included antireflective coatings, high reflectors, polarizers, single and multiple layers of the same material, bare and overcoated metal surfaces, bare polished surfaces, and bulk materials. The measured damage threshold ranged from 46 J/cm/sup 2/ for a bare polished glass substrate. 4 refs., 7 figs., 1 tab.

Rainer, F.; Hildum, E.A.; Milam, D.

1987-12-14T23:59:59.000Z

392

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facility’s electricity use highest? ( CHECKthe next day’s hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

393

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

next day’s hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

394

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size: Preprint  

DOE Green Energy (OSTI)

In this paper, we analyze sub-hourly ramping requirements and the benefit of combining Balancing Authority operations with significant wind penetrations.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

395

Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing  

E-Print Network (OSTI)

nature of electric service and usage, defining the hoursElectric. 12 The resulting evaluation report estimated elasticities and found measurable reductions in energy usage

2005-01-01T23:59:59.000Z

396

Intra-hour Direct Normal Irradiance solar forecasting using genetic programming  

E-Print Network (OSTI)

UNIVERSITY OF CALIFORNIA, SAN DIEGO Intra-hour Direct NormalChair University of California, San Diego iii TABLE OFRPS,” Technical report, California Independent System

Queener, Benjamin Daniel

2012-01-01T23:59:59.000Z

397

Table 22. Average Price of U.S. Coke Imports  

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

Average Price of U.S. Coke Imports Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 22. Average Price of U.S. Coke Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 263.21 252.66 353.05 261.29 356.01 -26.6 Canada 263.51 252.66 353.05 258.82 356.01 -27.3 Panama 263.09 - - 263.09 - - South America Total 196.86 194.14 175.88 195.94 181.01 8.2 Brazil - - 157.60 - 157.60 - Colombia 196.86 194.14 322.06 195.94 246.68 -20.6 Europe Total 181.55 232.13 385.65 225.53 384.96 -41.4 Czech Republic - 475.91 - 475.91 - - Spain 360.51

398

Table 8. Average Price of U.S. Coal Exports  

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

Average Price of U.S. Coal Exports Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 8. Average Price of U.S. Coal Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 78.29 77.25 102.62 77.88 105.14 -25.9 Canada* 81.61 80.70 110.67 81.30 112.16 -27.5 Dominican Republic 78.54 75.09 73.89 75.77 76.61 -1.1 Honduras - 54.58 54.43 54.58 54.43 0.3 Jamaica 480.00 54.43 - 54.72 55.42 -1.3 Mexico 73.45 75.81 94.36 74.35 100.95 -26.3 Other** 80.33 389.30 70.37 82.45 76.10 8.3 South America Total 107.72 108.02 149.99 107.88

399

Table 17. Average Price of U.S. Coke Exports  

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

Average Price of U.S. Coke Exports Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 17. Average Price of U.S. Coke Exports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Destination April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 240.59 241.38 218.40 240.85 225.80 6.7 Canada* 147.49 330.47 243.04 183.08 286.56 -36.1 Mexico 316.57 211.63 189.12 273.97 171.71 59.6 Other** 612.42 485.63 134.48 525.92 135.04 289.5 South America Total 140.65 156.15 322.70 148.29 250.36 -40.8 Other** 140.65 156.15 322.70 148.29 250.36 -40.8 Europe Total 259.26 255.24 - 257.06 427.83 -39.9 Other**

400

Probability density function transformation using seeded localized averaging  

SciTech Connect

Seeded Localized Averaging (SLA) is a spectrum acquisition method that averages pulse-heights in dynamic windows. SLA sharpens peaks in the acquired spectra. This work investigates the transformation of the original probability density function (PDF) in the process of applying SLA procedure. We derive an analytical expression for the resulting probability density function after an application of SLA. In addition, we prove the following properties: 1) for symmetric distributions, SLA preserves both the mean and symmetry. 2) for uni-modal symmetric distributions, SLA reduces variance, sharpening the distributions peak. Our results are the first to prove these properties, reinforcing past experimental observations. Specifically, our results imply that in the typical case of a spectral peak with Gaussian PDF the full width at half maximum (FWHM) of the transformed peak becomes narrower even with averaging of only two pulse-heights. While the Gaussian shape is no longer preserved, our results include an analytical expression for the resulting distribution. Examples of the transformation of other PDFs are presented. (authors)

Dimitrov, N. B. [Operations Research Dept., Naval Postgraduate School, Monterey, CA 93943 (United States); Jordanov, V. T. [Yantel, LLC, Santa Fe, NM 87508 (United States)

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "average hourly charts" 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

The InterHourly-Variability (IHV) Index of Geomagnetic Activity and its Use in Deriving the Long-term Variation of Solar Wind Speed  

E-Print Network (OSTI)

We describe the derivation of the InterHourly Variability (IHV) index of geomagnetic activity. The IHV-index for a geomagnetic element is mechanically derived from hourly values as the sum of the unsigned differences between adjacent hours over a seven-hour interval centered on local midnight. The index is derived separately for stations in both hemispheres within six longitude sectors using only local night hours. It is intended as a long-term index. Available data allows derivation of the index back well into the 19th century. On a time scale of a 27-day Bartels rotation, IHV averages for stations with corrected geomagnetic latitude less than 55 degrees are strongly correlated with midlatitude range indices. Assuming a constant calibration of the aa-index we find that observed yearly values of aa before the year 1957 are 2.9 nT too small compared to values calculated from IHV using the regression constants based on 1980-2004. We interpret this discrepancy as an indication that the calibration of the aa index is in error before 1957. There is no such problem with the ap index. Rotation averages of IHV are also strongly correlated with solar wind parameters (BV^2). On a time scale of a year combining the IHV-index and the recently-developed Inter-Diurnal Variability (IDV) index (giving B) allows determination of solar wind speed, V, from 1890-present. Over the ~120-year series, the yearly mean solar wind speed varied from a low of 303 km/s in 1902 to a high value of 545 km/s in 2003. The calculated yearly values of the product BV using B and V separately derived from IDV and IHV agree quantitatively with (completely independent) BV derived from the amplitude of the diurnal variation of the H component in the polar caps since 1926 and sporadically beyond.

Leif Svalgaard; Edward W. Cliver

2007-06-07T23:59:59.000Z

402

Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power Plants  

E-Print Network (OSTI)

1 Quantification of Variability and Uncertainty in Hourly NOx Emissions from Coal-Fired Power to quantify variability and uncertainty for NOx emissions from coal-fired power plants. Data for hourly NOx Uncertainty, Variability, Emission Factors, Coal-Fired Power Plants, NOx emissions, Regression Models

Frey, H. Christopher

403

Multi-hour network planning based on domination between sets of traffic matrices  

Science Conference Proceedings (OSTI)

In multi-hour network design, periodic traffic variations along time are considered in the dimensioning process. Then, the non coincidence of traffic peaks along the day or the week can be exploited. This paper investigates the application of the traffic ... Keywords: Multi-hour traffic, Network planning, Traffic domination

P. Pavon-Marino; B. Garcia-Manrubia; R. Aparicio-Pardo

2011-02-01T23:59:59.000Z

404

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

405

Cloudy Sky Version of Bird's Broadband Hourly Clear Sky Model (Presentation)  

DOE Green Energy (OSTI)

Presentation on Bird's Broadband Hourly Clear Sky Model given by NREL's Daryl Myers at SOLAR 2006. The objective of this report is to produce ''all sky'' modeled hourly solar radiation. This is based on observed cloud cover data using a SIMPLE model.

Myers, D.

2006-08-01T23:59:59.000Z

406

Average waiting time profiles of uniform DQDB model  

SciTech Connect

The Distributed Queue Dual Bus (DQDB) system consists of a linear arrangement of N nodes that communicate with each other using two contra-flowing buses; the nodes use an extremely simple protocol to send messages on these buses. This simple, but elegant, system has been found to be very challenging to analyze. We consider a simple and uniform abstraction of this model to highlight the fairness issues in terms of average waiting time. We introduce a new approximation method to analyze the performance of DQDB system in terms of the average waiting time of a node expressed as a function of its position. Our approach abstracts the intimate relationship between the load of the system and its fairness characteristics, and explains all basic behavior profiles of DQDB observed in previous simulation. For the uniform DQDB with equal distance between adjacent nodes, we show that the system operates under three basic behavior profiles and a finite number of their combinations that depend on the load of the network. Consequently, the system is not fair at any load in terms of the average waiting times. In the vicinity of a critical load of 1 {minus} 4/N, the uniform network runs into a state akin to chaos, where its behavior fluctuates from one extreme to the other with a load variation of 2/N. Our analysis is supported by simulation results. We also show that the main theme of the analysis carries over to the general (non-uniform) DQDB; by suitably choosing the inter-node distances, the DQDB can be made fair around some loads, but such system will become unfair as the load changes.

Rao, N.S.V. [Oak Ridge National Lab., TN (United States); Maly, K.; Olariu, S.; Dharanikota, S.; Zhang, L.; Game, D. [Old Dominion Univ., Norfolk, VA (United States). Dept. of Computer Science

1993-09-07T23:59:59.000Z

407

Status of Average-x from Lattice QCD  

Science Conference Proceedings (OSTI)

As algorithms and computing power have advanced, lattice QCD has become a precision technique for many QCD observables. However, the calculation of nucleon matrix elements remains an open challenge. I summarize the status of the lattice effort by examining one observable that has come to represent this challenge, average-x: the fraction of the nucleon's momentum carried by its quark constituents. Recent results confirm a long standing tendency to overshoot the experimentally measured value. Understanding this puzzle is essential to not only the lattice calculation of nucleon properties but also the broader effort to determine hadron structure from QCD.

Dru Renner

2011-09-01T23:59:59.000Z

408

Long-term average performance benefits of parabolic trough improvements  

DOE Green Energy (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. This analysis quantifies the relative merit of various technological advancements in improving the long-term average performance of parabolic trough concentrating collectors and presents them graphically as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. Substantial annual energy gains (exceeding 50% at 350/sup 0/C) are shown to be attainable with improved parabolic troughs.

Gee, R.; Gaul, H.; Kearney, D.; Rabl, A.

1979-10-01T23:59:59.000Z

409

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor | Department of Energy  

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

Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor Docket No. EO-05-01: Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor, March 2002 to November 2004, showing the model overprediction Mirant: Ambient 24 Hour SO2 Values: Model vs Monitor More Documents & Publications Comments on Department of Energy's Emergency Order To Resume Limited Operation at Mirant's Potomac River Generating Station and Proposed Mirant Compliance Plan Answer of Potomac Electric Power Company and PJM lnterconnection, L.L.C. to the October 6, 2005 motion filed by the Virginia Department of Environmental Quality Special Environmental Analysis For Actions Taken under U.S. Department of Energy Emergency Orders Regarding Operation of the Potomac River Generating

410

User's Guide to Pre-Processing Data in Universal Translator 2 for the Energy Charting and Metrics Tool (ECAM)  

SciTech Connect

This document is a user's guide for the Energy Charting and Metrics Tool to facilitate the examination of energy information from buildings, reducing the time spent analyzing trend and utility meter data. This user guide was generated to help pre-process data with the intention of utilizing the Energy Charting and Metrics (ECAM) tool to improve building operational efficiency. There are numerous occasions when the metered data that is received from the building automation system (BAS) isn't in the right format acceptable for ECAM. This includes, but isn't limited to, cases such as inconsistent time-stamps for the trends (e.g., each trend has its own time-stamp), data with holes (e.g., some time-stamps have data and others are missing data), each point in the BAS is trended and exported into an individual .csv or .txt file, the time-stamp is unrecognizable by ECAM, etc. After reading through this user guide, the user should be able to pre-process all data files and be ready to use this data in ECAM to improve their building operational efficiency.

Taasevigen, Danny J.

2011-11-30T23:59:59.000Z

411

A high average power electro-optic switch using KTP  

SciTech Connect

High damage threshold, high thermal conductivity, and small thermo-optic coefficients make KTiOPO{sub 4} (KTP) an attractive material for use in a high average power Q-switch. However, electro-chromic damage and refractive index homogeneity have prevented the utilization of KTP in such a device in the past. This work shows that electro-chromic damage is effectively suppressed using capacitive coupling, and a KTP crystal can be Q-switched for 1.5 {times} 10{sup 9} shots without any detectable electro-chromic damage. In addition, KTP with the high uniformity and large aperture size needed for a KTP electro-optic Q-switch can be obtained from flux crystals grown at constant temperature. A thermally compensated, dual crystal KTP Q-switch, which successfully produced 50 mJ pulses with a pulse width of 8 ns (FWHM), has been constructed. In addition, in off-line testing the Q-switch showed less than 7% depolarization at an average power loading of 3.2 kW/cm{sup 2}.

Ebbers, C.A.; Cook, W.M.; Velsko, S.P.

1994-04-01T23:59:59.000Z

412

[Global warming and the running average sunspot number  

SciTech Connect

It has been reported in your pages that the Bush administration`s views and actions regarding how or whether to react to possible global warming due to greenhouse gases have been influenced by the so-called Marshall report. This unrefereed report, released by the George C. Marshall Institute, had as its principal conclusion the finding that the 0.5{degree} C global warming of the last century was mostly due to solar variability and, thus, the greenhouse warming of the 21st century can be expected to be a relatively small l{degree} C or so. The authors support this finding by comparing the 33-year running average sunspot number with the trend in annual average global temperature and noting the parallel between the two, especially during the 1940s--1960s when the temperature trend was downward. Subsequent letters to Science debated the merits of this and other conclusions contained in the report. I now present additional technical evidence which shows that, quite aside from the question of whether the data presented in the report support its conclusions, the actual figure on which the above conclusion is based is in error.

Fernau, M.E.

1994-05-01T23:59:59.000Z

413

Calculations of nonspherically averaged charge densities for subtitutionally disordered alloys  

Science Conference Proceedings (OSTI)

Based on screening transformations of muffin-tin orbitals introduced by Andersen et al. [Phys. Rev. Lett. 53, 2571 (1984)], we have developed a formalism for calculating the non-spherically averaged charge densities of substitutionally disordered alloys using the Korringa-Kohn-Rostoker coherent potential approximation (KKR CPA) method in the atomic-sphere approximation (ASA). We have validated our method by calculating charge densities for ordered structures, where we find that our approach yields charge densities that are essentially indistinguishable from the results of full-potential methods. For substitutionally disordered alloys, where full-potential methods have not been implemented so far, our approach can be used to calculate reliable non-spherically averaged charge densities from spherically symmetric one-electron potentials obtained from the KKR-ASA CPA. We report on our study of differences in charge denisty between ordered AlLi in L1{sub o} phase and substitutionally disordered Al{sub 0.5}Li{sub 0.5} on face-centered cubic lattice.

Singh, P.P.; Gonis, A.

1994-02-01T23:59:59.000Z

414

Plasma dynamics and a significant error of macroscopic averaging  

E-Print Network (OSTI)

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

Marek A. Szalek

2005-05-22T23:59:59.000Z

415

Climate: monthly and annual average relative humidity GIS data at  

Open Energy Info (EERE)

relative humidity GIS data at relative humidity GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract): Relative Humidity at 10 m Above The Surface Of The Earth (%)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Relative Humidity at 10 m Above The Surface Of The Earth (%)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of

416

Network-based consensus averaging with general noisy channels  

E-Print Network (OSTI)

This paper focuses on the consensus averaging problem on graphs under general noisy channels. We study a particular class of distributed consensus algorithms based on damped updates, and using the ordinary differential equation method, we prove that the updates converge almost surely to exact consensus for finite variance noise. Our analysis applies to various types of stochastic disturbances, including errors in parameters, transmission noise, and quantization noise. Under a suitable stability condition, we prove that the error is asymptotically Gaussian, and we show how the asymptotic covariance is specified by the graph Laplacian. For additive parameter noise, we show how the scaling of the asymptotic MSE is controlled by the spectral gap of the Laplacian.

Rajagopal, Ram

2008-01-01T23:59:59.000Z

417

Measurement strategies for estimating long-term average wind speeds  

DOE Green Energy (OSTI)

The uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets. Continuous strategies have smaller uncertainties for fixed duration measurement programs, but intermittent strategies make more efficient use of instruments and have smaller uncertainties for a fixed amount of instrument use. Continuous strategies tend to give biased estimates of the long-term annual mean speed unless an integral number of years' data is collected or the measurement program exceeds 3 years in duration. Intermittent strategies with three or more month-long measurement periods per year do not show any tendency toward bias.

Ramsdell, J.V.; Houston, S.; Wegley, H.L.

1980-10-01T23:59:59.000Z

418

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours  

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

Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Community Connections: Our link to Northern New Mexico Communities Latest Issue:Dec. 2013 - Jan. 2014 All Issues » submit Nonprofit Organizations: Have Your Los Alamos Employees/Retirees Log Hours in VolunteerMatch Lab employees and retirees should log their VolunteerMatch hours to benefit local nonprofits. March 1, 2013 Volunteers help fill sandbags during flood season Volunteers help in many different roles including in healthcare. Contacts Editor Linda Anderman Email Community Programs Office Kurt Steinhaus Email So far, employees and retirees have volunteered more than 1.2 million volunteer hours. If you are a nonprofit organization that has Lab employees or retirees as

419

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Nepal from DLR Nepal from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Nepal. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Nepal NREL solar SWERA TILT UNEP Data application/zip icon Download data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

420

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

DOE Awards 265 Million Hours of Supercomputing Time to Advance DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

Note: This page contains sample records for the topic "average hourly charts" 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

Spatial and Temporal Characteristics of Heavy Hourly Rainfall in the United States  

Science Conference Proceedings (OSTI)

The climatology of heavy rain events from hourly precipitation observations by Brooks and Stensrud is revisited in this study using two high-resolution precipitation datasets that incorporate both gauge observations and radar estimates. Analyses ...

Nathan M. Hitchens; Harold E. Brooks; Russ S. Schumacher

2013-12-01T23:59:59.000Z

422

DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to  

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

Office of Science Awards 18 Million Hours of Supercomputing Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing February 1, 2006 - 11:14am Addthis WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman announced today that DOE's Office of Science has awarded a total of 18.2 million hours of computing time on some of the world's most powerful supercomputers to help researchers in government labs, universities, and industry working on projects ranging from designing more efficient engines to better understanding Parkinson's disease. The allocations of computing time are made under DOE's Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program, now in its

423

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Sri Lanka sites from DLR Sri Lanka sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Sri Lanka. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar Sri Lanka SWERA TILT UNEP Data application/zip icon Download data (zip, 368.2 KiB) Quality Metrics Level of Review Some Review Comment

424

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ghana from DLR Ghana from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ghana. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI Ghana GHI hourly data solar SWERA TILT TMY UNEP Data application/zip icon ghanaDLRtimeseries_103.zip (zip, 2.7 MiB) Quality Metrics Level of Review Some Review Comment

425

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

426

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Bangladesh sites from DLR Bangladesh sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in Bangladesh. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords Bangladesh DLR DNI GHI hourly data solar SWERA UNEP Data application/zip icon Download Data (zip, 1.2 MiB) Quality Metrics Level of Review Some Review Comment

427

Pantex celebrates three million hours without a lost time injury | National  

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

three million hours without a lost time injury | National three million hours without a lost time injury | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex celebrates three million hours without a ... Pantex celebrates three million hours without a lost time injury Posted By Office of Public Affairs NNSA Blog NNSA Blog

428

DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading  

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

265 Million Hours of Supercomputing Time to Advance 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects DOE Awards 265 Million Hours of Supercomputing Time to Advance Leading Scientific Research Projects January 17, 2008 - 10:38am Addthis WASHINGTON, DC -The U.S. Department of Energy's (DOE) Office of Science today announced that 265 million processor-hours were awarded to 55 scientific projects, the largest amount of supercomputing resource awards donated in the Department's history and three times that of last year's award. The projects-with applications from aeronautics to astrophysics, and from climate change to combustion research-were chosen based on their potential breakthroughs in the science and engineering research and their suitability of the project for using supercomputers. These awards will

429

Commercial and Residential Hourly Load Data Now Available on OpenEI! |  

Open Energy Info (EERE)

Commercial and Residential Hourly Load Data Now Available on OpenEI! Commercial and Residential Hourly Load Data Now Available on OpenEI! Home > Groups > Utility Rate Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 building load building load data commercial load data dataset datasets electric load data load data load profile OpenEI residential load TMY3 United States Load data Image source: NREL I am pleased to announce that simulated hourly residential and commercial building load datasets are now available on OpenEI. These datasets are available for all TMY3 locations in the United States. They contain hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). In addition to various

430

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

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

Ridge: Approaching 4 Million Safe Work Hours Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours March 11, 2013 - 12:03pm Addthis Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge Safety inspections are a key element in a nuclear cleanup environment with large pieces of cleanup equipment. Inspections are essential to continuing safety success and reaching new milestones.| Photo courtesy of Oak Ridge David Sheeley Editor/Writer for Environmental Management's Office of External Affairs Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4 million safe work hours

431

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Ethiopia from DLR Ethiopia from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Ethiopia. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GHI hourly data solar SWERA TILT UNEP Data application/zip icon Download data (zip, 2.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

432

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

Kenya from DLR Kenya from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2001 and 2002 for selected sites in Kenya. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords DLR DNI GEF GHI hourly data Kenya solar SWERA TILT UNEP Data application/zip icon Download data (zip, 3.9 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

433

DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to  

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

95 Million Hours of Supercomputing 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry DOE's Office of Science Awards 95 Million Hours of Supercomputing Time to Advance Research in Science, Academia and Industry January 8, 2007 - 9:59am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science announced today that 45 projects were awarded a total of 95 million hours of computing time on some of the world's most powerful supercomputers as part of its 2007 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. DOE's Under Secretary for Science Dr. Raymond Orbach presented the awards at the Council on Competitiveness in Washington, DC. Supercomputers are playing an increasingly important role in scientific

434

The Relationships between Network Lightning Surface and Hourly Observations of Thunderstorms  

Science Conference Proceedings (OSTI)

Relationships were established between lightning location data and surface hourly observations of thunderstorms for 132 stations in the northeastern United States. The relationships are based on statistics derived from 2 × 2 contingency tables ...

Ronald M. Reap; Richard E. Orville

1990-01-01T23:59:59.000Z

435

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.41  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.41 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

436

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.31  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.31 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

437

Cluster Analysis of Hourly Wind Measurements to Reveal Synoptic Regimes Affecting Air Quality  

Science Conference Proceedings (OSTI)

A clustering algorithm is developed to study hourly, ground-level wind measurements obtained from a network of monitoring stations positioned throughout the San Francisco Bay Area of California. A statistical model based on principal components ...

Scott Beaver; Ahmet Palazoglu

2006-12-01T23:59:59.000Z

438

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.40  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.40 meets Internal Revenue Code §179D, Notice 2006-52, dated April 10, 2009, for calculating commercial building energy and power cost savings.

439

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.34  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.34 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

440

Building Technologies Program: Tax Deduction Qualified Software- Hourly Analysis Program (HAP) version 4.50  

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

Provides required documentation that Hourly Analysis Program (HAP) version 4.50 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

Note: This page contains sample records for the topic "average hourly charts" 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

Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental Analysis  

Science Conference Proceedings (OSTI)

Historical hourly surface synoptic (airways) meteorological reports from around the United States have been digitized as part of the NOAA Climate Database Modernization Program. An important component is improvement of quality assurance ...

Daniel Y. Graybeal; Arthur T. DeGaetano; Keith L. Eggleston

2004-11-01T23:59:59.000Z

442

How much carbon dioxide (CO 2 ) is produced per kilowatt-hour ...  

U.S. Energy Information Administration (EIA)

How much carbon dioxide (CO 2) is produced per kilowatt-hour when generating electricity with fossil fuels? You can calculate the amount of CO2 produced per kWh for ...

443

NREL Develops Sub-Hour Solar Power Data Set (Fact Sheet), NREL...  

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

Sub-Hour Solar Power Data Set NREL data will help utilities incorporate solar energy into their electric power systems. Large-scale deployment of solar energy requires a favorable...

444

A novel 2-D model approach for the prediction of hourly solar radiation  

Science Conference Proceedings (OSTI)

In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year solar radiation data that is acquired and collected between August 1, ...

F. Onur Hocaoglu; Ö Nezih Gerek; Mehmet Kurban

2007-06-01T23:59:59.000Z

445

Analysis of Sub-Hourly Ramping Impacts of Wind Energy and Balancing Area Size (Poster)  

DOE Green Energy (OSTI)

WindPower 2008 conference sponsored by AWEA held in Houston, TX on June 1-4 2008. This poster illustrates the data collected for an analysis of sub-hourly ramping impacts of wind energy and balancing area size.

Milligan, M.; Kirby, B.

2008-06-01T23:59:59.000Z

446

Hourly Rainfall Changes in Response to Surface Air Temperature over Eastern Contiguous China  

Science Conference Proceedings (OSTI)

In this study, late-summer rainfall over eastern contiguous China is classified according to hourly intensity and the changes of moderate, intense, and extreme precipitation in response to variation of surface air temperature are analyzed. The e-...

Rucong Yu; Jian Li

2012-10-01T23:59:59.000Z

447

6-Hour to 1-Year Variance of Five Global Precipitation Sets  

Science Conference Proceedings (OSTI)

Three-hourly time series of precipitation from three high-resolution precipitation products [Tropical Rainfall Measuring Mission (TRMM) algorithm 3B-42, the Climate Prediction Center’s morphing method (CMORPH), and the Precipitation Estimation ...

Alex C. Ruane; John O. Roads

2007-08-01T23:59:59.000Z

448

Determination of Semivariogram Models to Krige Hourly and Daily Solar Irradiance in Western Nebraska  

Science Conference Proceedings (OSTI)

In this paper, linear and spherical semivariogram models were determined for use in kriging hourly and daily solar irradiation for every season of the year. The data used to generate the models were from 18 weather stations in western Nebraska. ...

G. G. Merino; D. Jones; D. E. Stooksbury; K. G. Hubbard

2001-06-01T23:59:59.000Z

449

Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water Electrolysis Production - DOE Hydrogen and Fuel Cells Program FY 2012 Annual Progress Report  

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

3 3 FY 2012 Annual Progress Report DOE Hydrogen and Fuel Cells Program Genevieve Saur (Primary Contact), Chris Ainscough. National Renewable Energy Laboratory (NREL) 15013 Denver West Parkway Golden, CO 80401-3305 Phone: (303) 275-3783 Email: genevieve.saur@nrel.gov DOE Manager HQ: Erika Sutherland Phone: (202) 586-3152 Email: Erika.Sutherland@ee.doe.gov Project Start Date: October 1, 2010 Project End Date: Project continuation and direction determined annually by DOE Fiscal Year (FY) 2012 Objectives Corroborate recent wind electrolysis cost studies using a * more detailed hour-by-hour analysis. Examine consequences of different system configuration * and operation for four scenarios, at 42 sites in five

450

Plate with a hole obeys the averaged null energy condition  

SciTech Connect

The negative energy density of Casimir systems appears to violate general relativity energy conditions. However, one cannot test the averaged null energy condition (ANEC) using standard calculations for perfectly reflecting plates, because the null geodesic would have to pass through the plates, where the calculation breaks down. To avoid this problem, we compute the contribution to ANEC for a geodesic that passes through a hole in a single plate. We consider both Dirichlet and Neumann boundary conditions in two and three space dimensions. We use a Babinet's principle argument to reduce the problem to a complementary finite disk correction to the perfect mirror result, which we then compute using scattering theory in elliptical and spheroidal coordinates. In the Dirichlet case, we find that the positive correction due to the hole overwhelms the negative contribution of the infinite plate. In the Neumann case, where the infinite plate gives a positive contribution, the hole contribution is smaller in magnitude, so again ANEC is obeyed. These results can be extended to the case of two plates in the limits of large and small hole radii. This system thus provides another example of a situation where ANEC turns out to be obeyed when one might expect it to be violated.

Graham, Noah; Olum, Ken D. [Department of Physics, Middlebury College, Middlebury, Vermont 05753 (United States); Institute of Cosmology, Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155 (United States)

2005-07-15T23:59:59.000Z

451

Table 19. Average Price of U.S. Coal Imports  

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

Price of U.S. Coal Imports Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 19. Average Price of U.S. Coal Imports (dollars per short ton) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Continent and Country of Origin April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change North America Total 147.86 138.39 191.01 144.86 197.96 -26.8 Canada 147.86 138.39 191.00 144.86 197.95 -26.8 Mexico - - 286.23 - 286.23 - South America Total 75.29 80.74 86.52 77.20 87.17 -11.4 Argentina - - 504.70 - 504.70 - Colombia 74.87 80.74 83.03 76.96 85.25 -9.7 Peru 87.09 - - 87.09 - - Venezuela 91.81 - 122.01 91.81 112.61 -18.5 Europe Total - 136.50 137.33 136.50 146.31 -6.7

452

Climate: monthly and annual average atmospheric pressure GIS data at  

Open Energy Info (EERE)

atmospheric pressure GIS data at atmospheric pressure GIS data at one-degree resolution of the World from NASA/SSE Dataset Summary Description (Abstract):Atmospheric Pressure (kPa)NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Nov 2007)22-year Monthly & Annual Average (July 1983 - June 2005)Parameter: Atmospheric Pressure (kPa)Internet: http://eosweb.larc.nasa.gov/sse/Note 1: SSE Methodology & Accuracy sections onlineNote 2: Lat/Lon values indicate the lower left corner of a 1x1 degree region. Negative values are south and west; positive values are north and east. Boundaries of the -90/-180 region are -90 to -89 (south) and -180 to -179 (west). The last region, 89/180, is bounded by 89 to 90 (north) and 179 to 180 (east). The mid-point of the region is +0.5 added to the the Lat/Lon value. These data are

453

Long-term average performance benefits of parabolic trough improvements  

DOE Green Energy (OSTI)

Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. The difficulty of achieving these improvements varies as does their potential for increasing parabolic trough performance. The purpose of this analysis is to quantify the relative merit of various technology advancements in improving the long-term average performance of parabolic trough concentrating collectors. The performance benefits of improvements are determined as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. The results are presented graphically to allow a quick determination of the performance merits of particular improvements. Substantial annual energy gains are shown to be attainable. Of the improvements evaluated, the development of stable back-silvered glass reflective surfaces offers the largest performance gain for operating temperatures below 150/sup 0/C. Above 150/sup 0/C, the development of trough receivers that can maintain a vacuum is the most significant potential improvement. The reduction of concentrator slope errors also has a substantial performance benefit at high operating temperatures.

Gee, R.; Gaul, H.W.; Kearney, D.; Rabl, A.

1980-03-01T23:59:59.000Z

455

REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources,  

E-Print Network (OSTI)

for expensive solar cells. In one design, for example, mirrors fo- cus light on a Stirling engine, a high-performance Stirling engine shuttles a working fluid, such as hydrogen gas, between two chambers (a). The cold chamber to a Stirling engine that converts heat to electricity. The mirrors in the concentrator are positioned to focus

456

2012 Brief: Average 2012 crude oil prices remain near 2011 levels ...  

U.S. Energy Information Administration (EIA)

Brent crude oil averaged $111.67 per barrel, slightly above the 2011 average of $111.26. West Texas Intermediate oil averaged $94.05 per barrel in 2012, ...

457

Prediction of clock time hourly global radiation from daily values over  

Open Energy Info (EERE)

Prediction of clock time hourly global radiation from daily values over Prediction of clock time hourly global radiation from daily values over Bangladesh Dataset Summary Description (Abstract): A need for predicting hourly global radiation exists for many locations particularly in Bangladesh for which measured values are not available and daily values have to be estimated from sunshine data. The CPRG model has been used to predict values of hourly Gh for Dhaka (23.770N, 90.380E), Chittagong (22.270N, 91.820E) and Bogra (24.850N, 89.370E) for = ±7.50, ±22.50, ±37.50, ±52.50, ±67.50, ±82.50 and ±97.50 i.e., for ±1/2, ±3/2, ±5/2, ±7/2, ±9/2, ±11/2, ±13/2 hours before and after solar noon and the computed values for different months are symmetrical about solar noon whereas for many months experimental data show a clear asymmetry. To obtain improved

458

|Archives| Charts| Companies/Links| Conferences| How A Fuel Cell Works | Patents| | Types of Fuel Cells | The Basics | Fuel Cell News | Basics on Hydrogen | Search|  

E-Print Network (OSTI)

on large fuel cells to generate electricity and power vehicles. If the feat in miniaturization Lilliputian bedeviled scientists at MIT and other energy-research laboratories. The first generation of fuel cell|Archives| Charts| Companies/Links| Conferences| How A Fuel Cell Works | Patents| | Types of Fuel

Lovley, Derek

459

NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change  

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

NOAA Awarded 2.6 NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008 WASHINGTON, DC - The U.S. Department of Energy's (DOE) Office of Science will make available more than 10 million hours of computing time for the U.S. Commerce Department's National Oceanic and Atmospheric Administration (NOAA) to explore advanced climate change models at three of DOE's national laboratories as part of a three-year memorandum of understanding on collaborative climate research signed today by the two agencies. NOAA will work with climate change models as well as perform near real-time high-impact (non-production) weather prediction research using computing time on DOE Office of Science resources including two of the world's top

460

Solar: hourly global horizontal (GHI) and direct normal (DNI) data for  

Open Energy Info (EERE)

China sites from DLR China sites from DLR Dataset Summary Description (Abstract): Hourly time series of GHI and DNI for the years 2000, 2002 and 2003 for selected sites in China. The hourly data are stored in ASCII files for each station. Please read the documentation file for additional information. (Purpose): For the selected sites, the hourly time series can be used for the simulation of Photovoltaic (PV)-systems or Concentrating Solar Power (CSP)-systems. Source DLR - Deutsches Zentrum für Luft- und Raumfahrt Date Released October 31st, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords China DLR DNI GEF GHI solar SWERA UNEP Data application/zip icon Download Data (zip, 953.6 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

Note: This page contains sample records for the topic "average hourly charts" 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

Oak Ridge: Approaching 4 Million Safe Work Hours | Department of Energy  

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

Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours Oak Ridge: Approaching 4 Million Safe Work Hours February 27, 2013 - 12:00pm Addthis Mike Tidwell performs a leak check and inspection on propane tanks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks Mike Tidwell performs a leak check and inspection on propane tanks Inspections ensure hoisting and rigging equipment performs correctly so employees can safely complete their tasks OAK RIDGE, Tenn. - Workers at URS | CH2M Oak Ridge (UCOR), the prime contractor for EM's Oak Ridge cleanup, are approaching a milestone of 4

462

On a QUEST to Save Oakland 8.4 Gigawatt Hours | Department of Energy  

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

On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours On a QUEST to Save Oakland 8.4 Gigawatt Hours August 13, 2010 - 3:38pm Addthis Lorelei Laird Writer, Energy Empowers Derrick Rebello wants to make the downtown corridor of Oakland, California, one of the greenest in the nation. Through the new Downtown Oakland Targeted Measure Saturation Project, he and his company, Quantum Energy Services and Technologies (QUEST), are targeting the city's 120-block business district to make as many buildings as possible highly energy efficient. "The goal is to really leave no stone unturned," said Rebello, president of QUEST. "We are trying to achieve 80 percent participation. And of those participating buildings, we are focusing on getting a 20 percent reduction

463

Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint  

Science Conference Proceedings (OSTI)

High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generating coherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

Hummon, M.; Ibanez, E.; Brinkman, G.; Lew, D.

2012-12-01T23:59:59.000Z

464

Amp-hour counting charge control for photovoltaic hybrid power systems  

SciTech Connect

An amp-hour counting battery charge control algorithm has been defined and tested using the Digital Solar Technologies MPR-9400 microprocessor based photovoltaic hybrid charge controller. This work included extensive laboratory and field testing of the charge algorithm on vented lead-antimony and valve regulated lead-acid batteries. The test results have shown that with proper setup amp-hour counting charge control is more effective than conventional voltage regulated sub-array shedding in returning the lead-acid battery to a high state of charge.

Hund, T.D. [Sandia National Labs., Albuquerque, NM (United States); Thompson, B. [Biri Systems, Ithaca, NY (United States)

1997-10-01T23:59:59.000Z

465

Six- and three-hourly meteorological observations from 223 USSR stations  

SciTech Connect

This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A. [All-Russian Research Inst. of Hydrometeorologicl Information, Obninsk (Russia). World Data Centre; Kaiser, D.P. [Oak Ridge National Lab., TN (United States)

1995-04-01T23:59:59.000Z

466

NETL: News Release - DOE Awards Local Researcher with 3 Million Hours on  

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

8, 2008 8, 2008 DOE Awards Local Researcher with 3 Million Hours on Premier Supercomputer Morgantown, W.Va.-The U.S. Department of Energy's (DOE) Office of Science announced today that a scientist at DOE's National Energy Technology Laboratory (NETL) has been awarded 3 million hours of processor time to conduct advanced research on fossil fuel power plants on one of the world's most powerful supercomputers. http://energy.gov/news/5849.htm The Office of Science awarded the supercomputer hours to Madhava Syamlal, a scientist at NETL, as one of 55 nationwide recipients who received a total of 265 million processor hours. Syamlal, along with his team of co-investigators, will use the powerful Cray XT4 supercomputer at ORNL to vastly increase the speed of coal gasifier simulations to aid in the design and optimization of the power plants. His team is composed of Thomas O'Brien (NETL), Chris Guenther (NETL), Sreekanth Pannala (ORNL), Ramanan Sankaran (ORNL), and Aytekin Gel (Aeolus Research Inc.).

467

Thirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago  

E-Print Network (OSTI)

than 30 countries signed a deal on Tuesday to build the world's most advanced nuclear fusion reactor nuclear reactors, but critics argue it could be at least 50 years before a commercially viable reactorThirty states sign ITER nuclear fusion plant deal 1 hour, 28 minutes ago Representatives of more

468

NREL RSF Weather Data 2011 A csv containing hourly weather data...  

Open Energy Info (EERE)

NREL RSF Weather Data 2011 A csv containing hourly weather data at NREL's Research and Support Facility (RSF) for 2011. 2013-02-12T18:36:26Z 2013-02-12T18:36:26Z I am submitting...

469

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

470

Sams Teach Yourself Paint Shop Pro 6 in 24 Hours, 1st edition  

Science Conference Proceedings (OSTI)

From the Publisher:This easily accessible tutorial uses a friendly, conversational approach to teach you the basics of Paint Shop Pro 6. With its careful, step-by-step approach, Sams Teach Yourself Paint Shop Pro 6 in 24 Hours makes it easy even for ...

T. Michael Clark; Michael Clark / Kris Tufto

1999-11-01T23:59:59.000Z

471

REDCap 102 Training Session This two-hour session presented by Heather Kim  

E-Print Network (OSTI)

at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis Core, and is offeredREDCap 102 Training Session This two-hour session presented by Heather Kim will explore some Capture) is a secure, web- based application for building and managing online databases for the collection

Illinois at Chicago, University of

472

REDCap 102 Training Session This two-hour session presented by John O'Keefe  

E-Print Network (OSTI)

REDCap team at Vanderbilt. This version of REDCap is main- tained by the UIC Design and Analysis CoreREDCap 102 Training Session This two-hour session presented by John O'Keefe will explore some Data Capture) is a secure, web- based application for building and managing online databases

Illinois at Chicago, University of

473

Climatology of Heavy Rain Events in the United States from Hourly Precipitation Observations  

Science Conference Proceedings (OSTI)

Flash flooding is frequently associated with heavy precipitation (defined here as ?1 in. h?1) occurring over a short period of time. To begin a study of flash flood–producing rain events, the Hourly Precipitation Dataset (HPD) is used to develop ...

Harold E. Brooks; David J. Stensrud

2000-04-01T23:59:59.000Z

474

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong) photon Z boson W bosons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum

Fygenson, Deborah Kuchnir

475

From the Big Bang to the Higgs Boson in Less Than an Hour  

E-Print Network (OSTI)

From the Big Bang to the Higgs Boson in Less Than an Hour Jeffrey D neutrino Z0 W + W -g gluon (8) photon Z boson W bosons Quarks Leptons H Higgs boson Gauge bosons (force field quanta) Higgs boson and vacuum expectation value Strong force EM force Weak force #12;Par7cles

Fygenson, Deborah Kuchnir

476

Fuel Cell Stacks Still Going Strong After 5,000 Hours  

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

Two fuel cell stacks developed by FuelCell Energy in partnership with Versa Power Systems achieved 5,000 hours of service in February, meeting a goal of the U.S. Department of Energy's Solid State Energy Conversion Alliance.

477

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info  

E-Print Network (OSTI)

EMERGENCY CONTACTS for DOWNER LAB Contact Phone After Hours Purpose/Additional Info UT Police.utexas.edu/facilities/services for further information and non-emergency service request forms) Environmental Health & Safety 471-3511 911 emergencies, call 911 or go to a local hospital emergency room. (see healthyhorns.utexas.edu/emergencies

Shvets, Gennady

478

Development of global hourly 0.5-degree land surface air temperature datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle and day-to-day variation are also needed for a variety of applications. Global long-term hourly SAT observational data, ...

Aihui Wang; Xubin Zeng

479

Development of Global Hourly 0.5° Land Surface Air Temperature Datasets  

Science Conference Proceedings (OSTI)

Land surface air temperature (SAT) is one of the most important variables in weather and climate studies, and its diurnal cycle is also needed for a variety of applications. Global long-term hourly SAT observational data, however, do not exist. ...

Aihui Wang; Xubin Zeng

2013-10-01T23:59:59.000Z

480

Wide Web) Fusion Education Project Home Page: http://FusEdWeb.pppl.gov/CPEP/Chart.html  

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

Datos complementarios, información reciente y material educativo en Internet (World Datos complementarios, información reciente y material educativo en Internet (World Wide Web) Fusion Education Project Home Page: http://FusEdWeb.pppl.gov/CPEP/Chart.html CPEP Home Page: http://pdg.lbl.gov/cpep.html CPEP Product Information: http://pdg.lbl.gov/cpep/cpep_how_to_order.html CIEMAT Homepage: http://www-fusion.ciemat.es/ TEC-Homepages FZJ/IPP Juelich: http://www.fz-juelich.de/ipp/ ERM-KMS Brussels: http://fusion.rma.ac.be/ FOM Rijnhuizen: http://www.rijnh.nl/ Estas páginas enlazan con diferentes instituciones y organismos activos en el campo de la fusión controlada. Las reacciones de fusión son las que liberan la energía que alimenta el Sol y las estrellas. Para producir esta energía hay que confinar plasmas de muy alta tem- peratura durante un tiempo lo suficientemente largo.

Note: This page contains sample records for the topic "average hourly charts" 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

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

3 Average Square Footage of West Homes, by Housing Characteristics, 2009" 3 Average Square Footage of West Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total West",24.8,1708,1374,800,628,506,294 "West Divisions and States" "Mountain",7.9,1928,1695,1105,723,635,415 "Mountain North",3.9,2107,1858,912,776,684,336 "Colorado",1.9,2082,1832,722,896,788,311 "Idaho, Montana, Utah, Wyoming",2,2130,1883,1093,691,610,354

482

,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"  

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

1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" 1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Midwest",25.9,2272,1898,1372,912,762,551 "Midwest Divisions and States" "East North Central",17.9,2251,1869,1281,892,741,508 "Illinois",4.8,2186,1911,1451,860,752,571 "Michigan",3.8,1954,1559,962,729,582,359 "Wisconsin",2.3,2605,2091,1258,1105,887,534

483

Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip  

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

5: March 22, 5: March 22, 2010 Average Vehicle Trip Length to someone by E-mail Share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Facebook Tweet about Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Twitter Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Google Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Delicious Rank Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Digg Find More places to share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on AddThis.com... Fact #615: March 22, 2010 Average Vehicle Trip Length According to the latest National Household Travel Survey, the average trip

484

Thermal performance and economics of solar space and hot water heating system on Long Island, New York. [F-chart method  

DOE Green Energy (OSTI)

A practical method for designing solar space and water heating systems, called the ''f-chart'' method, is described with the results calculated for Long Island, New York. The solar heating systems to be considered consist of a solar collector which uses either liquid or air, an energy storage which can be either a water tank or a pebble bed, and an auxiliary energy source which supplies heat when solar energy is not available. Solar heated water from storage can be used either for space heating or for preheating the domestic hot water. The results of the ''f-chart'' analysis can simply be expressed as follows. For the thermal performance, Annual Load Fraction Supplied by Solar Energy versus Collector Area, and for the economic performance, Life Cycle Cost Savings versus Collector Area.

Auh, P C

1978-06-01T23:59:59.000Z

485

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.40  

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

Hourly Analysis Program (HAP) version 4.40.0.61 Hourly Analysis Program (HAP) version 4.40.0.61 On this page you'll find information about the HAP version 4.40.0.61 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

486

Effects of electric utility residential conservation programs on hourly load profiles  

SciTech Connect

This paper discusses the potential of using hourly energy simulation models to determine load shape changes resulting from energy conservation activities. It is determined that shifts in the time and the day of the monthly peak demand may occur as the level of conservation increases. The shifting of the peak was from weather-sensitive periods to less-weather-sensitive periods. Seasonal load profile changes resulting from energy conservation were demonstrated. A statistically significant quadratic relationship was identified between the annual percent reduction and annual percent energy conserved for the different distribution systems examined. The relationships are examined between different levels of residential energy conservation from weatherization and heat pumps on the hourly load profiles of different power distribution systems within the TVA power service area.

Harper, J.P.; Sieber, R.E.

1983-01-01T23:59:59.000Z

487

Building Technologies Program: Tax Deduction Qualified Software - Hourly Analysis Program (HAP) version 4.41  

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

Hourly Analysis Program (HAP) version 4.41.0.6 Hourly Analysis Program (HAP) version 4.41.0.6 On this page you'll find information about the HAP version 4.41.0.6 qualified computer software (buildings.energy.gov/qualified_software.html), which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings. Date Documentation Received by DOE: 10 April 2009 Statements in quotes are from the software developer. Internal Revenue Code §179D (c)(1) and (d) Regulations Notice 2006-52, Section 6 requirements as amplified by Notice 2008-40, Section 4 requirements. (1) The name, address, and (if applicable) web site of the software developer; Carrier / United Technologies Corporation Carrier Software Systems Bldg TR-4, Room 400A P. O. Box 4808 Syracuse, New York 13221

488

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R.  

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

Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Six- and Three-Hourly Meteorological Observations from 223 Former U.S.S.R. Stations (NDP-048) DOI: 10.3334/CDIAC/cli.ndp048 image PDF image Data image Previous Data (data through 1990, published in 1998) image Investigators Contributed by V. N. Razuvaev, E. B. Apasova, R. A. Martuganov All-Russian Research Institute of Hydrometeorological Information-World Data Centre Obninsk, Russia Prepared by D. P. Kaiser and G. P. Marino (contact: kaiserdp@ornl.gov) Carbon Dioxide Information Analysis Center Oak Ridge National Laboratory Oak Ridge, Tennessee Date Published: November 2007

489

Y-12 Construction hits one million-hour mark without a lost-time accident |  

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

Construction hits one ... Construction hits one ... Y-12 Construction hits one million-hour mark without a lost-time accident Posted: August 30, 2012 - 5:30pm The B&W Y-12 Direct-Hire Construction team has worked one million hours, covering a 633-day period, without a lost-time injury. Some 285 people including building trade crafts, non-manual staff and escorts worked without a lost-time accident during this period. The Construction team's last lost workday was in September 2010. A celebration was held today to mark the safety milestone. Senior leaders from National Nuclear Security Administration Production Office (NPO) and B&W Y-12 were on hand to congratulate the workers. Jim Haynes, B&W Y-12 senior vice president and deputy general manager for projects, said, "Congratulations are due the men and women of

490

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster  

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

Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Hospital Triage in the First 24 Hours after a Nuclear or Radiological Disaster Berger, ME; Leonard, RB; Ricks, RC; Wiley, AL; Lowry, PC; Flynn, DF Abstract: This article addresses the problems emergency physicians would face in the event of a nuclear or radiological catastrophe. It presents information about what needs to be done so that useful information will be gathered and reasonable decisions made in the all important triage period. A brief introductory explanation of radiation injury is followed by practical guides for managing the focused history, physical exam, laboratory tests, initial treatment, and disposition of victims of acute radiation syndrome and combined injury. The guides are not intended to serve as a hospital's "emergency

491

Hourly analysis of a very large topically categorized web query log  

E-Print Network (OSTI)

We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a generalpurpose commercial web search service. Previously, query logs have been studied from a single, cumulative view. In contrast, our analysis shows changes in popularity and uniqueness of topically categorized queries across the hours of the day. We examine query traffic on an hourly basis by matching it against lists of queries that have been topically pre-categorized by human editors. This represents 13 % of the query traffic. We show that query traffic from particular topical categories differs both from the query stream as a whole and from other categories. This analysis provides valuable insight for improving retrieval effectiveness and efficiency. It is also relevant to the development of enhanced query disambiguation, routing, and caching algorithms.

Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder

2004-01-01T23:59:59.000Z

492

Committee Structure Chart  

Science Conference Proceedings (OSTI)

Committee Structure as of May 2013. Board of. Directors. Executive. Committee. President. Vice-President. Financial Planning. Officer. Past President. Member &  ...

493

Description of Chart  

U.S. Energy Information Administration (EIA)

Shape . Star, Label: , District of Columbia Deregulation: YES Retail Choice: YES Click for more information (State Restructuring Activities: None since ...

494

2011 – 2012 Organizational Chart  

Science Conference Proceedings (OSTI)

... Private Sector Member, John Wind, Bizerba USA, Inc. NTETC Weighing Sector. ... Private Sector Member, Nigel Mills, Hobart Corporation. ...

2013-07-08T23:59:59.000Z

495

mag div org chart  

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

Magnet Division Magnet Division Peter Wanderer Division Head Administrative Support Diana Votruba (P/T), Ron Prwivo Division QA Rep. - Henry Hocker Building Manager - John Cintorino ES&H Coordinator- Walter Czejak Training Coordinator - Joyce Fortunato ECR - F. Craner Mechanical Engineering Mike Anerella Magnet Design, R&D, Testing Peter Wanderer Electrical Systems Piyush Joshi Technical Support R. Ceruti D. Carleton M. Hartsough D. Ince G. Jochen T. Levine D. Milidantri F. Teich T. Van Winckel Project Engineering J. Cozzolino A. Marone S. Plate J. Schmalzle __________________________________

496

NREL Wind Organization Chart  

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

/16/13 /16/13 National Wind Technology Center Fort Felker, Center Director Wind Technology Research & Development Fort Felker, Group Manager (Acting) Wind Innovation & Reliability Jason Cotrell, Supervisor - Palmer Carlin - Lee Fingersh - Paul Fleming - Jim Johnson - Bonnie Jonkman - Jon Keller - Andrew Scholbrock - Shawn Sheng - Alan Wright Joint Appointees: - Katie Johnson (CSM) Students - Brendan Geels Post Docs - Yi Guo - Jason Laks Contractors: - Brian McNiff - Lucy Pao (CU) Aero & Systems Dynamics Pat Moriarty, Supervisor - Marshall Buhl - Matt Churchfield - Andrew Clifton - Rick Damiani - Caroline Draxl - Dennis Elliott - Steve Haymes - Jason Jonkman - Khanh Nguyen - Andrew Platt - Scott Schreck - George Scott - Diwanshu Shekhar

497

Drill Press Speed Chart  

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

operating speeds (RPM) Accessory Softwood (Pine) Hardwood (Hard Maple) Acrylic Brass Aluminum Steel Shop Notes Twist drill bits 116" - 316" 14" - 38" 716"- 58" 11...

498

Chemical Resistance Chart  

Science Conference Proceedings (OSTI)

... 0. 53. Ethylene Oxide, 21, 4, 17, 5, 1, 5, 1, 5, 189, 2, 48, 4. 54. Hydrogen Fluoride, 210, 2, 1, 5, 142, 1, 1, 5, ND, 0, 6, 3. 55. Methyl Chloride, ...

499

DOE Organizational Chart  

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

Sciences Biological & Environmental Research Fusion Energy Science High Energy Physics Nuclear Physics Workforce Development for Teachers & Scientists U.S. Energy Information...

500

NIST Pay Charts  

Science Conference Proceedings (OSTI)

... Rest of US, 2011*, 2010*, 2009*, 2008, 2007, 2006, 2005, 2004*, 2003*, 2002*. Seattle, WA, 2011*, 2010*, 2009*, 2008, 2007, 2006, N/A, N/A, N/A, ...

2013-05-30T23:59:59.000Z