Powered by Deep Web Technologies
Note: This page contains sample records for the topic "table state estimated" 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

FY 2009 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState6State Tables

2

FY 2008 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState Table

3

FY 2006 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in thousands - OMB6State

4

FY 2011 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganizationtotal FY 2010 LDRD51The total1State

5

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2012, United States  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy ExpenditureET1.

6

Is newer better? Penn World Table Revisions and their impact on growth estimates  

E-Print Network [OSTI]

This paper sheds light on two problems in the Penn World Table (PWT) GDP estimates. First, we show that these estimates vary substantially across different versions of the PWT despite being derived from very similar ...

Johnson, Simon

7

Measurement enhancement for state estimation  

E-Print Network [OSTI]

of a few phasor measurement units (PMU) in the system can significantly increase measurement redundancy, which in turn can improve the capability of state estimation to detect and identify bad data, even during loss of measurements. Meanwhile, strategic...

Chen, Jian

2009-05-15T23:59:59.000Z

8

SAN JOS STATE UNIVERSITY TABLE OF CONTENTS  

E-Print Network [OSTI]

....................................... L. Utility Tunnel System ......................... IV. Sustainability and Energy University Len Pettis Chief of Plant, Energy & Utilities ­ California State University Office. Energy Use and Electrical Load Demand Appendix G. Strategic Energy Plan ­ 11/14/12 DRAFT Appendix H

Su, Xiao

9

Table C3. Primary Energy Consumption Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajorC3.

10

Table E10. Residential Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.

11

Table E11. Commercial Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.1.

12

Table E13. Transportation Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:0.1.3.

13

Table E14. Electric Power Sector Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary

14

Table E3. Residential Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.

15

Table E4. Commercial Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.

16

Table E5. Industrial Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.

17

Table E6. Transportation Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.E6.

18

Table E7. Electric Power Sector Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5.E4.E5.E6.E7.

19

Table 4. Estimation Results for PAD District Regions  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.5 58.955.1Effective

20

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" 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

Table 42. Residual Fuel Oil Prices by PAD District and State  

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

Information AdministrationPetroleum Marketing Annual 1999 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

22

Table 42. Residual Fuel Oil Prices by PAD District and State  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

23

Table 42. Residual Fuel Oil Prices by PAD District and State  

Gasoline and Diesel Fuel Update (EIA)

Information Administration Petroleum Marketing Annual 1995 245 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

24

State energy data report 1993: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

NONE

1995-07-01T23:59:59.000Z

25

State energy data report 1995 - consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

NONE

1997-12-01T23:59:59.000Z

26

State Energy Data Report, 1991: Consumption estimates  

SciTech Connect (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

Not Available

1993-05-01T23:59:59.000Z

27

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

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

Bernard, Olivier

28

Frequency tracking and parameter estimation for robust quantum state estimation  

SciTech Connect (OSTI)

In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.

Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)

2011-11-15T23:59:59.000Z

29

Parallel State Estimation Assessment with Practical Data  

SciTech Connect (OSTI)

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

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

2014-10-31T23:59:59.000Z

30

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1999-02-01T23:59:59.000Z

31

Table 42. Residual Fuel Oil Prices by PAD District and State  

Gasoline and Diesel Fuel Update (EIA)

45.5 49.2 W W 44.5 45.4 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

32

Table 42. Residual Fuel Oil Prices by PAD District and State  

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

55.1 47.1 W W 55.1 46.2 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

33

Sub-Second Parallel State Estimation  

SciTech Connect (OSTI)

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

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

2014-10-31T23:59:59.000Z

34

Distributed Robust Power System State Estimation  

E-Print Network [OSTI]

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

Kekatos, Vassilis

2012-01-01T23:59:59.000Z

35

FY 2014 Budget Request State Table | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehicles »Exchange Visitors Program ExchangeLaboratory Table FY 2014

36

Impact of PMU Technology in State Estimation  

SciTech Connect (OSTI)

Recent blackouts and the need to manage larger and larger power systems closer to their stability limits are driving electricity utilities to deploy synchronized phasor measurements (PMU) for wide area monitoring and control. At the same time, modern TSOs need accurate, fast and reliable estimation of their networks' real-time conditions. State Estimator (SE), a fundamental function in dispatching control centers, is expected to perform reliably around the clock since it provides the foundation for subsequent critical security analyses, market revenue calculations, etc. PMU technology provides accurate, satellite-synchronized measurements of both magnitude and angle, which naturally fit in the SE algorithm and enhance its robustness and the quality of the results. This paper presents current results of ongoing experiences with electric utilities on the usage of PMU data in state estimation. It focuses on practical implementation aspects, such as data communication and interfacing to the control center EMS, metrics for evaluation of State Estimator results and improvements in state estimation behavior and results thanks to PMU data.

Avila-Rosales, Rene [AREVA T& D; Rice, Mark [AREVA T& D; Lopez, Rafael [AREVA T& D; Beard, Lisa [Tennessee Valley Authority (TVA); Mathur, Tanya [Tennessee Valley Authority (TVA); Galvan, Floyd [Entergy; Gupta, Vinit [Entergy; James, Lambert [Manitoba Hydro; Graffy, James [Bonneville Power Administration (BPA); Papic, Milorad [Idaho Power Company

2008-01-01T23:59:59.000Z

37

State energy data report 1992: Consumption estimates  

SciTech Connect (OSTI)

This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

Not Available

1994-05-01T23:59:59.000Z

38

SWOT Satellite Mission: Combined State Parameter Estimation  

E-Print Network [OSTI]

river basins LISFLOOD-FP, a raster- based inundation model Based on a 1-D kinematic wave equation, 27 February 2008 #12;2 Outline Surface Water Ocean Topography (SWOT) satellite mission The state-parameter estimation problem Data assimilation experiments ­ Water depth ­ Discharge ­ Channel width ­ Roughness

Washington at Seattle, University of

39

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

40

PMU Deployment for Optimal State Estimation Performance  

E-Print Network [OSTI]

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

Roy, Sumit

Note: This page contains sample records for the topic "table state estimated" 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

Estimated United States Transportation Energy Use 2005  

SciTech Connect (OSTI)

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

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

2011-11-09T23:59:59.000Z

42

Estimating Power System Dynamic States Using Extended Kalman Filter  

SciTech Connect (OSTI)

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

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

2014-10-31T23:59:59.000Z

43

FPEOS: A First-Principles Equation of State Table of Deuterium for Inertial Confinement Fusion Applications  

E-Print Network [OSTI]

FPEOS: A First-Principles Equation of State Table of Deuterium for Inertial Confinement Fusion) Understanding and designing inertial confinement fusion (ICF) implosions through radiation- hydrodynamics. To minimize the drive energy for ignition, the imploding shell of DT- fuel needs to be kept as cold

Militzer, Burkhard

44

Table S1. Cotton extent and Mexican free-tailed bat population size per county. County State  

E-Print Network [OSTI]

File S1 Table S1. Cotton extent and Mexican free-tailed bat population size per county. County State Bat population size Mean cotton hectares* County State Bat population size Mean cotton hectares 28,255 4,127 *From 1990 to 2008 Table S2. Upland and Pima cotton price over time. Year Upland Cotton

Russell, Amy L.

45

Table 6. Energy intensity by State (2000-2011  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 Residential propane priceDakotaEnergy intensity by State

46

aided state estimation: Topics by E-print Network  

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

estimated from the information content Szilagyi, Jozsef 7 STATE AID TO ENTERPRISES IN CROATIA IN 2001 CiteSeer Summary: State aid to enterprises is a form of government...

47

Table 17. Estimated natural gas plant liquids and dry natural gas content of total wet natural gas proved reserves, 2013  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statisticsRecoverableEstimated

48

Table E8. Primary Energy, Electricity, and Total Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table

49

Hybrid Systems State estimation for hybrid systems: applications  

E-Print Network [OSTI]

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

Tomlin, Claire

50

Quantum phase estimation using a multi-headed cat state  

E-Print Network [OSTI]

It was recently shown that an entangled coherent state, which is a superposition of two different coherent states, can surpass the performance of N00N state in estimating an unknown phase-shift. This may hint at further enhancement in phase estimation by incorporating more component states in the superposition of resource state. We here study a four-headed cat state (4HCS), a superposition of four different coherent states, and propose its application to quantum phase estimation. We first investigate how the 4HCS is more nonclassical than a 2HCS in view of some nonclassical measures including sub-Poissonian statistics, negativity of Wigner distribution, and entanglement potential. We then demonstrate the enhanced performance in phase estimation by employing an entangled state via the 4HCS, which can surpass that of the 2HCS particularly in the regime of small average photon number. Moreover, we show that an entangled state modified from the 4HCS can further enhance the phase estimation even in the regime of large average photon number under a photon-loss channel. Our investigation further extends to incorporate an increasingly large number of component states in the resource superposition state and clearly show its merit in phase estimation.

Su-Yong Lee; Chang-Woo Lee; Hyunchul Nha; Dagomir Kaszlikowski

2015-03-12T23:59:59.000Z

51

Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor U.S.6:6.

52

Table C2. Energy Consumption Estimates for Major Energy Sources in Physical Units, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor

53

Table C4. Total End-Use Energy Consumption Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajorC3.C4.

54

Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic:

55

Table E2. Total End-Use Energy Price Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5. Energy6.E2.

56

Table E9. Total End-Use Energy Expenditure Estimates, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy Expenditure

57

State energy data report: Consumption estimates, 1960--1987  

SciTech Connect (OSTI)

The State Energy Data Report presents estimates of annual energy consumption at the state and national levels by major economic sector and by principal energy type for 1960 through 1987. Included in the report are documentation describing how the estimates were made for each energy source, sources of all input data, and a summary of changes from the State Energy Data Report published in April 1988.

Not Available

1989-04-20T23:59:59.000Z

58

Distributed Dynamic State Estimation with Extended Kalman Filter  

SciTech Connect (OSTI)

Increasing complexity associated with large-scale renewable resources and novel smart-grid technologies necessitates real-time monitoring and control. Our previous work applied the extended Kalman filter (EKF) with the use of phasor measurement data (PMU) for dynamic state estimation. However, high computation complexity creates significant challenges for real-time applications. In this paper, the problem of distributed dynamic state estimation is investigated. One domain decomposition method is proposed to utilize decentralized computing resources. The performance of distributed dynamic state estimation is tested on a 16-machine, 68-bus test system.

Du, Pengwei; Huang, Zhenyu; Sun, Yannan; Diao, Ruisheng; Kalsi, Karanjit; Anderson, Kevin K.; Li, Yulan; Lee, Barry

2011-08-04T23:59:59.000Z

59

Production and analysis of a Southern Ocean state estimate  

E-Print Network [OSTI]

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

Mazloff, Matthew R

2006-01-01T23:59:59.000Z

60

Table Search (or Ranking Tables)  

E-Print Network [OSTI]

;Table Search #3 #12;Outline · Goals of table search · Table search #1: Deep Web · Table search #3 search Table search #1: Deep Web · Table search #3: (setup): Fusion Tables · Table search #2: WebTables ­Version 1: modify document search ­Version 2: recover table semantics #12;Searching the Deep Web store

Halevy, Alon

Note: This page contains sample records for the topic "table state estimated" 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

Electric Grid State Estimators for Distribution Systems with Microgrids  

E-Print Network [OSTI]

46556 Emails: {jhuang6,vgupta2,huang}@nd.edu Abstract--In the development of smart grid, state] into the distribution systems of the power grid. Such integration complicates the operation of distribution systemsElectric Grid State Estimators for Distribution Systems with Microgrids Jing Huang, Vijay Gupta

Gupta, Vijay

62

Estimate the Electromechanical States Using Particle Filtering and Smoothing  

SciTech Connect (OSTI)

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

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

2012-07-22T23:59:59.000Z

63

Table 3. Estimation Results for National and Sub-PAD District Regions  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation Results for National

64

Bounds on Quantum Multiple-Parameter Estimation with Gaussian State  

E-Print Network [OSTI]

We investigate the quantum Cramer-Rao bounds on the joint multiple-parameter estimation with the Gaussian state as a probe. We derive the explicit right logarithmic derivative and symmetric logarithmic derivative operators in such a situation. We compute the corresponding quantum Fisher information matrices, and find that they can be fully expressed in terms of the mean displacement and covariance matrix of the Gaussian state. Finally, we give some examples to show the utility of our analytical results.

Yang Gao; Hwang Lee

2014-07-28T23:59:59.000Z

65

Incorporation of Lagrangian measurements in freeway traffic state estimation  

E-Print Network [OSTI]

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

66

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

E-Print Network [OSTI]

The Lithium-Ion Cell: Model, State Of Charge Estimation and Battery Management System Tutor degradation mechanisms of a Li-ion cell based on LiCoO2", Journal of Power Sources #12;Lithium ions and e and Y. Fuentes. Computer simulations of a lithium-ion polymer battery and implications for higher

Schenato, Luca

67

Optimal Estimation of States in Quantum Image Processing  

E-Print Network [OSTI]

An optimal estimator of quantum states based on a modified Kalman Filter is presented in this work. Such estimator acts after state measurement, allowing to obtain an optimal estimation of quantum state resulting in the output of any quantum image algorithm. Besides, a new criteria, logic, and arithmetic based on projections onto vertical axis of Bloch Sphere exclusively are presented too. This approach will allow us: 1) a simpler development of logic and arithmetic quantum operations, where they will closer to those used in the classical digital image processing algorithms, 2) building simple and robust classical-to-quantum and quantum-to-classical interfaces. Said so far is extended to quantum algorithms outside image processing too. In a special section on metrics and simulations, three new metrics based on the comparison between the classical and quantum versions algorithms for filtering and edge detection of images are presented. Notable differences between the results of classical and quantum versions of such algorithms (outside and inside of quantum computer, respectively) show the need for modeling state and measurement noise inside estimation scheme.

Mario Mastriani

2014-06-19T23:59:59.000Z

68

Estimation of steady-state basic parameters of stars  

E-Print Network [OSTI]

From a minimum of total energy of celestial bodies, their basic parameters are obtained. The steady-state values of the mass, radius, and temperature of stars and white dwarfs, as well as masses of pulsars are calculated. The luminosity and giromagnetic ratio of celestial bodies are estimated. All the obtained values are in a satisfactory agreement with observation data.

B. V. Vasiliev

2000-03-30T23:59:59.000Z

69

Phasor Measurement Unit Data in Power System State Estimation  

E-Print Network [OSTI]

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

70

Optimal PMU Placement Evaluation for Power System Dynamic State Estimation  

SciTech Connect (OSTI)

Abstract - The synchronized phaor measurements unit (PMU), developed in the 1980s, is concidered to be one of the most important devices in the future of power systems. The recent development of PMU technology provides high-speed, precisely synchronized sensor data, which has been found to be usefule for dynamic, state estimation of power the power grid.

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

2010-10-10T23:59:59.000Z

71

Multiple phase estimation for arbitrary pure states under white noise  

E-Print Network [OSTI]

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

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

2014-09-08T23:59:59.000Z

72

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

E-Print Network [OSTI]

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

Freeman, Matthew A

2006-10-30T23:59:59.000Z

73

Estimated Carbon Dioxide Emissions in 2008: United States  

SciTech Connect (OSTI)

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

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

2011-04-01T23:59:59.000Z

74

Estimated United States Residential Energy Use in 2005  

SciTech Connect (OSTI)

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

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

2011-12-12T23:59:59.000Z

75

Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration  

SciTech Connect (OSTI)

This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.

Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

2013-12-31T23:59:59.000Z

76

Table 23. Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2013  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: ReportedEnergy Intensity,

77

Table E15. Energy Prices and Expenditures, Ranked by State, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5. Energy

78

Table E16. Motor Gasoline Prices and Expenditures, Ranked by State, 2012  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary5. Energy6.

79

Table HC1-7a. Housing Unit Characteristics by Four Most Populated States,  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy1a.5a. Housing7a.

80

Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy1a.5a.9a.0 Home

Note: This page contains sample records for the topic "table state estimated" 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

Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use Energy1a.5a.9a.0 Home7

82

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0b.

83

Improving parameter estimation and water table depth simulation in a land surface model using GRACE water storage and estimated base flow data  

E-Print Network [OSTI]

2007), Estimating ground water storage changes in thestorage (i.e. , all of the snow, ice, surface water, soil moisture, and ground-

Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H

2010-01-01T23:59:59.000Z

84

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

E-Print Network [OSTI]

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

Wunsch, Carl

85

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation Results for 1995

86

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation Results for 199570.4

87

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation Results for 199570.4

88

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation Results for

89

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation Results for53.6 53.3

90

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.5 58.9 54.4

91

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.5 58.9 54.470.5

92

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.5 58.9 54.470.583.0

93

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.5 58.9

94

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.5 58.955.1 41.7

95

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.5

96

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.7 67.5 69.9

97

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.7 67.5 69.975.6

98

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.7 67.5

99

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.7 67.544.6 48.9

100

Table 42. Residual Fuel Oil Prices by PAD District and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.757.3 61.445.0

Note: This page contains sample records for the topic "table state estimated" 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

Table 42. Residual Fuel Oil Prices by PAD District and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.757.3

102

Table 42. Residual Fuel Oil Prices by PAD District and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.757.36.4 46.6

103

Table 42. Residual Fuel Oil Prices by PAD District and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.757.36.4

104

Table 42. Residual Fuel Oil Prices by PAD District and State  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 Estimation59.561.757.36.433.7

105

Table 2. 2011 State energy-related carbon dioxide emisssions by fuel  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael Schaal Director, Oilthe Energy1,1812011 State energy-related

106

Table 3. 2011 State energy-related carbon dioxide emissions by sector  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael Schaal Director, Oilthe Energy1,18120112011 State

107

Table 1. State energy-related carbon dioxide emissions by year (2000-2011  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World9, 2014 Residential propane priceDakota - Seds -229,128CoalState

108

Table 17. Estimated natural gas plant liquids and dry natural gas content of total wet natural gas proved reserves, 2013  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S.Welcome to the1,033Estimated natural gas

109

Communication Capacity Requirement for Reliable and Secure State Estimation in Smart Grid  

E-Print Network [OSTI]

1 Communication Capacity Requirement for Reliable and Secure State Estimation in Smart Grid Husheng, Cookeville, TN Abstract-- Secure system state estimation is an important issue in smart grid to assure the information the- oretic perspective. The smart grid is modeled as a linear dynamic system. Then, the channel

Qiu, Robert Caiming

110

VEHICLE STATE ESTIMATION USING VISION AND INERTIAL MEASUREMENTS  

E-Print Network [OSTI]

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

Brennan, Sean

111

Table 2 -Lime use and practices on Corn, major producing states, 2001 CO GA IL IN IA KS KY MI MN MO NE NY NC ND OH PA SD TX WI Area  

E-Print Network [OSTI]

Table 2 - Lime use and practices on Corn, major producing states, 2001 CO GA IL IN IA KS KY MI MN.7 Table 2 - Lime use and practices on Corn, major producing states, 2000 CO IL IN IA KS KY MI MN MO NE NY use and practices on Corn, major producing states, 1999 CO IL IN IA KS KY MI MN MO NE NC OH SD TX WI

Kammen, Daniel M.

112

QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED  

E-Print Network [OSTI]

QUANTITATIVE ESTIMATES ON THE HYDROGEN GROUND STATE ENERGY IN NON-RELATIVISTIC QED J.-M. BARBAROUX for the hydrogen ground state energy in the Pauli-Fierz model up to the order O(5 log -1), where denotes). As a consequence, we prove that the ground state energy is not a real analytic function of , and verify

113

FY 2013 State Table  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S. Department- EnronAnnualBudgetLDRD Report9

114

FY 2005 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCityTheDepartmentKey9

115

FY 2007 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in5

116

FY 2010 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganizationtotal FY 2010 LDRD program cost

117

FY 2012 State Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganizationtotal FY 20106 Department of Energy

118

Efficient Hydraulic State Estimation Technique Using Reduced Models of Urban Water Networks  

E-Print Network [OSTI]

This paper describes and demonstrates an efficient method for online hydraulic state estimation in urban water networks. The proposed method employs an online predictor-corrector (PC) procedure for forecasting future water ...

Preis, Ami

119

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

E-Print Network [OSTI]

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

Mazloff, Matthew R

2008-01-01T23:59:59.000Z

120

Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence of additive noise  

E-Print Network [OSTI]

Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence 2010 Keywords: GARCH Parameter estimation Noisy data Maximum likelihood Recursive maximum likelihood a b s t r a c t ARCH and GARCH models have been used recently in model-based signal processing

Cohen, Israel

Note: This page contains sample records for the topic "table state estimated" 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

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

E-Print Network [OSTI]

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

Zhong, Shan

2005-02-17T23:59:59.000Z

122

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

E-Print Network [OSTI]

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

Yoon, Yeo Jun

2006-04-12T23:59:59.000Z

123

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

E-Print Network [OSTI]

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

Peng, Huei

124

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

SciTech Connect (OSTI)

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

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

2014-05-01T23:59:59.000Z

125

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

E-Print Network [OSTI]

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

Brennan, Sean

126

Improved estimates of the total correlation energy in the ground state of the water molecule  

E-Print Network [OSTI]

Improved estimates of the total correlation energy in the ground state of the water molecule Arne National Laboratory, Richland, Washington 99352 Received 1 October 1996; accepted 5 February 1997 Two new calculations of the electronic energy of the ground state of the water molecule yield energies lower than those

Anderson, James B.

127

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

E-Print Network [OSTI]

TR- 275 2004 Estimated Benefits of IBWC Rio Grande Flood-Control Projects in the United States Allen W. Sturdivant Ronald D. Lacewell Ari M. Michelsen M. Edward Rister Naomi Assadian Marian Eriksson Roger Freeman Jennifer H... Flood-Control Projects in the United States Prepared for: INTERNATIONAL BOUNDARY AND WATER COMMISSION, UNITED STATES SECTION EL PASO, TEXAS SEPTEMBER 2004 Prepared by: Texas Agriculture Experiment Station, and Texas Water Resources Institute of the Texas...

Sturdivant, Allen W.; Lacewell, Ronald D.; Michelsen, Ari M.; Rister, M. Edward; Assadian, Naomi; Eriksson, Marian; Freeman, Roger; Jacobs, Jennifer H.; Madison, W. Tom; McGuckin, James T.; Morrison, Wendy; Robinson, John R.C.; Staats, Chris; Sheng, Zhuping; Srinivasan, R.; Villalobos, Joshua I.

128

Asymptotic Efficiency and Finite Sample Performance of Frequentist Quantum State Estimation  

E-Print Network [OSTI]

We undertake a detailed study of the performance of maximum likelihood (ML) estimators of the density matrix of finite-dimensional quantum systems, in order to interrogate generic properties of frequentist quantum state estimation. Existing literature on frequentist quantum estimation has not rigorously examined the finite sample performance of the estimators and associated methods of hypothesis testing. While ML is usually preferred on the basis of its asymptotic properties - it achieves the Cramer-Rao (CR) lower bound - the finite sample properties are often less than optimal. We compare the asymptotic and finite-sample properties of the ML estimators and test statistics for two different choices of measurement bases: the average case optimal or mutually unbiased bases (MUB) and a representative set of suboptimal bases, for spin-1/2 and spin-1 systems. We show that, in both cases, the standard errors of the ML estimators sometimes do not contain the true value of the parameter, which can render inference based on the asymptotic properties of the ML unreliable for experimentally realistic sample sizes. The results indicate that in order to fully exploit the information geometry of quantum states and achieve smaller reconstruction errors, the use of Bayesian state reconstruction methods - which, unlike frequentist methods, do not rely on asymptotic properties - is desirable, since the estimation error is typically lower due to the incorporation of prior knowledge.

Raj Chakrabarti; Anisha Ghosh

2011-11-15T23:59:59.000Z

129

Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method,  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0b.Total:1

130

Table 12. Interstate movements and movements across U.S. borders of natural gas by state, 2013  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousand Cubicin North Dakota6,979 Administration1 Table6

131

Table 16. Natural gas delivered to consumers by sector, 2009-2013, and by state and sector, 2013  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousand Cubicin North Dakota6,979 Administration1 Table61

132

Table B1. Summary statistics for natural gas in the United States, metric equivalents, 2009-2013  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousand Cubicin North Dakota6,979. Light Usage6 Table 9.6

133

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

SciTech Connect (OSTI)

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

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

2006-11-03T23:59:59.000Z

134

Using graph theory to resolve state estimator issues faced by deregulated power systems  

E-Print Network [OSTI]

) Jiansheng Lei, B.S., Tsinghua University, Beijing, China; M.S., Tsinghua University, Beijing, China Chair of Advisory Committee: Dr. Garng M. Huang Power industry is undergoing a transition from the traditional regulated environment to the competitive... even under a contingency.............................................................................................1 B. Challenge 2: Run state estimator over a grid with extremely large size ...2 1.2 Topic 1: Network observability...

Lei, Jiansheng

2009-05-15T23:59:59.000Z

135

Cell Equalization In Battery Stacks Through State Of Charge Estimation Polling  

E-Print Network [OSTI]

stack storage capacity, shortening the battery lifetime and, eventually, permanently damaging the cellsCell Equalization In Battery Stacks Through State Of Charge Estimation Polling Carmelo Speltino but it reduces the computational load of multiple EKF for every cell in the stack. Keywords: Battery Equalization

Stefanopoulou, Anna

136

False Data Injection Attacks against State Estimation in Electric Power Grids  

E-Print Network [OSTI]

the measurements of meters at physically protected locations such as substations, such attacks can introduce13 False Data Injection Attacks against State Estimation in Electric Power Grids YAO LIU and PENG also defeat malicious measurements injected by attackers. In this article, we expose an unknown

Reiter, Michael

137

False Data Injection Attacks against State Estimation in Electric Power Grids  

E-Print Network [OSTI]

the measurements of meters at physically protected locations such as substations, such attacks can introduceFalse Data Injection Attacks against State Estimation in Electric Power Grids Yao Liu and Peng Ning also defeat malicious measurements injected by attackers. In this paper, we expose an unknown

Ning, Peng

138

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

E-Print Network [OSTI]

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

Ngai, Edith Cheuk-Han

139

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

E-Print Network [OSTI]

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

Bishop, Gary

140

Capturing Dynamics in the Power Grid: Formulation of Dynamic State Estimation through Data Assimilation  

SciTech Connect (OSTI)

With the increasing complexity resulting from uncertainties and stochastic variations introduced by intermittent renewable energy sources, responsive loads, mobile consumption of plug-in vehicles, and new market designs, more and more dynamic behaviors are observed in everyday power system operation. To operate a power system efficiently and reliably, it is critical to adopt a dynamic paradigm so that effective control actions can be taken in time. The dynamic paradigm needs to include three fundamental components: dynamic state estimation; look-ahead dynamic simulation; and dynamic contingency analysis (Figure 1). These three components answer three basic questions: where the system is; where the system is going; and how secure the system is against accidents. The dynamic state estimation provides a solid cornerstone to support the other 2 components and is the focus of this study.

Zhou, Ning; Huang, Zhenyu; Meng, Da; Elbert, Stephen T.; Wang, Shaobu; Diao, Ruisheng

2014-03-31T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" 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

Estimation of the Dynamic States of Synchronous Machines Using an Extended Particle Filter  

SciTech Connect (OSTI)

In this paper, an extended particle filter (PF) is proposed to estimate the dynamic states of a synchronous machine using phasor measurement unit (PMU) data. A PF propagates the mean and covariance of states via Monte Carlo simulation, is easy to implement, and can be directly applied to a non-linear system with non-Gaussian noise. The extended PF modifies a basic PF to improve robustness. Using Monte Carlo simulations with practical noise and model uncertainty considerations, the extended PF’s performance is evaluated and compared with the basic PF and an extended Kalman filter (EKF). The extended PF results showed high accuracy and robustness against measurement and model noise.

Zhou, Ning; Meng, Da; Lu, Shuai

2013-11-11T23:59:59.000Z

142

Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise  

E-Print Network [OSTI]

Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model-- In this paper, a proportional integral (PI) and a proportional multiple integral observer (PMI) are proposed and PMI observers developed for linear systems. The state estimation error is written as a perturbed

Paris-Sud XI, Université de

143

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

E-Print Network [OSTI]

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

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

2014-05-11T23:59:59.000Z

144

A Unified Open-Circuit-Voltage Model of Lithium-ion Batteries for State-of-Charge Estimation and State-of-Health Monitoring $  

E-Print Network [OSTI]

A Unified Open-Circuit-Voltage Model of Lithium-ion Batteries for State-of-Charge Estimation. Keywords: Electric vehicles, Lithium-ion batteries, Open-Circuit-Voltage, State-of-Charge, State is widely used for characterizing battery properties under different conditions. It contains important

Peng, Huei

145

Environmental Justice Tables  

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

H Environmental Justice Tables I-5 Corridor Reinforcement Project Draft EIS H-i March 2012 Environmental Justice Tables for BPA I-5 Corridor Reinforcement Project Table of Contents...

146

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks  

E-Print Network [OSTI]

We present a framework for simulating signal propagation in geometric networks (i.e. networks that can be mapped to geometric graphs in some space) and for developing algorithms that estimate (i.e. map) the state and functional topology of complex dynamic geometric net- works. Within the framework we define the key features typically present in such networks and of particular relevance to biological cellular neural networks: Dynamics, signaling, observation, and control. The framework is particularly well-suited for estimating functional connectivity in cellular neural networks from experimentally observable data, and has been implemented using graphics processing unit (GPU) high performance computing. Computationally, the framework can simulate cellular network signaling close to or faster than real time. We further propose a standard test set of networks to measure performance and compare different mapping algorithms.

Marius Buibas; Gabriel A. Silva

2010-06-22T23:59:59.000Z

147

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

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

table. 56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

148

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

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

table. 56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

149

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

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

table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

150

Quantum process tomography and Linblad estimation of a solid state qubit  

E-Print Network [OSTI]

We present an example of quantum process tomography (QPT) performed on a single solid state qubit. The qubit used is two energy levels of the triplet state in the Nitrogen-Vacancy defect in Diamond. Quantum process tomography is applied to a qubit which has been allowed to decohere for three different time periods. In each case the process is found in terms of the chi matrix representation and the affine map representation. The discrepancy between experimentally estimated process and the closest physically valid process is noted. The results of QPT performed after three different decoherence times are used to find the error generators, or Lindblad operators, for the system, using the technique introduced by Boulant et al. [N. Boulant, T.F. Havel, M.A. Pravia and D.G. Cory, Phys. Rev. A 67, 042322 (2003)].

M. Howard; J. Twamley; C. Wittmann; T. Gaebel; F. Jelezko; J. Wrachtrup

2006-01-25T23:59:59.000Z

151

Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States (Presentation)  

SciTech Connect (OSTI)

Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.

Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.

2012-09-01T23:59:59.000Z

152

A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter  

E-Print Network [OSTI]

A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive a SOC estimator for suitable for multiple lithium ion battery chemistries. Proved the system robustness of charge (SoC) of multiple types of lithium ion battery (LiB) cells with adaptive extended Kalman filter

Mi, Chunting "Chris"

153

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

SciTech Connect (OSTI)

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

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

2011-02-24T23:59:59.000Z

154

Design-Basis Flood Estimation for Site Characterization at Nuclear Power Plants in the United States of America  

SciTech Connect (OSTI)

The purpose of this document is to describe approaches and methods for estimation of the design-basis flood at nuclear power plant sites. Chapter 1 defines the design-basis flood and lists the U.S. Nuclear Regulatory Commission's (NRC) regulations that require estimation of the design-basis flood. For comparison, the design-basis flood estimation methods used by other Federal agencies are also described. A brief discussion of the recommendations of the International Atomic Energy Agency for estimation of the design-basis floods in its member States is also included.

Prasad, Rajiv; Hibler, Lyle F.; Coleman, Andre M.; Ward, Duane L.

2011-11-01T23:59:59.000Z

155

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

E-Print Network [OSTI]

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

Stefanopoulou, Anna

156

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

SciTech Connect (OSTI)

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

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

2014-04-01T23:59:59.000Z

157

Recent Experience with a Hybrid SCADA/PMU On-Line State Estimator  

SciTech Connect (OSTI)

PMU devices are expected to grow in number from a few to several hundreds in the next five years. Some relays are already global positioning system-capable and could provide the same type of data as any PMU. This introduces a new paradigm of very fast accurate synchrophasor measurements from across the grid in real-time that augment and parallel existing slower SCADA measurements. Control center applications will benefit from this PMU data; for example, use of PMU data in state estimation is expected to improve accuracy and robustness, which in turn will result in more timely and accurate N-1 security analysis, resulting in an overall improvement of grid system reliability and security. This paper describes results from a recent implementation of this technology, the benefits and future work.

Rizy, D Tom [ORNL

2009-01-01T23:59:59.000Z

158

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

E-Print Network [OSTI]

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

Sun, Jian

159

Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...  

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

Marketing Annual 1998 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

160

Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...  

Gasoline and Diesel Fuel Update (EIA)

Marketing Annual 1999 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

Note: This page contains sample records for the topic "table state estimated" 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

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

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

250 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

162

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

163

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

Gasoline and Diesel Fuel Update (EIA)

- - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy...

164

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

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

220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

165

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

166

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

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

Petroleum Marketing Annual 1995 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

167

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Information Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

168

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

169

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

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

Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

170

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

171

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

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

Petroleum Marketing Annual 1998 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

172

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

- - - - W W - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

173

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

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

Information Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

174

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

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

Petroleum Marketing Annual 1999 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

175

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

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

- - - - 64.7 64.7 - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

176

Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...  

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

- - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

177

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

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

Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

178

Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

179

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

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

250 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

180

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1999 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

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


181

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

182

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

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

134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

183

Petroleum Products Table 31. Motor Gasoline Prices by Grade...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 56 Energy Information Administration Petroleum Marketing Annual 1996 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

184

Petroleum Products Table 43. Refiner Motor Gasoline Volumes...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1996 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

185

Petroleum Products Table 43. Refiner Motor Gasoline Volumes...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1997 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

186

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

Gasoline and Diesel Fuel Update (EIA)

See footnotes at end of table. 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State 386 Energy Information...

187

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

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

Marketing Annual 1999 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

188

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

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

Marketing Annual 1998 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

189

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

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

Marketing Annual 1995 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

190

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

E-Print Network [OSTI]

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

Tong, Lang

191

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

E-Print Network [OSTI]

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

192

Abstract--This paper investigates the errors introduced in the positive sequence state estimation due to the usual assumptions of  

E-Print Network [OSTI]

transposed transmission lines. A three-phase state estimator is first developed in order to verify the actual to be met: · Transposition of the transmission lines · Even distribution of bus loads · Maintaining balanced an uneven distribution among the three phases, or relatively long but non-transposed transmission lines

193

Experimental Validation of a Lithium-Ion Battery State of Charge Estimation with an Extended Kalman Filter  

E-Print Network [OSTI]

], is identified and validated through experimental data by a 10 Ah li-ion battery pack, during charge 37 V at 10 Ah Li-ion battery.. Keywords: Battery model, parameter identification, Kalman filter, SOCExperimental Validation of a Lithium-Ion Battery State of Charge Estimation with an Extended Kalman

Stefanopoulou, Anna

194

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

E-Print Network [OSTI]

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

Nehorai, Arye

195

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

E-Print Network [OSTI]

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

Barbose, Galen

2014-01-01T23:59:59.000Z

196

Table HIST002R_2. Death rates for 113 selected causes by 5-year age groups, race and sex: United States, 1979-98  

E-Print Network [OSTI]

,241.7 1988 957.9 441.1 719.7 1,193.5 1,903.9 2,887.8 4,516.8 6,827.0 10,651.9 19,020.8 1987 952.7 447.2 745 in this table: * Figure does not meet standards of reliability or precision - Quantity zero 0.0 Quantity greater

Hunter, David

197

Discrete State Estimators for Systems on a Lattice D. Del Vecchio  

E-Print Network [OSTI]

to be final state determinable are given [4]. In Alessandri et al., Luenberger-like observers are proposed

Murray, Richard M.

198

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

SciTech Connect (OSTI)

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

Not Available

2009-09-01T23:59:59.000Z

199

ESTIMATING THE ECONOMIC IMPACT OF UNIVERSITIES: THE CASE OF BOWLING GREEN STATE UNIVERSITY  

E-Print Network [OSTI]

study of Bowling Green State University, Ohio. The most widely cited finding of the study was that for

Michael C. Carroll; Bruce W. Smith

200

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

E-Print Network [OSTI]

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

Tzanetos, Theodore

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" 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

Abstract--This paper addresses a problem in state estimators for power systems. The issue of non-collocated measurements is  

E-Print Network [OSTI]

.e., the `states') are estimated. The process usually uses minimum least squares methods. Power system measurements to information loss through analog to digital conver- sion. State estimation methods can flag and smooth out bad into a digital signal by an analog / digital converter

202

TABLE VENDOR General Information  

E-Print Network [OSTI]

TABLE VENDOR General Information The following are the terms and conditions for renting table Affairs. York University assumes no responsibility or liability for vendors and their agent including racks provided by the vendor are charged at the rate of $25.00 per day per additional display. All

203

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

E-Print Network [OSTI]

kW demand and costs per annual kWh sales. Cost estimates arePer Un-served kWh Cost Per Annual kWh Small C&I Cost PerPer Un-served kWh Cost Per Annual kWh Residential Cost Per

Sullivan, M.J.

2009-01-01T23:59:59.000Z

204

A Method for Estimating Undiscovered Geothermal Resources in...  

Open Energy Info (EERE)

was estimated using digital maps of geothermal wells, temperature gradient holes, oil wells, water wells, and depth to the water table. The resulting resource estimate does...

205

Supplemental Figures and Tables for Groundfish EFH Review Phase 1 Report "Federal and State Marine Protected Areas Type of Fishing Restriction"  

E-Print Network [OSTI]

"Federal and State Marine Protected Areas ­ Type of Fishing Restriction" Author and state MPAs depicted in map figures, categorized by level of fishing restriction Fishing Restriction BEFORE AFTER Commercial and Recreational Fishing Prohibited

Goldfinger, Chris

206

Geothermal -- The Energy Under Our Feet: Geothermal Resource Estimates for the United States  

SciTech Connect (OSTI)

On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource or application: (1) Hydrothermal, (2) Deep Geothermal Systems, (3) Direct Use, (4) Geothermal Heat Pumps (GHPs), and (5) Co-Produced and Geopressured. The workshop found that the domestic geothermal resource is very large, with significant benefits.

Green, B. D.; Nix, R. G.

2006-11-01T23:59:59.000Z

207

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

E-Print Network [OSTI]

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

Dai, Yang

208

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

E-Print Network [OSTI]

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

209

Quantitative estimates on the Hydrogen ground state energy in non-relativistic QED  

E-Print Network [OSTI]

In this paper, we determine the exact expression for the hydrogen binding energy in the Pauli-Fierz model up to the order $O(\\alpha^5\\log\\alpha^{-1})$, where $\\alpha$ denotes the finestructure constant, and prove rigorous bounds on the remainder term of the order $o(\\alpha^5\\log\\alpha^{-1})$. As a consequence, we prove that the binding energy is not a real analytic function of $\\alpha$, and verify the existence of logarithmic corrections to the expansion of the ground state energy in powers of $\\alpha$, as conjectured in the recent literature.

Jean-Marie Barbaroux; Thomas Chen; Semjon Vugalter; Vitali Vougalter

2010-06-04T23:59:59.000Z

210

Inferring Latent States and Refining Force Estimates via Hierarchical Dirichlet Process Modeling in Single Particle Tracking Experiments  

E-Print Network [OSTI]

Optical microscopy provides rich spatio-temporal information characterizing in vivo molecular motion. However, effective forces and other parameters used to summarize molecular motion change over time in live cells due to latent state changes, e.g., changes induced by dynamic micro-environments, photobleaching, and other heterogeneity inherent in biological processes. This study focuses on techniques for analyzing Single Particle Tracking (SPT) data experiencing abrupt state changes. We demonstrate the approach on GFP tagged chromatids experiencing metaphase in yeast cells and probe the effective forces resulting from dynamic interactions that reflect the sum of a number of physical phenomena. State changes are induced by factors such as microtubule dynamics exerting force through the centromere, thermal polymer fluctuations, etc. Simulations are used to demonstrate the relevance of the approach in more general SPT data analyses. Refined force estimates are obtained by adopting and modifying a nonparametric Bayesian modeling technique, the Hierarchical Dirichlet Process Switching Linear Dynamical System (HDP-SLDS), for SPT applications. The HDP-SLDS method shows promise in systematically identifying dynamical regime changes induced by unobserved state changes when the number of underlying states is unknown in advance (a common problem in SPT applications). We expand on the relevance of the HDP-SLDS approach, review the relevant background of Hierarchical Dirichlet Processes, show how to map discrete time HDP-SLDS models to classic SPT models, and discuss limitations of the approach. In addition, we demonstrate new computational techniques for tuning hyperparameters and for checking the statistical consistency of model assumptions directly against individual experimental trajectories; the techniques circumvent the need for "ground-truth" and subjective information.

Christopher P. Calderon; Kerry S. Bloom

2015-01-01T23:59:59.000Z

211

State coal profiles, January 1994  

SciTech Connect (OSTI)

The purpose of State Coal Profiles is to provide basic information about the deposits, production, and use of coal in each of the 27 States with coal production in 1992. Although considerable information on coal has been published on a national level, there is a lack of a uniform overview for the individual States. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. While focusing on coal output, State Coal Profiles shows that the coal-producing States are major users of coal, together accounting for about three-fourths of total US coal consumption in 1992. Each coal-producing State is profiled with a description of its coal deposits and a discussion of the development of its coal industry. Estimates of coal reserves in 1992 are categorized by mining method and sulfur content. Trends, patterns, and other information concerning production, number of mines, miners, productivity, mine price of coal, disposition, and consumption of coal are detailed in statistical tables for selected years from 1980 through 1992. In addition, coal`s contribution to the State`s estimated total energy consumption is given for 1991, the latest year for which data are available. A US summary of all data is provided for comparing individual States with the Nation as a whole. Sources of information are given at the end of the tables.

Not Available

1994-02-02T23:59:59.000Z

212

Estimating effects of energy planning on environmental impacts in the Western United States  

SciTech Connect (OSTI)

As part of their long-term planning process, utilities and government agencies are choosing power generation and conservation strategies that will effect environmental interactions for decades to come. In the US, power marketing administrations within the US Department of Energy have a strong influence over the strategies to be implemented in large multi-state regions. Pacific Northwest Laboratories (PNL) prepared environmental impact statements (EIS) for two power marketing agencies, the Western Area Power Administration (Western) and Bonneville Power Administration (Bonneville). The Western EIS assessed the effects of integrated resource planing (IRP) on the public utilities Western serves, while the Bonneville EIS assessed the effects of acquiring new energy resources in the pacific Northwest. The results were found using models that simulated utility systems. In both cases, environmental impacts were reduced when the conservation strategy in question was considered. This paper describes the results of the environmental analyses for the two agencies and compares the results with those of another simplified approach that relies on attributing emissions of new resources based on an extrapolation of existing capacity.

Baechler, M.C.; Cothran, J.N.

1994-12-01T23:59:59.000Z

213

Estimated winter 1980-1981 electric demand and supply, contiguous United States. Staff report  

SciTech Connect (OSTI)

This report summarizes the most recent data available concerning projected electrical peak demands and available power resouces for the 1980-1981 winter peak period, as reported by electric utilities in the contiguous United States. The data, grouped by Regional Reliability Council areas and by Electrical Regions within the Council areas, was obtained from the Form 12E-2 reports filed by utilities with the Department of Energy on October 15, 1980 (data as of September 30). In some instances the data were revised or verified by telephone. Considerations affecting reliability, arising from Nuclear Regulatory Commission actions based on lessons learned from the forced outage of Three Mile Island Nuclear Unit No. 2, were factored into the report. No widespread large-scale reliability problems are foreseen for electric power supply this winter, on the basis of the supply and demand projections furnished by the electric utilities. Reserve margins could drop in some electric regions to levels considered inadequate for reliable service, if historical forced-outage magnitudes recur.

None

1980-12-01T23:59:59.000Z

214

State energy price and expenditure report 1989  

SciTech Connect (OSTI)

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

Not Available

1991-09-30T23:59:59.000Z

215

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

216

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

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

- - 466.1 466.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

217

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

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

253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

218

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

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

- - 532.1 532.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

219

Application of a Rule-Based Model to Estimate Mercury Exchange for Three Background Biomes in the Continental United States  

SciTech Connect (OSTI)

Ecosystems that have low mercury (Hg) concentrations (i.e., not enriched or impacted by geologic or anthropogenic processes) cover most of the terrestrial surface area of the earth yet their role as a net source or sink for atmospheric Hg is uncertain. Here we use empirical data to develop a rule-based model implemented within a geographic information system framework to estimate the spatial and temporal patterns of Hg flux for semiarid deserts, grasslands, and deciduous forests representing 45% of the continental United States. This exercise provides an indication of whether these ecosystems are a net source or sink for atmospheric Hg as well as a basis for recommendation of data to collect in future field sampling campaigns. Results indicated that soil alone was a small net source of atmospheric Hg and that emitted Hg could be accounted for based on Hg input by wet deposition. When foliar assimilation and wet deposition are added to the area estimate of soil Hg flux these biomes are a sink for atmospheric Hg.

Hartman, Jelena S. [University of Nevada, Reno; Weisberg, Peter J [University of Nevada, Reno; Pillai, Rekha [University of Nevada, Reno; Ericksen, Joey A. [University of Nevada, Reno; Gustin, Mae S. [University of Nevada, Reno; Kuiken, Todd [Tennessee Technological University; Zhang, Hong [Tennessee Technological University; Lindberg, Steven Eric [ORNL; Rytuba, J. J. [U.S. Geological Survey, Menlo Park, CA

2009-07-01T23:59:59.000Z

220

Advanced Vehicle Technologies Awards Table  

Broader source: Energy.gov [DOE]

The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project.

Note: This page contains sample records for the topic "table state estimated" 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

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

SciTech Connect (OSTI)

ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie

2008-06-03T23:59:59.000Z

222

Origin State Destination State  

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

7. Estimated truck transportation rates for coal, state to state, EIA data Origin State Destination State 2008 2009 2010 2008-2010 2009-2010 Alabama Alabama W W W W W Alabama...

223

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Annual 1998 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

224

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Annual 1995 337 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

225

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

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

Petroleum Marketing Annual 1999 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

226

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...  

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

AdministrationPetroleum Marketing Annual 1999 401 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

227

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...  

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

Information Administration Petroleum Marketing Annual 1995 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

228

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

Energy Information AdministrationPetroleum Marketing Annual 1998 191 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States (Cents per Gallon...

229

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

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

Energy Information AdministrationPetroleum Marketing Annual 1999 191 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States (Cents per Gallon...

230

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

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

Information Administration Petroleum Marketing Annual 1995 233 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States (Cents per Gallon...

231

The Human Carbon Budget: An Estimate of the Spatial Distribution of Metabolic Carbon Consumption and Release in the United States  

SciTech Connect (OSTI)

Carbon dioxide is taken up by agricultural crops and released soon after during the consumption of agricultural commodities. The global net impact of this process on carbon flux to the atmosphere is negligible, but impact on the spatial distribution of carbon dioxide uptake and release across regions and continents is significant. To estimate the consumption and release of carbon by humans over the landscape, we developed a carbon budget for humans in the United States. The budget was derived from food commodity intake data for the US and from algorithms representing the metabolic processing of carbon by humans. Data on consumption, respiration, and waste of carbon by humans were distributed over the US using geospatial population data with a resolution of approximately 450 x 450 m. The average adult in the US contains about 21 kg C and consumes about 67 kg C yr-1 which is balanced by the annual release of about 59 kg C as expired CO2, 7 kg C as feces and urine, and less than 1 kg C as flatus, sweat, and aromatic compounds. In 2000, an estimated 17.2 Tg C were consumed by the US population and 15.2 Tg C were expired to the atmosphere as CO2. Historically, carbon stock in the US human population has increased between 1790-2006 from 0.06 Tg to 5.37 Tg. Displacement and release of total harvested carbon per capita in the US is nearly 12% of per capita fossil fuel emissions. Humans are using, storing, and transporting carbon about the Earth s surface. Inclusion of these carbon dynamics in regional carbon budgets can improve our understanding of carbon sources and sinks.

West, Tristram O. [ORNL; Singh, Nagendra [ORNL; Marland, Gregg [ORNL; Bhaduri, Budhendra L [ORNL

2009-01-01T23:59:59.000Z

232

State Energy Production Estimates  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. RegionalAndyFutureSouth2:3:6

233

Table for Reports - ESG  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. Home Office11

234

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. Home Office11SECTION

235

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. Home

236

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION III:

237

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION III:IV:

238

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION III:IV:V:

239

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTION

240

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII: HEAVY

Note: This page contains sample records for the topic "table state estimated" 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

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:

242

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:IV:

243

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:IV:V:

244

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a. HomeSECTIONII:IV:V:I:

245

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.

246

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic Flow at

247

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic Flow

248

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic

249

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm Elliptic1

250

compare_tables.xlsx  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:short version)ec 1827 Table 7.2c43Current

251

ARM - Instrument Location Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosionAnnouncements MediagovCampaignsListgovInstrumentsLocation Table

252

Microsoft Word - table_09  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 9

253

Microsoft Word - table_10  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 94

254

Microsoft Word - table_11  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 9425

255

8Be General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables The General

256

8C General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables The GeneralCC

257

8He General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables The

258

8Li General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables Theβ--DecayLi

259

9B General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BB General

260

9Be General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBe General

Note: This page contains sample records for the topic "table state estimated" 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

9C General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBe

262

9He General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBeHeHe

263

9Li General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBe General Tables8 2BBBeHeHeLiLi

264

A = 6 General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables The

265

A = 7 General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables The7

266

A = 8 General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables

267

A = 9 General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6 General Tables9

268

FY 2005 Statistical Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCityTheDepartmentKey9Statistical Table by

269

FY 2007 Statistical Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollars in5Statistical Table by

270

FY 2008 Laboratory Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControl Table08Total

271

A=19 Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See Energy0AJ04)86AJ04)1978AJ03) (See95TI07) (See EnergyTables

272

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManus Site-Inactive TWPCarbon intensity of theTABLE OF

273

Table of Contents  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManus Site-Inactive TWPCarbon intensity of theTABLE OF2

274

Tables of Energy Levels  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManus Site-Inactive TWPCarbon intensity of theTABLE

275

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

E-Print Network [OSTI]

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

Stefanopoulou, Anna

276

Estimating monthly and state-level NO sub x , SO sub 2 , VOC and CO sub 2 emissions using the MSCET database  

SciTech Connect (OSTI)

This paper describes the Month and State Current Emission Trends (MSCET) database. It describes the methodology used to estimate NO{sub x}, SO{sub 2}, VOC, and CO{sub 2} emissions and the data sources used by the methodology. Selected emissions results from the database are presented. 2 refs., 6 figs.

Cilek, C.M.; Kohout, E.

1992-01-01T23:59:59.000Z

277

Estimating monthly and state-level NO{sub x}, SO{sub 2}, VOC and CO{sub 2} emissions using the MSCET database  

SciTech Connect (OSTI)

This paper describes the Month and State Current Emission Trends (MSCET) database. It describes the methodology used to estimate NO{sub x}, SO{sub 2}, VOC, and CO{sub 2} emissions and the data sources used by the methodology. Selected emissions results from the database are presented. 2 refs., 6 figs.

Cilek, C.M.; Kohout, E.

1992-07-01T23:59:59.000Z

278

State Historical Tables for 2001 - 2003  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. RegionalAndyFutureSouth2:3:63 Released:

279

State Historical Tables for 2001 - 2004  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. RegionalAndyFutureSouth2:3:63

280

Table 2. Coal Production by State  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationReleaseMetallurgical Coal ExportsPrice of

Note: This page contains sample records for the topic "table state estimated" 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

Comparing cropland net primary production estimates from inventory, a satellite-based model, and a process-based model in the Midwest of the United States  

SciTech Connect (OSTI)

Accurately quantifying the spatial and temporal variability of net primary production (NPP) for croplands is essential to understand regional cropland carbon dynamics. We compared three NPP estimates for croplands in the Midwestern United States: inventory-based estimates using crop yield data from the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service (NASS); estimates from the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) NPP product; and estimates from the General Ensemble biogeochemical Modeling System (GEMS) process-based model. The three methods estimated mean NPP in the range of 469–687 g C m?2 yr?1 and total NPP in the range of 318–490 Tg C yr?1 for croplands in the Midwest in 2007 and 2008. The NPP estimates from crop yield data and the GEMS model showed the mean NPP for croplands was over 650 g C m?2 yr?1 while the MODIS NPP product estimated the mean NPP was less than 500 g C m?2 yr?1. MODIS NPP also showed very different spatial variability of the cropland NPP from the other two methods. We found these differences were mainly caused by the difference in the land cover data and the crop specific information used in the methods. Our study demonstrated that the detailed mapping of the temporal and spatial change of crop species is critical for estimating the spatial and temporal variability of cropland NPP. We suggest that high resolution land cover data with species–specific crop information should be used in satellite-based and process-based models to improve carbon estimates for croplands.

Li, Zhengpeng; Liu, Shuguang; Tan, Zhengxi; Bliss, N.; Young, Claudia J.; West, Tristram O.; Ogle, Stephen

2014-05-06T23:59:59.000Z

282

2003 CBECS Detailed Tables: Summary  

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

Energy Expenditures by Major Fuel c2-pdf c2.xls c2.html Table C3. Consumption and Gross Energy Intensity for Sum of Major Fuels c3.pdf c3.xls c3.html Table C4. Expenditures for...

283

Supplemental Tables to the Annual Energy Outlook - Energy Information...  

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

Module Regions (NERC Region Map) Table 73. Texas Regional Entity Table 74. Florida Reliability Coordinating Council Table 75. Midwest Reliability Council East Table 76. Midwest...

284

Analytical Estimation of CO2 Storage Capacity in Depleted Oil and Gas Reservoirs Based on Thermodynamic State Functions  

E-Print Network [OSTI]

Numerical simulation has been used, as common practice, to estimate the CO2 storage capacity of depleted reservoirs. However, this method is time consuming, expensive and requires detailed input data. This investigation proposes an analytical method...

Valbuena Olivares, Ernesto

2012-02-14T23:59:59.000Z

285

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

SciTech Connect (OSTI)

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

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

2012-05-01T23:59:59.000Z

286

SimHydro 2012: Hydraulic modeling and uncertainty, 12-14 September 2012, Sophia Antipolis N. Jean-Baptiste, C. Dore, P-O. Malaterre, J. Sau -Data assimilation for hydraulic state estimation of a development project  

E-Print Network [OSTI]

SimHydro 2012: Hydraulic modeling and uncertainty, 12-14 September 2012, Sophia Antipolis ­ N. Jean-Baptiste, C. Dorée, P-O. Malaterre, J. Sau - Data assimilation for hydraulic state estimation of a development project Data assimilation for hydraulic state estimation of a development project Assimilation de données

Paris-Sud XI, Université de

287

Overpressure prediction by mean total stress estimate using well logs for compressional environments with strike-slip or reverse faulting stress state  

E-Print Network [OSTI]

of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 2006 Major Subject: Petroleum Engineering OVERPRESSURE PREDICTION BY MEAN TOTAL STRESS ESTIMATE USING WELL LOGS... FOR COMPRESSIONAL ENVIRONMENTS WITH STRIKE-SLIP OR REVERSE FAULTING STRESS STATE A Thesis by ASLIHAN OZKALE Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER...

Ozkale, Aslihan

2007-04-25T23:59:59.000Z

288

Made ill Ullited States of :\\meTica Hcprintcd from TilE \\\\'!Loun: SOCIlITY BULu.'ls  

E-Print Network [OSTI]

. ANDERSON, Utah Cooperative Wildlife Rellearch Unit, Utah State Univer.ity, Logan, UT 84322 Abstract, Laurel, Mary- land, as shot or found dead during the hunting season were included in our analysis. Many) and Anderson (1975). Only birds 80-W #12;SURVIVAL ESTIMATES FOR CANADA GEESE' Ratti et al. 147 Table 1. Bandiu

289

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

SciTech Connect (OSTI)

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

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

2014-04-15T23:59:59.000Z

290

TABLE OF CONTENTS ABSTRACT . . .. . . .. . . . . . . . . . . . . . . . . . . . . . v  

E-Print Network [OSTI]

............................................... 12 Water-Source Heat Pump Performance ............................ 18 Air-Source Heat Pump QUARTZ CONTENT OF SEDIMENTARY ROCK LAYERS ........ 17 TABLE 10. PROPERTIES OF SEDIMENTARY ROCK LAYERS OF PERFORMANCE OF WATER-SOURCE HEAT PUMP .............................. ................. 23 FIGURE 2. NODAL

Oak Ridge National Laboratory

291

FIRE SAFETY PROGRAM TABLE OF CONTENTS  

E-Print Network [OSTI]

FIRE SAFETY PROGRAM TABLE OF CONTENTS Overview................................................................................................. 5 Health and Life Safety Fund........................................................................................................... 5 Hot work

Lin, Zhiqun

292

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

E-Print Network [OSTI]

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

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

293

FY 2009 Statistical Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState6State

294

FY 2010 Laboratory Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState6State

295

Radioactive decay data tables  

SciTech Connect (OSTI)

The estimation of radiation dose to man from either external or internal exposure to radionuclides requires a knowledge of the energies and intensities of the atomic and nuclear radiations emitted during the radioactive decay process. The availability of evaluated decay data for the large number of radionuclides of interest is thus of fundamental importance for radiation dosimetry. This handbook contains a compilation of decay data for approximately 500 radionuclides. These data constitute an evaluated data file constructed for use in the radiological assessment activities of the Technology Assessments Section of the Health and Safety Research Division at Oak Ridge National Laboratory. The radionuclides selected for this handbook include those occurring naturally in the environment, those of potential importance in routine or accidental releases from the nuclear fuel cycle, those of current interest in nuclear medicine and fusion reactor technology, and some of those of interest to Committee 2 of the International Commission on Radiological Protection for the estimation of annual limits on intake via inhalation and ingestion for occupationally exposed individuals.

Kocher, D.C.

1981-01-01T23:59:59.000Z

296

Cash Flow and Discount Rate news estimation: which method to choose?  

E-Print Network [OSTI]

form the VAR method . Implied Cost of Capital estimates byt+1 . TABLE 3: Cost of Capital Estimates by Year Year Numberdifferent estimates of the implied cost of capital. See

Khimich, Natalya V.

2012-01-01T23:59:59.000Z

297

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

61.5 70.8 92.7 90.7 81.5 72.8 - 78.0 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

298

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

62.6 71.7 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

299

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

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

71.8 W 70.5 78.9 W 76.0 83.6 W 69.2 75.2 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

300

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

W 68.4 70.8 W W 78.6 W 85.7 81.8 W 69.3 73.8 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

Note: This page contains sample records for the topic "table state estimated" 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

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

SciTech Connect (OSTI)

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

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

2009-03-06T23:59:59.000Z

302

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

SciTech Connect (OSTI)

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

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

2008-10-01T23:59:59.000Z

303

Qualified Energy Conservation Bond State-by-State Summary Tables |  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L dDepartment of EnergyQualified Energy Conservation Bond

304

A maximum entropy-least squares estimator for elastic origin-destination trip matrix estimation  

E-Print Network [OSTI]

A maximum entropy-least squares estimator for elastic origin- destination trip matrix estimation propose a combined maximum entropy-least squares (ME-LS) estimator, by which O- D flows are distributed-destination trip table; elastic demand; maximum entropy; least squares; subnetwork analysis; convex combination

Kockelman, Kara M.

305

FY 2008 Statistical Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState

306

10Li General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-on halloweenReliable solar:2 OFsupportsLi Ground-State DecayLi

307

10N General Tables  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-on halloweenReliable solar:2 OFsupportsLi Ground-State

308

Table of Contents  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy StrainClient updateTRI-STATE GENERATION AND|Energy

309

Table_of_Contents  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage »of Energy StrainClient updateTRI-STATE GENERATION 1. Physical Security

310

Microsoft Word - table_19.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7 Table

311

Cost Estimating Guide, Table of Contents - DOE Directives, Delegations...  

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

1997 CRD: No DNFSB: No Related History Exemptions Standards Related to: DOE G 430.1-1 Chp 9, Operating Costs DOE G 430.1-1 Chp 19, Data Collection and Normalization for the...

312

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

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

132.9 1,418.3 See footnotes at end of table. 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State Energy Information Administration ...

313

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

Gasoline and Diesel Fuel Update (EIA)

839.2 135.0 1,251.9 See footnotes at end of table. 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State Energy Information Administration ...

314

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

70.4 69.1 87.1 75.2 71.6 61.0 See footnotes at end of table. 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States Energy Information...

315

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

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

74.6 77.3 90.7 86.5 77.3 68.4 See footnotes at end of table. 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States Energy Information...

316

Shear wave seismic velocity profiling and depth to water table earthquake site  

E-Print Network [OSTI]

..................................................................................................... 6 Summary of seismic refraction/reflection methodsShear wave seismic velocity profiling and depth to water table ­ earthquake site response measurements for Valley County, Idaho Lee M. Liberty and Gabriel M. Gribler, Boise State University Center

Barrash, Warren

317

Estimating Demand Response Market Potential Among Large Commercial and Industrial Customers: A Scoping Study  

E-Print Network [OSTI]

of Program Participation Rates on Demand Response MarketTable 3-1. Methods of Estimating Demand Response PenetrationDemand Response

Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

2007-01-01T23:59:59.000Z

318

SOFA 2 Documentation Table of contents  

E-Print Network [OSTI]

SOFA 2 Documentation Table of contents 1 Overview...................................................................................................................... 2 2 Documentation............................................................................................................. 2 3 Other documentation and howtos

319

Estimating Methods  

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

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

1997-03-28T23:59:59.000Z

320

Chemistry Department Assessment Table of Contents  

E-Print Network [OSTI]

0 Chemistry Department Assessment May, 2006 Table of Contents Page Executive Summary 1 Prelude 1 Mission Statement and Learning Goals 1 Facilities 2 Staffing 3 Students: Chemistry Majors and Student Taking Service Courses Table: 1997-2005 graduates profile Table: GRE Score for Chemistry Majors, 1993

Bogaerts, Steven

Note: This page contains sample records for the topic "table state estimated" 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

Laboratory life-fertility table assessment and field biology of millet head miner (Lepidoptera: Noctuidae) in Niger  

E-Print Network [OSTI]

Life tables were used to study millet head miner, Heliocheilus albipunctella de Joannis, under controlled conditions in a laboratory. Population reproductive statistics were estimated and survivorship curves described. Survival, oviposition period...

Abdou Kadi Kadi, Hame

1999-01-01T23:59:59.000Z

322

An optimal Wegner estimate and its application to the global continuity of the integrated density of states for random Schrödinger operators  

E-Print Network [OSTI]

We prove that the integrated density of states (IDS) of random Schr\\"{o}dinger operators with Anderson-type potentials on $L^2 (\\R^d)$, for $d \\geq1$, is locally H\\"{o}lder continuous at all energies with the same H\\"{o}lder exponent $0energies. The single-site potential $u\\in L\\_0^\\infty (\\R^d)$ must be nonnegative and compactly-supported. The unperturbed Hamiltonian must be periodic and satisfy a unique continuation principle. We also prove analogous continuity results for the IDS of random Anderson-type perturbations of the Landau Hamiltonian in two-dimensions. All of these results follow from a new Wegner estimate for local random Hamiltonians with rather general probability measures.

Jean-Michel Combes; Peter Hislop; Frédéric Klopp

2006-10-14T23:59:59.000Z

323

Microsoft Word - table_18.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table

324

SALTSTONE DISPOSAL FACILITY: DETERMINATION OF THE PROBABLE MAXIMUM WATER TABLE ELEVATION  

SciTech Connect (OSTI)

A coverage depicting the configuration of the probable maximum water table elevation in the vicinity of the Saltstone Disposal Facility (SDF) was developed to support the Saltstone program. This coverage is needed to support the construction of saltstone vaults to assure that they remain above the maximum elevation of the water table during the Performance Assessment (PA) period of compliance. A previous investigation to calculate the historical high water table beneath the SDF (Cook, 1983) was built upon to incorporate new data that has since become available to refine that estimate and develop a coverage that could be extended to the perennial streams adjacent to the SDF. This investigation incorporated the method used in the Cook, 1983 report to develop an estimate of the probable maximum water table for a group of wells that either existed at one time at or near the SDF or which currently exist. Estimates of the probable maximum water table at these wells were used to construct 2D contour lines depicting this surface beneath the SDF and extend them to the nearby hydrologic boundaries at the perennial streams adjacent to the SDF. Although certain measures were implemented to assure that the contour lines depict a surface above which the water table will not rise, the exact elevation of this surface cannot be known with complete certainty. It is therefore recommended that the construction of saltstone vaults incorporate a vertical buffer of at least 5-feet between the base of the vaults and the depicted probable maximum water table elevation. This should provide assurance that the water table under the wet extreme climatic condition will never rise to intercept the base of a vault.

Hiergesell, R

2005-04-01T23:59:59.000Z

325

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#: TWP-DOC-1.4TX

326

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#: TWP-DOC-1.4TX4

327

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#: TWP-DOC-1.4TX48

328

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:

329

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from

330

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.4 from

331

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.4 from6

332

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.4

333

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5 from5.47AJ02):

334

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:5

335

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:50AJ01): Some

336

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:50AJ01):

337

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104 DOC#:50AJ01):3TI07):

338

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.0100104

339

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.01001045TI07):

340

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TECHNOLOGIESTWP93.01001045TI07):8TI06):

Note: This page contains sample records for the topic "table state estimated" 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

Table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR

342

Microsoft Word - table_13.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13,, 19999, 19996,3 Table 9425

343

Microsoft Word - table_13.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.

344

Microsoft Word - table_14.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.4

345

Microsoft Word - table_15.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.40

346

Microsoft Word - table_17.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table 13.404

347

Microsoft Word - table_20.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7

348

Microsoft Word - table_21.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table79

349

Microsoft Word - table_22.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table790

350

Microsoft Word - table_23.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7906

351

Microsoft Word - table_24.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7906

352

Microsoft Word - table_25.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table79068

353

Microsoft Word - table_26.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table790687

354

Microsoft Word - table_27.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand Cubic Feet)December3 Table7906878

355

Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations  

E-Print Network [OSTI]

Irwin Fort Sill Yuma Pg Fort Bliss Fort Sam Houston FortEstimated H V A C EUIs at Fort Bliss Table 5-12. Annual DOE-Estimated Electricity Use at Fort Bliss [GWh/yr] Table 5-24.

Konopacki, S.J.

2010-01-01T23:59:59.000Z

356

Environmental Regulatory Update Table, December 1989  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlbert, L.M.; Langston, M.E. (Tennessee Univ., Knoxville, TN (USA)); Nikbakht, A.; Salk, M.S. (Oak Ridge National Lab., TN (USA))

1990-01-01T23:59:59.000Z

357

Environmental regulatory update table, March 1989  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

1989-04-01T23:59:59.000Z

358

Environmental Regulatory Update Table, April 1989  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

1989-05-01T23:59:59.000Z

359

Environmental Regulatory Update Table, October 1991  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

1991-11-01T23:59:59.000Z

360

Environmental Regulatory Update Table, November 1990  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Hawkins, G.T.; Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

1990-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "table state estimated" 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

Environmental regulatory update table, July 1991  

SciTech Connect (OSTI)

This Environmental Regulatory Update Table (July 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

1991-08-01T23:59:59.000Z

362

Environmental Regulatory Update Table, November 1991  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

1991-12-01T23:59:59.000Z

363

Environmental Regulatory Update Table, September 1991  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

1991-10-01T23:59:59.000Z

364

Environmental Regulatory Update Table, December 1991  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

1992-01-01T23:59:59.000Z

365

Environmental Regulatory Update Table, August 1991  

SciTech Connect (OSTI)

This Environmental Regulatory Update Table (August 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M., Hawkins, G.T.; Salk, M.S.

1991-09-01T23:59:59.000Z

366

Analysis and behavioral modeling of the Finite State Machines of the Xpress Transfer Protocol  

E-Print Network [OSTI]

OF THE 3. 4 SPECIFICATION OF THE XTP FINITE STATE MACHINES . A. XTP Context Manager State Machine B. XTP Output State Machine C. XTP Sync State Machine. D. XTP Rate Control State Machine E. XTP Control-Send State Machine. . . F. XTP Input State... control parameters 26 II XTP context manager state transition table[12]. III XTP output state machine transition table [12]. IV XTP sync state machine transition table[12]. 40 V XTP rate control state machine transition table[12]. VI XTP control...

Madduri, Venkateswara Rao

1994-01-01T23:59:59.000Z

367

Summary Statistics Table 1. Crude Oil Prices  

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

Cost Report." Figure Energy Information Administration Petroleum Marketing Annual 1996 3 Table 2. U.S. Refiner Prices of Petroleum Products to End Users (Cents per Gallon...

368

TABLE OF CONTENTS NIST Map ...................................................................................................................................................3  

E-Print Network [OSTI]

TABLE OF CONTENTS NIST Map the Power Grid PML TIME SPEAKER UNIVERSITY TITLE LAB 3:00P Brian Weinstein American University Temperature

369

TableHC2.12.xls  

Gasoline and Diesel Fuel Update (EIA)

Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information Administration: 2005...

370

Supplemental Tables to the Annual Energy Outlook  

Reports and Publications (EIA)

The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

2014-01-01T23:59:59.000Z

371

Tables in Context: Integrating Horizontal Displays with  

E-Print Network [OSTI]

design challenges for tabletop interfaces: integrating access to public and private information, managing a cooperative gesture to organize digital documents on an interactive table. Our tabletop interface designTables in Context: Integrating Horizontal Displays with Ubicomp Environments Abstract Our work

Klemmer, Scott

372

Table Of Contents Section: Page  

E-Print Network [OSTI]

with federal, state, and local drinking water standards. b. When drinking water is obtained from an on Act, 40 CFR 141-143, and any state, or local drinking water regulations. c. If water is not available with the services provided by a licensed potable water contractor. d. Outside the Continental Unites States (OCONUS

US Army Corps of Engineers

373

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

E-Print Network [OSTI]

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

Miller, William J.

2011-01-01T23:59:59.000Z

374

Nozick's minimal state?  

E-Print Network [OSTI]

seemed to have problems doing so, myself. Finally, I must give special acknowledgment to Debbie Hutchins for listening to me whine. TABLE OF CONTENTS ABSTRACT. DEDICATION. Page iv ACKNOWLEDGMENTS. . TABLE OF CO~5. . CHAPTER I INTRODUCTION. II.... Protective Policy Possibilities. . IV PROTECTIVE WELFARE. 8 11 14 25 29 30 34 39 43 50 56 Case 1: Roads. . Case 2: Education. Case 3: The Marshall Plan. . Arguments and Analysis. V A NOZICKIAN STATE Policy Objedions...

Russell, Darrell James

1995-01-01T23:59:59.000Z

375

Cost Estimator  

Broader source: Energy.gov [DOE]

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

376

1997 Housing Characteristics Tables Home Office Equipment Tables  

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

States, Percent of U.S. Households, 1997 1 HC7-8b. Home Office Equipment by UrbanRural Location, Percent of U.S. Households, 1997 1 HC7-9b. Home Office Equipment by...

377

INTERNSHIP HANDBOOK Montana State University  

E-Print Network [OSTI]

INTERNSHIP HANDBOOK Montana State University Counseling Program 2014-2015 #12;2 TABLE OF CONTENTS..........................................................................................................................................4 INTERNSHIP ASSIGNMENT TO YOUR PLACEMENT SITES........................................................................................5 APPLICATION TO INTERNSHIP SITES INTERNSHIP AT PLACE OF EMPLOYMENT OTHER IMPORTANT INFORMATION

Dyer, Bill

378

Table of Contents Producing Hydrogen................1  

E-Print Network [OSTI]

. It can store the energy from diverse domestic resources (including clean coal, nuclear renewable resources, nuclear energy, and coal with carbon capture and storage. 1 #12;Potential for clean1 #12;Table of Contents Producing Hydrogen................1 Hydrogen Production Technologies

379

Table of Contents Resilient Sustainable Communities  

E-Print Network [OSTI]

..................................... 5 Onondaga County: Sustainable Development Plan....................... 9 Comparison of the Hazard Mitigation Plan and Onondaga County Sustainable Development Plan DraftTable of Contents Resilient Sustainable Communities: Integrating Hazard Mitigation & Sustainability

380

Table of Contents Chapter and Content Pages  

E-Print Network [OSTI]

#12;Page 2 Table of Contents Chapter and Content Pages 1. Field Trip Itinerary ................................................................................. 7 4. Geologic Framework of the Netherlands Antilles 5. Coral Reefs of the Netherlands Antilles

Fouke, Bruce W.

Note: This page contains sample records for the topic "table state estimated" 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

ii Colorado Climate Table of Contents  

E-Print Network [OSTI]

#12;ii Colorado Climate Table of Contents Web: http://climate.atmos.colostate.edu Colorado Climate Spring 2002 Vol. 3, No. 2 Lightning in Colorado . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Colorado Climate in Review

382

La Thuile 2014: Theoretical premises to neutrino round table  

E-Print Network [OSTI]

This talk, dedicated to the memory of G. Giacomelli, introduced the round table on neutrinos held in February 2014. The topics selected for the discussion are: 1) the neutrinoless double beta decay rate (interpretation in terms of light neutrinos, nuclear uncertainties); 2) the physics in the gigantic water Cherenkov detectors (proton decay, atmospheric neutrinos); 3) the study of neutrino oscillations (mass hierarchy and CP violation; other neutrino states); 4) the neutrino astronomy at low and high energies (solar, supernova, cosmic neutrinos). The importance of an active interplay between theory and experiment is highlighted.

Francesco Vissani

2014-05-25T23:59:59.000Z

383

La Thuile 2014: Theoretical premises to neutrino round table  

E-Print Network [OSTI]

This talk, dedicated to the memory of G. Giacomelli, introduced the round table on neutrinos held in February 2014. The topics selected for the discussion are: 1) the neutrinoless double beta decay rate (interpretation in terms of light neutrinos, nuclear uncertainties); 2) the physics in the gigantic water Cherenkov detectors (proton decay, atmospheric neutrinos); 3) the study of neutrino oscillations (mass hierarchy and CP violation; other neutrino states); 4) the neutrino astronomy at low and high energies (solar, supernova, cosmic neutrinos). The importance of an active interplay between theory and experiment is highlighted.

Vissani, Francesco

2014-01-01T23:59:59.000Z

384

State Energy Price System: 1982 update  

SciTech Connect (OSTI)

The State Energy Price System (STEPS) contains estimates of energy prices for ten major fuels (electricity, natural gas, metallurgical coal, steam coal, distillate, motor gasoline, diesel, kerosene/jet fuel, residual fuel, and liquefied petroleum gas), by major end-use sectors (residential, commercial, industrial, transportation, and electric utility), and by state through 1982. Both physical unit prices and prices per million Btu are included in STEPS. Major changes in STEPS data base for 1981 and 1982 are described. The most significant changes in procedures for the updates occur in the residential sector distillate series and the residential sector kerosene series. All physical unit and Btu prices are shown with three significant digits instead of with four significant digits as shown in the original documentation. Details of these and other changes are contained in this report, along with the updated data files. 31 references, 65 tables.

Imhoff, K.L.; Fang, J.M.

1984-10-01T23:59:59.000Z

385

On the empirical statistics of parameter estimates in parametric modeling  

E-Print Network [OSTI]

FOR ESTIMATING HIGHLY DAMPED SINUSOIDAL SIGNALS IN ADDTIVE NOISE Page 4. 1 Introduction 4. 2 Eigenvector Method 4. 3 Weighted Least Squares Estimation of Damped Sinusoids Based on. Noise-Reduced Data 4. 3. 1 Noise Reduction with SVD 4. 3. 2 Weighted Least... Squares Method 4. 3. 3 Experimental Results 55 59 63 63 65 68 V CONCLUSIONS AND POSSIBLE EXTENSIONS REFERENCES 72 VITA 77 LIST OF TABLES Table 2. 1 The sample biases of the parameter estimates using Burg lattice method, in model one...

Zhu, Yao

1988-01-01T23:59:59.000Z

386

area state-approved land: Topics by E-print Network  

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

Author Glenn Patrick Juday is associate professor of plant ecology and Alaska ecological reserves Big Windy Hot Springs; Glenn Patrick Juday 24 Table 1. Annual estimates,...

387

State and Local Energy Assurance Planning | Department of Energy  

Energy Savers [EERE]

to support their energy emergency response activities. This is done through forums, web-based training, and table top exercises for federal, State, and local energy officials...

388

FY 2009 Volume Summary table  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of EnergyOrganization (dollarsControlState6State of734567

389

Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics for the alluvium (Stephens et al.).  

E-Print Network [OSTI]

A-1 Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics Deviation .1708 4.274 28.95 Harmonic Mean Number of Observations 9 8 8 2 2 2 2 2 Table A2. Hydraulic.3×10-5 Number of Observations 10 10 10 34 34 4 4 4 #12;A-2 Table A3. Hydraulic properties statistics

390

A Monte Carlo study of the distribution of parameter estimators in a dual exponential decay model  

E-Print Network [OSTI]

inspired me to overcome several problems in preparing this paper. TABLE OF CONTENTS Chapter I. INTRODUCTION II, PROCEDURE Selecting Representative Parameters Generating Sample Curves Obtaining the Parameter Estimates 3 3 4 III, ANALYSIS... Type I Parameter Estimates 3. Set-3 Type I Parameter Estimates 4. Set-3A Type I Parameter Estimates 5. Summary of Chi-square Goodness of Fit Test 6. Set-1 Type II Parameter Estimates 7. Set-2 Type II Parameter Estimates 8. Set-3 Type II Parameter...

Garcia, Raul

1969-01-01T23:59:59.000Z

391

Table Of Contents Section: Page  

E-Print Network [OSTI]

or Licenses that a Master or Journeyman Electrician may hold, depending on work being performed, and should be identified in the appropriate AHA. Journeyman/Apprentice ratio shall be in accordance with State, Local or Journeyman Electrician may hold, or USACE sponsored local training programs (e.g., hydropower training

US Army Corps of Engineers

392

1020 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 62, NO. 3, MARCH 2013 State of Charge Estimation of Lithium-Ion Batteries  

E-Print Network [OSTI]

Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering Zheng Chen. Index Terms--Extended Kalman filter (EKF), hardware-in- the-loop, lithium-ion battery, nonlinear battery], a modeling approach for the scale-up of a lithium- ion polymer battery (LIPB) is reported. A comparison

Mi, Chunting "Chris"

393

The Founding of ALA's Map and Geography Round Table : Looking Back to See the Future  

E-Print Network [OSTI]

In 1979, a group of map librarians founded the American Library Association’s Map and Geography Round Table (MAGERT). An examination of the organization’s creation and early history offers a glimpse into the state of map librarianship at that time...

Weimer, Katherine H.

2011-01-01T23:59:59.000Z

394

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...  

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

71.6 92.3 78.2 101.8 83.6 87.5 74.7 See footnotes at end of table. A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District, and State, 1984-Present 452 Energy Information...

395

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

82.4 77.1 68.9 62.6 71.6 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information...

396

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

82.5 75.1 68.6 62.0 70.7 92.7 90.7 81.5 72.8 - 78.0 See footnotes at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information...

397

Phenomena identification and ranking tables (PIRT) for LBLOCA  

SciTech Connect (OSTI)

The US Nuclear Regulatory Commission is sponsoring a program to provide validated reactor safety computer codes with quantified uncertainties. The intent is to quantify the accuracy of the codes for use in best estimate licensing applications. One of the tasks required to complete this program involves the identification and ranking of thermal-hydraulic phenomena that occur during particular accidents. This paper provides detailed tables of phenomena and importance ranks for a PWR LBLOCA. The phenomena were identified and ranked according to perceived impact on peak cladding temperature. Two approaches were used to complete this task. First, a panel of experts identified the physical processes considered to be most important during LBLOCA. A second team of experienced analysts then, in parallel, assembled complete tables of all plausible LBLOCA phenomena, regardless of perceived importance. Each phenomenon was then ranked in importance against every other phenomenon associated with a given component. The results were placed in matrix format and solved for the principal eigenvector. The results as determined by each method are presented in this report.

Shaw, R.A.; Dimenna, R.A.; Larson, T.K.; Wilson, G.E.

1987-01-01T23:59:59.000Z

398

Table 6. Energy intensity by State (2000 - 2011)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. NaturalA. Michael Schaal Director, Oilthe Energy1,18120112011U.S.Energy

399

Estimated monthly emissions of sulfur dioxide, oxides of nitrogen, and volatile organic compounds for the 48 contiguous states, 1985-1986: Volume 2, Sectoral emissions by month for states  

SciTech Connect (OSTI)

A listing by source of sulfur dioxide, nitrogen oxides and volatile organic compounds emitted in 48 states of the US is provided. (CBS)

Kohout, E.J.; Knudson, D.A.; Saricks, C.L.; Miller, D.J.

1987-11-01T23:59:59.000Z

400

"Table A29. Average Prices of Selected Purchased Energy Sources by Census"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table2" " (Estimates in

Note: This page contains sample records for the topic "table state estimated" 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

1 Estimating aquifer hydraulic properties from the inversion of surface 2 Streaming Potential (SP) anomalies  

E-Print Network [OSTI]

1 Estimating aquifer hydraulic properties from the inversion of surface 2 Streaming Potential (SP with the geometry of the water table. It follows that 11 SP measurements can be used to estimate aquifer hydraulic and found that we 14 are able to estimate the hydraulic conductivity and the depth 15 and the thickness

Sailhac, Pascal

402

Table of hyperfine anomaly in atomic systems  

SciTech Connect (OSTI)

This table is a compilation of experimental values of magnetic hyperfine anomaly in atomic and ionic systems. The last extensive compilation was published in 1984 by Büttgenbach [S. Büttgenbach, Hyperfine Int. 20 (1984) 1] and the aim here is to make an up to date compilation. The literature search covers the period up to January 2011.

Persson, J.R., E-mail: jonas.persson@ntnu.no

2013-01-15T23:59:59.000Z

403

STUDENT HANDBOOK Table of Contents Page Number  

E-Print Network [OSTI]

STUDENT HANDBOOK Campus #12;Table of Contents Page Number Welcome 1 The School 1 Mission Statement Student Resources 8 Financial Aid and Funding Sources Writing Supports 9 Special Needs Computers Libraries RefWorks 10 Student Services 11 Administrative Information 14 Student ID, and Email Accounts U of R

Saskatchewan, University of

404

Student Mobile Device Survey Table of Contents  

E-Print Network [OSTI]

CiCS. Student Mobile Device Survey 2011 Table of Contents Section Number Subject Page 1 With little information and supporting evidence on student ownership and usage of mobile devices at the University of Sheffield, making decisions on our services and support for mobile devices has been based

Martin, Stephen John

405

Philosophy 57 Greensheet (Syllabus) Table of Contents  

E-Print Network [OSTI]

Philosophy 57 Greensheet (Syllabus) Table of Contents: Instructor Information Course Home Page Greensheet Page Page 1 of 3http://philosophy.wisc.edu/fitelson/57/syllabus.htm #12;I highly recommend using/syllabus.htm #12;Your 2 lowest quiz grades will be dropped ( , your 5 best quiz scores will be averaged). i

Fitelson, Branden

406

CONTENTDM ADVANCED SEARCH TUTORIAL Table of Contents  

E-Print Network [OSTI]

1 CONTENTDM ADVANCED SEARCH TUTORIAL Table of Contents 1. Accessing the Advanced Search Page 1 2. Navigating the Advanced Search Page 3 3. Selecting your collection to search Advanced Search from the right navigation menu. 2 This will take you into the CONTENTdm database

O'Laughlin, Jay

407

Fast mix table construction for material discretization  

SciTech Connect (OSTI)

An effective hybrid Monte Carlo-deterministic implementation typically requires the approximation of a continuous geometry description with a discretized piecewise-constant material field. The inherent geometry discretization error can be reduced somewhat by using material mixing, where multiple materials inside a discrete mesh voxel are homogenized. Material mixing requires the construction of a 'mix table,' which stores the volume fractions in every mixture so that multiple voxels with similar compositions can reference the same mixture. Mix table construction is a potentially expensive serial operation for large problems with many materials and voxels. We formulate an efficient algorithm to construct a sparse mix table in O(number of voxels x log number of mixtures) time. The new algorithm is implemented in ADVANTG and used to discretize continuous geometries onto a structured Cartesian grid. When applied to an end-of-life MCNP model of the High Flux Isotope Reactor with 270 distinct materials, the new method improves the material mixing time by a factor of 100 compared to a naive mix table implementation. (authors)

Johnson, S. R. [Oak Ridge National Laboratory, Oak Ridge, TN 37831 (United States)

2013-07-01T23:59:59.000Z

408

VEHICLE SERVICES POLICY Table of Contents  

E-Print Network [OSTI]

VEHICLE SERVICES POLICY Table of Contents 1. Policy 2. Procedures a. Vehicle Services Oversight b. Vehicle Maintenance and Inspection c. Authorized Drivers d. Responsibilities Back to Top (To download requirements for AUB's vehicles, the University has adopted a policy of centralizing these activities under one

Shihadeh, Alan

409

Section 4. Inventory Table of Contents  

E-Print Network [OSTI]

Section 4. Inventory Table of Contents 4.1 Existing Legal Protections........................................................................................................... 14 #12;Draft Umatilla/Willow Subbasin Plan May 28, 2004 4. Inventory of Existing Activities The following section contains information derived from an inventory questionnaire that was sent

410

ii Colorado Climate Table of Contents  

E-Print Network [OSTI]

#12;ii Colorado Climate Table of Contents Web: http://climate.atmos.colostate.edu Colorado Climate Winter 2001-2002 Vol. 3, No. 1 Why Is the Park Range Colorado's Snowfall Capital? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .10 The Cold-Land Processes Field Experiment: North-Central Colorado

411

ii Colorado Climate Table of Contents  

E-Print Network [OSTI]

#12;ii Colorado Climate Table of Contents An Unusually Heavy Snowfall in North Central Colorado . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 A Brief History of Colorado's Most Notable Snowstorms" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .18 Colorado Climate Water Year 2003 Vol. 4, No. 1-4 If you have a photo or slide that your would like

412

VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents  

E-Print Network [OSTI]

of a license/permit for each piece of equipment, an Operator Equipment Qualification Record (DA Form 348EM 385-1-1 XX Sep 13 i Section 18 VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents Section: Page...................................................................18-16 18.G Machinery And Mechanized Equipment.........................18-16 18.H Drilling Equipment

US Army Corps of Engineers

413

Impact of price specials on estimates of retail meat prices  

E-Print Network [OSTI]

ighting Technique V. V. SUM'JARA' AND CONCLUSIONS. 46 55 o3 69 Ti. me-of-the-Week to Collect Prices. Bias Reduced by Regression. Concluding Statement. REFEBENCES. APPENDIX. 89 90 95 100 115 vill LIST OF TABLES Table Page 1-1. Relative...' or individual items in Dallas and Houston. 101 3-1. Simulated BLS price estimates of 46 meat items based upon different sampling rates and weighted average price, or all data, July 1968. . . . . . . . . . . . 107 "Error" of price estimates; differences...

Degner, Robert L

1970-01-01T23:59:59.000Z

414

SciTech Connect: Radioactive decay data tables  

Office of Scientific and Technical Information (OSTI)

Radioactive decay data tables Citation Details In-Document Search Title: Radioactive decay data tables You are accessing a document from the Department of Energy's (DOE) SciTech...

415

MemTable : contextual memory in group workspaces  

E-Print Network [OSTI]

This thesis presents the design and implementation of MemTable, an interactive touch table that supports co-located group meetings by capturing both digital and physical interactions in its memory. The goal of the project ...

Hunter, Seth E

2009-01-01T23:59:59.000Z

416

Table Contents Page i 2013 Nonresidential Compliance Manual January 2014  

E-Print Network [OSTI]

Table B-1 Room Air Conditioner, Room Air-Conditioning Heat Pump, Packaged Terminal Air Conditioner ....................................................................................11 Table B-2 Standards for Room Air Conditioners and Room Air-Conditioning Heat Pumps...........12 Central Air Conditioner Test Methods

417

Petroleum Products Table 31. Motor Gasoline Prices by Grade...  

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

99.2 - 105.3 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

418

Petroleum Products Table 31. Motor Gasoline Prices by Grade...  

Gasoline and Diesel Fuel Update (EIA)

66.6 - 72.3 See footnotes at end of table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

419

Petroleum Products Table 43. Refiner Motor Gasoline Volumes...  

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

133.6 - 276.4 See footnotes at end of table. 220 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

420

Petroleum Products Table 43. Refiner Motor Gasoline Volumes...  

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

201.3 - 453.3 See footnotes at end of table. 262 Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

Note: This page contains sample records for the topic "table state estimated" 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

Environmental Regulatory Update Table, January/February 1992  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This table is for January/February 1992.

Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

1992-03-01T23:59:59.000Z

422

Effective July 1, 2013 Table of Organization: College of Law  

E-Print Network [OSTI]

Effective July 1, 2013 Table of Organization: College of Law Dean Gail Agrawal Assistant to the Dean Legal Clinic Julie Kramer {See Clinic Table for organization} Special Assistant to the Dean Gerhild Krapf Centers {See separate tables for organization} Assoc. Dean for Research Assoc. Dean Assoc

Stanier, Charlie

423

Environmental Regulatory Update Table, January/February 1995  

SciTech Connect (OSTI)

The Environmental Regulatory Update Table provides information on regulatory initiatives impacting environmental, health, and safety management responsibilities. the table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Mayer, S.J.; Salk, M.S.

1995-03-01T23:59:59.000Z

424

Un exemple de conversion d'une table de production en volume en tables de production en biomasse  

E-Print Network [OSTI]

Un exemple de conversion d'une table de production en volume en tables de production en biomasse secteur ligérien, proposée par PARD� en 1962, est convertie en quatre tables de production en biomasse correspondant chacune à une partie de l'arbre ou à l'arbre entier, biomasse foliaire exclue. La conversion est

Paris-Sud XI, Université de

425

Integral CFLs performance in table lamps  

SciTech Connect (OSTI)

This paper focuses on performance variations associated with lamp geometry and distribution in portable table luminaires. If correctly retrofit with compact fluorescent lamps (CFLs), these high use fixtures produce significant energy savings, but if misused, these products could instead generate consumer dissatisfaction with CFLs. It is the authors assertion that the lumen distribution of the light source within the luminaires plays a critical role in total light output, fixture efficiency and efficacy, and, perhaps most importantly, perceived brightness. The authors studied nearly 30 different integral (screw-based) CFLs available on the market today in search of a lamp, or group of lamps, which work best in portable table luminaires. The findings conclusively indicate that horizontally oriented CFLs outperform all other types of CFLs in nearly every aspect.

Page, E.; Driscoll, D.; Siminovitch, M.

1997-03-01T23:59:59.000Z

426

Tables of thermodynamic properties of sodium  

SciTech Connect (OSTI)

The thermodynamic properties of saturated sodium, superheated sodium, and subcooled sodium are tabulated as a function of temperature. The temperature ranges are 380 to 2508 K for saturated sodium, 500 to 2500 K for subcooled sodium, and 400 to 1600 K for superheated sodium. Tabulated thermodynamic properties are enthalpy, heat capacity, pressure, entropy, density, instantaneous thermal expansion coefficient, compressibility, and thermal pressure coefficient. Tables are given in SI units and cgs units.

Fink, J.K.

1982-06-01T23:59:59.000Z

427

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number

428

Cost estimates for near-term depolyment of advanced traffic management systems. Final report  

SciTech Connect (OSTI)

The objective of this study is to provide cost est engineering, design, installation, operation and maintenance of Advanced Traffic Management Systems (ATMS) in the largest 75 metropolitan areas in the United States. This report gives estimates for deployment costs for ATMS in the next five years, subject to the qualifications and caveats set out in following paragraphs. The report considers infrastructure components required to realize fully a functional ATMS over each of two highway networks (as discussed in the Section describing our general assumptions) under each of the four architectures identified in the MITRE Intelligent Vehicle Highway Systems (IVHS) Architecture studies. The architectures are summarized in this report in Table 2. Estimates are given for eight combinations of highway networks and architectures. We estimate that it will cost between $8.5 Billion (minimal network) and $26 Billion (augmented network) to proceed immediately with deployment of ATMS in the largest 75 metropolitan areas. Costs are given in 1992 dollars, and are not adjusted for future inflation. Our estimates are based partially on completed project costs, which have been adjusted to 1992 dollars. We assume that a particular architecture will be chosen; projected costs are broken by architecture.

Stevens, S.S.; Chin, S.M.

1993-02-15T23:59:59.000Z

429

PROPERTY TABLES AND CHARTS (SI UNITS) Table A1 Molar mass, gas constant, and  

E-Print Network [OSTI]

.0943 Carbon monoxide CO 28.011 0.2968 133 3.50 0.0930 Carbon tetrachloride CCl4 153.82 0.05405 556.4 4.56 0 Table A­20 Ideal-gas properties of carbon dioxide, CO2 Table A­21 Ideal-gas properties of carbon.1355 n-Butane C4H10 58.124 0.1430 425.2 3.80 0.2547 Carbon dioxide CO2 44.01 0.1889 304.2 7.39 0

Kostic, Milivoje M.

430

adaptive parameter estimation: Topics by E-print Network  

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

Tokamak Heat Computer Technologies and Information Sciences Websites Summary: . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation,...

431

Estimation of steady-state and transcient power distributions for the RELAP analyses of the 1963 loss-of-flow and loss-of-pressure tests at BR2.  

SciTech Connect (OSTI)

To support the safety analyses required for the conversion of the Belgian Reactor 2 (BR2) from highly-enriched uranium (HEU) to low-enriched uranium (LEU) fuel, the simulation of a number of loss-of-flow tests, with or without loss of pressure, has been undertaken. These tests were performed at BR2 in 1963 and used instrumented fuel assemblies (FAs) with thermocouples (TC) imbedded in the cladding as well as probes to measure the FAs power on the basis of their coolant temperature rise. The availability of experimental data for these tests offers an opportunity to better establish the credibility of the RELAP5-3D model and methodology used in the conversion analysis. In order to support the HEU to LEU conversion safety analyses of the BR2 reactor, RELAP simulations of a number of loss-of-flow/loss-of-pressure tests have been undertaken. Preliminary analyses showed that the conservative power distributions used historically in the BR2 RELAP model resulted in a significant overestimation of the peak cladding temperature during the transient. Therefore, it was concluded that better estimates of the steady-state and decay power distributions were needed to accurately predict the cladding temperatures measured during the tests and establish the credibility of the RELAP model and methodology. The new approach ('best estimate' methodology) uses the MCNP5, ORIGEN-2 and BERYL codes to obtain steady-state and decay power distributions for the BR2 core during the tests A/400/1, C/600/3 and F/400/1. This methodology can be easily extended to simulate any BR2 core configuration. Comparisons with measured peak cladding temperatures showed a much better agreement when power distributions obtained with the new methodology are used.

Dionne, B.; Tzanos, C. P. (Nuclear Engineering Division)

2011-05-23T23:59:59.000Z

432

An Estimate of Energy Use in Laboratories, Cleanrooms, and Data Centers in New York  

SciTech Connect (OSTI)

Laboratories, cleanrooms and data centers are very energy-intensive. For example, laboratories are typically three to eight times as energy intensive as a typical office building, and a data center may be as much as 20-50 times as energy intensive as a typical office building. This technical note presents an estimate of the total energy use in laboratories, cleanrooms and data centers in New York. There is generally very limited data on energy use in the high tech sector, both at the national and state level. Since it was beyond the scope of this project to develop primary data through surveys, the analysis relied primarily on the use of proxy indicators and extrapolation from national data where available. The results for each building type are summarized below in table E-1 and figure E-1.

Mathew, Paul

2008-10-01T23:59:59.000Z

433

TABLE14.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

4. Production of Crude Oil by PAD District and State, January 1998 PAD District and State Total Daily Average (Thousand Barrels) PAD District I ......

434

Table 3.1 Fuel Consumption, 2010;  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: ReportedEnergyChanges to3.1

435

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:PrincipalExplorationPrices

436

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number of Producing Gas WellsLNG

437

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number of Producing Gas

438

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number of Producing GasU.S. Underground

439

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number of Producing GasU.S.

440

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number of Producing

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


441

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number ofExports Definitions Key Terms

442

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number ofExports Definitions Key

443

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number ofExports DefinitionsImports by

444

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number ofExportsPreliminary Crude

445

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number ofExportsPreliminary

446

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.Number ofExportsPreliminaryNumber

447

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefiner Net Production

448

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefiner NetAPI GravityNo.

449

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefiner NetAPI GravityNo.Weekly

450

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotor Gasoline Prices

451

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotor GasolineSpot Prices

452

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotor GasolineSpotStocks

453

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotor

454

Table Definitions, Sources, and Explanatory Notes  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1.NumberRefinerMotorSummary Topic: Weekly

455

TableHC10.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.1 Housing Unit

456

TableHC10.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.1 Housing

457

TableHC10.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.1 Housing20.6

458

TableHC10.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.1

459

TableHC11.12.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.115.1 5.5

460

TableHC11.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.115.1 5.515.1

Note: This page contains sample records for the topic "table state estimated" 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

TableHC11.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.115.1

462

TableHC11.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.115.1Number of

463

TableHC12.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.115.1Number

464

TableHC12.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total End-Use6a.Charm0.115.1Number5.6

465

TableHC12.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. Total

466

TableHC12.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water Heaters

467

TableHC13.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water Heaters3.1

468

TableHC13.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water Heaters3.10.7

469

TableHC13.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water Heaters3.10.70.7

470

TableHC13.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water

471

TableHC14.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.1 Housing Unit

472

TableHC14.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.1 Housing

473

TableHC14.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.1 Housing4.2 7.6

474

TableHC14.5.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.1 Housing4.2

475

TableHC14.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.1

476

TableHC15.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.15.1 Housing

477

TableHC15.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.15.1 Housing7.1

478

TableHC15.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.15.1 Housing7.18

479

TableHC2.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.15.1

480

TableHC2.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.15.1

Note: This page contains sample records for the topic "table state estimated" 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

TableHC2.10.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.15.1Coventional

482

TableHC2.11.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Water4.15.1Coventional

483

TableHC2.12.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of

484

TableHC2.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million U.S. Housing

485

TableHC2.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million U.S. Housing

486

TableHC2.2.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million U.S.

487

TableHC2.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million

488

TableHC2.3.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million

489

TableHC2.4.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.5 72.1 7.6 N

490

TableHC2.5.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.5 72.1 7.6 N

491

TableHC2.6.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.5 72.1 7.6

492

TableHC2.7.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.5 72.1

493

TableHC2.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.5 72.1Number

494

TableHC2.9.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.5 72.1Number9

495

TableHC3.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.5

496

TableHC3.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.578.1 64.1

497

TableHC4.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.578.1

498

TableHC4.13.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.578.1.. 111.1

499

TableHC4.8.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.578.1..

500

TableHC5.1.xls  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystallineForeign ObjectOUR TableE9. TotalNumber of Million81.578.1...