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Note: This page contains sample records for the topic "gross inland consumption" 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

Inland capture fisheries  

Science Journals Connector (OSTI)

...from a particular water body or for conservation initiatives...exploit common pool resources. Their...access to the water body and resource...fisheries and conservation objectives for...biodiversity in inland waters. J. Fish Biol...

2010-01-01T23:59:59.000Z

2

Photosynthesis and the dynamics of oxygen consumption in a ...  

Science Journals Connector (OSTI)

photosynthesis minus oxygen consumption), and gross photosynthesis at high ... The depth distribution of gross photosynthesis, as obtained by the cycling ...

1999-11-15T23:59:59.000Z

3

Inland Navigation Districts and Florida Inland Navigation District Law  

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

Inland Navigation Districts and Florida Inland Navigation District Inland Navigation Districts and Florida Inland Navigation District Law (Florida) Inland Navigation Districts and Florida Inland Navigation District Law (Florida) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Florida Program Type Siting and Permitting Provider Florida Inland Navigation District (FIND) The first part of this legislation establishes Inland Navigation Districts,

4

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

5

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet)...

6

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square...

7

INLAND PORT TRANSPORTATION EVALUATION GUIDE  

E-Print Network (OSTI)

INLAND PORT TRANSPORTATION EVALUATION GUIDE by Robert Harrison, Center for Transportation Research Transportation Institute, The Texas A&M University System; and Jolanda Prozzi, Center for Transportation Research, The University of Texas at Austin CENTER FOR TRANSPORTATION RESEARCH Bureau of Engineering Research

Texas at Austin, University of

8

grossWCI.dvi  

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

mechanics. D.H.E. Gross 1 Hahn-Meitner Institute Glienickerstr. 100 14109 Berlin, Germany gross@hmi.de; http:www.hmi.depeoplegross 2 Freie Universit at Berlin,...

9

Inland Wetlands and Water Courses Regulations (Connecticut)  

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

Regulated activities in or near inland wetlands and water courses include the removal or depositing of material, land or water obstruction or alteration, construction, pollution, or water diversion...

10

Total Natural Gas Gross Withdrawals (Summary)  

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

Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells...

11

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings...

12

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 All Buildings* Sum of Major Fuel Consumption Number of Buildings (thousand)...

13

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace...

14

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

15

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

16

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

17

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace...

18

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total...

19

What is Gross Up?  

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

/19/12 Rev 0 /19/12 Rev 0 What is Gross Up? Gross up on relocation refers to money that is added to your pay to offset the federal and state tax deducted from the relocation reimbursement amount. You do not see the money in your pocket, but rather it offsets taxes that would have reduced the payment if we had not paid you the additional amount. For example: If the Relocation reimbursement request submitted = $5668. Without a gross up the net payment received would be $3539.66 because federal and state taxes reduce the pay out by $1694.73 ($1417 federal + $277.73 state). Paying only the additional amount of the taxes would create a larger tax burden because there would be taxes on that additional amount as well. Instead by paying an additional $2417.59 the federal and state taxes on the original $5668 and the additional federal and state taxes on

20

Ecosystem approach to inland fisheries: research needs and implementation strategies  

Science Journals Connector (OSTI)

...fisheries into ecosystem approaches for management of inland waters...natural and social science approaches to address coupled...ecosystem approaches for management of inland waters...natural and social science approaches to address coupled...

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gross inland consumption" 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

Macroeconomic Real Gross Domestic Product  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Macroeconomic Real Gross Domestic Product (billion chained 2009 dollars - SAAR) ............. 15,584 15,680 15,819 15,886 15,970 16,068 16,173 16,295 16,422 16,557 16,701 16,832 15,742 16,127 16,628 Real Disposable Personal Income (billion chained 2009 dollars - SAAR) ............. 11,502 11,618 11,703 11,757 11,883 11,970 12,057 12,151 12,273 12,363 12,451 12,526 11,645 12,015 12,403 Real Personal Consumption Expend. (billion chained 2009 dollars - SAAR) ............. 10,644 10,692 10,729 10,813 10,884 10,959 11,036 11,114 11,191 11,264 11,343 11,416 10,719 10,998 11,304 Real Fixed Investment (billion chained 2009 dollars - SAAR) ............. 2,420 2,458 2,491 2,508 2,551 2,604 2,655 2,700 2,752 2,816 2,885 2,944 2,469 2,627 2,849 Business Inventory Change (billion chained 2009 dollars - SAAR) .............

22

Towards a flexible energy system – A case study for Inland Norway  

Science Journals Connector (OSTI)

Abstract This paper analyze the benefits of the use of bioenergy, solar thermal and wind energy in a flexible energy system to increase the share of renewable sources (RES) in primary energy supply, reduce primary energy consumption (PEC) and ensure power supply security in Inland Norway, and Norway at large. Firstly, the Inland reference energy system was built and validated using the EnergyPLAN system analysis tool based on the year 2009. Two alternative systems (scenarios), mainly of bio-heat and heat pumps in individual and district heating systems were then constructed and compared with the reference system using EnergyPLAN. The quality of a given energy system can be best described by its PEC, RES, emission levels and socio-economic costs. The result shows that it is plausible to improve the quality of the Inland energy system by optimal resource assortment in the energy mix. Integrated use of bio-heat and heat pumps in individual and district heating systems, as a replacement for direct electric heaters would reduce PEC and socio-economic costs considerably more than intensive bio-heating deployment alone, thereby increasing total domestic green electricity generation. The ability to integrate wind power and its value in the Inland energy system is more reflected by reducing imports of electricity during peak demand periods in winter, as wind power availability in the region is significant as opposed to the low precipitation during these periods. In addition, increasing wind energy penetration helps to limit biomass consumption in a district heating system built on heat pumps and bio-heat boilers.

Dejene Assefa Hagos; Alemayehu Gebremedhin; Björn Zethraeus

2014-01-01T23:59:59.000Z

23

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

17 17 Table C12. Total Energy Consumption, Gross Domestic Product (GDP), Energy Consumption per Real Dollar of GDP, Ranked by State, 2011 Rank Total Energy Consumption Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2005) Dollars State Thousand Btu per Chained (2005) Dollar 1 Texas 12,206.6 California 1,735.4 Louisiana 19.7 2 California 7,858.4 Texas 1,149.9 Wyoming 17.5 3 Florida 4,217.1 New York 1,016.4 North Dakota 15.4 4 Louisiana 4,055.3 Florida 661.1 Alaska 14.3 5 Illinois 3,977.8 Illinois 582.1 Mississippi 13.8 6 Ohio 3,827.6 Pennsylvania 500.4 Kentucky 13.5

24

Federal Memorandum of Understanding for Hydropower/Federal Inland  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Federal Memorandum of Understanding for Hydropower/Federal Inland Hydropower Working Group < Federal Memorandum of Understanding for Hydropower Jump to: navigation, search Federal Memorandum of Understanding for Hydropower Hydroelectric-collage2.jpg Home Federal Inland Hydropower Working Group Participating Agencies Resources Federal Inland Hydropower Working Group The Federal Inland Hydropower Working Group is made up of 15 federal entities involved in the regulation, management, or development of hydropower resources (including hydrokinetics) in rivers and streams of the

25

Gross decontamination experiment report  

SciTech Connect

A Gross Decontamination Experiment was conducted on various levels and surfaces of the TMI - Unit 2 reactor building in March 1982. The polar crane, D-rings, missile shields, refueling canals, refueling bridges, equipment, and elevations 305' and 347'-6'' were flushed with low pressure water. Additionally, floor surfaces on elevation 305' and floor surfaces and major pieces of equipment on elevation 347'-6'' were sprayed with high pressure water. Selective surfaces were decontaminated with a mechanical scrubber and chemicals. Strippable coating was tested and evaluated on equipment and floor surfaces. The effectiveness, efficiency, and safety of several decontamination techniques were established for the large, complex decontamination effort. Various decontamination equipment was evaluated and its effectiveness was documented. Decontamination training and procedures were documented and evaluated, as were the support system and organization for the experiment.

Mason, R.; Kinney, K.; Dettorre, J.; Gilbert, V.

1983-07-01T23:59:59.000Z

26

Inland Pacific Energy Center | Open Energy Information  

Open Energy Info (EERE)

Pacific Energy Center Pacific Energy Center Jump to: navigation, search Name Inland Pacific Energy Center Place Stanfield, Oregon Sector Biofuels Product Biofuels producer currently developing a portfolio of ethanol and biodiesel projects in Stanfield, Oregon. Coordinates 45.78095°, -119.217704° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.78095,"lon":-119.217704,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

27

Emotion Regulation JAMES J. GROSS  

E-Print Network (OSTI)

CHAPTER 31 ·Emotion Regulation JAMES J. GROSS Have you ever gotten so angry that you've done), and self-regulation (Mischel, Shoda, & Rodriguez, 1989). What is new are the theoretical and empiri cal

Gross, James J.

28

1999 Commercial Buildings Energy Consumption Survey Detailed Tables  

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

Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels................................................................................................... 145 Table C6. Expenditures by Census Region for Sum of Major Fuels......................... 150 Table C7. Consumption and Gross Energy Intensity by Building Size for Sum of

29

Inland Empire Utility Agency (IEUA) | Open Energy Information  

Open Energy Info (EERE)

Inland Empire Utility Agency (IEUA) Inland Empire Utility Agency (IEUA) Jump to: navigation, search Name Inland Empire Utility Agency (IEUA) Facility Inland Empire Utility Agency (IEUA) Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Foundation Windpower Developer Foundation Windpower Energy Purchaser IEUA Location Chino CA Coordinates 34.08495622°, -117.5266421° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.08495622,"lon":-117.5266421,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

30

The distribution and phenology of arbuscular mycorrhizae along an inland  

E-Print Network (OSTI)

The distribution and phenology of arbuscular mycorrhizae along an inland salinity gradient I Perry salinity gradient. Roots of Hordeu~njubaru~n,Disrichlis srricra, Agropyron trachycaulum, Sonchus arvensis, fungi, gradient, mycorrhiza, phenology, salinity, vesicles. Resume : Les patrons saisonniers et de

Kenkel, Norm

31

Energy Consumption  

Science Journals Connector (OSTI)

We investigated the relationship between electrical power consumption per capita and GDP per capita in 130 countries using the data reported by World Bank. We found that an electrical power consumption per capita...

Aki-Hiro Sato

2014-01-01T23:59:59.000Z

32

Inland Power & Light Company | Open Energy Information  

Open Energy Info (EERE)

Power & Light Company Power & Light Company Jump to: navigation, search Name Inland Power & Light Company Address 10110 W. Hallett Road Place Washington Zip 99224 Utility Id 8699 Utility Location Yes Ownership C NERC Location WECC NERC WECC Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] [2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Contents 1 About 2 Energy Rates 3 Utility Rate Schedules 4 Average Rates 5 References About Inland Power & Light Company is a utility company located in Spokane, Washington, providing power over 38,000 customers. It is the largest cooperative in Washington state. Energy Rates As of April 1, 2010, these are the rates and fees at Inland Power and Light

33

Inland Power and Light Company - Residential Energy Efficiency Rebate  

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

Inland Power and Light Company - Residential Energy Efficiency Inland Power and Light Company - Residential Energy Efficiency Rebate Programs Inland Power and Light Company - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Appliances & Electronics Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Sealing Your Home Ventilation Heat Pumps Water Heating Windows, Doors, & Skylights Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Refrigerators/Freezers Recycling: $30 Electric Water Heaters: $25 Refrigerators/Freezers: $25 Clothes Washers: $20 - $50 Energy Star Site Built Home: $1,000 Northwest Energy Efficient Manufactured Home: $1,000 Air-source Heat Pumps (Installed in an All-Electric Home): $1,000

34

Survey Consumption  

Gasoline and Diesel Fuel Update (EIA)

fsidentoi fsidentoi Survey Consumption and 'Expenditures, April 1981 March 1982 Energy Information Administration Wasningtoa D '" N """"*"""*"Nlwr. . *'.;***** -. Mik>. I This publication is available from ihe your COr : 20585 Residential Energy Consumption Survey: Consum ption and Expendi tures, April 1981 Through March 1982 Part 2: Regional Data Prepared by: Bruce Egan This report was prepared by the Energy Information Administra tion, the independent statistical

35

A systems-level methodology for the analysis of inland waterway infrastructure disruptions  

Science Journals Connector (OSTI)

Inland waterways are vital to the Nation’s economic strength, and to the health and welfare of the American people. This paper describes an end-to-end systems analysis methodology for inland waterways that inc...

Steve Folga; Tim Allison; Yazmin Seda-Sanabria…

2009-12-01T23:59:59.000Z

36

Effects of Climate Change on Inland Fishes of California  

E-Print Network (OSTI)

Effects of Climate Change on Inland Fishes of California Rebecca M. Quiñones rmquinones@ucdavis.edu Peter B Moyle pbmoyle@ucdavis.edu Center for Watershed Sciences Department of Wildlife, Fish of climate change on aquatic habitats in California · Climate change threats to native fishes · What can we

California at Davis, University of

37

Physics Nobel winner David Gross gives public lecture at Jefferson...  

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

Physics Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) June 6, 2006 David Gross David Gross, Nobel Prize recipient and lecturer David Gross,...

38

Tobacco Consumption  

Science Journals Connector (OSTI)

Tobacco consumption is the use of tobacco products in different forms such as , , , water-pipes or tobacco products. Cigarettes and tobacco products containing tobacco are highly engineered so as to creat...

Martina Pötschke-Langer

2008-01-01T23:59:59.000Z

39

,"Texas Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals and Production",10,"Monthly","92014","1151989" ,"Release...

40

,"Wyoming Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",10,"Monthly","92014","1151989" ,"Release...

Note: This page contains sample records for the topic "gross inland consumption" 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

,"Utah Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Monthly","92014","1151989" ,"Release...

42

,"Oregon Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Monthly","92014","1151991" ,"Release...

43

,"California Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Annual",2013,"6301967" ,"Release...

44

David J. Gross and the Strong Force  

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

David J. Gross and the Strong Force David J. Gross and the Strong Force Resources with Additional Information The 2004 Nobel Prize in Physics was awarded to David Gross for "the discovery of asymptotic freedom in the theory of the strong interaction". 'Gross, who obtained his PhD in physics in 1966, currently is a professor of physics and director of the Kavli Institute for Theoretical Physics at UC Santa Barbara. ... David Gross Courtesy of UC Santa Barbara [When on the faculty at Princeton University,] he and then-graduate student Frank Wilczek came up with a way to describe the "strong force" that governs interactions between protons and neutrons in the nucleus of the atom. He and Wilczek published their proposal simultaneously with H. David Politzer, a graduate student [at Harvard University] who independently came up with the same idea. ...

45

Total Natural Gas Gross Withdrawals (Summary)  

Gasoline and Diesel Fuel Update (EIA)

Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to...

46

Consumption Behavior in Investment/Consumption Problems  

Science Journals Connector (OSTI)

In this chapter we study the consumption behavior of an agent in the dynamic framework of consumption/investment decision making that allows the presence of a subsistence consumption level and the possibility of ...

E. L. Presman

1997-01-01T23:59:59.000Z

47

Inland out: Midwestern river coal transloaders deal with increased pressures  

SciTech Connect

As greater amounts of US western coal is burned by many eastern and south-eastern power plants located along the Ohio River and its tributaries, Midwestern coal transload facilities are playing an ever growing role in the nation's coal transportation system by moving traffic off clogged rail lines onto barges on inland rivers. The article describes operations by three mid-western ports - American Electric Power's (AEP) Cook Terminal in Metropolis, IL; Kinder-Morgan's Cora Terminal in Cora, IL; and Kinder-Morgan's Grand Rivers Terminal near Paducah, KY. Together these terminals transferred more than 30 m tons onto barges in 2006. 5 figs.

Buchsbaum, L.

2007-06-15T23:59:59.000Z

48

Illinois Natural Gas Gross Withdrawals from Coalbed Wells (Million...  

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

data. Release Date: 12312014 Next Release Date: 1302015 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Illinois Natural Gas Gross Withdrawals and...

49

South Dakota Natural Gas Gross Withdrawals from Coalbed Wells...  

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

data. Release Date: 12312014 Next Release Date: 1302015 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells South Dakota Natural Gas Gross Withdrawals and...

50

Monthly Natural Gas Gross Production Report  

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

Report Report Monthly Natural Gas Gross Production Report Data Files Methodology and Analysis Form and Instructions Monthly Natural Gas Gross Production Report with data for September 2013 Released: December 6, 2013 Next Release: January 7, 2014 The two graphs below show total U.S. and Lower 48 natural gas production on one and the individual State production on the other. U.S. and Lower 48 States Natural Gas Gross Withdrawals Figure Data State Natural Gas Gross Withdrawals Figure Data In September, Lower 48 States production decreased 0.8 percent or 0.58 billion cubic feet per day (Bcf/d). Louisiana had the largest volumetric decrease at 5.3 percent or 0.34 Bcf/d as many surveyed operators reported various maintenance issues and normal well decline. Wyoming also dropped

51

Definition: Gross generation | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Gross generation Jump to: navigation, search Dictionary.png Gross generation The total amount of electric energy produced by generating units (e.g. power plants) and measured at the generating terminal in kilowatt-hours (kWh) or megawatt-hours (MWh).[1] View on Wikipedia Wikipedia Definition Related Terms Electricity generation, Net generation, power References ↑ http://205.254.135.24/tools/glossary/index.cfm?id=G#gross_gen Retri Like Like You like this.Sign Up to see what your friends like. eved from "http://en.openei.org/w/index.php?title=Definition:Gross_generation&oldid=480543" Category: Definitions What links here Related changes Special pages Printable version Permanent link

52

,"Arkansas Natural Gas Gross Withdrawals and Production"  

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

,,"(202) 586-8800",,,"12292014 2:04:59 AM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AR2","N9011AR2","N9012AR2"...

53

,"Alabama Natural Gas Gross Withdrawals and Production"  

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

,,"(202) 586-8800",,,"12292014 2:04:59 AM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AL2","N9011AL2","N9012AL2"...

54

,"Arkansas Natural Gas Gross Withdrawals and Production"  

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

,,"(202) 586-8800",,,"12292014 2:05:00 AM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AR2","N9011AR2","N9012AR2"...

55

,"Arizona Natural Gas Gross Withdrawals and Production"  

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

,,"(202) 586-8800",,,"12292014 2:05:00 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AZ2","N9011AZ2","N9012AZ2"...

56

,"Alaska Natural Gas Gross Withdrawals and Production"  

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

,,"(202) 586-8800",,,"12292014 2:04:58 AM" "Back to Contents","Data 1: Alaska Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AK2","N9011AK2","N9012AK2"...

57

,"New York Natural Gas Gross Withdrawals (MMcf)"  

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

,,"(202) 586-8800",,,"182015 12:49:56 PM" "Back to Contents","Data 1: New York Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NY2" "Date","New York...

58

Generalization Of The Gross-Perry Metrics  

E-Print Network (OSTI)

A class of SO(n+1) symmetric solutions of the (N+n+1)-dimensional Einstein equations is found. It contains 5-dimensional metrics of Gross and Perry and Millward.

M. Jakimowicz; J. Tafel

2008-10-10T23:59:59.000Z

59

Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010 MECS 2010 - Release date: March 19, 2013 Total energy consumption in the manufacturing sector decreased by 17 percent from 2002 to 2010 (Figure 1), according to data from the U.S. Energy Information Administration's (EIA) Manufacturing Energy Consumption Survey (MECS). line chart:air conditioning in U.S. Manufacturing gross output decreased by only 3 percent over the same period. Taken together, these data indicate a significant decline in the amount of energy used per unit of gross manufacturing output. The significant decline in energy intensity reflects both improvements in energy efficiency and changes in

60

Inland Empire Utilities Agency IEUA | Open Energy Information  

Open Energy Info (EERE)

Agency IEUA Agency IEUA Jump to: navigation, search Name Inland Empire Utilities Agency (IEUA) Place Chino, California Sector Renewable Energy, Services, Solar Product Water utility that also offers renewable energy services through methane gas and solar generation. Coordinates 34.012811°, -117.689328° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":34.012811,"lon":-117.689328,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "gross inland consumption" 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

Inland Power and Light Company - Agricultural Energy Efficiency Rebate  

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

Agricultural Energy Efficiency Agricultural Energy Efficiency Rebate Programs Inland Power and Light Company - Agricultural Energy Efficiency Rebate Programs < Back Eligibility Agricultural Savings Category Other Manufacturing Maximum Rebate Custom: 70% or project cost Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Flow controlling type nozzle for impact sprinklers: $4 Rebuilt or New Impact Sprinklers: $3.75 Nozzle for Impact Sprinkler: $1.50 Rotating Type Sprinklers: $4 Gasket: $2.75 Low-Pressure Regulators: $5 Low-Pressure Sprinklers: $4 Multiple Configuration Nozzles: $3 Multi-Trajectory Sprays: $4 Drains for Lines: $1 Hubs for Wheel-Lines: $14.50 "Goose Neck" Elbow for New Drop Tubes: $1.65 Drop Tubes: $3 Center Pivot Base Boot Gasket: $175

62

Manufacturing Consumption of Energy 1994  

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

Manufacturing Manufacturing Sector Overview 1991-1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 xiii Why Do We Investigate Energy Use in the Manufacturing Sector? What Data Do EIA Use To Investigate Energy Use in the Manufacturing Sector? In 1991, output in the manufactur- ing sector fell as the country went into a recession. After 1991, however, output increased as the country slowly came out of the recession. Between 1991 and 1994, manufacturers, especially manu- facturers of durable goods such as steel and glass, experienced strong growth. The industrial production index for durable goods during the period increased by 21 percent. Real gross domestic product for durable goods increased a corre- sponding 16 percent. The growth of nondurables was not as strong-- the production index increased by only 9 percent during this time period.

63

Missouri Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1991-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From Shale...

64

Arizona Natural Gas Gross Withdrawals and Production  

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

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1996-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From Shale...

65

Arkansas Natural Gas Gross Withdrawals and Production  

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

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1991-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From Shale...

66

Oregon Natural Gas Gross Withdrawals and Production  

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

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1996-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1996-2014 From Shale...

67

Utah Natural Gas Gross Withdrawals and Production  

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

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1991-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From Shale...

68

California Natural Gas Gross Withdrawals and Production  

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

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1991-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From Shale...

69

Alaska Natural Gas Gross Withdrawals and Production  

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

History Gross Withdrawals 299,035 277,208 262,287 252,184 194,411 189,411 1991-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From...

70

Alabama Natural Gas Gross Withdrawals and Production  

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

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1991-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From Shale...

71

Kansas Natural Gas Gross Withdrawals and Production  

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

Jun-14 Jul-14 Aug-14 View History Gross Withdrawals NA NA NA NA NA NA 1991-2014 From Gas Wells NA NA NA NA NA NA 1991-2014 From Oil Wells NA NA NA NA NA NA 1991-2014 From Shale...

72

Gross Theory of ?-Decay and Shell Effects  

Science Journals Connector (OSTI)

......nuclear final state measured fr:orn the parent. Although actual decays pro- Gross Theory of f3-Decay and Shell Effects 137 ceed only to the region of negative values of E, we extend our consideration to the positive region. Now, we can regard the whole......

Takayoshi Kondoh; Masami Yamada

1976-03-01T23:59:59.000Z

73

Externality of Consumption  

Science Journals Connector (OSTI)

Externalities of consumption exist if one individual's consumption of a good or service has positive... utility of another person. A positive externality increases ...

2008-01-01T23:59:59.000Z

74

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 . Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings* ............................. 1,488 2,794 1,539 17,685 29,205 17,893 84.1 95.7 86.0 Building Floorspace (Square Feet) 1,001 to 5,000 .............................. 191 290 190 2,146 2,805 1,838 89.1 103.5 103.5 5,001 to 10,000 ............................ 131 231 154 1,972 2,917 1,696 66.2 79.2 91.0 10,001 to 25,000 .......................... 235 351 191 3,213 4,976 3,346 73.1 70.5 57.0

75

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C8. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 2 C8. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings* ............................... 436 1,064 309 5,485 12,258 3,393 79.5 86.8 91.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 60 116 36 922 1,207 538 64.9 96.5 67.8 5,001 to 10,000 .............................. 44 103 Q 722 1,387 393 60.5 74.0 Q

76

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for All Buildings, 2003 A. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings ............................... 1,248 2,553 2,721 13,955 32,332 25,371 89.4 79.0 107.3 Principal Building Activity Education ...................................... 63 423 334 808 5,378 3,687 78.3 78.6 90.7 Food Sales ................................... 144 Q Q 765 467 Q 188.5 Q Q

77

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings* ........................... 990 1,761 1,134 1,213 724 10,622 17,335 11,504 15,739 9,584 93.2 101.6 98.5 77.0 75.5 Building Floorspace (Square Feet) 1,001 to 5,000 ............................ 143 187 90 170 95 1,313 1,709 1,010 1,915 975 108.7 109.6 88.8 89.0 97.9 5,001 to 10,000 .......................... 110 137 91 156 69 1,248 1,725 1,077 2,024 959 88.1 79.3 84.6 77.1 71.7

78

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for Non-Mall Buildings, 2003 . Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings* ............................. 1,188 2,208 2,425 13,374 29,260 22,149 88.8 75.5 109.5 Principal Building Activity Education ...................................... 63 423 334 808 5,378 3,687 78.3 78.6 90.7

79

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 3 . Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for Non-Mall Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings* ............................... 575 381 530 7,837 3,675 7,635 73.4 103.8 69.4 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 87 44 64 788 464 871 110.9 94.7 73.0 5,001 to 10,000 .............................. 60 36 76 879 418 820 68.2 86.7 92.9 10,001 to 25,000 ............................ 53 76 73 1,329 831 1,256 40.2 91.7 58.4

80

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Table C8A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 2 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings ................................ 456 1,241 340 5,680 13,999 3,719 80.2 88.7 91.4 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 60 123 37 922 1,283 547 64.9 96.2 67.6 5,001 to 10,000 .............................. 45 111 27 738 1,468 420 61.6 75.4 63.2

Note: This page contains sample records for the topic "gross inland consumption" 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

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 . Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings* ............................. 1,271 1,690 1,948 911 12,905 17,080 23,489 11,310 98.5 98.9 82.9 80.6 Building Floorspace (Square Feet) 1,001 to 5,000 .............................. 118 206 240 108 1,025 1,895 2,533 1,336 115.1 108.5 94.9 80.6 5,001 to 10,000 ............................ 102 117 185 112 1,123 1,565 2,658 1,239 90.7 74.7 69.5 90.8

82

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings ................................ 684 446 617 9,022 4,207 8,613 75.8 106.1 71.6 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 87 44 64 788 466 871 110.9 94.8 73.0 5,001 to 10,000 .............................. 67 39 84 957 465 878 69.7 84.8 95.1 10,001 to 25,000 ............................ 77 91 89 1,555 933 1,429 49.4 97.2 62.4

83

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North Central New England Middle Atlantic East North Central All Buildings ................................ 345 1,052 1,343 3,452 10,543 12,424 99.8 99.7 108.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 37 86 147 383 676 986 95.9 127.9 148.9 5,001 to 10,000 .............................. 39 68 83 369 800 939 106.0 85.4 88.2 10,001 to 25,000 ............................ Q 121 187 674 1,448 2,113 Q 83.4 88.4

84

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings ............................... 1,522 3,228 1,772 18,031 33,384 20,243 84.4 96.7 87.6 Building Floorspace (Square Feet) 1,001 to 5,000 .............................. 193 300 193 2,168 2,904 1,850 89.0 103.2 104.2 5,001 to 10,000 ............................ 134 263 165 2,032 3,217 1,784 66.0 81.9 92.5 10,001 to 25,000 .......................... 241 432 226 3,273 5,679 3,707 73.6 76.1 60.9

85

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet) Energy Intensity for Sum of Major Fuels (thousand Btu/ square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings ............................ 1,086 1,929 1,243 1,386 879 11,529 18,808 12,503 17,630 11,189 94.2 102.6 99.4 78.6 78.6 Building Floorspace (Square Feet) 1,001 to 5,000 ............................ 143 187 90 170 95 1,313 1,709 1,010 1,915 975 108.7 109.6 88.8 89.0 97.9 5,001 to 10,000 .......................... 110 137 91 156 69 1,248 1,725 1,077 2,024 959 88.1 79.3 84.6 77.1 71.7

86

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) All Buildings ................................ 4,859 71,658 14.7 6,523 1,342 91.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,586 6,922 2.7 685 265 99.0 5,001 to 10,000 .............................. 948 7,033 7.4 563 594 80.0 10,001 to 25,000 ............................ 810 12,659 15.6 899 1,110 71.0 25,001 to 50,000 ............................ 261 9,382 36.0 742 2,843 79.0

87

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 C3. Consumption and Gross Energy Intensity for Sum of Major Fuels for Non-Mall Buildings, 2003 All Buildings* Sum of Major Fuel Consumption Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) All Buildings* ............................... 4,645 64,783 13.9 5,820 1,253 89.8 79.9 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,552 6,789 2.7 672 263 98.9 67.6 5,001 to 10,000 .............................. 889 6,585 7.4 516 580 78.3 68.7 10,001 to 25,000 ............................ 738 11,535 15.6 776 1,052 67.3 72.0 25,001 to 50,000 ............................ 241 8,668 35.9 673 2,790 77.6 75.8

88

On-Site Recreation Surveys and Selection Effects: Valuing Open Access Recreation on Inland Waterways  

Science Journals Connector (OSTI)

Inland waterways embrace both commercial and public good types of recreational facility. Commercial recreation extracts some form of payment, for example ... a permit. However, for other types of recreation, such...

Ken Willis; Guy Garrod

1992-01-01T23:59:59.000Z

89

Greenhouse Gas Emissions Driven by the Transportation of Goods Associated with French Consumption  

Science Journals Connector (OSTI)

By product, transport of coal and coke and intermediate goods make the largest contribution to overall freight transport emissions associated with French household consumption. ... Finally, improving rail and inland water transportation infrastructure between northern European countries and France also serves the purpose of improving trade-relations and economic efficiency within Europe. ... per capita footprints were 1 ton CO2 equiv./yr in African countries to ?30ton CO2 equiv./yr in Luxembourg and the USA. ...

Troy R. Hawkins; Sébastien M. R. Dente

2010-10-01T23:59:59.000Z

90

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

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

Consumption Consumption Electricity Consumption EIA Electricity Consumption Estimates (million kWh) National Petroleum Council Assumption: The definition of electricity con- sumption and sales used in the NPC 1999 study is the equivalent ofwhat EIA calls "sales by utilities" plus "retail wheeling by power marketers." This A nn u al Gro wth total could also be called "sales through the distribution grid," 2o 99 99 to Sales by Utilities -012% #N/A Two other categories of electricity consumption tracked by EIA cover on site Retail Wheeling Sales by generation for host use. The first, "nonutility onsite direct use," covers the Power Marketen 212.25% #N/A traditional generation/cogeneration facilities owned by industrial or large All Sales Through Distribution

91

Population, Consumption & the Environment  

E-Print Network (OSTI)

12/11/2009 1 Population, Consumption & the Environment Alex de Sherbinin Center for International of carbon in 2001 · The ecological footprint, a composite measure of consumption measured in hectares kind of consumption is bad for the environment? 2. How are population dynamics and consumption linked

Columbia University

92

Louisiana Natural Gas Gross Withdrawals Total Offshore (Million...  

Annual Energy Outlook 2012 (EIA)

Gross Withdrawals Total Offshore (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

93

US--State Offshore Natural Gas Gross Withdrawals (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals (Million Cubic Feet) US--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

94

Alabama--State Offshore Natural Gas Gross Withdrawals (Million...  

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

Gross Withdrawals (Million Cubic Feet) Alabama--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

95

Federal Offshore--Alabama Natural Gas Gross Withdrawals (Million...  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals (Million Cubic Feet) Federal Offshore--Alabama Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

96

California--onshore Natural Gas Gross Withdrawals from Shale...  

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

onshore Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) California--onshore Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1...

97

The role of natural gas consumption and trade in Tunisia's output  

Science Journals Connector (OSTI)

Abstract This paper examines the impact of natural gas consumption, real gross fixed capital formation and trade on the real GDP in the case of Tunisia over the period 1980–2010. We use an Autoregressive Distributed Lag (ARDL) bounds testing approach to test for cointegration between the variables. The Toda–Yamamoto approach is then used to test for causality. Our findings indicate the existence of a long-term relationship between the variables. Natural gas consumption, real gross fixed capital formation and trade add in economic growth. Natural gas consumption, real gross fixed capital formation and real trade cause real GDP in Tunisia. These findings open up new insights for policymakers to formulate a comprehensive energy policy to sustain economic growth in the long-term.

Sahbi Farhani; Muhammad Shahbaz; Mohamed Arouri; Frédéric Teulon

2014-01-01T23:59:59.000Z

98

ORNL Trusted Corridors Project: Watts Bar Dam Inland Waterway Project  

SciTech Connect

Radiation has existed everywhere in the environment since the Earth's formation - in rocks, soil, water, and plants. The mining and processing of naturally occurring radioactive materials for use in medicine, power generation, consumer products, and industry inevitably generate emissions and waste. Radiological measuring devices have been used by industry for years to measure for radiation in undesired locations or simply identify radioactive materials. Since the terrorist attacks on the United States on 9-11-01 these radiation measuring devices have proliferated in many places in our nation's commerce system. DOE, TVA, the Army Corps and ORNL collaborated to test the usefulness of these devices in our nation's waterway system on this project. The purpose of the Watts Bar Dam ORNL Trusted Corridors project was to investigate the security, safety and enforcement needs of local, state and federal government entities for state-of-the-art sensor monitoring in regards to illegal cargo including utilization of the existing infrastructure. TVA's inland waterways lock system is a recognized and accepted infrastructure by the commercial carrier industry. Safety Monitoring activities included tow boat operators, commercial barges and vessels, recreational watercraft and their cargo, identification of unsafe vessels and carriers, and, monitoring of domestic and foreign commercial vessels and cargo identification. Safety Enforcement activities included cargo safety, tracking, identification of hazardous materials, waterway safety regulations, and hazardous materials regulations. Homeland Security and Law Enforcement Applications included Radiological Dispersive Devices (RDD) identification, identification of unsafe or illicit transport of hazardous materials including chemicals and radiological materials, and screening for shipments of illicit drugs. In the Fall of 2005 the SensorNet funding for the project expired. After several unsuccessful attempts to find a Federal sponsor to continue with the project, the Watts Bar Dam Project was canceled and the Exploranium radiation monitors were removed from the doors of Watts Bar Dam in early 2006. The DHS Domestic Nuclear Detection Office decided to proceed with a Pilot building on the ORNL work performed at the TN and SC weigh stations in the highway sector of the Trusted Corridors project and eventually expanded it to other southern states under the name of Southeastern Corridor Pilot Project (SETCP). Many of the Phase I goals were achieved however real-world test data of private watercraft and barges was never obtained.

Walker, Randy M [ORNL; Gross, Ian G [ORNL; Smith, Cyrus M [ORNL; Hill, David E [ORNL

2011-11-01T23:59:59.000Z

99

" Column: Energy-Consumption Ratios;"  

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

" Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per...

100

CSV File Documentation: Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption The State Energy Data System (SEDS) comma-separated value (CSV) files contain consumption estimates shown in the tables located on the SEDS website. There are four files that contain estimates for all states and years. Consumption in Physical Units contains the consumption estimates in physical units for all states; Consumption in Btu contains the consumption estimates in billion British thermal units (Btu) for all states. There are two data files for thermal conversion factors: the CSV file contains all of the conversion factors used to convert data between physical units and Btu for all states and the United States, and the Excel file shows the state-level conversion factors for coal and natural gas in six Excel spreadsheets. Zip files are also available for the large data files. In addition, there is a CSV file for each state, named

Note: This page contains sample records for the topic "gross inland consumption" 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

Robust electricity consumption modeling of Turkey using Singular Value Decomposition  

Science Journals Connector (OSTI)

Abstract Multivariable regression method is used to model Turkey’s electricity consumption through a nonlinear relationship. Electricity consumption is modeled as a function of four demographic and economic indicators such as, population, gross domestic product per capita, imports and exports. The second order model includes 15 coefficients for bias, first degree terms and second degree terms. Data preprocessing is applied to transform all variables to have zero mean and percent relative variance. Singular Value Decomposition is applied to reduce the dimensionality of the problem and to provide robustness to the estimations. Variance and covariance information in the data set is used to determine the number of important dimensions in the data. Electricity consumption of Turkey is modeled using annual data from 1970 to 2011. The results show that electricity consumption can be robustly modeled using Singular Value Decomposition.

Kadir Kavaklioglu

2014-01-01T23:59:59.000Z

102

Inland Northwest Regional High School Science Bowl | U.S. DOE Office of  

Office of Science (SC) Website

Inland Northwest Regional Inland Northwest Regional High School Science Bowl National Science Bowl® (NSB) NSB Home About High School High School Students High School Coaches High School Regionals High School Rules, Forms, and Resources Middle School Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: National.Science.Bowl@science.doe.gov Washington Regions Inland Northwest Regional High School Science Bowl Print Text Size: A A A RSS Feeds FeedbackShare Page Regional Coordinator Information Name: Kaye Kamp Email: kkamp@whitworth.edu Regional Event Information Date: February 8, 2014 Maximum Number of Teams: 42

103

Inland Northwest Regional Middle School Science Bowl | U.S. DOE Office of  

Office of Science (SC) Website

Regions » Inland Northwest Regions » Inland Northwest Regional Middle School Science Bowl National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: National.Science.Bowl@science.doe.gov Washington Regions Inland Northwest Regional Middle School Science Bowl Print Text Size: A A A RSS Feeds FeedbackShare Page Regional Coordinator Information Name: Kaye Kamp Email: kkamp@whitworth.edu Regional Event Information Date: Saturday, March 1, 2014

104

Application of advanced diesel technology to inland waterway towboats. variable timing, electronic fuel injection. Final report, September 1985-January 1989  

SciTech Connect

This report represents the test and evaluation of advanced diesel technology components on the DDC Series 149 Marine engine. The tests were conducted on an inland-waterways towboat and consist of over 20,000 engine hours of operation during the testing. The Detroit Diesel Series 16V-149 engine rated at 900 SHP was tested aboard the M/V ESCATAWPA owned and operated by Warrior and Gulf Navigation Company. Both port and starboard engines were instrumented to measure engine operating parameters, propeller-shaft torque, and fuel consumption. The data were collected by a computer-based data-acquisition system and written to floppy disc for analysis. The tasks included: (1) baseline evaluation of naturally-aspirated (NA) engines; (2) upgrade both engines to turbocharged intercooled and blower bypassed (TIB) configuration and measure performance; (3) upgrade port engine with Detroit Diesel electronic control (DDEC) and measure performance; (4) change port engine to high-torque rise governor setting and measure performance; (5) upgrade starboard engine with DDEC.

Rowland, D.P.

1989-03-01T23:59:59.000Z

105

Solar Energy Gross Receipts Tax Deduction | Department of Energy  

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

Energy Gross Receipts Tax Deduction Energy Gross Receipts Tax Deduction Solar Energy Gross Receipts Tax Deduction < Back Eligibility Commercial Construction Installer/Contractor Residential Retail Supplier Savings Category Heating & Cooling Commercial Heating & Cooling Solar Heating Buying & Making Electricity Water Heating Program Info Start Date 7/1/2007 State New Mexico Program Type Sales Tax Incentive Rebate Amount 100% of gross receipts from sale and installation of solar energy systems Provider New Mexico Energy, Minerals and Natural Resources Department New Mexico has a gross receipts tax structure for businesses instead of a sales tax. Businesses are taxed on the gross amount of their business receipts each year before expenses are deducted. Revenue generated by the sale and installation of solar systems used to provide space heat, hot

106

Property:AvgAnnlGrossOpCpcty | Open Energy Information  

Open Energy Info (EERE)

AvgAnnlGrossOpCpcty AvgAnnlGrossOpCpcty Jump to: navigation, search Property Name AvgAnnlGrossOpCpcty Property Type Number Description Avg. Annual Gross Operating Capacity(MW). Pages using the property "AvgAnnlGrossOpCpcty" Showing 6 pages using this property. F Faulkner I Energy Generation Facility + 49.5 + N Navy I Geothermal Facility + 81.7 + Navy II Geothermal Facility + 86 + Neal Hot Springs Geothermal Power Plant + 22 + North Brawley Geothermal Power Plant + 50 + R Raft River Geothermal Facility + 11.5 + Retrieved from "http://en.openei.org/w/index.php?title=Property:AvgAnnlGrossOpCpcty&oldid=400186#SMWResults" Categories: Properties Geothermal Energy Generation Facilities properties What links here Related changes Special pages Printable version

107

,"Federal Offshore--Alabama Natural Gas Gross Withdrawals (MMcf...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Alabama Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","1...

108

,"Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","1302015"...

109

,"US--State Offshore Natural Gas Gross Withdrawals (MMcf)"  

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

State Offshore Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

110

,"Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","1302015"...

111

,"Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","1302015"...

112

,"Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","1302015"...

113

,"California--State Offshore Natural Gas Gross Withdrawals (MMcf...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","1302015"...

114

,"California State Offshore Natural Gas Gross Withdrawals and...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California State Offshore Natural Gas Gross Withdrawals and Production",8,"Annual",2013,"630...

115

,"California Offshore Natural Gas Gross Withdrawals and Production...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Offshore Natural Gas Gross Withdrawals and Production",1,"Annual",2013,"6301977"...

116

,"Federal Offshore California Natural Gas Gross Withdrawals and...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore California Natural Gas Gross Withdrawals and Production",7,"Annual",2013,"6301977" ,"Release...

117

"Table 2. Real Gross Domestic Product Growth Trends, Projected...  

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

Real Gross Domestic Product Growth Trends, Projected vs. Actual" "Projected Real GDP Growth Trend" " cumulative average percent growth in projected real GDP from first year shown...

118

,"New York Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Gross Withdrawals and Production",10,"Annual",2013,"6301967" ,"Release...

119

Oregon Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals NA NA NA NA NA NA 1996-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

120

Oklahoma Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals 174,470 181,468 176,236 184,625 184,458 179,696 1991-2013 From Gas Wells

Note: This page contains sample records for the topic "gross inland consumption" 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

Kansas Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

122

Utah Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

123

Maryland Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

124

Nevada Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

125

Indiana Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

126

Illinois Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

127

Ohio Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

128

Kentucky Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

129

Pennsylvania Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

130

Nebraska Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

131

Tennessee Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

132

Missouri Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

133

Arizona Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals NA NA NA NA NA NA 1996-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

134

Alaska Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals 282,018 261,026 234,298 241,910 231,276 247,528 1991-2013 From Gas Wells

135

Michigan Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

136

Virginia Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

137

Florida Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1996-2013

138

Colorado Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

139

Montana Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

140

Louisiana Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals 203,544 207,497 197,842 207,415 197,786 181,231 1991-2013 From Gas Wells

Note: This page contains sample records for the topic "gross inland consumption" 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

Texas Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals 668,363 704,080 673,815 708,526 704,973 680,075 1991-2013 From Gas Wells

142

Mississippi Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

143

California Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

144

Alabama Natural Gas Gross Withdrawals and Production  

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

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

145

Modeling energy consumption of residential furnaces and boilers in U.S. homes  

E-Print Network (OSTI)

ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . .28 ENERGY CONSUMPTION

Lutz, James; Dunham-Whitehead, Camilla; Lekov, Alex; McMahon, James

2004-01-01T23:59:59.000Z

146

consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. Source National Renewable Energy Laboratory Date Released August 28th, 2012 (2 years ago) Date Updated Unknown Keywords coal consumption csp factors geothermal PV renewable energy technologies Water wind withdrawal Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Operational water consumption and withdrawal factors for electricity generating technologies (xlsx, 32.3 KiB)

147

Reduces electric energy consumption  

E-Print Network (OSTI)

consumption · Reduces nonhazardous solid waste and wastewater generation · Potential annual savings, and recycling. Alcoa provides the packaging, automotive, aerospace, and construction markets with a variety

148

Transportation Energy Consumption Surveys  

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

Energy Consumption (RTECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses...

149

Solar Energy in Inland Southern California: The Future is Now The University of California, Riverside  

E-Print Network (OSTI)

Agenda Solar Energy in Inland Southern California: The Future is Now The University of California Southern California Research Initiative for Solar Energy February 6th 2014, 7:30 am - 6:00 pm and the general public to learn about the state of solar energy by discussing the latest technology, public policy

California at Riverside, University of

150

Solar Energy in Inland Southern California: The Future Is Now Feb. 6, 2014  

E-Print Network (OSTI)

Solar Energy in Inland Southern California: The Future Is Now Feb. 6, 2014 This conference to learn about the state of solar energy by discussing the latest technology, public policy and opportunities for incorporating solar energy in their communities, including how the marketplace works, local

California at Riverside, University of

151

Nuclear gene phylogeography reveals the historical legacy of an ancient inland sea on lineages of the  

E-Print Network (OSTI)

a dataset comprised of one mitochondrial and five nuclear loci, we elucidate the major biogeographicNuclear gene phylogeography reveals the historical legacy of an ancient inland sea on lineages of California. In addition, discordant mitochondrial/ nuclear genetic patterns suggest subsequent gene flow from

Grether, Gregory

152

Application of FLake for the prediction of ice thickness for inland waters in the Netherlands  

E-Print Network (OSTI)

Application of FLake for the prediction of ice thickness for inland waters in the Netherlands Cisco in the Netherlands. In cold spells numerous ditches, canals and lakes get frozen and many people go out for ice in the Netherlands. in ice thickness predictions. KNMI issues ice thickness predictions, based on a model of De Bruin

Stoffelen, Ad

153

relatively high population density (much of it living inland) and small  

E-Print Network (OSTI)

relatively high population density (much of it living inland) and small rivers this is an important of filters such as activated carbon. The main problem is one of scale. A city such as Northampton, UK energy intensive drinking water purification technology in such a case would be an expensive undertaking

Darton, Richard

154

Mason Gross School of the Arts Extension Division  

E-Print Network (OSTI)

Mason Gross School of the Arts Extension Division Practice Your Passion! 2012-2013 Now Satellite School See page 7 within! #12;Main Office Mason Gross Extension Division Marryott Music Building 81 George Street New Brunswick, NJ 08901 Phone: 732-932-8618 Fax: 732-932-3140 Email: extension

Goodman, Robert M.

155

Alaska Natural Gas Gross Withdrawals and Production  

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

Monthly Annual Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Gross Withdrawals 3,479,290 3,415,884 3,312,386 3,197,100 3,162,922 3,164,791 1967-2012 From Gas Wells 165,624 150,483 137,639 127,417 112,268 107,873 1967-2012 From Oil Wells 3,313,666 3,265,401 3,174,747 3,069,683 3,050,654 3,056,918 1967-2012 From Coalbed Wells 0 0 0 0 0 0 2002-2012 Repressuring 3,039,347 3,007,418 2,908,828 2,812,701 2,795,732 2,801,763 1967-2012 Vented and Flared 6,458 10,023 6,481 10,173 10,966 11,769 1967-2012 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1996-2012 Marketed Production 433,485 398,442 397,077 374,226 356,225 351,259 1967-2012

156

Model for electric energy consumption in eastern Saudi Arabia  

SciTech Connect

Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five years of data have been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy is determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

Al-Garni, A.Z.; Al-Nassar, Y.N.; Zubair, S.M.; Al-Shehri, A. [King Fahd Univ. of Petroleum and Minerals, Dhahran (Saudi Arabia)

1997-05-01T23:59:59.000Z

157

Future projections for domestic consumption of dual purpose kerosene in Nigeria  

Science Journals Connector (OSTI)

This paper looks at three socio-economic variables in energy consumption framework for energy planning in Nigeria. The consumption of dual purpose kerosene (DPK) was regressed against the real gross domestic product (GDP), commodity's price, and the lagged variable considering a period of 32 years (1970-2001). A statistical model was developed for the local consumption using partial adjustment model with three independent variables. Some statistical tests were carried out which revealed that consumption was significantly related to the three components. Local consumption of DPK was forecast for the period 2001 to 2025 using three different scenarios of the growth rates (the low, the base and the high growth rates) of the independent variables. Expectedly, result shows that consumption is greatest for high GDP/low price and minimum for low GDP/high price scenario.

Adekunle Omolade Adelaja; Sunday Joshua Ojolo

2013-01-01T23:59:59.000Z

158

OpenEI - consumption  

Open Energy Info (EERE)

91/0 en Operational water 91/0 en Operational water consumption and withdrawal factors for electricity generating technologies http://en.openei.org/datasets/node/969 This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions.

License

159

Reduction of Water Consumption  

E-Print Network (OSTI)

Cooling systems using water evaporation to dissipate waste heat, will require one pound of water per 1,000 Btu. To reduce water consumption, a combination of "DRY" and "WET" cooling elements is the only practical answer. This paper reviews...

Adler, J.

160

Fuel Consumption and Emissions  

Science Journals Connector (OSTI)

Calculating fuel consumption and emissions is a typical offline analysis ... simulations or real trajectory data) and the engine speed (as obtained from gear-shift schemes ... as input and is parameterized by veh...

Martin Treiber; Arne Kesting

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gross inland consumption" 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

Spermatophore consumption in a cephalopod  

Science Journals Connector (OSTI)

...Animal behaviour 1001 14 70 Spermatophore consumption in a cephalopod Benjamin J. Wegener...provide evidence of ejaculate and sperm consumption in a cephalopod. Through labelling...combination of female spermatophore consumption and short-term external sperm storage...

2013-01-01T23:59:59.000Z

162

Food consumption trends and drivers  

Science Journals Connector (OSTI)

...original work is properly cited. Food consumption trends and drivers John Kearney...Government policy. A picture of food consumption (availability) trends and projections...largely responsible for these observed consumption trends are the subject of this review...

2010-01-01T23:59:59.000Z

163

Rice consumption in China  

E-Print Network (OSTI)

RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Submitted to the Office of Graduate Studies of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1989 Major Subject: Agricultural... Economics RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Approved as to style and content by: E, We ey F. Peterson (Chair of Committee) James E. Christiansen (Member) Carl Shaf (Member) Daniel I. Padberg (Head of Department) August 1989...

Lan, Jin

2012-06-07T23:59:59.000Z

164

Household Vehicles Energy Consumption 1991  

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

methodology used to estimate these statistics relied on data from the 1990 Residential Energy Consumption Survey (RECS), the 1991 Residential Transportation Energy Consumption...

165

Property:GrossProdCapacity | Open Energy Information  

Open Energy Info (EERE)

GrossProdCapacity GrossProdCapacity Jump to: navigation, search Property Name GrossProdCapacity Property Type Quantity Description Sum of the property AvgAnnlGrossOpCpcty for all Energy Generation Facilities with properties: Sector: Geothermal Energy InGeothermalResourceArea: set to the the variable vName of the Geothermal Resource Area Use this property to express potential electric energy generation, such as Nameplate Capacity. The default unit is megawatts (MW). For spatial capacity, use property Volume. Acceptable units (and their conversions) are: 1 MW,MWe,megawatt,Megawatt,MegaWatt,MEGAWATT,megawatts,Megawatt,MegaWatts,MEGAWATT,MEGAWATTS 1000 kW,kWe,KW,kilowatt,KiloWatt,KILOWATT,kilowatts,KiloWatts,KILOWATT,KILOWATTS 1000000 W,We,watt,watts,Watt,Watts,WATT,WATTS 1000000000 mW,milliwatt,milliwatts,MILLIWATT,MILLIWATTS

166

Fact #564: March 30, 2009 Transportation and the Gross Domestic...  

Energy Savers (EERE)

of the U.S. Gross Domestic Product (GDP) in 2007 is related to transportation. Housing, health care, and food are the only categories with greater shares of the GDP. GDP by...

167

Alabama Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals Total Offshore (Million Cubic Feet) Gross Withdrawals Total Offshore (Million Cubic Feet) Alabama Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 9 13 1990's 19,861 32,603 191,605 218,023 349,380 356,598 361,068 409,091 392,320 376,435 2000's 361,289 200,862 202,002 194,339 165,630 152,902 145,762 134,451 125,502 109,214 2010's 101,487 84,270 87,398 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas Natural Gas Gross Withdrawals Alabama Offshore Natural Gas Gross Withdrawals and Production

168

Office Buildings - Energy Consumption  

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

Energy Consumption Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity, and natural gas consumed by office buildings was consumed by administrative or professional office buildings (Figure 2). Table 4. Energy Consumed by Office Buildings for Major Fuels, 2003 All Buildings Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Total Floorspace (million sq. ft.) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings 4,859 71,658 6,523 3,559 2,100 228 636 All Non-Mall Buildings 4,645 64,783 5,820 3,037 1,928 222 634 All Office Buildings 824 12,208 1,134 719 269 18 128 Type of Office Building

169

The role of information and communication technologies in paper consumption  

Science Journals Connector (OSTI)

Conventionally, paper demand is modelled by using only gross domestic product and the price of paper as explanatory variables. However, one factor affecting the demand of printing and writing papers is presumably the diffusion of information and communication technologies (ICT). In this paper, the regression analysis model and large global scale panel data sets from 1990-2007 are used to analyse the effect of ICT on paper demand for three paper grades: newsprint, office paper and magazine paper. Results show that the internet is a substitute for newsprint and possibly for magazine paper and mobile telephones are complementary and a growing number of personal computers increase office paper consumption.

Maija Hujala

2011-01-01T23:59:59.000Z

170

Quantitative modelling of electricity consumption using computational intelligence aided design  

Science Journals Connector (OSTI)

Abstract High electricity consumption is of concern to the world for a variety of reasons, including its social-economic-environmental coupled impacts on well-being of individuals, social life and the federal energy policies. This paper proposes a quantitative model to examine the long-term relationship between annual electricity consumption and its major macroeconomic variables, including gross domestic product, electricity price, efficiency, economic structure, and carbon dioxide emission, using computational intelligence aided design (CIAD). It develops a firefly algorithm with variable population (FAVP) to obtain the parameters of the electricity consumption model through optimising two proposed trend indices: moving mean of the average precision (mmAP) and moving mean of standard derivation (mmSTD). The model is validated with empirical electricity consumption data in China between 1980 and 2012, based on which the error of approximations between 1980 and 2009 is ±15% and the error of predictions between 2010 and 2012 is [?8%, ?5%]. The main contributions of this research are to develop: (1) a novel quantitative model that can accurately predict the social, economic and environmental coupled impacts on the annual electricity demands; (2) the conceptual CIAD framework; (3) FAVP algorithm; and (4) two new trend indices of mmAP and mmSTD. The findings of this research can assist the decision makers in resolving the conflict between energy consumption growth and carbon emission reduction without dooming the economic prosperity in the long run.

Yi Chen; Guangfeng Zhang; Tongdan Jin; Shaomin Wu; Bei Peng

2014-01-01T23:59:59.000Z

171

Natural Gas Consumption  

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

Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 23,103,793 23,277,008 22,910,078 24,086,797 24,477,425 25,533,448 1949-2012 Alabama 418,512 404,157 454,456 534,779 598,514 666,738 1997-2012 Alaska 369,967 341,888 342,261 333,312 335,458 343,110 1997-2012

172

California--State Offshore Natural Gas Gross Withdrawals (Million Cubic  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) California--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,763 14,963 1980's 14,080 13,929 14,153 13,916 13,844 19,504 18,277 13,030 11,141 9,098 1990's 8,083 7,610 7,242 6,484 7,204 5,904 6,309 7,171 6,883 6,738 2000's 7,808 7,262 7,068 6,866 6,966 6,685 6,809 7,289 7,029 6,052 2010's 5,554 5,163 5,051 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas Natural Gas Gross Withdrawals

173

Data Center Power Consumption  

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

Center Power Consumption Center Power Consumption A new look at a growing problem Fact - Data center power density up 10x in the last 10 years 2.1 kW/rack (1992); 14 kW/rack (2007) Racks are not fully populated due to power/cooling constraints Fact - Increasing processor power Moore's law Fact - Energy cost going up 3 yr. energy cost equivalent to acquisition cost Fact - Iterative power life cycle Takes as much energy to cool computers as it takes to power them. Fact - Over-provisioning Most data centers are over-provisioned with cooling and still have hot spots November 2007 SubZero Engineering An Industry at the Crossroads Conflict between scaling IT demands and energy efficiency Server Efficiency is improving year after year Performance/Watt doubles every 2 years Power Density is Going Up

174

101. Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

1. Natural Gas Consumption 1. Natural Gas Consumption in the United States, 1930-1996 (Million Cubic Feet) Table Year Lease and Plant Fuel Pipeline Fuel Delivered to Consumers Total Consumption Residential Commercial Industrial Vehicle Fuel Electric Utilities Total 1930 ....................... 648,025 NA 295,700 80,707 721,782 NA 120,290 1,218,479 1,866,504 1931 ....................... 509,077 NA 294,406 86,491 593,644 NA 138,343 1,112,884 1,621,961 1932 ....................... 477,562 NA 298,520 87,367 531,831 NA 107,239 1,024,957 1,502,519 1933 ....................... 442,879 NA 283,197 85,577 590,865 NA 102,601 1,062,240 1,505,119 1934 ....................... 502,352 NA 288,236 91,261 703,053 NA 127,896 1,210,446 1,712,798 1935 ....................... 524,926 NA 313,498 100,187 790,563 NA 125,239 1,329,487 1,854,413 1936 ....................... 557,404 NA 343,346

175

Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

E/EIA-0262/2 E/EIA-0262/2 Residential Energy Consumption Survey: 1978-1980 Consumption and Expenditures Part II: Regional Data May 1981 U.S. Department of Energy Energy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Residential and Commercial Data Systems Division -T8-aa * N uojssaooy 'SOS^-m (£03) ao£ 5925 'uofSfAfQ s^onpojj aa^ndmoo - aojAaag T BU T3gN am rcoj? aig^IT^^ '(adBx Q-naugBH) TOO/T8-JQ/30Q 30^703 OQ ' d jo :moaj ajqBfT^A^ 3J^ sjaodaa aAoqe aqa jo 's-TZTOO-eoo-Tgo 'ON ^ois odo 'g^zo-via/aoQ 'TBST Sujpjjng rXaAang uojidmnsuoo XSaaug sSu-ppjprig ON ^oo^s OdO '^/ZOZO-Via/aOQ *086T aunr '6L6I ?sn§ny og aunf ' jo suja^Bd uoj^dmnsuoo :XaAjng uo^^dmnsuoQ XSaaug OS '9$ '6-ieTOO- 00-T90 OdD 'S/ZOZO-Via/aOa C

176

California Natural Gas Gross Withdrawals Total Offshore (Million Cubic  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals Total Offshore (Million Cubic Feet) Gross Withdrawals Total Offshore (Million Cubic Feet) California Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,417 19,929 20,394 1980's 19,980 26,692 31,904 38,084 60,207 84,062 77,355 67,835 60,308 59,889 1990's 58,055 59,465 62,473 58,635 60,765 60,694 73,092 80,516 81,868 84,547 2000's 83,882 78,209 74,884 64,961 61,622 60,773 47,217 52,805 51,931 47,281 2010's 46,755 41,742 32,313 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

177

Alaska Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals Total Offshore (Million Cubic Feet) Gross Withdrawals Total Offshore (Million Cubic Feet) Alaska Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 72,813 71,946 1980's 63,355 71,477 66,852 68,776 68,315 62,454 63,007 69,656 101,440 122,595 1990's 144,064 171,665 216,377 233,198 224,301 113,552 126,051 123,854 133,111 125,841 2000's 263,958 262,937 293,580 322,010 334,125 380,568 354,816 374,204 388,188 357,490 2010's 370,148 364,702 307,306 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

178

Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic  

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

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,417 5,166 5,431 1980's 5,900 12,763 17,751 24,168 46,363 64,558 59,078 54,805 49,167 50,791 1990's 49,972 51,855 55,231 52,150 53,561 54,790 66,784 73,345 74,985 77,809 2000's 76,075 70,947 67,816 58,095 54,655 54,088 40,407 45,516 44,902 41,229 2010's 41,200 36,579 27,262 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

179

Federal Offshore--Louisiana Natural Gas Gross Withdrawals (Million Cubic  

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

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore--Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,838,521 4,101,321 4,262,607 1980's 4,200,273 4,202,553 3,879,918 3,313,354 3,750,641 3,286,091 3,071,900 3,384,442 3,418,949 3,373,680 1990's 3,549,524 3,401,801 3,304,336 3,351,101 3,513,981 3,460,103 3,689,170 3,760,953 3,759,040 3,732,046 2000's 3,671,424 NA NA NA NA NA NA NA NA NA 2010's NA NA 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

180

Louisiana--State Offshore Natural Gas Gross Withdrawals (Million Cubic  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) Louisiana--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 498,876 487,512 1980's 417,312 381,938 366,546 322,588 319,638 256,736 207,265 225,599 214,645 204,005 1990's 182,240 148,429 138,101 157,011 159,513 94,044 192,527 180,848 192,956 164,523 2000's 141,567 153,871 137,192 133,456 129,245 107,584 97,479 72,868 86,198 76,386 2010's 69,836 71,226 73,244 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

Note: This page contains sample records for the topic "gross inland consumption" 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

Gross Energy Cost of Horizontal Treadmill and Track Running  

Science Journals Connector (OSTI)

The gross energy cost of treadmill and track running is re-...2...(ml/kg/min) = 2.209 + 3.163 speed (km/h) for 130 subjects (trained and untrained males and females) and 10 treadmill studies. On the track, wind r...

Dr L. Léger; D. Mercier

1984-07-01T23:59:59.000Z

182

ENERGY CONSUMPTION SURVEY  

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

5 RESIDENTIAL TRANSPORTATION 5 RESIDENTIAL TRANSPORTATION ENERGY CONSUMPTION SURVEY Prepared for: UNITED STATES DEPARTMENT OF ENERGY ENERGY INFORMATION ADMINISTRATION OFFICE OF ENERGY MARKETS AND END USE ENERGY END USE DIVISION RESIDENTIAL AND COMMERCIAL BRANCH WASHINGTON, DC 20585 Prepared by: THE ORKAND CORPORATION 8484 GEORGIA AVENUE SILVER SPRING, MD 20910 October 1986 Contract Number DE-AC01-84EI19658 TABLE OF CONTENTS FRONT MATTER Index to Program Descriptions........................................... vi List of Exhibits ....................................................... viii Acronyms and Abbreviations ............................................. ix SECTION 1: GENERAL INFORMATION ........................................ 1-1 1.1. Summary ....................................................... 1-1

183

Indexes of Consumption and Production  

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

Figure on manufacturing production indexes and purchased energy consumption Figure on manufacturing production indexes and purchased energy consumption Source: Energy Information Administration and Federal Reserve Board. History of Shipments This chart presents indices of 14 years (1980-1994) of historical data of manufacturing production indexes and Purchased (Offsite-Produced) Energy consumption, using 1992 as the base year (1992 = 100). Indexing both energy consumption and production best illustrates the trends in output and consumption. Taken separately, these two indices track the relative growth rates within the specified industry. Taken together, they reveal trends in energy efficiency. For example, a steady increase in output, coupled with a decline in energy consumption, represents energy efficiency gains. Likewise, steadily rising energy consumption with a corresponding decline in output illustrates energy efficiency losses.

184

Manufacturing Consumption of Energy 1991--Combined Consumption and Fuel  

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

< < Welcome to the U.S. Energy Information Administration's Manufacturing Web Site. If you are having trouble, call 202-586-8800 for help. Return to Energy Information Administration Home Page. Home > Energy Users > Manufacturing > Consumption and Fuel Switching Manufacturing Consumption of Energy 1991 (Combined Consumption and Fuel Switching) Overview Full Report Tables & Spreadsheets This report presents national-level estimates about energy use and consumption in the manufacturing sector as well as manufacturers' fuel-switching capability. Contact: Stephanie.battle@eia.doe.gov Stephanie Battle Director, Energy Consumption Division Phone: (202) 586-7237 Fax: (202) 586-0018 URL: http://www.eia.gov/emeu/mecs/mecs91/consumption/mecs1a.html File Last Modified: May 25, 1996

185

Residential Energy Consumption Survey Results: Total Energy Consumption,  

Open Energy Info (EERE)

Survey Results: Total Energy Consumption, Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005) Dataset Summary Description The Residential Energy Consumption Survey (RECS) is a national survey that collects residential energy-related data. The 2005 survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the U.S. Data were obtained from residential energy suppliers for each unit in the sample to produce the Consumption & Expenditures data. The Consumption & Expenditures and Intensities data is divided into two parts: Part 1 provides energy consumption and expenditures by census region, population density, climate zone, type of housing unit, year of construction and ownership status; Part 2 provides the same data according to household size, income category, race and age. The next update to the RECS survey (2009 data) will be available in 2011.

186

Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries  

Science Journals Connector (OSTI)

Abstract This study explores the effect of renewable and non-renewable electricity consumption on economic growth in 18 Latin American countries. To achieve the goal of this study a panel Gross Domestic Product (GDP) model was constructed taking the period 1980–2010 into account. From the Pedroni cointegration test results it was found that renewable electricity consumption, non-renewable electricity consumption, labor, gross fixed capital formation, and total trade are cointegrated. Moreover, the panel Dynamic Ordinary Least Squares (DOLS) test results revealed that all above the mentioned variables have a long run positive effect on GDP growth in the investigated countries. The Vector Error-Correction (VEC) Granger causality model results revealed the existence of feedback causality between the variables. The results of the study indicated that renewable electricity consumption is more significant than non-renewable electricity consumption in promoting economic growth in the investigated countries in the long run and the short run. Based on the results of this study, it is recommended that the investigated countries should increase their investment on renewable energy projects to increase the role of electricity consumption from renewable sources. In addition, it is essential that these countries should reduce their non-renewable electricity consumption by increasing their energy efficiency and implementing energy saving projects. By applying these recommendations, these countries would be able to mitigate global warming and reduce their dependency on fossil fuel to increase their energy security.

Usama Al-mulali; Hassan Gholipour Fereidouni; Janice Y.M. Lee

2014-01-01T23:59:59.000Z

187

Gross Receipts Tax Exemption for Sales of Wind and Solar Systems to Government Entities  

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

New Mexico has a gross receipts tax structure for businesses instead of a sales tax. Businesses are taxed on the gross amount of their business receipts each year before expenses are deducted. ...

188

U.S. Natural Gas Gross Withdrawals Offshore (Million Cubic Feet...  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals Offshore (Million Cubic Feet) U.S. Natural Gas Gross Withdrawals Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

189

FUMIGATION, GROSS NITROGEN TRANSFORMATIONS, N-15, NITRATE, RATES, SOIL  

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

FUMIGATION, GROSS NITROGEN TRANSFORMATIONS, N-15, FUMIGATION, GROSS NITROGEN TRANSFORMATIONS, N-15, NITRATE, RATES, SOIL 1909 Pushnik, J.C., R.S. Demaree, J.L.J. Houpis, W.B. Flory, S.M. Bauer, and P.D. Anderson. 1995. The effect of elevated carbon dioxide on a Sierra-Nevadan dominant species: Pinus ponderosa. Journal of Biogeography 22(2-3):249-254. The impact of increasing atmospheric CO2 has not been fully evaluated on western coniferous forest species. Two year old seedlings of Pinus ponderosa were grown in environmentally controlled chambers under increased CO2 conditions (525 mu L L(-1) and 700 mu L L(-1)) for 6 months. These trees exhibited morphological, physiological and biochemical alterations when compared to our controls (350 mu L L(- 1)). Analysis of whole plant biomass distribution has shown no

190

Local well-posedness for Gross-Pitaevskii hierarchies  

E-Print Network (OSTI)

We consider the Cauchy problem for the Gross-Pitaevskii infinite linear hierarchy of equations on $\\mathbb{R}^n.$ By introducing a (F)-norm in certain Sobolev type spaces of sequences of marginal density matrices, we establish local existence, uniqueness and stability of solutions. Explicit space-time type estimates for the solutions are obtained as well. In particular, this (F)-norm is compatible with the usual Sobolev space norm whenever the initial data is factorized.

Zeqian Chen

2010-11-21T23:59:59.000Z

191

Texas Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals Total Offshore (Million Cubic Feet) Gross Withdrawals Total Offshore (Million Cubic Feet) Texas Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88,258 418,474 760,566 1980's 949,177 1,010,772 1,120,830 992,041 1,021,260 942,413 1,169,038 1,330,604 1,376,093 1,457,841 1990's 1,555,568 1,494,494 1,411,147 1,355,333 1,392,727 1,346,674 1,401,753 1,351,067 1,241,264 1,206,045 2000's 1,177,257 53,649 57,063 53,569 44,946 36,932 24,785 29,229 46,786 37,811 2010's 28,574 23,791 16,506 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014

192

Energy Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

193

Manufacturing Consumption of Energy 1994  

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

Detailed Tables 28 Energy Information AdministrationManufacturing Consumption of Energy 1994 1. In previous MECS, the term "primary energy" was used to denote the "first use" of...

194

Manufacturing Consumption of Energy 1994  

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

1 Energy Information AdministrationManufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas...

195

Household Vehicles Energy Consumption 1991  

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

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

196

World energy consumption  

SciTech Connect

Historical and projected world energy consumption information is displayed. The information is presented by region and fuel type, and includes a world total. Measurements are in quadrillion Btu. Sources of the information contained in the table are: (1) history--Energy Information Administration (EIA), International Energy Annual 1992, DOE/EIA-0219(92); (2) projections--EIA, World Energy Projections System, 1994. Country amounts include an adjustment to account for electricity trade. Regions or country groups are shown as follows: (1) Organization for Economic Cooperation and Development (OECD), US (not including US territories), which are included in other (ECD), Canada, Japan, OECD Europe, United Kingdom, France, Germany, Italy, Netherlands, other Europe, and other OECD; (2) Eurasia--China, former Soviet Union, eastern Europe; (3) rest of world--Organization of Petroleum Exporting Countries (OPEC) and other countries not included in any other group. Fuel types include oil, natural gas, coal, nuclear, and other. Other includes hydroelectricity, geothermal, solar, biomass, wind, and other renewable sources.

NONE

1995-12-01T23:59:59.000Z

197

Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight  

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

1: May 3, 2010 1: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight to someone by E-mail Share Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Facebook Tweet about Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Twitter Bookmark Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Google Bookmark Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Delicious Rank Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Digg Find More places to share Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on AddThis.com...

198

Electricity Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA Electricity Electricity Consumption world Data text/csv icon total_electricity_net_consumption_1980_2009billion_kwh.csv (csv, 50.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

199

Biofuels Consumption | OpenEI  

Open Energy Info (EERE)

Biofuels Consumption Biofuels Consumption Dataset Summary Description Total annual biofuels consumption and production data by country was compiled by the Energy Information Administration (EIA). Data is presented as thousand barrels per day. Source EIA Date Released Unknown Date Updated Unknown Keywords Biofuels Biofuels Consumption EIA world Data text/csv icon total_biofuels_production_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) text/csv icon total_biofuels_consumption_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2010 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote

200

Coal consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description Total annual coal consumption by country, 1980 to 2009 (available as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords coal Coal consumption EIA world Data text/csv icon total_coal_consumption_1980_2009quadrillion_btu.csv (csv, 38.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

Note: This page contains sample records for the topic "gross inland consumption" 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

Manufacturing Consumption of Energy 1994  

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

(MECS) > MECS 1994 Combined Consumption and Fuel Switching (MECS) > MECS 1994 Combined Consumption and Fuel Switching Manufacturing Energy Consumption Survey 1994 (Combined Consumption and Fuel Switching) Manufacturing Energy Consumption Logo Full Report - (file size 5.4 MB) pages:531 Selected Sections (PDF format) Contents (file size 56 kilobytes, 10 pages). Overview (file size 597 kilobytes, 11 pages). Chapters 1-3 (file size 265 kilobytes, 9 pages). Chapter 4 (file size 1,070 kilobytes, 15 pages). Appendix A - Detailed Tables Tables A1 - A8 (file size 1,031 kilobytes, 139 pages). Tables A9 - A23 (file size 746 kilobytes, 119 pages). Tables A24 - A29 (file size 485 kilobytes, 84 pages). Tables A30 - A44 (file size 338 kilobytes, 39 pages). Appendix B (file size 194 kilobytes, 24 pages). Appendix C (file size 116 kilobytes, 16 pages).

202

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

General information about EIA data on energy consumption may be obtained from Wray Smith, Director, Office of Energy Markets and End Use (202- 252-1617); Lynda T. Carlson,...

203

Charles R. Goldman, Michio Kumagai, Richard D. Robarts: Climatic change and global warming of inland waters. Impacts and mitigation for ecosystems and societies  

Science Journals Connector (OSTI)

This book is about changes that have occurred and are likely to happen in surface inland waters, both fresh and saline, as warming proceeds. The book is organised in three ... chapters describe and analyse the ef...

Luc Hens

2014-08-01T23:59:59.000Z

204

Nuclear power plants and biocultural renaissance: A case study of Iwaishima Island in the Seto Inland Sea of Japan  

Science Journals Connector (OSTI)

For three decades, Iwaishima Islanders have rejected the proposal for a nuclear power plant to be built 3.5 km from their home. Located in the Suo-nada Inland Sea, which has miraculously escaped contamination, dredging of sand, or reclamation that damaged the Seto Inland Sea after WWII, the islanders maintain their livelihood by marketing fresh fish and organic produce. Based on studies on the biodiversity and recent interviews, some underlying reasons for their unyielding struggle have come to light: (1) some worked in Fukushima Daiichi NPP, and knew its damaging effects on human health and the bioregion; (2) islanders exchange goods and services, with minimal dependence on cash; and (3) they have revived the 10-century-old Kanmai (divine dance) festival held every 4 years.

Yuji Ankei

2012-01-01T23:59:59.000Z

205

Health-hazard evaluation report HETA 82-309-1630, Inland Steel, East Chicago, Indiana  

SciTech Connect

Environmental and breathing-zone samples were analyzed for polynuclear aromatic hydrocarbons (PAHs) and coal-tar-pitch volatiles at the Inland Steel Company, East Chicago, Indiana in November, 1982 and September, 1984. The evaluation was requested because of concern about employee exposures during maintenance of the coke battery precipitator at the number 2 facility. Four former employees were interviewed. The cyclohexane soluble fraction of coal-tar-pitch volatiles ranged from 0.232 to 0.668 mg/m/sup 3/. The OSHA standard is 0.15mg/m/sup 3/. Naphthalene concentrations up to 0.107mg/m/sup 3/ were detected. The OSHA standard for naphthalene is 50mg/m/sup 3/. Other PAHs detected included phenanthrene, fluorene and acenaphthene. The employees reported experiencing local skin, eye, ear, nose, and throat irritation while working on the coke battery precipitator in the past. Personal protective measures such as wearing safety boots, barrier creams on exposed skin surfaces, and showering and changing clothes before leaving the facility were implemented. The authors conclude that a potential health hazard from PAHs and coal-tar-pitch volatiles is being adequately addressed by the facility. Recommendations include continuing the present personal protective measures and providing emergency rescue training.

Almaguer, D.; Orris, P.

1985-10-01T23:59:59.000Z

206

US ENC IL Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

207

Fuel Consumption | ornl.gov  

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

Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Road Load Equation Jan 15 2014 11:30 AM - 12:30 PM Glen E. Johnson Tennessee Tech University, Cookeville Energy and Transportation Science Division Seminar National Transportation Research Center, Room C-04 CONTACT : Email: Andreas Malikopoulos Phone:865.382.7827 Add to Calendar SHARE Ambitious goals have been set to reduce fuel consumption and CO2 emissions over the next generation. Starting from first principles, we will derive relations to connect fuel consumption and carbon dioxide emissions to a vehicle's road load equation. The model suggests approaches to facilitate achievement of future fuel and emissions targets. About the speaker: Dr. Johnson is a 1973 Mechanical Engineering graduate of Worcester

208

Household Vehicles Energy Consumption 1991  

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

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

209

US ENC IL Site Consumption  

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

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

210

US ENC MI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

211

US ENC MI Site Consumption  

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

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

212

Manufacturing Consumption of Energy 1994  

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

energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. 1 The manufacturing sector is composed of establishments classified in Standard Industrial Classification 20 through 39 of the U.S. economy as defined 2 by the Office of Management and Budget. The manufacturing sector is a part of the industrial sector, which also includes mining; construction; and agriculture, forestry, and fishing. The EIA also conducts energy consumption surveys in the residential, commercial buildings, and residential transportation sectors: the Residential Energy 3 Consumption Survey (RECS); the Commercial Buildings Energy Consumption Survey (CBECS); and, until recently, the Residential Transportation Energy Consumption Survey (RTECS).

213

Energy Consumption in Access Networks  

Science Journals Connector (OSTI)

We present a comparison of energy consumption of access networks. We consider passive optical networks, fiber to the node, point-to-point optical systems and WiMAX. Optical access...

Baliga, Jayant; Ayre, Robert; Sorin, Wayne V; Hinton, Kerry; Tucker, Rodney S

214

The Wealth-Consumption Ratio  

E-Print Network (OSTI)

We derive new estimates of total wealth, the returns on total wealth, and the wealth effect on consumption. We estimate the prices of aggregate risk from bond yields and stock returns using a no-arbitrage model. Using these ...

Verdelhan, Adrien Frederic

215

Progressive consumption : strategic sustainable excess  

E-Print Network (OSTI)

Trends in the marketplace show that urban dwellers are increasingly supporting locally produced foods. This thesis argues for an architecture that responds to our cultures consumptive behaviors. Addressing the effects of ...

Bonham, Daniel J. (Daniel Joseph MacLeod)

2007-01-01T23:59:59.000Z

216

Energy consumption of building 39  

E-Print Network (OSTI)

The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and ...

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

217

Energy Consumption Profile for Energy  

E-Print Network (OSTI)

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

218

Manufacturing Consumption of Energy 1994  

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

S Y M n i 1 y 2 i (W i ) (W i 1) , Energy Information Administration, Manufacturing Energy Consumption Survey: Methodological Report 1985. Although this report describes 44...

219

Asset Pricing with Countercyclical Household Consumption Risk  

E-Print Network (OSTI)

1 Asset Pricing with Countercyclical Household Consumption Risk George M. Constantinides that shocks to household consumption growth are negatively skewed, persistent, and countercyclical and play that drives the conditional cross-sectional moments of household consumption growth. The estimated model

Sadeh, Norman M.

220

Optimal consumption strategies under model uncertainty  

E-Print Network (OSTI)

Optimal consumption strategies under model uncertainty Christian Burgert, Ludger R of finding optimal consumption strategies in an incomplete semimartingale market model under model uncertainty. The quality of a consumption strategy is measured by not only one probability measure

Rüschendorf, Ludger

Note: This page contains sample records for the topic "gross inland consumption" 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

OpenEI - Electricity Consumption  

Open Energy Info (EERE)

Annual Electricity Annual Electricity Consumption (1980 - 2009) http://en.openei.org/datasets/node/877 Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). License

Type of License:  Other (please specify below)
Source of data

222

Manufacturing consumption of energy 1991  

SciTech Connect

This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

Not Available

1994-12-01T23:59:59.000Z

223

Commercial Buildings Energy Consumption and Expenditures 1992...  

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

1992 Consumption and Expenditures 1992 Consumption & Expenditures Overview Full Report Tables National estimates of electricity, natural gas, fuel oil, and district heat...

224

Demonstrating Fuel Consumption and Emissions Reductions with...  

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

Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control Demonstrating Fuel Consumption and Emissions Reductions with Next Generation...

225

New York: Weatherizing Westbeth Reduces Energy Consumption |...  

Energy Savers (EERE)

York: Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and...

226

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

227

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

228

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

229

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

230

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace...

231

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

232

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

233

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of...

234

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

235

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of...

236

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

237

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of...

238

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

239

Energy Information Administration - Transportation Energy Consumption...  

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

Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the...

240

Compilation and Application of Japanese Inventories for Energy Consumption and Air Pollutant Emissions Using Input?Output Tables  

Science Journals Connector (OSTI)

Graduate School of Energy Science, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan ... Next, for each of the 400 sectors (the 399 sectors of the consolidated Input?Output Table plus the “consumption expenditure of households” sector, which is one of the final demand sectors), various statistics and source materials were used to estimate gross consumptions, expressed as a physical amount for each sector, of 6 coal-based fuels, 12 petroleum-based fuels, 3 natural gas-based fuels, and 5 other fuels. ... LPG. LPG for automobile and household use is more expensive than that used by industry, because of its higher tax rate and less efficient mode of supply. ...

Keisuke Nansai; Yuichi Moriguchi; Susumu Tohno

2003-04-04T23:59:59.000Z

Note: This page contains sample records for the topic "gross inland consumption" 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

The Impact of Using Derived Fuel Consumption Maps to Predict...  

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

The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the...

242

Spatial confinement and thermal deconfinement in the Gross-Neveu model  

SciTech Connect

We discuss the occurrence of spatial confinement and thermal deconfinement in the massive, D-dimensional, Gross-Neveu model with compactified spatial dimensions.

Malbouisson, J. M. C. [Instituto de Fisica, Universidade Federal da Bahia, 40210-340, Salvador, BA (Brazil); Khanna, F. C. [Theoretical Physics Institute, University of Alberta, Edmonton, Alberta T6G 2J1 (Canada); Malbouisson, A. P. C. [Centro Brasileiro de Pesquisas Fisicas/MCT, 22290-180, Rio de Janeiro, RJ (Brazil); Santana, A. E. [Instituto de Fisica, Universidade de Brasilia, 70910-900, Brasilia, DF (Brazil)

2007-06-19T23:59:59.000Z

243

APPLICATION OF MICROECONOMIC METRICS IN COMPETITIVE ELECTRICITY Pedro Correia and George Gross  

E-Print Network (OSTI)

APPLICATION OF MICROECONOMIC METRICS IN COMPETITIVE ELECTRICITY MARKETS Pedro Correia and George Gross Department of Electrical and Computer Engineering University of Illinois at Urbana

Gross, George

244

SPPI ORIGINAL PAPER October 11, 2011 GROSS ERRORS IN THE IPCC-AR4  

E-Print Network (OSTI)

SPPI ORIGINAL PAPER October 11, 2011 GROSS ERRORS IN THE IPCC-AR4 REPORT REGARDING PAST & FUTURE FIGURE AND GEORGE WILL QUOTE.....................

Gray, William

245

South Dakota Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

246

New Mexico Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals 114,592 111,779 113,921 114,129 109,438 114,219 1991-2013 From Gas Wells

247

West Virginia Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

248

Gulf of Mexico Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals 114,382 103,384 110,472 103,769 106,596 102,840 1997-2013 From Gas Wells

249

New York Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Alaska Federal Offshore Gulf of Mexico Louisiana New Mexico Oklahoma Texas Wyoming Other States Total Alabama Arizona Arkansas California Colorado Florida Illinois Indiana Kansas Kentucky Maryland Michigan Mississippi Missouri Montana Nebraska Nevada New York North Dakota Ohio Oregon Pennsylvania South Dakota Tennessee Utah Virginia West Virginia Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History Gross Withdrawals NA NA NA NA NA NA 1991-2013 From Gas Wells NA NA NA NA NA NA 1991-2013

250

Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 Federal Building Delivered Energy Consumption Intensities, by Year (1) Year Year FY 1985 123.0 FY 1997 111.9 FY 1986 131.3 FY 1998 107.7 FY 1987 136.9 FY 1999 106.7 FY 1988 136.3 FY 2000 104.8 FY 1989 132.6 FY 2001 105.9 FY 1990 128.6 FY 2002 104.6 FY 1991 122.9 FY 2003 105.2 FY 1992 125.5 FY 2004 104.9 FY 1993 122.3 FY 2005 98.2 FY 1994 120.2 FY 2006 (2) 113.9 FY 1995 117.3 FY 2007 (3) 112.9 FY 1996 115.0 FY 2015 (4) 89.5 Note(s): Source(s): Consumption per Gross Consumption per Gross Square Foot (10^3 Btu/SF) Square Foot (10^3 Btu/SF) 1) See Table 4.3.1 for floorspace. 2) Increase due to change in categorization of Federal buildings. 3) Adjusted for renewable energy purchases and source savings. 4) Executive Order 13423 goal. DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table 1, p. 13; DOE/FEMP, Annual Report to Congress on FEMP, Sept. 2006, Table

251

Today in Energy - commercial consumption & efficiency  

Reports and Publications (EIA)

Short, timely articles with graphs about recent commercial consumption and efficiency issues and trends.

2028-01-01T23:59:59.000Z

252

US ENC WI Site Consumption  

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

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

253

US ENC WI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

254

US WSC TX Site Consumption  

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

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

255

US WSC TX Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

256

US ESC TN Site Consumption  

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

ESC TN ESC TN Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ESC TN Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US ESC TN Site Consumption kilowatthours $0 $400 $800 $1,200 $1,600 US ESC TN Expenditures dollars ELECTRICITY ONLY average per household * Tennessee households consume an average of 79 million Btu per year, about 12% less than the U.S. average. * Average electricity consumption for Tennessee households is 33% higher than the national average and among the highest in the nation, but spending for electricity is closer to average due to relatively low electricity prices. * Tennessee homes are typically newer, yet smaller in size, than homes in other parts of the country.

257

OpenEI - Energy Consumption  

Open Energy Info (EERE)

Commercial and Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States http://en.openei.org/datasets/node/961 This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols).  This dataset also includes the consumption/residential/">Residential Energy Consumption Survey (RECS) for statistical references of building types

258

Fuel consumption model for FREFLO  

E-Print Network (OSTI)

above, Biggs and Akcelik (1985) proposed a model of the following form: f = fsito + &Pr + z[apr)o o (5) where, Po = total drag power P, = inertia power a = instantaneous acceleration 8, = fuel consumption per unit power 8, = fuel consumption per... that is additional to S, P, . This component is expressed as SzaP, , where &z is considered to be a secondary efficiency parameter that relates fuel to the product of inertia power and acceleration rate, for positive accelerations. This term allows for the effects...

Rao, Kethireddipalli Srinivas

1992-01-01T23:59:59.000Z

259

6 Multicomponent Density-Functional Theory R. van Leeuwen and E.K.U. Gross  

E-Print Network (OSTI)

6 Multicomponent Density-Functional Theory R. van Leeuwen and E.K.U. Gross 6.1 Introduction fields. Our goal is to set up a time-dependent multicomponent density-functional theory (TDMCDFT.K.U. Gross: Multicomponent Density-Functional Theory, Lect. Notes Phys. 706, 93­106 (2006) DOI 10

Gross, E.K.U.

260

Other incarnations of the Gross-Pitaevskii dark soliton Indubala I Satija 1,2  

E-Print Network (OSTI)

Other incarnations of the Gross-Pitaevskii dark soliton Indubala I Satija 1,2 and Radha Balakrishnan3 1 Department of Physics, George Mason University, Fairfax, VA 22030 2 National Institute 600113, India (Dated: May 31, 2010) We show that the dark soliton of the Gross-Pitaevskii equation (GPE

Satija, Indu

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261

The Gross-Pitaevskii Soliton: Relating Weakly and Strongly Repulsive Bosonic condensates and the magnetic soliton  

E-Print Network (OSTI)

The Gross-Pitaevskii Soliton: Relating Weakly and Strongly Repulsive Bosonic condensates and the magnetic soliton Indubala I Satija 1,2 and Radha Balakrishnan3 1 Department of Physics, George Mason soliton of the Gross-Pitaevskii equation (GPE) that describes the Bose-Einstein con- densate (BEC) density

Satija, Indu

262

Table 3. Gross Domestic Product, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Gross Domestic Product, Projected vs. Actual Gross Domestic Product, Projected vs. Actual (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 4.3% 3.8% 3.6% 3.3% 3.2% 3.2% AEO 1983 3.3% 3.3% 3.4% 3.3% 3.2% 3.1% 2.7% AEO 1984 2.7% 2.4% 2.9% 3.1% 3.1% 3.1% 2.7% AEO 1985 2.3% 2.2% 2.7% 2.8% 2.9% 3.0% 3.0% 3.0% 2.9% 2.8% 2.8% AEO 1986 2.6% 2.5% 2.7% 2.5% 2.5% 2.6% 2.6% 2.6% 2.5% 2.5% 2.5% 2.5% 2.5% 2.5% 2.5% AEO 1987 2.7% 2.3% 2.4% 2.5% 2.5% 2.6% 2.6% 2.5% 2.4% 2.3% AEO 1989* 4.0% 3.4% 3.1% 3.0% 2.9% 2.8% 2.7% 2.7% 2.7% 2.6% 2.6% 2.6% 2.6% AEO 1990 2.9% 2.3% 2.5% 2.5% 2.4% AEO 1991 0.8% 1.0% 1.7% 1.8% 1.8% 1.9% 2.0% 2.1% 2.1% 2.1% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% AEO 1992 -0.1% 1.6% 2.0% 2.2% 2.3% 2.2% 2.2% 2.2% 2.2% 2.3% 2.3% 2.3% 2.3% 2.2%

263

Table 2. Real Gross Domestic Product, Projected vs. Actual  

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

Real Gross Domestic Product, Projected vs. Actual Real Gross Domestic Product, Projected vs. Actual Projected Real GDP Growth Trend (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 3.1% 3.2% 2.9% 2.8% 2.7% 2.7% 2.6% 2.6% 2.6% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.4% 2.3% 2.3% AEO 1995 3.7% 2.8% 2.5% 2.7% 2.7% 2.6% 2.6% 2.5% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.3% 2.3% 2.2% AEO 1996 2.6% 2.2% 2.5% 2.5% 2.5% 2.5% 2.4% 2.4% 2.4% 2.4% 2.4% 2.3% 2.3% 2.2% 2.2% 2.2% 1.6% AEO 1997 2.1% 1.9% 2.0% 2.2% 2.3% 2.3% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.2% 2.1% 2.1% 1.5% AEO 1998 3.4% 2.9% 2.6% 2.5% 2.4% 2.4% 2.3% 2.3% 2.3% 2.3% 2.3% 2.3% 2.3% 2.2% 1.8% AEO 1999 3.4% 2.5% 2.5% 2.4% 2.4% 2.4% 2.3% 2.4% 2.4% 2.4% 2.4% 2.4% 2.4% 1.8% AEO 2000 3.8% 2.9% 2.7% 2.6% 2.6% 2.6% 2.6% 2.6% 2.5% 2.5%

264

US NE MA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

265

Rail Transit and Energy Consumption  

Science Journals Connector (OSTI)

...Transit and Energy Consumption In a recent issue...D.C. 20418 The Diesel's Advantages It...p. 517). The diesel car, while it has...Other types of engine can be made to meet...catalysts by using leaded fuel because it is 3 to...politically unpopular. The diesel car requires no add-on...

CHARLES A. LAVE

1977-09-02T23:59:59.000Z

266

US NE MA Site Consumption  

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

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

267

Gross Input to Atmospheric Crude Oil Distillation Units  

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

Day) Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 15,283 15,709 16,327 16,490 16,306 16,162 1985-2013 PADD 1 1,134 1,188 1,178 1,142 1,122 1,130 1985-2013 East Coast 1,077 1,103 1,080 1,058 1,031 1,032 1985-2013 Appalachian No. 1 57 85 98 84 90 97 1985-2013 PADD 2 3,151 3,087 3,336 3,572 3,538 3,420 1985-2013 Ind., Ill. and Ky. 2,044 1,947 2,069 2,299 2,330 2,266 1985-2013

268

Note on gross capital formation and R&D expenditure  

Science Journals Connector (OSTI)

Companies often consider the cost of R&D projects (especially salaries paid to R&D personnel) as part of their current expenses. Companies continue to do this practice even without exactly specifying what they mean by R&D project costs. This practice is misleading because spending on research is undeniably a form of fixed capital investment, even more so than the item that economists consider as the epitome of fixed capital investment â?? purchase of machinery. The dynamics of the possible relationship between investment in research and investment in machinery is that during times of economic expansion, firms tend to increase their investment in research to come up with product innovations capable of exploiting increasing effectual demand. Over time, this investment results in the emergence of the direct relationship between expense on industrial R&D and the business cycle. We tested this hypothesis both in Italy and in the USA. Our experiments are based on OECD statistics, referring to R&D spending from 1987 to 1999, and on the magnitude 'Gross Capital Formation' in the manufacturing industry. We chose to represent our conjecture about a causal relationship between investment cycle and R&D expenditure econometrically.

Mario De Marchi; Maurizio Rocchi

2005-01-01T23:59:59.000Z

269

Other States Total Natural Gas Gross Withdrawals and Production  

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

Monthly Annual Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History Gross Withdrawals 4,430,466 4,839,942 5,225,005 5,864,402 6,958,125 8,225,321 1991-2012 From Gas Wells 2,480,211 2,613,139 2,535,642 2,523,173 1991-2010 From Oil Wells 525,280 534,253 648,906 691,643 1991-2010 From Shale Gas Wells 569,502 796,138 1,146,821 1,787,965 2007-2010 From Coalbed Wells 855,473 896,412 893,636 861,620 2002-2010 Repressuring 48,011 51,781 43,376 45,994 1991-2010 Vented and Flared 32,600 52,667 55,544 53,950 1991-2010 Nonhydrocarbon Gases Removed 223,711 282,651 291,611 352,304 1994-2010

270

Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983)  

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

Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983)

271

Manufacturing Consumption of Energy 1994  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration/Manufacturing Consumption of Energy 1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas restructuring, gas pipelines were opened to multiple users. Manufacturers or their representatives could go directly to the wellhead to purchase their natural gas, arrange the transportation, and have the natural gas delivered either by the local distribution company or directly through a connecting pipeline. More recently, the electricity markets have been undergoing change. When Congress passed the Energy Policy Act of 1992, requirements were included not only to open access to the ownership of electricity generation, but also to open access to the transmission lines so that wholesale trade in electricity would be possible. Now several States, including California and

272

Household Vehicles Energy Consumption 1991  

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

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

273

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

6 6 State Energy Data 2011: Consumption Table C11. Energy Consumption by Source, Ranked by State, 2011 Rank Coal Natural Gas a Petroleum b Retail Electricity Sales State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,695.2 Texas 3,756.9 Texas 5,934.3 Texas 1,283.1 2 Indiana 1,333.4 California 2,196.6 California 3,511.4 California 893.7 3 Ohio 1,222.6 Louisiana 1,502.9 Louisiana 1,925.7 Florida 768.0 4 Pennsylvania 1,213.0 New York 1,246.9 Florida 1,680.3 Ohio 528.0 5 Illinois 1,052.2 Florida 1,236.6 New York 1,304.0 Pennsylvania 507.6 6 Kentucky 1,010.6 Pennsylvania 998.6 Pennsylvania 1,255.6 New York 491.5

274

Manufacturing Consumption of Energy 1994  

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

Manufacturing Manufacturing Energy Consumption Survey Forms Form EIA-846A (4-6-95) U.S. Department of Commerce Bureau of the Census Acting as Collecting and Compiling Agent For 1994 MANUFACTURING ENERGY CONSUMPTION SURVEY Public reporting burden for this collection of information is estimated to average 9 hours per response, including the time of reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to the Energy Information Administration, Office of Statistical Standards, EI-73, 1707 H-Street, NW, Washington, DC 20585; and to the Office of Information and Regulatory Affairs, Office of

275

Household Vehicles Energy Consumption 1991  

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

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

276

US WNC MO Site Consumption  

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

WNC MO WNC MO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WNC MO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US WNC MO Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US WNC MO Expenditures dollars ELECTRICITY ONLY average per household * Missouri households consume an average of 100 million Btu per year, 12% more than the U.S. average. * Average household energy costs in Missouri are slightly less than the national average, primarily due to historically lower residential electricity prices in the state. * Missouri homes are typically larger than homes in other states and are more likely to be attached or detached single-family housing units.

277

Manufacturing Consumption of Energy 1994  

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

2(94) 2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. ii Energy Information Administration/Manufacturing Consumption of Energy 1994 Contacts This publication was prepared by the Energy Information Administration (EIA) under the general direction of W. Calvin

278

Manufacturing consumption of energy 1994  

SciTech Connect

This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

NONE

1997-12-01T23:59:59.000Z

279

Manufacturing Consumption of Energy 1994  

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

E E U.S. Census Regions and Divisions 489 Energy Information Administration/Manufacturing Consumption of Energy 1994 Source: U.S. Department of Commerce, Bureau of the Census, Statistical Abstract of the United States,1996 (Washington, DC, October 1996), Figure 1. Appendix E U.S. Census Regions and Divisions Appendix F Descriptions of Major Industrial Groups and Selected Industries Executive Office of the President, Office of Management and Budget, Standard Industrial Classification Manual, 1987, pp. 67-263. 54 493 Energy Information Administration/Manufacturing Consumption of Energy 1994 Appendix F Descriptions of Major Industrial Groups and Selected Industries This appendix contains descriptions of industrial groups and selected industries taken from the Standard Industrial

280

Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million  

Gasoline and Diesel Fuel Update (EIA)

Coalbed Wells (Million Cubic Feet) Coalbed Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 0 0 0 0 0 0 0 0 0 0 0 0 2003 5,335 4,954 5,465 5,228 5,405 5,163 4,817 5,652 5,165 5,347 4,814 5,420 2004 5,684 5,278 5,822 5,570 5,758 5,500 5,132 6,022 5,502 5,697 5,129 5,774 2005 5,889 5,469 6,033 5,771 5,967 5,699 5,318 6,240 5,702 5,903 5,315 5,983 2006 65,302 59,484 66,007 63,071 65,663 63,437 65,249 65,951 62,242 65,271 63,215 64,841 2007 72,657 65,625 72,657 70,313 72,657 70,313 72,657 72,657 70,313 72,657 70,313 72,657 2008 75,926 71,027 75,926 73,476 75,926 73,476 75,926 75,926 73,476 75,926 73,476 75,926

Note: This page contains sample records for the topic "gross inland consumption" 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

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

4) 4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Coal Natural Gas c Petroleum Nuclear Electric Power Hydro- electric Power d Biomass e Other f Net Interstate Flow of Electricity/Losses g Residential Commercial Industrial b Transportation Alabama 2,159.7 853.9 404.0 638.5 329.9 106.5 185.0 0.1 -358.2 393.7 270.2 1,001.1 494.7 Alaska 779.1 14.1 411.8 334.8 0.0 15.0 3.3 0.1 0.0 56.4 63.4 393.4 266.0 Arizona 1,436.6 425.4 354.9 562.8 293.1 69.9 8.7 3.6 -281.7 368.5 326.0 231.2 511.0 Arkansas 1,135.9 270.2 228.9 388.3 161.1 36.5 76.0 0.6 -25.7 218.3 154.7 473.9 288.9 California 8,364.6 68.9 2,474.2 3,787.8 315.6 342.2

282

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9) 9) June 2011 State Energy Consumption Estimates 1960 Through 2009 2009 Consumption Summary Tables Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity/ Losses f Net Electricity Imports Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,906.8 631.0 473.9 583.9 1,688.8 415.4 272.9 -470.3 0.0 383.2 266.0 788.5 469.2 Alaska 630.4 14.5 344.0 255.7 614.1 0.0 16.3 0.0 (s) 53.4 61.0 325.4 190.6 Arizona 1,454.3 413.3 376.7 520.8 1,310.8 320.7 103.5 -279.9 -0.8 400.8 352.1 207.8 493.6 Arkansas 1,054.8 264.1 248.1 343.1 855.3 158.7 126.5 -85.7 0.0 226.3 167.0 372.5

283

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 Rank Residential Sector Commercial Sector Industrial Sector Transportation Sector Total Consumption State Million Btu State Million Btu State Million Btu State Million Btu State Million Btu 1 North Dakota 99.8 District of Columbia 193.1 Louisiana 585.8 Alaska 277.3 Wyoming 974.7 2 West Virginia 90.9 Wyoming 119.2 Wyoming 568.2 Wyoming 200.7 Louisiana 886.5 3 Missouri 89.4 North Dakota 106.9 Alaska 435.7 North Dakota 172.8 Alaska 881.3 4 Tennessee 87.8 Alaska 94.1 North Dakota 388.9 Louisiana 158.0 North Dakota 768.4 5 Kentucky 87.4 Montana 78.4 Iowa 243.4 Oklahoma 122.3 Iowa 493.6

284

Household vehicles energy consumption 1994  

SciTech Connect

Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

NONE

1997-08-01T23:59:59.000Z

285

,"US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)"  

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

Gross Withdrawals (MMcf)" Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1060_rusf_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1060_rusf_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:57:21 AM"

286

,"Federal Offshore California Natural Gas Gross Withdrawals (MMcf)"  

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

Gross Withdrawals (MMcf)" Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore California Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1060_r5f_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1060_r5f_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:57:18 AM"

287

Essays on aggregate and individual consumption fluctuations  

E-Print Network (OSTI)

This thesis consists of three essays on aggregate and individual consumption fluctuations. Chapter 1 develops a quantitative model to explore aggregate and individual consumption dynamics when the income process exhibits ...

Hwang, Youngjin

2006-01-01T23:59:59.000Z

288

Reduced Energy Consumption for Melting in Foundries  

E-Print Network (OSTI)

Reduced Energy Consumption for Melting in Foundries Ph.D. Thesis by Søren Skov-Hansen Supervisor-melted, and hence reduce the energy consumption for melting in foundries. Traditional gating systems are known

289

EIA - Analysis of Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption 2010 Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format) Trends in U.S. Residential Natural Gas Consumption This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009). It examines a long-term downward per-customer consumption trend and analyzes whether this trend persists across Census Divisions. The report also examines some of the factors that have contributed to the decline in per-customer consumption. To provide a more meaningful measure of per-customer consumption, EIA adjusted consumption data presented in the report for weather. Categories: Consumption (Released, 6/23/2010, pdf format)

290

Ethanol Consumption by Rat Dams During Gestation,  

E-Print Network (OSTI)

Ethanol Consumption by Rat Dams During Gestation, Lactation and Weaning Increases Ethanol examined effects of ethanol consumption in rat dams during gestation, lactation, and weaning on voluntary ethanol consumption by their adolescent young. We found that exposure to an ethanol-ingesting dam

Galef Jr., Bennett G.

291

Mathematical models of natural gas consumption  

E-Print Network (OSTI)

Mathematical models of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan Vazler , Marijana Zeki-Susac ksabo of natural gas consumption hourly fore- cast on the basis of hourly movement of temperature and natural gas

Scitovski, Rudolf

292

Public perceptions of energy consumption and savings  

E-Print Network (OSTI)

Public perceptions of energy consumption and savings Shahzeen Z. Attaria,1 , Michael L. De consumption and savings for a variety of household, transportation, and recycling activities. When asked, with 98% of US emissions attributed to energy consumption (2). According to Pacala and Socolow (3

Kammen, Daniel M.

293

Consumption Oriented Free Capitalism Qiudong Wang  

E-Print Network (OSTI)

Consumption Oriented Free Capitalism Qiudong Wang An economic system is a framework, under which people are organized to produce consumption-goods and to consume the produced. Concerning economic of consumption, which in turn not only hindered further improvement of overall productivity, but also threatened

Wang, Quidong

294

STATE OF CALIFORNIA FAN POWER CONSUMPTION  

E-Print Network (OSTI)

STATE OF CALIFORNIA FAN POWER CONSUMPTION CEC-MECH-4C (Revised 08/09) CALIFORNIA ENERGY COMMISSION FAN POWER CONSUMPTION MECH-4C PROJECT NAME: DATE: NOTE: Provide one copy of this worksheet for each Systems or Variable Air Volume (VAV) Systems when using the Prescriptive Approach. See Power Consumption

295

Energy Consumption of Personal Computing Including Portable  

E-Print Network (OSTI)

Energy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energy consumption by this type of equipment over the years, research

Namboodiri, Vinod

296

Hard Drive Power Consumption Uncovered Computer Laboratory  

E-Print Network (OSTI)

Hard Drive Power Consumption Uncovered Computer Laboratory Digital Technology Group Anthony Hylick, Andrew Rice, Brian Jones, Ripduman Sohan Motivation Attempts to reduce power consumption have mainly of power consumption and identify the need for a more expressive API between the OS and hardware devices

Cambridge, University of

297

The food consumption of the world's seabirds  

Science Journals Connector (OSTI)

...May 2004 research-article The food consumption of the world's seabirds M. de L...provisional estimate of their annual food consumption. Knowing the body mass and energy density...equations to estimate daily and hence annual consumption of a seabird. Using this approach...

2004-01-01T23:59:59.000Z

298

The service economy: ‘wealth without resource consumption’?  

Science Journals Connector (OSTI)

...service economy: wealth without resource consumption? W. R. Stahel The Product-Life...with regard to its per capita material consumption in the industrialized countries. A...economy: `wealth without resource consumption'? B y W. R. Stahel The Product-Life...

1997-01-01T23:59:59.000Z

299

EXPONENTIAL UTILITY WITH NON-NEGATIVE CONSUMPTION  

E-Print Network (OSTI)

EXPONENTIAL UTILITY WITH NON-NEGATIVE CONSUMPTION ROMAN MURAVIEV AND MARIO V. W¨UTHRICH DEPARTMENT- ponential utility maximization problem, where feasible consumption policies are not permitted to be negative- come reduces the current consumption level, thus confirming the presence of the precautionary savings

Wüthrich, Mario

300

Optimal Consumption Choice with Intertemporal Substitution y  

E-Print Network (OSTI)

Optimal Consumption Choice with Intertemporal Substitution y By Peter Bank and Frank Riedel z consumption plans are established under arbitrary convex portfolio constraints, including both complete of the underlying stochastics, optimal consumption occurs at rates, in gulps, or in a singular way. y Support

Bank, Peter

Note: This page contains sample records for the topic "gross inland consumption" 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

Monitoring Energy Consumption In Wireless Sensor Networks  

E-Print Network (OSTI)

Monitoring Energy Consumption In Wireless Sensor Networks Matthias Witt, Christoph Weyer, it may impair the ability of the sensor network to function. Therefore, minimizing energy consumption energy consumption in both standby and active modes is the basis of wireless networks. Energy preserving

Turau, Volker

302

Oil and Gas Gross Production Tax (North Dakota) | Department of Energy  

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

Oil and Gas Gross Production Tax (North Dakota) Oil and Gas Gross Production Tax (North Dakota) Oil and Gas Gross Production Tax (North Dakota) < Back Eligibility Utility Fed. Government Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Residential Installer/Contractor Rural Electric Cooperative Tribal Government Low-Income Residential Schools Retail Supplier Institutional Multi-Family Residential Systems Integrator Fuel Distributor Nonprofit General Public/Consumer Transportation Program Info State North Dakota Program Type Fees A gross production tax applies to most gas produced in North Dakota. Gas burned at the well site to power an electrical generator that consumes at least 75 percent of the gas is exempt from taxation under this chapter.

303

U.S. Natural Gas Gross Withdrawals from Oil Wells (Million Cubic...  

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

Oil Wells (Million Cubic Feet) U.S. Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 475,614 500,196 1993...

304

Fact #564: March 30, 2009 Transportation and the Gross Domestic Product, 2007  

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

Transportation plays a major role in the U.S. economy. About 10% of the U.S. Gross Domestic Product (GDP) in 2007 is related to transportation. Housing, health care, and food are the only...

305

Fact #768: February 25, 2013 New Light Vehicle Sales and Gross...  

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

downs. Those ups and downs are also reflected in the change in Gross Domestic Product (GDP) over time which shows a trend similar to the vehicle sales trend. Vehicle sales have...

306

Affecting the Gross Cooling Power of a Pulse Tube Cryocooler with Mass Flow Control  

Science Journals Connector (OSTI)

To increase the cooling capacity of a pulse tube cryocooler the ... For a given pulse tube volume the gross cooling power is limited. Since the cooling effect originates from the phase shift angle ... we present ...

A. Waldauf; T. Schmauder; M. Thürk; P. Seidel

2003-01-01T23:59:59.000Z

307

DOE/EIA-0321/HRIf Residential Energy Consumption Survey. Consumption  

Gasoline and Diesel Fuel Update (EIA)

/HRIf /HRIf Residential Energy Consumption Survey. Consumption and Expenditures, April 1981 Through March 1982 an Part I: National Data Energy Information Administration Washington, D.C. (202) 20fr02 'O'Q 'uoifkjjUSBM ujiuud juaoiujeAog 'S'n siuawnooQ jo luapuaiuuadns - 0088-292 (202) 98S02 '0'Q 8f 0-d I 6ujp|ing uoiieflSjUjiup v UOIIBUJJOJU | ABjau 3 02-13 'jaiuao UOIJBUJJOJUI XBjaug IBUO!;BN noA pasopua s; uujoi japjo uy 'MO|aq jeadde sjaqoinu auoydajaj PUB sassajppv 'OI3N 9>4i oi papajip aq pinoqs X6jaue uo suotjsenQ '(OIBN) J9»ueo aqjeiMJO^ui ASjaug (BUOIJEN s,vi3 QMi JO OdO 941 UUGJJ peuiBiqo eq ABOI suoijBonqnd (vi3) UO!JBJ;S!UILUPV UOIIBUUJO|U| XBjeug jaiflo PUB SJMJ p ssBiiojnd PUB UOIIBLUJO^JI 6uuepjQ (Od9) 90IWO Bujjuud luetuujaAOQ -g'n 'sjuaiunooa p juapuaiuuedng aqt LUOJI aiqB||BAB si uoHBOjiqnd sjt|i

308

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network (OSTI)

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.5 pounds

309

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network (OSTI)

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.0 pounds

310

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network (OSTI)

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources a significant effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 15

311

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network (OSTI)

Per Capita Consumption 73 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

312

Per Capita Consumption The NMFS calculation of per capita consumption is  

E-Print Network (OSTI)

Per Capita Consumption 84 The NMFS calculation of per capita consumption is based to estimate per capita consumption. Data for the model are derived primarily from second- ary sources effect on the resulting calculation. U.S. per capita consumption of fish and shellfish was 16.3 pounds

313

Analysis of historical gross gamma logging data from BY tank farm  

SciTech Connect

Gross gamma ray logs, recorded from January 1975 through mid-year 1994 as part of the Single-Shell Tank Farm Dry Well Surveillance Program, have been reanalyzed for the BY tank farm to locate the presence of mobile radionuclides in the subsurface. This report presents the BY tank farm gross gamma ray data in such a way as to assist others in their study of vadose zone mechanisms.

MYERS, D.A.

1999-10-13T23:59:59.000Z

314

Analysis of historical gross gamma logging data from BX tank farm  

SciTech Connect

Gross gamma ray logs, recorded from January 1975 through mid-year 1994 as part of the Single-Shell Tank Farm Dry Well Surveillance Program, have been reanalyzed for the BX tank farm to locate the presence of mobile radionuclides in the subsurface. This report presents the BX tank farm gross gamma ray data in such a way as to assist others in their study of vadose zone mechanism.

MYERS, D.A.

1999-10-12T23:59:59.000Z

315

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network (OSTI)

and Low Power Mode Energy Consumption”, Energy Efficiency inEnergy Consumption ..26 3.1.3. 3D TV Energy Consumption and Efficiency

Park, Won Young

2011-01-01T23:59:59.000Z

316

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network (OSTI)

strategies impact on energy consumption in residentialBEHAVIOUR ON HEAT ENERGY CONSUMPTION Nicola Combe 1 ,2 ,nearly 60% of domestic energy consumption and 27% of total

Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

2011-01-01T23:59:59.000Z

317

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network (OSTI)

a forecast for total energy consumption in network standbyconsiderable impact on total energy consumption from TVs.factors affecting total energy consumption. Although further

Park, Won Young

2011-01-01T23:59:59.000Z

318

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

E. Kahn (2011). Electricity Consumption and Durable Housing:49 3.3.3. Pre-installation electricity consumption of CSIon Electricity Consumption .

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

319

The effect of electricity consumption from renewable sources on countries? economic growth levels: Evidence from advanced, emerging and developing economies  

Science Journals Connector (OSTI)

Abstract This paper uses a sample of 36 countries for the time period 1990–2011 in order to examine the relationship between countries? electricity consumption from renewable sources and Gross Domestic Product (GDP) levels. Several nonparametric techniques are applied to investigate the effect of electricity consumption from several renewable sources including wind, geothermal, solar, biomass and waste on countries? GDP levels. When investigating the whole sample ignoring countries? economic development status, the results reveal an increasing relationship up to a certain GDP level, which after that point the effect of electricity consumption on GDP stabilises. However when analyzing separately the ‘Emerging Markets and Developing Economies’, and, the ‘Advanced-Developed Economies’, the results change significantly. For the case of Emerging Market and Developing Economies the relationship appears to be highly nonlinear (an M-shape form) indicating that on those countries the levels of electricity consumption from renewable sources will not result on higher GDP levels. In contrast for the case of the advanced economies the results reveal an increasing nonlinear relationship indicating that higher electricity consumption levels from renewable sources results to higher GDP levels. This finding is mainly attributed to the fact that in the advanced-developed economies more terawatts from renewable sources are generated and consumed compared to the emerging market and developing economies, which traditionally their economies rely on non-renewable sources for power generation and consumption.

George E. Halkos; Nickolaos G. Tzeremes

2014-01-01T23:59:59.000Z

320

Canada's Fuel Consumption Guide | Open Energy Information  

Open Energy Info (EERE)

Canada's Fuel Consumption Guide Canada's Fuel Consumption Guide Jump to: navigation, search Tool Summary Name: Canada's Fuel Consumption Guide Agency/Company /Organization: Natural Resources Canada Focus Area: Fuels & Efficiency Topics: Analysis Tools Website: oee.nrcan.gc.ca/transportation/tools/fuel-consumption-guide/fuel-consu Natural Resources Canada has compiled fuel consumption ratings for passenger cars and light-duty pickup trucks, vans, and special purpose vehicles sold in Canada. The website links to the Fuel Consumption Guide and allows users to search for vehicles from current and past model years. It also provides information about vehicle maintenance and other practices to reduce fuel consumption. How to Use This Tool This tool is most helpful when using these strategies:

Note: This page contains sample records for the topic "gross inland consumption" 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

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C3. Primary Energy Consumption Estimates, 2011 C3. Primary Energy Consumption Estimates, 2011 (Trillion Btu) State Fossil Fuels Fossil Fuels (as commingled) Coal Natural Gas excluding Supplemental Gaseous Fuels a Petroleum Total Natural Gas including Supplemental Gaseous Fuels a Motor Gasoline including Fuel Ethanol a Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline excluding Fuel Ethanol a Residual Fuel Oil Other d Total Alabama ........... 651.0 614.8 156.5 13.4 12.8 304.5 13.4 49.1 549.5 1,815.4 614.8 319.8 Alaska ............... 15.5 337.0 85.1 118.2 1.3 31.9 1.9 28.6 267.1 619.6 337.0 34.6 Arizona ............. 459.9 293.7 151.8 21.5 9.1 297.3 (s) 21.1 500.9 1,254.5 293.7 323.4 Arkansas ........... 306.1 288.6 134.9 5.9 9.4 165.4 0.2 19.8 335.7 930.5 288.6 175.6 California .......... 55.3 2,196.6 567.0 549.7 67.2 1,695.4 186.9 339.6 3,405.8 5,657.6 2,196.6

322

Consumption & Efficiency - Data - U.S. Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Find statistics on energy consumption and efficiency across all fuel sources. + EXPAND ALL Residential Energy Consumption Survey Data Household characteristics Release Date: March 28, 2011 Survey data for occupied primary housing units. Residential Energy Consumption Survey (RECS)

323

Flow shop scheduling with peak power consumption constraints  

E-Print Network (OSTI)

Mar 29, 2012 ... Flow shop scheduling with peak power consumption constraints ... Keywords: scheduling, flow shop, energy, peak power consumption, integer ...

K. Fang

2012-03-29T23:59:59.000Z

324

Household Vehicles Energy Consumption 1991  

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

C C Quality of the Data Appendix C Quality of the Data Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses under- coverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1991 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1991 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics published in this report such as total

325

Manufacturing Consumption of Energy 1994  

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

A24. A24. Total Inputs of Energy for Heat, Power, and Electricity Generation by Program Sponsorship, Industry Group, Selected Industries, and Type of Energy- Management Program, 1994: Part 1 (Estimates in Trillion Btu) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 285 SIC Management Any Type of Sponsored Self-Sponsored Sponsored Sponsored Code Industry Group and Industry Program Sponsorship Involvement Involvement Involvement Involvement a No Energy Electric Utility Government Third Party Type of Sponsorship of Management Programs (1992 through 1994) RSE Row Factors Federal, State, or Local RSE Column Factors: 0.7 1.1 1.0 0.7 1.9 0.9 20-39 ALL INDUSTRY GROUPS Participation in One or More of the Following Types of Programs . .

326

Manufacturing Consumption of Energy 1994  

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

A9. A9. Total Inputs of Energy for Heat, Power, and Electricity Generation by Fuel Type, Census Region, and End Use, 1994: Part 1 (Estimates in Btu or Physical Units) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 166 End-Use Categories (trillion Btu) kWh) (1000 bbl) (1000 bbl) cu ft) (1000 bbl) tons) (trillion Btu) Total (million Fuel Oil Diesel Fuel (billion LPG (1000 short Other Net Distillate Natural and Electricity Residual Fuel Oil and Gas Breeze) a b c Coal (excluding Coal Coke d RSE Row Factors Total United States RSE Column Factors: NF 0.5 1.3 1.4 0.8 1.2 1.2 NF TOTAL INPUTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,515 778,335 70,111 26,107 5,962 25,949 54,143 5,828 2.7 Indirect Uses-Boiler Fuel . . . . . . . . . . . . . . . . . . . . . . . --

327

Manufacturing Consumption of Energy 1994  

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

3 3 Energy Information Administration/Manufacturing Consumption of Energy 1994 Glossary Anthracite: A hard, black, lustrous coal containing a high percentage of fixed carbon and a low percentage of volatile matter. Often referred to as hard coal. Barrel: A volumetric unit of measure equivalent to 42 U.S. gallons. Biomass: Organic nonfossil material of biological origin constituting a renewable energy source. Bituminous Coal: A dense, black coal, often with well-defined bands of bright and dull material, with a moisture content usually less than 20 percent. Often referred to as soft coal. It is the most common coal. Blast Furnace: A shaft furnace in which solid fuel (coke) is burned with an air blast to smelt ore in a continuous operation. Blast Furnace Gas: The waste combustible gas generated in a blast furnace when iron ore is being reduced with coke to

328

Household Vehicles Energy Consumption 1991  

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

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

329

Household vehicles energy consumption 1991  

SciTech Connect

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

Not Available

1993-12-09T23:59:59.000Z

330

Manufacturing Consumption of Energy 1994  

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

Survey Design, Survey Design, Implementation, and Estimates 411 Energy Information Administration/Manufacturing Consumption of Energy 1994 Overview of Changes from Previous Surveys Sample Design. The MECS has increased its sample size by roughly 40 percent since the 1991 survey, increasing the designed sample size from 16,054 establishments to 22,922. This increase in size and change in sampling criteria required a departure from using the Annual Survey of Manufactures (ASM) as the MECS sampling frame. For 1994, establishments were selected directly from the 1992 Census of Manufactures (CM) mail file, updated by 1993 ASM. Sample Frame Coverage. The coverage in the 1994 MECS is 98 percent of the manufacturing population as measured in total payroll. The sampling process itself provided that level of coverage, and no special adjustments were

331

Manufacturing Consumption of Energy 1994  

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

0. 0. Number of Establishments that Actually Switched Fuels from Natural Gas to Residual Fuel Oil, by Industry Group and Selected Industries, 1994 369 Energy Information Administration/Manufacturing Consumption of Energy 1994 SIC Residual Fuel Oil Total Code Industry Group and Industry (billion cu ft) Factors (counts) (counts) (percents) (counts) (percents) a Natural Gas Switchable to Establishments RSE Row Able to Switch Actually Switched RSE Column Factors: 1.3 0.1 1.4 1.7 1.6 1.8 20 Food and Kindred Products . . . . . . . . . . . . . . . . . . . . . . . . . 81 14,698 702 4.8 262 1.8 5.6 2011 Meat Packing Plants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 759 23 3.0 10 1.3 9.0 2033 Canned Fruits and Vegetables . . . . . . . . . . . . . . . . . . . . . 9 531 112 21.2 33 6.2 11.6 2037 Frozen Fruits and Vegetables . . . . . . . . . . . . . . . . . . . . . . 5 232 Q 5.3

332

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 State Energy Data 2011: Consumption Table C9. Electric Power Sector Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Nuclear Electric Power Hydroelectric Power b Biomass Geothermal Solar/PV d Wind Net Electricity Imports e Total f Distillate Fuel Oil Petroleum Coke Residual Fuel Oil Total Wood and Waste c Alabama ............. 586.1 349.4 1.1 0.0 0.0 1.1 411.8 86.3 4.6 0.0 0.0 0.0 0.0 1,439.3 Alaska ................. 6.0 42.3 3.3 0.0 1.5 4.8 0.0 13.1 0.0 0.0 0.0 0.1 (s) 66.3 Arizona ............... 449.9 183.9 0.6 0.0 0.0 0.6 327.3 89.1 2.4 0.0 0.8 2.5 1.5 1,057.9 Arkansas ............. 300.5 109.2 0.5 0.0 0.1 0.6 148.5 28.7 1.3 0.0 0.0 0.0 0.0 588.9 California ............ 19.7 630.1 0.4 11.1 (s) 11.5 383.6 413.4 69.0 122.0 8.4 75.3 20.1 1,753.1 Colorado ............. 362.4 88.1 0.3 0.0 0.0 0.3 0.0 20.2 0.9

333

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 . Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,931.3 651.0 614.8 549.5 1,815.4 411.8 260.6 -556.6 0.0 376.9 257.2 810.0 487.2 Alaska 637.9 15.5 337.0 267.1 619.6 0.0 18.4 0.0 (s) 53.7 68.2 315.4 200.7 Arizona 1,431.5 459.9 293.7 500.9 1,254.5 327.3 136.6 -288.4 1.5 394.7 345.5 221.2 470.1 Arkansas 1,117.1 306.1 288.6 335.7 930.5 148.5 123.7 -85.6 0.0 246.3 174.7 405.0 291.2 California 7,858.4 55.3 2,196.6 3,405.8 5,657.6 383.6 928.5 868.6 20.1 1,516.1 1,556.1 1,785.7 3,000.5 Colorado 1,480.8 368.9 476.5 472.9 1,318.3

334

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C4. Total End-Use Energy Consumption Estimates, 2011 C4. Total End-Use Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power f Biomass Geo- thermal Solar/PV i Retail Electricity Sales Net Energy j,k Electrical System Energy Losses l Total j,k Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste g Losses and Co- products h Alabama ........... 65.0 265.4 155.4 13.4 12.8 319.8 13.4 49.1 563.8 0.0 154.1 0.0 0.1 0.2 303.7 1,352.2 579.1 1,931.3 Alaska ............... 9.5 294.7 81.8 118.2 1.3 34.6 0.4 28.6 265.0 0.0 2.3 0.0 0.2 (s) 21.6 593.2 44.7 637.9 Arizona ............. 10.0 109.8 151.3 21.5 9.1 323.4 (s) 21.1 526.5 0.0 4.4 3.1 0.3 7.9 255.7 917.8 513.7 1,431.5 Arkansas ........... 5.6 179.4 134.5 5.9 9.4 175.6 0.1 19.8 345.4 0.0 82.6 0.0 0.7 0.2 163.5 777.4 339.8 1,117.1 California ..........

335

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

State State Energy Data 2011: Consumption 11 Table C8. Transportation Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Retail Electricity Sales Net Energy Electrical System Energy Losses e Total Aviation Gasoline Distillate Fuel Oil Jet Fuel b LPG c Lubricants Motor Gasoline d Residual Fuel Oil Total Alabama ............. 0.0 23.5 0.4 124.4 13.4 0.3 2.3 316.3 6.7 463.7 0.0 487.2 0.0 487.2 Alaska ................. 0.0 3.5 0.8 44.4 118.2 (s) 0.4 32.9 0.4 197.2 0.0 200.7 0.0 200.7 Arizona ............... 0.0 15.6 1.0 111.3 21.5 0.8 1.6 318.2 0.0 454.5 0.0 470.1 0.0 470.1 Arkansas ............. 0.0 11.5 0.4 99.7 5.9 0.4 2.0 171.3 0.0 279.8 (s) 291.2 (s) 291.2 California ............ 0.0 25.7 1.9 440.9 549.7 3.8 13.3 1,770.1 186.9 2,966.5 2.8 2,995.1 5.5 3,000.5 Colorado ............. 0.0 14.7 0.6 83.2 58.3 0.3

336

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

0 0 State Energy Data 2011: Consumption Table C7. Industrial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power e Biomass Geo- thermal Retail Electricity Sales Net Energy h,i Electrical System Energy Losses j Total h,i Distillate Fuel Oil LPG b Motor Gasoline c Residual Fuel Oil Other d Total Wood and Waste f Losses and Co- products g Alabama ............. 65.0 179.1 23.9 3.7 3.3 6.7 46.3 83.9 0.0 147.2 0.0 (s) 115.1 590.4 219.5 810.0 Alaska ................. 0.1 253.8 19.2 0.1 1.0 0.0 27.1 47.4 0.0 0.1 0.0 0.0 4.5 306.0 9.4 315.4 Arizona ............... 10.0 22.0 33.2 1.4 4.6 (s) 18.4 57.6 0.0 1.4 3.1 0.2 42.1 136.5 84.7 221.2 Arkansas ............. 5.6 93.1 31.1 2.6 4.0 0.1 17.4 55.1 0.0 72.7 0.0 (s) 58.0 284.5 120.5 405.0 California ............ 35.6 767.4 77.2 23.9 29.6 (s) 312.5

337

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

8 8 State Energy Data 2011: Consumption Table C5. Residential Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal a Natural Gas b Petroleum Biomass Geothermal Solar/PV e Retail Electricity Sales Net Energy f Electrical System Energy Losses g Total f Distillate Fuel Oil Kerosene LPG c Total Wood d Alabama ............. 0.0 37.2 0.1 0.1 6.0 6.2 6.0 0.1 0.2 112.6 162.2 214.7 376.9 Alaska ................. 0.0 20.5 8.1 0.1 0.5 8.8 1.9 0.1 (s) 7.3 38.6 15.1 53.7 Arizona ............... 0.0 39.1 (s) (s) 5.5 5.5 2.6 (s) 7.9 112.9 168.0 226.8 394.7 Arkansas ............. 0.0 34.2 0.1 (s) 5.2 5.3 8.6 0.7 0.2 64.1 113.1 133.2 246.3 California ............ 0.0 522.4 0.6 0.6 30.9 32.2 33.3 0.2 43.2 301.6 932.9 583.1 1,516.1 Colorado ............. 0.0 134.2 0.1 (s) 12.3 12.4 8.3 0.2 0.7 62.4 216.5 136.5 353.0 Connecticut ......... 0.0 46.0 59.6

338

EIA - Natural Gas Consumption Data & Analysis  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption Consumption by End Use U.S. and State consumption by lease and plant, pipeline, and delivered to consumers by sector (monthly, annual). Number of Consumers Number of sales and transported consumers for residential, commercial, and industrial sectors by State (monthly, annual). State Shares of U.S. Deliveries By sector and total consumption (annual). Delivered for the Account of Others Commercial, industrial and electric utility deliveries; percentage of total deliveries by State (annual). Heat Content of Natural Gas Consumed Btu per cubic foot of natural gas delivered to consumers by State (annual) and other components of consumption for U.S. (annual). Natural Gas Weekly Update Analysis of current price, supply, and storage data; and a weather snapshot.

339

Renewable Energy Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description Total annual renewable electricity consumption by country, 2005 to 2009 (available in Billion Kilowatt-hours or as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA renewable electricity Renewable Energy Consumption world Data text/csv icon total_renewable_electricity_net_consumption_2005_2009billion_kwh.csv (csv, 8.5 KiB) text/csv icon total_renewable_electricity_net_consumption_2005_2009quadrillion_btu.csv (csv, 8.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2005 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata

340

annual energy consumption | OpenEI  

Open Energy Info (EERE)

energy consumption energy consumption Dataset Summary Description Provides annual renewable energy consumption by source and end use between 1989 and 2008. This data was published and compiled by the Energy Information Administration. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords annual energy consumption consumption EIA renewable energy Data application/vnd.ms-excel icon historical_renewable_energy_consumption_by_sector_and_energy_source_1989-2008.xls (xls, 41 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 1989-2008 License License Creative Commons CCZero Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

Note: This page contains sample records for the topic "gross inland consumption" 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

Household energy consumption and expenditures 1993  

SciTech Connect

This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

NONE

1995-10-05T23:59:59.000Z

342

Trends in Renewable Energy Consumption and Electricity  

Reports and Publications (EIA)

Presents a summary of the nation’s renewable energy consumption in 2010 along with detailed historical data on renewable energy consumption by energy source and end-use sector. Data presented also includes renewable energy consumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and state. The report covers the period from 2006 through 2010.

2012-01-01T23:59:59.000Z

343

EIA-Revisions to Gross Domestic product and Implications for the  

Gasoline and Diesel Fuel Update (EIA)

Revisions to Gross Domestic Product and Implications for the Comparisons Revisions to Gross Domestic Product and Implications for the Comparisons Annual Energy Outlook Retrospective Review: Evaluation of Projections in Past Editions (1982-2008) Revisions to Gross Domestic Product and Implications for the Comparisons The concept of GDP is a commonly used measure of economic activity. It can be expressed in nominal dollars or, with the use of a matched price index to remove inflation, in "real" terms. Movements in nominal GDP show how the value of goods and services produced by the United States changes over time, while real GDP is a measure of how the physical production of the economy has grown. While simple in concept, the projecting of nominal and real GDP and the interpretation of these projected measures relative to "history" is not simple or straightforward. The Bureau of Economic Analysis (BEA) within the U.S. Department of Commerce continually adjusts the National Income and Product Accounts data, with comprehensive revisions completed every 4 or 5 years. The last four major revisions (1985, 1991, 1995, and 1999) incorporated definitional and statistical changes, as well as emphasizing new ways of presenting the data. Also, prior to AEO1993 aggregate economic activity was measured and projected on the basis of Gross National Product (GNP) as opposed to Gross Domestic Product (GDP). For the period from 1984 through 2004, nominal GNP is on average approximately 0.45 percent above nominal GDP.

344

Risk assessment of loss of structural integrity of a floating production platform due to gross errors  

Science Journals Connector (OSTI)

During the last years The Norwegian Petroleum Directorate, as well as Statoil, has put increased focus on how gross errors related to structural integrity are influencing the safety of offshore installations. Also, the loss of the P36, a floating platform outside Brazil in 2001, emphasised the importance to control gross errors in large projects. On this basis, a work to assess the risk of loss of the structural integrity of the Kristin platform, during operation, due to failure from gross errors was initiated. The Kristin platform is a permanently moored ring-pontoon semi-submersible production unit planned to be placed in the south-west part of Haltenbanken area in the North Sea in 2005. The water depth at the site is approximately 315 m. The objective of this work was to quantify the risk contribution from gross errors related to structural integrity and to pinpoint the most critical items that may govern the probability of gross error for the Kristin platform. Some of the main findings from this work are presented in this paper.

Inge Lotsberg; Odd Olufsen; Gunnar Solland; Jan Inge Dalane; Sverre Haver

2004-01-01T23:59:59.000Z

345

,"Colorado Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Consumption by End Use",6,"Monthly","112014","1151989" ,"Release...

346

Fuel Consumption per Vehicle.xls  

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

... 729 NA 618 628 652 681 Table 9. Fuel Consumption per Vehicle, Selected Survey Years (Gallons) Survey Years Page A-1 of A-5 1983 1985...

347

Power Consumption of Hybrid Optical Switches  

Science Journals Connector (OSTI)

Two realization options of hybrid optical switches are evaluated with regard to power consumption. Both switches show improved energy efficiency in comparison to a pure packet...

Aleksic, Slavi?a

348

Issues in International Energy Consumption Analysis: Electricity...  

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

Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Electricity Usage in India's Housing Sector Release date: November 7, 2014...

349

Displacing Natural Gas Consumption and Lowering Emissions  

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

fuels and thereby reduce their natural gas consumption. Opportunity gas fuels include biogas from animal and agri- cultural wastes, wastewater plants, and landfills, as well as...

350

Resource Consumption of Additive Manufacturing Technology.  

E-Print Network (OSTI)

??The degradation of natural resources as a result of consumption to support the economic growth of humans society represents one of the greatest sustainability challenges.… (more)

Nopparat, Nanond

2012-01-01T23:59:59.000Z

351

,"New York Natural Gas Total Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

352

,"California Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Consumption by End Use",11,"Annual",2013,"6301967" ,"Release...

353

Advertising in Markets with Consumption Externalities.  

E-Print Network (OSTI)

??This paper extends the entry deterrence literature by examining coordinating advertising in markets with consumption externalities using a stochastic success function. Optimal advertising and pricing… (more)

Whelan, Adele

2014-01-01T23:59:59.000Z

354

Pricing Conspicuous Consumption Products in Recession Periods ...  

E-Print Network (OSTI)

Conspicuous consumptions products as luxury cars, designer brands, and fancy hotel rooms .... mand D is driven by the brand image and the pricing strategy p.

2012-09-26T23:59:59.000Z

355

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

or fewer than 20 buildings were sampled. NNo responding cases in sample. Notes: Statistics for the "Energy End Uses" category represent total consumption in buildings that...

356

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

357

Consumption & Efficiency - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports An Assessment of EIA's Building Consumption Data Background image of CNSTAT logo The U.S. Energy Information Administration (EIA) routinely uses feedback from customers and outside experts to help improve its programs and products. As part of an assessment of its consumption

358

,"Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)"  

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

Texas Natural Gas Gross Withdrawals (MMcf)" Texas Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1060_r44f_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1060_r44f_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:57:18 AM"

359

,"Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)"  

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

Gross Withdrawals (MMcf)" Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1060_r19f_2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1060_r19f_2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:57:18 AM"

360

On an optimal consumption problem for p-integrable consumption plans  

Science Journals Connector (OSTI)

...A generalization is presented of the existence results for an optimal consumption problem of Aumann and Perles [4]...

Erik J. Balder; Martijn R. Pistorius

2001-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "gross inland consumption" 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

The challenge of reducing energy consumption of the Top-1000 largest industrial enterprises in China  

Science Journals Connector (OSTI)

In 2005, the Chinese government announced an ambitious goal of reducing energy consumption per unit of gross domestic product (GDP) by 20% between 2005 and 2010. One of the key initiatives for realizing this goal is the Top-1000 Energy-Consuming Enterprises program. The energy consumption of these 1000 enterprises accounted for 33% of national and 47% of industrial energy usage in 2004. Under the Top-1000 program, 2010 energy consumption targets were determined for each enterprise. The objective of this article is to evaluate the program design and initial results, given limited information and data, to understand the possible implications of its success in terms of energy and carbon dioxide emission reductions and to recommend future program modifications based on international experience with similar target-setting agreement programs. Even though the Top-1000 program was designed and implemented rapidly, it appears that – depending upon the GDP growth rate – it could contribute to somewhere between approximately 10% and 25% of the savings required to support China's efforts to meet a 20% reduction in energy use per unit of GDP by 2010.

Lynn Price; Xuejun Wang; Jiang Yun

2010-01-01T23:59:59.000Z

362

Table 3.3 Fuel Consumption, 2002  

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

3 Fuel Consumption, 2002;" 3 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

363

DYNAMIC MANAGEMENT OF POWER CONSUMPTION Tajana Simunic  

E-Print Network (OSTI)

of the system and decides when and how to force power state transitions. The power manager makes state transition decisions according to the power management policy. The choice of the policy that minimizes powerChapter 1 DYNAMIC MANAGEMENT OF POWER CONSUMPTION Tajana Simunic HP Labs Abstract Power consumption

Simunic, Tajana

364

Energy Consumption Issues on Mobile Network Systems  

Science Journals Connector (OSTI)

This paper describes energy consumption demographic data in operating real mobile networks. We examine published data from NTT DoCoMo, which is the largest mobile telecommunication operator in Japan and operating nation-wide 3G networks, and identify ... Keywords: Moble Network, Power Consumption, Battery, CO2, Green Network

Minoru Etoh; Tomoyuki Ohya; Yuji Nakayama

2008-07-01T23:59:59.000Z

365

Energy Consumption of Minimum Energy Coding in  

E-Print Network (OSTI)

Energy Consumption of Minimum Energy Coding in CDMA Wireless Sensor Networks Benigno Zurita Ares://www.ee.kth.se/control Abstract. A theoretical framework is proposed for accurate perfor- mance analysis of minimum energy coding energy consumption is analyzed for two coding schemes proposed in the literature: Minimum Energy coding

Johansson, Karl Henrik

366

NOAAlNMFS Developments Seafood Consumption and  

E-Print Network (OSTI)

NOAAlNMFS Developments Seafood Consumption and Exports Are Up in Hawaii Seafood consumption amount to $28.7 million, of which $2.4 million is fresh fish and $21.2 million is frozen seafood (lobster and the inter- national market; 5) seafood consump- tion in Hawaii is estimated to be 24 pounds per person

367

US SoAtl GA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

368

US SoAtl GA Site Consumption  

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

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

369

Chapter 4. Fuel Economy, Consumption and Expenditures  

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

4. Fuel Economy, Consumption, and Expenditures 4. Fuel Economy, Consumption, and Expenditures Chapter 4. Fuel Economy, Consumption, and Expenditures This chapter analyzes trends in fuel economy, fuel consumption, and fuel expenditures, using data unique to the Residential Transportation Energy Consumption Survey, as well as selected data from other sources. Analysis topics include the following: Following the oil supply and price disruptions caused by the Arab oil embargo of 1973-1974, motor gasoline price increases, the introduction of corporate average fuel economy standards, and environmental quality initiatives helped to spur major changes in vehicle technology. But have the many advances in vehicle technology resulted in measurable gains in the fuel economy of the residential vehicle fleet?

370

Effect Of Platooning on Fuel Consumption of Class 8 Vehicles Over a Range of Speeds, Following Distances, and Mass  

SciTech Connect

This research project evaluates fuel consumption results of two Class 8 tractor-trailer combinations platooned together compared to their standalone fuel consumption. A series of ten modified SAE Type II J1321 fuel consumption track tests were performed to document fuel consumption of two platooned vehicles and a control vehicle at varying steady-state speeds, following distances, and gross vehicle weights (GVWs). The steady-state speeds ranged from 55 mph to 70 mph, the following distances ranged from a 20-ft following distance to a 75-ft following distance, and the GVWs were 65K lbs and 80K lbs. All tractors involved had U.S. Environmental Protection Agency (EPA) SmartWay-compliant aerodynamics packages installed, and the trailers were equipped with side skirts. Effects of vehicle speed, following distance, and GVW on fuel consumption were observed and analyzed. The platooning demonstration system used in this study consisted of radar systems, Dedicated Short-Range Communication (DSRC) vehicle-to-vehicle (V2V) communications, vehicle braking and torque control interface, cameras and driver displays. The lead tractor consistently demonstrated an improvement in average fuel consumption reduction as following distance decreased, with results showing 2.7% to 5.3% fuel savings at a GVW of 65k. The trailing vehicle achieved fuel consumption savings ranging from 2.8% to 9.7%; tests during which the engine cooling fan did not operate achieved savings of 8.4% to 9.7%. 'Team' fuel savings, considering the platooned vehicles as one, ranged from 3.7% to 6.4%, with the best combined result being for 55 mph, 30-ft following distance, and 65k GVW.

Lammert, M. P.; Duran, A.; Diez, J.; Burton, K.; Nicholson, A.

2014-10-01T23:59:59.000Z

371

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table C6. Commercial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric Power e Biomass Geothermal Retail Electricity Sales Net Energy g Electrical System Energy Losses h Total g Distillate Fuel Oil Kerosene LPG b Motor Gasoline c Residual Fuel Oil Total d Wood and Waste f Alabama ............. 0.0 25.5 7.0 (s) 2.7 0.2 0.0 10.0 0.0 0.9 0.0 75.9 112.4 144.8 257.2 Alaska ................. 9.4 16.9 10.1 0.1 0.6 0.7 0.0 11.5 0.0 0.3 0.1 9.7 48.0 20.2 68.2 Arizona ............... 0.0 33.1 6.8 (s) 1.5 0.7 0.0 8.9 0.0 0.5 (s) 100.7 143.2 202.3 345.5 Arkansas ............. 0.0 40.6 3.6 (s) 1.2 0.4 0.0 5.2 0.0 1.3 0.0 41.4 88.6 86.1 174.7 California ............ 0.0 250.9 47.9 0.1 8.7 1.4 0.0 58.1 (s) 17.4 0.7 418.9 746.2 809.9 1,556.1 Colorado ............. 3.2 57.6 5.9 (s) 2.9 0.2 0.0 9.1 0.0 1.2 0.2

372

Energy Information Administration - Transportation Energy Consumption by  

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

Energy Consumption Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the surveys can be divided into two broad groups: supply surveys, directed to the suppliers and marketers of specific energy sources, that measure the quantities of specific fuels produced for and/or supplied to the market; and consumption surveys, which gather information on the types of energy used by consumer groups along with the consumer characteristics that are associated with energy use. In the transportation sector, EIA's core consumption survey was the Residential Transportation Energy Consumption Survey. RTECS belongs to the consumption group because it collects information directly from the consumer, the household. For roughly a decade, EIA fielded the RTECS--data were first collected in 1983. This survey, fielded for the last time in 1994, was a triennial survey of energy use and expenditures, vehicle miles-traveled (VMT), and vehicle characteristics for household vehicles. For the 1994 survey, a national sample of more than 3,000 households that own or use some 5,500 vehicles provided data.

373

Texas--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) Texas--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 169,219 206,490 1980's 252,996 235,421 245,626 147,330 111,482 107,543 114,501 98,050 97,545 110,901 1990's 108,404 98,493 78,263 79,234 84,573 63,181 63,340 64,528 60,298 48,918 2000's 41,195 53,649 57,063 53,569 44,946 36,932 24,785 29,229 46,786 37,811 2010's 28,574 23,791 16,506 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

374

Alaska--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) Alaska--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 72,813 71,946 1980's 63,355 71,477 66,852 68,776 68,315 62,454 63,007 69,656 101,440 122,595 1990's 144,064 171,665 216,377 233,198 224,301 113,552 126,051 123,854 133,111 125,841 2000's 263,958 262,937 293,580 322,010 334,125 380,568 354,816 374,204 388,188 357,490 2010's 370,148 364,702 307,306 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

375

Federal Offshore--Texas Natural Gas Gross Withdrawals (Million Cubic Feet)  

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

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore--Texas Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88,258 249,255 554,076 1980's 696,181 775,351 875,204 844,711 909,778 834,870 1,054,537 1,232,554 1,278,548 1,346,940 1990's 1,447,164 1,396,001 1,332,883 1,276,099 1,308,154 1,283,493 1,338,413 1,286,539 1,180,967 1,157,128 2000's 1,136,062 NA NA NA NA NA NA NA NA NA 2010's NA NA 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Offshore Gross Withdrawals of Natural Gas

376

Density-Functional Theory for Triplet Superconductors K. Capelle E.K.U. Gross  

E-Print Network (OSTI)

Density-Functional Theory for Triplet Superconductors K. Capelle E.K.U. Gross Institut f Introduction The purpose of this work is to generalize the density-functional theory (DFT) for superur Theoretische Physik Universitat Wurzburg Am Hubland D-97074 Wurzburg Germany Abstract The density-functional

Gross, E.K.U.

377

Electronic Structure: Density Functional Theory S. Kurth, M. A. L. Marques, and E. K. U. Gross  

E-Print Network (OSTI)

Electronic Structure: Density Functional Theory S. Kurth, M. A. L. Marques, and E. K. U. Gross: July 5, 2003) PACS numbers: 71.15.Mb, 31.15.Ew 1 #12;I. INTRODUCTION Density functional theory (DFT systems becomes prohibitive. A different approach is taken in density functional theory where, instead

Gross, E.K.U.

378

Time-dependent Density Functional Theory Miguel A. L. Marques and E. K. U. Gross  

E-Print Network (OSTI)

Time-dependent Density Functional Theory Miguel A. L. Marques and E. K. U. Gross 1 Introduction Time-dependent density-functional theory (TDDFT) extends the basic ideas of ground-state density-functional is the one-body electron density, n(r, t). The advantages are clear: The many-body wave-function, a function

Wu, Zhigang

379

Copyright George Gross, 2004 1 Evolving Nature of Electricity Market Design in the U.S.  

E-Print Network (OSTI)

of the wholesale electricity industry including · the structure of wholesale energy markets; · transmissionCopyright George Gross, 2004 1 Evolving Nature of Electricity Market Design in the U.S. G a robust wholesale market via the so-called standard design (SMD) proposed rule making. The SMD was a bold

380

Math 151-2 INTRODUCTION TO MATLAB L. J. Gross -August 1995  

E-Print Network (OSTI)

Math 151-2 INTRODUCTION TO MATLAB L. J. Gross - August 1995 This is a very basic introduction to the elements of MATLAB that will be used in the early part of this course. A much more complete description is available for purchase (The Student Edition of MATLAB for MS-DOS or the version for Windows), however

Gross, Louis J.

Note: This page contains sample records for the topic "gross inland consumption" 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

PECO-ELIGIBLE PROJECT REQUESTS Academic or Net Gross Project Cost Educational Approved by  

E-Print Network (OSTI)

PECO-ELIGIBLE PROJECT REQUESTS Academic or Net Gross Project Cost Educational Approved by 2013 Priority to Benefit Square Feet Feet Project (Proj. Cost/ Recommended reference No Project Title Year 1 Year 2 Year 3 Year 4 Year 5 from Projects (NASF) (GSF) Cost GSF) Date/Rec No. 1 UTILITIES

Slatton, Clint

382

PECO-ELIGIBLE PROJECT REQUESTS Academic or Net Gross Project Cost Educational Approved by  

E-Print Network (OSTI)

PECO-ELIGIBLE PROJECT REQUESTS Academic or Net Gross Project Cost Educational Approved by 2014 Priority to Benefit Square Feet Feet Project (Proj. Cost/ Recommended reference No Project Title Year 1 Year 2 Year 3 Year 4 Year 5 from Projects (NASF) (GSF) Cost GSF) Date/Rec No. 1 UTILITIES

Slatton, Clint

383

PECO-ELIGIBLE PROJECT REQUESTS Academic or Net Gross Project Cost Educational Approved by  

E-Print Network (OSTI)

PECO-ELIGIBLE PROJECT REQUESTS Academic or Net Gross Project Cost Educational Approved by 2015 Priority to Benefit Square Feet Feet Project (Proj. Cost/ Recommended reference No Project Title Year 1 Year 2 Year 3 Year 4 Year 5 from Projects (NASF) (GSF) Cost GSF) Date/Rec No. 1 UTILITIES

Slatton, Clint

384

Species independence of mutual information in coding and noncoding DNA Ivo Grosse,1  

E-Print Network (OSTI)

- isms, and the goal of genome projects is to uncover that genetic information. Hence, genomes of many. Mutual information function, I(k), of human coding thin line and noncoding thick line DNA, from GenSpecies independence of mutual information in coding and noncoding DNA Ivo Grosse,1 Hanspeter

Stanley, H. Eugene

385

Flow pattern and hydraulic performance of the REDAC Gross Pollutant Trap  

Science Journals Connector (OSTI)

This paper discusses the flow pattern and hydraulic performance of a Gross Pollutant Trap (GPT), designed and patented by River Engineering and Drainage Research Centre (REDAC) at Universiti Sains Malaysia. Stormwater problems have become more severe due to the increase in urbanization. The increase in the amount of impervious surface in urban areas produces more stormwater runoff, that is carried to the receiving bodies of water. The higher runoff volume also carries more pollutants (gross pollutants, sediments, and nutrients) from the contributing catchment area. Coarse sediments transported by stormwater runoff have negative effects on the receiving body of water and the aquatic environment by covering up aquatic habitats and clogging waterways. One of the challenges in designing a GPT for urban stormwater drainage is providing effective trapping without hindering the hydraulic function of the channel, thus, avoiding overspill or flooding. The current study presents a GPT design to meet these specific requirements of trapping efficiency and hydraulic function. The current GPT overcame the common problem of overspilling of gross pollutants in GPT by the introduction of additional overspill compartments that can handle excessive runoff and improve pollutant trapping in higher flow conditions. In laboratory testing, the prototype GPT was capable of achieving good trapping efficiency (over 80% for gross pollutants and over 60% for coarse sediments) without causing any overspill.

Aminuddin Ab Ghani; H.Md. Azamathulla; Tze Liang Lau; C.H. Ravikanth; Nor Azazi Zakaria; Cheng Siang Leow; Mohd Azlan Mohd Yusof

2011-01-01T23:59:59.000Z

386

Residential Energy Consumption Survey (RECS) - Energy Information  

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

Consumption Survey (RECS) - U.S. Energy Information Consumption Survey (RECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

387

Dipole oscillations in Bose-Fermi mixtures in the time-dependent Gross-Pitaevskii and Vlasov equations  

E-Print Network (OSTI)

Dipole oscillations in Bose-Fermi mixtures in the time-dependent Gross-Pitaevskii and Vlasov equations Tomoyuki Maruyama1,2,3 and George F. Bertsch1 1 Institute for Nuclear Theory, University with the time-dependent Gross-Pitaevskii equation and the Vlasov equation. While the Bose gas oscillates

Bertsch George F.

388

Solitons in a hard-core bosonic system: Gross-Pitaevskii type and beyond Radha Balakrishnan1  

E-Print Network (OSTI)

Solitons in a hard-core bosonic system: Gross-Pitaevskii type and beyond Radha Balakrishnan1, Astronomy and Computational Sciences, George Mason University, Fairfax, VA 22030, USA A unified formulation of the hallmarks of quantum coherence inherent in ultracold atomic systems As predicted theoretically in the Gross

Satija, Indu

389

Supporting Systolic and Memory Communication in iWarp Shekhar Borkar, Robert Cohn, George Cox, Thomas Gross,  

E-Print Network (OSTI)

Supporting Systolic and Memory Communication in iWarp Shekhar Borkar, Robert Cohn, George Cox, Thomas Gross, H. T. Kung, Monica Lam, Margie Levine, Brian Moore, Wire Moore, Craig Peterson, Jim Susman/CMO under Contract MDA972­90­C­0035. Authors' affiliations: R. Cohn, T. Gross, H. T. Kung, and J. Webb

Shewchuk, Jonathan

390

US SoAtl VA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

391

US Mnt(S) AZ Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

Mnt(S) AZ Mnt(S) AZ Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(S) AZ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US Mnt(S) AZ Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US Mnt(S) AZ Expenditures dollars ELECTRICITY ONLY average per household * Arizona households use 66 million Btu of energy per home, 26% less than the U.S. average. * The combination of lower than average site consumption of all energy, but above average electricity which is relatively expensive, results in Arizona households spending 3% less for energy than the U.S. average. * More reliance on air conditioning keeps average site electricity consumption in the state high relative to other parts of the U.S.

392

US SoAtl VA Site Consumption  

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

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

393

Natural gas consumption | OpenEI  

Open Energy Info (EERE)

gas consumption gas consumption Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 136, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural gas consumption Data application/vnd.ms-excel icon AEO2011: Natural Gas Consumption by End-Use Sector and Census Division- Reference Case (xls, 138.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

394

Power Consumption Analysis of Architecture on Demand  

Science Journals Connector (OSTI)

Abstract (40-Word Limit): Recently proposed Architecture on Demand (AoD) node shows considerable flexibility benefits against traditional ROADMs. We study the power consumption of AoD...

Garrich, Miquel; Amaya, Norberto; Zervas, Georgios; Giaccone, Paolo; Simeonidou, Dimitra

395

State energy data report 1996: Consumption estimates  

SciTech Connect

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

396

,"New York Natural Gas Residential Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"182015 12:45:53 PM" "Back to Contents","Data 1: New York Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NY2" "Date","New...

397

,"New York Natural Gas Industrial Consumption (MMcf)"  

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

,,"(202) 586-8800",,,"182015 12:47:17 PM" "Back to Contents","Data 1: New York Natural Gas Industrial Consumption (MMcf)" "Sourcekey","N3035NY2" "Date","New York...

398

Current Demands on Fuel Consumption Measurement  

Science Journals Connector (OSTI)

The general focus on the reduction of greenhouse gases, specifically of CO2..., is also increasingly drawing the attention of engine developers back to the priority of lowering fuel consumption. Fundamental to th...

Karl Köck; Romain Lardet; Rainer Schantl

2011-09-01T23:59:59.000Z

399

Fuel Consumption Monitoring and Diesel Engines  

Science Journals Connector (OSTI)

In a perspective to explore how fuel monitoring and diesel engine life are interconnected, it’s necessary to ... touch several issues such as specifics of diesel engines in fuel consumption, the effects of precis...

Anna Antimiichuk

2014-09-01T23:59:59.000Z

400

Analyzing electricity consumption via data mining  

Science Journals Connector (OSTI)

This paper proposes a model to analyze the massive data of electricity. Feature subset is determined by the correlation ... be determined further. The effects on analyzing electricity consumption of the other thr...

Jinshuo Liu; Huiying Lan; Yizhen Fu; Hui Wu…

2012-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "gross inland consumption" 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

Energy consumption metrics of MIT buildings  

E-Print Network (OSTI)

With world energy demand on the rise and greenhouse gas levels breaking new records each year, lowering energy consumption and improving energy efficiency has become vital. MIT, in a mission to help improve the global ...

Schmidt, Justin David

2010-01-01T23:59:59.000Z

402

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

403

Residential Energy Consumption Survey (RECS) - Energy Information...  

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

Heating and cooling no longer majority of U.S. home energy use Pie chart of energy consumption in homes by end uses Source: U.S. Energy Information Administration, Residential...

404

US Mnt(S) AZ Site Consumption  

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

Mnt(S) AZ Mnt(S) AZ Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(S) AZ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US Mnt(S) AZ Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US Mnt(S) AZ Expenditures dollars ELECTRICITY ONLY average per household * Arizona households use 66 million Btu of energy per home, 26% less than the U.S. average. * The combination of lower than average site consumption of all energy, but above average electricity which is relatively expensive, results in Arizona households spending 3% less for energy than the U.S. average. * More reliance on air conditioning keeps average site electricity consumption in the state high relative to other parts of the U.S.

405

Energy consumption and environmental pollution: a stochastic model  

Science Journals Connector (OSTI)

......indicated that total energy consumption in sugar beet production...pollution. Although energy consumption increased sugar beet yield...and found that hybrid and electric car technologies exhibit (efficiency...ergy efficiency, affects consumption choice by Swedish households......

Charles S. Tapiero

2009-07-01T23:59:59.000Z

406

Optimal consumption and investment for markets with random coefficients.  

E-Print Network (OSTI)

Optimal consumption and investment for markets with random coefficients. Belkacem Berdjane and Serguei Pergamenshchikov December 9, 2011 Abstract We consider an optimal investment and consumption. We assume that an agent makes consumption and investment decisions based on CRRA utility functions

Paris-Sud XI, Université de

407

Sequential #optimal consumption and investment for stochastic volatility markets  

E-Print Network (OSTI)

Sequential #­optimal consumption and investment for stochastic volatility markets with unknown investment and consumption problem for a Black­Scholes financial market with stochastic volatility sequential estimation. We show that the consumption and investment strategy calculated through

408

Intertemporal Consumption and Savings Behavior: Neoclassical, Behavioral, and Neuroeconomic Approaches  

E-Print Network (OSTI)

Intertemporal Consumption and Savings Behavior: Neoclassical, Behavioral, and Neuroeconomic models of intertemporal consumption and savings behavior. I summarize the construction and implications of Modigliani & Brumberg's Life-Cycle Hypothesis [4] and Laibson's quasi-hyperbolic consumption function [8

Morrow, James A.

409

On an Investment-Consumption model with transaction costs  

E-Print Network (OSTI)

On an Investment-Consumption model with transaction* Abstract This paper considers the optimal consumption and investment policy for* * an investor of consumption. Dynamic Programming leads to a Variational* * Inequality for the value function

Menaldi, Jose-Luis

410

Consumption of Imipenem Correlates with ?-Lactam Resistance in Pseudomonas aeruginosa  

Science Journals Connector (OSTI)

...Microbiology ARTICLE CLINICAL THERAPEUTICS Consumption of Imipenem Correlates with b-Lactam...from 1997 to 2000, we monitored the consumption of b-lactam and other antibiotics...Partial correlation coefficients between consumption and resistance rates were determined...

Philipp M. Lepper; Eberhard Grusa; Helga Reichl; Josef Högel; Matthias Trautmann

2002-09-01T23:59:59.000Z

411

Consumption patterns, complexity and enrichment in aquatic food chains  

Science Journals Connector (OSTI)

...22 May 1998 research-article Consumption patterns, complexity and enrichment...patterns resembling ratio-dependent consumption. However, whereas the prey-dependent...prey-dependent|enrichment|omnivory| Consumption patterns, complexity and enrichment...

1998-01-01T23:59:59.000Z

412

Uncertainties in Energy Consumption Introduced by Building Operations and  

E-Print Network (OSTI)

Uncertainties in Energy Consumption Introduced by Building Operations and Weather for a Medium between predicted and actual building energy consumption can be attributed to uncertainties introduced in energy consumption due to actual weather and building operational practices, using a simulation

413

National Seafood Consumption Survey: Overview of Survey Methodology & Implementation Strategy  

E-Print Network (OSTI)

National Seafood Consumption Survey: Overview of Survey Methodology & Implementation Strategy Methodology The primary objective of NOAA Fisheries National Seafood Consumption Survey was to gather information about people's purchase and consumption behaviors of various seafood products. These behavioral

414

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

Meter allows us to study the energy consumption patterns onThis allows us to study the energy consumption of individualgives us a good framework to study the energy consumption

Balaji, Bharathan

2011-01-01T23:59:59.000Z

415

Residential Lighting End-Use Consumption  

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

The U.S. DOE Residential Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications.

416

State energy data report 1994: Consumption estimates  

SciTech Connect

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

417

Table 6.2 Consumption Ratios of Fuel, 2002  

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

2 Consumption Ratios of Fuel, 2002;" 2 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,"Consumption" " ",,"Consumption","per Dollar"," " " ","Consumption","per Dollar","of Value","RSE" "Economic","per Employee","of Value Added","of Shipments","Row" "Characteristic(a)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

418

" Column: Energy-Consumption Ratios;"  

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

3 Consumption Ratios of Fuel, 2006;" 3 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

419

" Column: Energy-Consumption Ratios;"  

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

3 Consumption Ratios of Fuel, 2002;" 3 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

420

Inland-transport modes for coal and coal-derived energy: an evaluation method for comparing environmental impacts  

SciTech Connect

This report presents a method for evaluating relative environmental impacts of coal transportation modes (e.g., unit trains, trucks). Impacts of each mode are evaluated (rated) for a number of categories of environmental effects (e.g., air pollution, water pollution). The overall environmental impact of each mode is determined for the coal origin (mine-mouth area), the coal or coal-energy product destination (demand point), and the line-haul route. These origin, destination, and en route impact rankings are then combined into a systemwide ranking. Thus the method accounts for the many combinations of transport modes, routes, and energy products that can satisfy a user's energy demand from a particular coal source. Impact ratings and system rankings are not highly detailed (narrowly defined). Instead, environmental impacts are given low, medium, and high ratings that are developed using environmental effects data compiled in a recent Argonne National Laboratory report entitled Data for Intermodal Comparison of Environmental Impacts of Inland Transportation Alternatives for Coal Energy (ANL/EES-TM-206). The ratings and rankings developed for this report are generic. Using the method presented, policy makers can apply these generic data and the analytical framework given to particular cases by adding their own site specific data and making some informed judgements. Separate tables of generic ratings and rankings are developed for transportation systems serving coal power plants, coal liquefaction plants, and coal gasification plants. The final chapter presents an hypothetical example of a site-specific application and adjustment of generic evaluations. 44 references, 2 figures, 14 tables.

Bertram, K.M.

1983-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "gross inland consumption" 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

Consumption & Efficiency - U.S. Energy Information Administration (EIA)  

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

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Technical Workshop on Behavior Economics Presentations Technical Workshop on Behavior Economics Presentations Cost of Natural Gas Used in Manufacturing Sector Has Fallen Graph showing Cost of Natural Gas Used in Manufacturing Sector Has Fallen Source: U.S. Energy Information Administration, Manufacturing Energy

422

Federal Energy Management Program: Data Center Energy Consumption Trends  

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

Data Center Energy Data Center Energy Consumption Trends to someone by E-mail Share Federal Energy Management Program: Data Center Energy Consumption Trends on Facebook Tweet about Federal Energy Management Program: Data Center Energy Consumption Trends on Twitter Bookmark Federal Energy Management Program: Data Center Energy Consumption Trends on Google Bookmark Federal Energy Management Program: Data Center Energy Consumption Trends on Delicious Rank Federal Energy Management Program: Data Center Energy Consumption Trends on Digg Find More places to share Federal Energy Management Program: Data Center Energy Consumption Trends on AddThis.com... Sustainable Buildings & Campuses Operations & Maintenance Greenhouse Gases Water Efficiency Data Center Energy Efficiency Energy Consumption Trends

423

Fact #839: September 22, 2014 World Petroleum Consumption Continues...  

Energy Savers (EERE)

39: September 22, 2014 World Petroleum Consumption Continues to Rise despite Declines from the United States and Europe Fact 839: September 22, 2014 World Petroleum Consumption...

424

Fact #749: October 15, 2012 Petroleum and Natural Gas Consumption...  

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

9: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by State, 2010 Fact 749: October 15, 2012 Petroleum and Natural Gas Consumption for Transportation by...

425

Complex System Method to Assess Commercial Vehicle Fuel Consumption...  

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

Complex System Method to Assess Commercial Vehicle Fuel Consumption Complex System Method to Assess Commercial Vehicle Fuel Consumption Two case studies for commercial vehicle...

426

Fact #705: December 12, 2011 Fuel Consumption Standards for Combinatio...  

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

5: December 12, 2011 Fuel Consumption Standards for Combination Tractors Fact 705: December 12, 2011 Fuel Consumption Standards for Combination Tractors The National Highway...

427

Lubricant Formulation and Consumption Effects on Diesel Exhaust...  

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

Lubricant Formulation and Consumption Effects on Diesel Exhaust Ash Emissions: Lubricant Formulation and Consumption Effects on Diesel Exhaust Ash Emissions: 2005 Diesel Engine...

428

Fact #706: December 19, 2011 Vocational Vehicle Fuel Consumption...  

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

6: December 19, 2011 Vocational Vehicle Fuel Consumption Standards Fact 706: December 19, 2011 Vocational Vehicle Fuel Consumption Standards The National Highway Traffic Safety...

429

Table E7.1. Consumption Ratios of Fuel, 1998  

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

1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy-Consumption Ratios;" " Unit:...

430

Impact of Driving Behavior on PHEV Fuel Consumption for Different...  

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

Driving Behavior on PHEV Fuel Consumption for Different Powertrain, Component Sizes and Control Impact of Driving Behavior on PHEV Fuel Consumption for Different Powertrain,...

431

Fuel Consumption and Cost Benefits of DOE Vehicle Technologies...  

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

Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program Fuel Consumption and Cost Benefits of DOE Vehicle Technologies Program 2012 DOE Hydrogen and Fuel Cells...

432

Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption...  

Annual Energy Outlook 2012 (EIA)

-- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Federal Offshore -- Gulf of Mexico Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1...

433

Comparison of Real World Energy Consumption to Models and DOE...  

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

Comparison of Real World Energy Consumption to Models and DOE Test Procedures Comparison of Real World Energy Consumption to Models and DOE Test Procedures This study investigates...

434

Power to the Plug: An Introduction to Energy, Electricity, Consumption...  

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

to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Power to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency Below is...

435

New Water Booster Pump System Reduces Energy Consumption by 80...  

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

Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases...

436

Hydraulic HEV Fuel Consumption Potential | Department of Energy  

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

Consumption Potential Hydraulic HEV Fuel Consumption Potential 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

437

Manufacturing Energy Consumption Survey (MECS) - Data - U.S....  

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

| 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total First Use (formerly Primary Consumption) of Energy...

438

Reducing fuel consumption on the field, by continuously measuring...  

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

fuel consumption on the field, by continuously measuring fuel quality on electronically fuel injected engines. Reducing fuel consumption on the field, by continuously measuring...

439

The Impact of Oil Consumption Mechanisms on Diesel Exhaust Particle...  

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

Oil Consumption Mechanisms on Diesel Exhaust Particle Size Distributions and Detailed Exhaust Chemical Composition The Impact of Oil Consumption Mechanisms on Diesel Exhaust...

440

Fact Sheet: Gas Prices and Oil Consumption Would Increase Without...  

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

Gas Prices and Oil Consumption Would Increase Without Biofuels Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Secretary of Energy Samuel W. Bodman and...

Note: This page contains sample records for the topic "gross inland consumption" 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

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network (OSTI)

consumption. Total energy consumption (in thousand BTUs) waselectricity and total energy consumption. Because all homesin gas, electric, and total energy consumption. Removing

Kelsven, Phillip

2013-01-01T23:59:59.000Z

442

,"Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_fgs_sky_mmcfm.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_fgs_sky_mmcfm.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:59:25 AM" "Back to Contents","Data 1: Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGM_EPG0_FGS_SKY_MMCF" "Date","Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

443

,"South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_fgs_ssd_mmcfm.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_fgs_ssd_mmcfm.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:59:32 AM" "Back to Contents","Data 1: South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGM_EPG0_FGS_SSD_MMCF" "Date","South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

444

,"South Dakota Natural Gas Gross Withdrawals (MMcf)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9010sd2m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9010sd2m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:55:15 AM" "Back to Contents","Data 1: South Dakota Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010SD2" "Date","South Dakota Natural Gas Gross Withdrawals (MMcf)" 33253,525 33284,421 33312,458 33343,445 33373,421 33404,427 33434,474

445

,"South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_fgs_ssd_mmcfa.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_fgs_ssd_mmcfa.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:59:32 AM" "Back to Contents","Data 1: South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGM_EPG0_FGS_SSD_MMCF" "Date","South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

446

,"South Dakota Natural Gas Gross Withdrawals (MMcf)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9010sd2a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9010sd2a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:55:15 AM" "Back to Contents","Data 1: South Dakota Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010SD2" "Date","South Dakota Natural Gas Gross Withdrawals (MMcf)" 24653,0 25019,0 25384,0 25749,0 26114,9 26480,8 26845,10 27210,48 27575,39 27941,52

447

Anomalous discrete chiral symmetry in the Gross-Neveu model and loop gas simulations  

E-Print Network (OSTI)

We investigate the discrete chiral transformation of a Majorana fermion on a torus. Depending on the boundary conditions the integration measure can change sign. Taking this anomalous behavior into account we define a chiral order parameter as a ratio of partition functions with differing boundary conditions. Then the lattice realization of the Gross-Neveu model with Wilson fermions is simulated using the recent `worm' technique on the loop gas or all-order hopping representation of the fermions. An algorithm is formulated that includes the Gross-Neveu interaction for N fermion species. The critical line m_c(g) is constructed for a range of couplings at N = 6 and for N = 2, the Thirring model, as examples.

Oliver Bär; Willi Rath; Ulli Wolff

2009-05-27T23:59:59.000Z

448

,"Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_fgs_sky_mmcfa.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_fgs_sky_mmcfa.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/19/2013 6:59:25 AM" "Back to Contents","Data 1: Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGM_EPG0_FGS_SKY_MMCF" "Date","Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

449

EIA-Annual Energy Outlook Retrospective Review-Revisions to Gross Domestic  

Gasoline and Diesel Fuel Update (EIA)

Revisions to Gross Domestic Product and Implications for the Comparisons The concept of GDP is a commonly used measure of economic activity. It can be expressed in nominal dollars or, with the use of a matched price index to remove inflation, in "real" terms. Movements in nominal GDP show how the value of goods and services produced by the United States changes over time, while real GDP is a measure of how the physical production of the economy has grown. While simple in concept, the projecting of nominal and real GDP and the interpretation of these projected measures relative to "history" is not simple or straightforward. The Bureau of Economic Analysis (BEA) within the U.S. Department of Commerce continually adjusts the National Income and Product Accounts data, with comprehensive revisions completed every 4 or 5 years. The last four major revisions (1985, 1991, 1995, and 1999) incorporated definitional and statistical changes, as well as emphasizing new ways of presenting the data. Also, prior to AEO1993 aggregate economic activity was measured and projected on the basis of Gross National Product (GNP) as opposed to Gross Domestic Product (GDP). For the period from 1984 through 2004, nominal GNP is on average approximately 0.45 percent above nominal GDP.

450

US--Federal Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)  

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

Gross Withdrawals (Million Cubic Feet) Gross Withdrawals (Million Cubic Feet) US--Federal Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,932,196 4,355,742 4,822,114 1980's 4,902,354 4,990,667 4,772,873 4,182,233 4,706,782 4,185,519 4,185,515 4,671,801 4,746,664 4,771,411 1990's 5,046,660 4,849,657 4,771,744 4,765,865 4,996,197 4,942,089 5,246,422 5,315,514 5,185,312 5,130,746 2000's 5,043,769 5,136,962 4,615,443 4,505,443 4,055,340 3,204,906 2,954,538 2,858,713 2,374,857 2,485,331 2010's 2,300,344 1,867,492 1,555,138 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

451

Housing as basis for sustainable consumption  

Science Journals Connector (OSTI)

An important element in the discussion regarding sustainable development in our part of the world is directed towards the large growth in private consumption, and the clash of interests that arises between this growth and sustainable development requirements. A considerable part of private consumption can be related to our houses and the living situations of which they are part. It is of considerable interest to obtain more knowledge about the variations in patterns and volumes of consumption between different living situations, as well as to explore the important factors behind these variations. The acquisition of this type of empirical knowledge is an important aim in the present study. It is based on the superior thesis that it is possible through land use and housing planning to achieve substantial changes in living situations and thus contribute to a development in a direction of ''sustainable production and consumption''. The article first sums up the state-of-art regarding research on relations between physical planning, household consumption and environment. A theoretical framework and the methods applied in a Norwegian research project acquiring new empirical knowledge into these relations are also presented. The project was intended to be finished by the end of year 2000. Parts of the investigations are, however, completed and the material has been analysed. Two different types of urban structure, Oslo and a small rural town, are included in the investigations. The article presents some of the findings and relates them to former research.

Karl Georg Hoyer; Erling Holden

2001-01-01T23:59:59.000Z

452

Energy Consumption of Die Casting Operations  

SciTech Connect

Molten metal processing is inherently energy intensive and roughly 25% of the cost of die-cast products can be traced to some form of energy consumption [1]. The obvious major energy requirements are for melting and holding molten alloy in preparation for casting. The proper selection and maintenance of melting and holding equipment are clearly important factors in minimizing energy consumption in die-casting operations [2]. In addition to energy consumption, furnace selection also influences metal loss due to oxidation, metal quality, and maintenance requirements. Other important factors influencing energy consumption in a die-casting facility include geographic location, alloy(s) cast, starting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting form of alloy (solid or liquid), overall process flow, casting yield, scrap rate, cycle times, number of shifts per day, days of operation per month, type and size of die-casting machine, related equipment (robots, trim presses), and downstream processing (machining, plating, assembly, etc.). Each of these factors also may influence the casting quality and productivity of a die-casting enterprise. In a die-casting enterprise, decisions regarding these issues are made frequently and are based on a large number of factors. Therefore, it is not surprising that energy consumption can vary significantly from one die-casting enterprise to the next, and within a single enterprise as function of time.

Jerald Brevick; clark Mount-Campbell; Carroll Mobley

2004-03-15T23:59:59.000Z

453

Driving factors of non-commercial biomass consumption: a multivariate approach  

Science Journals Connector (OSTI)

The rising global energy requirement, which is driven mainly by population and economic growth, plays a critical role in the world's economic and social development. Different levels and patterns of energy use reflect various developmental stages of countries' economies, including biomass as an important element of the global energy framework. This paper provides an assessment of the relative importance of commercial energy and biomass as elements contributing to overall economic activity. Similarities and differences are identified in the structure of energy use among countries by establishing country groupings using cluster techniques and quantifying the patterns with factor analysis. Multi-dimensional clustering of the countries is presented based on the biomass consumption related parameters such as gross domestic product (GDP) per capita, commercial energy consumption per capita, urbanisation and industrialisation levels. After describing major clusters in 1970 and 1995, the characterisation of clusters identified through the factor analysis is summarised to show the relative importance of various factors within the considered structure. Discussions on the structural changes within the selected period conclude the paper.

Jan Ban; Nadir Guerer

2001-01-01T23:59:59.000Z

454

Distribution and food habits of the inland silverside, Menidia beryllina, and the northern brook silverside, Labidesthes sicculus, in Lake Conroe, Texas  

E-Print Network (OSTI)

species in seine catches varied similarly among the stations. Stations with gradual offshore slopes and sandy sediments had the greatest catches of both silverside species. Inland silverside abundance showed significant temporal variation due...-lm), offshore (0-1m) and offshore (0-2m). Density of zooplankters was greatest in the offshore samples, but little variation among stations occurred. Sididae was the j* pl kt*t h i h~1, hil ~Ctd*h' th major zooplankter in the offshore samples. Selectivity...

Morris, Joseph Eugene

2012-06-07T23:59:59.000Z

455

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

7A. Total District Heat Consumption and Expenditures for All Buildings, 2003 7A. Total District Heat Consumption and Expenditures for All Buildings, 2003 All Buildings Using District Heat District Heat Consumption District Heat Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) Total (million dollars) All Buildings ................................ 67 5,576 83 636 7,279 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ Q Q Q Q Q 5,001 to 10,000 .............................. Q Q Q Q Q 10,001 to 25,000 ............................ 18 289 16 Q Q 25,001 to 50,000 ............................ 10 369 35 Q Q 50,001 to 100,000 .......................... 8 574 70 Q Q 100,001 to 200,000 ........................ 9 1,399 148 165 Q

456

International Energy Outlook 2001 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

World Energy Consumption World Energy Consumption picture of a printer Printer Friendly Version (PDF) This report presents international energy projections through 2020, prepared by the Energy Information Administration, including outlooks for major energy fuels and issues related to electricity, transportation, and the environment. The International Energy Outlook 2001 (IEO2001) presents the Energy Information Administration (EIA) outlook for world energy markets to 2020. Current trends in world energy markets are discussed in this chapter, followed by a presentation of the IEO2001 projections for energy consumption by primary energy source and for carbon emissions by fossil fuel. Uncertainty in the forecast is highlighted by an examination of alternative assumptions about economic growth and their impacts on the

457

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

3A. Total Natural Gas Consumption and Expenditures in All Buildings, 2003 3A. Total Natural Gas Consumption and Expenditures in All Buildings, 2003 All Buildings Using Natural Gas Natural Gas Consumption Natural Gas Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) Total (billion cubic feet) Total (million dollars) All Buildings ................................ 2,538 48,473 19.1 2,100 2,037 16,010 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 1,134 3,175 2.8 257 249 2,227 5,001 to 10,000 .............................. 531 3,969 7.5 224 218 1,830 10,001 to 25,000 ............................ 500 7,824 15.6 353 343 2,897 25,001 to 50,000 ............................ 185 6,604 35.8 278 270 2,054

458

US Mnt(N) CO Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

Mnt(N) CO Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in Colorado are 23% less than the national average, primarily due to historically lower natural gas prices in the state. * Average electricity consumption per household is lower than most other states, as Colorado residents do not commonly use electricity for main space heating, air

459

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

8A. District Heat Consumption and Expenditure Intensities for All Buildings, 2003 8A. District Heat Consumption and Expenditure Intensities for All Buildings, 2003 District Heat Consumption District Heat Expenditures per Building (million Btu) per Square Foot (thousand Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All Buildings ................................ 9,470 113.98 108.4 1.31 11.45 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ Q Q Q Q Q 5,001 to 10,000 .............................. Q Q Q Q Q 10,001 to 25,000 ............................ Q Q Q Q Q 25,001 to 50,000 ............................ Q Q Q Q Q 50,001 to 100,000 .......................... Q Q Q Q Q 100,001 to 200,000 ........................ 17,452 118.10 Q Q Q

460

US Mnt(N) CO Site Consumption  

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

Mnt(N) CO Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in Colorado are 23% less than the national average, primarily due to historically lower natural gas prices in the state. * Average electricity consumption per household is lower than most other states, as Colorado residents do not commonly use electricity for main space heating, air

Note: This page contains sample records for the topic "gross inland consumption" 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

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

3A. Total Fuel Oil Consumption and Expenditures for All Buildings, 2003 3A. Total Fuel Oil Consumption and Expenditures for All Buildings, 2003 All Buildings Using Fuel Oil Fuel Oil Consumption Fuel Oil Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) Total (million gallons) Total (million dollars) All Buildings ................................ 465 16,265 35 228 1,644 1,826 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 211 606 3 34 249 292 5,001 to 10,000 .............................. 102 736 7 36 262 307 10,001 to 25,000 ............................ 66 1,043 16 28 201 238 25,001 to 50,000 ............................ 24 895 38 17 124 134 50,001 to 100,000 .......................... 25 1,852 76 29 209 229

462

Monitoring and Management of Refinery Energy Consumption  

E-Print Network (OSTI)

the effects of same other nOl1"operational variables on the energy target. Figure 10 shows the results of the monitoring period in rep;Jrt form. The actual consumption for each utility is listed and converted to energy content. The base target consumption... ===============~===~.========.=.=====.=========~====================~===== ENERGY TOTAL CONTENT ENEF~GY ACTW~L CONSUMPT I ON UI\\lITS BTU/UI\\lIT MMBTU/DAY FUEL G?\\S: 441425.0 SCFH 1401.0 14842.5 FUEL OIL: O.C' BPO 6470000.0 0.0 HP STEAI1: -79344.0 tt/Hf~ 1136. C' -2163.2 MP STEAI1: 48488.0 tt/HR 952.0 1107.9 LP STEAM: BFW...

Pelham, R. O.; Moriarty, R. D.; Hudgens, P. D.

463

The European land and inland water CO2, CO, CH4 and N2O balance between 2001 and 2005  

SciTech Connect

Globally, terrestrial ecosystems have absorbed about 30% of anthropogenic greenhouse gas emissions over the period 2000-2007 and inter-hemispheric gradients indicate that a significant fraction of terrestrial carbon sequestration must be north of the Equator. We present a compilation of the CO{sub 2}, CO, CH{sub 4} and N{sub 2}O balances of Europe following a dual constraint approach in which (1) a land-based balance derived mainly from ecosystem carbon inventories and (2) a land-based balance derived from flux measurements are compared to (3) the atmospheric data-based balance derived from inversions constrained by measurements of atmospheric GHG (greenhouse gas) concentrations. Good agreement between the GHG balances based on fluxes (1294 {+-} 545 Tg C in CO{sub 2}-eq yr{sup -1}), inventories (1299 {+-} 200 Tg C in CO{sub 2}-eq yr{sup -1}) and inversions (1210 {+-} 405 Tg C in CO{sub 2}-eq yr{sup -1}) increases our confidence that the processes underlying the European GHG budget are well understood and reasonably sampled. However, the uncertainty remains large and largely lacks formal estimates. Given that European net land to atmosphere exchanges are determined by a few dominant fluxes, the uncertainty of these key components needs to be formally estimated before efforts could be made to reduce the overall uncertainty. The net land-to-atmosphere flux is a net source for CO{sub 2}, CO, CH{sub 4} and N{sub 2}O, because the anthropogenic emissions by far exceed the biogenic sink strength. The dual-constraint approach confirmed that the European biogenic sink removes as much as 205 {+-} 72 Tg C yr{sup -1} from fossil fuel burning from the atmosphere. However, This C is being sequestered in both terrestrial and inland aquatic ecosystems. If the C-cost for ecosystem management is taken into account, the net uptake of ecosystems is estimated to decrease by 45% but still indicates substantial C-sequestration. However, when the balance is extended from CO{sub 2} towards the main GHGs, C-uptake by terrestrial and aquatic ecosystems is offset by emissions of non-CO{sub 2} GHGs. As such, the European ecosystems are unlikely to contribute to mitigating the effects of climate change.

Luyassaert, S [CEA-CNRS-UVSQ, LSCE; Abril, G [Laboratoire EPOC, CNRS; Andres, Robert Joseph [ORNL; Bastviken, D [Linkoping University; Bellassen, V [CEA-CNRS-UVSQ, LSCE; Bergamaschi, P [European Commission Joint Research Centre; Bousquet, P [CEA-CNRS-UVSQ, LSCE; Chevallier, F [CEA-CNRS-UVSQ, LSCE; Ciais, P. [LSCE/CEA, Gif-sur-Yvette, France; Corazza, M [European Commission Joint Research Centre; Dechow, R [Johann Heinrich von Thünen Institute; Erb, K-H [Alpen-Adria Universitaet Klagenfurt-Vienna-Graz; Etiope, G [Istituto Nazionale di Geofisica e Vulcanologia; Fortems-Cheiney, A [CEA-CNRS-UVSQ, LSCE; Grassi, G [European Commission Joint Research Centre; Hartmann, J [University of Hamburg; Jung, M. [Max Planck Institute for Biogeochemistry; Lathiere, J [CEA-CNRS-UVSQ, LSCE; Lohila, A [Finnish Meteorological institute; Mayorga, E [University of Washington; Moosdorf, N [University of Hamburg; Njakou, D [University of Antwerp; Otto, J [CEA-CNRS-UVSQ, LSCE; Papale, D. [University of Tuscia; Peters, W [Wageningen University and Research Centre, The Netherlands; Peylin, P [CEA-CNRS-UVSQ, LSCE; Raymond, Peter A [Yale School of Forestry and Environmental Studies; Rodenbeck, C [Max Planck Institute for Biogeochemistry; Saarnio, S [University of Eastern Finland; Schulze, E.-D. [Max Planck Institute for Biogeochemistry; Szopa, S [CEA-CNRS-UVSQ, LSCE; Thompson, R [CEA-CNRS-UVSQ, LSCE; Verkerk, P [European Forest Institute; Vuichard, N [CEA-CNRS-UVSQ, LSCE; Wang, R [Peking University; Wattenbach, M [Helmholtz Centre Potsdam GFZ German Research Centre For Geosciences; Zaehle, S [Max Planck Institute for Biogeochemistry

2012-01-01T23:59:59.000Z

464

Estimates of US biofuels consumption, 1990  

SciTech Connect

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

Not Available

1991-10-01T23:59:59.000Z

465

Inland capture fisheries  

Science Journals Connector (OSTI)

...synthesis and critical review. International water management institute...Report No.15, Colombo, Sri Lanka, 45pp. Nguyen Khoa...Valdimarsson, G. 2003 International fish trade. Presentation...the expert consultation on international fish trade and food security...

2010-01-01T23:59:59.000Z

466

LifeCycle Water Consumption of  

E-Print Network (OSTI)

of agricultural consumption · Analytical tools development #12;· 1/3 of Less Developed Countries predicted to have insufficient water resources to meet their needs by 2025 · Agriculture = 70% of withdrawn water ­ LCAbased policies ­ CA LCFS 3. But a good GHG LCA does not a responsible product make "Sustainability

Keller, Arturo A.

467

Coal consumption and economic growth in China  

Science Journals Connector (OSTI)

The aim of this paper is to re-examine the relationship between coal consumption and real GDP of China with the use of panel data. This paper applies modern panel data techniques to help shed light on the importance of the heterogeneity among different regions within China. Empirical analyses are conducted for the full panel as well as three subgroups of the panel. The empirical results show that coal consumption and GDP are both I(1) and cointegrated in all regional groupings. Heterogeneity is found in the GDP equation of the full panel. The regional causality tests reveal that the coal consumption–GDP relationship is bidirectional in the Coastal and Central regions whereas causality is unidirectional from GDP to coal consumption in the Western region. Thus, energy conservation measures will not adversely affect the economic growth of the Western region but such measures will likely encumber the economy of the Coastal and Central regions, where most of the coal intensive industries are concentrated.

Raymond Li; Guy C.K. Leung

2012-01-01T23:59:59.000Z

468

Organotin intake through fish consumption in Finland  

SciTech Connect

Background: Organotin compounds (OTCs) are a large class of synthetic chemicals with widely varying properties. Due to their potential adverse health effects, their use has been restricted in many countries. Humans are exposed to OTCs mostly through fish consumption. Objectives: The aim of this study was to describe OTC exposure through fish consumption and to assess the associated potential health risks in a Finnish population. Methods: An extensive sampling of Finnish domestic fish was carried out in the Baltic Sea and freshwater areas in 2005-2007. In addition, samples of imported seafood were collected in 2008. The chemical analysis was performed in an accredited testing laboratory during 2005-2008. Average daily intake of the sum of dibutyltin (DBT), tributyltin (TBT), triphenyltin (TPhT) and dioctyltin (DOT) ({Sigma}OTCs) for the Finnish population was calculated on the basis of the measured concentrations and fish consumption rates. Results: The average daily intake of {Sigma}OTCs through fish consumption was 3.2 ng/kg bw day{sup -1}, which is 1.3% from the Tolerable Daily Intake (TDI) of 250 ng/kg bw day{sup -1} set by the European Food Safety Authority. In total, domestic wild fish accounted for 61% of the {Sigma}OTC intake, while the intake through domestic farmed fish was 4.0% and the intake through imported fish was 35%. The most important species were domestic perch and imported salmon and rainbow trout. Conclusions: The Finnish consumers are not likely to exceed the threshold level for adverse health effects due to OTC intake through fish consumption.

Airaksinen, Riikka, E-mail: Riikka.Airaksinen@thl.fi [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland)] [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland); Rantakokko, Panu; Turunen, Anu W.; Vartiainen, Terttu [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland)] [National Institute for Health and Welfare, Department of Environmental Health, P.O. Box 95, FI-70701 Kuopio (Finland); Vuorinen, Pekka J.; Lappalainen, Antti; Vihervuori, Aune [Finnish Game and Fisheries Research Institute, Helsinki (Finland)] [Finnish Game and Fisheries Research Institute, Helsinki (Finland); Mannio, Jaakko [Finnish Environment Institute, Helsinki (Finland)] [Finnish Environment Institute, Helsinki (Finland); Hallikainen, Anja [Finnish Food Safety Authority Evira, Helsinki (Finland)] [Finnish Food Safety Authority Evira, Helsinki (Finland)

2010-08-15T23:59:59.000Z

469

Modulational instability of a modified Gross-Pitaevskii equation with higher-order nonlinearity  

Science Journals Connector (OSTI)

We consider the modulational instability (MI) of Bose-Einstein condensate (BEC) described by a modified Gross-Pitaevskii (GP) equation with higher-order nonlinearity both analytically and numerically. A new explicit time-dependent criterion for exciting the MI is obtained. It is shown that the higher-order term can either suppress or enhance the MI, which is interesting for control of the system, instability. Importantly, we predict that with the help of the higher-order nonlinearity, the MI can also take place in a BEC with repulsively contact interactions. The analytical results are confirmed by direct numerical simulations.

Xiu-Ying Qi and Ju-Kui Xue

2012-07-02T23:59:59.000Z

470

A measurement of $alpha_s(Q^2)$ from the Gross-Llewellyn Smith Sum Rule  

E-Print Network (OSTI)

We extract a set of values for the Gross-Llewellyn Smith sum rule at different values of 4-momentum transfer squared ($Q^{2}$), by combining revised CCFR neutrino data with data from other neutrino deep-inelastic scattering experiments for $1 < Q^2 < 15 GeV^2/c^2$. A comparison with the order $\\alpha^{3}_{s}$ theoretical predictions yields a determination of $\\alpha_{s}$ at the scale of the Z-boson mass of $0.114 \\pm^{.009}_{.012}$. This measurement provides a new and useful test of perturbative QCD at low $Q^2$, because of the low uncertainties in the higher order calculations.

J. H. Kim; D. A. Harris

1998-08-19T23:59:59.000Z

471

Properties of the massive Gross-Neveu model with nonzero baryon and isospin chemical potentials  

Science Journals Connector (OSTI)

The properties of the two-flavored Gross-Neveu model with nonzero current quark mass are investigated in the (1+1)-dimensional space-time at finite isospin ?I as well as quark number ? chemical potentials and zero temperature. The consideration is performed in the limit Nc??, i.e., in the case with an infinite number of colored quarks. In the plane of parameters ?I, ? a rather rich phase structure is found, which contains phases with and without pion condensation. We have found a great variety of one-quark excitations of these phases, including gapless and gapped quasiparticles. Moreover, the mesonic mass spectrum in each phase is also investigated.

D. Ebert and K. G. Klimenko

2009-12-11T23:59:59.000Z

472

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

Table C13. Total Electricity Consumption and Expenditures for Non-Mall Buildings, 2003 All Buildings* Using Electricity Electricity Consumption Electricity Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Primary Site Total (million dollars) Total (trillion Btu) Total (trillion Btu) Total (billion kWh) All Buildings* ............................... 4,404 63,307 14.4 9,168 3,037 890 69,032 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,384 6,346 2.7 1,164 386 113 10,348 5,001 to 10,000 .............................. 834 6,197 7.4 790 262 77 7,296 10,001 to 25,000 ............................ 727 11,370 15.6 1,229 407 119 10,001

473

Table 3.1 Fuel Consumption, 2010;  

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

1 Fuel Consumption, 2010; 1 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Net Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,158 75,407 2 4 563 1 8 * 99 3112 Grain and Oilseed Milling 350 16,479 * * 118 * 6 0 45 311221 Wet Corn Milling 214 7,467 * * 51 * 5 0 25 31131 Sugar Manufacturing 107 1,218 * * 15 * 2 * 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 9,203

474

Electricity Demand and Energy Consumption Management System  

E-Print Network (OSTI)

This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

475

Energy Consumption ESPRIMO E7935 E80+  

E-Print Network (OSTI)

joined the "Green Grid" and "Climate Savers Computing" initiatives and publishes SPECpower benchmark (WOL enabled) 4) 96.7 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 348.3 MJ/year Heat Consumption (WOL enabled) 4) 103.6 kWh/year Heat dissipation, WOL enabled (MJ, 1 W = 3.6 kJ/h) 373.0 MJ

Ott, Albrecht

476

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings ................................ 178 238 104 3,788 7,286 2,521 47.0 32.7 41.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 23 27 11 346 360 218 66.6 75.8 51.9 5,001 to 10,000 .............................. 14 36 Q 321 662 Q 45.1 53.8 Q 10,001 to 25,000 ............................ 31 33 Q 796 1,102 604 39.5 29.9 Q

477

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

1A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 1A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings ................................ 201 412 431 13,124 31,858 25,200 15.3 12.9 17.1 Principal Building Activity Education ....................................... 9 55 45 806 5,378 3,687 11.1 10.2 12.2 Food Sales ..................................... 36 24 Q 747 467 Q 48.8 51.1 Q

478

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings .............................. 454 715 356 378 134 8,486 14,122 8,970 11,796 5,098 53.5 50.6 39.7 32.0 26.3 Building Floorspace (Square Feet) 1,001 to 5,000 ............................. 57 84 35 58 16 666 1,015 427 832 234 84.8 83.1 81.9 69.6 66.6 5,001 to 10,000 ........................... 50 57 33 61 17 666 1,030 639 1,243 392 75.2 54.9 51.2 49.2 44.0

479

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Total Energy Consumption by Major Fuel for All Buildings, 2003 A. Total Energy Consumption by Major Fuel for All Buildings, 2003 All Buildings Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat Primary Site All Buildings ................................ 4,859 71,658 6,523 10,746 3,559 2,100 228 636 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,586 6,922 685 1,185 392 257 34 Q 5,001 to 10,000 .............................. 948 7,033 563 883 293 224 36 Q 10,001 to 25,000 ............................ 810 12,659 899 1,464 485 353 28 Q 25,001 to 50,000 ............................ 261 9,382 742 1,199 397 278 17 Q 50,001 to 100,000 .......................... 147 10,291 913 1,579 523 277 29 Q

480

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings .............................. 137 254 189 261 202 11,300 18,549 12,374 17,064 10,894 12.1 13.7 15.3 15.3 18.5 Building Floorspace (Square Feet) 1,001 to 5,000 ............................. 19 27 14 32 23 1,210 1,631 923 1,811 903 15.7 16.4 15.0 17.8 25.8 5,001 to 10,000 ........................... 12 18 15 27 14 1,175 1,639 1,062 1,855 914 10.2 10.9 14.3 14.3 15.5

Note: This page contains sample records for the topic "gross inland consumption" 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

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings ................................ 172 234 452 185 13,899 17,725 26,017 12,541 12.4 13.2 17.4 14.7 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 14 30 52 19 1,031 1,742 2,410 1,296 13.5 17.4 21.5 14.6 5,001 to 10,000 .............................. 11 17 37 21 1,128 1,558 2,640 1,319 9.8 10.8 14.0 15.8 10,001 to 25,000 ............................ 22 33 59 28 2,094 3,317 4,746 2,338 10.4 10.0 12.5 12.1

482

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings ................................ 448 728 511 350 10,162 14,144 15,260 8,907 44.1 51.5 33.5 39.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 50 92 68 40 547 1,086 912 629 90.6 84.6 74.5 63.7 5,001 to 10,000 .............................. 39 63 69 46 661 1,064 1,439 806 59.2 59.4 48.1 57.4 10,001 to 25,000 ............................ 58 133 81 70 1,293 2,656 2,332 1,542 45.2 50.1 34.7 45.7

483

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

1A. Natural Gas Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 1A. Natural Gas Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings ................................ 467 882 688 7,144 21,928 19,401 65.4 40.2 35.5 Principal Building Activity Education ....................................... Q 137 101 419 3,629 2,997 53.9 37.6 33.7 Food Sales ..................................... 16 Q Q 339 Q Q 46.6 Q Q

484

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings ................................ 168 185 165 5,453 3,263 5,644 30.9 56.6 29.2 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 29 18 Q 334 266 363 87.9 68.5 60.2 5,001 to 10,000 .............................. 25 Q Q 545 291 514 45.6 62.7 54.4 10,001 to 25,000 ............................ 20 45 26 626 699 844 32.1 63.9 30.6

485

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings ................................ 66 254 57 5,523 13,837 3,546 12.0 18.3 16.2 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 10 28 7 821 1,233 481 12.4 22.4 15.4 5,001 to 10,000 .............................. 7 20 5 681 1,389 386 10.8 14.4 13.3 10,001 to 25,000 ............................ 9 31 12 1,204 2,411 842 7.8 12.8 14.1

486

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

4A. Fuel Oil Consumption and Expenditure Intensities for All Buildings, 2003 4A. Fuel Oil Consumption and Expenditure Intensities for All Buildings, 2003 Fuel Oil Consumption Fuel Oil Expenditures per Building (gallons) per Square Foot (gallons) per Building (thousand dollars) per Square Foot (dollars) per Gallon (dollars) All Buildings ................................ 3,533 0.10 3.9 0.11 1.11 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 1,177 0.41 1.4 0.48 1.18 5,001 to 10,000 .............................. 2,573 0.36 3.0 0.42 1.17 10,001 to 25,000 ............................ 3,045 0.19 3.6 0.23 1.18 25,001 to 50,000 ............................ 5,184 0.14 5.6 0.15 1.09 50,001 to 100,000 .......................... 8,508 0.11 9.3 0.12 1.10 100,001 to 200,000 ........................ 12,639 0.09 13.1 0.09 1.03

487

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings ................................ 141 68 117 8,634 4,165 8,376 16.3 16.3 14.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 17 7 12 696 439 857 24.1 15.7 14.0 5,001 to 10,000 .............................. 12 5 15 865 451 868 13.8 12.1 17.7 10,001 to 25,000 ............................ 16 12 16 1,493 933 1,405 11.0 13.0 11.5

488

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings ................................ 162 538 343 17,509 32,945 19,727 9.2 16.3 17.4 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 24 54 38 2,072 2,767 1,640 11.4 19.4 23.0 5,001 to 10,000 .............................. 16 41 29 1,919 3,154 1,572 8.2 13.0 18.4 10,001 to 25,000 ............................ 28 69 45 3,201 5,610 3,683 8.7 12.3 12.2

489

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh) Distribution of Building-Level Intensities (kWh/square foot) 25th Per- centile Median 75th Per- centile per Building (thousand dollars) per Square Foot (dollars) per kWh (dollars) All Buildings ................................ 226 14.9 3.8 8.8 18.1 17.9 1.18 0.079 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 48 17.8 3.8 9.0 20.0 4.4 1.63 0.092 5,001 to 10,000 .............................. 96 12.9 4.0 8.2 15.5 9.2 1.23 0.096 10,001 to 25,000 ............................ 178 11.4 3.1 7.2 15.0 15.2 0.97 0.086

490

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings ............................... 580 986 471 12,407 22,762 13,304 46.8 43.3 35.4 Building Floorspace (Square Feet) 1,001 to 5,000 ............................... 86 103 61 1,245 1,271 659 69.0 81.0 92.1 5,001 to 10,000 ............................. 57 101 60 1,154 1,932 883 49.4 52.3 67.6 10,001 to 25,000 ........................... 105 174 65 2,452 3,390 1,982 42.6 51.2 32.7

491

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North Central New England Middle Atlantic East North Central All Buildings ................................ 41 131 168 3,430 10,469 12,202 12.0 12.5 13.8 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 5 9 20 369 662 921 12.9 13.9 21.9 5,001 to 10,000 .............................. 3 8 9 360 768 877 8.4 10.4 10.8 10,001 to 25,000 ............................ Q 16 24 674 1,420 2,113 Q 11.6 11.2

492

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

5A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 5A. Fuel Oil Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Fuel Oil Consumption (million gallons) Total Floorspace of Buildings Using Fuel Oil (million square feet) Fuel Oil Energy Intensity (gallons/square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings .............................. 1,302 172 107 64 6,464 2,909 4,663 2,230 0.20 0.06 0.02 Q Building Floorspace (Square Feet) 1,001 to 10,000 ............................ 381 Q Q Q 763 Q 274 Q 0.50 Q 0.10 Q 10,001 to 100,000 ........................ 404 63 Q Q 1,806 648 985 351 0.22 0.10 Q Q Over 100,000 ............................... 517 21 45 Q 3,894 2,055 3,404 1,780 0.13 0.01 0.01 Q

493

US MidAtl NY Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MidAtl NY MidAtl NY Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl NY Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NY Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl NY Expenditures dollars ELECTRICITY ONLY average per household * New York households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in New York homes is much lower than the U.S. average, because many households use other fuels for major energy end uses like space heating, water heating, and cooking. Electricity costs are closer to the national average due to higher than average electricity prices in the state.

494

US MidAtl PA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MidAtl PA MidAtl PA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl PA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl PA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl PA Expenditures dollars ELECTRICITY ONLY average per household * Pennsylvania households consume an average of 96 million Btu per year, 8% more than the U.S. average. Pennsylvania residents also spend 16% more than the average U.S. households for energy consumed in their homes. * Average electricity consumption in Pennsylvania homes is 10,402 kWh per year, which is lower than the national average, but 58% more than New York households and 17% more than New Jersey residents.

495

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of Buildings Using Natural Gas (million square feet) Natural Gas Energy Intensity (cubic feet/square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North Central New England Middle Atlantic East North Central All Buildings ................................ 85 364 550 1,861 8,301 10,356 45.4 43.8 53.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ Q 42 69 Q 427 741 Q 98.4 92.9 5,001 to 10,000 .............................. Q 32 49 Q 518 743 Q 62.1 65.5 10,001 to 25,000 ............................ Q 47 102 Q 952 1,860 Q 49.7 54.6

496

US MidAtl PA Site Consumption  

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

MidAtl PA MidAtl PA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl PA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl PA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl PA Expenditures dollars ELECTRICITY ONLY average per household * Pennsylvania households consume an average of 96 million Btu per year, 8% more than the U.S. average. Pennsylvania residents also spend 16% more than the average U.S. households for energy consumed in their homes. * Average electricity consumption in Pennsylvania homes is 10,402 kWh per year, which is lower than the national average, but 58% more than New York households and 17% more than New Jersey residents.

497

US MidAtl NY Site Consumption  

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

MidAtl NY MidAtl NY Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl NY Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NY Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl NY Expenditures dollars ELECTRICITY ONLY average per household * New York households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in New York homes is much lower than the U.S. average, because many households use other fuels for major energy end uses like space heating, water heating, and cooking. Electricity costs are closer to the national average due to higher than average electricity prices in the state.

498

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 . Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 All Buildings* Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat Primary Site All Buildings* ............................... 4,645 64,783 5,820 9,168 3,037 1,928 222 634 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,552 6,789 672 1,164 386 250 34 Q 5,001 to 10,000 .............................. 889 6,585 516 790 262 209 36 Q 10,001 to 25,000 ............................ 738 11,535 776 1,229 407 309 27 Q 25,001 to 50,000 ............................ 241 8,668 673 1,058 350 258 16 Q 50,001 to 100,000 .......................... 129 9,057 759 1,223 405 244 26 Q

499

Trends in U.S. Residential Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Trends in U.S. Residential Natural Gas Consumption Trends in U.S. Residential Natural Gas Consumption This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009). It examines a long-term downward per- customer consumption trend and analyzes whether this trend persists across Census Divisions. The report also examines some of the factors that have contributed to the decline in per-customer consumption. To provide a more meaningful measure of per-customer consumption, EIA adjusted consumption data presented in the report for weather. Questions or comments on the contents of this article should be directed to Lejla Alic at Lejla.Alic@eia.doe.gov or (202) 586-0858.

500

Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

State Plan to Reduce State Plan to Reduce Petroleum Consumption to someone by E-mail Share Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Facebook Tweet about Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Twitter Bookmark Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Google Bookmark Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Delicious Rank Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on Digg Find More places to share Alternative Fuels Data Center: State Plan to Reduce Petroleum Consumption on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type State Plan to Reduce Petroleum Consumption