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1

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

2

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

3

Energy intensity (Table E.1g)  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... E.1g World Energy Intensity--Total Primary Energy Consumption per Dollar of Gross Domestic

4

China's energy intensity and its determinants at the provincial level  

E-Print Network (OSTI)

Energy intensity is defined as the amount of energy consumed per dollar of GDP (Gross Domestic Product). The People's Republic of China's (China's) energy intensity has been declining significantly since the late 1970s. ...

Zhang, Xin, S.M. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

5

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

6

OECD energy intensity  

Science Conference Proceedings (OSTI)

to examine OECD countries' energy intensity levels (i.e., the ratio of energy ... steady-state or long-run distribution of energy intensity for the Organisation of...

7

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

8

Energy prices and energy intensity in China : a structural decomposition analysis and econometric study  

E-Print Network (OSTI)

Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., physical energy consumption per unit of Gross Domestic Product ...

Shi, Xiaoyu, M.C.P. Massachusetts Institute of Technology

2005-01-01T23:59:59.000Z

9

Energy prices and energy intensity in China : a structural decomposition analysis and econometrics study  

E-Print Network (OSTI)

Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has ...

Shi, Xiaoyu

2006-01-01T23:59:59.000Z

10

Energy Intensity Strategy  

E-Print Network (OSTI)

Our presentation will cover how we began the journey of conserving energy at our facility. Well discuss a basic layout of our energy intensity plan and the impact our team has had on the process, what tools were using, what goals have been identified, how we structured the plan to include our team in the process and so on.

Rappolee, D.

2008-01-01T23:59:59.000Z

11

Unlocking energy intensive habits  

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

energy intensive habits energy intensive habits Presentation at LBL Oct 10, 2013 by Hal Wilhite Professor and Research Director University of Oslo Centre for Development and the Environment Source: WWF US EIA Outlook 2011 Conventional framing of the energy consumption and savings * Sovereign consumers * Economically rational and persistentely reflexive. * Uninfluenced by social and material conditions of everyday life * Focus on efficiency and not on size and volume which is for the most part treated as an indifferent variable Cognitive reductionism The change of frame * From individual to socio-material * From rational/reflexive experience-based (practical) knowledge * From efficiency to reduction A theory of habit * Acknowledges the role of lived experience (history, both cultural and personal) in forming

12

Figure 52. Energy use per capita and per dollar of gross ...  

U.S. Energy Information Administration (EIA)

Title: Figure 52. Energy use per capita and per dollar of gross domestic product, 1980-2040 (index, 1980 = 1) Subject: Annual Energy Outlook 2013

13

Determinants of energy intensity in industrialized countries : a comparison of China and India  

E-Print Network (OSTI)

The amount of final energy per unit of economic output (usually in terms of gross domestic product, or GDP), known as energy intensity, is often used to measure the effectiveness of energy use and the consumption patterns ...

Huang, Feiya

2006-01-01T23:59:59.000Z

14

ITP Energy Intensive Processes: Energy-Intensive Processes Portfolio...  

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

for energy-Intensive Processes (eIP) addresses the top technology opportunities to save energy and reduce carbon emissions across the industrial sector. the portfolio focuses the...

15

energy intensity | OpenEI  

Open Energy Info (EERE)

intensity intensity Dataset Summary Description Energy intensity data and documentation published by the U.S. DOE's office of Energy Efficiency and Renewable Energy (EERE). Energy intensity is defined as: amount of energy used in producing a given level of output or activity; expressed as energy per unit of output. This is the energy intensity of the the electricity sector, which is an energy consuming sector that generates electricity. Data are organized to separate electricity-only generators from combined heat and power (CHP) generators. Data is available for the period 1949 - 2004. Source EERE Date Released May 31st, 2006 (8 years ago) Date Updated Unknown Keywords Electricity Energy Consumption energy intensity fossil fuels renewable energy Data application/vnd.ms-excel icon electricity_indicators.xls (xls, 2.1 MiB)

16

The energy space for the Gross-Pitaevskii equation with magnetic field  

E-Print Network (OSTI)

We study the energy space for the Gross-Pitaevskii equation with magnetic field and non-vanishing conditions at infinity. We provide necessary and sufficient conditions on the magnetic field for which the energy space is non-empty.

Kachmar, Ayman

2008-01-01T23:59:59.000Z

17

Table C3. Consumption and Gross Energy Intensity for Sum ...  

U.S. Energy Information Administration (EIA)

specifically for that particular end use. HVAC = Heating, Ventilation, and Air Conditioning. Due to rounding, data may not sum to totals.

18

Table C10. Consumption and Gross Energy Intensity by Climate ...  

U.S. Energy Information Administration (EIA)

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 ...

19

Table C8. Consumption and Gross Energy Intensity by Census ...  

U.S. Energy Information Administration (EIA)

West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South ...

20

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Energy Efficiency > Commercial Buildings Energy Intensities > Table 6a. U.S. Commercial Buildings Energy

Note: This page contains sample records for the topic "gross energy intensity" 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

EIA - Annual Energy Outlook 2008 (Early Release)-Energy Intensity Section  

Gasoline and Diesel Fuel Update (EIA)

Intensity Intensity Annual Energy Outlook 2008 (Early Release) Energy Intensity Figure 7. Energy use per capita and per dollar of gross domestic product, 1980-2030 (index, 1980 = 1). Need help, contact the National Energy Information Center at 202-586-8800. figure data Energy intensity, measured as energy use (in thousand Btu) per dollar of GDP (in 2000 dollars), is projected to decline at an average annual rate of 1.6 percent from 2006 to 2030 in the AEO2008 reference case (Figure 7). Although energy use generally increases as the economy grows, continuing improvement in the energy efficiency of the U.S. economy and a shift to less energy-intensive activities are projected to keep the rate of energy consumption growth lower than the rate of GDP growth. Since 1992, the energy intensity of the U.S. economy has declined on

22

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 5b

23

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 5a

24

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 7a

25

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table7c

26

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 7b

27

Changes in Energy Intensity 1985-1991  

Annual Energy Outlook 2012 (EIA)

Information Administration Home Page. Home > Energy Users > Manufacturing > Changes in Energy Intensity Changes in Energy Intensity 1985-1991 Overview Full Report The focus is...

28

Intense low energy positron beams  

Science Conference Proceedings (OSTI)

Intense positron beams are under development or being considered at several laboratories. Already today a few accelerator based high intensity, low brightness e{sup +} beams exist producing of the order of 10{sup 8} {minus} 10{sup 9} e{sup +}/sec. Several laboratories are aiming at high intensity, high brightness e{sup +} beams with intensities greater than 10{sup 9} e{sup +}/sec and current densities of the order of 10{sup 13} {minus} 10{sup 14} e{sup +} sec{sup {minus}} {sup 1}cm{sup {minus}2}. Intense e{sup +} beams can be realized in two ways (or in a combination thereof) either through a development of more efficient B{sup +} moderators or by increasing the available activity of B{sup +} particles. In this review we shall mainly concentrate on the latter approach. In atomic physics the main trust for these developments is to be able to measure differential and high energy cross-sections in e{sup +} collisions with atoms and molecules. Within solid state physics high intensity, high brightness e{sup +} beams are in demand in areas such as the re-emission e{sup +} microscope, two dimensional angular correlation of annihilation radiation, low energy e{sup +} diffraction and other fields. Intense e{sup +} beams are also important for the development of positronium beams, as well as exotic experiments such as Bose condensation and Ps liquid studies.

Lynn, K.G.; Jacobsen, F.M.

1993-12-31T23:59:59.000Z

29

Analysis and Decomposition of the Energy Intensity of Industries in  

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

and Decomposition of the Energy Intensity of Industries in and Decomposition of the Energy Intensity of Industries in California Title Analysis and Decomposition of the Energy Intensity of Industries in California Publication Type Journal Article Year of Publication 2012 Authors de la du Can, Stephane Rue, Ali Hasanbeigi, and Jayant A. Sathaye Journal Energy Policy Volume 46 Pagination 234-245 Keywords california, co2 emissions, energy intensity, energy use Abstract In 2008, the gross domestic product (GDP) of California industry was larger than GDP of industry in any other U.S. states. This study analyses the energy use of and output from seventeen industry subsectors in California and performs decomposition analysis to assess the influence of different factors on California industry energy use. The logarithmic mean Divisia index method is used for the decomposition analysis. The decomposition analysis results show that the observed reduction of energy use in California industry since 2000 is the result of two main factors: the intensity effect and the structural effect. The intensity effect has started pushing final energy use downward in 2000 and has since amplified. The second large effect is the structural effect. The significant decrease of the energy-intensive "Oil and Gas Extraction" subsector's share of total industry value added, from 15% in 1997 to 5% in 2008, and the increase of the non-energy intensive "Electric and electronic equipment manufacturing" sector's share of value added, from 7% in 1997 to 30% in 2008, both contributed to a decrease in the energy intensity in the industry sector

30

Energy-Efficiency Technologies and Benchmarking the Energy Intensity...  

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

Energy-Efficiency Technologies and Benchmarking the Energy Intensity for the Textile Industry Title Energy-Efficiency Technologies and Benchmarking the Energy Intensity for the...

31

Iron and Steel Energy Intensities  

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

If you are having trouble, call 202-586-8800 for help. Home > >Energy Users > Energy Efficiency Page > Iron and Steel Energy Intensities First Use of Energy Blue Bullet First Use/Value of Production Blue Bullet First Use/Ton of steel End Uses of Consumption Blue Bullet Total End Use/Value of Production Blue Bullet Total End Use/Ton of Steel Boiler Fuel as End Use Blue Bullet Boiler Fuel /Value of Production Blue Bullet Boiler Fuel /Ton of Steel Process Heating as End Use Blue Bullet Process Heating Fuel /Ton of Steel Blue Bullet Process Heating /Value of Production Machine Drive as End Use Blue Bullet Machine Drive Fuel/Ton of Steel Blue Bullet Machine Drive Fuel /Value of Production Expenditures Blue Bullet Purchased Fuel /Ton of Steel Blue Bullet Purchased Fuel /Value of Production

32

Energy use and intensity in the industrial sector, 1972 - 1991  

SciTech Connect

Energy use in the United States is substantially lower now than it would have been had energy intensities not fallen after the oil price shocks of the 1970s. The United States would have consumed over 30 quadrillion Btu (QBtu) more energy in 1991 if the energy-GDP ratio (energy divided by gross domestic product) had remained at its 1972 value. Much of this improvement has stemmed from developments within the industrial sector. This paper examines industrial energy use from two perspectives. First, the contribution of the industrial sector to the decline in the overall energy-GDP ratio is estimated. Second, the components of change in conservation trends within the industrial sector are examined. This part of the analysis identifies the change in overall industrial intensity (total energy consumption/total industrial output) that is due to improvements in energy intensity at the individual industry level in comparison to various aspects of the composition of industrial output. This paper is based upon recent work conducted by Pacific Northwest Laboratory for the Office of Energy Efficiency and Alternative Fuels Policy, U.S. Department of Energy. Discussion of other end-use sectors and some additional analysis of industrial sector energy trends is found in Energy Conservation Trends - Understanding the Factors Affecting Conservation Gains and their Implications for Policy Development.

Belzer, D.B.

1995-08-01T23:59:59.000Z

33

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Table 7c. U.S. Commercial Buildings Energy Intensity Using Primary Energy 1 by Census Region and Principal Building Activity, 1992-1999 (Million Btu per Worker)

34

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Energy Efficiency > Commercial Buildings Energy Intensities > Table 6b . ... Warehouse and Storage 42: 38 45: Other: 3. 154: 170 163: Vacant 28: 21 21: Total ...

35

Property:CoolingTowerWaterUseSummerGross | Open Energy Information  

Open Energy Info (EERE)

Property Name CoolingTowerWaterUseSummerGross Property Type Number Description Cooling Tower Water use (summer average) (afday) Gross. Retrieved from "http:en.openei.orgw...

36

Description of Energy Intensity Tables (12)  

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

3. Description of Energy Intensity Data Tables 3. Description of Energy Intensity Data Tables There are 12 data tables used as references for this report. Specifically, these tables are categorized as tables 1 and 2 present unadjusted energy-intensity ratios for Offsite-Produced Energy and Total Inputs of Energy for 1985, 1988, 1991, and 1994; along with the percentage changes between 1985 and the three subsequent years (1988, 1991, and 1994) tables 3 and 4 present 1988, 1991, and 1994 energy-intensity ratios that have been adjusted to the mix of products shipped from manufacturing establishments in 1985 tables 5 and 6 present unadjusted energy-intensity ratios for Offsite-Produced Energy and Total Inputs of Energy for 1988, 1991, and 1994; along with the percentage changes between 1988 and the two subsequent

37

Property:CoolingTowerWaterUseAnnlAvgGross | Open Energy Information  

Open Energy Info (EERE)

Property Name CoolingTowerWaterUseAnnlAvgGross Property Type Number Description Cooling Tower Water use (annual average) (afday) Gross. Retrieved from "http:en.openei.orgw...

38

ESMAP-China Energy Intensity Reduction Strategy | Open Energy Information  

Open Energy Info (EERE)

Intensity Reduction Strategy Intensity Reduction Strategy Jump to: navigation, search Name China-ESMAP Low Carbon Growth Country Studies Program Agency/Company /Organization Energy Sector Management Assistance Program of the World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Forestry, Agriculture Topics Low emission development planning, Policies/deployment programs, Background analysis Website http://www.esmap.org/filez/pub Country China Eastern Asia References China Energy Intensity Reduction Strategy[1] Overview "The study involves the development of pragmatic "implementation" focused policy notes to support the Government of China's goal of reducing energy intensity in China focusing on: Reevaluation of renewable energy targets, growth path, and related

39

Technical Change, Investment and Energy Intensity  

E-Print Network (OSTI)

This paper analyzes the role of different components of technical change on energy intensity by applying a Translog variable cost function setting to the new EU KLEMS dataset for 3 selected EU countries (Italy, Finland and ...

Kratena, Kurt

40

Energy End-Use Intensities in Commercial Buildings 1989  

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

9 Energy End-Use Intensities 1989 Energy End-Use Intensities Overview Full Report Tables National estimates and analysis of energy consumption by fuel (electricity, natural gas,...

Note: This page contains sample records for the topic "gross energy intensity" 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

EIA Energy Efficiency-Commercial Buildings Sector Energy Intensities,  

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

Commercial Buildings Sector Energy Intensities Commercial Buildings Sector Energy Intensities Commercial Buildings Sector Energy Intensities: 1992- 2003 Released Date: December 2004 Page Last Revised: August 2009 These tables provide estimates of commercial sector energy consumption and energy intensities for 1992, 1995, 1999 and 2003 based on the Commercial Buildings Energy Consumption Survey (CBECS). They also provide estimates of energy consumption and intensities adjusted for the effect of weather on heating, cooling, and ventilation energy use. Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF bullet By Principal Building Activity (Table 1a) html Table 1a excel table 1a. pdf table 1a. Weather-Adjusted by Principal Building Activity (Table 1b) html table 1b excel table 1b pdf table 1b.

42

What is energy use intensity (EUI)? | ENERGY STAR  

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

buildings Use Portfolio Manager How Portfolio Manager calculates metrics What is energy use intensity (EUI)? Secondary menu About us Press room Contact Us Portfolio...

43

Analysis of the Energy Intensity of Industries in California  

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

of the Energy Intensity of Industries in California Title Analysis of the Energy Intensity of Industries in California Publication Type Conference Proceedings Year of Publication...

44

DRAFT DO NOT QUOTE Energy Prices and Energy Intensity in China: A Structural Decomposition Analysis and Econometrics Study  

E-Print Network (OSTI)

Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has declined dramatically, by about 70%, in spite of increases in energy consumption. Is this just a coincidence? Or does a systematic relationship exist between energy prices and energy intensity? In this study, we examine whether and how Chinas energy price changes affect its energy intensity trend during 1980-2002 at a macro level. We conduct the research by using two complementary economic models: the input-output-based structural decomposition analysis (SDA) and econometric regression models and by using a decomposition method of own-price elasticity of energy intensity. Findings include a negative own-price elasticity of energy intensity, a price-inducement effect on energyefficiency improvement, and a greater sensitivity (in terms of the reaction of energy intensity towards changes in energy prices) of the industry sector, compared to the overall economy. Analysts can use these results as a starting point for China's energy and carbon

Xiaoyu Shi; Karen R. Polenske; Xiaoyu Shi; Karen R. Polenske

2005-01-01T23:59:59.000Z

45

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.

46

EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...  

Gasoline and Diesel Fuel Update (EIA)

e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

47

Purchased Energy, Energy Intensity, and Policy Impacts in the...  

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

Purchased Energy, Energy Intensity, and Policy Impacts in the U.S. Manufacturing Sector: Tentative Findings Speaker(s): Marvin J. Horowitz Date: July 8, 2011 - 12:00pm Location:...

48

China energy issues : energy intensity, coal liquefaction, and carbon pricing  

E-Print Network (OSTI)

In my dissertation I explore three independent, but related, topics on China's energy issues. First, I examine the drivers for provincial energy-intensity trends in China, and finds that technology innovation is the key ...

Wu, Ning, Ph. D. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

49

Energy End-Use Intensities in Commercial Buildings  

Annual Energy Outlook 2012 (EIA)

2 Distribution Category UC-950 Energy Consumption Series Energy End-Use Intensities in Commercial Buildings September 1994 Energy Information Administration Office of Energy...

50

Table 22. Energy Intensity, Projected vs. Actual  

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

Energy Intensity, Projected vs. Actual" Energy Intensity, Projected vs. Actual" "Projected" " (quadrillion Btu / real GDP in billion 2005 chained dollars)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",11.24893441,11.08565002,10.98332766,10.82852279,10.67400621,10.54170176,10.39583203,10.27184573,10.14478673,10.02575883,9.910410202,9.810812106,9.69894802,9.599821783,9.486985399,9.394733753,9.303329725,9.221322623 "AEO 1995",,10.86137373,10.75116461,10.60467959,10.42268977,10.28668187,10.14461664,10.01081222,9.883759026,9.759022105,9.627404949,9.513643295,9.400418762,9.311729546,9.226142899,9.147374752,9.071102491,8.99599906 "AEO 1996",,,10.71047701,10.59846153,10.43655044,10.27812088,10.12746866,9.9694713,9.824165152,9.714832565,9.621874334,9.532324916,9.428169355,9.32931308,9.232716414,9.170931044,9.086870061,9.019963901,8.945602337

51

Federal Energy Management Program: Utility Energy Service Contract...  

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

gross square foot. Patrick Air Force Base: Base-wide energy program implemented to exceed energy intensity reduction goals and requirements. U.S. Department of Energy Fermi...

52

Energy End-Use Intensities in Commercial Buildings 1992 - Index...  

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

2 Energy End-Use Intensities 1992 Energy End-Use Intensities Overview Tables National estimates of energy consumption by fuel (electricity and natural gas) and end use (heating,...

53

Energy End-Use Intensities in Commercial Buildings  

U.S. Energy Information Administration (EIA)

DOE/EIA-0555(94)/2 Distribution Category UC-950 Energy Consumption Series Energy End-Use Intensities in Commercial Buildings September 1994 Energy Information ...

54

A comparison of energy intensity in the United States and Japan  

SciTech Connect

This report compares energy intensity in the US and Japan in 1985. Energy intensity is examined for each of the following end-use energy consuming sectors: residential and commercial, transportation, and industrial (manufacturing). In each sector, comparative measures of the relative energy intensity are developed. The comparison indicates that when adjustments are made for certain differences between the two countries, energy intensity in the US compares more favorably with Japan than when just the aggregate energy-to-gross-domestic-product ratio is used. For instance, climate and residential floor space explain a good portion of the difference between residential energy consumption in the US and Japan. Likewise, although the US requires about twice as much energy for passenger travel, it requires about half the energy for freight movement (when normalized for distance and vehicle capacity) compared with Japan. Finally, the US manufacturing sector, as a whole, is about equal to Japan in terms of the amount of energy consumed in producing a dollar's worth of goods, in current dollars and using 1985 exchange rates. 53 refs.

McDonald, S.C.

1990-12-01T23:59:59.000Z

55

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.

56

Table C10A. Consumption and Gross Energy Intensity by Climate Zone ...  

U.S. Energy Information Administration (EIA)

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 ...

57

Table C5. Consumption and Gross Energy Intensity by Census Region ...  

U.S. Energy Information Administration (EIA)

Wall Material Brick, Stone or Stucco ..... 770 1,005 1,009 403 7,248 9,248 11,574 4,747 106.2 108.7 87.2 84.8 Concrete (Block ... Wall or Roof Replacement ...

58

Table C9A. Consumption and Gross Energy Intensity by Census ...  

U.S. Energy Information Administration (EIA)

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 ...

59

Table C11. Consumption and Gross Energy Intensity by Building Size ...  

U.S. Energy Information Administration (EIA)

Insulation Upgrade ..... 46 150 184 640 1,655 1,719 72.6 90.6 107.1 Other Renovation ..... Q Q Q Q Q Q Q Q Q No Renovations Since 1980 ...

60

Energy Intensity Indicators in the U.S.: Electricity Sector ...  

Open Energy Info (EERE)

Intensity Indicators in the U.S.: Electricity Sector (1949 - 2004) Energy intensity data and documentation published by the U.S. DOE's office of Energy Efficiency and Renewable...

Note: This page contains sample records for the topic "gross energy intensity" 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

Energy use and energy intensity of the U.S. chemical industry  

E-Print Network (OSTI)

of Chlorine Making US energy statistics only report energya weighted-average US energy intensity. The intensity valuesProcess Stage The US Manufacturing Energy Consumption survey

Worrell, Ernst; Phylipsen, Dian; Einstein, Dan; Martin, Nathan

2000-01-01T23:59:59.000Z

62

U.S. Commercial Buildings Weather Adjusted Site Energy Intensity  

U.S. Energy Information Administration (EIA)

Table 6c. U.S. Commercial Buildings Energy Intensity Using. Weather-Adjusted Site Energy. 1. ... Laboratory buildings are included in the "Other" category.

63

Target Allocation Methodology for China's Provinces: Energy Intensity in the 12th FIve-Year Plan  

SciTech Connect

Experience with China's 20% energy intensity improvement target during the 11th Five-Year Plan (FYP) (2006-2010) has shown the challenges of rapidly setting targets and implementing measures to meet them. For the 12th FYP (2011-2015), there is an urgent need for a more scientific methodology to allocate targets among the provinces and to track physical and economic indicators of energy and carbon saving progress. This report provides a sectoral methodology for allocating a national energy intensity target - expressed as percent change in energy per unit gross domestic product (GDP) - among China's provinces in the 12th FYP. Drawing on international experience - especially the European Union (EU) Triptych approach for allocating Kyoto carbon targets among EU member states - the methodology here makes important modifications to the EU approach to address an energy intensity rather than a CO{sub 2} emissions target, and for the wider variation in provincial energy and economic structure in China. The methodology combines top-down national target projections and bottom-up provincial and sectoral projections of energy and GDP to determine target allocation of energy intensity targets. Total primary energy consumption is separated into three end-use sectors - industrial, residential, and other energy. Sectoral indicators are used to differentiate the potential for energy saving among the provinces. This sectoral methodology is utilized to allocate provincial-level targets for a national target of 20% energy intensity improvement during the 12th FYP; the official target is determined by the National Development and Reform Commission. Energy and GDP projections used in the allocations were compared with other models, and several allocation scenarios were run to test sensitivity. The resulting allocations for the 12th FYP offer insight on past performance and offer somewhat different distributions of provincial targets compared to the 11th FYP. Recommendations for reporting and monitoring progress on the targets, and methodology improvements, are included.

Ohshita, Stephanie; Price, Lynn

2011-03-21T23:59:59.000Z

64

Target Allocation Methodology for China's Provinces: Energy Intensity in the 12th FIve-Year Plan  

E-Print Network (OSTI)

economic energy intensity as an indicator for energy savingon industrial energy intensity as an indicator of savingsindustrial energy intensity as an indicator of savings

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

65

Improving MapReduce energy efficiency for computation intensive workloads  

Science Conference Proceedings (OSTI)

MapReduce is a programming model for data intensive computing on large-scale distributed systems. With its wide acceptance and deployment, improving the energy efficiency of MapReduce will lead to significant energy savings for data centers and computational ... Keywords: intelligent DVFS scheduling, MapReduce energy efficiency, computation intensive workloads, data intensive computing, large-scale distributed systems, data centers, computational grids, energy savings, Hadoop, energy-proportional computing, resource allocation, dynamic voltage and frequency scaling, processor frequency

Thomas Wirtz; Rong Ge

2011-07-01T23:59:59.000Z

66

EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries, 1998,  

Gasoline and Diesel Fuel Update (EIA)

e e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 417 444 526 312 Beverage and Tobacco Product Manufacturing 114 128 144 313 Textile Mills 57 45 38 314 Textile Product Mills 31 30 32 315 Apparel Manufacturing 63 40 26 316 Leather and Allied Product Manufacturing 10 6 6 321 Wood Product Manufacturing 91 88 111 322 Paper Manufacturing 153 151 167 323 Printing and Related Support Activities 99 95 99 324 Petroleum and Coal Products Manufacturing 135 212 530 325 Chemical Manufacturing 407 444 639 326 Plastics and Rubber Products Manufacturing 162 169 208 327 Nonmetallic Mineral Product Manufacturing 91 94 126 331 Primary Metal Manufacturing 166 139 230 332 Fabricated Metal Product Manufacturing

67

Table 23. Energy Intensity, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual (quadrillion Btu / $Billion Nominal GDP) 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 20.1 18.5 16.9 15.5 14.4 13.2 AEO 1983 19.9 18.7 17.4 16.2 15.1 14.0 9.5 AEO 1984 20.1 19.0 17.7 16.5 15.5 14.5 10.2 AEO 1985 20.0 19.1 18.0 16.9 15.9 14.7 13.7 12.7 11.8 11.0 10.3 AEO 1986 18.3 17.8 16.8 16.1 15.2 14.3 13.4 12.6 11.7 10.9 10.2 9.5 8.9 8.3 7.8 AEO 1987 17.6 17.0 16.3 15.4 14.5 13.7 12.9 12.1 11.4 8.2 AEO 1989* 16.9 16.2 15.2 14.2 13.3 12.5 11.7 10.9 10.2 9.6 9.0 8.5 8.0 AEO 1990 16.1 15.4 11.7 8.6 6.4 AEO 1991 15.5 14.9 14.2 13.6 13.0 12.5 11.9 11.3 10.8 10.3 9.7 9.2 8.7 8.3 7.9 7.4 7.0 6.7 6.3 6.0 AEO 1992 15.0 14.5 13.9 13.3 12.7 12.1 11.6 11.0 10.5 10.0 9.5 9.0 8.6 8.1 7.7 7.3 6.9 6.6 6.2 AEO 1993 14.7 13.9 13.4 12.8 12.3 11.8 11.2 10.7 10.2 9.6 9.2 8.7 8.3 7.8 7.4 7.1 6.7 6.4

68

Energy use and carbon dioxide emissions in energy-intensive industries in key developing countries  

E-Print Network (OSTI)

rotary) Brazil China India Mexico Energy and Carbon Dioxideenergy intensity values for Brazil, China, India, and Mexico,energy intensity values for Brazil, China, India and Mexico,

Price, Lynn; Worrell, Ernst; Phylipsen, Dian

1999-01-01T23:59:59.000Z

69

Figure 60. Energy intensity of selected commercial end uses ...  

U.S. Energy Information Administration (EIA)

Refrigeration Lighting Heating, cooling, and ventilation Other 2040.00 2011.00 ... Energy intensity of selected commercial end uses, 2011 and 2040 ...

70

World Energy Intensity by Region, 1970-2020  

U.S. Energy Information Administration (EIA)

If energy intensities in the developing world are assumed to increase by 136 percentthe most rapid annual rate of increase observed between 1990 and 1997 ...

71

Opportunities to Reduce Energy and Water Intensity of Mining ...  

Science Conference Proceedings (OSTI)

Presentation Title, Opportunities to Reduce Energy and Water Intensity of Mining ... bearing on the value of mining projects and the image of the mining industry;...

72

Figure 59. Commercial delivered energy intensity in four cases ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 59. Commercial delivered energy intensity in four cases, 2005-2040 (index, 2005 = 1) Reference case 2011 Technology case

73

Figure 55. Residential delivered energy intensity in four ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 55. Residential delivered energy intensity in four cases, 2005-2035 (index, 2005 = 1) Best Available Technology case High Technology case

74

CHANGES IN ENERGY INTENSITY IN THE MANUFACTURING SECTOR  

U.S. Energy Information Administration (EIA)

DOE/EIA-0552(85-91) Changes in Energy Intensity in the Manufacturing Sector 1985-1991 September 1995 ... All telephone orders should be directed to:

75

Methodology of Energy Intensities - Appendix A  

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

Glossary Appendix A Survey Design, Implementation, and Estimates Introduction The Energy Information Administration (EIA) designed the 1994 Manufacturing Energy Consumption...

76

Energy End-Use Intensities in Commercial Buildings 1989 -- Executive  

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

9 Energy End-Use Intensities > Executive Summary 9 Energy End-Use Intensities > Executive Summary Executive Summary Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. divider line The demand for energy in U.S. stores, offices, schools, hospitals, and other commercial buildings has been increasing. This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and "other." The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand.

77

,"GOM Gross EST",,,"Louisiana Gross EST",,,"New Mexico Gross...  

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

Gross EST",,,"Wyoming Gross EST",,,"Other States Gross EST",,,"Lower 48 Gross EST",,,"Alaska Gross State Data",,,"U. S. Gross EST" ,"Initial Est","Revised Est",,"Initial...

78

Simulation Of Energy Storage In A System With Integrated Wind Yannick Degeilh, Justine Descloux, George Gross  

E-Print Network (OSTI)

Simulation Of Energy Storage In A System With Integrated Wind Resources Yannick Degeilh, Justine is key to providing the means of better harnessing wind energy potential. This paper proposes Wind is a clean and renewable source of energy with zero fuel costs. However, wind generation outputs

Gross, George

79

EIA - AEO2010 - Energy intensity trends in AEO2010  

Gasoline and Diesel Fuel Update (EIA)

intensity trends in AEO2010 intensity trends in AEO2010 Annual Energy Outlook 2010 with Projections to 2035 Figure 17. Trends in U.S. oil prices, energy consumption, and economic output, 1950-2035 Click to enlarge » Figure source and data excel logo Energy intensity trends in AEO2010 Energy intensity—energy consumption per dollar of real GDP—indicates how much energy a country uses to produce its goods and services. From the early 1950s to the early 1970s, U.S. total primary energy consumption and real GDP increased at nearly the same annual rate (Figure 17). During that period, real oil prices remained virtually flat. In contrast, from the mid-1970s to 2008, the relationship between energy consumption and real GDP growth changed, with primary energy consumption growing at less than one-third the previous average rate and real GDP growth continuing to grow at its historical rate. The decoupling of real GDP growth from energy consumption growth led to a decline in energy intensity that averaged 2.8 percent per year from 1973 to 2008. In the AEO2010 Reference case, energy intensity continues to decline, at an average annual rate of 1.9 percent from 2008 to 2035.

80

Energy Intensities for the Iron and Steel Industry (1985-1994)  

U.S. Energy Information Administration (EIA)

national level data on energy intensity issues on household energy use in the residential sector, energy intensity issues on manufacturing energy use in the ...

Note: This page contains sample records for the topic "gross energy intensity" 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 Intensity Trends in AEO2010 (released in AEO2010)  

Reports and Publications (EIA)

Energy intensity (energy consumption per dollar of real GDP) indicates how much energy a country uses to produce its goods and services. From the early 1950s to the early 1970s, U.S. total primary energy consumption and real GDP increased at nearly the same annual rate (Figure 17). During that period, real oil prices remained virtually flat. In contrast, from the mid-1970s to 2008, the relationship between energy consumption and real GDP growth changed, with primary energy consumption growing at less than one-third the previous average rate and real GDP growth continuing to grow at its historical rate. The decoupling of real GDP growth from energy consumption growth led to a decline in energy intensity that averaged 2.8 percent per year from 1973 to 2008. In the AEO2010 Reference case, energy intensity continues to decline, at an average annual rate of 1.9 percent from 2008 to 2035.

Information Center

2010-05-11T23:59:59.000Z

82

Energy End-Use Intensities in Commercial Buildings 1992  

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

Overview > Tables Overview > Tables 1992 Energy End-Use Intensities Tables Energy Consumption by End Use, 1992 Figure on Energy Consumption By End Use, 1992 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1992 Commercial Buildings Energy Consumption Survey. divider line To View and/or Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties, visit our Technical Frequently Asked Questions. divider line Tables - (file size 31,655 bytes), pages 6. - requires Adobe Acrobat Reader Consumption of All Major Fuels by End Uses, 1992 Energy End-Use Intensities for All Major Fuels, 1992 Consumption of Electricity by End Uses, 1992 Energy End-Use Intensities for Electricity, 1992

83

High-Intensity Discharge Lighting Basics | Department of Energy  

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

High-Intensity Discharge Lighting Basics High-Intensity Discharge Lighting Basics High-Intensity Discharge Lighting Basics August 15, 2013 - 5:59pm Addthis High-intensity discharge (HID) lighting provides the highest efficacy and longest service life of any lighting type. It can save 75%-90% of lighting energy when it replaces incandescent lighting. Illustration of a high-intensity discharge (HID) lIllustration amp. The lamp is a tall cylindrical shape, and a cutout of the outer tube shows the materials inside. A long, thin cylinder called the arc tube runs through the lamp between two electrodes. The space around the arc tube is labeled as a vacuum. In a high-intensity discharge lamp, electricity arcs between two electrodes, creating an intensely bright light. Mercury, sodium, or metal halide gas

84

Energy Basics: High-Intensity Discharge Lighting  

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

and longest service life of any lighting type. It can save 75%-90% of lighting energy when it replaces incandescent lighting. HID lamps use an electric arc to produce...

85

Energy Market Impacts of Alternative Greenhouse Gas Intensity Reduction Goals  

Gasoline and Diesel Fuel Update (EIA)

1 1 Energy Market Impacts of Alternative Greenhouse Gas Intensity Reduction Goals March 2006 Energy Information Administration Office of Integrated Analysis and Forecasting 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 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. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester. Energy Information Administration / Energy Market Impacts of Alternative Greenhouse Gas Intensity Reduction Goals

86

Some Intensive and Extensive Quantities in High-Energy Collisions  

E-Print Network (OSTI)

We review the evolution of some statistical and thermodynamical quantities measured in difference sizes of high-energy collisions at different energies. We differentiate between intensive and extensive quantities and discuss the importance of their distinguishability in characterizing possible critical phenomena of nuclear collisions at various energies with different initial conditions.

Tawfik, A

2013-01-01T23:59:59.000Z

87

Climate Policy Design for Energy-Intensive Industries - And The...  

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

Climate Policy Design for Energy-Intensive Industries - And The Rest of Us Speaker(s): Holmes Hummel Date: January 8, 2009 - 12:00pm Location: 90-3122 Seminar HostPoint of...

88

B. Appendix: Scaling of Cost with Energy and Intensity  

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

B. Appendix: Scaling of Cost with Energy and Intensity With the two ongoing studies, one for the physics program, 1 and one for the accelerator and facilities 2 on the...

89

Energy intensity in China's iron and steel sector  

E-Print Network (OSTI)

In this study, I examine the spatial and economic factors that influence energy intensity in China's iron and steel sector, namely industrial value added, renovation investment, coke consumption, and local coke supply. ...

Xu, Jingsi, M.C.P. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

90

Two Decades of U.S. Household Trends in Energy-Intensity ...  

U.S. Energy Information Administration (EIA)

This paper looks at two decades of energyintensity trends. Energy intensity measures are often used as a measure of energy efficiency and its change over time.

91

U.S. Residential Housing Weather-Adjusted Site Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 6b U.S. Residential Housing Weather-Adjusted Site Energy Intensity

92

Energy dispersive spectroscopy using synchrotron radiation: intensity considerations  

SciTech Connect

Detailed considerations are given to the reliability of energy dependent integrated intensity data collected from the pressure cavity of a diamond-anvil pressure cell illuminated with heterochromatic radiation from a synchrotron storage ring. It is demonstrated that at least in one run, the electron beam current cannot be used to correct for energy-intensity variations of the incident beam. Rather there appears to be an additional linear relationship between the decay of the synchrotron beam and the magnitude of the background intensity. 13 refs., 7 figs.

Skelton, E.F.; Elam, W.T.; Qadri, S.B.; Webb, A.W.; Schiferl, D.

1985-01-01T23:59:59.000Z

93

Chapter 12, Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings: The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures  

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

Chapter 12: Survey Design and Chapter 12: Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings Robert Baumgartner, Tetra Tech Subcontract Report NREL/SR-7A30-53827 April 2013 The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures 12 - 1 Chapter 12 - Table of Contents 1 Introduction ............................................................................................................................ 2 2 The Total Survey Error Framework ....................................................................................... 4 2.1 TSE Framework for Evaluating Survey and Data Quality .............................................. 4 2.2 Sampling Errors ............................................................................................................... 5

94

Industrial Sector Energy Demand: Revisions for Non-Energy-Intensive Manufacturing (released in AEO2007)  

Reports and Publications (EIA)

For the industrial sector, EIAs analysis and projection efforts generally have focused on the energy-intensive industriesfood, bulk chemicals, refining, glass, cement, steel, and aluminumwhere energy cost averages 4.8 percent of annual operating cost. Detailed process flows and energy intensity indicators have been developed for narrowly defined industry groups in the energy-intensive manufacturing sector. The non-energy-intensive manufacturing industries, where energy cost averages 1.9 percent of annual operating cost, previously have received somewhat less attention, however. In AEO2006, energy demand projections were provided for two broadly aggregated industry groups in the non-energy-intensive manufacturing sector: metal-based durables and other non-energy-intensive. In the AEO2006 projections, the two groups accounted for more than 50 percent of the projected increase in industrial natural gas consumption from 2004 to 2030.

Information Center

2007-03-11T23:59:59.000Z

95

Energy Department Announces Winner of the 2013 Better Buildings...  

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

the greatest reduction in annual energy intensity, or energy consumed per gross square foot. This year's winner cut its energy intensity by 20% and saved over 40,000 in utility...

96

Total Natural Gas Gross Withdrawals (Summary)  

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

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...

97

B. Appendix: Scaling of Cost with Energy and Intensity  

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

B. Appendix: Scaling of Cost with Energy and Intensity B. Appendix: Scaling of Cost with Energy and Intensity With the two ongoing studies, one for the physics program, [1] and one for the accelerator and facilities [2] on the "Neutrino Factory Based on a Muon Storage Ring", a number of interesting suggestions and ideas came up. Almost immediately the question of scaling cost with the storage ring energy and with intensity came up. Nevertheless, it was impossible to explore all those questions in great detail, either in the report or in the preliminary cost estimate that is presented in Appendix A. During the study it became more and more clear, that one of the unique features of a neutrino source, namely the possibility to balance the cost of the accelerator with the cost of the detector, would urge the accelerator people to find an answer to this

98

Energy Use and Energy Intensity of the U.S. Chemical Industry | ENERGY STAR  

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

Intensity of the U.S. Chemical Industry Intensity of the U.S. Chemical Industry Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

99

Energy Use and Energy Intensity of the U.S. Chemical Industry...  

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

ENERGY STAR Partner Resources You are here Home Buildings & Plants Energy Use and Energy Intensity of the U.S. Chemical Industry Secondary menu About us Press room Contact...

100

A Comparison of Iron and Steel Production Energy Use and Energy Intensity  

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

A Comparison of Iron and Steel Production Energy Use and Energy Intensity A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S. Title A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S. Publication Type Report Year of Publication 2011 Authors Hasanbeigi, Ali, Lynn K. Price, Nathaniel T. Aden, Zhang Chunxia, Li Xiuping, and Shangguan Fangqin Date Published June/2011 Publisher Lawrence Berkeley National Laboratory; Iron & Steel Research Institute, Iron and Steel Industry Keywords energy intensity, energy use, Low Emission & Efficient Industry Abstract Production of iron and steel is an energy-intensive manufacturing process. In 2006, the iron and steel industry accounted for 13.6% and 1.4% of primary energy consumption in China and the U.S., respectively (U.S. DOE/EIA, 2010a; Zhang et al., 2010). The energy efficiency of steel production has a direct impact on overall energy consumption and related carbon dioxide (CO2) emissions. The goal of this study is to develop a methodology for making an accurate comparison of the energy intensity (energy use per unit of steelproduced) of steel production. The methodology is applied to the steel industry in China and the U.S. The methodology addresses issues related to boundary definitions, conversion factors, and indicators in order industry energy use to develop a common framework for comparing steel intensity energy use.

Note: This page contains sample records for the topic "gross energy intensity" 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

A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.  

E-Print Network (OSTI)

indicators of steel sector energy efficiency and intensity.Energy intensity in the iron and steel industry: a comparison of physical and economic indicators,

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

102

Table 6a. U.S. Commercial Buildings Energy Intensity Using Weather ...  

U.S. Energy Information Administration (EIA)

U.S. Commercial Buildings Energy Intensity Using Weather-Adjusted Site Energy by Census Region and Principal Building Activity.

103

Energy end-use intensities in commercial buildings  

SciTech Connect

This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and other. The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand. The source of data for the analysis is the 1989 Commercial Buildings Energy Consumption survey (CBECS), which collected detailed data on energy-related characteristics and energy consumption for a nationally representative sample of approximately 6,000 commercial buildings. The analysis used 1989 CBECS data because the 1992 CBECS data were not yet available at the time the study was initiated. The CBECS data were fed into the Facility Energy Decision Screening (FEDS) system, a building energy simulation program developed by the US Department of Energy`s Pacific Northwest Laboratory, to derive engineering estimates of end-use consumption for each building in the sample. The FEDS estimates were then statistically adjusted to match the total energy consumption for each building. This is the Energy Information Administration`s (EIA) first report on energy end-use consumption in commercial buildings. This report is part of an effort to address customer requests for more information on how energy is used in buildings, which was an overall theme of the 1992 user needs study. The end-use data presented in this report were not available for publication in Commercial Buildings Energy Consumption and Expenditures 1989 (DOE/EIA-0318(89), Washington, DC, April 1992). However, subsequent reports on end-use energy consumption will be part of the Commercial Buildings Energy Consumption and Expenditures series, beginning with a 1992 data report to be published in early 1995.

1994-09-01T23:59:59.000Z

104

Table 5c. Residential Energy Intensity Using Site Energy by ...  

U.S. Energy Information Administration (EIA)

51. 52. 58. 42 . 37: ... Except for 1997, estimates include all the floor area of the housing unit that was enclosed from the weather. Sources: Energy ...

105

Table 6. Energy intensity by state (2000 - 2010  

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

Energy intensity by state (2000 - 2010)" Energy intensity by state (2000 - 2010)" "thousand Btu per dollar of GDP" ,,,,,,,,,,,,"Change" ,,,,,,,,,,,,"2000 to 2010" "State",2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,"Percent","Absolute" "Alabama",18.27258197,17.12573602,17.40982338,17.21199023,16.87274619,16.36600572,16.26201029,16.16667416,15.88996309,15.31511861,15.97051076,-0.1259849985,-2.302071213 "Alaska",21.74118991,20.61708506,19.78031734,20.18143227,20.28953911,21.09573287,18.72961653,17.79373817,15.85124571,14.13669694,14.24461661,-0.3448097058,-7.496573297 "Arizona",8.723022426,8.474435286,8.399371812,7.993493579,8.274516227,7.602521438,7.232690272,7.328159916,7.62679414,7.507000095,7.628169778,-0.1255129924,-1.094852647

106

EIA Energy Efficiency-Residential Sector Energy Intensities, 1978-2001  

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

Residential Sector Energy Intensities Residential Sector Energy Intensities RESIDENTIAL SECTOR ENERGY INTENSITIES: 1978-2005 Released Date: August 2004 Page Last Modified:June 2009 These tables provide estimates of residential sector energy consumption and energy intensities for 1978 -1984, 1987, 1990, 1993, 1997, 2001 and 2005 based on the Residential Energy Consumption Survey (RECS). Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF By Type of Housing Unit (Table 1a) html Table 1a excel table 1a. excel table 1a. Weather-Adjusted by Type of Housing Unit (Table 1b) html table 1b excel table 1b excel table 1b Total Primary Energy Consumption (U.S. and Census Region) By Type of Housing Unit (Table 1c) html Table 1c excel table 1c excel table 1c Weather-Adjusted by Type of Housing Unit (Table 1d)

107

Total Natural Gas Gross Withdrawals (Summary)  

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

Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases...

108

Optical Fiber High Temperature Sensor Instrumentation for Energy Intensive Industries  

SciTech Connect

This report summarizes technical progress during the program Optical Fiber High Temperature Sensor Instrumentation for Energy Intensive Industries, performed by the Center for Photonics Technology of the Bradley Department of Electrical and Computer Engineering at Virginia Tech. The objective of this program was to use technology recently invented at Virginia Tech to develop and demonstrate the application of self-calibrating optical fiber temperature and pressure sensors to several key energy-intensive industries where conventional, commercially available sensors exhibit greatly abbreviated lifetimes due primarily to environmental degradation. A number of significant technologies were developed under this program, including a laser bonded silica high temperature fiber sensor with a high temperature capability up to 700C and a frequency response up to 150 kHz, the worlds smallest fiber Fabry-Perot high temperature pressure sensor (125 x 20 ?m) with 700C capability, UV-induced intrinsic Fabry-Perot interferometric sensors for distributed measurement, a single crystal sapphire fiber-based sensor with a temperature capability up to 1600C. These technologies have been well demonstrated and laboratory tested. Our work plan included conducting major field tests of these technologies at EPRI, Corning, Pratt & Whitney, and Global Energy; field validation of the technology is critical to ensuring its usefulness to U.S. industries. Unfortunately, due to budget cuts, DOE was unable to follow through with its funding commitment to support Energy Efficiency Science Initiative projects and this final phase was eliminated.

Cooper, Kristie L.; Wang, Anbo; Pickrell, Gary R.

2006-11-14T23:59:59.000Z

109

Changes in energy intensity in the manufacturing sector 1985--1991  

SciTech Connect

In this report, energy intensity is defined as the ratio of energy consumption per unit of output. Output is measured as the constant dollar of value of shipments and receipts, and two measures of energy consumption are presented in British thermal units (Btu): Offsite-Produced Energy and Total Inputs of Energy. A decrease in energy intensity from one period to another suggests an increase in energy efficiency, and vice versa. Energy efficiency can be defined and measured in various ways. Certain concepts of energy efficiency, especially those limited to equipment efficiencies, cannot be measured over time using changes in energy-intensity ratios. While improved energy efficiency will tend to reduce energy intensity, it is also true that a change in energy intensity can be due to factors unrelated to energy efficiency. For this report, energy intensity is used as a surrogate measure for energy efficiency, based on industry knowledge and current methodological analyses.

1995-09-15T23:59:59.000Z

110

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

111

AN ASSESSMENT OF ENERGY INTENSITY INDICATORS AND THEIR ROLE AS POLICY -MAKING TOOLS  

E-Print Network (OSTI)

AN ASSESSMENT OF ENERGY INTENSITY INDICATORS AND THEIR ROLE AS POLICY - MAKING TOOLS by Mallika as a basis for policy-making has been on the rise. The idea that trends in both energy intensity policy criteria. Estimates of economic energy intensity from decomposition analyses are found to be data

112

Table 7. Carbon intensity of the energy supply by state (2000...  

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

"Table 7. Carbon intensity of the energy supply by state (2000 - 2010)" "kilograms of energy-related carbon dioxide per million Btu" ,,,"Change" ,,,"2000 to 2010"...

113

U.S. energy intensity projected to continue its steady decline ...  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating oil ... Energy use in homes, ... the role of energy-intensive industries in the United States declined with continuing structural changes ...

114

Energy use and energy intensity of the U.S. chemical industry  

SciTech Connect

The U.S. chemical industry is the largest in the world, and responsible for about 11% of the U.S. industrial production measured as value added. It consumes approximately 20% of total industrial energy consumption in the U.S. (1994), and contributes in similar proportions to U.S. greenhouse gas emissions. Surprisingly, there is not much information on energy use and energy intensity in the chemical industry available in the public domain. This report provides detailed information on energy use and energy intensity for the major groups of energy-intensive chemical products. Ethylene production is the major product in terms of production volume of the petrochemical industry. The petrochemical industry (SIC 2869) produces a wide variety of products. However, most energy is used for a small number of intermediate compounds, of which ethylene is the most important one. Based on a detailed assessment we estimate fuel use for ethylene manufacture at 520 PJ (LHV), excluding feedstock use. Energy intensity is estimated at 26 GJ/tonne ethylene (LHV), excluding feedstocks.The nitrogenous fertilizer production is a very energy intensive industry, producing a variety of fertilizers and other nitrogen-compounds. Ammonia is the most important intermediate chemical compound, used as basis for almost all products. Fuel use is estimated at 268 PJ (excluding feedstocks) while 368 PJ natural gas is used as feedstock. Electricity consumption is estimated at 14 PJ. We estimate the energy intensity of ammonia manufacture at 39.3 GJ/tonne (including feedstocks, HHV) and 140 kWh/tonne, resulting in a specific primary energy consumption of 40.9 GJ/tonne (HHV), equivalent to 37.1 GJ/tonne (LHV). Excluding natural gas use for feedstocks the primary energy consumption is estimated at 16.7 GJ/tonne (LHV). The third most important product from an energy perspective is the production of chlorine and caustic soda. Chlorine is produced through electrolysis of a salt-solution. Chlorine production is the main electricity consuming process in the chemical industry, next to oxygen and nitrogen production. We estimate final electricity use at 173 PJ (48 TWh) and fuel use of 38 PJ. Total primary energy consumption is estimated at 526 PJ (including credits for hydrogen export). The energy intensity is estimated at an electricity consumption of 4380 kWh/tonne chlorine and fuel consumption of 3.45 GJ/tonne chlorine, where all energy use is allocated to chlorine production. Assuming an average power generation efficiency of 33% the primary energy consumption is estimated at 47.8 GJ/tonne chlorine (allocating all energy use to chlorine).

Worrell, E.; Phylipsen, D.; Einstein, D.; Martin, N.

2000-04-01T23:59:59.000Z

115

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C12A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of...

116

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C3A. Consumption and Gross Energy Intensity for Sum of Major Fuels for All Buildings, 2003 All Buildings Sum of Major...

117

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C7A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 1...

118

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C9A. Consumption and Gross Energy Intensity by Census Division for Sum of Major Fuels for All Buildings, 2003: Part 3...

119

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C10A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption...

120

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C11A. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels for All Buildings, 2003 Sum of...

Note: This page contains sample records for the topic "gross energy intensity" 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

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Released: Dec 2006 Next CBECS will be conducted in 2007 Table C5A. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels for All Buildings, 2003 Sum of...

122

EIA Energy Efficiency-Iron and Steel Energy Intensity, 1998-2002  

Gasoline and Diesel Fuel Update (EIA)

Iron and Steel Manufacturing Energy Intensities, 1998, 2002, and 2006 Below are data for iron and steel industry from the 1998, 2002, and 2006 Manufacturing Energy Consumption Survey (MECS). The tables provide estimates for energy consumed for all purposes, end uses of fuel consumption, offsite-produced fuel consumption, expenditures for purchased energy, as well as energy intensities per value of production and per ton of steel. Energy Consumption 1998, 2002, and 2006 Table 1. Consumption of Energy for All Purposes (First Use) html Table 1 excel table 1. pdf table 1. Table 2. End Uses of Fuel Consumption html table 2. excel table 2. pdf table 2. Table 3. Offsite-Produced Fuel Consumption html table 3. excel table 3. pdf table 3. Table 4. Expenditures for Purchased Energy

123

HIGH INTENSITY LOW-ENERGY POSITRON SOURCE AT JEFFERSON  

SciTech Connect

We present a novel concept of a low-energy e{sup +} source with projected intensity on the order of 10{sup 10} slow e{sup +}/s. The key components of this concept are a continuous wave e{sup -} beam, a rotating positron-production target, a synchronized raster/anti-raster, a transport channel, and extraction of e{sup +} into a field-free area through a magnetic plug for moderation in a cryogenic solid. Components were designed in the framework of GEANT4-based (G4beamline) Monte Carlo simulation and TOSCA magnetic field calculation codes. Experimental data to demonstrate the effectiveness of the magnetic plug is presented.

Serkan Golge, Bogdan Wojtsekhowski, Branislav Vlahovic

2012-07-01T23:59:59.000Z

124

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

An ENERGY STAR Guide for Energy and Plant Managers.An ENERGY STAR Guide for Energy and Plant Managers.

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

125

Carbon Intensity, - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Carbon Intensity using Market Exchange Rates (Metric Tons of Carbon Dioxide per Thousand Year 2005 U.S. Dollars) Loading...

126

High pressure study of changes in energy and intensity of excitations in crystalline metal glyoximes  

SciTech Connect

The effect of high pressure has been measured on the energy and integrated intensity of electronic excitations of several layered crystals of glyoximes containing Ni, Pd, or Pt. Large changes in both energy and intensity were observed, both of which were completely reversible. The shifts in energy with pressure, are explained in terms of the relative spatial extent of the outer d and p orbitals of Ni, Pd, and Pt. The effects of back donation from the ligands and intensity borrowing from the higher energy charge transfer excitations are considered as possible causes of the observed intensity changes. It was concluded that intensity borrowing was the major cause of the observed changes.

Tkacz, M.; Drickamer, H.G.

1986-07-15T23:59:59.000Z

127

Table 22. Energy Intensity, Projected vs. Actual Projected  

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

Energy Intensity, Projected vs. Actual Energy Intensity, Projected vs. Actual Projected (quadrillion Btu / real GDP in billion 2005 chained dollars) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 11.2 11.1 11.0 10.8 10.7 10.5 10.4 10.3 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 AEO 1995 10.9 10.8 10.6 10.4 10.3 10.1 10.0 9.9 9.8 9.6 9.5 9.4 9.3 9.2 9.1 9.1 9.0 AEO 1996 10.7 10.6 10.4 10.3 10.1 10.0 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1997 10.3 10.3 10.2 10.1 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.2 9.1 9.0 8.9 AEO 1998 10.1 10.1 10.1 10.0 9.9 9.8 9.7 9.6 9.5 9.5 9.4 9.3 9.2 9.1 9.0 AEO 1999 9.6 9.7 9.7 9.7 9.6 9.4 9.3 9.1 9.0 8.9 8.8 8.7 8.6 8.5 AEO 2000 9.4 9.4 9.3 9.2 9.1 9.0 8.9 8.8 8.7 8.7 8.6 8.5 8.4 AEO 2001 8.7 8.6 8.5 8.4 8.3 8.1 8.0 7.9 7.8 7.6 7.5 7.4

128

Natural Gas Gross Withdrawals from Oil Wells  

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

Withdrawals from Gas Wells Gross Withdrawals from Oil Wells Gross Withdrawals from Shale Gas Wells Gross Withdrawals from Coalbed Wells Repressuring Vented and Flared...

129

Natural Gas Gross Withdrawals from Gas Wells  

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

Withdrawals from Gas Wells Gross Withdrawals from Oil Wells Gross Withdrawals from Shale Gas Wells Gross Withdrawals from Coalbed Wells Repressuring Vented and Flared...

130

Changes in Energy Intensity in the Manufacturing Sector 1985-1994  

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

Changes in Energy Intensity in the Manufacturing Sector 1985 - 1994 Full Report Introduction Summary of Data Data Tables Data Summaries All (20-39) Food (20) Textiles (22) Apparel (23) Lumber (24) Furniture (25) Paper (26) Printing (27) Chemicals (28) Refineries (29) Rubber (30) Stone (32) Metals (33) Fab. Metals (34) Machinery (35) El. Equip.(36) Instruments (38) Misc. (39) Appendices Survey Design Quality of Data Sector Description Nonobservation Errors Glossary Intensity Sites Commercial Residential Transportation International Manufacturing Energy Intensity Changes in Energy Intensity Click for Full Graph Manufacturing Energy Consumption Consumption of Energy Click for Full Graph Manufacturing Shipments History of Shipments Click for Full Graph The focus of this data report is on intensity of energy use, measured by energy consumption relative to constant dollar shipments of manufactured products -- commonly called energy intensities (EI) by energy analysts. This report explicitly relates changes in two energy measures of energy intensity to efficiency, while being cognizant that there are structural and behavioral effects enmeshed in those measures of energy efficiency. Reporting EI serves to continue the Intensity Change report series.

131

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

cracking and alternative processes, Energy 31 (2006), pp.cracking and alternative processes, Energy 31 (2006), pp.cracking and alternative processes, Energy 31 (2006), pp.

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

132

Table US1. Total Energy Consumption, Expenditures, and Intensities ...  

U.S. Energy Information Administration (EIA)

Part 1: Housing Unit Characteristics and Energy Usage Indicators Energy Consumption 2 Energy Expenditures 2 Total U.S. (quadrillion Btu) Per Household (Dollars) Per

133

U.S. energy intensity projected to continue its steady decline ...  

U.S. Energy Information Administration (EIA)

In the United States, energy intensity has been declining steadily since the early 1970s and continues to decline in EIA's long-term projection.

134

Natural Gas Gross Withdrawals from Oil Wells (Summary)  

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

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

135

Natural Gas Gross Withdrawals from Shale Gas Wells (Summary)  

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

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...

136

Natural Gas Gross Withdrawals from Gas Wells (Summary)  

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

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

137

Natural Gas Gross Withdrawals from Oil Wells (Summary)  

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

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...

138

Natural Gas Gross Withdrawals from Coalbed Wells (Summary)  

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

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...

139

Natural Gas Gross Withdrawals from Gas Wells (Summary)  

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

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...

140

Glass manufacturing is an energy-intensive industry mainly ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... There is substantial potential for energy efficiency improvements in glass manufacturing. Estimates range from ...

Note: This page contains sample records for the topic "gross energy intensity" 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

Estimating material and energy intensities of urban areas  

E-Print Network (OSTI)

The objective of this thesis is to develop methods to estimate, analyze and visualize the resource intensity of urban areas. Understanding the resource consumption of the built environment is particularly relevant in cities ...

Quinn, David James, Ph. D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

142

Energy Efficiency CO2 Intensity Calculator (EE-CO2 Intensity Calculator) Version 3.0  

Science Conference Proceedings (OSTI)

This spreadsheet calculator will allow members to quantify the impact of their energy efficiency savings and fuel displacement on carbon-dioxide emissions, specific to their region and the end-uses ...

2012-12-13T23:59:59.000Z

143

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

Energy Use in the Steel Industry. Brussels: IISI. Worrell,1998. Energy Use in the Steel Industry. Brussels: IISI. 2.2.1998. Energy Use in the Steel Industry. Brussels: IISI. Best

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

144

Glass manufacturing is an energy-intensive industry mainly fueled ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium.

145

The cement industry is the most energy intensive of all ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium.

146

Energy intensities in OECD countries, 1970--1989: A sectoral analysis  

SciTech Connect

We discuss the evolution of energy intensities in key sectors or subsectors between the early 1970s and the late 1980s in nine OECD countries. The sectors covered are manufacturing, automobile and air travel, freight trucking, residential space heating, and the service sector. Intensity changes varied among the sectors and countries, but common trends are visible in many cases. In most cases, the intensity decline slowed or ceased in the mid-1980s. We discuss the causes for the changes observed in each area, showing how energy-price changes were but one of many factors that played a role. Weighting the changes in intensities by 1973 energy use patterns, we find that the aggregate energy intensity index fell by 14--19% between 1973 and 1988 in the US, Japan, and West Germany.

Schipper, L.; Meyers, S.; Howarth, R.

1992-11-01T23:59:59.000Z

147

The cement industry is the most energy intensive of all ...  

U.S. Energy Information Administration (EIA)

Today in Energy July 1, 2013.. ... tags: consumption industrial manufacturing. Email Updates. RSS Feeds. Facebook. Twitter. YouTube. Add us to your site.

148

Energy End-Use Intensities in Commercial Buildings 1989 data -- Publication  

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

End-Use Intensities Executive Summary > Publication and Tables End-Use Intensities Executive Summary > Publication and Tables Publication and Tables Energy End Uses Ranked by Energy Consumption, 1989 Figure on Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. Divider Bar To View and/or Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties, visit our Technical Frequently Asked Questions. Divider Bar You have the option of downloading the entire report or selected sections of the report. Full Report - Energy End-Use Intensities in Commercial Buildings (1989 data) (file size .89 MB) pages: 140

149

Reducing Cache Access Energy in Array-Intensive Applications  

E-Print Network (OSTI)

Mahmut Kandemir Microsystems Design Lab Pennsylvania State University University Park, PA, 16802, USA Ibrahim Kolcu UMIST P.O. Box 88, Sackville Street Manchester, M60 1QD, UK Cache memories are known to consume a large percentage of on-chip energy in current microprocessors. For example, [1] reports that the on-chip cache in DEC Alpha 21264 consumes approximately 25% of the on-chip energy. Both sizes and complexities of state-of-the-art caches play a major role in their energy consumption. Direct-mapped caches are, in general, more energy efficient (from a per access energy consumption viewpoint) as they are simpler as compared to set-associative caches, and require no complex line replacement mechanisms (i.e., there is no decision concerning which line has to be evicted when a new line is to be loaded).

Exte Nd Ed; Mahmut Kandemir; Ibrahim Kolcu

2002-01-01T23:59:59.000Z

150

The structure and intensity of energy use: Trends in five OECD nations  

SciTech Connect

This paper examines trends in the structure and intensity of final energy demand in five OECD nations between 1973 and 1988. Our focus is on primary energy use, which weights fuels by their thermal content and multiplies district heat and electricity by factors of 1.15 and 3.24 to approximate the losses that occur in the conversion and distribution of these energy carriers. Grouch in the level of energy-using activities, given 1973 energy intensities (energy use per unit of activity), would have raised primary energy use by 46% in the US, 42% in Norway, 33% in Denmark, 37% in West Germany, and 53% in Japan. Reductions in end-use energy intensities, given 1973 activity levels, would have reduced primary energy use by 19% in the US, 3% in Norway, 20% in Denmark, 15% in West Germany, and l4% in Japan. Growth in national income parallelled increases in a weighted index of energy-using activities in the US, West Germany, and Denmark but substantially outstripped activity growth in Norway and Japan. We conclude that changes in the structure of a nation's economy may lead to substantial changes in its energy/GDP ratio that are unrelated to changes in the technical efficiency of energy utilization. Similarly, changes in energy intensities may be greater or less than the aggregate change in the energy/GDP ratio of a given country, a further warning that this ratio may be an unreliable indicator of technical efficiency.

Howarth, R.B.; Schipper, L. (Lawrence Berkeley Lab., CA (United States)); Andersson, B. (Stockholm School of Economics (Sweden))

1992-09-01T23:59:59.000Z

151

The structure and intensity of energy use: Trends in five OECD nations. Revision  

SciTech Connect

This paper examines trends in the structure and intensity of final energy demand in five OECD nations between 1973 and 1988. Our focus is on primary energy use, which weights fuels by their thermal content and multiplies district heat and electricity by factors of 1.15 and 3.24 to approximate the losses that occur in the conversion and distribution of these energy carriers. Grouch in the level of energy-using activities, given 1973 energy intensities (energy use per unit of activity), would have raised primary energy use by 46% in the US, 42% in Norway, 33% in Denmark, 37% in West Germany, and 53% in Japan. Reductions in end-use energy intensities, given 1973 activity levels, would have reduced primary energy use by 19% in the US, 3% in Norway, 20% in Denmark, 15% in West Germany, and l4% in Japan. Growth in national income parallelled increases in a weighted index of energy-using activities in the US, West Germany, and Denmark but substantially outstripped activity growth in Norway and Japan. We conclude that changes in the structure of a nation`s economy may lead to substantial changes in its energy/GDP ratio that are unrelated to changes in the technical efficiency of energy utilization. Similarly, changes in energy intensities may be greater or less than the aggregate change in the energy/GDP ratio of a given country, a further warning that this ratio may be an unreliable indicator of technical efficiency.

Howarth, R.B.; Schipper, L. [Lawrence Berkeley Lab., CA (United States); Andersson, B. [Stockholm School of Economics (Sweden)

1992-09-01T23:59:59.000Z

152

The structure and intensity of energy use: Trends in five OECD nations  

SciTech Connect

This paper examines trends in the structure and intensity of final energy demand in five OECD nations between 1973 and 1988. Our focus is on primary energy use, which weights fuels by their thermal content and multiplies district heat and electricity by factors of 1.15 and 3.24 to approximate the losses that occur in the conversion and distribution of these energy carriers. Growth in the level of energy-using activities, given 1973 energy intensities (energy use per unit of activity), would have raised primary energy use by 47% in the US, 44% in Norway, 33% in Denmark, 37% in West Germany, and 54% in Japan. Reductions in end-use energy intensities, given 1973 activity levels, would have reduced primary energy use by 20% in the US, 3% in Norway, 20% in Denmark, 17% in West Germany, and 14% in Japan. Growth in national income parallelled increases in a weighted index of energy-using activities in the US, West Germany, and Denmark but substantially outstripped activity growth in Norway and Japan. We conclude that changes in the structure of a nation's economy may lead to substantial changes in its energy/GDP ratio that are unrelated to changes in the technical efficiency of energy utilization. Similarly, changes in energy intensities may be greater or less than the aggregate change in the energy/GDP ratio of a given country, a further warning that this ratio may be an unreliable indicator of technical efficiency.

Howarth, R.B.; Schipper, L.; Andersson, B.

1992-06-01T23:59:59.000Z

153

The structure and intensity of energy use: Trends in five OECD nations  

SciTech Connect

This paper examines trends in the structure and intensity of final energy demand in five OECD nations between 1973 and 1988. Our focus is on primary energy use, which weights fuels by their thermal content and multiplies district heat and electricity by factors of 1.15 and 3.24 to approximate the losses that occur in the conversion and distribution of these energy carriers. Growth in the level of energy-using activities, given 1973 energy intensities (energy use per unit of activity), would have raised primary energy use by 47% in the US, 44% in Norway, 33% in Denmark, 37% in West Germany, and 54% in Japan. Reductions in end-use energy intensities, given 1973 activity levels, would have reduced primary energy use by 20% in the US, 3% in Norway, 20% in Denmark, 17% in West Germany, and 14% in Japan. Growth in national income parallelled increases in a weighted index of energy-using activities in the US, West Germany, and Denmark but substantially outstripped activity growth in Norway and Japan. We conclude that changes in the structure of a nation`s economy may lead to substantial changes in its energy/GDP ratio that are unrelated to changes in the technical efficiency of energy utilization. Similarly, changes in energy intensities may be greater or less than the aggregate change in the energy/GDP ratio of a given country, a further warning that this ratio may be an unreliable indicator of technical efficiency.

Howarth, R.B.; Schipper, L.; Andersson, B.

1992-06-01T23:59:59.000Z

154

World Best Practice Energy Intensity Values for SelectedIndustrial Sectors  

SciTech Connect

"World best practice" energy intensity values, representingthe most energy-efficient processes that are in commercial use in atleast one location worldwide, are provided for the production of iron andsteel, aluminium, cement, pulp and paper, ammonia, and ethylene. Energyintensity is expressed in energy use per physical unit of output for eachof these commodities; most commonly these are expressed in metric tonnes(t). The energy intensity values are provided by major energy-consumingprocesses for each industrial sector to allow comparisons at the processlevel. Energy values are provided for final energy, defined as the energyused at the production facility as well as for primary energy, defined asthe energy used at the production facility as well as the energy used toproduce the electricity consumed at the facility. The "best practice"figures for energy consumption provided in this report should beconsidered as indicative, as these may depend strongly on the materialinputs.

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky,Christina; Zhou, Nan

2007-06-05T23:59:59.000Z

155

A Comparison of Iron and Steel Production Energy Intensity in China and the  

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

A Comparison of Iron and Steel Production Energy Intensity in China and the A Comparison of Iron and Steel Production Energy Intensity in China and the U.S Title A Comparison of Iron and Steel Production Energy Intensity in China and the U.S Publication Type Conference Proceedings Year of Publication 2011 Authors Price, Lynn K., Ali Hasanbeigi, Nathaniel T. Aden, Zhang Chunxia, Li Xiuping, and Shangguan Fangqin Conference Name ACEEE Industrial Summer Study Date Published 07/2011 Publisher American Council for an Energy-Efficient Economy Conference Location New York Keywords china, energy intensity, iron and steel, Low Emission & Efficient Industry, united states Abstract The goal of this study was to develop a methodology for making an accurate comparison of the energy intensity of steel production in China and the U.S. The methodology addresses issues related to boundary definitions, conversion factors, and industry structure. In addition to the base case analysis, six scenarios were developed to assess the effect of different factors such as the share of electric arc furnace (EAF) steel production, conversion factors for the embodied energy of imported and exported intermediary and auxiliary products, and the differences in net calorific values of the fuels. The results of the analysis show that for the whole iron and steel production process, the final energy intensity in 2006 was equal to 14.90 GJ/tonne crude steel in the U.S. and 23.11 GJ/tonne crude steel in China in the base scenario. In another scenario that assumed the Chinese share of electric arc furnace production in 2006 (i.e. 10.5%) in the U.S., the energy intensity of steel production in the U.S. increased by 54% to 22.96GJ/tonne crude steel. Thus, when comparing the energy intensity of the U.S and Chinese steel industry,the structure of the industry should be taken into account.

156

Energy End-Use Intensities in Commercial Buildings 1995 - Index...  

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

1995 End-Use Data 1995 End-Use Data Overview Tables National estimates of energy consumption by fuel (electricity and natural gas) and end use (heating, cooling, lighting, etc.)...

157

EPRI Energy Efficiency CO2 Intensity Calculator, 2013 Edition  

Science Conference Proceedings (OSTI)

This spreadsheet calculator will allow members to quantify the impact of their energy efficiency savings and fuel displacement on carbon-dioxide emissions, specific to their region and the end-uses ...

2013-12-16T23:59:59.000Z

158

EPRI Energy Efficiency CO2 Intensity Calculator, 2010  

Science Conference Proceedings (OSTI)

This spreadsheet calculator will allow members to quantify the impact of their energy efficiency savings on carbon-dioxide emissions, specific to their region and the end-uses for which the savings emanate. This user-friendly COintensity calculator is a Microsoft Excel application to help utility staff calculate the impact of their actual or planned energy efficiency programs on emissions of CO8322. The calculator will access a database of load dispatch simulation runs of the EPRI National Electric Syste...

2010-12-01T23:59:59.000Z

159

A New System of Energy Intensity Indicators for the U.S. Economy Focus on Manufacturing  

E-Print Network (OSTI)

The U.S. commitment to energy efficiency and conservation policy was emphasized in the National Energy Policy (NEP) made public in May 2001. Recommendation 14 in Chapter 4 of the NEP - "Making Energy Efficiency a National Priority" -recommended that "...the President direct the Secretary of Energy to establish a national priority for improving energy efficiency. The priority would be to improve the energy intensity of the U.S. economy, as measured by the amount of energy required for each dollar of economic productivity. This increased efficiency should be pursued through the combined efforts of industry, consumers, and federal, state, and local governments." As part of the effort to make energy efficiency a national priority, the Department of Energy has developed improved national indicators of energy intensity.

Roop, J. M.

2003-05-01T23:59:59.000Z

160

CBECS 1989 - Energy End-use Intensities in Commercial Buildings -- Detailed  

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

Publication > Detailed Tables Publication > Detailed Tables 1989 Energy End-Use Intensities Detailed Tables Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. Table Organization The following 13 tables present detailed energy end-use consumption data from the 1989 CBECS. Summary tables for all major fuels (electricity, natural gas, fuel oil, and district heat) appear first, followed by separate tables for each of the four major fuels. Within each energy source’s group of tables, there is a table showing end-use consumption, a table showing end-use intensities (consumption per square foot), and a table (except for fuel oil and district heat) showing the end-use shares of total consumption.

Note: This page contains sample records for the topic "gross energy intensity" 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

Effect of pulse intensity distributions on fragment internal energy in the infrared multiphoton dissociation of vinyl  

E-Print Network (OSTI)

Effect of pulse intensity distributions on fragment internal energy in the infrared multiphoton the rovibra- tional energy distributions of fragmentsl formed in the infrared multiphoton dissociation (IRMPD energies of the frag- ment can be well characterized in terms of a Boltzmann distribution with a single

Zare, Richard N.

162

Why did China's Energy Intensity Increase during 1998-2006: Decomposition and Policy Analysis  

E-Print Network (OSTI)

coal-dependent consumption structure (Fig. 4) and low per capita energy endowments. China's coal use takes up about 70 percent of the total energy consumption. Per capita oil, natural gas and coal deposits). Moreover, industrial consumption increased more rapidly due to expansion in energy-intensive industries

Edwards, Paul N.

163

Budgets of Divergent and Rotational Kinetic Energy during Two Periods of Intense Convection  

Science Conference Proceedings (OSTI)

Budgets of divergent and rotational components of kinetic energy (KD and KR) are investigated for two periods of intense convection. Derivations of the budget equations are presented for limited volumes in terms of VD and VR. The two periods ...

Dennis E. Buechler; Henry E. Fuelberg

1986-01-01T23:59:59.000Z

164

Roles of Divergent and Rotational Winds in the Kinetic Energy Balance Intense Convective Activity  

Science Conference Proceedings (OSTI)

Contibutions of divergent and rotational wind components to the synoptic-scale kinetic energy balance are described using rawinsonde data at 3 and 6 h intervals from NASAs fourth Atmospheric Variability Experiment (AVE 4). Two intense ...

Henry E. Fuelberg; Peter A. Browning

1983-11-01T23:59:59.000Z

165

Comparison of the Evolution of Energy Intensity in Spain and in the EU15. Why is Spain Different?  

E-Print Network (OSTI)

Energy intensity in Spain has increased since 1990, while the opposite has happened in the EU15. Decomposition analysis of primary energy intensity ratios has been used to identify which are the key sectors driving the ...

Ocaa, Carlos

166

Life-cycle energy savings potential from aluminum-intensive vehicles  

DOE Green Energy (OSTI)

The life-cycle energy and fuel-use impacts of US-produced aluminum-intensive passenger cars and passenger trucks are assessed. The energy analysis includes vehicle fuel consumption, material production energy, and recycling energy. A model that stimulates market dynamics was used to project aluminum-intensive vehicle market shares and national energy savings potential for the period between 2005 and 2030. We conclude that there is a net energy savings with the use of aluminum-intensive vehicles. Manufacturing costs must be reduced to achieve significant market penetration of aluminum-intensive vehicles. The petroleum energy saved from improved fuel efficiency offsets the additional energy needed to manufacture aluminum compared to steel. The energy needed to make aluminum can be reduced further if wrought aluminum is recycled back to wrought aluminum. We find that oil use is displaced by additional use of natural gas and nonfossil energy, but use of coal is lower. Many of the results are not necessarily applicable to vehicles built outside of the United States, but others could be used with caution.

Stodolsky, F.; Vyas, A.; Cuenca, R.; Gaines, L.

1995-07-01T23:59:59.000Z

167

DE-AC03-76SF00098. Energy Use and Energy Intensity of the U.S. Chemical Industry  

E-Print Network (OSTI)

The U.S. chemical industry is the largest in the world, and responsible for about 11 % of the U.S. industrial production measured as value added. It consumes approximately 20 % of total industrial energy consumption in the U.S. (1994), and contributes in similar proportions to U.S. greenhouse gas emissions. Surprisingly, there is not much information on energy use and energy intensity in the chemical industry available in the public domain. This report provides detailed information on energy use and energy intensity for the major groups of energy-intensive chemical products. Ethylene production is the major product in terms of production volume of the petrochemical industry. The petrochemical industry (SIC 2869) produces a wide variety of products. However, most energy is used for a small number of intermediate compounds, of which ethylene is the most important one. Based on a detailed assessment we estimate fuel use for ethylene manufacture at 520 PJ (LHV), excluding feedstock use. Energy intensity is estimated at 26 GJ/tonne ethylene (LHV), excluding feedstocks. The nitrogenous fertilizer production is a very energy intensive industry, producing a variety of fertilizers and other nitrogen-compounds. Ammonia is the most important intermediate chemical

Ernst Worrell; Dian Phylipsen; Dan Einstein; Nathan Martin; Ernst Worrell; Dian Phylipsen; Dan Einstein; Nathan Martin

2000-01-01T23:59:59.000Z

168

Energy End-Use Intensities in Commercial Buildings1992 -- Overview/End-Use  

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

> Overview > Overview 1992 Energy End-Use Intensities Overview Energy Consumption by End Use, 1992 Figure on Energy Consumption By End Use, 1992 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1992 Commercial Buildings Energy Consumption Survey. End-Use Estimation Methodology The end-use estimates had two main sources: (1) survey data collected by the Commercial Buildings Energy Consumption Survey (CBECS) and (2) building energy simulations provided by the Facility Energy Decision Screening (FEDS) system. The CBECS provided data on building characteristics and total energy consumption (i.e., for all end uses) for a national sample of commercial buildings. Using data collected by the CBECS, the FEDS engineering modules were used to produce estimates of energy consumption by end use. The FEDS engineering estimates were then statistically adjusted to match the CBECS total energy consumption.

169

Explaining Long-Run Changes in the Energy Intensity of the U.S. Economy  

E-Print Network (OSTI)

Recent events have revived interest in explaining the long-run changes in the energy intensity of the U.S. economy. We use a KLEM dataset for 35 industries over 39 years to decompose changes in the aggregate energy-GDP ...

Sue Wing, Ian.

170

Changes in Energy Intensity in the Manufacturing Sector 1985-1994  

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

1. Introduction Rankeda EI Numbers of Total Inputs of Energy SIC Codeb Intensity for 1985c Intensity for 1994c 29 18.11 25.85 26 17.82 17.71 33 19.57 16.27 32 14.75 14.69 28 11.09 12.14 All 5.34 5.77 24 5.24 5.05 22 4.07 3.82 20 2.41 2.72 30 2.81 2.22 34 1.91 1.98 25 1.37 1.16 39 1.14 1.16 38 0.92 1.10 36 1.11 0.90 35 1.14 0.86 27 0.62 0.74 23 0.47 0.38 c For this report, all energy-intensity ratios are presented in units of thousands of Btu per 1992 constant dollars. Source: Table 12 of this report. The focus of this data report is on energy consumption relative to constant dollar shipments of manufactured products -- commonly called energy intensities (EI) by energy analysts. This report presents two measures of energy consumption, Offsite-Produced Energy and Total Inputs of Energy,

171

Changes in Energy Intensity in the Manufacturing Sector 1985-1994  

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

1. Introduction Rankeda EI Numbers of Total Inputs of Energy SIC Codeb Intensity for 1985c Intensity for 1994c 29 18.11 25.85 26 17.82 17.71 33 19.57 16.27 32 14.75 14.69 28 11.09 12.14 All 5.34 5.77 24 5.24 5.05 22 4.07 3.82 20 2.41 2.72 30 2.81 2.22 34 1.91 1.98 25 1.37 1.16 39 1.14 1.16 38 0.92 1.10 36 1.11 0.90 35 1.14 0.86 27 0.62 0.74 23 0.47 0.38 c For this report, all energy-intensity ratios are presented in units of thousands of Btu per 1992 constant dollars. Source: Table 12 of this report. The focus of this data report is on energy consumption relative to constant dollar shipments of manufactured products -- commonly called energy intensities (EI) by energy analysts. This report presents two measures of energy consumption, Offsite-Produced Energy and Total Inputs of Energy,

172

Climate Policy Design for Energy-Intensive Industries - And The Rest of Us  

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

Climate Policy Design for Energy-Intensive Industries - And The Rest of Us Climate Policy Design for Energy-Intensive Industries - And The Rest of Us Speaker(s): Holmes Hummel Date: January 8, 2009 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Richard Diamond Driving the U.S. energy system toward climate stabilization requires integration of multiple policy instruments in a staged series of legislative and regulatory policy vehicles. Qualifying the limitations of a cap-and-trade approach, Dr. Hummel will present a framework for orienting and organizing a multi-faceted policy development process. After surveying key design recommendations for specific sectors, the presentation will drill deeper into the specific challenge of engaging energy-intensive industries subject to global competition. After briefly discussing some of

173

Department of Energy Support of Energy Intensive Manufacturing Related to Refractory Research  

Science Conference Proceedings (OSTI)

For many years, the United States Department of Energy (DOE) richly supported refractory related research to enable greater energy efficiency processes in energy intensive manufacturing industries such as iron and steel, glass, aluminum and other non-ferrous metal production, petrochemical, and pulp and paper. Much of this support came through research projects funded by the former DOE Energy Efficiency and Renewable Energy (EERE) Office of Industrial Technologies (OIT) under programs such as Advanced Industrial Materials (AIM), Industrial Materials of the Future (IMF), and the Industrial Technologies Program (ITP). Under such initiatives, work was funded at government national laboratories such as Oak Ridge National Laboratory (ORNL), at universities such as West Virginia University (WVU) and the Missouri University of Science and Technology (MS&T) which was formerly the University of Missouri Rolla, and at private companies engaged in these manufacturing areas once labeled industries of the future by DOE due to their strategic and economic importance to American industry. Examples of such projects are summarized below with information on the scope, funding level, duration, and impact. This is only a sampling of representative efforts funded by the DOE in which ORNL was involved over the period extending from 1996 to 2011. Other efforts were also funded during this time at various other national laboratories, universities and private companies under the various programs mentioned above. Discussion of the projects below was chosen because I was an active participant in them and it is meant to give a sampling of the magnitude and scope of investments made by DOE in refractory related research over this time period.

Hemrick, James Gordon [ORNL

2013-01-01T23:59:59.000Z

174

HOT ELECTRON ENERGY DISTRIBUTIONS FROM ULTRA-INTENSE LASER SOLID INTERACTIONS  

SciTech Connect

We present experimental data of electron energy distributions from ultra-intense (>10{sup 19} W/cm{sup 2}) laser-solid interactions using the Rutherford Appleton Laboratory Vulcan petawatt laser. These measurements were made using a CCD-based magnetic spectrometer. We present details on the distinct effective temperatures that were obtained for a wide variety of targets as a function of laser intensity. It is found that as the intensity increases from 10{sup 17} W/cm{sup 2} to 10{sup 19} W/cm{sup 2}, a 0.4 dependence on the laser intensity is found. Between 10{sup 19} W/cm{sup 2} and 10{sup 20} W/cm{sup 2}, a gradual rolling off of temperature with intensity is observed.

Chen, H; Wilks, S C; Kruer, W L; Moon, S; Patel, N; Patel, P K; Shepherd, R; Snavely, R

2005-12-08T23:59:59.000Z

175

Portfolio Manager Technical Reference: U.S. National Energy Use Intensity |  

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

U.S. National Energy Use U.S. National Energy Use Intensity Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

176

Scaling to Ultra-High Intensities by High-Energy Petawatt Beam Combining  

SciTech Connect

The output pulse energy from a single-aperture high-energy laser amplifier (e.g. fusion lasers such as NIF and LMJ) are critically limited by a number of factors including optical damage, which places an upper bound on the operating fluence; parasitic gain, which limits together with manufacturing costs the maximum aperture size to {approx} 40-cm; and non-linear phase effects which limits the peak intensity. For 20-ns narrow band pulses down to transform-limited sub-picosecond pulses, these limiters combine to yield 10-kJ to 1-kJ maximum pulse energies with up to petawatt peak power. For example, the Advanced Radiographic Capability (ARC) project at NIF is designed to provide kilo-Joule pulses from 0.75-ps to 50-ps, with peak focused intensity above 10{sup 19} W/cm{sup 2}. Using such a high-energy petawatt (HEPW) beamline as a modular unit, they discuss large-scale architectures for coherently combining multiple HEPW pulses from independent apertures, called CAPE (Coherent Addition of Pulses for Energy), to significantly increase the peak achievable focused intensity. Importantly, the maximum intensity achievable with CAPE increases non-linearly. Clearly, the total integrated energy grows linearly with the number of apertures N used. However, as CAPE combines beams in the focal plane by increasing the angular convergence to focus (i.e. the f-number decreases), the foal spot diameter scales inversely with N. Hence the peak intensity scales as N{sup 2}. Using design estimates for the focal spot size and output pulse energy (limited by damage fluence on the final compressor gratings) versus compressed pulse duration in the ARC system, Figure 2 shows the scaled focal spot intensity and total energy for various CAPE configurations from 1,2,4, ..., up to 192 total beams. They see from the fixture that the peak intensity for event modest 8 to 16 beam combinations reaches the 10{sup 21} to 10{sup 22} W/cm{sup 2} regime. With greater number of apertures, or with improvements to the focusability of the individual beams, the maximum peak intensity can be increased further to {approx} 10{sup 24} W/cm{sup 2}. Lastly, an important feature of the CAPE architecture is the ability to coherently combine beams to produce complex spatio-temporal intensity distributions for laser-based accelerators (e.g. all-optical electron injection and acceleration) and high energy density science applications such as fast ignition.

Siders, C W; Jovanovic, I; Crane, J; Rushford, M; Lucianetti, A; Barty, C J

2006-06-23T23:59:59.000Z

177

National Level Co-Control Study of the Targets for Energy Intensity and  

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

National Level Co-Control Study of the Targets for Energy Intensity and National Level Co-Control Study of the Targets for Energy Intensity and Sulfur Dioxide in China Title National Level Co-Control Study of the Targets for Energy Intensity and Sulfur Dioxide in China Publication Type Report LBNL Report Number LBNL-5253E Year of Publication 2011 Authors Zhou, Nan, Lynn K. Price, Nina Zheng, Jing Ke, and Ali Hasanbeigi Date Published 10/2011 Publisher Lawrence Berkerley National Laboratory ISBN Number LBNL-5253E Keywords china, china energy, co-control, energy intensity, industrial energy efficiency, iron and steel industry, Low Emission & Efficient Industry, policy studies, sulfur dioxide Abstract Since 2006, China has set goals of reducing energy intensity, emissions, and pollutants in multiple guidelines and in the Five Year Plans. Various strategies and measures have then been taken to improve the energy efficiency in all sectors and to reduce pollutants. Since controlling energy, CO2 emissions, and pollutants falls under the jurisdiction of different government agencies in China, many strategies are being implemented to fulfill only one of these objectives.Co-controls or integrated measures could simultaneously reduce greenhouse gas (GHG)emissions and criteria air pollutant emissions. The targets could be met in a more cost effective manner if the integrated measures can be identified and prioritized. This report provides analysis and insights regarding how these targets could be met via co-control measures focusing on both CO2 and SO2 emissions in the cement, iron & steel, and power sectors to 2030 in China. An integrated national energy and emission model was developed in order to establish a baseline scenario that was used to assess the impact of actions already taken by the Chinese government as well as planned and expected actions. In addition, CO2 mitigation scenarios and SO2 control scenarios were also established to evaluate the impact of each of the measures and the combined effects.

178

A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.  

Science Conference Proceedings (OSTI)

Production of iron and steel is an energy-intensive manufacturing process. In 2006, the iron and steel industry accounted for 13.6% and 1.4% of primary energy consumption in China and the U.S., respectively (U.S. DOE/EIA, 2010a; Zhang et al., 2010). The energy efficiency of steel production has a direct impact on overall energy consumption and related carbon dioxide (CO2) emissions. The goal of this study is to develop a methodology for making an accurate comparison of the energy intensity (energy use per unit of steel produced) of steel production. The methodology is applied to the steel industry in China and the U.S. The methodology addresses issues related to boundary definitions, conversion factors, and indicators in order to develop a common framework for comparing steel industry energy use. This study uses a bottom-up, physical-based method to compare the energy intensity of China and U.S. crude steel production in 2006. This year was chosen in order to maximize the availability of comparable steel-sector data. However, data published in China and the U.S. are not always consistent in terms of analytical scope, conversion factors, and information on adoption of energy-saving technologies. This study is primarily based on published annual data from the China Iron & Steel Association and National Bureau of Statistics in China and the Energy Information Agency in the U.S. This report found that the energy intensity of steel production is lower in the United States than China primarily due to structural differences in the steel industry in these two countries. In order to understand the differences in energy intensity of steel production in both countries, this report identified key determinants of sector energy use in both countries. Five determinants analyzed in this report include: share of electric arc furnaces in total steel production, sector penetration of energy-efficiency technologies, scale of production equipment, fuel shares in the iron and steel industry, and final steel product mix in both countries. The share of lower energy intensity electric arc furnace production in each country was a key determinant of total steel sector energy efficiency. Overall steel sector structure, in terms of average plant vintage and production capacity, is also an important variable though data were not available to quantify this in a scenario. The methodology developed in this report, along with the accompanying quantitative and qualitative analyses, provides a foundation for comparative international assessment of steel sector energy intensity.

Hasanbeigi, Ali; Price, Lynn; Aden, Nathaniel; Chunxia, Zhang; Xiuping, Li; Fangqin, Shangguan

2011-06-15T23:59:59.000Z

179

Department of Energy Commercial Building Benchmarks (New Construction): Energy Use Intensities, May 5, 2009  

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

Benchmarks Benchmarks New Construction Energy Use Intensities (EUIs) [kBtu/ft 2 /yr] May 5, 2009 Miami Houston Phoenix Atlanta Los Angeles Las Vegas San Francisco Baltimore Albuquerque Seattle Chicago Denver Minneapolis Helena Duluth Fairbanks 2003 CBECS Avg. Climate Zone 1A 2A 2B 3A 3B 3B 3C 4A 4B 4C 5A 5B 6A 6B 7 8 Large Office 39 42 40 39 32 40 34 43 39 37 43 38 47 44 49 62 99 Medium Office 38 44 42 44 35 41 40 51 43 46 53 47 59 54 62 82 94 Small Office 46 48 49 46 36 44 38 53 47 47 61 52 70 62 77 110 80 Warehouse 15 15 15 16 14 16 14 18 17 16 21 20 26 23 27 43 48 Stand-alone Retail 48 46 46 41 34 41 35 45 42 40 48 45 54 51 61 88 70 Strip Mall 46 44 44 44 35 43 38 48 45 42 51 47 60 55 66 99 110 Primary School 65 71 69 69 57 65 71 78 68 65 85 74 99 88 107 147 68 Secondary School 69 74 74 73 50 68 67 87 72 72 99 81 117 101 128 181 80 Supermarket 161 171 161 175 155 162 171 191 174 186 206 188 224 209 240

180

Smart Grid as a Driver for Energy-Intensive Industries: A Data Center Case  

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

Smart Grid as a Driver for Energy-Intensive Industries: A Data Center Case Smart Grid as a Driver for Energy-Intensive Industries: A Data Center Case Study Title Smart Grid as a Driver for Energy-Intensive Industries: A Data Center Case Study Publication Type Conference Paper LBNL Report Number LBNL-6104E Year of Publication 2012 Authors Ganti, Venkata, and Girish Ghatikar Conference Name Grid-Interop 2012 Date Published 12/2012 Conference Location Irving, TX Keywords data centers, market sectors, technologies Abstract The Smart Grid facilitates integration of supply- and demand-side services, allowing the end-use loads to be dynamic and respond to changes in electricity generation or meet localized grid needs. Expanding from previous work, this paper summarizes the results from field tests conducted to identify demand response opportunities in energy-intensive industrial facilities such as data centers. There is a significant opportunity for energy and peak-demand reduction in data centers as hardware and software technologies, sensing, and control methods can be closely integrated with the electric grid by means of demand response. The paper provides field test results by examining distributed and networked data center characteristics, end-use loads and control systems, and recommends opportunities and challenges for grid integration. The focus is on distributed data centers and how loads can be "migrated" geographically in response to changing grid supply (increase/decrease). In addition, it examines the enabling technologies and demand-response strategies of high performance computing data centers. The findings showed that the studied data centers provided average load shed of up to 10% with short response times and no operational impact. For commercial program participation, the load-shed strategies must be tightly integrated with data center automation tools to make them less resource-intensive.

Note: This page contains sample records for the topic "gross energy intensity" 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

Energy use and carbon dioxide emissions in energy-intensive industries in key developing countries  

E-Print Network (OSTI)

Structural Factors Affecting Energy Use and Carbon DioxideStructural Factors Affecting Energy Use and Carbon Dioxide

Price, Lynn; Worrell, Ernst; Phylipsen, Dian

1999-01-01T23:59:59.000Z

182

The Gross-Pitaevskii functional with a random background potential and condensation in the single particle ground state  

E-Print Network (OSTI)

For discrete and continuous Gross-Pitaevskii energy functionals with a random background potential, we study the Gross-Pitaevskii ground state. We characterize a regime of interaction coupling when the Gross-Pitaevskii ground state and the ground state of the random background Hamiltonian asymptotically coincide.

Frdric Klopp; Bernd Metzger

2009-10-15T23:59:59.000Z

183

Virginia Natural Gas Gross Withdrawals from Oil Wells (Million...  

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

312013 Next Release Date: 8302013 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Virginia Natural Gas Gross Withdrawals and Production Natural Gas Gross...

184

Natural Gas Gross Withdrawals from Shale Gas Wells  

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

Withdrawals from Gas Wells Gross Withdrawals from Oil Wells Gross Withdrawals from Shale Gas Wells Gross Withdrawals from Coalbed Wells Repressuring Vented and Flared...

185

Virginia Natural Gas Gross Withdrawals from Oil Wells (Million...  

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

2013 Next Release Date: 11292013 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Virginia Natural Gas Gross Withdrawals and Production Natural Gas Gross...

186

Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...  

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

Release Date: 1312014 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Gulf of Mexico Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals...

187

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

Annual Energy Outlook 2012 (EIA)

Date: 8302013 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Illinois Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from...

188

Gross Alpha and Gross Beta Measurements in Coal Combustion Product Leachate  

Science Conference Proceedings (OSTI)

The objective of this report was to provide information to help interpret gross alpha and gross beta concentrations in coal combustion product (CCP) leachate. This objective was accomplished by chemically characterizing 15 field leachate samples that were collected at three CCP management facilities. The leachate samples were analyzed for gross alpha and gross beta concentrations and for the potential individual alpha and beta emitters in solution. Gross alpha concentrations at the three sites ranged fro...

2008-09-22T23:59:59.000Z

189

Energy Use Intensity and its Influence on the Integrated Daylighting Design of a Large Net Zero Energy Building: Preprint  

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

Use Intensity and its Use Intensity and its Influence on the Integrated Daylighting Design of a Large Net Zero Energy Building Preprint Rob Guglielmetti, Jennifer Scheib, Shanti D. Pless, and Paul Torcellini National Renewable Energy Laboratory Rachel Petro RNL Design Presented at the ASHRAE Winter Conference Las Vegas, Nevada January 29 - February 2, 2011 Conference Paper NREL/CP-5500-49103 March 2011 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes.

190

Large hospitals tend to be energy-intensive - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... solar, wind, geothermal, ... natural gas was the most common main space heating fuel, ...

191

ENERGY DISTRIBUTION OF TWO-ELECTRON IONIZATION OF HELIUM IN AN INTENSE LASER FIELD.  

DOE Green Energy (OSTI)

It is well known that a neutral atom interacting with a strong laser field will ionize at sufficiently high intensity even for photon energies well below the ionization threshold. When the required number of photons becomes very large, this process is best described by the suppression of the Coulomb barrier by the laser's oscillating electric field, allowing the electron to tunnel into the continuum. As the laser intensity is increased, more tightly bound electrons may be successively liberated by this mechanism. Such a sequential multiple ionization, long accepted as a reasonable approach to the formidable problem of a multielectron atom interacting nonperturbatively with an intense electromagnetic field, provides fair estimates of the various charge state appearance intensities while the tunneling rates are in excellent agreement with single ionization yields. However, more accurate measurements revealed systematic and very large deviations from the tunneling rates: near appearance intensity under standard experimental conditions, the observed double ion yield is several orders of magnitude larger than predicted by the sequential rate. It soon became clear that electrons could not be considered as independent and that electron-electron correlation had to be taken into account. Dynamic correlations have been considered in several theories. First qualitatively in the shakeoff model; then empirically through the e-2e cross-section in the quantum/classical three-step model (tunnel ionization, acceleration by the oscillating electric field and e-2e recollision with the ion); recently through the so-called intense field many-body-S-matrix theory and a purely empirical model of collective tunnel ionization. The validity of these ideas has been examined using numerical models. The measurement of total ion yields over a dynamic range exceeding ten orders of magnitude, a major breakthrough made possible by the availability of high-repetition rate lasers at the beginning of the 90's, was for a long time the only quantitative data to confront theory.

LAFON,R.; CHALOUPKA,J.L.; SHEEHY,B.; DIMAURO,L.F.; PAUL,P.M.; AGOSTINI,P.; KULANDER,K.C.

2000-09-24T23:59:59.000Z

192

HOT ELECTRON ENERGY DISTRIBUTIONS FROM ULTRA-INTENSE LASER SOLID INTERACTIONS  

Science Conference Proceedings (OSTI)

Measurements of electron energy distributions from ultra-intense (>10{sup 19} W/cm{sup 2}) laser-solid interactions using an electron spectrometer are presented. These measurements were performed on the Vulcan petawatt laser at Rutherford Appleton Laboratory and the Callisto laser at Lawrence Livermore National Laboratory. The effective hot electron temperatures (T{sub hot}) have been measured for laser intensities (I{lambda}{sup 2}) from 10{sup 18} W/cm{sup 2} {micro}m{sup 2} to 10{sup 21} W/cm{sup 2} {micro}m{sup 2} for the first time, and T{sub hot} is found to increase as (I{lambda}{sup 2}){sup 0.34} {+-} 0.4. This scaling agrees well with the empirical scaling published by Beg et al. (1997), and is explained by a simple physical model that gives good agreement with experimental results and particle-in-cell simulations.

Chen, H; Wilks, S C; Kruer, W; Patel, P; Shepherd, R

2008-10-08T23:59:59.000Z

193

Energy loss estimates at several beam intensities in the Fermilab Booster  

SciTech Connect

The difference between the effective rf voltage and the accelerating voltage required to match the rate of change of the Booster magnetic field can be used to estimate the energy loss per beam turn. Although the effective rf voltage (RFSUM) and the synchronous phase can be experimentally measured and used to calculate the accelerating voltage, the calibration of the signals during the fast change of the Booster rf frequency is difficult and appears to introduce some offset to the beam energy loss estimation. An observed linear relationship between energy loss and beam intensity is used to evaluate the offset, which is then applied to the experimental data. This approach, rather than recalibrating the signals, is simple and suitable for minimizing the error in the data.

Xi Yang and James MacLachlan

2004-06-08T23:59:59.000Z

194

,"Colorado Natural Gas Gross Withdrawals and Production"  

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

,"Workbook Contents" ,"Colorado Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

195

,"Kansas Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Monthly","72013","1151989" ,"Release...

196

,"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,"Monthly","72013","1151989" ,"Release...

197

,"Louisiana Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Monthly","72013","1151989" ,"Release...

198

,"Alabama Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Gross Withdrawals and Production",10,"Monthly","72013","1151989" ,"Release...

199

,"Oklahoma Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",10,"Monthly","72013","1151989" ,"Release...

200

,"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","72013","1151989" ,"Release...

Note: This page contains sample records for the topic "gross energy intensity" 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

,"Arizona Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Gross Withdrawals and Production",10,"Monthly","72013","1151991" ,"Release...

202

,"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","72013","1151989" ,"Release...

203

,"Arkansas Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Gross Withdrawals and Production",10,"Monthly","72013","1151991" ,"Release...

204

,"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","72013","1151989" ,"Release...

205

,"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","72013","1151991" ,"Release...

206

,"Kansas Natural Gas Gross Withdrawals and Production"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

207

,"Arizona Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301967" ,"Release Date:","1212...

208

,"Montana Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

209

,"Virginia Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301967" ,"Release Date:","1212...

210

,"California Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

211

,"Pennsylvania Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

212

,"Ohio Natural Gas Gross Withdrawals and Production"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

213

,"Missouri Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301967" ,"Release Date:","1212...

214

,"Tennessee Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

215

,"Nevada Natural Gas Gross Withdrawals and Production"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301991" ,"Release Date:","1212...

216

,"Oregon Natural Gas Gross Withdrawals and Production"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301979" ,"Release Date:","1212...

217

,"Michigan Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

218

,"Oklahoma Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

219

Natural Gas Gross Withdrawals from Gas Wells  

U.S. Energy Information Administration (EIA)

Natural Gas Gross Withdrawals and Production (Volumes in Million Cubic Feet) Data Series: ... coalbed production data are included in Gas Well totals.

220

,"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",11,"Annual",2012,"6301967" ,"Release Date:","1212...

Note: This page contains sample records for the topic "gross energy intensity" 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

,"Nebraska Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

222

,"Arkansas Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

223

,"Louisiana Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

224

,"Illinois Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

225

,"Alabama Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

226

,"Kentucky Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

227

,"Mississippi Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

228

,"Wyoming Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

229

,"Florida Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

230

,"Colorado Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

231

,"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",11,"Annual",2012,"6301967" ,"Release Date:","1212...

232

,"Alaska Natural Gas Gross Withdrawals and Production"  

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

ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301967" ,"Release Date:","1212...

233

,"Maryland Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301967" ,"Release Date:","1212...

234

,"Indiana Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

235

Large hospitals tend to be energy-intensive - Today in Energy ...  

U.S. Energy Information Administration (EIA)

... used energy for generating electricity, primarily for emergency back-up generation. Fuel oil was by far the most common fuel used for this ...

236

Enhancing the energy of terahertz radiation from plasma produced by intense femtosecond laser pulses  

SciTech Connect

Terahertz (THz) radiation from atomic clusters illuminated by intense femtosecond laser pulses is investigated. By studying the angular distribution, polarization properties and energy dependence of THz waves, we aim to obtain a proper understanding of the mechanism of THz generation. The properties of THz waves measured in this study differ from those predicted by previously proposed mechanisms. To interpret these properties qualitatively, we propose that the radiation is generated by time-varying quadrupoles, which are produced by the ponderomotive force of the laser pulse.

Jahangiri, Fazel [Advanced Research Center for Beam Science, ICR, Kyoto University, Kyoto (Japan) [Advanced Research Center for Beam Science, ICR, Kyoto University, Kyoto (Japan); Laser and Plasma Research Institute, Shahid Beheshti University, Tehran (Iran, Islamic Republic of); Hashida, Masaki; Tokita, Shigeki; Sakabe, Shuji [Advanced Research Center for Beam Science, ICR, Kyoto University, Kyoto (Japan) [Advanced Research Center for Beam Science, ICR, Kyoto University, Kyoto (Japan); Department of Physics, GSS, Kyoto University, Kyoto (Japan); Nagashima, Takeshi; Hangyo, Masanori [Department of Physics, GSS, Kyoto University, Kyoto (Japan) [Department of Physics, GSS, Kyoto University, Kyoto (Japan); Institute of Laser Engineering, Osaka University, Osaka (Japan)

2013-05-13T23:59:59.000Z

237

Liquid lithium target as a high intensity, high energy neutron source  

DOE Patents (OSTI)

This invention provides a target jet for charged particles. In one embodiment the charged particles are high energy deuterons that bombard the target jet to produce high intensity, high energy neutrons. To this end, deuterons in a vacuum container bombard an endlessly circulating, free-falling, sheet-shaped, copiously flowing, liquid lithium jet that gushes by gravity from a rectangular cross-section vent on the inside of the container means to form a moving web in contact with the inside wall of the vacuum container. The neutrons are produced via break-up of the beam in the target by stripping, spallation and compound nuclear reactions in which the projectiles (deuterons) interact with the target (Li) to produce excited nuclei, which then "boil off" or evaporate a neutron.

Parkin, Don M. (Los Alamos, NM); Dudey, Norman D. (Glen Ellyn, IL)

1976-01-01T23:59:59.000Z

238

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. ...

239

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) .............

240

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

Note: This page contains sample records for the topic "gross energy intensity" 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

Comparison Study of Energy Intensity in the Textile Industry: A Case Study in Five Textile Sub-sectors  

E-Print Network (OSTI)

This paper contributes to the understanding of energy use in the textile industry by comparing the energy intensity of textile plants in five major sub-sectors, i.e. spinning, weaving, wet-processing, worsted fabric manufacturing, and carpet manufacturing in Iran. Results of the study showed that spinning plant electricity intensity varies between 3.6 MWh/tonne yarn and 6.6 MWh/tonne yarn, while fuel intensity ranges between 6.7 MBtu/tonne yarn and 11.7 MBtu/tonne yarn. In weaving plants, electricity intensity ranges from 1.2 MWh/tonne fabric to 2.2 MWh/tonne fabric, while fuel intensity was 10.1 MBtu/tonne fabric and 16.4 MBtu/tonne fabric for the two plants studied. In three wet-processing plants, the electricity intensity was found to be between 1.5 MWh/tonne finished fabric and 2.5 MWh/tonne finished fabric, while the fuel intensity was between 38.2 MBtu/tonne finished fabric and 106.3 MBtu/tonne finished fabric. In addition, some methodological issues to improve such energy intensity comparison analysis and benchmarking in the textile industry is discussed.

Hasanbeigi, A.

2011-01-01T23:59:59.000Z

242

Attaining and using extremely high intensities of solar energy with non-imaging concentrators  

SciTech Connect

Using the principles and techniques of non-imaging optics, solar concentrations that approach the theoretical maximum can be achieved. In this paper, the authors review recent progress in attaining, measuring, and using such ultrahigh solar fluxes. In particular, they review the design principles for optimized two-stage concentrators and solar furnaces and discuss the characteristics and properties of a variety of non-imaging secondaries which have been employed. These include Compound Parabolic Concentrators (CPC) type secondaries, Dielectric Totally Internally Reflecting Concentrators (DTIRC), and flow-line or {open_quotes}trumpet{close_quotes} concentrators. The usual design is a configuration where {phi}, the rim angle of the primary, is small, that is, corresponding to a system with a relatively large focal length to diameter (F/D) ratio. All three types of secondary are characterized by a design acceptance angle {phi}{sub a} which must be greater than or equal to {phi}. The design parameters and trade-offs for each of these systems including strategies for choice of particular secondary and degree of truncation, are presented. The authors review the calorimetric techniques used to measure these high intensities and describe a newly developed technique for {open_quotes}extracting{close_quotes} light from inside a high index medium. Finally they review a number of potential applications for highly concentrated solar energy and the current status of the associated technology. By making possible new and unique applications for intense solar flux, these techniques have opened a whole new frontier for research and development of potential economic uses of solar energy. 63 refs., 34 figs., 3 tabs.

Jenkins, D.; O`Gallagher, J.; Winston, R.

1997-12-31T23:59:59.000Z

243

Natural Gas Gross Withdrawals - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

244

Natural Gas Gross Withdrawals - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Federal Offshore Gulf of Mexico: 114,382: 103,384: 110,472: 103,769: 106,596: 102,840: ... New Mexico, Oklahoma, Texas, Wyoming, and the Gulf of Mexic ...

245

Arkansas Natural Gas Gross Withdrawals and Production  

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

sure that JavaScript is enabled in your browser Natural Gas Gross Withdrawals and Production (Volumes in Million Cubic Feet) Area: U.S. Alaska Federal Offshore Gulf of Mexico...

246

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

247

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

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

,,"(202) 586-8800",,,"10312013 3:28:45 PM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NM2" "Date","New Mexico...

248

Texas Natural Gas Gross Withdrawals (Million Cubic Feet)  

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

View History: Monthly Annual Download Data (XLS File) Texas Natural Gas Gross Withdrawals (Million Cubic Feet) Texas Natural Gas Gross Withdrawals (Million Cubic Feet) Decade...

249

Texas Natural Gas Gross Withdrawals (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

View History: Monthly Annual Download Data (XLS File) Texas Natural Gas Gross Withdrawals (Million Cubic Feet) Texas Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan...

250

Texas Natural Gas Gross Withdrawals from Gas Wells (Million Cubic...  

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

View History: Monthly Annual Download Data (XLS File) Texas Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Texas Natural Gas Gross Withdrawals from Gas Wells...

251

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

U.S. Energy Information Administration (EIA)

U.S. Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 ... U.S. Natural Gas Gross Withdrawals and Production;

252

North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Download Data (XLS File) North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) North Dakota Natural Gas Gross Withdrawals from Shale Gas...

253

Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Download Data (XLS File) Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Oklahoma Natural Gas Gross Withdrawals from Shale Gas...

254

Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Monthly Annual Download Data (XLS File) Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Arkansas Natural Gas Gross Withdrawals from Shale Gas...

255

Montana Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Download Data (XLS File) Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Montana Natural Gas Gross Withdrawals from Shale Gas (Million...

256

Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...  

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

Monthly Annual Download Data (XLS File) Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Ohio Natural Gas Gross Withdrawals from Shale Gas (Million...

257

Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Download Data (XLS File) Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...

258

Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Monthly Annual Download Data (XLS File) Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Virginia Natural Gas Gross Withdrawals from Shale Gas...

259

Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Monthly Annual Download Data (XLS File) Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Pennsylvania Natural Gas Gross Withdrawals from Shale Gas...

260

California Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Download Data (XLS File) California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) California Natural Gas Gross Withdrawals from Shale Gas...

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


261

New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Monthly Annual Download Data (XLS File) New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) New Mexico Natural Gas Gross Withdrawals from Shale Gas...

262

Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Monthly Annual Download Data (XLS File) Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals from Shale Gas...

263

West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Annual Download Data (XLS File) West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) West Virginia Natural Gas Gross Withdrawals from Shale Gas...

264

Michigan Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Download Data (XLS File) Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Michigan Natural Gas Gross Withdrawals from Shale Gas...

265

Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

Monthly Annual Download Data (XLS File) Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Texas Natural Gas Gross Withdrawals from Shale Gas (Million...

266

Colorado Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Monthly Annual Download Data (XLS File) Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Colorado Natural Gas Gross Withdrawals from Shale Gas...

267

Method and apparatus for measuring the momentum, energy, power, and power density profile of intense particle beams  

DOE Patents (OSTI)

A method and apparatus for determining the power, momentum, energy, and power density profile of high momentum mass flow. Small probe projectiles of appropriate size, shape and composition are propelled through an intense particle beam at equal intervals along an axis perpendicular to the beam direction. Probe projectiles are deflected by collisions with beam particles. The net beam-induced deflection of each projectile is measured after it passes through the intense particle beam into an array of suitable detectors.

Gammel, George M. (Merrick, NY); Kugel, Henry W. (Somerset, NJ)

1992-10-06T23:59:59.000Z

268

Method and apparatus for measuring the momentum, energy, power, and power density profile of intense particle beams  

DOE Patents (OSTI)

A method and apparatus for determining the power, momentum, energy, and power density profile for high momentum mass flow. Small probe projectiles of appropriate size, shape and composition are propelled through an intense particle beam at equal intervals along an axis perpendicular to the beam direction. Probe projectiles are deflected by collisions with beam particles. The net beam-induced deflection of each projectile is measured after it passes through the intense particle beam into an array of suitable detectors.

Gammel, G.M.; Kugel, H.W.

1991-12-31T23:59:59.000Z

269

International Energy Outlook 1998  

Gasoline and Diesel Fuel Update (EIA)

B B World Energy Projection System The projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO) are derived from the World Energy Projection System (WEPS). WEPS is an integrated set of personal-computer-based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product [GDP]) and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and

270

A new approach to estimate commercial sector end-use load shapes and energy use intensities  

SciTech Connect

We discuss the application of an end-use load shape estimation technique to develop annual energy use intensities (EUIs) and hourly end-use load shapes (LSs) for commercial buildings in the Pacific Gas and Electric Company (PG&E) service territory. Results will update inputs for the commercial sector energy and peak demand forecasting models used by PG&E and the California Energy Commission (CEC). EUIs were estimated for 11 building types, up to 10 end uses, 3 fuel types, 2 building vintages, and up to 5 climate regions. The integrated methodology consists of two major parts. The first part is the reconciliation of initial end-use load-shape estimates with measured whole-building load data to produce intermediate EUIs and load shapes, using LBL`s End-use Disaggregation Algorithm, EDA. EDA is a deterministic hourly algorithm that relies on the observed characteristics of the measured hourly whole-building electricity use and disaggregates it into major end-use components. The end-use EUIs developed through the EDA procedure represent a snap-shot of electricity use by building type and end-use for two regions of the PG&E service territory, for the year that disaggregation is performed. In the second part of the methodology, we adjust the EUIs for direct application to forecasting models based on factors such as climatic impacts on space-conditioning EUIs, fuel saturation effects, building and equipment vintage, and price impacts. Core data for the project are detailed on-site surveys for about 800 buildings, mail surveys ({approximately}6000), load research data for over 1000 accounts, and hourly weather data for five climate regions.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1994-08-01T23:59:59.000Z

271

Sky-maps of the sidereal anisotropy of galactic cosmic ray intensity and its energy dependence  

E-Print Network (OSTI)

We analyze the sidereal daily variations observed between 1985 and 2006 at Matsushiro, Japan (MAT) and between 1993 and 2005 at Liapootah, Tasmania (LPT). These stations comprise the two hemisphere network (THN) of underground muon detectors in Japan and Australia. Yearly mean harmonic vectors at MAT and LPT are more or less stable without any significant change in phase and amplitude in correlation with either the solar activity- or magnetic-cycles. In this paper, therefore, we analyze the average anisotropy over the entire observation periods, i.e. 1985-2006 for MAT and 1993-2005 for LPT. We apply to the THN data a best-fitting analysis based on a model anisotropy in space identical to that adopted by Amenomori et al. (2007) for Tibet III data. The median energies of primary cosmic rays recorded are ~0.5 TeV for THN and ~5 TeV for the Tibet III experiment. It is shown that the intensity distribution of the best-fit anisotropy is quite similar to that derived from Tibet III data, regardless of the order of magnitude difference in energies of primary particles. This, together with the THN observations, confirms that the analysis by Amenomori et al. (2007) based on the Tibet III experiment in the northern hemisphere is not seriously biased. The best-fit amplitudes of the anisotropy, on the other hand, are only one third or less of those reported by the Tibet III experiment, indicating attenuation due to solar modulation. The rigidity dependence of the anisotropy amplitude in the sub-TeV region is consistent with the spectrum reported by Hall et al. (1999), smoothly extending to the Tibet III result in the multi-TeV region. The amplitude at higher energies appears almost constant or gradually decreasing with increasing rigidity.

K. Munakata; N. Matsumoto; S. Yasue; C. Kato; S. Mori; M. Takita; M. L. Duldig; J. E. Humble; J. Kota

2008-11-04T23:59:59.000Z

272

,"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"

273

,"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"

274

Collective Focusing of Intense Ion Beam Pulses for High-energy Density Physics Applications  

SciTech Connect

The collective focusing concept in which a weak magnetic lens provides strong focusing of an intense ion beam pulse carrying a neutralizing electron background is investigated by making use of advanced particle-in-cell simulations and reduced analytical models. The original analysis by Robertson Phys. Rev. Lett. 48, 149 (1982) is extended to the parameter regimes of particular importance for several high-energy density physics applications. The present paper investigates (1) the effects of non-neutral collective focusing in a moderately strong magnetic field; (2) the diamagnetic effects leading to suppression of the applied magnetic field due to the presence of the beam pulse; and (3) the influence of a finite-radius conducting wall surrounding the beam cross-section on beam neutralization. In addition, it is demonstrated that the use of the collective focusing lens can significantly simplify the technical realization of the final focusing of ion beam pulses in the Neutralized Drift Compression Experiment-I (NDCX-I) , and the conceptual designs of possible experiments on NDCX-I are investigated by making use of advanced numerical simulations. 2011 American Institute of Physics

Mikhail A. Dorf, Igor D. Kaganovich, Edward A. Startsev and Ronald C. Davidson

2011-04-27T23:59:59.000Z

275

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

East Coast (PADD 1) Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

276

Rocky Mountains (PADD 4) Gross Inputs to Refineries (Thousand ...  

U.S. Energy Information Administration (EIA)

Gross Input to Atmospheric Crude Oil Distillation Units ; PAD District 4 Refinery Utilization and Capacity ...

277

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil ...  

U.S. Energy Information Administration (EIA)

Refining District New Mexico Gross Inputs to Atmospheric Crude Oil Distillation Units (Thousand Barrels per Day)

278

Narrow Energy Spread Protons and Ions from High-Intensity, High-Contrast Laser Solid Target Interactions  

Science Conference Proceedings (OSTI)

Recent simulations show that an idealized, high intensity, short pulse laser can generate quasi-monoenergetic proton beams with energies over 100 MeV in an interaction with a thin film. However, most short pulse laser facilities with sufficient intensity have difficulty controlling the nanosecond and picosecond contrast necessary to realize such a regime. Experiments were performed to investigate proton and ion acceleration from a high contrast, short pulse laser by employing dual plasma mirrors along with a deformable mirror at the HERCULES laser facility at the Center for Ultrafast Optical Sciences, University of Michigan. Plasma mirrors were characterized, allowing a 50% throughput with an intensity contrast increase of 105. The focal spot quality was also exceptional, showing a 1.1 micron full width at half maximum (FWHM) focal diameter. Experiments were done using temporally cleaned 30 TW, 32 fs pulses to achieve an intensity of up to 10{sup 21} Wcm{sup -2} on Si{sub 3}N{sub 4} and Mylar targets with thicknesses ranging 50 nm to 13 microns. Proton beams with energy spreads below 2 MeV were observed from all thicknesses, peaking with energies up to 10.3 MeV and an energy spread of 0.8 MeV. Similar narrow energy spreads were observed for oxygen, nitrogen, and carbon at the silicon nitride thickness of 50 nm with energies up to 24 MeV with an energy spread of 3 MeV, whereas the energy spread is greatly increased at a larger thickness. Maximum energies were confirmed with CR39 track detectors, while a Thomson ion spectrometer was used to gauge the monoenergetic nature of the beam.

Dollar, Franklin; Matsuoka, Takeshi; McGuffey, Christopher; Bulanov, Stepan S.; Chvykov, Vladimir; Kalintchenko, Galina; Thomas, Alec G. R.; Willingale, Louise; Yanovsky, Victor; Maksimchuk, Anatoly; Krushelnick, Karl [Center for Ultrafast Optical Science, Univ. Of Michigan, Ann Arbor, MI 48109 (United States); Davis, Jack; Petrov, George [Plasma Physics Division, Naval Research Laboratory, Washington, DC 20375 (United States)

2010-11-04T23:59:59.000Z

279

Target Allocation Methodology for China's Provinces: Energy Intensity in the 12th FIve-Year Plan  

E-Print Network (OSTI)

2015. 23 In 2005, national energy consumption structure wasof: (a) national average annual energy consumption growthnational average) rate of change in energy consumption.

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

280

Target Allocation Methodology for China's Provinces: Energy Intensity in the 12th FIve-Year Plan  

E-Print Network (OSTI)

of China’ s Energy-Saving and Emission Reductionrates: provincial trends Energy saving goals: equal ratesrates: provincial trends Energy saving goals: provincial

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gross energy intensity" 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

Target Allocation Methodology for China's Provinces: Energy Intensity in the 12th FIve-Year Plan  

E-Print Network (OSTI)

World Resources Institute (WRI). 2009. Energy Consumption:Residential energy consumption per capita. WRI EarthTrendstargets. Total primary energy consumption is separated into

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

282

Oklahoma Natural Gas Gross Withdrawals and Production  

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

7 2008 2009 2010 2011 2012 View History Gross Withdrawals 1,783,682 1,886,710 1,901,556 1,827,328 1,888,870 2,021,001 1967-2012 From Gas Wells 1,583,356 1,452,148 1,413,759...

283

Alaska Natural Gas Gross Withdrawals and Production  

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

7 2008 2009 2010 2011 2012 View History Gross Withdrawals 3,479,290 3,415,884 3,312,386 3,197,100 3,162,922 3,182,084 1967-2012 From Gas Wells 165,624 150,483 137,639 127,417...

284

Louisiana Natural Gas Gross Withdrawals and Production  

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

7 2008 2009 2010 2011 2012 View History Gross Withdrawals 1,382,828 1,387,722 1,558,638 2,218,283 3,040,523 3,007,147 1967-2012 From Gas Wells 1,261,539 1,288,559 1,100,007 911,967...

285

Wyoming Natural Gas Gross Withdrawals and Production  

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

7 2008 2009 2010 2011 2012 View History Gross Withdrawals 2,257,884 2,488,267 2,536,336 2,514,657 2,375,301 2,253,310 1967-2012 From Gas Wells 1,649,284 1,764,084 1,806,807...

286

Texas Natural Gas Gross Withdrawals and Production  

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

7 2008 2009 2010 2011 2012 View History Gross Withdrawals 6,960,858 7,800,655 7,653,647 7,593,697 7,934,689 8,112,398 1967-2012 From Gas Wells 4,992,042 5,285,458 4,860,377...

287

A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.  

E-Print Network (OSTI)

flow models for the US steel industry, Energy 26, no. 2 (of Energy, Energy Information Administration (U.S. DOE/EIA).of Energy, Energy Information Administration (U.S. DOE/EIA).

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

288

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

289

Target Allocation Methodology for China's Provinces: Energy Intensity in the 12th FIve-Year Plan  

E-Print Network (OSTI)

and toward a low-energy service sector. In line with theseand toward a low-energy service sector. In line with theseand toward a low- energy service sector. In line with these

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

290

A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.  

E-Print Network (OSTI)

only provide national energy consumption data up to 2003.and data on national energy consumption are provided bymetals Total energy consumption: national steel industry

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

291

Comparison of operational energy intensities and consumption of pipelines versus coastal tankers: US Gulf coast to northeast coast routes  

SciTech Connect

This report is a comparative analysis of operational energy intensities and consumption for pipeline shipments versus coastal tanker and tanker-barge movements of light petroleum products from the US Gulf Coast to US East Coast Mid-Atlantic states. It has been prepared for the Office of Transportation Programs of the US Department of Energy (DOE) as part of a project designed to develop energy conservation strategies in the areas of modal shifts and energy materials transport. It also answers an expressed interest of DOE's Office of Competition as to whether energy penalties are being paid in this region by the shipment of this oil by tanker rather than pipeline. Detailed estimates are made of the 1977 energy intensities (EIs) for tankers and the two major pipelines serving these routes; these are the Colonial pipeline (from Houston) and the Plantation pipeline (from Baton Rouge). Estimates of potential operational energy savings gained from diverting these shipments from tankers to pipelines are figured from these EIs plus 1977 tanker short-ton volumes for these products. Also estimated for these diversions are additional savings of petroleum available through shifts from the fuel oil used to power tankers, to the other energy sources used by pipelines (e.g., coal, which is burned by the utilities serving them). Table 1 indicates that these tanker volumes have been large and steady as a whole; however, individual origin ports have had substantial variations since the 1973 Arab oil embargo. Indirect energy requirements of the two modes are not included in this analysis because the methodology for calculating them is still an unresolved research area (e.g., diagreements exist as to how much supporting-infrastructure energy usage should be included for a mode).

Hooker, J.; Rose, A.B.; Bertram, K.M.

1980-01-01T23:59:59.000Z

292

A Resource Intensive Traffic-Aware Scheme for Cluster-based Energy Conservation in Wireless Devices  

Science Conference Proceedings (OSTI)

Wireless traffic that is destined for a certain device in a network, can be exploited in order to minimize the availability and delay trade-offs, and mitigate the Energy consumption. The Energy Conservation (EC) mechanism can be node-centric by considering ... Keywords: Energy Conservation, Traffic-aware scheme, End-to-end communication, Capacity consideraiton for Energy Harvesting

Marios C. Charalambous; Constandinos X. Mavromoustakis; Muneer Bani Yassein

2012-06-01T23:59:59.000Z

293

Energy Market and Economic Impacts Proposal to Reduce Greenhouse Gas Intensity with a Cap and Trade System  

Reports and Publications (EIA)

This report was prepared by the Energy Information Administration (EIA), in response to a September 27, 2006, request from Senators Bingaman, Landrieu, Murkowski, Specter, Salazar, and Lugar. The Senators requested that EIA assess the impacts of a proposal that would regulate emissions of greenhouse gases (GHGs) through an allowance cap-and-trade system. The program would set the cap to achieve a reduction in emissions relative to economic output, or greenhouse gas intensity.

John J. Conti

2007-01-11T23:59:59.000Z

294

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

Annual Energy Outlook 2012 (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...

295

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...

296

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

Gasoline and Diesel Fuel Update (EIA)

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...

297

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

Annual Energy Outlook 2012 (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...

298

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...

299

Energy Production, Frictional Dissipation, and Maximum Intensity of a Numerically Simulated Tropical Cyclone  

Science Conference Proceedings (OSTI)

A tropical cyclone (TC) viewed as a heat engine converts heat energy extracted from the ocean into the kinetic energy of the TC, which is eventually dissipated due to surface friction. Since the energy production rate is a linear function while ...

Yuqing Wang; Jing Xu

2010-01-01T23:59:59.000Z

300

Gross alpha/beta determination by liquid scintillation counting  

Science Conference Proceedings (OSTI)

Liquid scintillation counting (LSC) is used to assay liquid samples for both gross alpha and gross beta (including tritium) activity in order to declare these samples clean.'' This method provides several advantages over traditional gross assay techniques including easy sample preparation, no sample self-absorption, short counting times, acceptable lower limits of detection (LLD's), and convenient sample disposal.

Leyba, J.D.

1992-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "gross energy intensity" 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

Gross alpha/beta determination by liquid scintillation counting  

Science Conference Proceedings (OSTI)

Liquid scintillation counting (LSC) is used to assay liquid samples for both gross alpha and gross beta (including tritium) activity in order to declare these samples ``clean.`` This method provides several advantages over traditional gross assay techniques including easy sample preparation, no sample self-absorption, short counting times, acceptable lower limits of detection (LLD`s), and convenient sample disposal.

Leyba, J.D.

1992-03-01T23:59:59.000Z

302

EIA - Annual Energy Outlook 2008 - Energy Demand  

Gasoline and Diesel Fuel Update (EIA)

Energy Demand Energy Demand Annual Energy Outlook 2008 with Projections to 2030 Energy Demand Figure 40. Energy use per capita and per dollar of gross domestic product, 1980-2030 (index, 1980 = 1). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 41. Primary energy use by fuel, 2006-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Average Energy Use per Person Levels Off Through 2030 Because energy use for housing, services, and travel in the United States is closely linked to population levels, energy use per capita is relatively stable (Figure 40). In addition, the economy is becoming less dependent on energy in general. Energy intensity (energy use per 2000 dollar of GDP) declines by an average

303

A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.  

E-Print Network (OSTI)

industry, encouraging widespread energy saving, emission reduction, increased steel scrap recycling rate,

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

304

Contributions of weather and fuel mix to recent declines in U.S.energy and carbon intensity  

SciTech Connect

A recent (1996-2000) acceleration of declines in energy andcarbon intensity in the U.S. remains largely unexplained. This study usesDivisia decomposition and regression to test two candidate explanations -fuel mix and weather. The Divisia method demonstrates that fuel mix doesnot explain the declines in carbon intensity. The fuel mix, both overalland for electricity generation, became slightly more carbon intensiveover the study period (though the slight trend reversed before the end ofthe period). A regression-based correction to the Divisia indices,accounting for variation in heating- and cooling-degree-days, indicatesthat warmer weather accounts for about 30 percent ofthe total declines.This leaves declines of more than 2 percent per year (and an accelerationof more than 1 percent over previous decade) remaining to beexplained.

Davis, W. Bart; Sanstad, Alan H.; Koomey, Jonathan G.

2002-10-20T23:59:59.000Z

305

Table 6c. U.S. Residential Energy Intensity Using Weather ...  

U.S. Energy Information Administration (EIA)

51. 61. 46 . 42 . Single-Family ... Except for 1997, estimates include all the floor area of the housing unit that was enclosed from the weather. Sources: Energy ...

306

U.S. energy intensity projected to continue its steady decline ...  

U.S. Energy Information Administration (EIA)

Comprehensive data summaries, comparisons, analysis, ... The events surrounding the Arab oil embargo in 1973 were associated with a dramatic rise in energy prices.

307

U.S. energy intensity projected to continue its steady decline ...  

U.S. Energy Information Administration (EIA)

Greenhouse gas data, voluntary report- ing, electric power plant emissions. ... Light-duty vehicles are by far the largest energy consuming part of ...

308

Sensitivity to Dark Energy candidates by searching for four-wave mixing of high-intensity lasers in the vacuum  

E-Print Network (OSTI)

Theoretical challenges to understand Dark Matter and Dark Energy suggest the existence of low-mass and weakly coupling fields in the universe. The quasi-parallel photon-photon collision system (QPS) can provide chances to probe the resonant production of these light dark fields and the induced decay by the coherent nature of laser fields simultaneously. By focusing high-intensity lasers with different colors in the vacuum, new colors emerge as the signature of the interaction. Because four photons in the initial and final states interplay via the dark field exchange, this process is analogous to four-wave mixing in quantum optics, where the frequency sum and difference among the incident three waves generate the fourth wave with a new frequency via the nonlinear property of crystals. The interaction rate of the four-wave mixing process has the cubic dependence on the intensity of each wave. Therefore, if high-intensity laser fields are given, the sensitivity to the weakly coupling of dark fields to photons rapidly increases over the wide mass range below sub-eV. Based on the experimentally measurable photon energies and the linear polarization states, we formulate the relation between the accessible mass-coupling domains and the high-intensity laser parameters, where the effects of the finite spectrum width of pulse lasers are taken into account. The expected sensitivity suggests that we have a potential to explore interactions at the Super-Planckian coupling strength in the sub-eV mass range, if the cutting-edge laser technologies are properly combined.

Kensuke Homma

2012-11-09T23:59:59.000Z

309

SR/OIAF/2006-01 Energy Market Impacts of Alternative Greenhouse Gas Intensity Reduction Goals  

E-Print Network (OSTI)

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. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester. Preface and Contacts The Energy Information Administration (EIA) is the independent statistical and analytical agency within the Department of Energy. EIA provides timely, high-quality energy information and prepares objective, transparent analyses for use of Congress, the Administration and the public. EIA does not, however, take positions on policy issues. Because of EIA?s statutory independence with respect to the content of its energy information program, the analysis presented herein is strictly its own and should not be construed as representing the views of the U.S. Department of Energy or the Administration. The model projections in this report are not statements of what will happen but of what might happen, given the assumptions and methodologies used. The reference case projections are businessas-usual trend forecasts, given known technology, technological and demographic trends, and current laws and regulations. Thus, they provide a policy-neutral starting point that can be used to

unknown authors

2006-01-01T23:59:59.000Z

310

High-Intensity and High-Density Charge-Exchange Injection Studies into the CERN PS Booster at Intermediate Energies  

E-Print Network (OSTI)

For the high brilliance LHC ultimate beam and the high intensity CNGS beam, single batch injections into the CERN Proton Synchrotron (PS) will be used to increase the overall machine intensity compared with the present double batch injections. Charge-exchange injection into the PS Booster with a new linac at intermediate energies is thus examined. A key parameter to consider is the energy dependence of beam incoherent tune shifts at injection. Increasing the linac energy from the present 50 MeV to 160 MeV should yield a safer tune shift. For each PS Booster ring, a charge-exchange injection scheme is envisaged inside a proper straight section, redesigned with new bends to make a local bump and using the existing fast bump magnets for horizontal phase-space painting. ACCSIM simulations for charge-exchange injection at 160 MeV have been investigated for both LHC and CNGS beams. After optimizing the parameters that are used for the space charge tracking routines, the results of the simulations agree well with ex...

Martini, M

2004-01-01T23:59:59.000Z

311

In-situ determination of energy species yields of intense particle beams  

DOE Patents (OSTI)

Objects of the present invention are provided for a particle beam having a full energy component at least as great as 25 keV, which is directed onto a beamstop target, such that Rutherford backscattering, preferably near-surface backscattering occurs. The geometry, material composition and impurity concentration of the beam stop are predetermined, using any suitable conventional technique. The energy-yield characteristic response of backscattered particles is measured over a range of angles using a fast ion electrostatic analyzer having a microchannel plate array at its focal plane. The knee of the resulting yield curve, on a plot of yield versus energy, is analyzed to determine the energy species components of various beam particles having the same mass.

Kugel, H.W.; Kaita, R.

1983-09-26T23:59:59.000Z

312

Industrial Application of High Combustion Intensity Systems and Energy Conservation Implications  

E-Print Network (OSTI)

In the past decade industrial combustion technology has been advanced through adaptations of the equipment operating with dramatically reduced excess air requirements and use of air preheat techniques. The importance of operating industrial combustion equipment at stoichiometric conditions is emphasized. The calculated fuel savings resulting from elimination of excess air and use of heat recovery air preheat are reviewed. Design parameters for the aerodynamic design and control of the combustion process are quantified for vortex stabilized systems. Design analyses of the fuel injectors used with gaseous, liquid and pulverized coal fuels are also presented. The resulting high intensity combustion systems evolved are illustrated with photographs of flames in actual installations and during equipment development testing. Attention to detail in equipment manufacture and proper field adjustment of combustion equipment is essential in achieving the dramatic fuel savings that are possible.

Williams, F. D. M.; Anderson, L. E.

1982-01-01T23:59:59.000Z

313

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.

314

Laser sustained discharge nozzle apparatus for the production of an intense beam of high kinetic energy atomic species  

DOE Patents (OSTI)

Laser sustained discharge apparatus for the production of intense beams of high kinetic energy atomic species. A portion of the plasma resulting from a laser sustained continuous optical discharge which generates energetic atomic species from a gaseous source thereof is expanded through a nozzle into a region of low pressure. The expanded plasma contains a significant concentration of the high kinetic energy atomic species which may be used to investigate the interaction of surfaces therewith. In particular, O-atoms having velocities in excess of 3.5 km/s can be generated for the purpose of studying their interaction with materials in order to develop protective materials for spacecraft which are exposed to such energetic O-atoms during operation in low earth orbit.

Cross, Jon B. (Santa Fe, NM); Cremers, David A. (Los Alamos, NM)

1988-01-01T23:59:59.000Z

315

Experimental investigation of the trapping and energy loss mechanisms of intense relativistic electron rings in hydrogen gas and plasma  

DOE Green Energy (OSTI)

The results of an experimental study on the trapping and energy loss mechanisms of intense, relativistic electron rings confined in Astron-like magnetic field geometries are presented. The work is subdivided into four sections: gas trapping; average ring electron energetics; plasma trapping, and hollow-beam cusp-injection into gas and plasma. The mechanisms by which the injected beam coalesces into a current ring in the existing Cornell RECE-Berta facility are considered. To investigate the nature of ring electron energy loss mechanisms following completion of the trapping process, a diagnostic was developed utilizing multi-foil X-ray absorption spectroscopy to analyze the Bremsstrahlung generated by the electrons as they impinge upon a thin tungsten wire target suspended in the circulating current. Finally, a set of preliminary experimental results is presented in which an annular electron beam was passed through a coaxial, non-adiabatic magnetic cusp located at one end of a magnetic mirror well.

Smith, A.C. Jr.

1977-04-25T23:59:59.000Z

316

Laser sustained discharge nozzle apparatus for the production of an intense beam of high kinetic energy atomic species  

DOE Patents (OSTI)

Laser sustained discharge apparatus for the production of intense beams of high kinetic energy atomic species is described. A portion of the plasma resulting from a laser sustained continuous optical discharge which generates energetic atomic species from a gaseous source thereof is expanded through a nozzle into a region of low pressure. The expanded plasma contains a significant concentration of the high kinetic energy atomic species which may be used to investigate the interaction of surfaces therewith. In particular, O-atoms having velocities in excess of 3.5 km/s can be generated for the purpose of studying their interaction with materials in order to develop protective materials for spacecraft which are exposed to such energetic O-atoms during operation in low earth orbit.

Cross, J.B.; Cremers, D.A.

1986-01-10T23:59:59.000Z

317

GRPANL: a program for fitting complex peak groupings for gamma and x-ray energies and intensities  

SciTech Connect

GRPANL is a general-purpose peak-fitting program that calculates gamma-ray and x-ray energies and intensities from a given spectral region. The program requires that the user supply input information such as the first and last channels of the region, the channels to be used as pre- and post-region background, the system gain and zero-intercept, and a list of approximate energy values at which peaks occur in the region. Because the peak position and peak-shape parameters enter nonlinearly into the peak-fitting algorithm, an iterative least-square procedure is used in the fitting process. The program iterates until either all convergence criteria are met or ten iterations have elapsed. The code described here allows for twenty free parameters and a region as large as 240 data channels. This code runs on an LSI-11 computer with 32K memory and disk-storage capability.

Gunnink, R.; Ruhter, W.D.

1980-01-01T23:59:59.000Z

318

,"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"

319

,"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"

320

U.S. Energy Information Administration (EIA) - Sector  

Gasoline and Diesel Fuel Update (EIA)

expenditures decline relative to gross domestic product and gross output Total U.S. energy expenditures decline relative to GDP in the AEO2012 Reference case (Figure 62)...

Note: This page contains sample records for the topic "gross energy intensity" 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

Resonant energy conversion of 3-minute intensity oscillations into Alfven waves in the solar atmosphere  

E-Print Network (OSTI)

Nonlinear coupling between 3-minute oscillations and Alfven waves in the solar lower atmosphere is studied. 3-minute oscillations are considered as acoustic waves trapped in a chromospheric cavity and oscillating along transversally inhomogeneous vertical magnetic field. It is shown that under the action of the oscillations the temporal dynamics of Alfven waves is governed by Mathieu equation. Consequently, the harmonics of Alfven waves with twice period and wavelength of 3-minute oscillations grow exponentially in time near the layer where the sound and Alfven speeds equal. Thus the 3-minute oscillations are resonantly absorbed by pure Alfven waves near this resonant layer. The resonant Alfven waves may penetrate into the solar corona taking energy from the chromosphere. Therefore the layer c_s=v_A may play a role of energy channel for otherwise trapped acoustic oscillations.

D. Kuridze; T. V. Zaqarashvili

2007-03-19T23:59:59.000Z

322

A study of fast electron energy transport in relativistically intense laser-plasma interactions with large density scalelengths  

SciTech Connect

A systematic experimental and computational investigation of the effects of three well characterized density scalelengths on fast electron energy transport in ultra-intense laser-solid interactions has been performed. Experimental evidence is presented which shows that, when the density scalelength is sufficiently large, the fast electron beam entering the solid-density plasma is best described by two distinct populations: those accelerated within the coronal plasma (the fast electron pre-beam) and those accelerated near or at the critical density surface (the fast electron main-beam). The former has considerably lower divergence and higher temperature than that of the main-beam with a half-angle of {approx}20 Degree-Sign . It contains up to 30% of the total fast electron energy absorbed into the target. The number, kinetic energy, and total energy of the fast electrons in the pre-beam are increased by an increase in density scalelength. With larger density scalelengths, the fast electrons heat a smaller cross sectional area of the target, causing the thinnest targets to reach significantly higher rear surface temperatures. Modelling indicates that the enhanced fast electron pre-beam associated with the large density scalelength interaction generates a magnetic field within the target of sufficient magnitude to partially collimate the subsequent, more divergent, fast electron main-beam.

Scott, R. H. H.; Norreys, P. A. [Department of Physics, Blackett Laboratory, Imperial College London, Prince Consort Road, London, SW7 2AZ (United Kingdom); Central Laser Facility, STFC Rutherford Appleton Laboratory, Harwell Oxford, Didcot, Oxford OX11 0QX (United Kingdom); Perez, F.; Baton, S. D. [LULI, Ecole Polytechnique, UMR 7605, CNRS/CEA/UPMC, Route de Saclay, 91128 Palaiseau (France); Santos, J. J.; Nicolai, Ph.; Hulin, S. [Univ. Bordeaux/CNRS/CEA, CELIA, UMR 5107, 33405 Talence (France); Ridgers, C. P. [Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU (United Kingdom); Department of Physics, Blackett Laboratory, Imperial College London, Prince Consort Road, London, SW7 2AZ (United Kingdom); Davies, J. R. [GoLP, Instituto de Plasmas e Fusao Nuclear - Laboratorio Associado, Instituto Superior Tecnico, 1049-001 Lisboa (Portugal); Lancaster, K. L.; Trines, R. M. G. M. [Central Laser Facility, STFC Rutherford Appleton Laboratory, Harwell Oxford, Didcot, Oxford OX11 0QX (United Kingdom); Bell, A. R.; Tzoufras, M. [Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU (United Kingdom); Central Laser Facility, STFC Rutherford Appleton Laboratory, Harwell Oxford, Didcot, Oxford OX11 0QX (United Kingdom); Rose, S. J. [Department of Physics, Blackett Laboratory, Imperial College London, Prince Consort Road, London, SW7 2AZ (United Kingdom)

2012-05-15T23:59:59.000Z

323

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

324

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

325

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

326

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

327

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

328

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

329

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

330

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

331

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

332

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

333

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

334

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

335

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

336

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

337

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

338

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

339

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

340

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

Note: This page contains sample records for the topic "gross energy intensity" 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

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

342

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

343

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

344

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

345

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

346

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

347

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

348

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

349

A Comparison of Iron and Steel Production Energy Use and Energy Intensity in China and the U.S.  

E-Print Network (OSTI)

Mt, net imported Direct-Reduced Iron (DRI) in 2006 was 2.61in Figure 3) pig iron, direct-reduced iron (DRI), pellets,of net imported direct reduced iron Energy used for the

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

350

Energy Use Intensity and its Influence on the Integrated Daylighting Design of a Large Net Zero Energy Building: Preprint  

SciTech Connect

Net-zero energy buildings generate as much energy as they consume and are significant in the sustainable future of building design and construction. The role of daylighting (and its simulation) in the design process becomes critical. In this paper we present the process the National Renewable Energy Laboratory embarked on in the procurement, design, and construction of its newest building, the Research Support Facility (RSF) - particularly the roles of daylighting, electric lighting, and simulation. With a rapid construction schedule, the procurement, design, and construction had to be tightly integrated; with low energy use. We outline the process and measures required to manage a building design that could expect to operate at an efficiency previously unheard of for a building of this type, size, and density. Rigorous simulation of the daylighting and the electric lighting control response was a given, but the oft-ignored disconnect between lighting simulation and whole-building energy use simulation had to be addressed. The RSF project will be thoroughly evaluated for its performance for one year; preliminary data from the postoccupancy monitoring efforts will also be presented with an eye toward the current efficacy of building energy and lighting simulation.

Guglielmetti , R.; Scheib, J.; Pless, S. D.; Torcellini , P.; Petro, R.

2011-03-01T23:59:59.000Z

351

,"U.S. Natural Gas Gross Withdrawals and Production"  

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

,"Workbook Contents" ,"U.S. Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

352

,"Other States Total Natural Gas Gross Withdrawals and Production...  

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

,"Workbook Contents" ,"Other States Total Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

353

,"New Mexico Natural Gas Gross Withdrawals and Production"  

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

,"Workbook Contents" ,"New Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

354

Gross Wash Project in Washers of Red Mud Filtration  

Science Conference Proceedings (OSTI)

About this Abstract. Meeting, 2013 TMS Annual Meeting & Exhibition. Symposium , Alumina and Bauxite. Presentation Title, Gross Wash Project in Washers of...

355

,"Texas State Offshore Natural Gas Gross Withdrawals and Production...  

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

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

356

,"Alabama State Offshore Natural Gas Gross Withdrawals and Production...  

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

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

357

,"West Virginia Natural Gas Gross Withdrawals and Production...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

358

,"New Mexico Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

359

,"LA, State Offshore Natural Gas Gross Withdrawals and Production...  

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

LA, State Offshore Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

360

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

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

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

Note: This page contains sample records for the topic "gross energy intensity" 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

,"New York Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Gross Withdrawals and Production",10,"Annual",2012,"6301967" ,"Release Date:","1212...

362

,"South Dakota Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

363

,"North Dakota Natural Gas Gross Withdrawals and Production"  

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

Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals and Production",11,"Annual",2012,"6301967" ,"Release Date:","1212...

364

,"Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

365

,"California Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

366

,"Nevada Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Nevada Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","...

367

,"Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

368

,"Oregon Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Oregon Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","...

369

,"New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

370

,"West Virginia Natural Gas Gross Withdrawals from Shale Gas...  

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

,"Workbook Contents" ,"West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

371

,"Pennsylvania Natural Gas Gross Withdrawals from Shale Gas ...  

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

,"Workbook Contents" ,"Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

372

,"Utah Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","...

373

,"Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","...

374

,"Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

375

,"Illinois Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Illinois Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

376

,"Florida Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

377

,"Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

378

,"Missouri Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

379

,"Alabama Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Alabama Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

380

,"New York Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

Note: This page contains sample records for the topic "gross energy intensity" 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

,"Texas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","...

382

,"North Dakota Natural Gas Gross Withdrawals from Shale Gas ...  

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

,"Workbook Contents" ,"North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

383

,"Arizona Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Arizona Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

384

,"Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

385

,"Maryland Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

386

,"Indiana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

387

,"Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

388

,"Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

389

,"Michigan Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

390

,"Montana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

391

,"Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

392

,"Colorado Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

393

,"Ohio Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

,"Workbook Contents" ,"Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","...

394

,"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",2011,"6301977"...

395

,"California Natural Gas Gross Withdrawals Total Offshore (MMcf...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2011 ,"Release...

396

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

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 (MMcf)",1,"Annual",2011 ,"Release...

397

,"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",2011,"6301977" ,"Release...

398

Drivers of gross margins in UK retail electricity.  

E-Print Network (OSTI)

?? This thesis aims at explaining why the UK residential electricity (retail) market enjoys high gross margins in comparison to Vattenfalls markets in for example (more)

Trnqvist, Dan

2007-01-01T23:59:59.000Z

399

,"West Virginia Natural Gas Gross Withdrawals from Shale Gas...  

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

PM" "Back to Contents","Data 1: West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSWVMMCF" "Date","West Virginia...

400

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

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2011 ,"Release...

Note: This page contains sample records for the topic "gross energy intensity" 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

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

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Offshore Natural Gas Gross Withdrawals and Production",1,"Annual",2011,"6301977"...

402

,"Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)"  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2011 ,"Release...

403

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

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

View History: Monthly Annual Download Data (XLS File) No chart available. South Dakota Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1...

404

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

Annual Energy Outlook 2012 (EIA)

View History: Monthly Annual Download Data (XLS File) No chart available. South Dakota Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Year Jan Feb Mar Apr...

405

South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

View History: Monthly Annual Download Data (XLS File) No chart available. South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1...

406

High intensity discharge lamp self-adjusting ballast system sensitive to the radiant energy or heat of the lamp  

SciTech Connect

This patent describes a self-adjusting ballast system for mercury vapor, high intensity discharge lamps having outputs of 100 watts or greater, comprising: a direct current source; a lamp circuit containing a high intensity discharge lamp; sensing means for sensing the radiant energy output of the lamp; a pulse width modulator which, in response to the output of the sensing means, varies the width of the pulses that power the lamp during warm-up of the lamp; a high frequency oscillator; a DC to AC converter that converts current from the direct source to pulses of alternating current for powering the lamp, the converter comprising: at least one switch for gating current to the lamp; a switch control means, responsive to the high frequency oscillator, for controlling the switch and controlling the frequency of the alternating current pulses that power the lamp; current sensing means for sensing the current being supplied to the lamp; and current control means for limiting the current through the lamp to a predetermined safe level when the current sensed by the current sensing means exceeds a reference value.

Kuhnel, D.S.; Ottenstein, S.A.

1987-07-21T23:59:59.000Z

407

Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm  

SciTech Connect

The Southern California Edison Company (SCE) has conducted an extensive metering project in which electricity end use in 53 commercial buildings in Southern California has been measured. The building types monitored include offices, retail stores, groceries, restaurants, and warehouses. One year (June 1989 through May 1990) of the SCE measured hourly end-use data are reviewed in this report. Annual whole-building and end-use energy use intensities (EUIs) and monthly load shapes (LSs) have been calculated for the different building types based on the monitored data. This report compares the monitored buildings' EUIs and LSs to EUIs and LSs determined using whole-building load data and the End-Use Disaggregation Algorithm (EDA). Two sets of EDA determined EUIs and LSs are compared to the monitored data values. The data sets represent: (1) average buildings in the SCE service territory and (2) specific buildings that were monitored.

Akbari, H.; Rainer, L.; Heinemeier, K.; Huang, J.; Franconi, E.

1993-01-01T23:59:59.000Z

408

Probing TeV Left-Right Seesaw at Energy and Intensity Frontiers: a Snowmass White Paper  

E-Print Network (OSTI)

We discuss ways to probe the origin of neutrino masses at the Energy and Intensity frontiers, in TeV-scale left-right seesaw models where small neutrino masses arise via type-I seesaw mechanism. We consider generic ('vanilla') version of such models as well as a version which leads to 'large' light-heavy neutrino mixing while keeping the neutrino masses small in a natural manner. We point out specific observable implications of these classes of models at the LHC as well as in searches for lepton flavor violating processes such as $\\mu\\to e\\gamma$ and $\\mu\\to 3e$, and also in searches for lepton number violating neutrinoless double beta decay.

P. S. Bhupal Dev; R. N. Mohapatra

2013-08-09T23:59:59.000Z

409

U.S. Energy Information Administration (EIA) - Source  

Gasoline and Diesel Fuel Update (EIA)

Economic Activity AEO 2013 Trends in economic activity Economic Activity AEO 2013 Trends in economic activity Mkt trends Market Trends Productivity and investment offset slow growth in labor force...Read full section Slow consumption growth, rapid investment growth, and an increasing trade surplus...Read full section Energy-intensive industries show strong early growth in output...Read full section Energy expenditures decline relative to gross domestic product and gross output...Read full section In the United States, average energy use per person declines from 2010 to 2040...Read full section Iron and steel, cement, and glass industries are most sensitive to economic growth rate...Read full section Energy use reflects output and efficiency trends in energy-intensive industries...Read full section Metal-based durable goods show the fastest growth among

410

U.S. Energy Information Administration (EIA) - Source  

Gasoline and Diesel Fuel Update (EIA)

Economic Activity AEO 2013 Trends in economic activity Economic Activity AEO 2013 Trends in economic activity Mkt trends Market Trends Productivity and investment offset slow growth in labor force...Read full section Slow consumption growth, rapid investment growth, and an increasing trade surplus...Read full section Energy-intensive industries show strong early growth in output...Read full section Energy expenditures decline relative to gross domestic product and gross output...Read full section In the United States, average energy use per person declines from 2010 to 2040...Read full section Iron and steel, cement, and glass industries are most sensitive to economic growth rate...Read full section Energy use reflects output and efficiency trends in energy-intensive industries...Read full section Metal-based durable goods show the fastest growth among

411

National Level Co-Control Study of the Targets for Energy Intensity and Sulfur Dioxide in China  

E-Print Network (OSTI)

Steel Industry: An ENERGY STAR Guide for Energy and PlantAn ENERGY STAR Guide for Energy and Plant Managers.

Zhou, Nan

2013-01-01T23:59:59.000Z

412

Design features of high-intensity medium-energy superconducting heavy-ion Linac.  

DOE Green Energy (OSTI)

The proposed Rare Isotope Accelerator (RIA) requires the construction of a cw 1.4 GV superconducting (SC) linac that is capable of producing 400 kW beams of all ions from protons at 900 MeV to uranium at 400 MeV/u. The design of such a linac was outlined at the previous Linac conference. This linac will accelerate multiple-charge-states (multi-q) of the heaviest ion beams, for which the beam current is limited by ion-source performance. The linac consists of two different types of accelerating and focusing lattice: for uranium below {approx}85 MeV/u the focusing is provided by SC solenoids installed in cryostats with the SC resonators while in the high-beta section the focusing elements are located outside of the cryostats. A detailed design has been developed for the focusing-accelerating lattice of the linac. Beam dynamics studies have been performed with the goal of optimization of the linac structure in order to reduce a possible effective emittance growth of the multi-q uranium beam. A wide tuning range of the accelerating and focusing fields is required for acceleration of the variety of ions with different charge-to-mass ratios to the highest possible energy in single charge state mode. The focusing must be retuned for different ion masses to avoid resonance coupling between the transverse and longitudinal motions. Any visible impact of this coupling on the formation of beam halo must be avoided due to the high beam power.

Ostroumov, P. N.

2002-09-20T23:59:59.000Z

413

Measuring Changes in Energy Efficiency for the Annual Energy Outlook 2002  

Gasoline and Diesel Fuel Update (EIA)

Changes in Energy Efficiency Changes in Energy Efficiency for the Annual Energy Outlook 2002 by Steven H. Wade This paper describes the construction of an aggregate energy efficiency index based on projections of sectoral and subsector energy consumption and subsector-specific energy service indicators. The results are compared with the ratio energy to real gross domestic product, which typically is pre- sented as a measure of energy intensity. Introduction Energy efficiency and conservation are currently impor- tant components of the debate about the direction of future energy policy. Measuring the actual energy effi- ciency of the U.S. economy is a daunting task because of the immense data requirements for a proper calculation. Appropriate data are difficult to obtain, and as a result historical descriptions of the economy usually are sum- marized in two energy intensity measures: (1) energy

414

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

415

Energy outlook for the eighties  

SciTech Connect

Energy Information Administration (EIA) forecasts assume a 3.1% annual economic growth between 1985 and 1990 and a 2.3% rate between 1990 and 1995. Current projections are for lower prices and higher consumption for petroleum and little change in natural gas markets. Total energy consumption is expected to grow by 2% between 1985 and 1990, with energy consumption per dollar of gross national product declining at about 1% per year. These projections are lower than those made previously because of the drop in world oil prices, the renewed strength in energy-intensive industries, and a strong trend toward electrification.

Montgomery, D.W.

1985-08-01T23:59:59.000Z

416

National Level Co-Control Study of the Targets for Energy Intensity and Sulfur Dioxide in China  

E-Print Network (OSTI)

preferences, energy and technology costs, settlement andof Energy National Energy Technology Laboratory (NETL).and MAIN. 1993. Energy Technology in the Cement Industrial

Zhou, Nan

2013-01-01T23:59:59.000Z

417

International Energy Outlook 2013 - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

International Energy Outlook 2013 International Energy Outlook 2013 Release Date: July 25, 2013 | Next Release Date: July 2014 (See release cycle changes) | correction | Report Number: DOE/EIA-0484(2013) Correction/Update July 27th A stray "2010" was left in the middle of Figure 1. August 1st Figure title changes (PDF only): Figure 10. World energy-related carbon dioxide emissions by fuel type, 2010-2040 (billion metric tons) This should actually be: Figure 10. World energy-related carbon dioxide emissions by fuel type, 1990-2040 (billion metric tons) Figure 11. OECD and non-OECD carbon intensities, 1990-2040 (metric tons carbon dioxide emitted per million 2010 dollars of gross domestic product) This should actually be: Figure 11. OECD and non-OECD carbon intensities, 1990-2040 (metric tons

418

Twisted Grosse-Wulkenhaar $\\phi^{\\star 4}$ model: dynamical noncommutativity and Noether currents  

E-Print Network (OSTI)

This paper addresses the computation of Noether currrents for the renormalizable Grosse-Wulkenhaar (GW) $\\phi^{\\star 4}$ model subjected to a dynamical noncomutativity realized through a twisted Moyal product. The noncommutative (NC) energy-momentum tensor (EMT), angular momentum tensor (AMT) and the dilatation current (DC) are explicitly derived. The breaking of translation and rotation invariances has been avoided via a constraint equation.

Hounkonnou, Mahouton Norbert

2009-01-01T23:59:59.000Z

419

Automatic Detection of Learner's Affect From Gross Body Language  

Science Conference Proceedings (OSTI)

We explored the reliability of detecting learners' affect by monitoring their gross body language (body position and arousal) during interactions with an intelligent tutoring system called AutoTutor. Training and validation data on affective states were ...

Sidney D'Mello; Art Graesser

2009-02-01T23:59:59.000Z

420

Gulf of Mexico Natural Gas Gross Withdrawals and Production  

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

sure that JavaScript is enabled in your browser Natural Gas Gross Withdrawals and Production (Volumes in Million Cubic Feet) Area: U.S. U.S. Offshore U.S. State Offshore Federal...

Note: This page contains sample records for the topic "gross energy intensity" 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

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

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

View History: Monthly Annual Download Data (XLS File) No chart available. Texas Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

422

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

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

View History: Monthly Annual Download Data (XLS File) No chart available. Texas Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

423

,"U.S. Natural Gas Gross Withdrawals and Production"  

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

,,"(202) 586-8800",,,"12122013 7:02:08 PM" "Back to Contents","Data 1: U.S. Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010US2","N9011US2","N9012US2","NGMEPG...

424

Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Data (XLS File) No chart available. Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

425

Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Download Data (XLS File) No chart available. Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

426

Florida Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Download Data (XLS File) No chart available. Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

427

Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

Download Data (XLS File) No chart available. Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

428

Oregon Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Download Data (XLS File) No chart available. Oregon Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

429

Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...  

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

No chart available. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

430

Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

431

Arizona Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Download Data (XLS File) No chart available. Arizona Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

432

Indiana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Download Data (XLS File) No chart available. Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

433

Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Data (XLS File) No chart available. Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

434

Maryland Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

435

Missouri Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

436

Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Download Data (XLS File) No chart available. Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

437

Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...  

Annual Energy Outlook 2012 (EIA)

Download Data (XLS File) No chart available. Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

438

Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Data (XLS File) No chart available. Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

439

Florida Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Download Data (XLS File) No chart available. Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

440

Indiana Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Download Data (XLS File) No chart available. Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

Note: This page contains sample records for the topic "gross energy intensity" 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

Arizona Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Download Data (XLS File) No chart available. Arizona Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

442

Missouri Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

443

Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Data (XLS File) No chart available. Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

444

Nevada Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Download Data (XLS File) No chart available. Nevada Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

445

Alabama Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Download Data (XLS File) No chart available. Alabama Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

446

New York Natural Gas Gross Withdrawals from Shale Gas (Million...  

Annual Energy Outlook 2012 (EIA)

Data (XLS File) No chart available. New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

447

Alabama Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Download Data (XLS File) No chart available. Alabama Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

448

Maryland Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

449

Nevada Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Download Data (XLS File) No chart available. Nevada Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

450

Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

451

Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Data (XLS File) No chart available. Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

452

Oregon Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Download Data (XLS File) No chart available. Oregon Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

453

Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

454

Illinois Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Data (XLS File) No chart available. Illinois Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

455

Illinois Natural Gas Gross Withdrawals from Shale Gas (Million...  

Gasoline and Diesel Fuel Update (EIA)

Data (XLS File) No chart available. Illinois Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

456

New York Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

Data (XLS File) No chart available. New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0...

457

Federal Offshore Louisiana Natural Gas Gross Withdrawals and...  

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

Sources & Notes Show Data By: Data Series Area 2006 2007 2008 2009 2010 2011 View History Gross Withdrawals NA NA NA NA NA NA 1977-2011 From Gas Wells NA NA NA NA NA NA...

458

,"Michigan Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMIMMCF" "Date","Michigan Natural...

459

,"Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:47 PM" "Back to Contents","Data 1: Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSWYMMCF" "Date","Wyoming Natural...

460

,"Missouri Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMOMMCF" "Date","Missouri Natural...

Note: This page contains sample records for the topic "gross energy intensity" 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

,"Nevada Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

2013 3:31:46 PM" "Back to Contents","Data 1: Nevada Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSNVMMCF" "Date","Nevada Natural...

462

,"New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSNMMMCF" "Date","New Mexico...

463

,"Oregon Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

2013 3:31:46 PM" "Back to Contents","Data 1: Oregon Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSORMMCF" "Date","Oregon Natural...

464

,"Indiana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:45 PM" "Back to Contents","Data 1: Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSINMMCF" "Date","Indiana Natural...

465

,"Pennsylvania Natural Gas Gross Withdrawals from Shale Gas ...  

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

3:31:46 PM" "Back to Contents","Data 1: Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSPAMMCF" "Date","Pennsylvania...

466

,"Texas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

2013 3:31:47 PM" "Back to Contents","Data 1: Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSTXMMCF" "Date","Texas Natural...

467

,"Utah Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

2013 3:31:47 PM" "Back to Contents","Data 1: Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSUTMMCF" "Date","Utah Natural Gas...

468

,"Ohio Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

2013 3:31:46 PM" "Back to Contents","Data 1: Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSOHMMCF" "Date","Ohio Natural Gas...

469

,"Florida Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:45 PM" "Back to Contents","Data 1: Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSFLMMCF" "Date","Florida Natural...

470

,"California Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:45 PM" "Back to Contents","Data 1: California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSCAMMCF" "Date","California...

471

,"Maryland Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMDMMCF" "Date","Maryland Natural...

472

,"Arizona Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:45 PM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSAZMMCF" "Date","Arizona Natural...

473

,"Virginia Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:47 PM" "Back to Contents","Data 1: Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSVAMMCF" "Date","Virginia Natural...

474

,"Colorado Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:45 PM" "Back to Contents","Data 1: Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSCOMMCF" "Date","Colorado Natural...

475

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

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

onshore Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 - No Data...

476

,"Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSOKMMCF" "Date","Oklahoma Natural...

477

,"Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:45 PM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSARMMCF" "Date","Arkansas Natural...

478

,"Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSNEMMCF" "Date","Nebraska Natural...

479

,"North Dakota Natural Gas Gross Withdrawals from Shale Gas ...  

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

3:31:46 PM" "Back to Contents","Data 1: North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSNDMMCF" "Date","North Dakota...

480

,"Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSTNMMCF" "Date","Tennessee...

Note: This page contains sample records for the topic "gross energy intensity" 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

,"Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMSMMCF" "Date","Mississippi...

482

,"Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSLAMMCF" "Date","Louisiana...

483

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

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

from Shale Gas (Million Cubic Feet) Texas--onshore Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

484

,"Alabama Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:45 PM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSALMMCF" "Date","Alabama Natural...

485

,"Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

2013 3:31:45 PM" "Back to Contents","Data 1: Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSKSMMCF" "Date","Kansas Natural...

486

,"Montana Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSMTMMCF" "Date","Montana Natural...

487

,"New York Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

3:31:46 PM" "Back to Contents","Data 1: New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSNYMMCF" "Date","New York Natural...

488

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

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

from Shale Gas (Million Cubic Feet) Louisiana--onshore Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

489

Colorado Natural Gas Gross Withdrawals (Million Cubic Feet)  

U.S. Energy Information Administration (EIA)

Colorado 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; 1960's: 128,014: 129,583 ...

490

Indiana, Illinois, Kentucky Refinery District Gross Inputs to ...  

U.S. Energy Information Administration (EIA)

Indiana, Illinois, Kentucky Refinery District Gross Inputs to Refineries (Thousand Barrels per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1985: 1,739 ...

491

South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million...  

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

View History: Monthly Annual Download Data (XLS File) No chart available. South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May...

492

,"New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf...  

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

,,"(202) 586-8800",,,"10312013 3:28:48 PM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)" "Sourcekey","N9011NM2"...

493

,"New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf...  

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

,,"(202) 586-8800",,,"10312013 3:28:51 PM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)" "Sourcekey","N9012NM2"...

494

National Level Co-Control Study of the Targets for Energy Intensity and Sulfur Dioxide in China  

Science Conference Proceedings (OSTI)

Since 2006, China has set goals of reducing energy intensity, emissions, and pollutants in multiple guidelines and in the Five Year Plans. Various strategies and measures have then been taken to improve the energy efficiency in all sectors and to reduce pollutants. Since controlling energy, CO{sub 2} emissions, and pollutants falls under the jurisdiction of different government agencies in China, many strategies are being implemented to fulfill only one of these objectives. Co-controls or integrated measures could simultaneously reduce greenhouse gas (GHG) emissions and criteria air pollutant emissions. The targets could be met in a more cost effective manner if the integrated measures can be identified and prioritized. This report provides analysis and insights regarding how these targets could be met via co-control measures focusing on both CO{sub 2} and SO{sub 2} emissions in the cement, iron &steel, and power sectors to 2030 in China. An integrated national energy and emission model was developed in order to establish a baseline scenario that was used to assess the impact of actions already taken by the Chinese government as well as planned and expected actions. In addition, CO{sub 2} mitigation scenarios and SO{sub 2} control scenarios were also established to evaluate the impact of each of the measures and the combined effects. In the power sector, although the end of pipe SO{sub 2} control technology such as flue gas desulfurization (FGD) has the largest reduction potential for SO{sub 2} emissions, other CO{sub 2} control options have important co-benefits in reducing SO{sub 2} emissions of 52.6 Mt of SO{sub 2} accumulatively. Coal efficiency improvements along with hydropower, renewable and nuclear capacity expansion will result in more than half of the SO{sub 2} emission reductions as the SO{sub 2} control technology through 2016. In comparison, the reduction from carbon capture and sequestration (CCS) is much less and has negative SO{sub 2} reductions potential. The expanded biomass generation scenario does not have significant potential for reducing SO{sub 2} emissions, because of its limited availability. For the cement sector, the optimal co-control strategy includes accelerated adoption of energy efficiency measures, decreased use of clinker in cement production, increased use of alternative fuels, and fuel-switching to biomass. If desired, additional SO{sub 2} mitigation could be realized by more fully adopting SO{sub 2} abatement mitigation technology measures. The optimal co-control scenario results in annual SO{sub 2} emissions reductions in 2030 of 0.16 Mt SO{sub 2} and annual CO{sub 2} emissions reductions of 76 Mt CO{sub 2}. For the iron and steel sector, the optimal co-control strategy includes accelerated adoption of energy efficiency measures, increased share of electric arc furnace steel production, and reduced use of coal and increased use of natural gas in steel production. The strategy also assumes full implementation of sinter waste gas recycling and wet desulfurization. This strategy results in annual SO{sub 2} emissions reductions in 2030 of 1.3 Mt SO{sub 2} and annual CO{sub 2} emissions reductions of 173 Mt CO{sub 2}.

Zhou, Nan; Price, Lynn; Zheng, Nina; Ke, Jing; Hasanbeigi, Ali

2011-10-15T23:59:59.000Z

495

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

496

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

497

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

498

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

499

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

500

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