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Note: This page contains sample records for the topic "gross energy intensity" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

Modelling of CO2 content in the atmosphere until 2300: influence of energy intensity of gross domestic product and carbon intensity of energy  

Science Journals Connector (OSTI)

The study provides a model of CO2 content in the atmosphere based on the global carbon cycle and the Kaya identity. The influences of: 1) energy intensity of GDP; 2) carbon intensity of energy on CO2 trajectories are given under four scenarios. The results from the most optimistic and technologically challenging scenario show that the atmospheric CO2 concentration can stabilise at 610 ppmv. It is also shown that the annual growth rates of atmospheric CO2 peak for all the scenarios before 2100 due to the expected world population peak in 2075 and the large share of fossil fuel energy.

Wojciech M. Budzianowski

2013-01-01T23:59:59.000Z

2

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

3

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

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

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

7

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

8

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

9

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...

Rappolee, D.; Shaw, J.

2008-01-01T23:59:59.000Z

10

Gross Energy Cost of Horizontal Treadmill and Track Running  

Science Journals Connector (OSTI)

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

Dr L. Lger; D. Mercier

1984-07-01T23:59:59.000Z

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

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

13

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)

14

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

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

teChnologIes Program IntroduCtIon the research and development (r&d) portfolio for energy-Intensive Processes (eIP) addresses the top technology opportunities to save energy...

15

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

16

Changes in Energy Intensity 1985-1991  

Gasoline and Diesel Fuel Update (EIA)

Changes in Energy Intensity Changes in Energy Intensity 1985-1991 Overview Full Report The focus is on intensity of energy use measured by energy consumption relative to constant...

17

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

18

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

19

Energy Intensity Baselining and Tracking Guidance  

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

Learn more at betterbuildings.energy.gov Energy Intensity Baselining and Tracking Guidance i Preface The U.S. Department of Energy's (DOE) Better Buildings, Better Plants Program...

20

Energy Intensity Baselining and Tracking Guidance  

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

The Energy Intensity Baselining and Tracking Guidance for the Better Buildings, Better Plants Program helps companies meet the programs reporting requirements by describing the steps necessary to develop an energy consumption and energy intensity baseline and calculating consumption and intensity changes over time.

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

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

22

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

world best practice energy intensity values for productionWorld best practice energy intensity values for productionWorld Best Practice Final Energy Intensity Values for Aluminium Production (

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

2007-01-01T23:59:59.000Z

23

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

Best Practice Final Energy Intensity Values for Stand-AloneBest Practice Final Energy Intensity Values for Stand-AloneBest Practice Primary Energy Intensity Values for Stand-

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

2007-01-01T23:59:59.000Z

24

Impact Factors of Energy Intensity in China  

E-Print Network (OSTI)

Energy intensity reflects energy usage efficiency in the production and consumption process, and leads to carbon dioxide emissions and the energy security of an economy. Liao et al. (2007) analyzed factors contribute to the fluctuation of Chinas energy intensity from 1997 to 2006, and found that efficiency effects and structural effects are the major impacting factors. Therefore, they suggested that China should attach more importance to optimizing its sectoral structure, and lowering its investment ratio in the future. However, economic development and energy intensity are influenced by many factors. In their research, Liao et al. (2007) omitted some important contributing factors to energy intensities, and their suggestions also had some practical limitations. First of all, Liao et al. (2007) did not analyze impacts from energy prices in energy usage efficiency. In the existing literature, Birol and Keppler (2000) applied economics theory and suggested that higher energy prices can induce the improvements in energy usage efficiency, thereby lowering energy intensity. Hang and Tu (2007) studied the influence of energy price on the Chinese economy's energy intensity and their empirical results also showed that higher energy prices can lower energy intensity. Because energy prices have been regulated by the

unknown authors

25

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

26

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

27

Sustaining Performance Improvements in Energy Intensive Industries  

E-Print Network (OSTI)

Experience has shown that significant opportunity for performance improvements exists in energy intensive operations. Often, efforts to improve efficiency focus on vendor-led initiatives to improve operations of particular equipment. This approach...

Moore, D. A.

2005-01-01T23:59:59.000Z

28

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.

29

Analysis of the Energy Intensity of Industries in California  

E-Print Network (OSTI)

the aggregate energy-intensity of industry. Applied Energyindustries with final energy intensities of 12.3 Billion BtuAs mentioned, the energy intensity of this sector is much

Can, Stephane de la Rue du

2014-01-01T23:59:59.000Z

30

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

E-Print Network (OSTI)

as energy use per unit of gross domestic product (GDP) byas energy use per unit of gross domestic product (GDP) by

Zhou, Nan

2013-01-01T23:59:59.000Z

31

China-Energy Intensity Reduction Strategy | Open Energy Information  

Open Energy Info (EERE)

Website http:www.esmap.orgfilezpub Country China Eastern Asia References China Energy Intensity Reduction Strategy1 Overview "The study involves the development of...

32

Measuring energy efficiency: Is energy intensity a good evidence base?  

Science Journals Connector (OSTI)

Abstract There is a widespread assumption in energy statistics and econometrics that energy intensity and energy efficiency are equivalent measures of energy performance of economies. The paper points to the discrepancy between the engineering concept of energy efficiency and the energy intensity as it is understood in macroeconomic statistics. This double discrepancy concerns definitions (while engineering concept of energy efficiency is based on the thermodynamic definition, energy intensity includes economic measures) and use. With regard to the latter, the authors conclude that energy intensity can only provide indirect and delayed evidence of technological and engineering energy efficiency of energy conversion processes, which entails shortcomings for management and policymaking. Therefore, we suggest to stop considering subsectoral, sectoral and other levels of energy intensities as aggregates of lower-level energy efficiency. It is suggested that the insufficiency of energy intensity indicators can be compensated with the introduction of thermodynamic indicators describing energy efficiency at the physical, technological, enterprise, sub-sector, sectoral and national levels without references to any economic or financial parameters. Structured statistical data on thermodynamic efficiency is offered as a better option for identifying break-through technologies and technological bottle-necks that constrain efficiency advancements. It is also suggested that macro-level thermodynamic indicators should be based on the thermodynamic first law efficiency and the energy quality problem may be left to enterprise-level thermoeconomic optimization.

L. Proskuryakova; A. Kovalev

2015-01-01T23:59:59.000Z

33

ITP Energy Intensive Processes: Improved Heat Recovery in Biomass...  

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

Energy Intensive Processes: Improved Heat Recovery in Biomass-Fired Boilers ITP Energy Intensive Processes: Improved Heat Recovery in Biomass-Fired Boilers biomass-firedboilers.pd...

34

Reducing Industrial Energy Intensity in the Southeast Project...  

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

Industrial Energy Intensity in the Southeast Project Fact Sheet Reducing Industrial Energy Intensity in the Southeast Project Fact Sheet This fact sheet contains details regarding...

35

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

36

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

37

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

E-Print Network (OSTI)

R. Schaeffer, 1997, Energy Intensity in the Iron and Steelwhich is the ratio of the actual energy intensity to thebest practice energy intensity, where the best practice

Price, Lynn; Worrell, Ernst; Phylipsen, Dian

1999-01-01T23:59:59.000Z

38

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

E-Print Network (OSTI)

Benchmarking the Energy Intensity for the Textile Industryand Comparing the Energy Intensity in the Textile Industrywere visited. The energy intensity of each plant was

Hasanbeigi, Ali

2014-01-01T23:59:59.000Z

39

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

E-Print Network (OSTI)

23 5.3 Energy Use and Energy Intensity of Chlorine44314 Energy Use and Energy Intensity of the U.S. ChemicalEnergy Use and Energy Intensity of the U.S. Chemical

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

2000-01-01T23:59:59.000Z

40

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

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

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,...

42

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.

43

ANALYSIS ON THE MAJOR INFLUENCE FACTORS OF ENERGY INTENSITY CHANGING  

E-Print Network (OSTI)

Based on the energy intensity data of period 1990-2008, this paper uses impulse response function and variance decomposition model to empirical analysis the main influencing factors and effects of energy intensity,. The empirical results show that: the energy intensity of itself, and the proportion of secondary industry have a larger impact on energy intensity; the change of energy price and technological progress also play a certain impact on energy intensity; and the link with the internal relations and interaction mechanisms, which can play an active role in improving energy efficiency.

Xia Wang; Lu Tang

44

AN INTENSE LOW ENERGY MUON SOURCE FOR THE MUON COLLIDER  

E-Print Network (OSTI)

AN INTENSE LOW ENERGY MUON SOURCE FOR THE MUON COLLIDER D. Taqqu Paul Scherrer Institut, Villigen, CH Abstract A scheme for obtaining an intense source of low energy muons is described. It is based of the decay muons an intense intermediate energy muon beam is obtained. For the specific case of negative

McDonald, Kirk

45

Energy-dependent scattering and the Gross-Pitaevskii equation in two-dimensional Bose-Einstein condensates  

Science Journals Connector (OSTI)

We consider many-body effects on particle scattering in one-, two-, and three-dimensional (3D) Bose gases. We show that at T=0 these effects can be modeled by the simpler two-body T matrix evaluated off the energy shell. This is important in 1D and 2D because the two-body T matrix vanishes at zero energy and so mean-field effects on particle energies must be taken into account to obtain a self-consistent treatment of low-energy collisions. Using the off-shell two-body T matrix we obtain the energy and density dependence of the effective interaction in 1D and 2D and the appropriate Gross-Pitaevskii equations for these dimensions. Our results provide an alternative derivation of those of Kolomeisky and co-workers. We present numerical solutions of the Gross-Pitaevskii equation for a 2D condensate of hard-sphere bosons in a trap. We find that the interaction strength is much greater in 2D than for a 3D gas with the same hard-sphere radius. The Thomas-Fermi regime is, therefore, approached at lower condensate populations and the energy required to create vortices is lowered compared to the 3D case.

M. D. Lee; S. A. Morgan; M. J. Davis; K. Burnett

2002-04-10T23:59:59.000Z

46

Energy resource management for energy-intensive manufacturing industries  

SciTech Connect

A program to introduce energy resource management into an energy-intensive manufacturing industry is presented. The food industry (SIC No. 20) was chosen and 20 companies were selected for interviews, but thirteen were actually visited. The methodology for this program is detailed. Reasons for choosing the food industry are described. The substance of the information gained and the principal conclusions drawn from the interviews are given. Results of the model Energy Resource Management Plan applied to three companies are compiled at length. Strategies for dissemination of the information gained are described. (MCW)

Brenner, C.W.; Levangie, J.

1981-10-01T23:59:59.000Z

47

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

48

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.

49

Analysis and Decomposition of the Energy Intensity of Industries in California  

E-Print Network (OSTI)

World Best Practice Energy Intensity Values for Selectedworld-best-practice-energy-intensity-values- selected-2005. Changes in energy intensities of Thai industry between

Can, Stephane de la Rue de

2014-01-01T23:59:59.000Z

50

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

51

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

52

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

53

Automated Checkpointing for Enabling Intensive Applications on Energy Harvesting Devices  

E-Print Network (OSTI)

Automated Checkpointing for Enabling Intensive Applications on Energy Harvesting Devices Azalia intensive computation on ultra-low power devices with discontinuous energy-harvesting supplies. We devise on a battery-less RF energy-harvester platform. Extensive experiments targeting applications in medical implant

54

BEAM INTENSITY AND ENERGY CONTROL FOR THE SPIRAL2 FACILITY  

E-Print Network (OSTI)

BEAM INTENSITY AND ENERGY CONTROL FOR THE SPIRAL2 FACILITY C. Jamet, T. Andre, B. Ducoudret, C to control both beam intensity and energy by non-interceptive methods at the linac exit. The beam current will range in intensity from a few 10 A to 1mA for ions, up to 5 mA for deuterons, and in energy from 0.75 up

Paris-Sud XI, Université de

55

Reducing Industrial Energy Intensity in the Southeast Project...  

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

Authority and its project partners will establish the Southeastern Center for Industrial Energy Intensity Reduction (the Center) to inform industrial facilities about the U.S....

56

Comparison of International Energy Intensities across the G7...  

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

Comparison of International Energy Intensities across the G7 and other parts of Europe, including Ukraine Elizabeth Sendich November 2014 Independent Statistics & Analysis...

57

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.

58

Universal formula for the energy--momentum tensor via a flow equation in the Gross--Neveu model  

E-Print Network (OSTI)

For the fermion field in the two-dimensional Gross--Neveu model, we introduce a flow equation that allows a simple $1/N$ expansion. By employing the $1/N$ expansion, we examine the validity of a universal formula for the energy--momentum tensor which is based on the small flow-time expansion. We confirm that the formula reproduces a correct normalization and the conservation law of the energy--momentum tensor by computing the translation Ward--Takahashi relation in the leading non-trivial order in the $1/N$ expansion. Also we confirm that the expectation value at finite temperature correctly reproduces thermodynamic quantities. These observations support the validity of a similar construction of the energy--momentum tensor via the gradient/Wilson flow in lattice gauge theory.

Suzuki, Hiroshi

2015-01-01T23:59:59.000Z

59

China targets 20% reduction in energy intensity by 2010  

Science Journals Connector (OSTI)

Though China has made great achievement in energy conservation in the last two decades, its energy consumption is increasing rapidly. In March 2006, China's government set a target for reducing its energy intensity by 20% by 2010 compared to the 2005 value. In this paper, we analyse China's current energy efficiency situations, and put forward some policy implications on energy saving.

Hua Liao; Ying Fan; Yi-Ming Wei

2009-01-01T23:59:59.000Z

60

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

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

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.

62

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

E-Print Network (OSTI)

of Iron and Steel Production Energy Use and Energy Intensityof Iron and Steel Production Energy Intensity in China andof Iron and Steel Production Energy Intensity in China and

Price, Lynn

2014-01-01T23:59:59.000Z

63

Southeastern Center for Industrial Energy Intensity Reduction  

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

The U.S. Department of Energys (DOEs) Advanced Manufacturing Office (AMO; formerly the Industrial Technologies Program) has developed multiple resources and a best practices suite of tools to...

64

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

65

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

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

Buildings Federal Award challenges agencies to achieve the greatest reduction in annual energy intensity, or energy consumed per gross square foot. This year's winner cut its...

66

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

67

Energy Policy 35 (2007) 52675286 The implications of the historical decline in US energy intensity  

E-Print Network (OSTI)

Energy Policy 35 (2007) 5267­5286 The implications of the historical decline in US energy intensity 2007 Abstract This paper analyzes the influence of the long-run decline in US energy intensity change) and adjustments in the energy demand of individual industries (intensity change), and identifies

68

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

69

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

70

High energy density physics generated by intense heavy ion beams  

Science Journals Connector (OSTI)

Intense ion beams from accelerators are now available to generate high energy density matter and to study astrophysical phenomena in the laboratory under controlled and reproducible conditions. A detailed unde...

D. H. H. Hoffmann; V. E. Fortov; M. Kuster; V. Mintsev

2009-08-01T23:59:59.000Z

71

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.

A. Tawfik

2013-10-02T23:59:59.000Z

72

Thesis Oral Energy-efficient Data-intensive  

E-Print Network (OSTI)

Thesis Oral Energy-efficient Data-intensive Computing with a Fast Array of Wimpy Nodes Vijay has raised datacenter energy demand and created an increasingly large financial burden and scaling challenge: Peak energy requirements today are a significant cost of provisioning

73

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

E-Print Network (OSTI)

Production Energy Use and Energy Intensity in China and theGJ/t crude steel Primary Energy Intensity* kgce/t GJ/t crudeChina U.S. Final Energy Intensity No. 5b Scenarios Country

Price, Lynn

2014-01-01T23:59:59.000Z

74

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

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

This file contains the energy use intensities (EUIs) for the benchmark building files by building type and climate zone.

75

Energy Intensity of Federal Buildings Slashed 25% in Past Decade  

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

The U.S. General Services Administration (GSA), which builds and manages federal buildings, recently announced that it cut federal energy spending by $65.5 million in fiscal year (FY) 2012 by reducing the energy use intensity levels in its buildings by nearly 25% since FY 2003.

76

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

E-Print Network (OSTI)

projections of energy and intensity for the 12 th FYP werelevel projections of energy and intensity for the 12 th FYPth APPENDIX Table A-2 Energy Intensity Target Allocation

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

77

SCENARIOS WITH AN INTENSIVE CONTRIBUTION OF NUCLEAR ENERGY TO THE WORLD ENERGY SUPPLY  

E-Print Network (OSTI)

1 SCENARIOS WITH AN INTENSIVE CONTRIBUTION OF NUCLEAR ENERGY TO THE WORLD ENERGY SUPPLY H of primary energy demand by 250% in 2050 we find that a nuclear intensive scenario assuming the development level. Electricity production amounts to almost 40% of the primary energy supplyi , mostly i Here

Paris-Sud XI, Université de

78

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

79

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

80

The decline of the worlds energy intensity  

Science Journals Connector (OSTI)

Energy intensity of the total primary energy supply (TPES), total final energy consumption (TFC) and LOSSES in the conversion from TPES to TFC were analyzed for the World, OECD and Rest of the World (ROW) countries. LOSSES increased significantly for all groups of countries due to the increase of electricity production from coal in the period studied (19712008). Electricity share final consumption almost doubled, increasing from 8.8% to 17.2% in the period studied. However the energy intensity of LOSSES remained practically constant, which reflects the fact that the efficiency of electricity generation from coal (the main source of electricity) remained practically constant in that period. Despite the attractiveness of end-use devices running on electricity such as computers, which is typical of modern societies, the CO2 emissions are bound to increase unless coal is replaced by less carbon emitting sources such as natural gas, renewables and nuclear energy.

Jos Goldemberg; Luiz Tado Siqueira Prado

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.


81

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

E-Print Network (OSTI)

23 5. Comparison of Energy Intensity of Iron and Steelthe U.S. . 27 5.1. Energy Intensity of Iron and27 5.2. Energy Intensity of Iron and Steel Production in

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

82

The energy required to produce materials: constraints on energy-intensity improvements, parameters of demand  

Science Journals Connector (OSTI)

...processes. Data for iron energy intensity are adapted...are adapted from Choate Green-[16]. Production...15 Smil, V . 2008 Energy in nature and society...Choate, WT , and JAS Green. 2003 US energy requirements for aluminum...

2013-01-01T23:59:59.000Z

83

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

E-Print Network (OSTI)

world-best-practice-energy- intensity-values-selected-World Best Practice Energy Intensity Values for Selectedof the Targets for Energy Intensity and Sulfur Dioxide in

Zhou, Nan

2013-01-01T23:59:59.000Z

84

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.

85

Optimization of Power-Intensive Energy Systems with Carbon Capture  

Science Journals Connector (OSTI)

Optimization of Power-Intensive Energy Systems with Carbon Capture ... Three concepts for capturing CO2 from natural gas-fired combined gas/steam turbine power plants are evaluated and compared in this paper: (A) sepn. of CO2 from exhaust gas coming from a std. ...

Xuesong Zheng; Jin-Kuk Kim

2011-09-07T23:59:59.000Z

86

grossWCI.dvi  

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

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

87

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

88

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.

Not Available

1994-09-01T23:59:59.000Z

89

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)

90

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

91

Total Natural Gas Gross Withdrawals (Summary)  

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

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

92

A2E: Adaptively Aggressive Energy Efficient DVFS Scheduling for Data Intensive Applications  

E-Print Network (OSTI)

A2E: Adaptively Aggressive Energy Efficient DVFS Scheduling for Data Intensive Applications Li Tan strategy to achieve energy efficiency for data intensive applications, and further save energy via five memory and disk access intensive benchmarks with imbalanced branches against another two energy

93

Fact #554: January 19, 2009 Energy Intensity of Light Rail Transit...  

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

4: January 19, 2009 Energy Intensity of Light Rail Transit Systems Fact 554: January 19, 2009 Energy Intensity of Light Rail Transit Systems According to the 2007 National Transit...

94

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

E-Print Network (OSTI)

of the decrease in energy intensity during the study period,trends in U. S. energy intensity: An index number analysis,industry structure and energy intensity, Energy Economics

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

2002-01-01T23:59:59.000Z

95

A STAGED MUON-BASED FACILITY TO ENABLE INTENSITY AND ENERGY FRONTIER SCIENCE IN THE US*  

E-Print Network (OSTI)

A STAGED MUON-BASED FACILITY TO ENABLE INTENSITY AND ENERGY FRONTIER SCIENCE IN THE US* Jean. It requires facilities at both high energy and high intensity frontiers. Neutrino oscillations are irrefutable precision flavour physics at the high intensity frontier. At the high energy frontier, a multi-TeV lepton

McDonald, Kirk

96

Multi-energy CT Based on a Prior Rank, Intensity and Sparsity Model (PRISM)  

E-Print Network (OSTI)

Multi-energy CT Based on a Prior Rank, Intensity and Sparsity Model (PRISM) Hao Gao1 , Hengyong Yu2 spectrum. Besides, the energy-dependent intensity information can be incorporated into the PRISM in terms on the generalized rank and sparsity of a multi-energy image, and intensity/spectral characteristics of base

Soatto, Stefano

97

Energy Integration Describes Sound-Intensity Coding in an Insect Auditory System  

E-Print Network (OSTI)

Energy Integration Describes Sound-Intensity Coding in an Insect Auditory System Tim Gollisch receptor; hearing; sound intensity; energy; model; locust Auditory receptor cells are commonly measurements of intensity-duration tradeoffs sug- gest that the stimulus energy is the crucial variable (Garner

Benda, Jan

98

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 of laser intensity on the production of fragment energy distribu- tions. Laser induced fluorescence (LIF pumping is pro- portional to the light intensity, the final energy of the parent molecule

Zare, Richard N.

99

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

100

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

E-Print Network (OSTI)

energy intensity (energy per unit GDP) in the 11 th FYP. Forintensity (total energy per unit GDP)  industrial energyof total (primary) energy per unit GDP in fixed 2005 RMB [

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.


101

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

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

102

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

103

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

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

104

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

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

105

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

106

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

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

107

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

108

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

109

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

110

The energy required to produce materials: constraints on energy-intensity improvements, parameters of demand  

Science Journals Connector (OSTI)

...data for embodied energy comes from Ashby-[10], for material prices for metals from the...10]. Plastic prices are for year 2011...2009. Figure 7. Energy intensity e versus...Natl Acad. Sci. USA 107, 20 905-20...an environmental history of the twentieth-century...

2013-01-01T23:59:59.000Z

111

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

E-Print Network (OSTI)

in a lower energy-and-carbon-intensive mix of economicintensity into fuel mix and energy intensity terms. Thisof fuel mix and weather on energy and carbon intensity using

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

2002-01-01T23:59:59.000Z

112

Energy intensity and the energy mix: What works for the environment?  

Science Journals Connector (OSTI)

Abstract In the absence of carbon sequestration, mitigating carbon emissions can be achieved through a mix of two broad policy approaches: (i) reducing energy intensity by improving energy efficiency and conservation, and (ii) changing the fuel mix. This paper investigates the long-run relationship between energy intensity, the energy mix, and per capita carbon emissions; while controlling for the level of economic activity, the economic structure measured by the relative size of the manufacturing sector, and the differences in institutional qualities across countries. We aim to answer two particularly important policy questions. First, to what extent these policy approaches are effective in mitigating emissions in the long-run? Second, which institutional qualities significantly contribute to better long-run environmental performance? We use historical data for 131 countries in a heterogeneous panel framework for the period 19722010. We find that less dependence on fossil fuel and lower energy intensity reduce emissions in the long run. A goal of 10% reduction in CO2 levels in the long-run requires reducing the share of fossil fuel in total energy use by 11%, or reducing energy intensity by 13%. In addition, specific institutional qualities such as better corruption control and judiciary independence contribute to mitigating levels of emissions.

Amany A. El Anshasy; Marina-Selini Katsaiti

2014-01-01T23:59:59.000Z

113

Present and future perspectives for high energy density physics with intense heavy ion and laser beams  

E-Print Network (OSTI)

Present and future perspectives for high energy density physics with intense heavy ion and laser18, deliver an intense uranium beam that deposit about 1 kJ0g specific energy in solid matter. Using 2004! Abstract Intense heavy ion beams from the Gesellschaft für Schwerionenforschung ~GSI, Darmstadt

114

Physics of neutralization of intense high-energy ion beam pulses by electronsa...  

E-Print Network (OSTI)

Physics of neutralization of intense high-energy ion beam pulses by electronsa... I. D. Kaganovich beams,13 the physics of solar flares,14 high-intensity high- energy particle beam propagation Neutralization and focusing of intense charged particle beam pulses by electrons form the basis for a wide range

Kaganovich, Igor

115

ISSUANCE 2015-01-26: Energy Conservation Program: Energy Conservation Standards for High-Intensity Lamps, Notice to Reopen Comment Period  

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

Energy Conservation Program: Energy Conservation Standards for High-Intensity Lamps, Notice to Reopen Comment Period

116

An Analysis of Residential Energy Intensity in Iran, A System Dynamics Approach  

E-Print Network (OSTI)

Abstract: substantial development of counties needs to use the resources in an efficient way. One indicator that shows the degree of efficient use of energy resources is energy intensity. Statistics show that Irans energy intensity was in a bad situation during past years and if this manner of using energy resources continues, it will get worse.In this study a system dynamics approach is used to model changes of energy intensity in residential sector in Iran. By implementation and simulation of this model we found some reasons of this problem in Iran. Then we tried to introduce some policies to make steady improvement in energy intensity in the future. Keywords:

Mohamed M. Jamshidi

117

ITP Energy Intensive Processes: Energy-Intensive Processes Portfolio: Addressing Key Energy Challenges Across U.S. Industry  

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

Portfolio of projects focused on investments in high-impact, crosscutting opportunities that provide significant energy savings and carbon reductions across a broad industrial base

118

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

119

Could energy-intensive industries be powered by carbon-free electricity?  

Science Journals Connector (OSTI)

...Gutowski and Ernst Worrell Could energy-intensive industries be powered...MacKay, DJC . 2008 Sustainable energy-without the hot air. Cambridge...com . 3 Gallman, PG . 2011 Green alternatives and national energy strategy: the facts behind the...

2013-01-01T23:59:59.000Z

120

Building Performance Database | Department of Energy  

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

in the peer group that fall within consistent intervals of energy use intensity (EUI) i.e. the annual energy use per gross square foot of the building. Scatter Plot. 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.


121

Going beyond energy intensity to understand the energy metabolism of nations: The case of Argentina  

Science Journals Connector (OSTI)

The link between energy consumption and economic growth has been widely studied in the economic literature. Understanding this relationship is important from both an environmental and a socio-economic point of view, as energy consumption is crucial to economic activity and human environmental impact. This relevance is even higher for developing countries, since energy consumption per unit of output varies through the phases of development, increasing from an agricultural stage to an industrial one and then decreasing for certain service based economies. In the Argentinean case, the relevance of energy consumption to economic development seems to be particularly important. While energy intensity seems to exhibit a U-Shaped curve from 1990 to 2003 decreasing slightly after that year, total energy consumption increases along the period of analysis. Why does this happen? How can we relate this result with the sustainability debate? All these questions are very important due to Argentinean hydrocarbons dependence and due to the recent reduction in oil and natural gas reserves, which can lead to a lack of security of supply. In this paper we study Argentinean energy consumption pattern for the period 19902007, to discuss current and future energy and economic sustainability. To this purpose, we developed a conventional analysis, studying energy intensity, and a non conventional analysis, using the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) accounting methodology. Both methodologies show that the development process followed by Argentina has not been good enough to assure sustainability in the long term. Instead of improving energy use, energy intensity has increased. The current composition of its energy mix, and the recent economic crisis in Argentina, as well as its development path, are some of the possible explanations.

Marina Recalde; Jess Ramos-Martin

2012-01-01T23:59:59.000Z

122

CHEM 740: ENERGIES, INTENSITIES AND POTENTIALS: CONCEPTS AND TOOLS IN SPECTROSCOPY  

E-Print Network (OSTI)

1 CHEM 740: ENERGIES, INTENSITIES AND POTENTIALS: CONCEPTS AND TOOLS IN SPECTROSCOPY Fall 2001 Instructor: R.J. Le Roy Wednesday Evenings The patterns of energy levels and transition intensities observed energy curves or surfaces characterizing the forces between the component atoms. This course will discuss

Le Roy, Robert J.

123

Optimization Intensive Energy Harvesting Mahsan Rofouei, Mohammad Ali Ghodrat, Miodrag Potkonjak  

E-Print Network (OSTI)

Optimization Intensive Energy Harvesting Mahsan Rofouei, Mohammad Ali Ghodrat, Miodrag Potkonjak of primary limiting factors of MSs is their energy sensitivity. In order to overcome this limitation, we have developed an optimization intensive approach for energy harvesting. Our goal is to size and position

Potkonjak, Miodrag

124

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.

125

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

126

Reducing Industrial Energy Intensity in the Southeast Project Fact Sheet  

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

This fact sheet contains details regarding a Save Energy Now industrial energy efficiency project that the U.S. Department of Energy funded in Mississippi.

127

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

report describes best practices in energy efficiency for keyImproving Energy Efficiency of shape casting. Best practice

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

2007-01-01T23:59:59.000Z

128

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

129

Improved Product Energy Intensity Benchmarking Metrics for Thermally Concentrated Food Products  

Science Journals Connector (OSTI)

Improved Product Energy Intensity Benchmarking Metrics for Thermally Concentrated Food Products ... Sogut, Z.; Ilten, N.; Oktay, Z.Energetic and exergetic performance evaluation of the quadruple-effect evaporator unit in tomato paste evaporation Energy 2010, 35, 3821 3826 ...

Michael E. Walker; Craig S. Arnold; David J. Lettieri; Margot J. Hutchins; Eric Masanet

2014-09-12T23:59:59.000Z

130

Optically Interconnected Data Center Architecture for Bandwidth Intensive Energy Efficient Networking  

E-Print Network (OSTI)

Optically Interconnected Data Center Architecture for Bandwidth Intensive Energy Efficient) 854 2900, e-mail: howard@ee.columbia.edu ABSTRACT The relentless rise of data-intensive cloud will either be prohibitively costly, overly complex, or result in unsustainable energy requirements. Network

Bergman, Keren

131

Mapping the Energy Distribution of SERRS Hot Spots from Anti-Stokes to Stokes Intensity Ratios  

E-Print Network (OSTI)

Mapping the Energy Distribution of SERRS Hot Spots from Anti- Stokes to Stokes Intensity Ratios in the anti-Stokes to Stokes intensity ratios in single-molecule surface-enhanced resonance Raman scattering-enhanced Raman scattering. Moreover, a methodology to estimate the distribution of resonance energies

Brolo, Alexandre G.

132

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

and 30% of total energy consumption in China. During the30 kWh/ADt 54 for total energy consumption of 11.2 GJ/ADt (leads to a total overall energy consumption value of 11.1

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

2007-01-01T23:59:59.000Z

133

PNNL Data-Intensive Computing for a Smarter Energy Grid  

SciTech Connect

The Middleware for Data-Intensive Computing (MeDICi) Integration Framework, an integrated platform to solve data analysis and processing needs, supports PNNL research on the U.S. electric power grid. MeDICi is enabling development of visualizations of grid operations and vulnerabilities, with goal of near real-time analysis to aid operators in preventing and mitigating grid failures.

Carol Imhoff; Zhenyu (Henry) Huang [Henry; Daniel Chavarria

2009-11-01T23:59:59.000Z

134

PNNL Data-Intensive Computing for a Smarter Energy Grid  

ScienceCinema (OSTI)

The Middleware for Data-Intensive Computing (MeDICi) Integration Framework, an integrated platform to solve data analysis and processing needs, supports PNNL research on the U.S. electric power grid. MeDICi is enabling development of visualizations of grid operations and vulnerabilities, with goal of near real-time analysis to aid operators in preventing and mitigating grid failures.

Carol Imhoff; Zhenyu (Henry) Huang; Daniel Chavarria

2012-12-31T23:59:59.000Z

135

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

E-Print Network (OSTI)

to be world average energy intensities for the production ofWorld Steel Association (worldsteel) since imported products can be from different countries and will thus vary in their energy consumption during production

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

136

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

E-Print Network (OSTI)

0 Energy Production, Frictional Dissipation, and Maximum Intensity of a Numerically Simulated) viewed as a heat engine converts heat energy extracted from the ocean to kinetic energy of the TC, which is eventually dissipated due to surface friction. Since the energy production rate is a linear function while

Wang, Yuqing

137

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

E-Print Network (OSTI)

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

Wang, Yuqing

138

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

139

Policies for eliminating low-efficiency production capacities and improving energy efficiency of energy-intensive industries in China  

Science Journals Connector (OSTI)

Abstract China faced the greatest challenge in balancing its economic growth, energy and resource security as well as environmental pollution. The energy-intensive industries, which used to be the major force driving China?s economic growth, had seriously exhausted the countries? natural resources and energy, and at the same time polluted the environment because of the severe surplus of low-efficiency production capacities. As a result, the Chinese government had initiated multiple economic and administrative policies to eliminate these low-efficiency production capacities intended to improve the energy efficiency of energy-intensive industries. These policies are summarized in this paper, along with export tax rebating rate, resource tax, administrative audit and approvals, differential electric power pricing and shutting down the low-efficiency production capacities. The paper also evaluates the effects of these policies by analyzing several key indicators about the energy-intensive industries, including fixed asset investment growth rate, energy-intensity of industrial added-value, waste gas emission-intensity of industrial added-value. The VALDEX methodology is selected to examine the improving trends of energy-efficiency for energy-intensive industries. The analyzing results show that firstly the development of low-efficiency capacities tends to be more sensitive to the policies, so the policies that China had enacted really exert very important effects on improving the energy-efficiency of energy-intensive industries. However, the effects of economic policies seem more faster and obvious than the fiscal policies. Besides, the results also show that polices which are designed to reserve energy may not necessarily exert the same effects on reducing emissions. There is still large room for improving the energy efficiency of energy-intensive industries, substantial improvement still needs to be done for current policies system. Some suggestions for future work are provided.

Li Li; Jianjun Wang; Zhongfu Tan; Xinquan Ge; Jian Zhang; Xiaozhe Yun

2014-01-01T23:59:59.000Z

140

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

Heat of reaction Steam, heating and losses Fractionation and compression Separation Total Note: Primary energy includes electricity generation, transmission, and distribution losses

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

2007-01-01T23:59:59.000Z

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.


141

ITP Energy Intensive Processes: Improved Heat Recovery in Biomass...  

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

INDUSTRIAL TECHNOLOGIES PROGRAM Improved Heat Recovery in Biomass-Fired Boilers Reducing Superheater Corrosion to Enable Maximum Energy Effi ciency This project will develop...

142

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

143

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

144

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

145

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

146

Carbon dioxide emissions intensity of Portuguese industry and energy sectors: A convergence analysis and econometric approach  

Science Journals Connector (OSTI)

Abstract Given the relevance of energy and pollution issues for industrialised countries and the importance of industry and energy sectors to the achievement of their economic and environmental goals, it is important to know if there is a common pattern of emissions intensity, fuel intensity and energy intensity, between industries, to know if it justifies a more specific application of energy policies between sectors, which sectors have the greatest potential for reducing energy use and which are the long term effects of those specific variables on the mitigation of emissions. We found that although there is literature on decomposition of effects that affect emissions, the study of the convergence and of the relationships between these variables does not include ratios or effects that result from the decomposition analysis. Thus, the above questions are not answered, much less for the Portuguese reality. The purpose of this paper is to study: (i) the existence of convergence of some relevant ratios as Carbon Dioxide (CO2) emissions intensity, CO2 emissions by fossil fuel consumption, fossil fuel intensity, energy intensity and economic structure, between industry and energy sectors in Portugal, and (ii) the influence that the consumption of fossil fuels, the consumption of aggregate energy and GDP have on CO2 emissions, and the influence that the ratios in which CO2 emissions intensity decomposes can affect that variable, using an econometric approach, namely Panel corrected standard errors estimator. We concluded that there is sigma convergence for all ratios with exception of fossil fuel intensity. Gamma convergence verifies for all ratios, with exception of CO2 emissions by fossil fuel. From the econometric approach we concluded that the considered variables have a significant importance in explaining CO2 emissions and CO2 emissions intensity.

Victor Moutinho; Margarita Robaina-Alves; Jorge Mota

2014-01-01T23:59:59.000Z

147

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.

148

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.)...

149

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.

150

The role of energy intensity improvement in the AR4 GHG stabilization scenarios  

Science Journals Connector (OSTI)

This study analyzes the role of energy intensity improvement in the short term (to the year 2020) and midterm (to the year 2050) in the context of long-term greenhouse gases (GHG) stabilization scenarios. The dat...

Tatsuya Hanaoka; Mikiko Kainuma; Yuzuru Matsuoka

2009-05-01T23:59:59.000Z

151

Cost Minimization in an Energy-Intensive Plant Using Mathematical Programming Approaches  

Science Journals Connector (OSTI)

Cost Minimization in an Energy-Intensive Plant Using Mathematical Programming Approaches ... This creates a potential opportunity to reduce average operating costs by changing the operating mode and production rates depending on the power costs. ...

M. G. Ierapetritou; D. Wu; J. Vin; P. Sweeney; M. Chigirinskiy

2002-09-24T23:59:59.000Z

152

Energy Policy 30 (2002) 151163 Aggregating physical intensity indicators: results of applying the  

E-Print Network (OSTI)

indicators measure the energy used per dollar of GDP produced by some sector, sub-sector, industry or productEnergy Policy 30 (2002) 151­163 Aggregating physical intensity indicators: results of applying School of Resource and Environmental Management, Energy Research Group, Simon Fraser University, Burnaby

153

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

SciTech Connect

The industrial sector is the most important end-use sector in developing countries in terms of energy use and was responsible for 50% of primary energy use and 53% of associated carbon dioxide emissions in 1995 (Price et al., 1999). The industrial sector is extremely diverse, encompassing the extraction of natural resources, conversion of these resources into raw materials, and manufacture of finished products. Five energy-intensive industrial subsectors account for the bulk of industrial energy use and related carbon dioxide emissions: iron and steel, chemicals, petroleum refining, pulp and paper, and cement. In this paper, we focus on the steel and cement sectors in Brazil, China, India, and Mexico.1 We review historical trends, noting that China became the world's largest producer of cement in 1985 and of steel in 1996. We discuss trends that influence energy consumption, such as the amount of additives in cement (illustrated through the clinker/cement ratio), the share of electric arc furnaces, and the level of adoption of continuous casting. To gauge the potential for improvement in production of steel and cement in these countries, we calculate a ''best practice'' intensity based on use of international best practice technology to produce the mix of products manufactured in each country in 1995. We show that Brazil has the lowest potential for improvement in both sectors. In contrast, there is significant potential for improvement in Mexico, India, and especially China, where adoption of best practice technologies could reduce energy use and carbon dioxide emissions from steel production by 50% and cement production by 37%. We conclude by comparing the identified potential for energy efficiency improvement and carbon dioxide emissions reduction in these key developing countries to that of the U.S. This comparison raises interesting questions related to efforts to improve energy efficiency in developing countries, such as: what is the appropriate role of industrialized countries in promoting the adoption of low carbon technologies, how do international steel and cement companies influence the situation, and how can such information be used in the context of Clean Development Mechanism in the Kyoto Protocol?

Price, Lynn; Worrell, Ernst; Phylipsen, Dian

1999-09-01T23:59:59.000Z

154

Refining intensity, energy consumption, and pulp quality in two-stage chip refining  

SciTech Connect

This paper reports on thermomechanical pulps produced in two pilot plant installations. Both installations were conventional two-stage systems in which the first stage was pressurized and the second was atmospheric. At a given specific energy, pulp quality was improved. Alternatively, for a given pulp quality, the energy consumption was reduced when refining in the first stage was carried out at a high refining intensity. High refining intensity was reached by operating the first stage either at a high rotational speed or low consistency. There were indications that these benefits could be enhanced if the second stage were operated at a low refining intensity.

Miles, K.B.; May, W.D.; Karnis, A. (Pulp and Paper Research Inst. of Canada, 570 St. John's Boulevard, Pointe Claire, Quebec H9R 3J9 (CA))

1991-03-01T23:59:59.000Z

155

Could energy intensive industries be powered by carbonfree electricity?  

E-Print Network (OSTI)

chemical services -- for example, coal, converted to coke, acts as a reducing agent in blast furnaces.) (a comes from coal, oil, and natural gas. What infrastructure would be required to deliver the same amount to Royal Society T E X Paper #12; 2 David J C MacKay FRS Primary energy consumption: 2740TWh/y Coal: 475TWh

MacKay, David J.C.

156

Solar?energy conversion at high solar intensities  

Science Journals Connector (OSTI)

The concentration of sunlight offers distinct advantages for solarelectrical generation either by thermal conversion or by photovoltaics. A large variety of concentration techniques are available with concentration ratios of 11000. Concentration is required for thermal conversion systems to attain the high temperatures needed for efficiencies in the desired range of about 25%35%. The projected costs for some of the solar thermal systems (especially the central receiver and the fixed mirror) indicate that they could be economically competitive in the southwestern states. The southwest may be required for these high?concentration systems to overcome the main disadvantage of concentration which is the use of the direct component of sunlight only. Other concerns of high?intensity systems are in tracking requirements reflective surface accuracy and material lifetimes of both the reflecting and absorbing components. Selective surface absorbers will be required for systems with concentration ratios below a few hundred. The present high cost of solar?cell?generated electricity can be reduced considerably by using concentrators. Cells can be used with any of the concentrator designs and the major concern is keeping them at acceptable operating temperatures. Planar silicon cells vertical multijunction and galliumaluminumarsenide cells all look attractive for concentrating systems.

Charles E. Backus

1975-01-01T23:59:59.000Z

157

Energy Intensity Development of the German Iron and Steel Industry between 1991 and 2007 Marlene Arensa), 1)  

E-Print Network (OSTI)

1 Energy Intensity Development of the German Iron and Steel Industry between 1991 and 2007 Marlene industry, energy intensity 1) Corresponding Author. Tel: +49 721 6809 408, fax: +49 721 6809 272, marlene a decomposition method [25]. Kim and Worrell (2002) compared energy and CO2intensity in the steel sector among

Paris-Sud XI, Université de

158

Energy Intense Equipment Purchasing Behaviour: A Review of the Literature i How do consumers and firms purchase equipment  

E-Print Network (OSTI)

Energy Intense Equipment Purchasing Behaviour: A Review of the Literature i CIEEDAC How do, 2007 #12;Energy Intense Equipment Purchasing Behaviour: A Review of the Literature ii Executive Summary Energy intense equipment purchasing behaviour: A review of the literature. CIEEDAC has been charged

159

Gross decontamination experiment report  

SciTech Connect

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

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

1983-07-01T23:59:59.000Z

160

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.

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

Experimental Observation of Electrons Accelerated in Vacuum to Relativistic Energies by a High-Intensity Laser  

Science Journals Connector (OSTI)

Free electrons have been accelerated in vacuum to MeV energies by a high-intensity subpicosecond laser pulse ( 1019 W/cm2, 300 fs). The experimental data are in good agreement with the relativistic motion of electrons in a spatially and temporally finite electromagnetic field, both in terms of maximum energy and scattering angle.

G. Malka; E. Lefebvre; J. L. Miquel

1997-04-28T23:59:59.000Z

162

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.

163

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,

164

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,

165

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

166

Energy intensities, \\{EROIs\\} (energy returned on invested), and energy payback times of electricity generating power plants  

Science Journals Connector (OSTI)

The energy returned on invested, EROI, has been evaluated for typical power plants representing wind energy, photovoltaics, solar thermal, hydro, natural gas, biogas, coal and nuclear power. The strict exergy concept with no primary energy weighting, updated material databases, and updated technical procedures make it possible to directly compare the overall efficiency of those power plants on a uniform mathematical and physical basis. Pump storage systems, needed for solar and wind energy, have been included in the EROI so that the efficiency can be compared with an unbuffered scenario. The results show that nuclear, hydro, coal, and natural gas power systems (in this order) are one order of magnitude more effective than photovoltaics and wind power.

D. Weibach; G. Ruprecht; A. Huke; K. Czerski; S. Gottlieb; A. Hussein

2013-01-01T23:59:59.000Z

167

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

168

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.

169

A High Intensity Linear e+ e- Collider Facility at Low Energy  

E-Print Network (OSTI)

I discuss a proposal for a high intensity $e^+e^-$ linear collider operated at low center of mass energies $\\sqrt{s}intensity beams. Such a facility would provide high statistics samples of (charmed) vector mesons and would permit searches for LFV with unprecedented precision in decays of $\\tau$ leptons and mesons. Implications on the design of the linear accelerator are discussed together with requirements to achieve luminosities of $10^{35}$ cm$^{-2}$s$^{-1}$ or more.

A. Schoning

2006-10-23T23:59:59.000Z

170

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

SciTech Connect

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

171

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

DOE Patents (OSTI)

An arrangement is provided for the in-situ determination of energy species yields of intense particle beams. The beam is directed onto a target surface of known composition, such that Rutherford backscattering of the beam occurs. The yield-energy characteristic response of the beam to backscattering from the target is analyzed using Rutherford backscattering techniques to determine the yields of energy species components of the beam.

Kugel, Henry W. (Somerset, NJ); Kaita, Robert (Englishtown, NJ)

1987-01-01T23:59:59.000Z

172

Energy intensities and CO2 emissions in Catalonia: a SAM analysis  

Science Journals Connector (OSTI)

In this paper, we estimate sectoral energy intensities and CO2 emissions for the Catalonian economy. In order to evaluate energy intensities, we use the SAM (Social Accounting Matrix) multiplier analysis applied to a SAM of the economy. CO2 emissions are estimated by means of the Leontief input-output submodel of the SAM, together with a table of coefficients of emissions per unit of monetary expenditures. This new methodology allows us to dispense with energy input-output tables for the base period. Our results are of the same order of magnitude as others obtained by physical measurement methods. We also simulate how changes in demand and energy energy efficiency parameters may affect CO2 emissions for the economy.

Antonio Manresa; Ferran Sancho

2004-01-01T23:59:59.000Z

173

The relationship between maximum tolerated light intensity and photoprotective energy dissipation in the photosynthetic antenna: chloroplast gains and losses  

Science Journals Connector (OSTI)

...tolerated light intensity and photoprotective energy dissipation in the photosynthetic antenna...photoinhibition by non-photochemical energy dissipation (NPQ) has been recently...membrane. protective non-photochemical energy dissipation|thylakoid membrane|photosystem...

2014-01-01T23:59:59.000Z

174

Emotion Regulation JAMES J. GROSS  

E-Print Network (OSTI)

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

Gross, James J.

175

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

176

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.

177

A multivariate analysis of the energy intensity of sprawl versus compact living in the U.S. for 2003  

E-Print Network (OSTI)

Household energy consumption Sprawl Compact living Energy impact We explore the energy intensity of sprawl versus compact living by analyzing the total energy requirements of U.S. households for the year 2003. The methods used are based on previous studies on energy cost of living. Total energy requirement

Vermont, University of

178

Laser-Energy Transfer and Enhancement of Plasma Waves and Electron Beams by Interfering High-Intensity Laser Pulses  

E-Print Network (OSTI)

Laser-Energy Transfer and Enhancement of Plasma Waves and Electron Beams by Interfering High-Intensity) The effects of interference due to crossed laser beams were studied experimentally in the high- intensity regime. Two ultrashort (400 fs), high-intensity (4 1017 and 1:6 1018 W=cm2) and 1 m wavelength laser

Umstadter, Donald

179

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

E-Print Network (OSTI)

Energy-Efficiency Technologies and Benchmarking the EnergyEnvironmental Energy Technologies Division Lawrence BerkeleyIsfahan University of Technology Mohamad Abdolrazaghi,

Hasanbeigi, Ali

2014-01-01T23:59:59.000Z

180

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

E-Print Network (OSTI)

costs, fixed costs and ethylene price Purchased energy costsfeedstock and energy prices, ethylene yield (per unit ofof ethylene produced) and the generally higher energy prices

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

2000-01-01T23:59:59.000Z

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.


181

A Comprehensive System of Energy Intensity Indicators for the U.S.: Methods, Data and Key Trends  

SciTech Connect

This report describes a comprehensive system of energy intensity indicators for the United States that has been developed for the Department of Energys Office of Energy Efficiency and Renewable Energy (EERE) over the past decade. This system of indicators is hierarchical in nature, beginning with detailed indexes of energy intensity for various sectors of the economy, which are ultimately aggregated to an overall energy intensity index for the economy as a whole. The aggregation of energy intensity indexes to higher levels in the hierarchy is performed with a version of the Log Mean Divisia Index (LMDI) method. Based upon the data and methods in the system of indicators, the economy-wide energy intensity index shows a decline of about 14% in 2010 relative to a 1985 base year. Discussion of energy intensity indicators for each of the broad end-use sectors of the economyresidential, commercial, industrial, and transportationis presented in the report. An analysis of recent changes in the efficiency of electricity generation in the U.S. is also included. A detailed appendix describes the data sources and methodology behind the energy intensity indicators for each sector.

Belzer, David B.

2014-08-31T23:59:59.000Z

182

Analyzing intramolecular vibrational energy redistribution via the overlap intensity-level velocity correlator  

E-Print Network (OSTI)

Numerous experimental and theoretical studies have established that intramolecular vibrational energy redistribution (IVR) in isolated molecules has a heirarchical tier structure. The tier structure implies strong correlations between the energy level motions of a quantum system and its intensity-weighted spectrum. A measure, which explicitly accounts for this correaltion, was first introduced by one of us as a sensitive probe of phase space localization. It correlates eigenlevel velocities with the overlap intensities between the eigenstates and some localized state of interest. A semiclassical theory for the correlation is developed for systems that are classically integrable and complements earlier work focusing exclusively on the chaotic case. Application to a model two dimensional effective spectroscopic Hamiltonian shows that the correlation measure can provide information about the terms in the molecular Hamiltonian which play an important role in an energy range of interest and the character of the dynamics. Moreover, the correlation function is capable of highlighting relevant phase space structures including the local resonance features associated with a specific bright state. In addition to being ideally suited for multidimensional systems with a large density of states, the measure can also be used to gain insights into the phase space transport and localization. It is argued that the overlap intensity-level velocity correlation function provides a novel way of studying vibrational energy redistribution in isolated molecules. The correlation function is ideally suited to analyzing the parametric spectra of molecules in external fields.

Srihari Keshavamurthy; Nicholas R. Cerruti; Steven Tomsovic

2002-02-02T23:59:59.000Z

183

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...

Hasanbeigi, A.; Hasanabadi, A.; Abdorrazaghi, M.

2011-01-01T23:59:59.000Z

184

Exploring the Effect of Inter-Stop Transport Distances on Traction Energy Cost Intensities of Freight Trains  

Science Journals Connector (OSTI)

With a computer-aided simulation approach, this research analyzes the change of the traction energy cost intensity of a typically formed Chinese freight ... than 20.00km to decrease the traction energy cost per ...

Xuesong Feng; Haidong Liu; Keqi Wu

2013-01-01T23:59:59.000Z

185

2011 Intensity -1 INTENSITY OF SOUND  

E-Print Network (OSTI)

the rate at which energy is passing a certain point. This concept involves sound intensity. Consider the sound intensity. Recall the time rate of energy transfer is called "power". Thus, sound intensity2011 Intensity - 1 INTENSITY OF SOUND The objectives of this experiment are: · To understand

Glashausser, Charles

186

Baryon Acoustic Oscillation Intensity Mapping as a Test of Dark Energy  

E-Print Network (OSTI)

The expansion of the universe appears to be accelerating, and the mysterious anti-gravity agent of this acceleration has been called ``dark energy''. To measure the dynamics of dark energy, Baryon Acoustic Oscillations (BAO) can be used. Previous discussions of the BAO dark energy test have focused on direct measurements of redshifts of as many as $10^9$ individual galaxies, by observing the 21cm line or by detecting optical emission. Here we show how the study of acoustic oscillation in the 21 cm brightness can be accomplished by economical three dimensional intensity mapping. If our estimates gain acceptance they may be the starting point for a new class of dark energy experiments dedicated to large angular scale mapping of the radio sky, shedding light on dark energy.

Tzu-Ching Chang; Ue-Li Pen; Jeffrey B. Peterson; Patrick McDonald

2008-01-27T23:59:59.000Z

187

The relationship between energy intensity and income levels: Forecasting long term energy demand in Asian emerging countries  

SciTech Connect

This paper analyzes long-term trends in energy intensity for ten Asian emerging countries to test for a non-monotonic relationship between energy intensity and income in the author's sample. Energy demand functions are estimated during 1973--1990 using a quadratic function of log income. The long-run coefficient on squared income is found to be negative and significant, indicating a change in trend of energy intensity. The estimates are then used to evaluate a medium-term forecast of energy demand in the Asian countries, using both a log-linear and a quadratic model. It is found that in medium to high income countries the quadratic model performs better than the log-linear, with an average error of 9% against 43% in 1995. For the region as a whole, the quadratic model appears more adequate with a forecast error of 16% against 28% in 1995. These results are consistent with a process of dematerialization, which occurs as a result of a reduction of resource use per unit of GDP once an economy passes some threshold level of GDP per capita.

Galli, R. (Birkbeck Coll., London (United Kingdom) Univ. della Svizzera Italiana, Lugano (Switzerland). Facolta di Scienze Economiche)

1998-01-01T23:59:59.000Z

188

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.

189

GAMUT: A computer code for. gamma. -ray energy and intensity analysis  

SciTech Connect

GAMUT is a computer code to analyze {gamma}-ray energies and intensities. It does a linear least-squares fit of measured {gamma}-ray energies from one or more experiments to the level scheme. GAMUT also performs a non-linear least-squares analysis of branching intensities. For both energy and intensity data, a statistical Chi-square analysis is performed with an iterative uncertainty adjustment. The uncertainties of outlying measured values and sets of measurements with x{sup 2}/f>1 are increased, and the calculation is repeated until the uncertainties are consistent with the fitted values. GAMUT accepts input from standard or special-format ENSDF data sets. The special-format ENSDF data sets were designed to permit analysis of more than one set of measurements associated with a single ENSDF data set. GAMUT prepares a standard ENSDF format output data set containing the adjusted values. If more than one input ENSDF data set is provided, GAMUT creates an ADOPTED LEVELS, GAMMAS data set containing the adjusted level and {gamma}-ray energies and branching intensities from each level normalized to 100 for the strongest {gamma}-ray. GAMUT also provides a summary of the results and an extensive log of the iterative analysis. GAMUT is interactive prompting the user for input and output file names and for default calculation options. This version of GAMUT has adjustable dimensions so that any maximum number of data sets, levels, and {gamma}-rays can be established at the time of implementation. 6 refs.

Firestone, R.B.

1991-05-01T23:59:59.000Z

190

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

E-Print Network (OSTI)

Egypt, and Iran. The methodologies described here were developed through collaboration with international energy efficiency

Price, Lynn; Worrell, Ernst; Phylipsen, Dian

1999-01-01T23:59:59.000Z

191

Differential directional intensities of low energy cosmic ray muons near sea level  

E-Print Network (OSTI)

DIFFERENTIAL DIRECTIOiNAL INTEiNSITIES OF LOW ENERGY COSMIC RAY MUONS liR SEA LEVEL A Thesis by DAVID RUDOLPH DURDA Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE May 1970 Physics DIFFERENTIAL DIRECTIONAL INTENSITIES OF LOW ENERGY COSMIC RAY MUONS NEAR SEA LEVEL A Thesis by DAVID RUDOLPH DURDA Approved as to style and content by: C airman o Committee Hea o Department Me er Mem er May 1970...

Durda, David Rudolph

2012-06-07T23:59:59.000Z

192

The causes of the high energy intensity of the Kazakh economy: A characterization of its energy system  

Science Journals Connector (OSTI)

Abstract The primary energy intensity of Kazakhstan is among the highest in the world. The aim of this paper is to explore, in a quantitative way, the reasons for this condition, and to highlight the opportunities for improvement. To do so, we have developed a detailed bottom-up model of the Kazakh energy sector. With this model, we have calculated the potential energy savings on both the demand and supply sides, and for all the economy sectors. This potential is defined as the difference between the current energy consumption in each sector/activity and the energy consumption if best available technologies or energy efficiency standards prevailing in developed countries were adopted in Kazakhstan. We conclude that the main causes of the energy inefficiency in Kazakhstan are: the excessive energy demand of buildings (especially for space heating) in the household and service sector, the inefficiency of the industry sector, particularly in the iron and steel and non-ferrous metals subsectors, the obsolescence of the heating and power generation assets, and the inefficient management of associated gas (flaring and re-injection in oil wells). With current energy efficiency standards prevailing in developed countries, the primary energy consumption in Kazakhstan in 2010 would be reduced by 48.6%, from 75.4 to 38.7Mtoe.

Antonio Gmez; Csar Dopazo; Norberto Fueyo

2014-01-01T23:59:59.000Z

193

Energy-Intensive Processes Portfolio: Addressing Key Energy Challenges Across U.S. Industry  

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

Portfolio of projects focused on investments in high-impact, crosscutting opportunities that provide significant energy savings and carbon reductions across a broad industrial base

194

Coherent backscattering of intense light by cold atoms with degenerate energy levels: Diagrammatic treatment  

E-Print Network (OSTI)

We present a generalization of the diagrammatic pump-probe approach to coherent backscattering (CBS) of intense laser light for atoms with degenerate energy levels. We employ this approach for a characterization of the double scattering signal from optically pumped atoms with the transition $J_g\\rightarrow J_e=J_g+1$ in the helicity preserving polarization channel. We show that, in the saturation regime, the internal degeneracy becomes manifest for atoms with $J_g\\geq 1$, leading to a faster decrease of the CBS enhancement factor with increasing saturation parameter than in the non-degenerate case.

V. N. Shatokhin; R. Blattmann; T. Wellens; A. Buchleitner

2014-07-10T23:59:59.000Z

195

High-energy-density physics experiments with intense heavy ion beams  

Science Journals Connector (OSTI)

In this paper we discuss physical and technical issues of high-energy-density physics (HEDP) experiments with intense heavy ion beams that are being performed at the Gesellschaft fr Schwerionenforschung (GSI), Darmstadt. Special attention is given to a comparison of some recent results on expansion dynamics of evaporating lead that have been obtained in heavy ion beam driven HIHEX (Heavy-Ion Heating and Expansion) experiments at GSI-Darmstadt and in high-explosive driven shock wave loading and release experiments at IPCPChernogolovka.

D. Varentsov; V. Ya. Ternovoi; M. Kulish; D. Fernengel; A. Fertman; A. Hug; J. Menzel; P. Ni; D.N. Nikolaev; N. Shilkin; V. Turtikov; S. Udrea; V.E. Fortov; A.A. Golubev; V.K. Gryaznov; D.H.H. Hoffmann; V. Kim; I.V. Lomonosov; V. Mintsev; B.Yu. Sharkov; A. Shutov; P. Spiller; N.A. Tahir; H. Wahl

2007-01-01T23:59:59.000Z

196

Neutron-scattering study of the magnon energies and intensities in iron  

Science Journals Connector (OSTI)

The magnetic inelastic neutron scattering at low temperatures has been measured from a large single crystal of Fe54(12 at.% Si) up to energy transfers of 100 meV using the constant-Q spectrometer at the Los Alamos pulsed neutron source. The spin-wave energies and intensities were obtained from the data by using a multichannel maximum-entropy technique, and we show that much more detailed information can be obtained from the maximum-entropy analysis. The observed spin-wave dispersion relations obtained in the present experiment are in excellent agreement with earlier data, and we observe a sharp falloff of the (001) magnon intensity at approximately 80 meV, which is in accord with previous experimental measurements and multiband theoretical calculations of the dynamic susceptibility of iron. We also compare the data rate obtained with the constant-Q spectrometer to a triple-axis instrument and find that the spectrometer is competitive for this type of measurement.

M. Yethiraj; R. A. Robinson; D. S. Sivia; J. W. Lynn; H. A. Mook

1991-02-01T23:59:59.000Z

197

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

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

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

198

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

199

Energy input, carbon intensity and cost for ethanol produced from farmed seaweed  

Science Journals Connector (OSTI)

Abstract Macroalgae, commonly known as seaweed, has received significant interest as a potential source of ethanol because of its fast growth, significant sugar content and successful lab-scale conversion to ethanol. Issues such as energy input in seaweed conversion, lifecycle emissions, global production potential and cost have received limited attention. To address this gap, a well-to-tank model of ethanol production from brown seaweed is developed and applied to the case of ethanol production from Saccharina latissima in British Columbia, Canada. Animal feed is proposed as a co-product and co-product credits are estimated. In the case considered, seaweed ethanol is found to have an energy return on invested (EROI) of 1.7 and a carbon intensity (CI) of 10.8gCO2eMJ?1. Ethanol production from conventionally farmed seaweed could cost less than conventional ethanol and be produced on a scale comparable to 1% of global gasoline production. A drying system is required in regions such as British Columbia that require seasonal seaweed storage due to a limited harvest season. The results are significantly influenced by variations in animal feed processing energy, co-product credit value, seaweed composition, the value of seaweed animal feed and the cost of seaweed farming. We find EROI ranges from 0.64 to 26.7, CI from 33 to ?41gCO2eMJ?1 and ethanol production is not financially viable without animal feed production in some scenarios.

Aaron Philippsen; Peter Wild; Andrew Rowe

2014-01-01T23:59:59.000Z

200

Intensity and energy modulated radiotherapy with proton beams: Variables affecting optimal prostate plan  

Science Journals Connector (OSTI)

Inverse planning for intensity- and energy-modulated radiotherapy (IEMRT) with proton beams involves the selection of (i) the relative importance factors to control the relative importance of the target and sensitive structures (ii) an appropriate energy resolution to achieve an acceptable depth modulation (iii) an appropriate beamlet width to modulate the beam laterally and (iv) a sufficient number of beams and their orientations. In this article we investigate the influence of these variables on the optimized dose distribution of a simulated prostate cancer IEMRT treatment. Good dose conformation for this prostate case was achieved using a constellation of I factors for the target rectum bladder and normal tissues of 500 50 15 and 1 respectively. It was found that for an active beam delivery system the energy resolution should be selected on the basis of the incident beams energy spread (? E ) and the appropriate energy resolution varied from 1 MeV at ? E =0.0? to ?5? MeV at ? E =2.0? MeV . For a passive beam delivery system the value of the appropriate depth resolution for inverse planning may not be critical as long as the value chosen is at least equal to one-half the FWHM of the primary beam Bragg peak. Results indicate that the dose grid element dimension should be equal to or no less than 70% of the beamlet width. For this prostate case we found that a maximum of three to four beam ports is required since there was no significant advantage to using a larger number of beams. However for a small number (?4) of beams the selection of beam orientations while having only a minor effect on target coverage strongly influenced the sensitive structure sparing and normal tissue integral dose.

Collins Yeboah; George A. Sandison; Alexei V. Chvetsov

2002-01-01T23:59:59.000Z

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.


201

Energy Policy, Volume 39, Issue 4, April 2011, Pages 2165-2178 Assessment of China's Energy-Saving and Emission-Reduction  

E-Print Network (OSTI)

reduction in energy consumption per unit of gross domestic product (GDP). With a dramatic reversal reversal of the historic relationship between energy use and GDP growth, energy use per unit of GDP of this historic relationship, energy intensity increased 5% per year during 2002-2005. China`s 11th Five Year Plan

202

Impacts of Intensive Management and Landscape Structure on Timber and Energy Wood Production and net CO2 Emissions from Energy Wood Use of Norway Spruce  

Science Journals Connector (OSTI)

The aim of this study was to analyze the effects of intensive management and forest landscape structure (in terms of age class distribution) on timber and energy wood production (m3ha?1), net present value (NPV,...

Johanna Routa; Seppo Kellomki; Heli Peltola

2012-03-01T23:59:59.000Z

203

,"Texas Natural Gas Gross Withdrawals and Production"  

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

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

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","92014","1151989" ,"Release...

205

,"Utah Natural Gas Gross Withdrawals and Production"  

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

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

206

,"Oregon Natural Gas Gross Withdrawals and Production"  

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

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

207

,"California Natural Gas Gross Withdrawals and Production"  

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

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

208

A review of existing commercial energy use intensity and load-shape studies  

SciTech Connect

This paper reviews and compares existing studies of energy use intensities (EUIs) and load shapes (LSs) in the commercial sector, focusing on studies that used California data. Our review of EUI studies found fairly good agreement on electric lighting and cooling EUIs. Other EUIs, notably electric miscellaneous in offices, retail, and food stores; electric refrigeration in restaurants and warehouses; electric cooking in restaurants; and electric water heating and ventilation for all types of premises exhibited the largest variations. The major variations in gas EUIs were found in restaurants (all end uses) and food stores (cooking and water heating). Our review of LS studies, which included existing LSs in use by Southern California Edison (SCE) Company, the California Energy Commission (CEC), and a Lawrence Berkeley Laboratory (LBL) study, uncovered two significant features of existing LS estimates. First, LSs were generally not consistent between studies (e.g., SCE and CEC had different load shapes for the same end use in the same type of premises), but these differences could often be related to differences in assumptions for operating hours. Second, for a given type of premise, LSs were often identical for each month and for peak and standard-days, suggesting that, according to some studies, these end uses were not affected by seasonal or climatic influences. 21 refs., 6 figs., 1 tab.

Akbari, H.; Turiel, I.; Eto, J.; Heinemeier, K.; Lebot, B.; Rainer, L.

1990-08-01T23:59:59.000Z

209

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

210

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

211

Energy performances of intensive and extensive short rotation cropping systems for woody biomass production in the EU  

Science Journals Connector (OSTI)

Abstract One of the strategies to ensure energy security and to mitigate climate change in the European Union (EU) is the establishment and the use of short rotation woody crops (SRWCs) for the production of renewable energy. \\{SRWCs\\} are cultivated in the EU under different management systems. Addressing the energy security problems through \\{SRWCs\\} requires management systems that maximize the net energy yield per unit land area. We assembled and evaluated on-farm data from within the EU, (i) to understand the relationship between the SRWC yields and spatial distribution of precipitation, as well as the relationship between SRWC yield and the planting density, and (ii) to investigate whether extensively managed SRWC systems are more energy efficient than their intensively managed counterparts. We found that SRWC yield ranged from 1.3 to 24tha?1y?1 (mean 9.34.2tha?1y?1) across sites. We looked for, but did not find a relationship between yield and annual precipitation as well as between yield and planting density. The energy inputs of extensively managed SRWC systems ranged from 3 to 8GJha?1y?1 whereas the energy ratio (i.e. energy output to energy input ratio) varied from 9 to 29. Although energy inputs (316GJha?1y?1) were larger in most cases than those of extensively managed SRWC systems, intensively managed SRWC systems in the EU had higher energy ratios, i.e. between 15 and 62. The low energy ratio of extensively managed SRWC systems reflected their lower biomass yield per unit area. Switching from intensively managed SRWC systems to extensively managed ones thus creates an energy gap, and will require more arable land to be brought into production to compensate for the yield loss. Consequently, extensification is not the most appropriate path to the success of the wide scale deployment of SRWC for bioenergy production in the EU.

S. Njakou Djomo; A. Ac; T. Zenone; T. De Groote; S. Bergante; G. Facciotto; H. Sixto; P. Ciria Ciria; J. Weger; R. Ceulemans

2015-01-01T23:59:59.000Z

212

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. ...

213

Collisionless absorption, hot electron generation, and energy scaling in intense laser-target interaction  

E-Print Network (OSTI)

Among the various attempts to understand collisionless absorption of intense ultrashort laser pulses a variety of models has been invented to describe the laser beam target interaction. In terms of basic physics collisionless absorption is understood now as the interplay of the oscillating laser field with the space charge field produced in the plasma. A first approach to this idea is realized in Brunel's model the essence of which consists in the formation of an oscillating charge cloud in the vacuum in front of the target. The investigation of statistical ensembles of orbits shows that the absorption process is localized at the ion-vacuum interface and in the skin layer: Single electrons enter into resonance with the laser field thereby undergoing a phase shift which causes orbit crossing and braking of Brunel's laminar flow. This anharmonic resonance acts like an attractor for the electrons and leads to the formation of a Maxwellian tail in the electron energy spectrum. Most remarkable results of our inves...

Liseykina, T; Murakami, M

2014-01-01T23:59:59.000Z

214

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

E-Print Network (OSTI)

of Iron and Steel Production Energy Use and Energy Intensityof Iron and Steel Production Energy Use and Energy Intensitycomparisons of steel production energy efficiency and CO 2

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

215

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

216

Analysis of two-dimensional high-energy photoelectron momentum distributions in the single ionization of atoms by intense laser pulses  

E-Print Network (OSTI)

, using longer pulses at lower intensities. The energy spectra above 4Up, where Up is the ponderomotive energy, have been found to vary rapidly with small changes in laser intensities 10,11 when laser pulseAnalysis of two-dimensional high-energy photoelectron momentum distributions in the single

Lin, Chii-Dong

217

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

E-Print Network (OSTI)

energy in the total energy mix was determined in theOther energy in the total energy mix was much smaller thanwell as the different mix of energy and economic structure

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

218

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

E-Print Network (OSTI)

2: Final to Primary Energy Conversion Factor in 2006 Finalinternational average energy conversion factors are used forenergy structure. The energy conversion factors for external

Price, Lynn

2014-01-01T23:59:59.000Z

219

Self-focusing, channel formation, and high-energy ion generation in interaction of an intense short laser pulse with a He jet  

E-Print Network (OSTI)

Self-focusing, channel formation, and high-energy ion generation in interaction of an intense short of interaction of a relativistically intense 4-TW, 400-fs laser pulse with a He gas jet. We observe a stable data, we reconstructed the axial profile of laser channel and on-axis laser intensity. The estimated

Umstadter, Donald

220

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

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

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

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

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

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

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

222

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

223

,"Arkansas Natural Gas Gross Withdrawals and Production"  

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

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

224

,"Alabama Natural Gas Gross Withdrawals and Production"  

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

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

225

,"Arkansas Natural Gas Gross Withdrawals and Production"  

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

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

226

,"Arizona Natural Gas Gross Withdrawals and Production"  

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

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

227

,"Alaska Natural Gas Gross Withdrawals and Production"  

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

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

228

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

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

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

229

Generalization Of The Gross-Perry Metrics  

E-Print Network (OSTI)

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

M. Jakimowicz; J. Tafel

2008-10-10T23:59:59.000Z

230

,"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"

231

,"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"

232

An Empirical Analysis of Energy Intensity and Its Determinants at the State Level  

E-Print Network (OSTI)

that rising per capita income and higher energy prices have played an important part in lowering energy consumption to GDP ­ has long been of interest to energy researchers. Understanding the drivers of energy con. Efficiency refers to the reduced energy use per unit of economic activity within a particular sector (e

233

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

E-Print Network (OSTI)

25 Table 18: Total Energy Consumption of China's Steelalmost doubled, but total energy consumption only increasedsources of total energy consumption data for Chinas iron

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

234

Proc. 27th IEEE International Performance Computing and Communications Conference (IPCCC), Dec. 2008. Distributed Energy-Efficient Scheduling for Data-Intensive Applications with  

E-Print Network (OSTI)

. 2008. 1 Distributed Energy-Efficient Scheduling for Data-Intensive Applications with Deadline the performance of data-intensive applications on data grids, a large number of data replicas inevitably increase energy dissipation in storage resources on the data grids. In order to implement a data grid with high

Qin, Xiao

235

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...

Roop, J. M.

236

Could energy-intensive industries be powered by carbon-free electricity?  

Science Journals Connector (OSTI)

...possibility of converting industrial energy demand to electricity, and...decarbonization of the whole energy system using wind, biomass, solar power in deserts and...one-third of the world's energy consumption [1]; most of...

2013-01-01T23:59:59.000Z

237

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

238

Inertial fusion energy issues of intense heavy ion and laser beams interacting with ionized matter studied at GSI-Darmstadt  

Science Journals Connector (OSTI)

European activities on inertial fusion energy are coordinated by keep in touch activities of the European Fusion Programme coordinated by the European Commission. There is no general inertial fusion program in Europe. Instead, a number of activities relevant to inertial fusion are carried out by university groups and research centers. The Helmholtz-Research Center GSI-Darmstadt (Gesellschaft fr Schwerionenforschung) operates accelerator facilities which provide the highest intensity for heavy ion beams and therefore key issues of ion beam driven fusion can be addressed. In addition to the accelerator facilities, one high-energy laser system is available (nhelix: nanosecond high-energy laser for ion experiments) and another one is under construction (PHELIX: petawatt high-energy laser for ion experiments). The heavy ion synchrotron facility, SIS18 (Schwer-Ionen-Synchrotron 18) recently delivered an intense uranium beam that deposits about 1kJ/g specific energy in solid matter. Using this beam, experiments have been performed where solid Pb- and Ta-targets have been heated to the level of 1eV. Experiments to study interaction mechanism of heavy ion beams with matter have been continued and are reported here.

D.H.H. Hoffmann; A. Blazevic; S. Korostiy; P. Ni; S.A. Pikuz; B. Rethfeld; O. Rosmej; M. Roth; N.A. Tahir; S. Udrea; D. Varentsov; K. Weyrich; B.Yu. Sharkov; Y. Maron

2007-01-01T23:59:59.000Z

239

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

E-Print Network (OSTI)

16 4. Base Year Production, Trade and Energy UseYear Production, Trade and Energy Use Data 4.1. Production18. Total energy use is adjusted for net trade in auxiliary

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

240

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

E-Print Network (OSTI)

13.6% and 1.4% of primary energy consumption in China and13.6% and 1.4% of primary energy consumption in China andan effect on the primary energy consumption level and hence

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

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.


241

Analysis and Decomposition of the Energy Intensity of Industries in California  

E-Print Network (OSTI)

Renewable Energy (US DOE/EERE). 2010. States activities andmanufacturing sector (USDOE/EERE, 2010). Industry accounted

Can, Stephane de la Rue de

2014-01-01T23:59:59.000Z

242

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

Science Journals Connector (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

243

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

244

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

2012-11-12T23:59:59.000Z

245

Material and Energy Productivity  

Science Journals Connector (OSTI)

Weighted by 1990 activity levels, intensities were roughly 15?20% lower in 1994/5 than in 1973, which in turn meant real savings of energy; energy demand in IEA countries is roughly this much below what it would have been for the same GDP had these savings not occurred. ... Forcing impact I are P for population, A for income as gross domestic product (GDP) per capita, C for intensity of use as a good per GDP, and T for efficiency ratios as impact per good. ... Haberl, H.The Energetic Metabolism of Societies, Part I: Accounting Concepts J. Ind. Ecol. ...

Julia K. Steinberger; Fridolin Krausmann

2011-01-06T23:59:59.000Z

246

High-yield maize with large net energy yield and small global warming intensity  

Science Journals Connector (OSTI)

...from a previous life cycle assessment...pumping rather than diesel or natural gas, fine-tuning...actual baseline. General Discussion. Increasing...be natural gas, diesel, and electricity...energy per liter of diesel (43 MJL-1...Improvements in life-cycle energy efficiency...

Patricio Grassini; Kenneth G. Cassman

2012-01-01T23:59:59.000Z

247

Missouri Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

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

248

Arizona Natural Gas Gross Withdrawals and Production  

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

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

249

Arkansas Natural Gas Gross Withdrawals and Production  

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

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

250

Oregon Natural Gas Gross Withdrawals and Production  

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

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

251

Utah Natural Gas Gross Withdrawals and Production  

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

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

252

California Natural Gas Gross Withdrawals and Production  

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

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

253

Alaska Natural Gas Gross Withdrawals and Production  

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

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

254

Alabama Natural Gas Gross Withdrawals and Production  

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

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

255

Kansas Natural Gas Gross Withdrawals and Production  

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

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

256

Gross Theory of ?-Decay and Shell Effects  

Science Journals Connector (OSTI)

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

Takayoshi Kondoh; Masami Yamada

1976-03-01T23:59:59.000Z

257

OAK RIDGE NATIONAL LABORATORY U. S. DEPARTMENT OF ENERGY  

E-Print Network (OSTI)

. These factors include magnitude of the carbon tax, energy- intensity of the economy, and the tax base, among of a carbon tax in the Susquehanna River Basin Region (parts of PA, NY and NJ) were analyzed. The impacts of a $25 per ton carbon tax on the region's economy are modestly negative. GRP (Gross Regional Product

258

Efficient laser acceleration of proton beams for intense sources of low energy neutrinos  

SciTech Connect

The existence of highly efficient ion acceleration regimes in collective laser-plasma interactions opens up the possibility to develop high-energy-physics (HEP) facilities in conjunction with projects for inertial confined nuclear fusion (ICF) and neutron spallation sources.

Pegoraro, F. [Department of Physics, University of Pisa, Pisa (Italy); CNISM, Pisa (Italy); Bulanov, S. V.; Esirkepov, T. Zh.; Tajima, T. [Advanced Photon Research Centre, JAEA, Kizu, Kyoto (Japan); Migliozzi, P. [INFN, Sez. di Napoli, Naples (Italy); Terranova, F. [INFN, Laboratori Nazionali di Frascati, Frascati (Italy)

2006-04-07T23:59:59.000Z

259

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

260

Integrated estimation of commercial sector end-use load shapes and energy use intensities  

SciTech Connect

The Southern California Edison Company (SCE) and the California Energy Commission (CEC) have contracted with Energy Analysis Program of the Applied Science Division at the Lawrence Berkeley Laboratory (LBL) to develop an integrated set of commercial sector load shapes (LS) and energy utilization indices (EUI) for use in forecasting electricity demand. The overall objectives of this project are to conduct detailed analyses of SCE data on commercial building characteristics, energy use, and whole-building load shapes, and, in conjunction with other data, to develop, test, and apply an integrated approach for the estimation of end-use LSs and EUIs. The project is one of the first attempts ever to combine simulation-based, prototypical building analyses with direct reconciliation to measured hourly load data.

Akbari, H.; Eto, J.; Turiel, I.; Heinemeier, K.; Lebot, B.; Nordman, B.; Rainer, L.

1989-01-01T23:59:59.000Z

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.


261

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

E-Print Network (OSTI)

industry includes all coke making, pelletizing, sintering,accounting for energy used for coke production within theinput used as a feedstock for coke making and also as a fuel

Price, Lynn

2014-01-01T23:59:59.000Z

262

Multiple metrics for quantifying the intensity of water consumption of energy production  

E-Print Network (OSTI)

Discussion of the environmental implications of worldwide energy demand is currently dominated by the effects of carbon dioxide (CO[subscript 2]) emissions on global climate. At the regional scale, however, water resource ...

Spang, E S

263

Long-Term Shifts in Life-Cycle Energy Efficiency and Carbon Intensity  

Science Journals Connector (OSTI)

System-level life-cycle efficiency may decrease as mitigation efforts intensify, since low-efficiency renewable systems with high output have much lower GHG emissions than some high-efficiency fossil fuel systems. ... Climate policies accelerate both improvements in EF and the adoption of renewable technologies, resulting in considerably lower primary energy demand and GHG emissions. ... Schipper, L.; Saenger, C.; Sudardshan, A.Transport and carbon emissions in the United States: The Long View Energies 2011, 4, 563 581 ...

Sonia Yeh; Gouri Shankar Mishra; Geoff Morrison; Jacob Teter; Raul Quiceno; Kenneth Gillingham; Xavier Riera-Palou

2013-02-14T23:59:59.000Z

264

Resonant-Raman intensities and transition energies of the E11 transition in carbon nanotubes * J. Maultzsch,1 S. Reich,2 and C. Thomsen1  

E-Print Network (OSTI)

Resonant-Raman intensities and transition energies of the E11 transition in carbon nanotubes H- troscopy. Radial breathing mode spectra were collected varying the excitation energy in the near-infrared from 1.15 to 1.48 eV. From resonance profiles we obtained the E11 S energies of 11 nanotubes, extending

Nabben, Reinhard

265

Data Intensive  

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

Data Intensive Data Intensive Computing Pilot Program In 2014 NERSC is conducting its second and last round of allocations to projects in data intensive science. This pilot aims to...

266

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

E-Print Network (OSTI)

committed to reduce its carbon intensity (CO 2 per unit ofcommitted to reduce its carbon intensity (CO 2 per unit of2 emissions, and the 40-45% carbon intensity reduction goals

Zhou, Nan

2013-01-01T23:59:59.000Z

267

Poor agreement between continuous measurements of energy expenditure and routinely used prediction equations in intensive care unit patients  

Science Journals Connector (OSTI)

SummaryBackground & aims A wide variation in 24h energy expenditure has been demonstrated previously in intensive care unit (ICU) patients. The accuracy of equations used to predict energy expenditure in critically ill patients is frequently compared with single or short-duration indirect calorimetry measurements, which may not represent the total energy expenditure (TEE) of these patients. To take into account this variability in energy expenditure, estimates have been compared with continuous indirect calorimetry measurements. Methods Continuous (24h/day for ?5 days) indirect calorimetry measurements were made in patients requiring mechanical ventilation for ?5 days. The Harris-Benedict, Schofield and Ireton-Jones equations and the American College of Chest Physicians recommendation of 25kcal/kg/day were used to estimate energy requirements. Results A total of 192 days of measurements, in 27 patients, were available for comparison with the different equations. Agreement between the equations and measured values was poor. The Harris-Benedict, Schofield and ACCP equations provided more estimates (66%, 66% and 65%, respectively) within 80% and 110% of TEE values. However, each of these equations would have resulted in clinically significant underfeeding (110% of TEE) in 18%, 19% and 13% of patients, respectively. Conclusions Limits of agreement between the different equations and TEE values were unacceptably wide. Prediction equations may result in significant under or overfeeding in the clinical setting.

Clare L. Reid

2007-01-01T23:59:59.000Z

268

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

E-Print Network (OSTI)

et al. 2009. Shift From Coke to Coal Using Direct Reductionadopted in China include: Coke Dry Quenching Theseand Hyman (2001) include coke-making energy use, Kim and

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

269

Sherwin-Williams Richmond, Kentucky, Facility Achieves 26% Energy Intensity Reduction; Leads to Corporate Adoption of Save Energy Now LEADER  

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

This case study summarizes energy efficiency achievements made by Sherwin-Williams' Richmond, Kentucky, manufacturing facility under the Save Energy Now LEADER program, now known as the Better Plants Program. This includes a variety of steam system and compressed air technology improvements.

270

Integrated estimation of commercial sector end-use load shapes and energy use intensities  

SciTech Connect

The Southern California Edison Company (SCE) and the California Energy Commission (CEC) have contracted with the Energy Analysis Program of the Applied Science Division at the Lawrence Berkeley Laboratory (LBL) to develop an integrated set of commercial sector load shapes (LS) and energy utilization indices (EUI) for use in forecasting electricity demand. The objectives of this project are to conduct detailed analyses of SCE data on commercial building characteristics, energy use, and whole-building load shapes; and in conjunction with other data, to develop, test, and apply an integrated approach for the estimation of end-use LSs and EUIs. The project represents one of the first attempts to combine simulation-based, prototypical building analyses with direct reconciliation to measured hourly load data. The project examined electricity and gas use for nine building types, including large offices, small offices, large retails, small retails, food stores, sitdown restaurants, fastfood restaurants, refrigerated warehouses, and non-refrigerated warehouses. For each building type, nine end uses were examined, including cooling, heating, ventilation, indoor lighting, outdoor lighting, miscellaneous equipment, water heating, cooking, and refrigeration. For the HVAC end uses (cooling, ventilation, and heating), separate analyses were performed for three climate zones: coastal, inland, and desert.

Akbari, H.; Eto, J.; Turiel, I.; Heinemeier, K.; Lebot, B.; Nordman, B.; Rainer, L.

1989-01-01T23:59:59.000Z

271

Could energy intensive industries be powered by carbon-free electricity?  

E-Print Network (OSTI)

chemical services ­ for example, coal, converted to coke, acts as a reducing agent in blast furnaces.) (a comes from coal, oil, and natural gas. What infrastructure would be required to deliver the same amount to Royal Society TEX Paper #12;2 David J C MacKay FRS Primary energy consumption: 2740TWh/y Coal: 475 TWh

MacKay, David J.C.

272

National Energy Efficiency Evaluation, Measurement and Verification (EM&V) Standard: Scoping Study of Issues and Implementation Requirements  

E-Print Network (OSTI)

Gross energy/demand savings (fuel oil, natural gas andGross energy/demand savings (fuel oil, natural gas andM&V - Gross energy/demand savings (fuel oil, natural gas and

Schiller, Steven R.

2011-01-01T23:59:59.000Z

273

Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM) This article has been downloaded from IOPscience. Please scroll down to see the full text article.  

E-Print Network (OSTI)

Multi-energy CT based on a prior rank, intensity and sparsity model (PRISM) This article has been:10.1088/0266-5611/27/11/115012 Multi-energy CT based on a prior rank, intensity and sparsity model and sparsity of a multi-energy image, and intensity/spectral characteristics of base materials. Furthermore, we

Wang, Ge

274

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...

275

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

Gasoline and Diesel Fuel Update (EIA)

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

276

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

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

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

277

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

Gasoline and Diesel Fuel Update (EIA)

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

278

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...

279

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

280

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

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

Effects of high-energy intense multi-bunches proton beam on materials  

Science Journals Connector (OSTI)

Abstract The prediction of material response in case of interaction with successive high energy proton bunches requires new tools and multidisciplinary approaches. The impact leads the propagation of shock-waves, which travels through the hit component causing a substantial density reduction and the appearance of tunneling effect along the beam direction. For taking into account this effect, an automatic procedure, consisting in coupling FLUKA Monte-Carlo and FE LS-DYNA codes, is developed. The case study consists of the accidental loss of 60 bunches of one of the 7TeV proton beams of the Large Hadron Collider (CERN) on a tungsten collimator.

M. Scapin; L. Peroni; V. Boccone; F. Cerutti

2014-01-01T23:59:59.000Z

282

The potential impacts of border tax adjustments on imports of energy-intensive goods in the EU and USA markets  

Science Journals Connector (OSTI)

Government action to address climate change has been very varied and industries in the developed world, especially those that which are energy intensive, are increasingly concerned about the potential negative impacts of abatement measures on their international competitiveness. This paper looks at the potential impacts of one measure which has been proposed to address these competitiveness concerns border tax adjustments (BTAs). It finds that the potential impacts of such measures may not justify the complexity of their imposition. The impacts on competitiveness are likely to be limited and potential negative side effects on some poor developing countries cannot be ruled out. The country most likely to be impacted by BTAs in the EU and USA markets is China, while the low-income countries most likely to be affected are Niger, Mozambique and Tadjikistan, in the EU market and Liberia, Tadjikistan, and Uzbekistan in the USA market.

Louise Curran

2010-01-01T23:59:59.000Z

283

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

284

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

E-Print Network (OSTI)

Fuel Oil Natural Gas million kWh NAICS Residual Fuel OilNAICS Iron and Steel Mills Steel Products from Purchased Steel Residual Fuel Oil Distillate Fuel Oil Natural GasNAICS Industry Other Shipments of Energy Sources Produced Onsite Total Electricity Residual Fuel Oil Distillate Fuel Oil Natural Gas

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

285

Modeling the time and energy behavior of the GCR intensity in the periods of low activity around the last three solar minima  

E-Print Network (OSTI)

Using the simple model for the description of the GCR modulation in the heliosphere and the sets of parameters discussed in the accompanying paper we model some features of the time and energy behavior of the GCR intensity near the Earth observed during periods of low solar activity around three last solar minima. In order to understand the mechanisms underlying these features in the GCR behavior, we use the suggested earlier decomposition of the calculated intensity into the partial intensities corresponding to the main processes (diffusion, adiabatic losses, convection and drifts).

Krainev, M B; Kalinin, M S; Svirzhevskaya, A K; Svirzhevsky, N S

2014-01-01T23:59:59.000Z

286

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

287

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

288

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

289

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

E-Print Network (OSTI)

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

290

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.

291

,"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"

292

,"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"

293

A Dynamical System Modelling Approach to Gross' Model of Emotion Regulation Tibor Bosse (tbosse@few.vu.nl) Matthijs Pontier (mpontier@few.vu.nl) Jan Treur (treur@few.vu.nl)  

E-Print Network (OSTI)

a computational model to simulate emotion regulation, based on the process model described informally by Gross to interact intensively with automated systems, it is useful if the system maintains a model of the emotional used is briefly introduced. After that, the simulation model formalising the model of Gross

Treur, Jan

294

Reduction in the intensity of solar X-ray emission in the 2- to 15-keV photon energy range and heating of the solar corona  

SciTech Connect

The time profiles of the energy spectra of low-intensity flares and the structure of the thermal background of the soft X-ray component of solar corona emission over the period of January-February, 2003, are investigated using the data of the RHESSI project. A reduction in the intensity of X-ray emission of the solar flares and the corona thermal background in the 2- to 15-keV photon energy range is revealed. The RHESSI data are compared with the data from the Interball-Geotail project. A new mechanism of solar corona heating is proposed on the basis of the results obtained.

Mirzoeva, I. K., E-mail: colombo2006@mail.ru [Russian Academy of Sciences, Space Research Institute (Russian Federation)

2013-04-15T23:59:59.000Z

295

NUCLEAR ENERGY  

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

Power Research Institute FE DOE-Office of Fossil Energy GDP Gross domestic product GHG Greenhouse gas GWe Gigawatt (electric) GWe-yr Gigawatt-year (electric) HTGR...

296

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

297

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

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

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

298

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

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

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

299

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

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

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

300

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

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

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

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

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

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

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

302

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

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

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

303

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

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

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

304

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

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

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

305

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

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

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

306

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

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

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

307

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

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

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

308

,"New York Natural Gas Gross Withdrawals and Production"  

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

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

309

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

310

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

311

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

312

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

313

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

314

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

315

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

316

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

317

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

318

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

319

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

320

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.


321

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

322

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

323

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

324

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

325

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

326

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

327

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

328

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

329

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

330

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

331

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

332

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

333

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

334

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

335

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

336

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

337

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

338

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

339

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

340

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

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

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

342

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

343

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

344

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

345

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

346

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

347

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

SciTech Connect

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

348

Annual Energy Outlook with Projections to 2025 - Market Trends- Energy  

Gasoline and Diesel Fuel Update (EIA)

Energy Demand Energy Demand Annual Energy Outlook 2005 Market Trends - Energy Demand Figure 42. Energy use per capita and per dollar of gross domestic product, 1970-2025 (index, 1970 = 1). Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure data Average Energy Use per Person Increases in the Forecast Energy intensity, as measured by energy use per 2000 dollar of GDP, is projected to decline at an average annual rate of 1.6 percent, with efficiency gains and structural shifts in the economy offsetting growth in demand for energy services (Figure 42). The projected rate of decline falls between the average rate of 2.3 percent from 1970 through 1986, when energy prices increased in real terms, and the 0.7-percent rate from 1986 through

349

Mason Gross School of the Arts Extension Division  

E-Print Network (OSTI)

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

Goodman, Robert M.

350

A New High-intensity, Low-momentum Muon Beam for the Generation of Low-energy Muons at PSI  

Science Journals Connector (OSTI)

At the Paul Scherrer Institute (PSI, Villigen, Switzerland) a new high-intensity muon beam line with momentum p...< 40MeV/c is currently being commissioned. The beam line is especially designed to serve the need...

T. Prokscha; E. Morenzoni; K. Deiters; F. Foroughi; D. George

2004-12-01T23:59:59.000Z

351

A New High-Intensity, Low-Momentum Muon Beam for the Generation of Low-Energy Muons at PSI  

Science Journals Connector (OSTI)

At the Paul Scherrer Institute (PSI, Villigen, Switzerland) a new high-intensity muon beam line with momentum p...< 40 MeV/c is currently being commissioned. The beam line is especially designed to serve the need...

T. Prokscha; E. Morenzoni; K. Deiters; F. Foroughi; D. George; R. Kobler

2005-01-01T23:59:59.000Z

352

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

353

The relationship between maximum tolerated light intensity and photoprotective energy dissipation in the photosynthetic antenna: chloroplast gains and losses  

Science Journals Connector (OSTI)

...Zeaxanthin synthesis, energy dissipation, and photoprotection...1987 Physiological factors associated with fluorescence...Modulation of photosynthetic energy conversion efficiency in nature...photosystem II thermal energy dissipation on transfer...

2014-01-01T23:59:59.000Z

354

Neutron Halo Isomers in Stable Nuclei and their Possible Application for the Production of Low Energy, Pulsed, Polarized Neutron Beams of High Intensity and High Brilliance  

E-Print Network (OSTI)

We propose to search for neutron halo isomers populated via $\\gamma$-capture in stable nuclei with mass numbers of about A=140-180 or A=40-60, where the $4s_{1/2}$ or $3s_{1/2}$ neutron shell model state reaches zero binding energy. These halo nuclei can be produced for the first time with new $\\gamma$-beams of high intensity and small band width ($\\le$ 0.1%) achievable via Compton back-scattering off brilliant electron beams thus offering a promising perspective to selectively populate these isomers with small separation energies of 1 eV to a few keV. Similar to single-neutron halo states for very light, extremely neutron-rich, radioactive nuclei \\cite{hansen95,tanihata96,aumann00}, the low neutron separation energy and short-range nuclear force allows the neutron to tunnel far out into free space much beyond the nuclear core radius. This results in prolonged half lives of the isomers for the $\\gamma$-decay back to the ground state in the 100 ps-$\\mu$s range. Similar to the treatment of photodisintegration of the deuteron, the neutron release from the neutron halo isomer via a second, low-energy, intense photon beam has a known much larger cross section with a typical energy threshold behavior. In the second step, the neutrons can be released as a low-energy, pulsed, polarized neutron beam of high intensity and high brilliance, possibly being much superior to presently existing beams from reactors or spallation neutron sources.

D. Habs; M. Gross; P. G. Thirolf; P. Bni

2010-09-30T23:59:59.000Z

355

Accelerators for Intensity Frontier Research  

SciTech Connect

In 2008, the Particle Physics Project Prioritization Panel identified three frontiers for research in high energy physics, the Energy Frontier, the Intensity Frontier, and the Cosmic Frontier. In this paper, I will describe how Fermilab is configuring and upgrading the accelerator complex, prior to the development of Project X, in support of the Intensity Frontier.

Derwent, Paul; /Fermilab

2012-05-11T23:59:59.000Z

356

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

Energy Savers (EERE)

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

357

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

Science Journals Connector (OSTI)

......the energy frontier of high-energy physics is, of course, to produce new heavy particles; therefore, the realization of the high CMS energy is the most important task...Non-Newtonian Gravity (1998) New York: AIP Press. 17 Fujii Y......

Kensuke Homma

2012-01-01T23:59:59.000Z

358

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

Gasoline and Diesel Fuel Update (EIA)

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

359

Manifestation of quantum chaos on scattering techniques: application to low-energy and photo-electron diffraction intensities  

E-Print Network (OSTI)

Intensities of LEED and PED are analyzed from a statistical point of view. The probability distribution is compared with a Porter-Thomas law, characteristic of a chaotic quantum system. The agreement obtained is understood in terms of analogies between simple models and Berry's conjecture for a typical wavefunction of a chaotic system. The consequences of this behaviour on surface structural analysis are qualitatively discussed by looking at the behaviour of standard correlation factors.

P. L. de Andres; J. A. Vergs

1997-10-08T23:59:59.000Z

360

Gross separation approaching a blunt trailing edge as the turbulence intensity increases  

Science Journals Connector (OSTI)

...also the central one in [11], which does not allow for a solution confirming consistency...15). The strategy to solve (4.4) does not impose any strong restrictions on U...Boisvert, and CW Clark (eds) 2010 NIST handbook of mathematical functions. National Institute...

2014-01-01T23:59:59.000Z

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.


361

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

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

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

362

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

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

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

363

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

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

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

364

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

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

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

365

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

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

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

366

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

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

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

367

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

Gasoline and Diesel Fuel Update (EIA)

Efficiency Efficiency exec summary Executive Summary With more efficient light-duty vehicles, motor gasoline consumption declines while diesel fuel use grows, even as more natural agas is used in heavy-duty vehicles....Read full section mkt trends Market Trends 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 Residential energy intensity continues to declines across a range of technology assumptions...Read full section Electricity use per household declines from 2011 to 2040 in the Reference case...Read full section Efficiency can offset increases in residential service demand...Read full section Planned expiration of tax credits affects renewable energy use in

368

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

Gasoline and Diesel Fuel Update (EIA)

Efficiency Efficiency exec summary Executive Summary With more efficient light-duty vehicles, motor gasoline consumption declines while diesel fuel use grows, even as more natural agas is used in heavy-duty vehicles....Read full section mkt trends Market Trends 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 Residential energy intensity continues to declines across a range of technology assumptions...Read full section Electricity use per household declines from 2011 to 2040 in the Reference case...Read full section Efficiency can offset increases in residential service demand...Read full section Planned expiration of tax credits affects renewable energy use in

369

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

370

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

371

Interference-induced enhancement of intensity and energy of a multimode quantum optical field by a subwavelength array of coherent light sources  

E-Print Network (OSTI)

Recently, we have showed a mechanism that could provide a great transmission enhancement of the light waves passed through subwavelength aperture arrays in thin metal films not by the plasmon-polariton waves, but by the constructive interference of diffracted waves (beams generated by the apertures) at the detector placed in the far-field zone. We now present a quantum reformulation of the model. The Hamiltonian describing the interference-induced enhancement of the intensity and energy of a multimode quantum optical field is derived. Such a field can be produced, for instance, by a subwavelength array of coherent light sources.

S. V. Kukhlevsky

2008-06-13T23:59:59.000Z

372

Audit Report: OAS-L-11-02 | Department of Energy  

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

Audit Report: OAS-L-11-02 Audit Report: OAS-L-11-02 Audit Report: OAS-L-11-02 February 9, 2011 The Department of Energy's Energy Conservation Efforts The Energy Independence and Security Act of 2007 (EISA) requires Federal agencies to apply energy efficiency measures to Federal buildings so that by Fiscal Year (FY) 2015, each agency's energy intensity is reduced by 30 percent from the baseline established in FY 2003. Energy intensity is calculated as the energy consumption in British Thermal Units (BTUs) per gross square foot of the Federal buildings. The Department of Energy's (Department) FY 2003 energy consumption baseline for its sites around the Nation was 23 trillion BTUs, supplied by energy acquired at an annual cost of around $229 million. If the Department achieves the 30 percent energy

373

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

Gasoline and Diesel Fuel Update (EIA)

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

374

Role of Modeling When Designing for Absolute Energy Use Intensity Requirements in a Design-Build Framework: Preprint  

SciTech Connect

The Research Support Facility was designed to use half the energy of an equivalent minimally code-compliant building, and to produce as much renewable energy as it consumes on an annual basis. These energy goals and their substantiation through simulation were explicitly included in the project's fixed firm price design-build contract. The energy model had to be continuously updated during the design process and to match the final building as-built to the greatest degree possible. Computer modeling played a key role throughout the design process and in verifying that the contractual energy goals would be met within the specified budget. The main tool was a whole building energy simulation program. Other models were used to provide more detail or to complement the whole building simulation tool. Results from these specialized models were fed back into the main whole building simulation tool to provide the most accurate possible inputs for annual simulations. This paper will detail the models used in the design process and how they informed important program and design decisions on the path from preliminary design to the completed building.

Hirsch, A.; Pless, S.; Guglielmetti, R.; Torcellini, P. A.; Okada, D.; Antia, P.

2011-03-01T23:59:59.000Z

375

Longevity of the quark-gluon plasma and the mixed phase from intensity interferometry of high energy photons  

E-Print Network (OSTI)

Two-photon intensity interferometry is shown to provide an accurate measurement of lifetime of quark-gluon plasma created in ultra-relativistic heavy ion collisions via the difference of outward and sidewardcorrelation radii. Under the assumption of a longitudinal, boost invariant expansion of the plasma, we obtain analytical expressions for the correlations from the quark-gluon plasma phase. A $3+1$ dimensional expansion of the plasma along with a first order phase transition to hadrons is next considered, and, leads to a source with two characteristic lifetimes, one for the quark-gluon plasma phase, and the other for the longer lived mixed phase. This may even help us to {\\em experimentally} determine the order of the phase transition.

Dinesh K. Srivastava; Charles Gale

1993-11-10T23:59:59.000Z

376

China Energy Databook -- User Guide and Documentation, Version 7.0  

E-Print Network (OSTI)

and Exports Figure 7B.1. Net Energy Trade Figure 7B.2. GrossFigures Figure 7B.1. Net Energy Trade Figure 7B.2. GrossNet Trade [5] Net Energy Trade [5] [1] Exports are composed

Fridley, Ed., David

2008-01-01T23:59:59.000Z

377

Energy Audit Practices in China: National and Local Experiences and Issues  

E-Print Network (OSTI)

of reducing its energy use per unit of GDP by 20% betweenreduce energy use per unit of gross domestic product (GDP)as energy use per unit of gross domestic product (GDP), by

Shen, Bo

2013-01-01T23:59:59.000Z

378

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network (OSTI)

that energy efficiency or energy intensity for a particularbased upon trends in energy intensity parameters which areBuilding type (12) Energy intensity Industrial Shipments

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

379

Impact of high energy high intensity proton beams on targets: Case studies for Super Proton Synchrotron and Large Hadron Collider  

Science Journals Connector (OSTI)

The Large Hadron Collider (LHC) is designed to collide two proton beams with unprecedented particle energy of 7TeV. Each beam comprises 2808 bunches and the separation between two neighboring bunches is 25ns. The energy stored in each beam is 362MJ, sufficient to melt 500kg copper. Safety of operation is very important when working with such powerful beams. An accidental release of even a very small fraction of the beam energy can result in severe damage to the equipment. The machine protection system is essential to handle all types of possible accidental hazards; however, it is important to know about possible consequences of failures. One of the critical failure scenarios is when the entire beam is lost at a single point. In this paper we present detailed numerical simulations of the full impact of one LHC beam on a cylindrical solid carbon target. First, the energy deposition by the protons is calculated with the FLUKA code and this energy deposition is used in the BIG2 code to study the corresponding thermodynamic and the hydrodynamic response of the target that leads to a reduction in the density. The modified density distribution is used in FLUKA to calculate new energy loss distribution and the two codes are thus run iteratively. A suitable iteration step is considered to be the time interval during which the target density along the axis decreases by 15%20%. Our simulations suggest that the full LHC proton beam penetrates up to 25m in solid carbon whereas the range of the shower from a single proton in solid carbon is just about 3m (hydrodynamic tunneling effect). It is planned to perform experiments at the experimental facility HiRadMat (High Radiation Materials) at CERN using the proton beam from the Super Proton Synchrotron (SPS), to compare experimental results with the theoretical predictions. Therefore simulations of the response of a solid copper cylindrical target hit by the SPS beam were performed. The particle energy in the SPS beam is 440GeV while it has the same bunch structure as the LHC beam, except that it has only up to 288 bunches. Beam focal spot sizes of ?=0.1, 0.2, and 0.5mm have been considered. The phenomenon of significant hydrodynamic tunneling due to the hydrodynamic effects is also expected for the experiments.

N. A. Tahir, J. Blanco Sancho, A. Shutov, R. Schmidt, and A. R. Piriz

2012-05-08T23:59:59.000Z

380

Energy Department Announces Winner of the 2013 Better Buildings Federal  

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

Winner of the 2013 Better Buildings Winner of the 2013 Better Buildings Federal Award Competition Energy Department Announces Winner of the 2013 Better Buildings Federal Award Competition December 17, 2013 - 3:51pm Addthis The Energy Department today announced that the General Services Administration's (GSA) United States Court House in Wichita, Kansas is the winner of the 2013 Better Buildings Federal Award. The Better Buildings Federal Award challenges agencies to achieve 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 costs in the 12 month competition period. Building on past energy efficiency improvements funded through the American Recovery and Reinvestment Act, GSA Region 6 implemented energy efficiency

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

Origin of protons accelerated by an intense laser and the dependence of their energy on the plasma density  

Science Journals Connector (OSTI)

We study the high-energy (14 MeV) proton production from a slab plasma irradiated by a ultrashort high-power laser. In our 2.5-dimensional particle-in-cell simulations, a p-polarized laser beam of 1.61019 W/cm2, 300 fs, ?L=1.053 ?m, illuminates a slab plasma normally; the slab plasma consists of a hydrogen plasma, and the target plasma thickness and the laser spot size are 2.5?L and 5?L, respectively. The simulation results show that an emitted proton energy depends on the slab plasma density, and three kinds of high-energy proton beams are generated at the target plasma surfaces: one kind of the proton beams is produced at the laser-illuminated target surface and accelerated to the same laser-incident side. The second is generated at the target surface opposite to the laser-illuminated target surface and is accelerated outward on the same side. The third is generated at the laser-illuminated target surface and accelerated to the opposite side while passing through the target plasma. The simulations also show a mechanism of proton accelerations. In an overdense plasma, laser energy goes to energies of hot electrons and magnetic fields in part; the electrons oscillate around the slab plasma so that a static electric field is generated and consequently protons are extracted. The magnetic field generated in the slab plasma exists longer and heats up the plasma electrons to sustain the static electric field even after the laser termination.

Takashi Nakamura and Shigeo Kawata

2003-02-06T23:59:59.000Z

382

Woodland owners' attitudes towards energy from forest biomass in a carbon-intensive jurisdiction: Case study of Nova Scotia, Canada  

Science Journals Connector (OSTI)

Abstract The use of forest biomass in thermal generation processes has been recognized by the Government of Nova Scotia (NS) as one option that could help meet its renewable electricity goals (25% by 2015 and 40% by 2020). Over half of the woodland in NS is owned by small-private woodland owners (51%), indicating that they could significantly influence the future of NS forests and its potential use for energy purposes. This paper presents the results of a survey of small-woodland owners on their attitudes towards using energy from forest biomass. 489 small-woodland owners responded to mail-out surveys and 14 rural community members participated in three focus groups. Three major findings emerged. First, it was found that the acceptability of using forest products varied depending on multiple factors the source of biomass, harvesting methods, and [predicted] end-use. Second, forest sustainability and keeping resources local were the two most important concerns amongst respondents. Finally, respondents felt that better collaboration with other stakeholders and education around the issues would be the best strategies for overcoming these concerns. The paper also highlights the barriers and drivers as perceived by the woodland owners as they relate to the possibility of using more biomass for energy in the future.

Margo MacGregor; Michelle Adams; Peter Duinker

2014-01-01T23:59:59.000Z

383

California Natural Gas Gross Withdrawals Total Offshore (Million Cubic  

Gasoline and Diesel Fuel Update (EIA)

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

384

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

Gasoline and Diesel Fuel Update (EIA)

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

385

Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic  

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

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

386

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

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

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

387

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

Gasoline and Diesel Fuel Update (EIA)

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

388

Equation-of-state properties of high-energy-density matter using intense heavy ion beams with an annular focal spot  

Science Journals Connector (OSTI)

This paper presents two-dimensional numerical simulations of the hydrodynamic response of solid as well as hollow cylindrical targets made of lead that are irradiated by an intense beam of uranium ions which has an annular focal spot. Using a particle tracking computer code, it has been shown that a plasma lens can generate such a beam with parameters used in the calculations presented in this paper. The total number of particles in the beam is 21011 and the particle energy is about 200 MeV/u that means a total energy of approximately 1.5 kJ. This energy is delivered in a pulse that is 50 ns long. These beam parameters lead to a specific energy deposition of 50100 kJ/g and a specific power deposition of 12 TW/g in solid matter. These calculations show that in case of the solid lead cylinder, it may be possible to achieve more than 4 times solid lead density along the cylinder axis at the time of maximum compression. The pressure in the compressed region is about 20 Mbar and the temperature is a few eV. In the case of a hollow cylinder, one also achieves the same degree of compression but now the temperature in the compressed region is much higher (over 10 eV). Such samples of highly compressed matter can be used to study the equation-of-state properties of high-energy-density matter. It is expected that by the end of the year 2001, after completion of the upgrade of the existing facilities, the above beam parameters will be available at the Gesellschaft fr Schwerionenforschung (GSI), Darmstadt. This will open up the possibility to carry out very interesting experiments on a number of important problems including the investigation of the EOS of high-energy-density matter.

N. A. Tahir, D. H. H. Hoffmann, A. Kozyreva, A. Shutov, J. A. Maruhn, U. Neuner, A. Tauschwitz, P. Spiller, and R. Bock

2000-07-01T23:59:59.000Z

389

Origin of Reflection High-Energy Electron-Diffraction Intensity Oscillations during Molecular-Beam Epitaxy: A Computational Modeling Approach  

Science Journals Connector (OSTI)

Temporal oscillations in the specular beam of reflection high-energy electron diffraction (RHEED) provide the primary method of monitoring growth by molecular-beam epitaxy. We develop a model to investigate the origin of these oscillations with which, by monitoring the step density of a growing sample, we are able to reproduce all of the principal features of recent RHEED measurements. Our work demonstrates the considerable advantages in adoption of simple monatomic growth models instead of the complex models used for studying the growth of compound semiconductors.

Shaun Clarke and Dimitri D. Vvedensky

1987-05-25T23:59:59.000Z

390

Surface structure of coadsorbed benzene and carbon monoxide on the rhodium(111) single crystal analyzed with low-energy electron diffraction intensities  

SciTech Connect

The first structural analysis of a molecular coadsorbate system is presented. Mutual reordering and site shifting are found to occur for benzene and CO coadsorbed in a (/sub 13//sup 31/) lattice on Rh(111). This low-energy electron diffraction (LEED) intensity analysis yields the first confirmed hollow-site adsorption of CO on a single-crystal metal surface, with a C-O bond length expanded by 0.06 +/- 0.05 A from the gas phase. The flat-lying benzene is found centered over hcp-type hollow sites with a strong Kekule-type distortion: C-C bond lengths alternate between 1.33 +/- 0.15 A (hydrogen positions were not determined). This suggests the possibility of a 1,3,5-cyclohexatriene species being formed. The Rh-C bond length is 2.35 +/- 0.05 A for benzene and 2.16 +/- 0.04 A for CO.

Van Hove, M.A.; Lin, R.F.; Somorjai, G.A.

1986-05-14T23:59:59.000Z

391

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

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

392

Compression and acceleration of electron bunches to high energies in the interference field of intense laser pulses with tilted amplitude fronts: concept and modelling  

SciTech Connect

A new concept of accelerating electrons by laser radiation is proposed, namely, direct acceleration by a laser field under the conditions of interference of several relativistic-intensity laser pulses with amplitude fronts tilted by the angle 45 Degree-Sign with respect to the phase fronts. Due to such interference the traps moving with the speed of light arise that capture the electrons, produced in the process of ionisation of low-density gas by the same laser radiation. The modelling on the basis of solving the relativistic Newton equation with the appropriate Lorenz force shows that these traps, moving in space, successively collect electrons from the target, compress the resulting electron ensemble in all directions up to the dimensions smaller than the wavelength of the laser radiation and accelerate it up to the energies of the order of a few GeV per electron. (extreme light fields and their applications)

Korobkin, V V; Romanovsky, Mikhail Yu; Trofimov, V A; Shiryaev, O B [A M Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow (Russian Federation)

2013-03-31T23:59:59.000Z

393

Integrated estimation of commercial sector end-use load shapes and energy use intensities in the PG&E service area  

SciTech Connect

This project represents a unique research effort to address the commercial sector end-use energy forecasting data needs of the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). The object of the project was to develop an updated set of commercial sector end-use energy use intensity (EUI) data that has been fully reconciled with measured data. The research was conducted in two stages. First, we developed reconciled electricity end-use EUIs and load shapes for each of the 11 building types in the inland and coastal regions of the PG&E service territory using information collected in 1986. Second, we developed procedures to translate these results into a consistent set of commercial sector forecasting model inputs recognizing the separate modeling conventions used by PG&E and CEC. EUIs have been developed for: II commercial building types; up to 10 end uses; up to 3 fuel types; 2 and 5 subservice territory forecasting regions (as specified by the PG&E and CEC forecasting models, respectively); and up to 2 distinct vintages corresponding to the period prior to and immediately following the adoption of the first generation of California building and equipment standards. For the electricity end uses, 36 sets of daily load shapes have been developed representing average weekday, average weekend, and peak weekday electricity use for each month of the year by building type for both the inland and coastal climate zones.

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

1993-12-01T23:59:59.000Z

394

Energy and value  

SciTech Connect

Energy theories of value are reviewed and a new variant introduced, based on the empirical relationship between price per unit mass and energy requirement per unit mass for a wide range of commodities. It is shown that the demand pattern of households in the United Kingdom and the United States for energy (direct and embodied in goods) would tend to produce a declining ratio of energy to gross domestic product (GDP). However, the tendency of goods with low energy intensity to be associated with low-productivity gains introduces a counteracting effect, and energy/GDP ratios are fairly stable over time. The study of UK and US demand patterns is expanded to cover five additional developed countries, and their similarity is demonstrated once the effect of fuel price and time period of adjustment are taken into account. Finally, the simple relationship connecting energy intensity, fuel price, and time constant of adjustment is used to forecast (retrospectively) the energy use per dollar of GDP in each of the seven countries for the year 1976.

Roberts, P.C.

1981-06-01T23:59:59.000Z

395

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

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

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

396

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

Gasoline and Diesel Fuel Update (EIA)

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

397

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

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

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

398

Local well-posedness for Gross-Pitaevskii hierarchies  

E-Print Network (OSTI)

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

Zeqian Chen

2010-11-21T23:59:59.000Z

399

Integrated Planning for Water and Energy Systems  

E-Print Network (OSTI)

Policy 2. Energy Intensity of Water 3. Water Intensity of Energy 1. Integrated Energy and Water Policy 2. Energy Intensity of Water 3. Water Intensity of Energy #12;Total Water Withdrawals, 2000Total Water at Edmonston #12;Energy Intensity of WaterEnergy Intensity of Water Energy intensity, or embedded energy

Keller, Arturo A.

400

Californias Energy Future: Transportation Energy Use in California  

E-Print Network (OSTI)

travel demand, reducing energy intensity and reducing carbonVehicles Vehicle Energy Intensity (E) MPGGE 1990 CA Fleetthe improvements in energy intensity that could be achieved

Yang, Christopher

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.


401

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

Gasoline and Diesel Fuel Update (EIA)

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

402

On the well-posedness and scattering for the Gross-Pitaevskii hierarchy via quantum de Finetti  

E-Print Network (OSTI)

We prove the existence of scattering states for the defocusing cubic Gross-Pitaevskii (GP) hierarchy in ${\\mathbb R}^3$. Moreover, we show that an energy growth condition commonly used in the well-posedness theory of the GP hierarchy is, in a specific sense, necessary. In fact, we prove that without the latter, there exist initial data for the focusing cubic GP hierarchy for which instantaneous blowup occurs.

Thomas Chen; Christian Hainzl; Natasa Pavlovic; Robert Seiringer

2014-03-27T23:59:59.000Z

403

Energy Efficiency Indicators Methodology Booklet  

E-Print Network (OSTI)

for the monitoring of energy intensity developments in theSchaeffer. 1997. Energy intensity in the iron and steelParity Internationally, Energy Intensity of GDP or subsector

Sathaye, Jayant

2010-01-01T23:59:59.000Z

404

Economic reform, energy, and development: the case of Mexican manufacturing  

Science Journals Connector (OSTI)

Given increasing concern over global climate change and national security there is a burgeoning interest in examining the relationship between economic growth and energy use in developed and developing countries. More specifically, decoupling energy use per unit of gross domestic product (GDP) has fast come to be seen as in the interests of national economies and the world as a whole. Recent attention has been paid to the dramatic decreases in the energy intensity of the Chinese economy, which fell by 55% between 1975 and 1995. Do other developing economies follow similar trajectories? This paper examines the energy intensity of the Mexican economy for the period 19881998. Although the long-term trend in Mexican energy intensity is rising, the energy intensity of the Mexican economy began to decline in 1988. This paper explores the factors that have contributed to this reduction. Diminishing Mexican energy use per unit of GDP has been driven by significant decreases in industrial energy intensity. We show that these changes have resulted from changes in the composition of Mexican industrial structure, and technological change.

Francisco Aguayo; Kevin P. Gallagher

2005-01-01T23:59:59.000Z

405

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

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

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

406

Vibration intensity difference thresholds.  

E-Print Network (OSTI)

??The intensity difference threshold is defined as the difference in the intensity of two stimuli which is just sufficient for their difference to be detected. (more)

Forta, Nazim Gizem

2009-01-01T23:59:59.000Z

407

Overview of Federal Energy Management Policy and Mandates  

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

Overview of Federal Energy Management Policy and Mandates Overview of Federal Energy Management Policy and Mandates Energy Intensity Reduction Goal The National Energy Conservation Policy Act (NECPA), as amended, requires Federal agencies to improve energy management in their facilities and operations. (42 U.S.C. 8253) Amendments to NECPA made by the Federal Energy Management Improvement Act of 1988 (P.L. 100-615), required each agency to achieve a 10 percent reduction in energy consumption in its Federal buildings by FY 1995, when measured against a FY 1985 baseline on a Btu-per-gross-square-foot (Btu/GSF) basis. It also directed DOE to establish life-cycle costing methods and coordinate Federal conservation activities through the Interagency Energy Management Task Force. Section 543 of NECPA contained provisions requiring a reduction in Btu/GSF of 20 percent by 2000,

408

Overview of Federal Energy Management Policy and Mandates  

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

Overview of Federal Energy Management Policy and Mandates Overview of Federal Energy Management Policy and Mandates Energy Intensity Reduction Goal The National Energy Conservation Policy Act (NECPA), as amended, requires Federal agencies to improve energy management in their facilities and operations. (42 U.S.C. 8253) Amendments to NECPA made by the Federal Energy Management Improvement Act of 1988 (P.L. 100-615), required each agency to achieve a 10 percent reduction in energy consumption in its Federal buildings by FY 1995, when measured against a FY 1985 baseline on a Btu-per-gross-square-foot (Btu/GSF) basis. It also directed DOE to establish life-cycle costing methods and coordinate Federal conservation activities through the Interagency Energy Management Task Force. Section 543 of NECPA contained provisions requiring a reduction in Btu/GSF of 20 percent by 2000,

409

Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings  

E-Print Network (OSTI)

material intensity, energy intensity of materials, buildingtypes manufacturing energy intensity (how much energy itthe manufacturing energy intensity of each type of building

Fridley, David G.

2008-01-01T23:59:59.000Z

410

Towards a Sustainable Energy Balance: Progressive Efficiency and the Return of Energy Conservation  

E-Print Network (OSTI)

PNNL). 2005. Indicators of Energy Intensity in the Unitedan extensive variable; the energy intensity of the economy,cited most often, site energy intensity (energy per unit of

Harris, Jeffrey; Diamond, Rick; Iyer, Maithili; Payne, Christopher; Blumstein, Carl; Siderius, Hans-Paul

2007-01-01T23:59:59.000Z

411

Neutral particle beam intensity controller  

DOE Patents (OSTI)

The neutral beam intensity controller is based on selected magnetic defocusing of the ion beam prior to neutralization. The defocused portion of the beam is dumped onto a beam dump disposed perpendicular to the beam axis. Selective defocusing is accomplished by means of a magnetic field generator disposed about the neutralizer so that the field is transverse to the beam axis. The magnetic field intensity is varied to provide the selected partial beam defocusing of the ions prior to neutralization. The desired focused neutral beam portion passes along the beam path through a defining aperture in the beam dump, thereby controlling the desired fraction of neutral particles transmitted to a utilization device without altering the kinetic energy level of the desired neutral particle fraction. By proper selection of the magnetic field intensity, virtually zero through 100% intensity control of the neutral beam is achieved.

Dagenhart, W.K.

1984-05-29T23:59:59.000Z

412

Alternative Energy Development and China's Energy Future  

E-Print Network (OSTI)

40 Table 17. Uranium Ore Mining and Milling Energy Intensity45 Table 20. Energy Intensity for Nuclear Fuel Cycleset out to reduce its energy intensity as defined by energy

Zheng, Nina

2012-01-01T23:59:59.000Z

413

Annual Energy Outlook 2006 with Projections to 2030  

Gasoline and Diesel Fuel Update (EIA)

1. 1. Energy use per capita and per dollar of gross domestic product, 1980-2030 (index, 1980 = 1) Population growth is a key determinant of total energy consumption, closely linked to rising demand for housing, services, and travel. Energy consumption per capita, controlling for population growth, shows the combined effect of other factors, such as economic growth and technology improvement. In the AEO- 2006 reference case, energy consumption per capita grows faster than it has in recent history (Figure 31), as a result of continued growth in disposable income. In dollar terms, the economy as a whole is becoming less dependent on energy, the Nation's growing reli- ance on imported fuel notwithstanding. Projected energy intensity, as measured by energy use per 2000 dollar of GDP, declines at an average annual rate of 1.8 percent in the reference case. Efficiency gains and faster growth

414

Intensive Skills Activities CAREERS SERVICE  

E-Print Network (OSTI)

in the state under the cover of night and in broad daylight, perhaps swimming in ship ballast water, tucked and the rest of the world focus more intensely on producing fuels and energy from grasses and other non to subscribe (it's free!), send a note to Futures Editor, 109 Agriculture Hall, Michigan State University, East

Bristol, University of

415

Influence of nanosized semiconducting additives on the properties of energy-storage phase-change materials subjected to a high-intensity electron beam  

Science Journals Connector (OSTI)

The stability of paraffin with a different concentration of copper nanopowder (a particle size of 50 and 100 nm) against a high-intensity nanosecond electron beam is studied experimentally. It is shown that th...

G. G. Savenkov; V. A. Morozov; V. A. Bragin; V. M. Kats; A. A. Lukin

2013-07-01T23:59:59.000Z

416

China Energy and Emissions Paths to 2030  

E-Print Network (OSTI)

World Best Practice Energy Intensity Values for Selected20 Figure 16. Office Buildings Energy Intensity by End-Projected Technology and Energy Intensity Trends in Cement

Fridley, David

2012-01-01T23:59:59.000Z

417

Spatial confinement and thermal deconfinement in the Gross-Neveu model  

SciTech Connect

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

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

2007-06-19T23:59:59.000Z

418

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

E-Print Network (OSTI)

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

Gross, George

419

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

E-Print Network (OSTI)

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

Gray, William

420

South Dakota Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

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

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

New Mexico Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

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

422

West Virginia Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

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

423

Gulf of Mexico Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

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

424

New York Natural Gas Gross Withdrawals and Production  

Gasoline and Diesel Fuel Update (EIA)

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

425

Energy demand simulation for East European countries  

Science Journals Connector (OSTI)

The analysis and created statistical models of energy consumption tendencies in the European Union (EU25), including new countries in transition, are presented. The EU15 market economy countries and countries in transition are classified into six clusters by relative indicators of Gross Domestic Product (GDP/P) and energy demand (W/P) per capita. The specified statistical models of energy intensity W/GDP non-linear stochastic tendencies have been discovered with respect to the clusters of classified countries. The new energy demand simulation models have been developed for the demand management in time??territory hierarchy in various scenarios of short-term and long-term perspective on the basis of comparative analysis methodology. The non-linear statistical models were modified to GDP, W/P and electricity (E/P) final consumption long-term forecasts for new associated East European countries and, as an example, for the Baltic Countries, including Lithuania.

Jonas Algirdas Kugelevicius; Algirdas Kuprys; Jonas Kugelevicius

2007-01-01T23:59:59.000Z

426

China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China  

E-Print Network (OSTI)

World Best Practice Energy Intensity Values for SelectedChinas Target for Energy Intensity Reduction in 2010: Angoal of reducing energy intensity, defined as energy

Price, Lynn

2008-01-01T23:59:59.000Z

427

Gross crack initiation and propagation in brittle thin solid and annular disks subjected to impact loading  

SciTech Connect

This paper derives from a study of grinding wheel break-up behavior due to impact. The impact fracture characteristics of circular disks of plaster of Paris with a concentric central hole were studied experimentally for three types of loading: (a) when the disks were suspended freely and loaded intensely at one point on their circumference by an explosive detonator; (b) when the disks were allowed to fall under gravity from a certain height on to a rigid base; and (c) when a disk, resting on a rigid base, was struck by a flat ended rigid body which was dropped on to it from a certain height. Quasi-static flattening tests on the disks were also carried out. The paper describes a theoretical investigation into the stress analysis of disks under impact, classifies the relevant damage sustained by them and attempts to unify the ''gross'' impact fracture patterns which arise in different modes of dynamic loading. The extent of local flattening of the quasi-statically loaded disks before fracture, is also reported. Good correlation between the theory and experimental results is obtained, especially for rings of diameter ratio (D /SUB i/ /D/sub 0/) of around 0.5.

Johnson, W.; Bai, Y.L.; Ghosh, S.K.

1984-04-01T23:59:59.000Z

428

Summary of Information and Resources Related to Energy Use in Healthcare Facilities - Version 1  

E-Print Network (OSTI)

Figure 3. Estimated site energy intensity and floor space of4. Estimated source energy intensity of selected Californiasite energy and energy intensity (energy use per square foot

Singer, Brett C.

2010-01-01T23:59:59.000Z

429

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

E-Print Network (OSTI)

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

Gross, E.K.U.

430

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

E-Print Network (OSTI)

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

Satija, Indu

431

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

E-Print Network (OSTI)

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

Satija, Indu

432

Quantifying Regional Economic Impacts of CO2 Intensity Targets in China  

E-Print Network (OSTI)

To address rising energy use and CO2 emissions, Chinas leadership has enacted energy and CO2 intensity

Zhang, Da

2012-09-01T23:59:59.000Z

433

Table 3. Gross Domestic Product, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

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

434

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

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

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

435

Annual Energy Review, 1996  

Annual Energy Outlook 2012 (EIA)

Nuclear Electric Power 7.17 Petroleum 0.73 Natural Gas 2.80 Energy Consumed To Generate Electricity 32.13 Electric Utilities Nonutility Power Producers Gross Generation of...

436

Gross Input to Atmospheric Crude Oil Distillation Units  

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

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

437

Note on gross capital formation and R&D expenditure  

Science Journals Connector (OSTI)

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

Mario De Marchi; Maurizio Rocchi

2005-01-01T23:59:59.000Z

438

Other States Total Natural Gas Gross Withdrawals and Production  

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

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

439

Light intensity compressor  

DOE Patents (OSTI)

In a system for recording images having vastly differing light intensities over the face of the image, a light intensity compressor is provided that utilizes the properties of twisted nematic liquid crystals to compress the image intensity. A photoconductor or photodiode material that is responsive to the wavelength of radiation being recorded is placed adjacent a layer of twisted nematic liquid crystal material. An electric potential applied to a pair of electrodes that are disposed outside of the liquid crystal/photoconductor arrangement to provide an electric field in the vicinity of the liquid crystal material. The electrodes are substantially transparent to the form of radiation being recorded. A pair of crossed polarizers are provided on opposite sides of the liquid crystal. The front polarizer linearly polarizes the light, while the back polarizer cooperates with the front polarizer and the liquid crystal material to compress the intensity of a viewed scene. Light incident upon the intensity compressor activates the photoconductor in proportion to the intensity of the light, thereby varying the field applied to the liquid crystal. The increased field causes the liquid crystal to have less of a twisting effect on the incident linearly polarized light, which will cause an increased percentage of the light to be absorbed by the back polarizer. The intensity of an image may be compressed by forming an image on the light intensity compressor.

Rushford, Michael C. (Livermore, CA)

1990-01-01T23:59:59.000Z

440

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

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

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

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

Neutral particle beam intensity controller  

DOE Patents (OSTI)

A neutral beam intensity controller is provided for a neutral beam generator in which a neutral beam is established by accelerating ions from an ion source into a gas neutralizer. An amplitude modulated, rotating magnetic field is applied to the accelerated ion beam in the gas neutralizer to defocus the resultant neutral beam in a controlled manner to achieve intensity control of the neutral beam along the beam axis at constant beam energy. The rotating magnetic field alters the orbits of ions in the gas neutralizer before they are neutralized, thereby controlling the fraction of neutral particles transmitted out of the neutralizer along the central beam axis to a fusion device or the like. The altered path or defocused neutral particles are sprayed onto an actively cooled beam dump disposed perpendicular to the neutral beam axis and having a central open for passage of the focused beam at the central axis of the beamline. Virtually zero therough 100% intensity control is achieved by varying the magnetic field strength without altering the ion source beam intensity or its species yield.

Dagenhart, William K. (Oak Ridge, TN)

1986-01-01T23:59:59.000Z

442

Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million  

Gasoline and Diesel Fuel Update (EIA)

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

443

Effect of adaptation to high light intensity on the kinetics of energy transfer from phycobilisomes to photosystem II in Anabaena cylindrica  

Science Journals Connector (OSTI)

Transfer efficiencies between phycobilisomes and photosystem II antenna chlorophylls were determined on membrane fragments isolated from low and high light adapted Anabaena cells. The observed increase in energy ...

E. Kaiseva; L. Zimnyi; I. Laczk

1988-12-01T23:59:59.000Z

444

The Use of a Multichannel Analyzer to Investigate Effects of Experimental Factors on Gross-Counting Gamma and Neutron Detectors  

SciTech Connect

Radiation detection technology is invaluable to many fields of study in identifying nuclear materials. However, many detectors use gross-counting methods that give only a relative count rate. Without a spectrum (information on counts over time vs energy), it can be more difficult to discern if an alarm is false, innocent, or real. In particular, we would like to understand better the effect of experimental factors (i.e., external conditions and equipment parameters) on detector data, with possible implications for false alarms. To more thoroughly characterize detector technology, a multichannel analyzer (MCA) was used to record spectra from neutron (helium-3 tubes) and gamma (photomultiplier tubes) gross-counting detectors. Several factors could affect the signal-to-noise ratio of sources. For example, we examined the effects of neutron detector high voltage setting on the appearance of a californium-252 spectrum, the effect of discriminator values on integrated counts in neutron detection, and the effect of gain changes on the gamma spectra from several sources. Possible implications of ambient temperature of the experiment on the data collected will be discussed. The input impedance of the MCA must be considered to ensure that data are not affected by the measurement itself. Moreover, a calibration on the MCA was performed to verify the conversion of a MCA channel number to a voltage. In summary, the series of source spectra collected on an MCA with a variety of experimental conditions allow us to understand factors that affect data better, and assure us that gross-counting neutron and gamma detectors will have minimal false alarms.

Volz, Heather M. [Los Alamos National Laboratory; Rennie, John A. [Los Alamos National Laboratory; Lovejoy, Christopher M. [Los Alamos National Laboratory; Martinez, Diana E. R [Los Alamos National Laboratory; Dempsey, Michael A. [Los Alamos National Laboratory; Livesay, Jake [ORNL; Lousteau, Angela [ORNL

2012-07-12T23:59:59.000Z

445

Hospital Energy Benchmarking Guidance - Version 1.0  

E-Print Network (OSTI)

ventilation site energy intensity of California hospitalsSep-2009 Lighting site energy intensity for all Californiafor lighting site energy intensity of California nursing

Singer, Brett C.

2010-01-01T23:59:59.000Z

446

Sectoral trends in global energy use and greenhouse gas emissions  

E-Print Network (OSTI)

A1 scenario forecasts GDP energy intensity to continue toby activity levels and the energy intensity of the specificDemand Activity x Energy Intensity Additional information on

2006-01-01T23:59:59.000Z

447

Energy Use in China: Sectoral Trends and Future Outlook  

E-Print Network (OSTI)

J. , 2001. Changing Energy Intensity in Chinese Industry,M. ,1994. Changing Energy Intensity in Chinese Industry,2006. Indicators of Energy Intensity in the Unites States,

2008-01-01T23:59:59.000Z

448

China's Energy and Carbon Emissions Outlook to 2050  

E-Print Network (OSTI)

11 Figure 9 Retail Buildings Energy Intensity by End-12 Figure 10 Office Buildings Energy Intensity by End-Energy Intensity

Zhou, Nan

2011-01-01T23:59:59.000Z

449

Projections of Full-Fuel-Cycle Energy and Emissions Metrics  

E-Print Network (OSTI)

function of the FFC energy intensity parameters. The FFCand c as the energy intensity of fuel production, defined asrepresenting the energy intensity and material losses at

Coughlin, Katie

2013-01-01T23:59:59.000Z

450

Drivers of Future Energy Demand  

Gasoline and Diesel Fuel Update (EIA)

trends - Household income migration urbanization * Policy: China Energy Outlook - Air pollution - Climate change 4 (1) Industrial energy intensity: The energy intensity of...

451

China Energy and Emissions Paths to 2030  

E-Print Network (OSTI)

world best practice energy intensity (weighted by current productionworlds best practice energy intensity in all major industrial productionenergy intensity for ammonia production lags behind the world

Fridley, David

2012-01-01T23:59:59.000Z

452

Neutrino physics with an intense \  

E-Print Network (OSTI)

We study some of the physics potential of an intense $1\\,\\mathrm{MCi}$ $^{51}\\mathrm{Cr}$ source combined with the {\\sc Majorana Demonstrator} enriched germanium detector array. The {\\sc Demonstrator} will consist of detectors with ultra-low radioactive backgrounds and extremely low energy thresholds of~$\\sim 400\\,\\mathrm{eV}$. We show that it can improve the current limit on the neutrino magnetic dipole moment. We briefly discuss physics applications of the charged-current reaction of the $^{51}\\mathrm{Cr} neutrino with the $^{73}\\mathrm{Ge} isotope. Finally, we argue that the rate from a realistic, intense tritium source is below the detectable limit of even a tonne-scale HPGe experiment

R. Henning

2010-11-16T23:59:59.000Z

453

The Intense Radiation Gas  

E-Print Network (OSTI)

We present a new dispersion relation for photons that are nonlinearly interacting with a radiation gas of arbitrary intensity due to photon-photon scattering. It is found that the photon phase velocity decreases with increasing radiation intensity, it and attains a minimum value in the limit of super-intense fields. By using Hamilton's ray equations, a self-consistent kinetic theory for interacting photons is formulated. The interaction between an electromagnetic pulse and the radiation gas is shown to produce pulse self-compression and nonlinear saturation. Implications of our new results are discussed.

M. Marklund; P. K. Shukla; B. Eliasson

2005-03-08T23:59:59.000Z

454

Energy Audit Practices in China: National and Local Experiences and Issues  

E-Print Network (OSTI)

and Evaluation of Energy Intensity per GDP Indicators (???and Evaluation of Energy Intensity Reduction and Pollutionto improve its energy intensity. In China, industrial energy

Shen, Bo

2011-01-01T23:59:59.000Z

455

The Reality and Future Scenarios of Commercial Building Energy Consumption in China  

E-Print Network (OSTI)

for a reduction of energy intensity by 2010, whether and howbuildings; (3) energy intensity (particularly electricity)commercial building, energy intensity, energy efficiency,

Zhou, Nan

2008-01-01T23:59:59.000Z

456

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

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

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

457

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

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

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

458

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

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

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

459

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

Science Journals Connector (OSTI)

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

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

2003-01-01T23:59:59.000Z

460

Efficiency and Intensity in the AEO 2010  

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

Session 9 Session 9 Energy Efficiency: Measuring Gains and Quantifying Opportunities April 7, 2010 2010 Energy Conference Washington, DC Steve Wade, Economist Efficiency and Intensity in the AEO 2010 Steve Wade, 2010 Energy Conference, April 7, 2010 2 * What are the sources of efficiency in the AEO 2010? * What is the contribution of energy efficiency to projected U.S. energy intensity? * How do AEO scenarios relate to technical potential? Overview Steve Wade, 2010 Energy Conference, April 7, 2010 3 * Technology - Stock turnover - Progress and learning * Mandates - CAFÉ, efficiency standards (NAECA, EPACT), building codes... - Renewable fuel standards * Incentives - Tax credits, loan guarantees, grants, ...  Energy efficiency and renewables - ACESA, ARRA (stimulus bill) ...  Investment tax credits

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

Analysis of historical gross gamma logging data from BY tank farm  

SciTech Connect

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

MYERS, D.A.

1999-10-13T23:59:59.000Z

462

Analysis of historical gross gamma logging data from BX tank farm  

SciTech Connect

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

MYERS, D.A.

1999-10-12T23:59:59.000Z

463

Productivity & Energy Flow  

E-Print Network (OSTI)

1 Productivity & Energy Flow Ecosystem approach, focuses: on flow of energy, water, and nutrients (capture) of energy by autotrophs Gross (total) Net (total ­ costs) Secondary productivity- capture of energy by herbivores http://sciencebitz.com/?page_id=204 What Controls the Primary Productivity

Mitchell, Randall J.

464

Energy Analysis by Sector | Department of Energy  

Office of Environmental Management (EM)

Energy Analysis by Sector Energy Analysis by Sector Manufacturers often rely on energy-intensive technologies and processes. AMO conducts a range of analyses to explore energy use...

465

A high-intensity, pulsed supersonii:, carbon source aivith C("Pi> kinetic energies of 0.08-0.7 eV for crossed beam experiments  

E-Print Network (OSTI)

. INTRODUCTION Chemical reactions of ground state atomic carbon C(3Pj) play a major role in combustion processes,`-3 hydrocarbon syntheses,lm3 and interstellar chemistry."-* However, pre- dominantly energy sources.2*14**5 Heating of (1) and (2) releases nitrogen, hydrogen chloride, and atomic carbon (1

Kaiser, Ralf I.

466

Learning to Apply Metrology Principles to the Measurement of X-ray Intensities in the 500 eV to 110 keV Energy Range  

SciTech Connect

National Security Technologies, LLC (NSTec), Livermore Operations, has two optical radiation calibration laboratories accredited by the National Voluntary Laboratories Accreditation Program (NVLAP) which is the accrediting body of the National Institute of Standards and Technology (NIST), and is now working towards accreditation for its X-ray laboratories. NSTec operates several laboratories with X-ray sources that generate X-rays in the energy range from 50 eV to 115 keV. These X-ray sources are used to characterize and calibrate diagnostics and diagnostic components used by the various national laboratories, particularly for plasma analysis on the Lawrence Livermore National Laboratory (LLNL) National Ignition Facility (NIF). Because X-ray photon flux measurement methods that can be accredited, i.e., traceable to NIST, have not been developed for sources operating in these energy ranges, NSTec, NIST, and the National Voluntary Accreditation Program (NVLAP) together have defined a path toward the development and validation of accredited metrology methods for X-ray energies. The methodology developed for the high energy X-ray (HEX) Laboratory was NSTecs starting point for X-ray metrology accreditation and will be the basis for the accredited processes in the other X-ray laboratories. This paper will serve as a teaching tool, by way of this example using the NSTec X-ray sources, for the process and methods used in developing an accredited traceable metrology.

Haugh, M. J.; Pond, T.; Silbernagel, C.; Torres, P.; Marlett, K.; Goldin, F.; Cyr, S.

2011-02-08T23:59:59.000Z

467

Le Bail Intensity Extraction  

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

Le Bail Intensity Extraction Le Bail Intensity Extraction Presentation Goal Introduce the concepts behind LeBail fitting; why it is useful and how to perform a Le Bail fit with GSAS. Format: PDF slides or a RealPlayer video of the slides with accompanying audio and a demo video that shows how a Le Bail fit is performed. Presentation Outline What is the Le Bail method? Other approaches Why use the Le Bail method? Parameter fitting with Le Bail intensity extraction Le Bail refinement strategies Avoiding problems with background fitting: BKGEDIT Demo: an example Le Bail fit Links Le Bail lecture Slides (as PDF file) FlashMovie presentation with index (best viewed with 1024x768 or better screen resolution) FlashMovie file (800x600 pixels) Le Bail demo FlashMovie presentation with index (best viewed with 1024x768 or

468

Policy Options for Encouraging Energy Efficiency Best Practices in Shandong Province's Cement Industry  

E-Print Network (OSTI)

12 Figure 7 Total energy consumption and energy intensity ofonly data on total energy consumption or energy intensitytce) Figure 7 Total energy consumption and energy intensity

Price, Lynn

2013-01-01T23:59:59.000Z

469

California's Water Energy Relationship  

E-Print Network (OSTI)

.........................................................................................................................7 THE ENERGY INTENSITY OF THE WATER USE CYCLE.........................................................................................9 ENERGY INTENSITY IN NORTHERN AND SOUTHERN CALIFORNIA1 CALIFORNIA ENERGY COMMISSION California's Water ­ Energy Relationship Prepared in Support

470

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

Science Journals Connector (OSTI)

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

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

2004-01-01T23:59:59.000Z

471

E-Print Network 3.0 - applied high energy Sample Search Results  

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

with high ener- gy efficiency. This is highly relevant to buildings... ), and gross energy consumption in buildings ... Source: Ris National Laboratory Collection:...

472

Ontarios Protocols for Evaluating the Energy and Bill Savings from Industrial Energy Efficiency Programs  

E-Print Network (OSTI)

. This paper focuses on how the protocols will help provide more transparent information to building owners about the net savings achieved by a particular energy efficiency investment and reviews the best methods available to estimate both gross and net energy...

Messenger, M.

2007-01-01T23:59:59.000Z

473

U.S. Energy Information Administration | Annual Energy Outlook Retrospective Review  

Gasoline and Diesel Fuel Update (EIA)

Retrospective Review Retrospective Review 4 Annual Energy Outlook Retrospective Review Table 1. Comparison of absolute percent difference between AEO reference case projections and related outcomes Variable All AEOs (AEO82 to AEO2010) NEMS AEOs (AEO94 to AEO2010) Gross Domestic Product Real Gross Domestic Product (Growth Rate)* 0.8 0.9 Petroleum World Oil Prices 49.9 31.4 Total Petroleum Consumption 4.1 4.3 Crude Oil Production 5.8 6.4 Petroleum Net Imports 6.0 7.3 Natural Gas Natural Gas Wellhead Prices 56.6 31.9 Total Natural Gas Consumption 7.3 7.4 Natural Gas Production 6.2 6.9 Natural Gas Net Imports 17.9 17.1 Coal Coal Prices to Electric Generating Plants** 43.1 19.5 Total Coal Consumption 4.9 6.0 Coal Production 4.8 4.5 Electricity Average Electricity Prices 19.7 12.0 Total Electricity Sales 3.0 3.8 Total Energy, Carbon and Intensity

474

Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption  

Buildings Energy Data Book (EERE)

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

475

How Can China Lighten Up? Urbanization, Industrialization and Energy Demand Scenarios  

E-Print Network (OSTI)

2007. 27 3.2.3 Energy Intensity and Fuel Mix As a result ofEnergy Intensity and Fuel Mix Energy Intensity and Fuel Mix

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

476

Potential Energy Savings and CO2 Emissions Reduction of China's Cement Industry  

E-Print Network (OSTI)

World Best Practice Energy Intensity Values for Selectedworld-best-practice-energy-intensity-values-selected-One main reason for the energy intensity reduction in recent

Ke, Jing

2013-01-01T23:59:59.000Z

477

Electronic energy-level structure, correlation crystal-field effects, and f-f transition intensities of Er{sup 3+} in Cs{sub 3}Lu{sub 2}Cl{sub 9}  

SciTech Connect

Single crystals of 1{percent} Er{sup 3+}-doped Cs{sub 3}Lu{sub 2}Cl{sub 9} were grown using the Bridgman technique. From highly resolved polarized absorption spectra measured at 10 and 16 K, and upconversion luminescence and excitation spectra measured at 4.2 K, 114 crystal-field levels from 27 {sup 2S+1}L{sub J}(4f{sup 11}) multiplets of Er{sup 3+} were assigned. 111 of these were used for a semiempirical computational analysis. A Hamiltonian including only electrostatic, spin-orbit, and one-particle crystal-field interactions (C{sub 3v}) yielded a root-mean-square standard deviation of 159.8thinspcm{sup {minus}1} and could not adequately reproduce the experimental crystal-field energies. The additional inclusion of two- and three-body atomic interactions, giving a Hamiltonian with 16 atomic and 6 crystal-field parameters, greatly reduced the rms standard deviation to 22.75thinspcm{sup {minus}1}. The further inclusion of the correlation crystal-field interaction {cflx g}{sub 10A}{sup 4} again lowered the rms standard deviation to a final value of 17.98thinspcm{sup {minus}1} and provided substantial improvement in the calculated crystal-field splittings of mainly the J=9/2 or J=11/2 multiplets. However, the calculated baricenter energies of some excited-state multiplets deviate from their respective experimental values, and improvements in the atomic part of the effective Hamiltonian are required to correct this deficiency of the model. On the basis of the calculated electronic wave functions, the 12 electric-dipole intensity parameters (C{sub 3v}) of the total transition dipole strength were obtained from a fit to 95 experimental crystal-field transition intensities. The overall agreement between experimental and calculated intensities is fair. The discrepancies are most likely a result of using the approximate C{sub 3v} rather than the actual C{sub 3} point symmetry of Er{sup 3+} in Cs{sub 3}Lu{sub 2}Cl{sub 9} in the calculations. {copyright} {ital 1998} {ital The American Physical Society}

Luethi, S.R.; Guedel, H.U. [Departement fuer Chemie und Biochemie, Universitaet Bern, Freiestrasse 3, CH-3000 Bern 9 (Switzerland)] [Departement fuer Chemie und Biochemie, Universitaet Bern, Freiestrasse 3, CH-3000 Bern 9 (Switzerland); Hehlen, M.P. [Optical Sciences Laboratory, The University of Michigan, 1301 Beal Avenue, Ann Arbor, Michigan 48109-2122 (United States)] [Optical Sciences Laboratory, The University of Michigan, 1301 Beal Avenue, Ann Arbor, Michigan 48109-2122 (United States); Quagliano, J.R. [Chemical Science and Technology Division, Los Alamos National Laboratory, Mail stop E543, Los Alamos, New Mexico 87545 (United States)] [Chemical Science and Technology Division, Los Alamos National Laboratory, Mail stop E543, Los Alamos, New Mexico 87545 (United States)

1998-06-01T23:59:59.000Z

478

The intensity of motivation  

E-Print Network (OSTI)

rearranged before they were repeated in reverse sequence. Electrocardiographic T-wave amplitude (TWA) and changes were monitored during a 15-sec anticipatory phase, as well as during each 15-second mental manipulation phase. (This ensured that the measures..., and the subject was surreptitiously observed. The high-self-esteem subjects were observed to do more practice www.annualreviews.org/aronline Annual Reviews INTENSITY OF MOTIVATION 121 problems for the difficult- than for the easy-to-please experimenter...

Brehm, Jack W.; Self, E. A.

1989-01-01T23:59:59.000Z

479

Future High-Intensity Proton Accelerators  

E-Print Network (OSTI)

This paper provides an overview of currently planned high-intensity proton accelerators. While for high energies (>10GeV) synchrotrons remain the preferred tools to produce high-intensity beams, recent years have seen an impressive development of linac-based lower-energy (intensity proton drivers for spallation sources, accelerator driven systems (ADS), production of Radioactive Ion Beams (RIB) and various neutrino applications (beta-beam, superbeam, neutrino factory). This paper discusses the optimum machine types for the various beam requirements and uses a range of projects, which are likely to be realised within the coming decade, to illustrate the different approaches to reach high average beam power with the application-specific time structure. Only machines with a beam power above 100kW are considered.

Gerigk, F

2007-01-01T23:59:59.000Z

480

Energy Performance Indicator | Department of Energy  

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

managers establish a normalized baseline of energy consumption, track annual progress of intensity improvements, energy savings, Superior Energy Performance (SEP) EnPIs, and other...

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

Methodology and Analysis Monthly Natural Gas Gross Production Report  

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

Methodology and Analysis Methodology and Analysis Methodology and Analysis 1 Methodology: Description of the sampling and estimating methodologies implemented in April 2010 PDF 2 Review Results: Description of the problem and the alternative methodologies tested PDF 3 2009 Revisions: A comparison of the current methodology estimates to the previous estimates PDF 4 ICF International Review: ICF International's review paper given to the American Statistical Association Committee on Energy Statistics PDF 5 Other Sources: EIA-914 Estimates Compared with Other sources PDF 6 Issues: EIA-914 Sample and Model Issues PDF 7 Data Analysis: EIA-914 Final Clearance Package October 2006 PDF 8 Revision Policy: EIA-914 and Natural Gas Monthly Revision Policy March 2007 PDF 9 Commercial Data Sources:

482

Monthly energy review, March 1994  

SciTech Connect

The Monthly Energy Review provides information on production, distribution, consumption, prices, imports, and exports for the following US energy sources: petroleum; petroleum products; natural gas; coal; electricity; and nuclear energy. The section on international energy contains data for world crude oil production and consumption, petroleum stocks in OECD countries, and nuclear electricity gross generation.

Not Available

1994-03-29T23:59:59.000Z

483

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

Gasoline and Diesel Fuel Update (EIA)

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

484

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

Gasoline and Diesel Fuel Update (EIA)

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

485

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

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

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

486

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

E-Print Network (OSTI)

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

Gross, E.K.U.

487

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

E-Print Network (OSTI)

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

Gross, E.K.U.

488

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

E-Print Network (OSTI)

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

Wu, Zhigang

489

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

E-Print Network (OSTI)

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

Gross, Louis J.

490

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

E-Print Network (OSTI)

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

Slatton, Clint

491

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

E-Print Network (OSTI)

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

Slatton, Clint

492

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

E-Print Network (OSTI)

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

Slatton, Clint

493

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

E-Print Network (OSTI)

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

Stanley, H. Eugene

494

Flow pattern and hydraulic performance of the REDAC Gross Pollutant Trap  

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

495

EIA - Annual Energy Outlook 2011 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Energy Prices Energy Consumption by Sector Energy Consumption by Primary Fuel Energy Intensity Energy Production and Imports Electricity Generation Energy-Related Carbon Dioxide...

496

China Energy and Emissions Paths to 2030  

E-Print Network (OSTI)

63 Figure 59. Carbon Intensity of Power Generation,economic energy and carbon intensity by setting short andproduction) and carbon intensity (CO 2 emissions per unit of

Fridley, David

2012-01-01T23:59:59.000Z

497

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

E-Print Network (OSTI)

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

Bertsch George F.

498

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

E-Print Network (OSTI)

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

Satija, Indu

499

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

E-Print Network (OSTI)

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

Shewchuk, Jonathan

500

cctbx news: Phil and friends Ralf W. Grosse-Kunstleve, Pavel V. Afonine, Nicholas K. Sauter and Paul D. Adams,  

E-Print Network (OSTI)

-source component of the Phenix project (http://www.phenix-online.org/). Currently much energy is devoted as we add more features in the future. In previous issues of this newsletter we have described of algorithmic parameters. phenix.refine is written in Python (with C++ extensions for numerically intensive

Grosse-Kunstleve, Ralf