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Note: This page contains sample records for the topic "term 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.


1

Energy Intensity Strategy  

E-Print Network [OSTI]

Our presentation will cover how we began the journey of conserving energy at our facility. We’ll discuss a basic layout of our energy intensity plan and the impact our team has had on the process, what tools we’re using, what goals have been...

Rappolee, D.; Shaw, J.

2008-01-01T23:59:59.000Z

2

Energy Intensity of Agriculture and Food Systems  

E-Print Network [OSTI]

dependencies in the light of energy price volatility and concerns as to long-term fossil energy availabilities ENERGY USE. . . . . . . . . . 232 6. FOOD WASTE AND ENERGY USE. . . . . . . . . . . . . Energy Intensity of Agriculture and Food Systems Nathan Pelletier,1 Eric Audsley,2 Sonja Brodt,3

Wang, Changlu

3

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...

4

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...

5

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...

6

Energy Intensity Baselining and Tracking Guidance  

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

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

7

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: 1992- 2003 Released Date: December 2004 Page Last Revised: August 2009 These tables...

8

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 China’s 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

9

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

10

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

11

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

12

ITP Energy Intensive Processes: Energy-Intensive Processes Portfolio:  

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

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

13

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

14

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

15

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

16

Short-Term Energy Outlook  

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

Chart Gallery for April 2015 Short-Term Energy Outlook U.S. Energy Information Administration Independent Statistics & Analysis 0 20 40 60 80 100 120 140 160 180 200 220 Jan 2014...

17

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

18

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

19

EIA Energy Efficiency-Residential Sector Energy Intensities,...  

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

8c) html table 8c excel table 8c excel table 8c For questions about the "Residential Energy Intensity Tables," please contact: Behjat Hojjati Program Manager...

20

Reducing Industrial Energy Intensity in the Southeast Project...  

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

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...

Note: This page contains sample records for the topic "term 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

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

22

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

23

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

24

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

day Forecast -1.0 2012 2013 2014 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC Source: Short-Term Energy Outlook, November 2013 -1 0...

25

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

26

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

27

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

28

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy33

29

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

30

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

31

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

32

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term

33

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term(STEO)

34

Renewable Energy Specifications, Testing and Certification Terms...  

Open Energy Info (EERE)

Terms of Reference Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy Specifications, Testing and Certification Terms of Reference Agency...

35

Energy resource management for energy-intensive manufacturing industries  

SciTech Connect (OSTI)

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

36

Physics of intense, high energy radiation effects.  

SciTech Connect (OSTI)

This document summarizes the work done in our three-year LDRD project titled 'Physics of Intense, High Energy Radiation Effects.' This LDRD is focused on electrical effects of ionizing radiation at high dose-rates. One major thrust throughout the project has been the radiation-induced conductivity (RIC) produced by the ionizing radiation. Another important consideration has been the electrical effect of dose-enhanced radiation. This transient effect can produce an electromagnetic pulse (EMP). The unifying theme of the project has been the dielectric function. This quantity contains much of the physics covered in this project. For example, the work on transient electrical effects in radiation-induced conductivity (RIC) has been a key focus for the work on the EMP effects. This physics in contained in the dielectric function, which can also be expressed as a conductivity. The transient defects created during a radiation event are also contained, in principle. The energy loss lead the hot electrons and holes is given by the stopping power of ionizing radiation. This information is given by the inverse dielectric function. Finally, the short time atomistic phenomena caused by ionizing radiation can also be considered to be contained within the dielectric function. During the LDRD, meetings about the work were held every week. These discussions involved theorists, experimentalists and engineers. These discussions branched out into the work done in other projects. For example, the work on EMP effects had influence on another project focused on such phenomena in gases. Furthermore, the physics of radiation detectors and radiation dosimeters was often discussed, and these discussions had impact on related projects. Some LDRD-related documents are now stored on a sharepoint site (https://sharepoint.sandia.gov/sites/LDRD-REMS/default.aspx). In the remainder of this document the work is described in catergories but there is much overlap between the atomistic calculations, the continuum calculations and the experiments.

Hjalmarson, Harold Paul; Hartman, E. Frederick; Magyar, Rudolph J.; Crozier, Paul Stewart

2011-02-01T23:59:59.000Z

37

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

38

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

39

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

40

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

SciTech Connect (OSTI)

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

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

2000-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

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

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

Improved Heat Recovery in Biomass-Fired Boilers ITP Energy Intensive Processes: Improved Heat Recovery in Biomass-Fired Boilers biomass-firedboilers.pdf More Documents &...

42

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....

43

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

E-Print Network [OSTI]

patterns in household energy intensities. We define sprawl in terms of location in rural areas or in areasAnalysis A multivariate analysis of the energy intensity of sprawl versus compact living in the U of Illinois at Urbana-Champaign, 1101 W Peabody Dr, Urbana, IL 61801, United States d Smart Energy Design

Vermont, University of

44

Energy Intensity Trends in AEO2010 (released in AEO2010)  

Reports and Publications (EIA)

Energy intensity (energy consumption per dollar of real GDP) indicates how much energy a country uses to produce its goods and services. From the early 1950s to the early 1970s, U.S. total primary energy consumption and real GDP increased at nearly the same annual rate. 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% per year from 1973 to 2008. In the Annual Energy Outlook 2010 Reference case, energy intensity continues to decline, at an average annual rate of 1.9% from 2008 to 2035.

2010-01-01T23:59:59.000Z

45

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

46

Short-Term Energy Outlook September 2013  

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

September 2013 1 September 2013 Short-Term Energy Outlook (STEO) Highlights Monthly average crude oil prices increased for the fourth consecutive month in August 2013, as...

47

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 China’s 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

48

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

49

A new acoustic three dimensional intensity and energy density probe  

E-Print Network [OSTI]

A new acoustic three dimensional intensity and energy density probe F. Aymea , C. Carioub , M is a great advantage. In this frame, a new intensity acoustic probe has been developed to compute acoustic quantities which can be input data for energetic identification methods. 1 Introduction Noise matters

Boyer, Edmond

50

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

51

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

52

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

53

Loan Terms | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe10IO1OP001 LetterLight-Duty11.2.1310 DOEFunds WebinarsTerms

54

Energy Intensity Baselining and Tracking Guidance | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing Zirconia Nanoparticles asSecondCareerFebruary 2005 1 Short-TermTechnical

55

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

56

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

Broader source: Energy.gov [DOE]

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

57

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1

58

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights

59

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights 1

60

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights

Note: This page contains sample records for the topic "term 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

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)

62

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)

63

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)June

64

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)June

65

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3

66

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October 2014

67

Term Appointments | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from theDepartment of Energy TechnicalFlow Room AirNEPA ReviewDepartment

68

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

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

69

Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

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

70

Methodology of Energy Intensities - Appendix A  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 6330 0 14343Decade81Feet) Vehicle3 10YearAppendix

71

Changes in Energy Intensity 1985-1991  

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

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72

Description of Energy Intensity Tables (12)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42YearDelaware

73

Energy Intensity Baselining and Tracking Guidance  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -Department oftoThese Web sitesEERE Technologies for(April 2012)Learn

74

Table 22. Energy Intensity, Projected vs. Actual  

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

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

75

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

Reports and Publications (EIA)

For the industrial sector, the Energy Information Administration's (EIA) analysis and projection efforts generally have focused on the energy-intensive industriesfood, bulk chemicals, refining, glass, cement, steel, and aluminumwhere energy cost averages 4.8% of annual operating cost. Detailed process flows and energy intensity indicators have been developed for narrowly defined industry groups in the energy-intensive manufacturing sector. The non-energy-intensive manufacturing industries, where energy cost averages 1.9% of annual operating cost, previously have received somewhat less attention, however. In Annual Energy Outlook 2006 (AEO), energy demand projections were provided for two broadly aggregated industry groups in the non-energy-intensive manufacturing sector: metal-based durables and other non-energy-intensive. In the AEO2006 projections, the two groups accounted for more than 50% of the projected increase in industrial natural gas consumption from 2004 to 2030.

2007-01-01T23:59:59.000Z

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

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

78

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

79

ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions  

E-Print Network [OSTI]

ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions Pascal Boeckx negative to positive. We studied the short-term effect of tillage intensity on N2O and CO2 emissions. We site, an intermediately aerated Luvisol in Belgium, were similar. Nitrous oxide and CO2 emissions were

Paris-Sud XI, Université de

80

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

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


81

Energy 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

82

Glossary of Terms | Department of Energy  

Office of Environmental Management (EM)

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83

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

SciTech Connect (OSTI)

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

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

2011-06-15T23:59:59.000Z

84

Short-term energy outlook, January 1999  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares the Short-Term Energy Outlook (energy supply, demand, and price projections) monthly. The forecast period for this issue of the Outlook extends from January 1999 through December 2000. Data values for the fourth quarter 1998, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the January 1999 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 28 figs., 19 tabs.

NONE

1999-01-01T23:59:59.000Z

85

Short-term energy outlook quarterly projections. Third quarter 1997  

SciTech Connect (OSTI)

This document presents the 1997 third quarter short term energy projections. Information is presented for fossil fuels and renewable energy.

NONE

1997-07-01T23:59:59.000Z

86

Short Term Energy Outlook, February 2003  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy

87

Short Term Energy Outlook, January 2003  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy3

88

Short Term Energy Outlook, March 2003  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy33

89

Short-term energy outlook, July 1998  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from July 1998 through December 1999. Values for second quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the July 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. 28 figs., 19 tabs.

NONE

1998-07-01T23:59:59.000Z

90

Table 22. Energy Intensity, Projected vs. Actual Projected  

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

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

91

China-Energy Intensity Reduction Strategy | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarreisVolcanic National Park |Chile: EnergyOpen

92

Energy-Intensive Processes Portfolio: Addressing Key Energy Challenges  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusinessinSupporting JobsClean EnergyAcross U.S. Industry |

93

Optical Fiber High Temperature Sensor Instrumentation for Energy Intensive Industries  

SciTech Connect (OSTI)

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

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

2006-11-14T23:59:59.000Z

94

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

SciTech Connect (OSTI)

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

95

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

96

Short-Term Energy Outlook- May 2003  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer3 1 Short-Term

97

Property:Incentive/Terms | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County,ContAddr2 Jump to: navigation,PVYears Jump to:TechDsc Jump to:Terms

98

Table 6. Energy intensity by State (2000-2011  

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

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

99

Sample Residential Program Term Sheet | Department of Energy  

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

Sample Residential Program Term Sheet Sample Residential Program Term Sheet A sample for defining and elaborating on the specifics of a clean energy loan program. Sample...

100

Short-term energy outlook quarterly projections. First quarter 1994  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short- term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets.

Not Available

1994-02-07T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

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

102

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

103

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

104

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.

105

Short-term energy outlook, April 1999  

SciTech Connect (OSTI)

The forecast period for this issue of the Outlook extends from April 1999 through December 2000. Data values for the first quarter 1999, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the April 1999 version of the Short-Term Integrated forecasting system (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 25 figs., 19 tabs.

NONE

1999-04-01T23:59:59.000Z

106

Energy Exchange Terms and Conditions | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusinessin Jamaica, N.Y.EnergyDepartment ofSchedule EnergyTerms

107

Effect of Long-term Lime and Potassium Applications on Quantity-Intensity (Q/I) Relationships in Sandy Soil1  

E-Print Network [OSTI]

IN SANDY SOIL 787 may be presented as a measure of the free energy of exchange of K in the soil by Ca in Sandy Soil1 D. L. SPARKS AND W. C. LiEBHARDT2 ABSTRACT The effects of long-term lime and K applications on quan- tity-intensity (Q/I) relationships were investigated on the Ap and B21t horizons of a Kalmia soil

Sparks, Donald L.

108

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

109

HIGH INTENSITY LOW-ENERGY POSITRON SOURCE AT JEFFERSON  

SciTech Connect (OSTI)

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

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

111

Negative kinetic energy term of general relativity and its removing  

E-Print Network [OSTI]

We first present a new Lagrangian of general relativity, which can be divided into kinetic energy term and potential energy term. Taking advantage of vierbein formalism, we reduce the kinetic energy term to a sum of five positive terms and one negative term. Some gauge conditions removing the negative kinetic energy term are discussed. Finally, we present a Lagrangian that only include positive kinetic energy terms. To remove the negative kinetic energy term leads to a new field equation of general relativity in which there are at least five equations of constraint and at most five dynamical equations, this characteristic is different from the normal Einstein field equation in which there are four equations of constraint and six dynamical equations.

T. Mei

2009-03-30T23:59:59.000Z

112

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

113

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

114

Short-term energy outlook annual supplement, 1993  

SciTech Connect (OSTI)

The Short-Term Energy Outlook Annual Supplement (supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

NONE

1993-08-06T23:59:59.000Z

115

Short-term energy outlook, annual supplement 1994  

SciTech Connect (OSTI)

The Short-Term Energy Outlook Annual Supplement (Supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

Not Available

1994-08-01T23:59:59.000Z

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 Iran’s 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

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

E-Print Network [OSTI]

-intensive industries. 2) energy saving mainly comes from efficiency improvement, with energy-intensive sectors making takes up about 70 percent of the total energy consumption. Per capita oil, natural gas and coal deposits demand in industrial sectors is mainly attributed to expansion of production scale, especially in energy

Edwards, Paul N.

118

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

Broader source: Energy.gov [DOE]

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

119

Short-term energy outlook. Quarterly projections, Third quarter 1994  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202). The feature article for this issue is Demand, Supply and Price Outlook for Reformulated Gasoline, 1995.

Not Available

1994-08-02T23:59:59.000Z

120

Extreme rainfall intensities and long-term rainfall risk from tropical cyclones  

E-Print Network [OSTI]

We develop a methodology for the frequency of extreme rainfall intensities caused by tropical cyclones (TCs) in coastal areas. The mean rainfall field associated with a TC with maximum tangential wind speed Vmax, radius ...

Langousis, Andreas, 1981-

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

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.

122

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

123

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

E-Print Network [OSTI]

in U.S. Energy and Carbon Intensity W. Bart Davis a, b, * ,declines in energy and carbon intensity in the U.S. remainsexplain the declines in carbon intensity. The fuel mix, both

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

2002-01-01T23:59:59.000Z

124

Reducing Industrial Energy Intensity in the Southeast Project Fact Sheet  

Broader source: Energy.gov [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.

125

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

126

Glossary of Terms | Department of Energy  

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

(6) implementing mass commuting and related facilities that reduce energy consumption and pollution; (7) designingrunning demonstration projects designed to promote the...

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

Original article Energy balance storage terms and big-leaf  

E-Print Network [OSTI]

), biomass heat storage (Sv) and photosynthetic energy storage (Sp). Soil heat storage Sg can be furtherOriginal article Energy balance storage terms and big-leaf evapotranspiration in a mixed deciduous not be omitted. On a seasonal basis soil heat storage seems to be the most important term. The overall heat

Boyer, Edmond

129

Alternative Dispute Resolution Terms | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South42.2 (April 2012) 1 Documentation and Approval InspectionDepartment

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

Short-term energy outlook. Quarterly projections, Third quarter 1995  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the third quarter of 1995 through the fourth quarter of 1996. Values for the second quarter of 1995, however, are preliminary EIA estimates.

NONE

1995-08-02T23:59:59.000Z

134

Generation and transport of a low energy intense ion beam  

E-Print Network [OSTI]

and J. K. Walters Tri Alpha Energy Inc. , Foothill Ranch,supported by UCI and Tri Alpha Energy, Inc. R. N. Sudan and

2004-01-01T23:59:59.000Z

135

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

136

Lighting Principles and Terms | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe10IO1OP001 LetterLight-Duty Lean GDIPrinciples and Terms

137

Long Term Innovative Technologies | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe10IO1OP001 LetterLight-Duty11.2.1310employeeLong Term

138

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

E-Print Network [OSTI]

practice equals 100. Carbon intensity trends are closelyby calculating a carbon intensity index, which compares theThe best practice benchmark carbon intensity for each of the

Price, Lynn; Worrell, Ernst; Phylipsen, Dian

1999-01-01T23:59:59.000Z

139

Complete radiative terms for the electron/electronic energy equation  

SciTech Connect (OSTI)

A derivation of the radiative terms in the electron/electronic energy equation is presented, properly accounting for the effects of absorption and emission of radiation on the individual energy modes of the gas. This electron/electronic energy equation with the complete radiative terms has successfully been used to model the radiation-dominated precursor ahead of the bow shock of a hypersonic vehicle entering the Earth`s atmosphere. 8 refs.

Stanley, S.A.; Carlson, L.A. [Univ of California, San Diego, CA (United States)

1994-10-01T23:59:59.000Z

140

Management and Conservation Short-Term Impacts of Wind Energy  

E-Print Network [OSTI]

Management and Conservation Short-Term Impacts of Wind Energy Development on Greater Sage associated with wind energy development on greater sage-grouse populations. We hypothesized that greater sage-grouse nest, brood, and adult survival would decrease with increasing proximity to wind energy infrastructure

Beck, Jeffrey L.

Note: This page contains sample records for the topic "term 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

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks  

E-Print Network [OSTI]

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu an advantage for output power prediction. Solar Energy Prediction System Our prediction model is based variability of more then 100 kW per minute. For practical usage of solar energy, predicting times of high

Cerpa, Alberto E.

142

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

143

August 2012 Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA (Barrels per

144

September 2012 Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

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

145

Short Term Energy Outlook ,November 2002  

Gasoline and Diesel Fuel Update (EIA)

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

146

Short Term Energy Outlook ,October 2002  

Gasoline and Diesel Fuel Update (EIA)

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

147

Short Term Energy Outlook, December 2002  

Gasoline and Diesel Fuel Update (EIA)

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

148

Short-Term Energy Outlook April 2014  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels

149

Short-Term Energy Outlook February 2014  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels4 1

150

Short-Term Energy Outlook January 2014  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels4

151

Short-Term Energy Outlook July 2013  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels41

152

Short-Term Energy Outlook June 2013  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels411

153

Short-Term Energy Outlook March 2014  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer

154

Short-Term Energy Outlook May 2014  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer(STEO)

155

Short-Term Energy Outlook September 2013  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and

156

Short-Term Energy Outlook September 2014  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1andOutlook

157

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

158

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

159

Benefits of Multi-day Industrial Center Assessments for Large Energy-Intensive Facilities  

E-Print Network [OSTI]

1 Benefits of Multi-day Industrial Center Assessments for Large Energy- Intensive Facilities1 Warren M. Heffington, Texas A&M University James A. Eggebrecht, Texas A&M University ABSTRACT Multi-day Industrial Assessment Center (IAC...) assessments are shown to be effective in serving the energy efficiency needs of large energy-intensive industrial facilities. Assessment results from two and three-day visits to eight large Industries of the Future (IOF) plants are discussed and compared...

Heffington, W.M.; Eggebrecht, J.A.

160

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

SciTech Connect (OSTI)

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

Note: This page contains sample records for the topic "term 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

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

SciTech Connect (OSTI)

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

162

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

SciTech Connect (OSTI)

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

163

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

SciTech Connect (OSTI)

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

164

Baryon Acoustic Oscillation Intensity Mapping 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 brightness 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.

Chang, Tzu-Ching; Peterson, Jeffrey B; McDonald, Patrick

2007-01-01T23:59:59.000Z

165

Energy Input, Carbon Intensity, and Cost for Ethanol Produced from Brown Seaweed  

E-Print Network [OSTI]

Energy Input, Carbon Intensity, and Cost for Ethanol Produced from Brown Seaweed by Aaron, Carbon Intensity, and Cost for Ethanol Produced from Brown Seaweed by Aaron Philippsen B.Eng, University of Mechanical Engineering) Co-Supervisor Brown macroalgae or brown seaweed is a promising source of ethanol

Victoria, University of

166

World Best Practice Energy Intensity Values for SelectedIndustrial Sectors  

SciTech Connect (OSTI)

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

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

2007-06-05T23:59:59.000Z

167

Table 6. Energy intensity by State (2000 - 2011)  

Gasoline and Diesel Fuel Update (EIA)

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

168

Southeastern Center for Industrial Energy Intensity Reduction | Department  

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

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

169

Short-term energy outlook: Quarterly projections. Second quarter 1995  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the second quarter of 1995 through the fourth quarter of 1996. Values for the first quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the second quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

NONE

1995-05-02T23:59:59.000Z

170

Short-term Human Vision Protection from Intense Light Sources | Princeton  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2)Sharing Smart GridShift End Shift End ASupplement:Plasma

171

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

E-Print Network [OSTI]

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

Ocaña, Carlos

172

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

173

Short-term energy outlook. Quarterly projections, second quarter 1996  

SciTech Connect (OSTI)

The Energy Information Administration prepares quarterly, short-term energy supply, demand, and price projections. The forecasts in this issue cover the second quarter of 1996 through the fourth quarter of 1997. Changes to macroeconomic measures by the Bureau of Economic Analysis have been incorporated into the STIFS model used.

NONE

1996-04-01T23:59:59.000Z

174

Short-term energy outlook: Quarterly projections, Third quarter 1992  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The principal users of the Outlook are managers and energy analysts in private industry and government. The forecast period for this issue of the Outlook extends from the third quarter of 1992 through the fourth quarter of 1993. Values for the second quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

Not Available

1992-08-01T23:59:59.000Z

175

An action with positive kinetic energy term for general relativity  

E-Print Network [OSTI]

At first, we state some results in arXiv: 0707.2639, and then, using a positive kinetic energy coordinate condition given by arXiv: 0707.2639, we present an action with positive kinetic energy term for general relativity. Based on this action, the corresponding theory of canonical quantization is discussed.

T. Mei

2007-11-02T23:59:59.000Z

176

Short-term energy outlook. Volume 2. Methodology  

SciTech Connect (OSTI)

This volume updates models and forecasting methodologies used and presents information on new developments since November 1981. Chapter discusses the changes in forecasting methodology for motor gasoline demand, electricity sales, coking coal, and other petroleum products. Coefficient estimates, summary statistics, and data sources for many of the short-term energy models are provided. Chapter 3 evaluates previous short-term forecasts for the macroeconomic variables, total energy, petroleum supply and demand, coal consumption, natural gas, and electricity fuel shares. Chapter 4 reviews the relationship of total US energy consumption to economic activity between 1960 and 1981.

Not Available

1982-05-01T23:59:59.000Z

177

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.

178

Short-term energy outlook, quarterly projections, second quarter 1998  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections. The details of these projections, as well as monthly updates, are available on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The paper discusses outlook assumptions; US energy prices; world oil supply and the oil production cutback agreement of March 1998; international oil demand and supply; world oil stocks, capacity, and net trade; US oil demand and supply; US natural gas demand and supply; US coal demand and supply; US electricity demand and supply; US renewable energy demand; and US energy demand and supply sensitivities. 29 figs., 19 tabs.

NONE

1998-04-01T23:59:59.000Z

179

Short-term energy outlook, Quarterly projections. Third quarter 1993  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the third quarter of 1993 through the fourth quarter of 1994. Values for the second quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

NONE

1993-08-04T23:59:59.000Z

180

Short-Term Energy Outlook: Quarterly projections. Fourth quarter 1993  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the fourth quarter of 1993 through the fourth quarter of 1994. Values for the third quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications.

Not Available

1993-11-05T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

Short-term energy outlook quarterly projections: First quarter 1993  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.). The forecast period for this issue of the Outlook extends from the first quarter of 1993 through the fourth quarter of 1994. Values for the fourth quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

Not Available

1993-02-03T23:59:59.000Z

182

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

183

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

184

High-Intensity Discharge Lighting Basics | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietip sheetK-4In 2013 many| Department HIGHImage of

185

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

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesale

186

Energy End-Use Intensities in Commercial Buildings 1992  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand

187

Energy Intensity of Federal Buildings Slashed 25% in Past Decade |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPC ENABLE:2009 DOEDeploymentHenry C. FoleyEnergy FromCould

188

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

SciTech Connect (OSTI)

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

Ohshita, Stephanie; Price, Lynn

2011-03-21T23:59:59.000Z

189

Glossary of Energy-Related Terms | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | Department of EnergyGeothermal TechnologiesTransformationThe

190

In addition to the intensive focus on operational energy reduction, the client and  

E-Print Network [OSTI]

In addition to the intensive focus on operational energy reduction, the client and design team carbon emissions of the building materials as well as the produced carbon emissions resulting from energy decommissioned Sebastiani vineyard wine vats. Due to the tight- grained quality of this old-growth wood no sealer

191

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.

192

On the mass formula and Wigner and curvature energy terms  

E-Print Network [OSTI]

The efficiency of different mass formulas derived from the liquid drop model including or not the curvature energy, the Wigner term and different powers of the relative neutron excess $I$ has been determined by a least square fitting procedure to the experimental atomic masses assuming a constant R$_{0,charge}$/A$^{1/3}$ ratio. The Wigner term and the curvature energy can be used independently to improve the accuracy of the mass formula. The different fits lead to a surface energy coefficient of around 17-18 MeV, a relative sharp charge radius r$_0$ of 1.22-1.23 fm and a proton form-factor correction to the Coulomb energy of around 0.9 MeV.

G. Royer

2007-10-12T23:59:59.000Z

193

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

SciTech Connect (OSTI)

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

Hemrick, James Gordon [ORNL

2013-01-01T23:59:59.000Z

194

Algal Biofuels: Long-Term Energy Benefits Drive U.S. Research...  

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

Biofuels: Long-Term Energy Benefits Drive U.S. Research Algal Biofuels: Long-Term Energy Benefits Drive U.S. Research Algal Biofuels: Long-Term Energy Benefits Drive U.S. Research...

195

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

196

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

197

Short-term energy outlook: Quarterly projections, fourth quarter 1997  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for printed publication in January, April, July, and October in the Short-Term Energy Outlook. The details of these projections, as well as monthly updates on or about the 6th of each interim month, are available on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The forecast period for this issue of the Outlook extends from the fourth quarter of 1997 through the fourth quarter of 1998. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the fourth quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. 19 tabs.

NONE

1997-10-14T23:59:59.000Z

198

Energy Information Administration/Short-Term Energy Outlook - April 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,

199

Energy Information Administration/Short-Term Energy Outlook - April 2006  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1 April

200

Energy Information Administration/Short-Term Energy Outlook - August 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1 April5

Note: This page contains sample records for the topic "term 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 Information Administration/Short-Term Energy Outlook - February 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1

202

Energy Information Administration/Short-Term Energy Outlook - January 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1January

203

Energy Information Administration/Short-Term Energy Outlook - July 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6

204

Energy Information Administration/Short-Term Energy Outlook - June 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 1

205

Energy Information Administration/Short-Term Energy Outlook - May 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 1

206

Energy Information Administration/Short-Term Energy Outlook - October 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 15 1

207

Energy Information Administration/Short-Term Energy Outlook - September 2005  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 15

208

Short-term energy outlook. Quarterly projections, first quarter 1995  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). The forecast period for this issue of the Outlook extends from the first quarter of 1995 through the fourth quarter of 1996. Values for the fourth quarter of 1994, however, are preliminary EIA estimates or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

Not Available

1995-02-01T23:59:59.000Z

209

We often think about energy in personal terms. People comment on the energy young children  

E-Print Network [OSTI]

Overview We often think about energy in personal terms. People comment on the energy young children seem to possess. Others mention that they don't feel they have enough energy to make it through the day. We've heard that the world is running out of certain types of energy. In spite of all of our everyday

Hardy, Darel

210

Short-term energy outlook, Annual supplement 1995  

SciTech Connect (OSTI)

This supplement is published once a year as a complement to the Short- Term Energy Outlook, Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts. Chap. 2 analyzes the response of the US petroleum industry to the recent four Federal environmental rules on motor gasoline. Chap. 3 compares the EIA base or mid case energy projections for 1995 and 1996 (as published in the first quarter 1995 Outlook) with recent projections made by four other major forecasting groups. Chap. 4 evaluates the overall accuracy. Chap. 5 presents the methology used in the Short- Term Integrated Forecasting Model for oxygenate supply/demand balances. Chap. 6 reports theoretical and empirical results from a study of non-transportation energy demand by sector. The empirical analysis involves the short-run energy demand in the residential, commercial, industrial, and electrical utility sectors in US.

NONE

1995-07-25T23:59:59.000Z

211

Long-term Industrial Energy Forecasting (LIEF) model (18-sector version)  

SciTech Connect (OSTI)

The new 18-sector Long-term Industrial Energy Forecasting (LIEF) model is designed for convenient study of future industrial energy consumption, taking into account the composition of production, energy prices, and certain kinds of policy initiatives. Electricity and aggregate fossil fuels are modeled. Changes in energy intensity in each sector are driven by autonomous technological improvement (price-independent trend), the opportunity for energy-price-sensitive improvements, energy price expectations, and investment behavior. Although this decision-making framework involves more variables than the simplest econometric models, it enables direct comparison of an econometric approach with conservation supply curves from detailed engineering analysis. It also permits explicit consideration of a variety of policy approaches other than price manipulation. The model is tested in terms of historical data for nine manufacturing sectors, and parameters are determined for forecasting purposes. Relatively uniform and satisfactory parameters are obtained from this analysis. In this report, LIEF is also applied to create base-case and demand-side management scenarios to briefly illustrate modeling procedures and outputs.

Ross, M.H. (Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Physics); Thimmapuram, P.; Fisher, R.E.; Maciorowski, W. (Argonne National Lab., IL (United States))

1993-05-01T23:59:59.000Z

212

Short-term energy outlook. Quarterly projections, first quarter 1996  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Outlook. The forecast period for this issue of the Outlook extends from the first quarter of 1996 through the fourth quarter of 1997. Values for the fourth quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook.

NONE

1996-02-01T23:59:59.000Z

213

Short-term energy outlook: Quarterly projections, second quarter 1997  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the second quarter of 1997 through the fourth quarter of 1998. Values for the first quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the second quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the Short-Term Integrated Forecasting System (STIFS). 34 figs., 19 tabs.

NONE

1997-04-01T23:59:59.000Z

214

Short-Term Test Results: Multifamily Home Energy Efficiency Retrofit  

SciTech Connect (OSTI)

Multifamily deep energy retrofits (DERs) represent great potential for energy savings, while also providing valuable insights on research-generated efficiency measures, cost-effectiveness metrics, and risk factor strategies for the multifamily housing industry. The Bay Ridge project is comprised of a base scope retrofit with a goal of achieving 30% savings (relative to pre-retrofit), and a DER scope with a goal of 50% savings (relative to pre-retrofit). The base scope has been applied to the entire complex, except for one 12-unit building which underwent the DER scope. Findings from the implementation, commissioning, and short-term testing at Bay Ridge include air infiltration reductions of greater than 60% in the DER building; a hybrid heat pump system with a Savings to Investment Ratio (SIR) > 1 (relative to a high efficiency furnace) which also provides the resident with added incentive for energy savings; and duct leakage reductions of > 60% using an aerosolized duct sealing approach. Despite being a moderate rehab instead of a gut rehab, the Bay Ridge DER is currently projected to achieve energy savings ? 50% compared to pre-retrofit, and the short-term testing supports this estimate.

Lyons, J.

2013-01-01T23:59:59.000Z

215

Short-term energy outlook. Quarterly projections, third quarter 1996  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the third quarter of 1996 through the fourth quarter of 1997. Values for the second quarter of 1996, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled in the third quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

NONE

1996-07-01T23:59:59.000Z

216

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

217

Long vs. short-term energy storage:sensitivity analysis.  

SciTech Connect (OSTI)

This report extends earlier work to characterize long-duration and short-duration energy storage technologies, primarily on the basis of life-cycle cost, and to investigate sensitivities to various input assumptions. Another technology--asymmetric lead-carbon capacitors--has also been added. Energy storage technologies are examined for three application categories--bulk energy storage, distributed generation, and power quality--with significant variations in discharge time and storage capacity. Sensitivity analyses include cost of electricity and natural gas, and system life, which impacts replacement costs and capital carrying charges. Results are presented in terms of annual cost, $/kW-yr. A major variable affecting system cost is hours of storage available for discharge.

Schoenung, Susan M. (Longitude 122 West, Inc., Menlo Park, CA); Hassenzahl, William V. (,Advanced Energy Analysis, Piedmont, CA)

2007-07-01T23:59:59.000Z

218

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

219

Contact Term, its Holographic Description in QCD and Dark Energy  

E-Print Network [OSTI]

In this work we study the well known contact term, which is the key element in resolving the so-called $U(1)_A$ problem in QCD. We study this term using the dual Holographic Description. We argue that in the dual picture the contact term is saturated by the D2 branes which can be interpreted as the tunnelling events in Minkowski space-time. We quote a number of direct lattice results supporting this identification. We also argue that the contact term receives a Casimir -like correction $\\sim (\\Lqcd R)^{-1}$ rather than naively expected $\\exp(-\\Lqcd R)$ when the Minkowski space-time ${\\cal R}_{3,1}$ is replaced by a large but finite manifold with a size $R$. Such a behaviour is consistent with other QFT-based computations when power like corrections are due to nontrivial properties of topological sectors of the theory. In holographic description such a behaviour is due to massless Ramond-Ramond (RR) field living in the bulk of multidimensional space when power like corrections is a natural outcome of massless RR field. In many respects the phenomenon is similar to the Aharonov -Casher effect when the "modular electric field" can penetrate into a superconductor where the electric field is exponentially screened. The role of "modular operator" from Aharonov -Casher effect is played by large gauge transformation operator $\\cal{T}$ in 4d QCD, resulting the transparency of the system to topologically nontrivial pure gauge configurations. We discuss some profound consequences of our findings. In particular, we speculate that a slow variation of the contact term in expanding universe might be the main source of the observed Dark Energy.

Ariel R. Zhitnitsky

2012-08-01T23:59:59.000Z

220

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

SciTech Connect (OSTI)

This report describes a comprehensive system of energy intensity indicators for the United States that has been developed for the Department of Energy’s 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 economy—residential, commercial, industrial, and transportation—is 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

Note: This page contains sample records for the topic "term 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

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

222

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003 Short-Term

223

Short-Term Energy and Winter Fuels Outlook October 2013  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer3 1 Short-Term3

224

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

225

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

226

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

SciTech Connect (OSTI)

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

227

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

E-Print Network [OSTI]

complemented with carbon intensity targets, to explicitlybe complemented with carbon intensity targets, to explicitlyin the provinces. Carbon Intensity. The methodology can also

Ohshita, Stephanie

2011-01-01T23:59:59.000Z

228

Impacts of high energy prices on long-term energy-economic scenarios for Germany  

E-Print Network [OSTI]

Impacts of high energy prices on long-term energy-economic scenarios for Germany Volker Krey1 , Dag and Technology Evaluation (IEF-STE), 52425 Jülich, Germany 2) DIW Berlin, Königin-Luise-Str. 5, 14195 Berlin, Germany 3) �ko-Institut, Novalisstr. 10, 10115 Berlin, Germany Abstract Prices of oil and other fossil

229

PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring  

SciTech Connect (OSTI)

This report presents a unified method of hourly simulation of a building and analysis of performance data. The method is called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense, hence, the name PSTAR. PSTAR allows extraction of building characteristics from short-term tests on a small number of data channels. These can be used for long-term performance prediction (''ratings''), diagnostics, and control of heating, ventilating, and air conditioning systems (HVAC), comparison of design versus actual performance, etc. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI.

Subbarao, K.

1988-09-01T23:59:59.000Z

230

HOT ELECTRON ENERGY DISTRIBUTIONS FROM ULTRA-INTENSE LASER SOLID INTERACTIONS  

SciTech Connect (OSTI)

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

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

2008-10-08T23:59:59.000Z

231

Short-term energy outlook, quarterly projections, first quarter 1998  

SciTech Connect (OSTI)

The forecast period for this issue of the Outlook extends from the first quarter of 1998 through the fourth quarter of 1999. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the first quarter 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are adjusted by EIA to reflect EIA assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 24 figs., 19 tabs.

NONE

1998-01-01T23:59:59.000Z

232

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

233

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

SciTech Connect (OSTI)

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

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

2013-05-13T23:59:59.000Z

234

Table 7. Carbon intensity of the energy supply by State (2000-2011  

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

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

235

ENERGY ISSUES WORKING GROUP ON LONG-TERM VISIONS FOR FUSION POWER  

E-Print Network [OSTI]

ENERGY ISSUES WORKING GROUP ON LONG-TERM VISIONS FOR FUSION POWER Don Steiner, Jeffrey Freidberg Farrokh Najmabadi William Nevins , and John Perkins The Energy Issues Working Group on Long-Term Visions energy production in the next century? 2. What is fusion's potential for penetrating the energy market

Najmabadi, Farrokh

236

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program -Department oftoTheseClick on the graphic to learnEnergy Contents

237

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed NewcatalystNeutron scatteringDelawareTexasMissouri NuclearTennesseeWashington-EIAIron

238

The hydrogen energy economy: its long-term role in greenhouse gas reduction  

E-Print Network [OSTI]

The hydrogen energy economy: its long-term role in greenhouse gas reduction Geoff Dutton, Abigail for Climate Change Research Technical Report 18 #12;The Hydrogen Energy Economy: its long term role 2005 This is the final report from Tyndall research project IT1.26 (The Hydrogen energy economy: its

Watson, Andrew

239

Comparison of Static and Dynamic WDM Networks in Terms of Energy Consumption  

E-Print Network [OSTI]

Comparison of Static and Dynamic WDM Networks in Terms of Energy Consumption A. Leiva1 , J. M from static to dynamic WDM networks is evaluated, for the first time, in terms of energy consumption Currently, telecommunication networks have been reported to account for 1-10% of the world's energy

López, Víctor

240

Nationwide Buildings Energy Research enabled through an integrated Data Intensive Scientific Workflow and Advanced Analysis Environment  

SciTech Connect (OSTI)

Modern workflow systems enable scientists to run ensemble simulations at unprecedented scales and levels of complexity, allowing them to study system sizes previously impossible to achieve, due to the inherent resource requirements needed for the modeling work. However as a result of these new capabilities the science teams suddenly also face unprecedented data volumes that they are unable to analyze with their existing tools and methodologies in a timely fashion. In this paper we will describe the ongoing development work to create an integrated data intensive scientific workflow and analysis environment that offers researchers the ability to easily create and execute complex simulation studies and provides them with different scalable methods to analyze the resulting data volumes. The integration of simulation and analysis environments is hereby not only a question of ease of use, but supports fundamental functions in the correlated analysis of simulation input, execution details and derived results for multi-variant, complex studies. To this end the team extended and integrated the existing capabilities of the Velo data management and analysis infrastructure, the MeDICi data intensive workflow system and RHIPE the R for Hadoop version of the well-known statistics package, as well as developing a new visual analytics interface for the result exploitation by multi-domain users. The capabilities of the new environment are demonstrated on a use case that focusses on the Pacific Northwest National Laboratory (PNNL) building energy team, showing how they were able to take their previously local scale simulations to a nationwide level by utilizing data intensive computing techniques not only for their modeling work, but also for the subsequent analysis of their modeling results. As part of the PNNL research initiative PRIMA (Platform for Regional Integrated Modeling and Analysis) the team performed an initial 3 year study of building energy demands for the US Eastern Interconnect domain, which they are now planning to extend to predict the demand for the complete century. The initial study raised their data demands from a few GBs to 400GB for the 3year study and expected tens of TBs for the full century.

Kleese van Dam, Kerstin; Lansing, Carina S.; Elsethagen, Todd O.; Hathaway, John E.; Guillen, Zoe C.; Dirks, James A.; Skorski, Daniel C.; Stephan, Eric G.; Gorrissen, Willy J.; Gorton, Ian; Liu, Yan

2014-01-31T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

Ultra-Thin, Energy Efficient Facades- A Contradiction in Terms?  

E-Print Network [OSTI]

Within the European Union about 40 percent of the energy is consumed in buildings. In Germany roughly a quarter of the primary energy demand is used for the heating of buildings. A detailed analysis reveals that more than 90 percent of this energy...

Ebert, H. P.

242

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

DOE Patents [OSTI]

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

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

1992-10-06T23:59:59.000Z

243

Life Cycle Energy and Environmental Assessment of Aluminum-Intensive Vehicle Design  

SciTech Connect (OSTI)

Advanced lightweight materials are increasingly being incorporated into new vehicle designs by automakers to enhance performance and assist in complying with increasing requirements of corporate average fuel economy standards. To assess the primary energy and carbon dioxide equivalent (CO2e) implications of vehicle designs utilizing these materials, this study examines the potential life cycle impacts of two lightweight material alternative vehicle designs, i.e., steel and aluminum of a typical passenger vehicle operated today in North America. LCA for three common alternative lightweight vehicle designs are evaluated: current production ( Baseline ), an advanced high strength steel and aluminum design ( LWSV ), and an aluminum-intensive design (AIV). This study focuses on body-in-white and closures since these are the largest automotive systems by weight accounting for approximately 40% of total curb weight of a typical passenger vehicle. Secondary mass savings resulting from body lightweighting are considered for the vehicles engine, driveline and suspension. A cradle-to-cradle life cycle assessment (LCA) was conducted for these three vehicle material alternatives. LCA methodology for this study included material production, mill semi-fabrication, vehicle use phase operation, and end-of-life recycling. This study followed international standards ISO 14040:2006 [1] and ISO 14044:2006 [2], consistent with the automotive LCA guidance document currently being developed [3]. Vehicle use phase mass reduction was found to account for over 90% of total vehicle life cycle energy and CO2e emissions. The AIV design achieved mass reduction of 25% (versus baseline) resulting in reductions in total life cycle primary energy consumption by 20% and CO2e emissions by 17%. Overall, the AIV design showed the best breakeven vehicle mileage from both primary energy consumption and climate change perspectives.

Das, Sujit [ORNL

2014-01-01T23:59:59.000Z

244

Long-Term Stewardship Resource Center | Department of Energy  

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

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

245

Long-term energy consumptions of urban transportation: A prospective...  

Open Energy Info (EERE)

Bangalore can significantly curb the trajectories of energy consumption and the ensuing carbon dioxide emissions, if and only if they are implemented in the framework of...

246

Sustaining Long-Term Energy Savings for a Major Texas State Agency Performance Contracting Initiative  

E-Print Network [OSTI]

SUSTAINING LONG-TERM ENERGY SAVINGS FOR A MAJOR TEXAS STATE AGENCY PERFORMANCE CONTRACTING INITIATIVE Tarek Bou-Saada, Energy Manager Texas Health and Human Services Commission Charles Culp, Ph.D., P.E., FASHRAE, LEED-AP Dept. of Architecture... 1 SUSTAINING LONG-TERM ENERGY SAVINGS FOR A MAJOR TEXAS STATE AGENCY PERFORMANCE CONTRACTING INITIATIVE Tarek Bou-Saada Energy Manager Texas Health and Human Services Commission Austin, TX Charles Culp, Ph.D., P.E. Associate...

Culp, C.; Bou-Saada, T. E.

247

Long term experiences with HDD SCR Catalysts | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensionalthe10IO1OP001 LetterLight-Duty11.2.1310employeeLong TermLong term

248

Role of the breeder in long-term energy economics  

SciTech Connect (OSTI)

Private and public decisions affecting the use of nuclear and other energy technologies over a long-run time horizon were studied using the ETA-MACRO model which provides for economic- and energy-sector interactions. The impact on the use of competing energy technologies of a public decision to apply benefit-cost analysis to the production of carbon dioxide that enters the atmosphere is considered. Assuming the public choice is to impose an appropriate penalty tax on those technologies which generate CO/sub 2/ and to allow decentralized private decisions to choose the optimal mix of energy technologies that maximize a nonlinear objective function subject to constraints, the study showed that breeder technology provides a much-larger share of domestically consumed energy. Having the breeder technology available as a substitute permits control of CO/sub 2/ without significant reductions in consumption or gross national product growth paths.

Kosobud, R.F.; Daly, T.A.; Chang, Y.I.

1982-01-01T23:59:59.000Z

249

Comparison of closed and open thermochemical processes, for long-term thermal energy storage applications  

E-Print Network [OSTI]

1 Comparison of closed and open thermochemical processes, for long-term thermal energy storage-term thermal storage, second law analysis * Corresponding author: E-mail: mazet@univ-perp.fr Nomenclature c Energy Tecnosud, Rambla de la thermodynamique, 66100 Perpignan, France b Université de Perpignan Via

Paris-Sud XI, Université de

250

Short term thermal energy storage Institut fr Kernenergetik und Energiesysteme, University of Stuttgart, Stuttgart, FRG  

E-Print Network [OSTI]

477 Short term thermal energy storage A. Abhat Institut für Kernenergetik und Energiesysteme the problem of short term thermal energy storage for low temperature solar heating applications. The techniques of sensible and latent heat storage are discussed, with particular emphasis on the latter

Paris-Sud XI, Université de

251

Identifying and quantifying nonconservative energy production/destruction terms in hydrostatic Boussinesq primitive equation models  

E-Print Network [OSTI]

Identifying and quantifying nonconservative energy production/destruction terms in hydrostatic Boussinesq primitive equation models R´emi Tailleux Department of Meteorology, University of Reading, Earley/destruction terms in the local total energy balance equation in numerical ocean general circulation models (OGCMs

Tailleux, Remi

252

Newporter Apartments: Deep Energy Retrofit Short-Term Results  

SciTech Connect (OSTI)

This project demonstrates a path to meet the goal of the Building America program to reduce home energy use by 30% in multi-family buildings. The project demonstrates cost effective energy savings targets as well as improved comfort and indoor environmental quality (IEQ) associated with deep energy retrofits by a large public housing authority as part of a larger rehabilitation effort. The project focuses on a typical 1960's vintage low-rise multi-family apartment community (120 units in three buildings).

Gordon, A.; Howard, L.; Kunkle, R.; Lubliner, M.; Auer, D.; Clegg, Z.

2012-12-01T23:59:59.000Z

253

Terms and Conditions for Site Transition | Department of Energy  

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

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

254

Long-Term Engineered Cap Performance | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | DepartmentEnergy InvitationLegaltoLiz Doris AboutLochinvarLong

255

Long-Term Grout Performance | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | DepartmentEnergy InvitationLegaltoLiz Doris AboutLochinvarLongGrout

256

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

257

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

258

April 2013 Short-Term Energy and Summer Fuels Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S. Energy8 Appendix7

259

Designing Renewable Energy Financing Mechanism Terms of Reference | Open  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump to:52c8ff988c1Dering Harbor, New York: EnergyEnergy Information Designing

260

Designing Renewable Energy Financing Mechanism Terms of Reference | Open  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump to:52c8ff988c1Dering Harbor, New York: EnergyEnergy Information

Note: This page contains sample records for the topic "term 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

Long-Term Stewardship Study | Department of Energy  

Office of Environmental Management (EM)

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

262

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perThe Energy

263

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

264

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. Vergés

1997-10-08T23:59:59.000Z

265

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

266

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

267

Long-term energy consumptions of urban transportation: A prospective  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster AndLittletown, Arizona:Lockland,LIPAsimulation of

268

Representing Energy Price Variability in Long-and Medium-term Hydropower Optimization  

E-Print Network [OSTI]

1 Representing Energy Price Variability in Long- and Medium- term Hydropower Optimization Marcelo A Resources Planning and Management, 2012, in press ABSTRACT Representing peak and off-peak energy prices and examines the reliability of an existing approximate method to incorporate hourly energy price information

Pasternack, Gregory B.

269

On Measuring the Terms of the Turbulent Kinetic Energy Budget from an AUV LOUIS GOODMAN  

E-Print Network [OSTI]

of production of turbulent kinetic energy (TKE). Heat flux is obtained by correlating the vertical velocityOn Measuring the Terms of the Turbulent Kinetic Energy Budget from an AUV LOUIS GOODMAN School of the steady-state, homogeneous turbulent kinetic energy budgets are obtained from mea- surements of turbulence

Goodman, Louis

270

Short-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes  

E-Print Network [OSTI]

for energy recharge. Under the assumption of an increasing concave power-rate relationship, the short completion time of a given amount of data were found for an energy harvesting node under the assumptionShort-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes Kaya Tutuncuoglu

Yener, Aylin

271

Assessing climate change impacts on the near-term stability of the wind energy  

E-Print Network [OSTI]

Assessing climate change impacts on the near-term stability of the wind energy resource over- ble emissions of carbon dioxide. The wind energy resource is natu- rally a function of the climate, leading some to question the continued viability of the wind energy industry. Here we briefly articulate

Pryor, Sara C.

272

A long-term investment planning model for mixed energy infrastructure integrated with renewable  

E-Print Network [OSTI]

A long-term investment planning model for mixed energy infrastructure integrated with renewable energy Jinxu Ding and Arun Somani Department of Electrical and Computer Engineering Iowa State University Ames, IA 50011 Email: {jxding,arun}@iastate.edu Abstract--The current energy infrastructure heavily

273

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

274

Challenges for Long-Term Energy Models: Modeling Energy Use and Energy Efficiency  

Gasoline and Diesel Fuel Update (EIA)

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

275

Renewable Energy Cross Sectoral Assessments Terms of Reference | Open  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar PowerstoriesNrelPartnerType Jump to:Co JumpRETScreenJamLLC JumpEnergy

276

Renewable Energy Specifications, Testing and Certification Terms of  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar PowerstoriesNrelPartnerType Jump to:Co Agency/CompanyReference | Open Energy

277

December 2012 Short-Term Energy Outlook (STEO)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015Year109 AppendixCosts ofMarch2Q)4(82)6)k(STEO)  EIA

278

February 2013 Short-Term Energy Outlook (STEO)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. FOR

279

January 2013 Short-Term Energy Outlook (STEO)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy Consumption Series(STEO)

280

Long-Term U.S. Energy Outlook: Different Perspectives  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy81 §

Note: This page contains sample records for the topic "term 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

March 2013 Short-Term Energy Outlook (STEO)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration (EIA)Administration(STEO)

282

Renewable Energy Terms of Reference: Laws, Policies and Regulations | Open  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g Grant of Access(California andEnergy Information Reference: Laws,

283

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gas Summary

284

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gas

285

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gascontinue

286

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural

287

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 and $2.75

288

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 and

289

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 andabout

290

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71

291

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20 per

292

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20

293

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20late

294

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA

295

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003

296

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through the

297

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through the

298

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through

299

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin

300

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin7

Note: This page contains sample records for the topic "term 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

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin78

302

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May

303

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtu in

304

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtu

305

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtulate

306

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per

307

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perThe

308

Natural Gas Summary from the Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perTheThe

309

Short-Term Energy Outlook April 1999-Summer Gasoline Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October‹Summer

310

Short-Term Energy Outlook April 2000--STEO Preface  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1

311

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

E-Print Network [OSTI]

of Energy, Energy Information Administration (U.S. DOE/EIA).of Energy, Energy Information Administration (U.S. DOE/EIA).of Energy, Energy Information Administration ( U.S. DOE/

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

312

Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module  

Reports and Publications (EIA)

The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

2015-01-01T23:59:59.000Z

313

Development and Update of Models for Long-Term Energy and GHG...  

Office of Environmental Management (EM)

Update of Models for Long-Term Energy and GHG Impact Evaluation 2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

314

Distributed Energy: Modeling Penetration in Industrial Sector Over the Long-Term  

E-Print Network [OSTI]

Distributed Energy: Modeling Penetration in Industrial Sector over the Long-Term Lorna Greening, Private Consultant, Los Alamos, NM Distributed energy (DE) sources provide a number of benefits when utilized. For industrial facilities... and the generation of steam. Within the framework of a US energy system model (MARKAL using the assumptions underlying AEO 2005), where all sources of energy supply and demand are depicted, the potential penetration of DE options is evaluated. The industrial...

Greening, L.

2006-01-01T23:59:59.000Z

315

Short-Term Energy Tests of a Credit Union Building in Idaho (Draft)  

SciTech Connect (OSTI)

This report describes tests and results of the energy performance of a credit union building in Idaho. The building is in the Energy Edge Program administered by the Bonneville Power Administration (BPA). BPA provided incentives to incorporate innovative features designed to conserve energy use by the building. It is of interest to determine the actual performance of these features. The objective of this project was to evaluate the applicability of the SERI short-term energy monitoring (STEM) method to nonresidential buildings.

Subbarao, K.; Balcomb, J. D.

1993-01-01T23:59:59.000Z

316

Intensity-Modulated Radiotherapy is Associated With Improved Global Quality of Life Among Long-term Survivors of Head-and-Neck Cancer  

SciTech Connect (OSTI)

Purpose: To compare the long-term quality of life among patients treated with and without intensity-modulated radiotherapy (IMRT) for head-and-neck cancer. Methods and Materials: University of Washington Quality of Life instrument scores were reviewed for 155 patients previously treated with radiation therapy for locally advanced head-and-neck cancer. All patients were disease free and had at least 2 years of follow-up. Eighty-four patients (54%) were treated with IMRT. The remaining 71 patients (46%) were treated with three-dimensional conformal radiotherapy (3D CRT) by use of initial opposed lateral fields matched to a low anterior neck field. Results: The mean global quality of life scores were 67.5 and 80.1 for the IMRT patients at 1 and 2 years, respectively, compared with 55.4 and 57.0 for the 3D CRT patients, respectively (p < 0.001). At 1 year after the completion of radiation therapy, the proportion of patients who rated their global quality of life as 'very good' or 'outstanding' was 51% and 41% among patients treated by IMRT and 3DCRT, respectively (p = 0.11). At 2 years, the corresponding percentages increased to 73% and 49%, respectively (p < 0.001). On multivariate analysis accounting for sex, age, radiation intent (definitive vs. postoperative), radiation dose, T stage, primary site, use of concurrent chemotherapy, and neck dissection, the use of IMRT was the only variable independently associated with improved quality of life (p = 0.01). Conclusion: The early quality of life improvements associated with IMRT not only are maintained but apparently become more magnified over time. These data provide powerful evidence attesting to the long-term benefits of IMRT for head-and-neck cancer.

Chen, Allen M., E-mail: allen.chen@ucdmc.ucdavis.edu [Department of Radiation Oncology, University of California Davis Cancer Center, Sacramento, CA (United States); Farwell, D. Gregory; Luu, Quang [Department of Otolaryngology-Head and Neck Surgery, University of California Davis Cancer Center, Sacramento, CA (United States)] [Department of Otolaryngology-Head and Neck Surgery, University of California Davis Cancer Center, Sacramento, CA (United States); Vazquez, Esther G. [Department of Radiation Oncology, University of California Davis Cancer Center, Sacramento, CA (United States)] [Department of Radiation Oncology, University of California Davis Cancer Center, Sacramento, CA (United States); Lau, Derick H. [Department of Medical Oncology, University of California Davis Cancer Center, Sacramento, CA (United States)] [Department of Medical Oncology, University of California Davis Cancer Center, Sacramento, CA (United States); Purdy, James A. [Department of Radiation Oncology, University of California Davis Cancer Center, Sacramento, CA (United States)] [Department of Radiation Oncology, University of California Davis Cancer Center, Sacramento, CA (United States)

2012-09-01T23:59:59.000Z

317

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

318

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

319

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network [OSTI]

No.4 Japan's Long-term Energy Demand and Supply Scenario towe projected Japan's energy demand/supply and energy-relatedcrises (to cut primary energy demand per GDP ( T P E S / G D

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

320

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.

Note: This page contains sample records for the topic "term 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

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 China’s iron

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

322

2014-09-24 Issuance: Energy Conservation Program for Manufactured Housing; Notice to Extend Term and Public Meetings  

Broader source: Energy.gov [DOE]

This document is the Energy Conservation Program for Manufactured Housing; Notice to Extend Term and Public Meetings.

323

U.S. Energy Infrastructure Investment: Long-Term Strategic Planning  

E-Print Network [OSTI]

be done by putting a ruler on logarithmic graph paper and extending a line from past usage to predict fu- ture usage. Contributors to this paper posit that existing energy planning tools, modelsU.S. Energy Infrastructure Investment: Long-Term Strategic Planning to Inform Policy Development

324

Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change) or pounds (cost).  

E-Print Network [OSTI]

AIM Energy savings can be communicated in terms of kilowatt hours (energy), carbon (climate change) or pounds (cost). We want to know if these different communication units prime different motivations more broadly. This implies that considering carbon may result in wider changes in sustainable behaviour

McAuley, Derek

325

International Energy Conference, 19 -21 May 2003 Energy Technologies for post-Kyoto targets in the medium term  

E-Print Network [OSTI]

Aquifers and Hydrocarbon Structures Power & Heat Air Air O2 N2 & O2 CO2 CO2 CO2 Compression & DehydrationInternational Energy Conference, 19 - 21 May 2003 Energy Technologies for post-Kyoto targets in the medium term CO2 Capture & Geological Storage Niels Peter Christensen International Ventures Director

326

DOE/EIA-0202(85/1Q) Short-Term Energy Outlook Quarterly Projections  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term Energy

327

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

E-Print Network [OSTI]

kg (30.451 MJ/kg) cleaned coal, energy consumption is 97.32As a result, the overall coal energy use in China is reducedAs a result, the overall coal energy use in China is reduced

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

328

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

E-Print Network [OSTI]

energy use for the pellet production is fuel, so this valueof energy used for the production of pellets, the followingthe energy use for the production of pellet, lime, coke, and

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

329

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

330

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

331

POST-KYOTO POLICY IMPLICATIONS ON THE ENERGY SYSTEM: A TIAM-FR LONG-TERM PLANNING EXERCISE  

E-Print Network [OSTI]

marginal costs, the primary energy consumption and the energy mix. This paper compares global efforts of CO. Keywords CO2 mitigation targets, global energy system, long-term modelling Acknowledgement This researchPOST-KYOTO POLICY IMPLICATIONS ON THE ENERGY SYSTEM: A TIAM-FR LONG-TERM PLANNING EXERCISE Sandrine

Paris-Sud XI, Université de

332

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

333

A long-term, integrated impact assessment of alternative building energy code scenarios in China  

SciTech Connect (OSTI)

China is the second largest building energy user in the world, ranking first and third in residential and commercial energy consumption. Beginning in the early 1980s, the Chinese government has developed a variety of building energy codes to improve building energy efficiency and reduce total energy demand. This paper studies the impact of building energy codes on energy use and CO2 emissions by using a detailed building energy model that represents four distinct climate zones each with three building types, nested in a long-term integrated assessment framework GCAM. An advanced building stock module, coupled with the building energy model, is developed to reflect the characteristics of future building stock and its interaction with the development of building energy codes in China. This paper also evaluates the impacts of building codes on building energy demand in the presence of economy-wide carbon policy. We find that building energy codes would reduce Chinese building energy use by 13% - 22% depending on building code scenarios, with a similar effect preserved even under the carbon policy. The impact of building energy codes shows regional and sectoral variation due to regionally differentiated responses of heating and cooling services to shell efficiency improvement.

Yu, Sha; Eom, Jiyong; Evans, Meredydd; Clarke, Leon E.

2014-04-01T23:59:59.000Z

334

Hot electron energy coupling in ultra-intense laser matter interaction  

SciTech Connect (OSTI)

We investigate the hydrodynamic response of plasma gradients during the interaction with ultra-intense energetic laser pulses, using one-dimensional kinetic particle simulations. As energetic laser pulses are capable of compressing the preformed plasma over short times, the coupling efficiency as well as the temperature of hot electrons drop, leading to localized heating near the point of absorption. We describe the cause of this drop, explain the electron spectra and identify the parametric region where strong compression occurs. Finally, we discuss implications for fast ignition and other applications.

Kemp, A J; Sentoku, Y; Tabak, M

2008-04-15T23:59:59.000Z

335

DOE/EIA-0202(85/2Q) Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term

336

DOE/EIA-0202(85/3Q) Short-Term Energy Outlook Quarterly Projections  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term3Q)

337

Methodology for Analyzing Energy and Demand Savings From Energy Services Performance Contract Using Short-Term Data  

E-Print Network [OSTI]

..iilJlf t '_:pUIltaD ? (e) (d) ? ? I I , , ., ? BJ ? AmmJl.thm:pIIILt1II:l ....iind?t.m'.m1R.Dl (,) (f) r ~ ~, ~I-----------'l,----------f .. AmmJl.thJII.:p1mt1ll:1 ., February 9, 2009 Energy Systems Laboratory 10 CONCLUSIONSCASE STUDIESMETHODOLOGY DEMAND SAVINGS...METHODOLOGY FOR ANALYZING ENERGY AND DEMAND SAVINGS FROM ENERGY SERVICES PERFORMANCE CONTRACT USING SHORT-TERM DATA Zi Liu, Jeff Haberl, Soolyeon Cho Energy Systems Laboratory Texas A&M University System College Station, TX 77843 Bobby...

Liu, Z.; Haberl, J. S.; Cho, S.; Lynn, B.; Cook, M.

2006-01-01T23:59:59.000Z

338

Data Intensive  

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

339

PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary  

SciTech Connect (OSTI)

This report summarizes a longer report entitled PSTAR - Primary and Secondary Terms Analysis and Renormalization. A Unified Approach to Building Energy Simulations and Short-Term Monitoring. These reports highlight short-term testing for predicting long-term performance of residential buildings. In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense; hence, the name PSTAR. Testing and monitoring the energy performance of buildings has several important applications, among them: extrapolation to long-term performance, refinement of design tools through feedback from comparing design versus actual parameters, building-as-a-calorimeter for heating, ventilating, and air conditioning (HVAC) diagnostics, and predictive load control. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI. 3 figs., 1 tab.

Subbarao, K.

1988-09-01T23:59:59.000Z

340

Table 7. Carbon intensity of the energy supply by State (2000…2011)  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "term 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

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

342

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

343

Short-term energy outlook. Quarterly projections, 2nd quarter 1994  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the second quarter of 1994 through the fourth quarter of 1995. Values for the first quarter of 1994, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available. The historical energy data, compiled into the second quarter 1994 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the STIFS. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

Not Available

1994-05-01T23:59:59.000Z

344

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

345

DOE/EIA-0202(87/1Q) Energy Information Administration Short-Term  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q) Energy

346

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.

347

Global economics/energy/environmental (E{sup 3}) modeling of long-term nuclear energy futures  

SciTech Connect (OSTI)

A global energy, economics, environment (E{sup 3}) model has been adopted and modified with a simplified, but comprehensive and multi-regional, nuclear energy module. Using this model, consistent nuclear energy scenarios are constructed. A spectrum of future is examined at two levels in a hierarchy of scenario attributes in which drivers are either external or internal to nuclear energy. Impacts of a range of nuclear fuel-cycle scenarios are reflected back to the higher-level scenario attributes. An emphasis is placed on nuclear materials inventories (in magnitude, location, and form) and their contribution to the long-term sustainability of nuclear energy and the future competitiveness of both conventional and advanced nuclear reactors.

Krakowski, R.A.; Davidson, J.W.; Bathke, C.G.; Arthur, E.D.; Wagner, R.L. Jr.

1997-09-01T23:59:59.000Z

348

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

349

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

350

Gravitational lens optical scalars in terms of energy-momentum distributions  

E-Print Network [OSTI]

This is a general work on gravitational lensing. We present new expressions for the optical scalars and the deflection angle in terms of the energy-momentum tensor components of matter distributions. Our work generalizes standard references in the literature where normally stringent assumptions are made on the sources. The new expressions are manifestly gauge invariant, since they are presented in terms of curvature components. We also present a method of approximation for solving the lens equations, that can be applied to any order.

Emanuel Gallo; Osvaldo M. Moreschi

2011-05-09T23:59:59.000Z

351

Floquet theory and complex quasivibrational energy formalism for intense field molecular photodissociation  

E-Print Network [OSTI]

the solution of Eq. (1) by expanding it(r, R, t) in terms of the field-free basis {~J, .v(r, R, t) = La,,(t)~,,(r, R) " Substituting Eq. (7) into Eq. (1), multiplying both sides by ~1(r,R)=xj(R)lJij(r,R) and integrating over drdR, we find i Ifdaj.... To the extent that enough Floquet blocks are included to obtain convergence, all relevant pro- ·o.Z ·0.3 ·0.40!.-~--!--~"""'Z~~-!:-3-~...J4:-~-±-5~~~6:-~--:!7 R(OoI FIG. 7. Electronic-field representation of photodissociation in Hi with field...

Chu, Shih-I

1981-01-01T23:59:59.000Z

352

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

E-Print Network [OSTI]

must be nomalized to results from underground experiments. The present results are thus independent of any assumption about range-energy relations for muons in the earth and can be used by other workers to calibrate similar but less elaborate... decaying radioactively into stable particles, namely electrons and neutrinos. Since muons are charged they are easily detected in scintillation counters. Furthermore, since they are the only ionizing particles which do not interact with nuclear matter...

Durda, David Rudolph

1970-01-01T23:59:59.000Z

353

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing Zirconia NanoparticlesSmart Grocer Program Sign-upEnergyTricks Lead toEnergy Use

354

DSM savings verification through short-term pre-and-post energy monitoring at 90 facilities  

SciTech Connect (OSTI)

This paper summarizes the DSM impact results obtained from short-term energy measurements performed at sites monitored as part of the Commercial, Industrial and Agricultural (CIA) Retrofit Incentives Evaluation Program sponsored by the Pacific Gas & Electric Company. The DSM measures include those typically found in these sectors; i.e., lighting, motors, irrigation pumps and HVAC modifications. The most important findings from the site measurements are the estimated annual energy and demand savings. Although there may be large differences of projected energy savings for individual sites, when viewed in the aggregate the total energy savings for the program were found to be fairly comparable to engineering estimates. This paper describes the lessons learned from attempting in-situ impact evaluations of DSM savings under both direct and custom rebate approaches. Impact parameters of interest include savings under both direct and custom rebate approaches. Impact parameters of interest include gross first-year savings and load shape impacts. The major method discussed in this paper is short-term before/after field monitoring of affected end-uses; however, the complete impact evaluation method also includes a billing analysis component and a hybrid statistical/engineering model component which relies, in part, on the short-term end-use data.

Misuriello, H.

1994-12-31T23:59:59.000Z

355

The isospin quartic term in the kinetic energy of neutron-rich nucleonic matter  

E-Print Network [OSTI]

The energy of a free gas of neutrons and protons is well known to be approximately isospin parabolic with a negligibly small quartic term of only $0.45$ MeV at the saturation density of nuclear matter $\\rho_0=0.16/\\rm{fm}^3$. Using an isospin-dependent single-nucleon momentum distribution including a high (low) momentum tail (depletion) with its shape parameters constrained by recent high-energy electron scattering and medium-energy nuclear photodisintegration experiments as well as the state-of-the-art calculations of the deuteron wave function and the equation of state of pure neutron matter near the unitary limit within several modern microscopic many-body theories, we show for the first time that the kinetic energy of interacting nucleons in neutron-rich nucleonic matter has a significant quartic term of $7.18\\pm2.52\\,\\rm{MeV}$. Such a large quartic term has significant ramifications in determining the equation of state of neutron-rich nucleonic matter using both terrestrial and astrophysical observables.

Cai, Bao-Jun

2015-01-01T23:59:59.000Z

356

Proceedings of ICRC 2001: 3838 c Copernicus Gesellschaft 2001 Long-term cosmic ray intensity vs. solar proxies: A simple linear  

E-Print Network [OSTI]

intensity vs. solar proxies: A simple linear relation does not work K. Mursula1 , I. G. Usoskin2 , and G. A. Kovaltsov3 1 Department of Physical Sciences, FIN-90014 University of Oulu, Finland 2 Sodankyl¨a Geophysical Observatory (Oulu unit), FIN-90014 University of Oulu, Finland 3 Ioffe Physical-Technical Institute, St

Usoskin, Ilya G.

357

Preliminary/Sample Residential EE Loan Term Sheet and Underwriting Criteria (Appendix A of the Clean Energy Finance Guide, 3rd Edition)  

Broader source: Energy.gov [DOE]

Provides a sample or preliminary term sheet for single family residential energy efficiency loans. Author: Energy Efficiency Finance Corp.

358

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

E-Print Network [OSTI]

flow models for the US steel industry,” Energy 26, no. 2 (pdf Association for Iron and Steel Technology (AIST). 2010a.American BOF Roundup. Iron & Steel Technology. November.

Hasanbeigi, Ali

2012-01-01T23:59:59.000Z

359

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

SciTech Connect (OSTI)

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

360

ITP Energy Intensive Processes: Improved Heat Recovery in Biomass-Fired  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietip sheetK-4InFindingIR-2003-Transmission &50 1955 1960

Note: This page contains sample records for the topic "term 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

Comparison of International Energy Intensities across the G7 and other parts of Europe, including Ukraine  

Gasoline and Diesel Fuel Update (EIA)

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

362

Changes in Energy Intensity in the Manufacturing Sector 1985-1994  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 ImportsCubic Feet) Oil Changes in

363

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

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand Tables

364

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

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand1995 End-Use

365

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

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 6221,237 1,471Regional Wholesaleand1995

366

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (MillionCubic35775 84 8711757

367

Changes in Energy Intensity in the Manufacturing Sector 1985-1994  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522 542PeruCarbonThousandYear Jan

368

Changes in Energy Intensity in the Manufacturing Sector 1985-1994  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522 542PeruCarbonThousandYear Jan

369

Long-Term Modeling of Solar Energy: Analysis of Concentrating Solar Power (CSP) and PV Technologies  

SciTech Connect (OSTI)

This report presents an overview of research conducted on solar energy technologies and their implementation in the ObjECTS framework. The topics covered include financing assumptions and selected issues related to the integration of concentrating thermal solar power (CSP) and photovoltaics PV technologies into the electric grid. A review of methodologies for calculating the levelized energy cost of capital-intensive technologies is presented, along with sensitivity tests illustrating how the cost of a solar plant would vary depending on financing assumptions. An analysis of the integration of a hybrid concentrating thermal solar power (CSP) system into the electric system is conducted. Finally a failure statistics analysis for PV plants illustrates the central role of solar irradiance uncertainty in determining PV grid integration characteristics.

Zhang, Yabei; Smith, Steven J.

2007-08-16T23:59:59.000Z

370

DOBEIA-0202(83/4Q) Short-Term Energy Outlook Quarterly Projections  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy Outlook Quarterly

371

DOE/EIA-0202(84/1Q) Short-Term Energy Outlook Quarterly Projections  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)

372

DOE/EIA-0202(84/2QH Short-Term Energy Outlook Quarterly Projections  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)2QH

373

DOE/EIA-0202(84/3Q) Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)2QH3Q)

374

DOE/EIA-0202(84/4Q) Short-Term Energy Outlook Quarterly Projections  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P

375

DOE/EIA-0202(85/4Q) Short-Term Energy Outlook OBIS Quarterly  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)

376

DOE/EIA-0202(87/2Q) Energy Information Administration Short-Term  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)

377

DOE/EIA-0202(87/3Q) Energy Information Administration Short-Term  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)3Q)

378

DOE/EIA-0202(87/4Q) Energy Information Administration Short-Term  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)3Q)4Q)

379

DOE/EIA-0202(88/2Q) Energy Information Administration Short-Term  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy Information

380

DOE/EIA-0202(88/3Q) Energy Information Administration Short-Term  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy Information3Q)

Note: This page contains sample records for the topic "term 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

DOE/EIA-0202|83/2Q)-1 Short-Term Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 1

382

Short-term energy outlook, October 1998. Quarterly projections, 1998 4. quarter  

SciTech Connect (OSTI)

The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from October 1998 through December 1999. Values for third quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the October 1998 version of the Short-term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

NONE

1998-10-01T23:59:59.000Z

383

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

SciTech Connect (OSTI)

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

384

China's Building Energy Demand: Long-Term Implications from a Detailed Assessment  

SciTech Connect (OSTI)

We present here a detailed, service-based model of China’s building energy use, nested in the GCAM (Global Change Assessment Model) integrated assessment framework. Using the model, we explore long-term pathways of China’s building energy use and identify opportunities of reducing greenhouse gas emissions. The inclusion of a structural model of building energy demands within an integrated assessment framework represents a major methodological advance. It allows for a structural understanding of the drivers of building energy consumption while simultaneously considering the other human and natural system interactions that influence changes in the global energy system and climate. We also explore a range of different scenarios to gain insights into how China’s building sector might evolve and what the implications might be for improved building energy technology and carbon policies. The analysis suggests that China’s building energy growth will not wane anytime soon, although technology improvement will put downward pressure on this growth. Also, regardless of the scenarios represented, the growth will involve the continued, rapid electrification of the buildings sector throughout the century, and this transition will be accelerated by the implementation of carbon policy.

Eom, Jiyong; Clarke, Leon E.; Kim, Son H.; Kyle, G. Page; Patel, Pralit L.

2012-10-01T23:59:59.000Z

385

China's Building Energy Use: A Long-Term Perspective based on a Detailed Assessment  

SciTech Connect (OSTI)

We present here a detailed, service-based model of China's building energy use, nested in the GCAM (Global Change Assessment Model) integrated assessment framework. Using the model, we explore long-term pathways of China's building energy use and identify opportunities of reducing greenhouse gas emissions. The inclusion of a structural model of building energy demands within an integrated assessment framework represents a major methodological advance. It allows for a structural understanding of the drivers of building energy consumption while simultaneously considering the other human and natural system interactions that influence changes in the global energy system and climate. We also explore a range of different scenarios to gain insights into how China's building sector might evolve and what the implications might be for improved building energy technology and carbon policies. The analysis suggests that China's building energy growth will not wane anytime soon, although technology improvement will put downward pressure on this growth. Also, regardless of the scenarios represented, the growth will involve the continued, rapid electrification of the buildings sector throughout the century, and this transition will be accelerated by the implementation of carbon policy.

Eom, Jiyong; Clarke, Leon E.; Kim, Son H.; Kyle, G. Page; Patel, Pralit L.

2012-01-13T23:59:59.000Z

386

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

387

China-Medium and Long Term Energy Conservation Plan | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin:Energy InformationLake South Range Geothermal

388

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

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

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

389

QUARTER SHORT-TERM ENERGY OUTLOOK QUARTERLY PROJECTIONS ENERGY INFORMATION ADMINISTRATION  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S.Feet) Year Weekly7 (Released July1Q)

390

QUARTER SHORT-TERM ENERGY OUTLOOK QUARTERLY PROJECTIONS ENERGY INFORMATION ADMINISTRATION  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S.Feet) Year Weekly7 (Released

391

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October

392

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October‹

393

Short-Term Energy Outlook Supplement: Energy-weighted industrial production indices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1andOutlook4

394

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

395

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

396

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

397

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

398

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

399

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

400

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "term 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

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

402

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

403

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

404

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

405

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

406

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

407

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

408

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

409

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

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

410

Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015 Residentialdrivers to pullEconomic AssumptionsMarket

411

Short Term Energy Monitoring: What Does This Information Mean to the Facility Energy Manager?  

E-Print Network [OSTI]

off. Major results for this test were: Lighting: The total demand level of all lighting was found to be about 277 kW. The lighting energy used during a typical academic workweek in the Engineering Physics Building-Office side was determined... 3). EPB teaching side has a higher demand, 2 10 kW than the EPB office side at 67 kW. After the lights, AHUs and pumps were shut off in the building, a baseload of 100 kW and 25 kW were found for the teaching and office sides respectively...

Bryant, J. A.; Carlson, K. A.

2000-01-01T23:59:59.000Z

412

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 (OSTI)

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

413

DOE/EIA-0202(88/1Q) Energy Information Administration Short-Term  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term

414

Energy Consumption in Wireless Sensor Networks is a fundamental issue in terms of functionality and network lifetime. Minimization  

E-Print Network [OSTI]

ABSTRACT Energy Consumption in Wireless Sensor Networks is a fundamental issue in terms of functionality and network lifetime. Minimization of energy consumption by applying optimization techniques setup. Application driven profiling of energy consumption at the node level is a useful tool for optimal

Vouyioukas, Demosthenes

415

Development and characterization of a new MgSO4-zeolite composite for long-term thermal energy storage  

E-Print Network [OSTI]

the material. For that specific purpose, a new thermal energy storage composite material has been developed expanded structure for MgSO4, with energy densities of 150-400 kWh.m-3 at a storage temperature compatible. Keywords: thermal energy storage; thermochemical process; long-term storage; zeolites; magnesium sulphate

416

eShare: A Capacitor-Driven Energy Storage and Sharing Network for Long-Term Operation  

E-Print Network [OSTI]

eShare: A Capacitor-Driven Energy Storage and Sharing Network for Long-Term Operation Ting Zhu, Yu, Twin Cities {tzhu, yugu, tianhe, zhzhang}@cs.umn.edu Abstract The ability to move energy around makes it feasible to build distributed energy storage systems that can robustly ex- tend the lifetime of networked

Zhang, Zhi-Li

417

Impact of Dose to the Bladder Trigone on Long-Term Urinary Function After High-Dose Intensity Modulated Radiation Therapy for Localized Prostate Cancer  

SciTech Connect (OSTI)

Purpose: To determine the potential association between genitourinary (GU) toxicity and planning dose–volume parameters for GU pelvic structures after high-dose intensity modulated radiation therapy in localized prostate cancer patients. Methods and Materials: A total of 268 patients who underwent intensity modulated radiation therapy to a prescribed dose of 86.4 Gy in 48 fractions during June 2004-December 2008 were evaluated with the International Prostate Symptom Score (IPSS) questionnaire. Dose–volume histograms of the whole bladder, bladder wall, urethra, and bladder trigone were analyzed. The primary endpoint for GU toxicity was an IPSS sum increase ?10 points over baseline. Univariate and multivariate analyses were done by the Kaplan-Meier method and Cox proportional hazard models, respectively. Results: Median follow-up was 5 years (range, 3-7.7 years). Thirty-nine patients experienced an IPSS sum increase ?10 during follow-up; 84% remained event free at 5 years. After univariate analysis, lower baseline IPSS sum (P=.006), the V90 of the trigone (P=.006), and the maximal dose to the trigone (P=.003) were significantly associated with an IPSS sum increase ?10. After multivariate analysis, lower baseline IPSS sum (P=.009) and increased maximal dose to the trigone (P=.005) remained significantly associated. Seventy-two patients had both a lower baseline IPSS sum and a higher maximal dose to the trigone and were defined as high risk, and 68 patients had both a higher baseline IPSS sum and a lower maximal dose to the trigone and were defined as low risk for development of an IPSS sum increase ?10. Twenty-one of 72 high-risk patients (29%) and 5 of 68 low-risk patients (7%) experienced an IPSS sum increase ?10 (P=.001; odds ratio 5.19). Conclusions: The application of hot spots to the bladder trigone was significantly associated with relevant changes in IPSS during follow-up. Reduction of radiation dose to the lower bladder and specifically the bladder trigone seems to be associated with a reduction in late GU toxicity.

Ghadjar, Pirus; Zelefsky, Michael J.; Spratt, Daniel E. [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Munck af Rosenschöld, Per; Oh, Jung Hun; Hunt, Margie [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Kollmeier, Marisa [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Happersett, Laura; Yorke, Ellen; Deasy, Joseph O. [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York (United States); Jackson, Andrew, E-mail: jacksona@mskcc.org [Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York (United States)

2014-02-01T23:59:59.000Z

418

Definition of Total Energy budget equation in terms of moist-air Enthalpy surface flux  

E-Print Network [OSTI]

Uncertainty exists concerning the proper formulation of surface heat fluxes, namely the sum of "sensible" and "latent" heat fluxes, and in fact concerning these two fluxes if they are considered as separate fluxes. In fact, eddy flux of moist-air energy must be defined as the eddy transfer of moist-air specific enthalpy ($\\overline{w' h'}$), where the specific enthalpy ($h$) is equal to the internal energy of moist air plus the pressure divided by the density (namely $h = e_{\\rm int} + p/\\rho$). The fundamental issue is to compute this local (specific) moist-air enthalpy ($h$), and in particular to determine absolute reference value of enthalpies for dry air and water vapour $(h_d)_{\\rm ref}$ and $(h_v)_{\\rm ref}$. New results shown in Marquet (QJRMS 2015, arXiv:1401.3125) are based on the Third-law of Thermodynamics and can allow these computations. In this note, this approach is taken to show that Third-law based values of moist-air enthalpy fluxes is the sum of two terms. These two terms are similar to wha...

Marquet, Pascal

2015-01-01T23:59:59.000Z

419

Radiation Related Terms Basic Terms  

E-Print Network [OSTI]

Radiation Related Terms Basic Terms Radiation Radiation is energy in transit in the form of high not carry enough energy to separate molecules or remove electrons from atoms. Ionizing radiation Ionizing radiation is radiation with enough energy so that during an interaction with an atom, it can remove tightly

Vallino, Joseph J.

420

Wave Functions and Energy Terms of the SCHRÖdinger Equation with Two-Center Coulomb Plus Harmonic Oscillator Potential  

E-Print Network [OSTI]

Schr\\"odinger equation for two center Coulomb plus harmonic oscillator potential is solved by the method of ethalon equation at large intercenter separations. Asymptotical expansions for energy term and wave function are obtained in the analytical form.

D. Matrasulov

1998-04-17T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

Short-Term Energy Outlook Supplement: Uncertainties in the Short-Term Global Petroleum and Other Liquids Supply Forecast  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer 2013

422

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

SciTech Connect (OSTI)

Since 2006, China has set goals of reducing energy intensity, emissions, and pollutants in multiple guidelines and in the Five Year Plans. Various strategies and measures have then been taken to improve the energy efficiency in all sectors and to reduce pollutants. Since controlling energy, CO{sub 2} emissions, and pollutants falls under the jurisdiction of different government agencies in China, many strategies are being implemented to fulfill only one of these objectives. Co-controls or integrated measures could simultaneously reduce greenhouse gas (GHG) emissions and criteria air pollutant emissions. The targets could be met in a more cost effective manner if the integrated measures can be identified and prioritized. This report provides analysis and insights regarding how these targets could be met via co-control measures focusing on both CO{sub 2} and SO{sub 2} emissions in the cement, iron &steel, and power sectors to 2030 in China. An integrated national energy and emission model was developed in order to establish a baseline scenario that was used to assess the impact of actions already taken by the Chinese government as well as planned and expected actions. In addition, CO{sub 2} mitigation scenarios and SO{sub 2} control scenarios were also established to evaluate the impact of each of the measures and the combined effects. In the power sector, although the end of pipe SO{sub 2} control technology such as flue gas desulfurization (FGD) has the largest reduction potential for SO{sub 2} emissions, other CO{sub 2} control options have important co-benefits in reducing SO{sub 2} emissions of 52.6 Mt of SO{sub 2} accumulatively. Coal efficiency improvements along with hydropower, renewable and nuclear capacity expansion will result in more than half of the SO{sub 2} emission reductions as the SO{sub 2} control technology through 2016. In comparison, the reduction from carbon capture and sequestration (CCS) is much less and has negative SO{sub 2} reductions potential. The expanded biomass generation scenario does not have significant potential for reducing SO{sub 2} emissions, because of its limited availability. For the cement sector, the optimal co-control strategy includes accelerated adoption of energy efficiency measures, decreased use of clinker in cement production, increased use of alternative fuels, and fuel-switching to biomass. If desired, additional SO{sub 2} mitigation could be realized by more fully adopting SO{sub 2} abatement mitigation technology measures. The optimal co-control scenario results in annual SO{sub 2} emissions reductions in 2030 of 0.16 Mt SO{sub 2} and annual CO{sub 2} emissions reductions of 76 Mt CO{sub 2}. For the iron and steel sector, the optimal co-control strategy includes accelerated adoption of energy efficiency measures, increased share of electric arc furnace steel production, and reduced use of coal and increased use of natural gas in steel production. The strategy also assumes full implementation of sinter waste gas recycling and wet desulfurization. This strategy results in annual SO{sub 2} emissions reductions in 2030 of 1.3 Mt SO{sub 2} and annual CO{sub 2} emissions reductions of 173 Mt CO{sub 2}.

Zhou, Nan; Price, Lynn; Zheng, Nina; Ke, Jing; Hasanbeigi, Ali

2011-10-15T23:59:59.000Z

423

Long-Term US Industrial Energy Use and CO2 Emissions  

SciTech Connect (OSTI)

We present a description and scenario results from our recently-developed long-term model of United States industrial sector energy consumption, which we have incorporated as a module within the ObjECTS-MiniCAM integrated assessment model. This new industrial model focuses on energy technology and fuel choices over a 100 year period and allows examination of the industrial sector response to climate policies within a global modeling framework. A key challenge was to define a level of aggregation that would be able to represent the dynamics of industrial energy demand responses to prices and policies, but at a level that remains tractable over a long time frame. In our initial results, we find that electrification is an important response to a climate policy, although there are services where there are practical and economic limits to electrification, and the ability to switch to a low-carbon fuel becomes key. Cogeneration of heat and power using biomass may also play a role in reducing carbon emissions under a policy constraint.

Wise, Marshall A.; Sinha, Paramita; Smith, Steven J.; Lurz, Joshua P.

2007-12-03T23:59:59.000Z

424

Long-Term Planning for Nuclear Energy Systems Under Deep Uncertainty  

E-Print Network [OSTI]

Fleet energy production and demand scenario (red) . . . . .Fleet energy production and demand scenario (red) . . . . .mass . . . . . . . . . . Fleet energy production and demand

Kim, Lance Kyungwoo

2011-01-01T23:59:59.000Z

425

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

E-Print Network [OSTI]

Administration), 2000a, Monthly energy review July 2000 (EIAEIA's July 2000 Monthly Energy Review (MER) (US DOE 2000a).Administration’s Monthly Energy Review series. The study

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

2002-01-01T23:59:59.000Z

426

Composite dark energy: cosmon models with running cosmological term and gravitational coupling  

E-Print Network [OSTI]

In the recent literature on dark energy (DE) model building we have learnt that cosmologies with variable cosmological parameters can mimic more traditional DE pictures exclusively based on scalar fields (e.g. quintessence and phantom). In a previous work we have illustrated this situation within the context of a renormalization group running cosmological term, Lambda. Here we analyze the possibility that both the cosmological term and the gravitational coupling, G, are running parameters within a more general framework (a variant of the so-called ``LXCDM models'') in which the DE fluid can be a mixture of a running Lambda and another dynamical entity X (the ``cosmon'') which may behave quintessence-like or phantom-like. We compute the effective EOS parameter, w, of this composite fluid and show that the LXCDM can mimic to a large extent the standard LCDM model while retaining features hinting at its potential composite nature (such as the smooth crossing of the cosmological constant boundary w=-1). We further argue that the LXCDM models can cure the cosmological coincidence problem. All in all we suggest that future experimental studies on precision cosmology should take seriously the possibility that the DE fluid can be a composite medium whose dynamical features are partially caused and renormalized by the quantum running of the cosmological parameters.

Javier Grande; Joan Sola; Hrvoje Stefancic

2006-12-16T23:59:59.000Z

427

Using Social Media for Long-Term Branding | Department of Energy  

Office of Environmental Management (EM)

for Long-Term Branding Using Social Media for Long-Term Branding Better Buildings Residential Network Marketing and Outreach Peer Exchange Call Series: Using Social Media for...

428

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

E-Print Network [OSTI]

90%. SO 2 emission intensity of coal-fired power plants byCoal Efficiency + Decarbonization Power Sector CO 2 Emissions (SO 2 emissions from the existing coal-fired power plants is

Zhou, Nan

2013-01-01T23:59:59.000Z

429

Renewable Energy Finance Tracking Initiative (REFTI): Snapshot of Recent Geothermal Financing Terms, Fourth Quarter 2009 - Second Half 2011  

SciTech Connect (OSTI)

This report is a review of geothermal project financial terms as reported in the National Renewable Energy Laboratory's Renewable Energy Finance Tracking Initiative (REFTI). The data were collected over seven analysis periods from the fourth quarter (Q4) of 2009 to the second half (2H) of 2011.

Lowder, T.; Hubbell, R.; Mendelsohn, M.; Cory, K.

2012-09-01T23:59:59.000Z

430

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

E-Print Network [OSTI]

Agency (IEA). 2009. World Energy Outlook 2009. Paris: OECDscenario in the 2009 World Energy Outlook (IEA 2009). Table

Zhou, Nan

2013-01-01T23:59:59.000Z

431

Short-Term Energy Monitoring (STEM): Application of the PSTAR method to a residence in Fredericksburg, Virginia  

SciTech Connect (OSTI)

This report describes a project to assess the thermal quality of a residential building based on short-term tests during which a small number of data channels are measured. The project is called Short- Term Energy Monitoring (STEM). Analysis of the data provides extrapolation to long-term performance. The test protocol and analysis are based on a unified method for building simulations and short-term testing called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance is best satisfied in the least squares sense; hence, the name PSTAR. The mathematical formulation of PSTAR is detailed in earlier reports. This report describes the short-term tests and data analysis performed using the PSTAR method on a residential building in Fredricksburg, Virginia. The results demonstrate the ability of the PSTAR method to provide a realistically complex thermal model of a building, and determine from short-term tests the statics as well as the dynamics of a building, including solar dynamics. 10 refs., 12 figs., 2 tabs.

Subbarao, K.; Burch, J.D.; Hancock, C.E.; Lekov, A.; Balcomb, J.D.

1988-09-01T23:59:59.000Z

432

Long-Term Planning for Nuclear Energy Systems Under Deep Uncertainty  

E-Print Network [OSTI]

A Brief History of Nuclear Energy . . . . . . . . NuclearBrief History of Nuclear Energy The history of nuclear powerRisk The history of nuclear energy to date reflects

Kim, Lance Kyungwoo

2011-01-01T23:59:59.000Z

433

THEORETICAL STUDIES IN LONG-TERM THERMAL ENERGY STORAGE IN AQUIFERS  

E-Print Network [OSTI]

Mathematical Modeling of Thermal Energy Storage in Aquifers.of Aquifer Thermal Energy Storage Workshop, Lawrencewithin the Seasonal Thermal Energy Storage program managed

Tsang, C.F.

2013-01-01T23:59:59.000Z

434

Long-Term Planning for Nuclear Energy Systems Under Deep Uncertainty  

E-Print Network [OSTI]

5.3.2 Nuclear Energy System Model . . . . . . . . . . .Brief History of Nuclear Energy . . . . . . . . Nuclear FuelModeling . . . . . . . . . . . . . 5.3 Nuclear Energy System

Kim, Lance Kyungwoo

2011-01-01T23:59:59.000Z

435

THEORETICAL STUDIES IN LONG-TERM THERMAL ENERGY STORAGE IN AQUIFERS  

E-Print Network [OSTI]

Mathematical Modeling of Thermal Energy Storage in Aquifers.of Aquifer Thermal Energy Storage Workshop, Lawrencethe Seasonal Thermal Energy Storage program managed by

Tsang, C.F.

2013-01-01T23:59:59.000Z

436

THEORETICAL STUDIES IN LONG-TERM THERMAL ENERGY STORAGE IN AQUIFERS  

E-Print Network [OSTI]

Mathematical Modeling of Thermal Energy Storage in Aquifers.Proceedings of Aquifer Thermal Energy Storage Workshop,within the Seasonal Thermal Energy Storage program managed

Tsang, C.F.

2013-01-01T23:59:59.000Z

437

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

438

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

E-Print Network [OSTI]

consuming more energy than rural households, especiallyeffort and energy. In addition, the rural population stillenergy demand growth. In addition, incomes are rising for both urban and rural

Zhou, Nan

2013-01-01T23:59:59.000Z

439

Application of Inverse Models for Long-Term-Energy-Monitoring in the German Enbau: Monitor Project  

E-Print Network [OSTI]

in order to pave the way for energy savings and utilizing solar energy in non residential buildings, the german federal ministry of economics and technology (bmwi) has established an energy research program called "energy optimized building...

Neumann, C.; Herkel, S.; Lohnert, G.; Voss, K.; Wagner, A.

2006-01-01T23:59:59.000Z

440

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. Böni

2010-09-30T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

Accelerators for Intensity Frontier Research  

SciTech Connect (OSTI)

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

442

On the incorporation of cubic and hexagonal interfacial energy anisotropy in phase field models using higher order tensor terms  

E-Print Network [OSTI]

In this paper, we show how to incorporate cubic and hexagonal anisotropies in interfacial energies in phase field models; this incorporation is achieved by including upto sixth rank tensor terms in the free energy expansion, assuming that the free energy is only a function of coarse grained composition, its gradient, curvature and aberration. We derive the number of non-zero and independent components of these tensors. Further, by demanding that the resultant interfacial energy is positive definite for inclusion of each of the tensor terms individually, we identify the constraints imposed on the independent components of these tensors. The existing results in the invariant group theory literature can be used to simplify the process of construction of some (but not all) of the higher order tensors. Finally, we derive the relevant phase field evolution equations.

E. S. Nani; M. P. Gururajan

2014-04-13T23:59:59.000Z

443

Energy Department Issues Report to Congress on Long-Term Stewardship...  

National Nuclear Security Administration (NNSA)

Apply for Our Jobs Our Jobs Working at NNSA Blog Home Media Room Press Releases Energy Department Issues Report to Congress on ... Energy Department Issues Report to...

444

Long-Term Planning for Nuclear Energy Systems Under Deep Uncertainty  

E-Print Network [OSTI]

report, National Nuclear Security Administration, Departmentproliferation and security risks of nuclear energy systemsthe proliferation and security risk posed by nuclear energy

Kim, Lance Kyungwoo

2011-01-01T23:59:59.000Z

445

Long-Term Planning for Nuclear Energy Systems Under Deep Uncertainty  

E-Print Network [OSTI]

79 Minimum NU case: depleted uranium inventory and naturalTerm Management and Use of Depleted Uranium Hexflouride.Converter Fast Reactor Depleted Uranium Early fast reactor

Kim, Lance Kyungwoo

2011-01-01T23:59:59.000Z

446

IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 24, NO. 1, MARCH 2009 125 Short-Term Prediction of Wind Farm Power  

E-Print Network [OSTI]

IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 24, NO. 1, MARCH 2009 125 Short-Term Prediction of Wind Farm Power: A Data Mining Approach Andrew Kusiak, Member, IEEE, Haiyang Zheng, and Zhe Song, Student Member, IEEE Abstract--This paper examines time series models for predicting the power of a wind

Kusiak, Andrew

447

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

E-Print Network [OSTI]

David Kline of the National Renewable Energy Laboratory foralong with hydropower, renewable and nuclear capacityCapacity Accelerated Renewable Generation Power Sector CO2

Zhou, Nan

2013-01-01T23:59:59.000Z

448

Intensity Frontier: More Information | U.S. DOE Office of Science...  

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

Intensity Frontier Intensity Frontier: More Information High Energy Physics (HEP) HEP Home About Research Science Drivers of Particle Physics Energy Frontier Intensity Frontier...

449

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

450

Postdoctoral Researcher Energy Efficient Networking Up to 2 year fixed term contract  

E-Print Network [OSTI]

is recruiting a postdoctoral researcher to work on the energy- efficient design of wired IP networks, as part

Humphrys, Mark

451

Efficient, sustainable production of molecular hydrogen -a promising alternative to batteries in terms of energy storage -is still an unsolved problem. Implementation of direct water splitting  

E-Print Network [OSTI]

in terms of energy storage - is still an unsolved problem. Implementation of direct water splitting usingEfficient, sustainable production of molecular hydrogen - a promising alternative to batteries

KuÂ?el, Petr

452

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

453

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

SciTech Connect (OSTI)

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

454

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

E-Print Network [OSTI]

The Large Hadron Collider (LHC) is designed to collide two proton beams with unprecedented particle energy of 7 TeV. Each beam comprises 2808 bunches and the separation between two neighboring bunches is 25 ns. The energy stored in each beam is 362 MJ, sufficient to melt 500 kg 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...

Tahir, N A; Shutov, A; Schmidt, R; Piriz, A R

2012-01-01T23:59:59.000Z

455

Report of the Snowmass 2013 Computing Frontier working group on Lattice Field Theory -- Lattice field theory for the energy and intensity frontiers: Scientific goals and computing needs  

E-Print Network [OSTI]

This is the report of the Computing Frontier working group on Lattice Field Theory prepared for the proceedings of the 2013 Community Summer Study ("Snowmass"). We present the future computing needs and plans of the U.S. lattice gauge theory community and argue that continued support of the U.S. (and worldwide) lattice-QCD effort is essential to fully capitalize on the enormous investment in the high-energy physics experimental program. We first summarize the dramatic progress of numerical lattice-QCD simulations in the past decade, with some emphasis on calculations carried out under the auspices of the U.S. Lattice-QCD Collaboration, and describe a broad program of lattice-QCD calculations that will be relevant for future experiments at the intensity and energy frontiers. We then present details of the computational hardware and software resources needed to undertake these calculations.

T. Blum; R. S. Van de Water; D. Holmgren; R. Brower; S. Catterall; N. Christ; A. Kronfeld; J. Kuti; P. Mackenzie; E. T. Neil; S. R. Sharpe; R. Sugar

2013-10-23T23:59:59.000Z

456

CO sub 2 emissions from developing countries: Better understanding the role of energy in the long term  

SciTech Connect (OSTI)

This study examines energy use and carbon emissions in the developing world. Based on analyses of present energy-use patterns in 17 developing nations, this study presents high emissions and low emissions scenarios for these nations in the year 2025. These nations combined account for two thirds of the energy-related carbon emissions presently generated in the developing world. The analysis reveals that energy demand expands dramatically by 2025 and grows increasingly carbon intensive. In the high emissions scenario, carbon emissions from these countries increase four-fold. The greatest share of carbon stems from the industrial sector in 2025, followed by the transport and residential sectors. With the implementation of policies aimed at reducing CO{sub 2} emissions, the low emissions scenario reduces the level of carbon in 2025 by 20 percent relative to the high emissions scenario figure. These nations achieve 80 percent of the carbon reductions by improving the efficiency of energy production and use and the remaining 20 percent by implementing fuel-switching measures. Of all the sectors examined, the industrial sector offers the greatest opportunity for absolute carbon savings (39 percent of the total). This summary is volume one of five volumes.

Sathaye, J.; Ketoff, A.

1991-02-01T23:59:59.000Z

457

Long-Term Planning for Nuclear Energy Systems Under Deep Uncertainty  

E-Print Network [OSTI]

Material . . . . . Generation IV International ForumDepartment of Energy and Generation IV Interational Forum,are based on the eight Generation IV International Forum (

Kim, Lance Kyungwoo

2011-01-01T23:59:59.000Z

458

Development and Update of Models for Long-Term Energy and GHG...  

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

(VISION) model's over 300 users: DOE - Vehicle Technologies Program, Hydrogen and Fuel Cells Program, Biofuels Program, Policy Office, Energy Information Administration ...

459

A COMPARISON OF THE INTENSITIES AND ENERGIES OF GRADUAL SOLAR ENERGETIC PARTICLE EVENTS WITH THE DYNAMICAL PROPERTIES OF ASSOCIATED CORONAL MASS EJECTIONS  

SciTech Connect (OSTI)

Gradual solar energetic particle (SEP) events observed at 1 AU are produced by shocks driven by coronal mass ejections (CMEs). Characterizations of the remotely imaged CMEs and of their associated SEP events observed in situ can be used to increase our ability to forecast SEP events and to understand better the physical connections between the two phenomena. We carry out a statistical comparison of the peak intensities Ip20, of 120 western-hemisphere 20 MeV SEP events with those of their associated CMEs observed by the Solar and Heliospheric Observatory/Large Angle and Spectrometric Coronagraph over the past solar cycle. For a subset of 96 events observed with the EPACT instrument on the Wind spacecraft we also compare the SEP 2 MeV peak intensities Ip2, power-law energy spectral exponents {gamma}, total SEP energies Esep, and 2 MeV nuc{sup -1} H/He ratios with CME properties. New analyses of white-light CME images enable us to improve calculations of the CME masses and potential energies and then to determine two values of their kinetic energies based on frontal V (fr) and center-of-mass V (cm) speeds. Despite considerable scatter in the SEP and CME data, the large dynamical ranges of both the SEP and CME parameters allow us to determine statistical trends in the comparisons of the logs of the parameters. Ip2, Ip20, and Esep are significantly correlated with CME kinetic energies, masses, and speeds, while {gamma} trends lower (harder). Those correlations are higher with V (fr) than with V (cm) parameters, indicating a less significant role for the body of the CME than for the CME front in SEP production. The high ratios ({>=}10%) of Esep to CME energies found by Mewaldt et al. are confirmed, and the fits are consistent with a linear relationship between the two energies. The 2 MeV nuc{sup -1} H/He ratios decrease with increasing CME speeds, which may be an effect of shock geometry. We discuss several factors that limit the estimates of both the SEP and CME energies.

Kahler, S. W. [Air Force Research Laboratory, Space Vehicles Directorate, 3550 Aberdeen Ave., Kirtland AFB, NM 87117 (United States); Vourlidas, A., E-mail: AFRL.RVB.PA@kirtland.af.mil [Space Sciences Division, Naval Research Laboratory, Washington, DC 20375 (United States)

2013-06-01T23:59:59.000Z

460

EDR: An Energy-Aware Runtime Load Distribution System for Data-Intensive Applications in the Cloud  

SciTech Connect (OSTI)

Data centers account for a growing percentage of US power consumption. Energy e_ciency is now a first-class design constraint for the data centers that support cloud services. Service providers must distribute their data e_ciently across multiple data centers. This includes creation of data replicas that provide multiple copies of data for e_cient access. However, selecting replicas to maximize performance while minimizing energy waste is an open problem. State of the art replica selection approaches either do not address energy, lack scalability and/or are vulnerable to crashes due to use of a centralized coordinator. Therefore, we propose, develop and evaluate a simple cost-oriented decentralized replica selection system named EDR, implemented with two distributed optimization algorithms

Li, Bo; Song, Shuaiwen; Bezakova, Ivona; Cameron, Kirk

2013-09-23T23:59:59.000Z

Note: This page contains sample records for the topic "term 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

American Solar Energy Society Proc. ASES Annual Conference, Raleigh, NC, 2011 SHORT-TERM IRRADIANCE VARIABILITY  

E-Print Network [OSTI]

© American Solar Energy Society ­ Proc. ASES Annual Conference, Raleigh, NC, 2011 SHORT, as hypothesized in Hoff and Perez's optimum point. #12;© American Solar Energy Society ­ Proc. ASES Annual is the factor that determines whether the combined relative fluctuations of two solar systems add up when

Perez, Richard R.

462

The Long-Term Economic Impacts of Implementing the Energy Security Leadership Council's  

E-Print Network [OSTI]

. First, higher real GDP and income levels mean that the consumption of energy and oil will be higher, all flows in the economy, such as energy use, with macroeconomic aggregates, such as GDP, consumption, the LIFT model was used to simulate the impact of its policies compared to a LIFT baseline projection

Hill, Wendell T.

463

Synthesis of energy technology medium-term projections Alternative fuels for transport and low carbon electricity  

E-Print Network [OSTI]

carbon electricity generation: A technical note Robert Gross Ausilio Bauen ICEPT October 2005 #12;Alternative fuels for transport and electricity generation: A technical note on costs and cost projections ................................................................................................................. 3 Current and projected medium-term costs of electricity generating technologies....... 4 Biofuels

464

Intensive Observation  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFunInfrared Land SurfaceVirus-InfectedIntelligent Coatings forIntel®

465

Water: May be the Best Near-Term Benefit and Driver of a Robust Wind Energy Future (Poster)  

SciTech Connect (OSTI)

Water may be the most critical natural resource variable that affects the selection of generation options in the next decade. Extended drought in the western United States and more recently in the Southeast has moved water management and policy to the forefront of the energy options discussions. Recent climate change studies indicate that rising ambient temperatures could increase evapotranspiration by more than 25% to 30% in large regions of the country. Increasing demand for electricity, and especially from homegrown sources, inevitably will increase our thermal fleet, which consumes 400 to 700 gal/MWh for cooling. Recovering the vast oil shale resources in the West (one of the energy options discussed) is water intensive and threatens scarce water supplies. Irrigation for the growing corn ethanol industry requires 1,000 to 2,000 gallons of water for 1 gallon of production. Municipalities continue to grow and drive water demands and emerging constrained market prices upward. As illustrated by the 20% Wind Energy by 2030 analysis, wind offers an important mitigation opportunity: a 4-trillion-gallon water savings. This poster highlights the emerging constrained water situation in the United States and presents the case for wind energy as one of the very few means to ameliorate the emerging water wars in various U.S. regions.

Flowers, L.; Reategui, S.

2009-05-01T23:59:59.000Z

466

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

467

Postdoctoral Researcher Energy Efficient Networking Up to 2 year fixed term contract  

E-Print Network [OSTI]

Institute in Dublin City University is recruiting a postdoctoral researcher to work on the energy-efficient design of wired IP networks, as part of the EU-funded ECONET Integrated Project (http

Humphrys, Mark

468

Achieving A Long Term Business Impact by Improving the Energy Effectiveness and Reliability of Electric Motors  

E-Print Network [OSTI]

Over 100,000 electric motors drive the production equipment throughout a large chemical company. The energy-efficiency and reliability of these motors during their entire life have a decided impact on the company's manufacturing costs and production...

Whelan, C. D.

469

Renewables Intermittency: Operational Limits and Implications for Long-Term Energy System Models  

E-Print Network [OSTI]

In several regions of the world, the share of intermittent renewables (such as wind and solar PV) in electricity generation is rapidly increasing. The current share of these renewable energy sources (RES) can still more ...

Delarue, E.

470

Money versus Time: Evaluation of Flow Control in Terms of Energy Consumption and Convenience  

E-Print Network [OSTI]

Flow control with the goal of reducing the skin friction drag on the fluid-solid interface is an active fundamental research area, motivated by its potential for significant energy savings and reduced emissions in the transport sector. Customarily, the performance of drag reduction techniques in internal flows is evaluated under two alternative flow conditions, i.e. at constant mass flow rate or constant pressure gradient. Successful control leads to reduction of drag and pumping power within the former approach, whereas the latter leads to an increase of the mass flow rate and pumping power. In practical applications, however, money and time define the flow control challenge: a compromise between the energy expenditure (money) and the corresponding convenience (flow rate) achieved with that amount of energy has to be reached so as to accomplish a goal which in general depends on the specific application. Based on this idea, we derive two dimensionless parameters which quantify the total energy consumption an...

Frohnapfel, Bettina; Quadrio, Maurizio

2012-01-01T23:59:59.000Z

471

Local government involvement in long term resource planning for community energy systems. Demand side management  

SciTech Connect (OSTI)

A program was developed to coordinate governmental, research, utility, and business energy savings efforts, and to evaluate future potential actions, based on actual field data obtained during the implementation of Phase I of the State Resource Plan. This has lead to the establishment of a state conservation and energy efficiency fund for the purpose of establishing a DSM Program. By taking a state wide perspective on resource planning, additional savings, including environmental benefits, can be achieved through further conservation and demand management. This effort has already blossomed into a state directive for DSM programs for the natural gas industry.

Not Available

1992-03-01T23:59:59.000Z

472

Local government involvement in long term resource planning for community energy systems  

SciTech Connect (OSTI)

A program was developed to coordinate governmental, research, utility, and business energy savings efforts, and to evaluate future potential actions, based on actual field data obtained during the implementation of Phase I of the State Resource Plan. This has lead to the establishment of a state conservation and energy efficiency fund for the purpose of establishing a DSM Program. By taking a state wide perspective on resource planning, additional savings, including environmental benefits, can be achieved through further conservation and demand management. This effort has already blossomed into a state directive for DSM programs for the natural gas industry.

Not Available

1992-03-01T23:59:59.000Z

473

Using Social Media for Long-Term Branding | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEMUsedUserUsingelectronEnergy

474

BLM Manual 2805: Terms and Conditions for FLPMA Grants | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 EastMaine: EnergyAustin Energy Place:Guidance Documents Website: Applying for

475

OSTIblog Terms of Use | OSTI, US Dept of Energy, Office of Scientific and  

Office of Scientific and Technical Information (OSTI)

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

476

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

SciTech Connect (OSTI)

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

477

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

SciTech Connect (OSTI)

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

478

A Solar Energy System for Long-Term Deployment of AUVs David A. Patch  

E-Print Network [OSTI]

feasible, is politically, an unsatisfactory solution. Both aluminum- air and zinc-air semi-fuel cells have). The AUVs developed, therefore, were not as constrained to meet the low cost requirements necessary internal systems vs. energy available for mission specific subsystems. If mission endurance exceeds

479

Converging approximations for the calculation of the energy in terms of Planck's constant (*)  

E-Print Network [OSTI]

V is positive semi-definite it can be shown [1] that the values EnM make an increasing sequence, combined with Padé approximants, can provide the calculation of eigen- energies of a quantum system sequence of upper bounds when V is negative semi- definite. In both cases the main part of the proof

Paris-Sud XI, Université de

480

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

SciTech Connect (OSTI)

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

Note: This page contains sample records for the topic "term energy intensity" from the National Library of EnergyBeta (NLEBeta).
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481

Coal-Based Oxy-Fuel System Evaluation and Combustor Development; Oxy-Fuel Turbomachinery Development for Energy Intensive Industrial Applications  

SciTech Connect (OSTI)

Clean Energy Systems, Inc. (CES) partnered with the U.S. Department of Energy’s National Energy Technology Laboratory in 2005 to study and develop a competing technology for use in future fossil-fueled power generation facilities that could operate with near zero emissions. CES’s background in oxy-fuel (O-F) rocket technology lead to the award of Cooperative Agreement DE-FC26-05NT42645, “Coal-Based Oxy-Fuel System Evaluation and Combustor Development,” where CES was to first evaluate the potential of these O-F power cycles, then develop the detailed design of a commercial-scale O-F combustor for use in these clean burning fossil-fueled plants. Throughout the studies, CES found that in order to operate at competitive cycle efficiencies a high-temperature intermediate pressure turbine was required. This led to an extension of the Agreement for, “Oxy-Fuel Turbomachinery Development for Energy Intensive Industrial Applications” where CES was to also develop an intermediate-pressure O-F turbine (OFT) that could be deployed in O-F industrial plants that capture and sequester >99% of produced CO2, at competitive cycle efficiencies using diverse fuels. The following report details CES’ activities from October 2005 through March 2013, to evaluate O-F power cycles, develop and validate detailed designs of O-F combustors (main and reheat), and to design, manufacture, and test a commercial-scale OFT, under the three-phase Cooperative Agreement.

Hollis, Rebecca

2013-03-31T23:59:59.000Z

482

Definition of Energy Efficiency  

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

the energy efficiency effects. Most of what is defined as energy efficiency is actually energy intensity. Energy intensity is the ratio of energy consumption to some measure of...

483

U.S.-India Coal Working Group Terms of Reference | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of EnergyofProject is on Track |Weatherized|Energy-Water Nexus | Department

484

Dynamics of the UK Natural Gas Industry: System Dynamics Modelling and Long-Term Energy Policy Analysis  

E-Print Network [OSTI]

www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R N O N -T E C H N IC A L S U M M A R Y DYNAMICS OF THE UK NATURAL GAS INDUSTRY: SYSTEM DYNAMICS MODELLING AND LONG-TERM ENERGY POLICY ANALYSIS EPRG Working Paper 0913... Cambridge Working Paper in Economics 0922 Kong Chyong Chi , David M. Reiner and William J. Nuttall The UK offshore natural gas and oil industry has a long and successful history and has been said to represent the pride of UK...

Chi, K C; Reiner, David; Nuttall, William J

485

Short-Term Test Results: Transitional Housing Energy Efficiency Retrofit in the Hot-Humid Climate  

SciTech Connect (OSTI)

This project evaluates the renovation of a 5,800 ft2, multi-use facility located in St. Petersburg, on the west coast of central Florida, in the hot humid climate. An optimal package of retrofit measures was designed to deliver 30-40% annual energy cost savings for this building with annual utility bills exceeding $16,000 and high base load consumption. Researchers projected energy cost savings for potential retrofit measures based on pre-retrofit findings and disaggregated, weather normalized utility bills as a basis for simulation true-up. A cost-benefit analysis was conducted for the seven retrofit measures implemented; adding attic insulation and sealing soffits, tinting windows, improving whole building air-tightness, upgrading heating and cooling systems and retrofitting the air distribution system, replacing water heating systems, retrofitting lighting, and replacing laundry equipment. The projected energy cost savings for the full retrofit package based on a post-retrofit audit is 35%. The building's architectural characteristics, vintage, and residential and commercial uses presented challenges for both economic projections and retrofit measure construction.

Sutherland, K.; Martin, E.

2013-02-01T23:59:59.000Z

486

Alternative Energy Development and China's Energy Future  

E-Print Network [OSTI]

88 Figure 38. Carbon Intensity of China's Electricityboth its energy and carbon intensities as it strives to meetincluding energy and carbon intensity reduction goals of 16%

Zheng, Nina

2012-01-01T23:59:59.000Z

487

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage » SearchEnergyDepartment of EnergyLight-Duty Diesel Ultra-DeepwaterShell.C

488

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term  

E-Print Network [OSTI]

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production G. Giebel*, L. Landberg, Risoe National Roskilde, Denmark Abstract: The installed wind energy capacity in Europe today is 20 GW, while

Paris-Sud XI, Université de

489

ITP Distributed Energy: The International CHP/DHC Collaborative - Advancing Near-Term Low Carbon Technologies  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietip sheetK-4InFindingIR-2003-Transmission &50 1955 1960 1965

490

Long-Term Natural Gas Infrastructure Needs U.S. Department of Energy Quadrennial  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen toLeveragingLindsey GeislerEnergyLochinvarLong

491

Microsoft PowerPoint - Arseneau_EIA_ShortTermDriversofEnergyPrices.ppt [Compatibility Mode]  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration390 2.387NASEO 2006/07Summer8

492

Algal Biofuels: Long-Term Energy Benefits Drive U.S. Research  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartment ofEnergy Natural Gas:Austin, T X S ummary oAlgal Biofuels Algal

493

Energy Department Issues Report to Congress on Long-Term Stewardship of  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37 East andCommission Licensed

494

Jefferson Lab Upgrade named near-term priority in Department of Energy's  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFunInfraredJefferson Lab Click onLaserLabLab To Receive $7520-year

495

LONG-TERM GOAL The long-term goal of this research project is to determine if energy reflectance measurements can  

E-Print Network [OSTI]

presented here is to characterize the energy reflectance of normal- hearing, healthy newborn babies. Keefe month past the age of two years. Other work focuses on energy reflectance in NICU babies (e.g. Shahnaz al. 2008). Here, we present measurements of energy reflectance on normal-hearing, healthy newborn

Voss, Susan E.

496

Probabilistic wind power forecasting -European Wind Energy Conference -Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting  

E-Print Network [OSTI]

Probabilistic wind power forecasting - European Wind Energy Conference - Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting based on kernel density estimators J´er´emie Juban jeremie.juban@ensmp.fr; georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting tools

Paris-Sud XI, Université de

497

California’s 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

498

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.

499

Long-term population, productivity, and energy use trends in the sequence of leading capitalist nations.  

SciTech Connect (OSTI)

There are many theories on why sustainable science, technology, and commerce emerged first in Western Europe rather than elsewhere. A general theory is that the geography of Europe facilitated the development of diverse and independent states and resultant competition among them. Over the past 500 years, the sequence of leading states began with Portugal and the Netherlands on the edge of continental Western Europe, then moved to the British Isles, and finally moved across the Atlantic Ocean to the United States. The transitions of leadership from one state to another occurred about every 100 years. This sequence suggests that leadership moves from smaller states to larger states (although not to the largest existing state at the time), perhaps because larger states have the flexibility to develop more complex organizational processes and adapt new technology. To explore this theory further, this paper analyzes state population data at the beginning and end of each leadership period. The data reveal an accelerating initial population sequence. Further understanding is gained from comparing the populations of the preceding and succeeding states at the time of each transition: the succeeding state's population is usually about two times larger than that of the preceding state. It is also seen that over time, the new organizational processes and technologies developed by the leading state are diffused and adapted by other states. Evidence of the effects of this diffusion should be seen in the dynamics of relative productivity and energy use (since the relative advantage of new ideas and technology can be maintained for a short period of about 100 years). This paper investigates these trends in population, trade, and resources to provide insight on possible future transitions.

LePoire, D. J. (Environmental Science Division)

2010-10-01T23:59:59.000Z

500

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