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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

The effects of energy policies in China on GDP, industrial output and new energy profits1  

E-Print Network [OSTI]

1 The effects of energy policies in China on GDP, industrial output and new energy profits1 Ming-Jie Lu, C.-Y. Cynthia Lin and Song Chen Abstract This paper examines the effects of energy policies and the profits of new energy companies using instruments to address the potential endogeneity of the policies

Lin, C.-Y. Cynthia

2

Iran rebuilding petroleum industry, output capacity  

SciTech Connect (OSTI)

This paper reports on Iran which has turned away from stern isolationism this year in order to rebuild a war-ravaged petroleum industry and stimulate its economy. The reconstruction effort includes participation, under terms still not well defined, by non-Iranian companies in upstream oil and gas operations.

Tippee, B.

1991-12-02T23:59:59.000Z

3

Robust Output Feedback Stabilization of Nonlinear Interconnected Systems with Application to an Industrial Utility Boiler  

E-Print Network [OSTI]

to an Industrial Utility Boiler Adarsha Swarnakar, Horacio Jose Marquez and Tongwen Chen Abstract-- This paper boiler (Utility boiler), where the nonlinear model describes the complicated dynamics of the drum

Marquez, Horacio J.

4

New Contract Helps Portsmouth GDP Cleanup  

Broader source: Energy.gov [DOE]

To accelerate the Portsmouth GDP cleanup efforts left over from the Cold War, the Department of Energy made a huge step forward in our nuclear environmental cleanup efforts.

5

AEO2014: Preliminary Industrial Output  

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 Import CostsLiquids Reserve3.Revenue3 Oil and Gas SupplyFOR:

6

Comparisons of four categories of waste recycling in China's paper industry based on physical input-output life-cycle assessment model  

SciTech Connect (OSTI)

Highlights: Black-Right-Pointing-Pointer Using crop straws and wood wastes for paper production should be promoted. Black-Right-Pointing-Pointer Bagasse and textile waste recycling should be properly limited. Black-Right-Pointing-Pointer Imports of scrap paper should be encouraged. Black-Right-Pointing-Pointer Sensitivity analysis, uncertainties and policy implications are discussed. - Abstract: Waste recycling for paper production is an important component of waste management. This study constructs a physical input-output life-cycle assessment (PIO-LCA) model. The PIO-LCA model is used to investigate environmental impacts of four categories of waste recycling in China's paper industry: crop straws, bagasse, textile wastes and scrap paper. Crop straw recycling and wood utilization for paper production have small total intensity of environmental impacts. Moreover, environmental impacts reduction of crop straw recycling and wood utilization benefits the most from technology development. Thus, using crop straws and wood (including wood wastes) for paper production should be promoted. Technology development has small effects on environmental impacts reduction of bagasse recycling, textile waste recycling and scrap paper recycling. In addition, bagasse recycling and textile waste recycling have big total intensity of environmental impacts. Thus, the development of bagasse recycling and textile waste recycling should be properly limited. Other pathways for reusing bagasse and textile wastes should be explored and evaluated. Moreover, imports of scrap paper should be encouraged to reduce large indirect impacts of scrap paper recycling on domestic environment.

Liang Sai [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Zhang, Tianzhu, E-mail: zhangtz@mail.tsinghua.edu.cn [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Xu Yijian [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); China Academy of Urban Planning and Design, Beijing 100037 (China)

2012-03-15T23:59:59.000Z

7

Industry  

E-Print Network [OSTI]

SHIP - Solar heat for industrial processes. Internationalsolar power could be used to provide process heat for

Bernstein, Lenny

2008-01-01T23:59:59.000Z

8

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network [OSTI]

Industry Constraining Energy Consumption of China’s Largestone-to-one ratio of energy consumption to GDP – given China’goal of reducing energy consumption per unit of GDP by 20%

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

9

Industry  

E-Print Network [OSTI]

of its electricity requirements in the USA (US DOE, 2002)USA, where motor-driven systems account for 63% of industrial electricity

Bernstein, Lenny

2008-01-01T23:59:59.000Z

10

Industry  

E-Print Network [OSTI]

options for combined heat and power in Canada. Office ofpolicies to promote combined heat and power in US industry.with fuel inputs in combined heat and power plants being

Bernstein, Lenny

2008-01-01T23:59:59.000Z

11

Industry  

E-Print Network [OSTI]

EJ of primary energy, 40% of the global total of 227 EJ. Bytotal energy use by industry and on the fraction of electricity use consumed by motor driven systems was taken as representative of global

Bernstein, Lenny

2008-01-01T23:59:59.000Z

12

Industry  

SciTech Connect (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

13

EMEF DMC EFS-95-004 GDP TURNOVER CONTINGENCY PLANNING POWER CONTRACTIN...  

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

111111111111111111111111 EMEF DMC EFS-95-004 GDP TURNOVER CONTINGENCY PLANNING POWER CONTRACTING OPTIONS This document is approved f()i puolic release per review by: er "-...

14

MECHANICAL PROPERTIES OF THIN GDP SHELLS USED AS CRYOGENIC DIRECT DRIVE TARGETS AT OMEGA  

SciTech Connect (OSTI)

OAK-B135 Thin glow discharge polymer (GDP) shells are currently used as the targets for cryogenic direct drive laser fusion experiments. These shells need to be filled with nearly 1000 atm of D{sub 2} and cooled to cryogenic temperatures without failing due to buckling and bursting pressures they experience in this process. Therefore, the mechanical and permeation properties of these shells are of utmost importance in successful and rapid filling with D{sub 2}. In this paper, they present an overview of buckle and burst pressures of several different types of GDP shells. These include those made using traditional GDP deposition parameters (standard GDP) using a high deposition pressure and using modified parameters (strong GDP) of low deposition pressure that leads to more robust shells.

NIKROO,A; CZECHOWICZ,D; CHEN,K.C; DICKEN,M; MORRIS,C; ANDREWS,R; GREENWOOD,A.L; CASTILLO,E

2003-06-01T23:59:59.000Z

15

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

16

EMEF DMC EFS-95-003 GDP TuRNOVER CONTINGENCY PLANNING POWER CONTRACT...  

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

5 11111111 EMEF DMC EFS-95-003 GDP TuRNOVER CONTINGENCY PLANNING POWER CONTRACT TERMINATION PROVISIONS AND CONSEQUENCES I JULY 1995 B. J. Kirby Power Systems Technology Program...

17

Industrial policy and the Indian electronics industry  

E-Print Network [OSTI]

Recently, production within India's Electronics sector amounted to a low $12 billion when compared to the global output of $1400 billion. The slow growth in the local industry is often judged to be the result of late ...

Love, Robert (Robert Eric)

2008-01-01T23:59:59.000Z

18

GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning  

E-Print Network [OSTI]

1 GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning (Performance Analysis. Grossmann #12;2 Motivation · Refinery planning is an active area in process systems that strongly relies HF REFINERY FUEL RG LPG LN HN KN GO1 GO2 VGO VR1 VR2 C1 LPG LIGHT NAPHTHA PMS 98 MOGAS 95 JET FUEL

Grossmann, Ignacio E.

19

The effects of energy policies in China on energy consumption and GDP1  

E-Print Network [OSTI]

policies have significant impacts on diesel oil, gasoline and natural gas consumption. However, some energy The effects of energy policies in China on energy consumption and GDP1 Ming-Jie Lu, C.-Y. Cynthia Lin and Song Chen Abstract This paper examines the effects of energy policies in China on energy

Lin, C.-Y. Cynthia

20

Multiple Structural Breaks in India's GDP: Evidence from India's Service Sector  

E-Print Network [OSTI]

of economists and policy makers. India was designated as an agricultural country with a highest share1 Multiple Structural Breaks in India's GDP: Evidence from India's Service Sector Purba Roy Choudhury1 Abstract: This paper takes a comprehensive investigation into India's service sector, the main

Bandyopadhyay, Antar

Note: This page contains sample records for the topic "gdp industrial output" 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

Energy-GDP decoupling in a second best world -A case study on India Cline Guivarcha,*  

E-Print Network [OSTI]

1 Energy-GDP decoupling in a second best world - A case study on India Céline Guivarcha best world ­ A case study on India. Climatic Change, Volume 113, Number 2, pages 339­ 356. Abstract India, energy intensity, second-best world, power sector, reference scenario. Introduction Reference

Boyer, Edmond

22

China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential  

E-Print Network [OSTI]

reduction in energy consumption per unit of GDP from 2006 toEnergy Technologies Division Lawrence Berkeley National Laboratory Abstract Achieving China’s goal of reducing its carbon intensity (CO 2 per unit of GDP)

Zheng, Nina

2013-01-01T23:59:59.000Z

23

Industry Alliance Industry Alliance  

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

Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century October, 2010...

24

GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning  

E-Print Network [OSTI]

1 GDP Formulation of a segmented CDU Swing Cut Model for Refinery Planning Department of Chemical · Refinery planning is an active area in process systems that strongly relies on the accuracy of the CDU REFINERY FUEL RG LPG LN HN KN GO1 GO2 VGO VR1 VR2 C1 LPG LIGHT NAPHTHA PMS 98 MOGAS 95 JET FUEL AGO HGO HFO

Grossmann, Ignacio E.

25

Enhanced performance CCD output amplifier  

DOE Patents [OSTI]

A low-noise FET amplifier is connected to amplify output charge from a che coupled device (CCD). The FET has its gate connected to the CCD in common source configuration for receiving the output charge signal from the CCD and output an intermediate signal at a drain of the FET. An intermediate amplifier is connected to the drain of the FET for receiving the intermediate signal and outputting a low-noise signal functionally related to the output charge signal from the CCD. The amplifier is preferably connected as a virtual ground to the FET drain. The inherent shunt capacitance of the FET is selected to be at least equal to the sum of the remaining capacitances.

Dunham, Mark E. (Los Alamos, NM); Morley, David W. (Santa Fe, NM)

1996-01-01T23:59:59.000Z

26

China's Pathways to Achieving 40% ~ 45% Reduction in CO{sub 2} Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential  

SciTech Connect (OSTI)

Achieving China’s goal of reducing its carbon intensity (CO{sub 2} per unit of GDP) by 40% to 45% percent below 2005 levels by 2020 will require the strengthening and expansion of energy efficiency policies across the buildings, industries and transport sectors. This study uses a bottom-up, end-use model and two scenarios -- an enhanced energy efficiency (E3) scenario and an alternative maximum technically feasible energy efficiency improvement (Max Tech) scenario – to evaluate what policies and technical improvements are needed to achieve the 2020 carbon intensity reduction target. The findings from this study show that a determined approach by China can lead to the achievement of its 2020 goal. In particular, with full success in deepening its energy efficiency policies and programs but following the same general approach used during the 11th Five Year Plan, it is possible to achieve 49% reduction in CO{sub 2} emissions per unit of GDP (CO{sub 2} emissions intensity) in 2020 from 2005 levels (E3 case). Under the more optimistic but feasible assumptions of development and penetration of advanced energy efficiency technology (Max Tech case), China could achieve a 56% reduction in CO{sub 2} emissions intensity in 2020 relative to 2005 with cumulative reduction of energy use by 2700 Mtce and of CO{sub 2} emissions of 8107 Mt CO{sub 2} between 2010 and 2020. Energy savings and CO{sub 2} mitigation potential varies by sector but most of the energy savings potential is found in energy-intensive industry. At the same time, electricity savings and the associated emissions reduction are magnified by increasing renewable generation and improving coal generation efficiency, underscoring the dual importance of end-use efficiency improvements and power sector decarbonization.

Zheng, Nina; Fridley, David; Zhou, Nan; Levine, Mark; Price, Lynn; Ke, Jing

2011-09-30T23:59:59.000Z

27

NEMS industrial module documentation report  

SciTech Connect (OSTI)

The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2010) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of output of industrial activity. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

Not Available

1994-01-01T23:59:59.000Z

28

The Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 to 1996  

E-Print Network [OSTI]

that structural breaks may be important. Since the economy depends heavily on oil revenue, oil price shocks haveThe Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 and the price level in the Venezuelan economy. We apply time-series econometric techniques to annual data

Ahmad, Sajjad

29

Helix Dipole Movement and Conformational Variability Contribute to Allosteric GDP Release in G[alpha] Subunits  

SciTech Connect (OSTI)

Heterotrimeric G proteins (Galphabetagamma) transmit signals from activated G protein-coupled receptors (GPCRs) to downstream effectors through a guanine nucleotide signaling cycle. Numerous studies indicate that the carboxy-terminal alpha5 helix of Galpha subunits participates in Galpha-receptor binding, and previous EPR studies suggest this receptor-mediated interaction induces a rotation and translation of the alpha5 helix of the Galpha subunit [Oldham, W. M., et al. (2006) Nat. Struct. Mol. Biol. 13, 772-777]. On the basis of this result, an engineered disulfide bond was designed to constrain the alpha5 helix of Galpha(i1) into its EPR-measured receptor-associated conformation through the introduction of cysteines at position 56 in the alpha1 helix and position 333 in the alpha5 helix (I56C/Q333C Galpha(i1)). A functional mimetic of the EPR-measured alpha5 helix dipole movement upon receptor association was additionally created by introduction of a positive charge at the amino terminus of this helix, D328R Galpha(i1). Both proteins exhibit a dramatically elevated level of basal nucleotide exchange. The 2.9 A resolution crystal structure of I56C/Q333C Galpha(i1) in complex with GDP-AlF(4)(-) reveals the shift of the alpha5 helix toward the guanine nucleotide binding site that is anticipated by EPR measurements. The structure of the I56C/Q333C Galpha(i1) subunit further revealed altered positions for the switch regions and throughout the Galpha(i1) subunit, accompanied by significantly elevated crystallographic temperature factors. Combined with previous evidence in the literature, the structural analysis supports the critical role of electrostatics of the alpha5 helix dipole and overall conformational variability during nucleotide release.

Preininger, Anita M.; Funk, Michael A.; Oldham, William M.; Meier, Scott M.; Johnston, Christopher A.; Adhikary, Suraj; Kimple, Adam J.; Siderovski, David P.; Hamm, Heidi E.; Iverson, Tina M.; (Vanderbilt); (UNC)

2009-06-01T23:59:59.000Z

30

DUAL-OUTPUT HOLA FIRMWARE AND TESTS  

E-Print Network [OSTI]

another channel (thus, "dual-output" HOLA) · Another LDC+ROMB block was added to receive data from side S32PCI64 "SOLAR" mezzanine card: Provides access to S-LINK via PCI bus The first prototype of dual-outputDUAL-OUTPUT HOLA FIRMWARE AND TESTS Anton Kapliy Mel Shochet Fukun Tang Daping Weng #12;Summary

31

China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential  

E-Print Network [OSTI]

goal of reducing its carbon intensity (CO 2 per unit of GDP)to achieve the 2020 carbon intensity reduction target. Thecommitted to reduce its carbon intensity (CO 2 per unit of

Zheng, Nina

2013-01-01T23:59:59.000Z

32

Industrial Permit  

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

Protection Obeying Environmental Laws Industrial Permit Industrial Permit The Industrial Permit authorizes the Laboratory to discharge point-source effluents under the...

33

Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing  

SciTech Connect (OSTI)

Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratory’s Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

Mark D. McKay

2011-02-01T23:59:59.000Z

34

Bayesian Learning of unobservable output 1 Bayesian Learning of unobservable output  

E-Print Network [OSTI]

Bayesian Learning of unobservable output 1 Bayesian Learning of unobservable output aggregating the consistency of our method and illustrate its efficiency using simulations. Although up to our knowledge there are no similar algorithms for unobservable output, we compared in our simulations to supervised approaches

Provence Aix-Marseille I, Université de

35

Industrial Engineering Industrial Advisory Board  

E-Print Network [OSTI]

Industrial Engineering Industrial Advisory Board (IAB) #12;PURPOSE: The Texas Tech University - Industrial Engineering Industrial Ad- visory Board (IAB) is an association of professionals with a com- mon goal - promoting and developing the Texas Tech Department of Industrial Engineering and its students

Gelfond, Michael

36

Anisotropic Grid Adaptation for Multiple Aerodynamic Outputs  

E-Print Network [OSTI]

Anisotropic grid–adaptive strategies are presented for viscous flow simulations in which the accurate prediction of multiple aerodynamic outputs (such as the lift, drag, and moment coefficients) is required from a single ...

Venditti, David A.

37

SOLAR ENERGY (conditionally accepted 1/2010) QUANTIFYING PV POWER OUTPUT VARIABILITY  

E-Print Network [OSTI]

SOLAR ENERGY (conditionally accepted 1/2010) QUANTIFYING PV POWER OUTPUT VARIABILITY Thomas E create major problems that will require major mitigation efforts. #12;SOLAR ENERGY (conditionally industry believe it could constrain the penetration of gridconnected PV. The U.S. Department of Energy

Perez, Richard R.

38

Emerging energy-efficient technologies for industry  

SciTech Connect (OSTI)

U.S. industry consumes approximately 37 percent of the nation's energy to produce 24 percent of the nation's GDP. Increasingly, society is confronted with the challenge of moving toward a cleaner, more sustainable path of production and consumption, while increasing global competitiveness. Technology is essential in achieving these challenges. We report on a recent analysis of emerging energy-efficient technologies for industry, focusing on over 50 selected technologies. The technologies are characterized with respect to energy efficiency, economics and environmental performance. This paper provides an overview of the results, demonstrating that we are not running out of technologies to improve energy efficiency, economic and environmental performance, and neither will we in the future. The study shows that many of the technologies have important non-energy benefits, ranging from reduced environmental impact to improved productivity, and reduced capital costs compared to current technologies.

Worrell, Ernst; Martin, Nathan; Price, Lynn; Ruth, Michael; Elliott, Neal; Shipley, Anna; Thorne, Jennifer

2004-01-01T23:59:59.000Z

39

Technologies and Policies to Improve Energy Efficiency in Industry  

E-Print Network [OSTI]

reducing energy consumption per unit of GDP by 20% betweena 20% reduction in energy use per unit of GDP by 2010 (Price

Price, Lynn

2008-01-01T23:59:59.000Z

40

Constraining Energy Consumption of China's Largest IndustrialEnterprises Through the Top-1000 Energy-Consuming EnterpriseProgram  

SciTech Connect (OSTI)

Between 1980 and 2000, China's energy efficiency policiesresulted in a decoupling of the traditionally linked relationship betweenenergy use and gross domestic product (GDP) growth, realizing a four-foldincrease in GDP with only a doubling of energy use. However, during Chinas transition to a market-based economy in the 1990s, many of thecountry's energy efficiency programs were dismantled and between 2001 and2005 China's energy use increased significantly, growing at about thesame rate as GDP. Continuation of this one-to-one ratio of energyconsumption to GDP given China's stated goal of again quadrupling GDPbetween 2000 and 2020 will lead to significant demand for energy, most ofwhich is coal-based. The resulting local, national, and globalenvironmental impacts could be substantial.In 2005, realizing thesignificance of this situation, the Chinese government announced anambitious goal of reducing energy consumption per unit of GDP by 20percent between 2005 and 2010. One of the key initiatives for realizingthis goal is the Top-1000 Energy-Consuming Enterprises program. Thecomprehensive energy consumption of these 1000 enterprises accounted for33 percent of national and 47 percent of industrial energy usage in 2004.Under the Top-1000 program, 2010 energy consumption targets wereannounced for each enterprise. Activities to be undertaken includebenchmarking, energy audits, development of energy saving action plans,information and training workshops, and annual reporting of energyconsumption. This paper will describe the program in detail, includingthe types of enterprises included and the program activities, and willprovide an analysis of the progress and lessons learned todate.

Price, Lynn; Wang, Xuejun

2007-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

PV output smoothing with energy storage.  

SciTech Connect (OSTI)

This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

Ellis, Abraham; Schoenwald, David Alan

2012-03-01T23:59:59.000Z

42

Modeling Multi Output Filtering Effects in PCMOS  

E-Print Network [OSTI]

Modeling Multi Output Filtering Effects in PCMOS Anshul Singh*, Arindam Basu, Keck-Voon Ling, Nanyang Technological University (NTU), Singapore *NTU-Rice Institute of Sustainable and Applied Infodynamics (ISAID), NTU, Singapore $School of Computer Engineering, NTU, Singapore §School of ECE, Georgia

Mooney, Vincent

43

Bioenergy technology balancing energy output with environmental  

E-Print Network [OSTI]

E2.3 Bioenergy technology ­ balancing energy output with environmental benefitsbenefits John standards #12;Is it right to grow bioenergy? Or How much bioenergy production is right? #12;Historical bioenergy Farmers historically used 25% land for horse feed #12;Energy crops are `solar panels' Solar energy

Levi, Ran

44

Single Inductor Dual Output Buck Converter  

E-Print Network [OSTI]

of value 3V. The main focus areas are low cross regulation between the outputs and supply of completely independent load current levels while maintaining desired values (1.2V,1.5 V) within well controlled ripple levels. Dynamic hysteresis control is used...

Eachempatti, Haritha

2010-07-14T23:59:59.000Z

45

Porous radiant burners having increased radiant output  

DOE Patents [OSTI]

Means and methods for enhancing the output of radiant energy from a porous radiant burner by minimizing the scattering and increasing the adsorption, and thus emission of such energy by the use of randomly dispersed ceramic fibers of sub-micron diameter in the fabrication of ceramic fiber matrix burners and for use therein.

Tong, Timothy W. (Tempe, AZ); Sathe, Sanjeev B. (Tempe, AZ); Peck, Robert E. (Tempe, AZ)

1990-01-01T23:59:59.000Z

46

Anisotropic Grid Adaptation for Multiple Aerodynamic Outputs  

E-Print Network [OSTI]

Anisotropic Grid Adaptation for Multiple Aerodynamic Outputs David A. Venditti and David L Anisotropic grid­adaptive strategies are presented for viscous flow simulations in which the accurate estimation and Hessian-based anisotropic grid adaptation. Airfoil test cases are presented to demonstrate

Peraire, Jaime

47

ENERGY USE AND CONSERVATION IN INDUSTRIALIZED COUNTRIES  

E-Print Network [OSTI]

ratio 2 1 9 6 7 Energy per capita 2 1 7 5 9 GDP per capita 1Energy prices (1owest prices = 1) 1 2 4 5 9 Passenger mi1es per unit GDP

Schipper, L.

2012-01-01T23:59:59.000Z

48

Structural Studies of the Nudix GDP-mannose Hydrolase from E. coli Reveals a New Motif for Mannose Recognition  

SciTech Connect (OSTI)

The Nudix hydrolase superfamily, characterized by the presence of the signature sequence GX5EX7REUXEEXGU (where U is I, L, or V), is a well-studied family in which relations have been established between primary sequence and substrate specificity for many members. For example, enzymes that hydrolyze the diphosphate linkage of ADP-ribose are characterized by having a proline 15 amino acids C-terminal of the Nudix signature sequence. GDPMK is a Nudix enzyme that conserves this characteristic proline but uses GDP-mannose as the preferred substrate. By investigating the structure of the GDPMK alone, bound to magnesium, and bound to substrate, the structural basis for this divergent substrate specificity and a new rule was identified by which ADP-ribose pyrophosphatases can be distinguished from purine-DP-mannose pyrophosphatases from primary sequence alone. Kinetic and mutagenesis studies showed that GDPMK hydrolysis does not rely on a single glutamate as the catalytic base. Instead, catalysis is dependent on residues that coordinate the magnesium ions and residues that position the substrate properly for catalysis. GDPMK was thought to play a role in biofilm formation because of its upregulation in response to RcsC signaling; however, GDPMK knockout strains show no defect in their capacity of forming biofilms.

A Boto; W Xu; J Jakoncic; A Pannuri; T Romeo; M Bessman; S Gabelli; L Amzel

2011-12-31T23:59:59.000Z

49

UFO - The Universal FeynRules Output  

E-Print Network [OSTI]

We present a new model format for automatized matrix-element generators, the so- called Universal FeynRules Output (UFO). The format is universal in the sense that it features compatibility with more than one single generator and is designed to be flexible, modular and agnostic of any assumption such as the number of particles or the color and Lorentz structures appearing in the interaction vertices. Unlike other model formats where text files need to be parsed, the information on the model is encoded into a Python module that can easily be linked to other computer codes. We then describe an interface for the Mathematica package FeynRules that allows for an automatic output of models in the UFO format.

Céline Degrande; Claude Duhr; Benjamin Fuks; David Grellscheid; Olivier Mattelaer; Thomas Reiter

2012-07-31T23:59:59.000Z

50

UFO - The Universal FeynRules Output  

E-Print Network [OSTI]

We present a new model format for automatized matrix-element generators, the so- called Universal FeynRules Output (UFO). The format is universal in the sense that it features compatibility with more than one single generator and is designed to be flexible, modular and agnostic of any assumption such as the number of particles or the color and Lorentz structures appearing in the interaction vertices. Unlike other model formats where text files need to be parsed, the information on the model is encoded into a Python module that can easily be linked to other computer codes. We then describe an interface for the Mathematica package FeynRules that allows for an automatic output of models in the UFO format.

Degrande, Céline; Fuks, Benjamin; Grellscheid, David; Mattelaer, Olivier; Reiter, Thomas

2011-01-01T23:59:59.000Z

51

Administrator Ready Reference Guide Customizing an Output Style  

E-Print Network [OSTI]

may be in various sections of the instructions. Some things to look for: - line spacing Preview Utility (Tools, Preview Output Styles) or by simply opening the Output Style Editor (Bibliography, Edit button -- to the right of the output style drop- down). The Output Style Preview Utility

University of Technology, Sydney

52

Comparison of CAISO-run Plexos output with LLNL-run Plexos output  

SciTech Connect (OSTI)

In this report we compare the output of the California Independent System Operator (CAISO) 33% RPS Plexos model when run on various computing systems. Specifically, we compare the output resulting from running the model on CAISO's computers (Windows) and LLNL's computers (both Windows and Linux). We conclude that the differences between the three results are negligible in the context of the entire system and likely attributed to minor differences in Plexos version numbers as well as the MIP solver used in each case.

Schmidt, A; Meyers, C; Smith, S

2011-12-20T23:59:59.000Z

53

Energy Efficiency Opportunities in the Stone and Asphalt Industry  

E-Print Network [OSTI]

Industries of the Future (DOE-IOF) initiative. In addition to being highly energy intensive, stone crushing currently produces 42% of the total material consumed by weight in the US, which is mainly used as highway aggregates. Based on GDP growth... Symon4-1/2 HP300 061 150 220 270 100 0.50 0.63 270 161 150 220 100% 100% 3/4 proc 220 150 427 703 Daily Energy Consumption Entering Screenhouse 1501 Run Hours per Day 15.5 Daily Production Stage kW kWh/dy Product Tons/dy Model Notes Primary 240 3,000 3...

Moray, S.; Throop, N.; Seryak, J.; Schmidt, C.; Fisher, C.; D'Antonio, M.

2006-01-01T23:59:59.000Z

54

Industrial Hygienist  

Broader source: Energy.gov [DOE]

A successful candidate in this position wil l serve as an Industrial Hygienist in the Operations Division, providing technical oversight of the Pacific Northwest National Laboratory contractors...

55

Steady-state bumpless transfer under controller uncertainty using the state/output feedback topology  

SciTech Connect (OSTI)

Linear quadratic (LQ) bumpless transfer design introduced recently by Turner and Walker gives a very convenient and straightforward computational procedure for the steady-state bumpless transfer operator synthesis. It is, however, found to be incapable of providing convergence of the output of the offline controller to that of the online controller in several industrial applications, producing bumps in the plant output in the wake of controller transfer. An examination of this phenomenon reveals that the applications in question are characterized by a significant mismatch, further referred to as controller uncertainty, between the dynamics of the implemented controllers and their models used in the transfer operator computation. To address this problem, while retaining the convenience of the Turner and Walker design, a novel state/output feedback bumpless transfer topology is introduced that employs the nominal state of the offline controller and, through the use of an additional controller/model mismatch compensator, also the offline controller output. A corresponding steady-state bumpless transfer design procedure along with the supporting theory is developed for a large class of systems. Due to these features, it is demonstrated to solve a long-standing problem of high-quality steady-state bumpless transfer from the industry standard low-order nonlinear multiloop PID-based controllers to the modern multiinput-multioutput (MIMO) robust controllers in the megawatt/throttle pressure control of a typical coal-fired boiler/turbine unit.

Zheng, K.; Lee, A.H.; Bentsman, J.; Taft, C.W. [University of Illinois, Urbana, IL (United States)

2006-01-15T23:59:59.000Z

56

Off-set stabilizer for comparator output  

DOE Patents [OSTI]

A stabilized off-set voltage is input as the reference voltage to a comparator. In application to a time-interval meter, the comparator output generates a timing interval which is independent of drift in the initial voltage across the timing capacitor. A precision resistor and operational amplifier charge a capacitor to a voltage which is precisely offset from the initial voltage. The capacitance of the reference capacitor is selected so that substantially no voltage drop is obtained in the reference voltage applied to the comparator during the interval to be measured.

Lunsford, James S. (Los Alamos, NM)

1991-01-01T23:59:59.000Z

57

Development of a Low-Carbon Indicator System for China  

E-Print Network [OSTI]

final energy per /industrial share of regional GDP (NBSfinal energy use per unit of industrial GDP produced. Evenbuildings, energy use per unit of industrial GDP, and CO 2

Price, Lynn

2012-01-01T23:59:59.000Z

58

World crude output overcomes Persian Gulf disruption  

SciTech Connect (OSTI)

Several OPEC producers made good on their promises to replace 2.7 MMbpd of oil exports that vanished from the world market after Iraq took over Kuwait. Even more incredibly, they accomplished this while a breathtaking 1.2- MMbopd reduction in Soviet output took place during the course of 1991. After Abu Dhabi, Indonesia, Iran, Libya, Nigeria, Saudi Arabia and Venezuela turned the taps wide open, their combined output rose 2.95 MMbopd. Put together with a 282,000-bopd increase by Norway and contributions from smaller producers, this enabled world oil production to remain within 400,000 bopd of its 1990 level. The 60.5-MMbopd average was off by just 0.7%. This paper reports that improvement took place in five of eight regions. Largest increases were in Western Europe and Africa. Greatest reductions occurred in Eastern Europe and the Middle East. Fifteen nations produced 1 MMbopd or more last year, compared with 17 during 1990.

Not Available

1992-02-01T23:59:59.000Z

59

GDP-L-fucose: {beta}-D-galactoside 2-{alpha}-Lfucosyltransferases, DNA sequences encoding the same, method for producing the same and a method of genotyping a person  

DOE Patents [OSTI]

The gene encoding GDP-L-fucose: {beta}-D-Galactoside 2-{alpha}-Lfucosyltransferase has been cloned, and a mutation in this gene has been found to be responsible for an individual being a non-secretor. 30 figs.

Lowe, J.B.; Lennon, G.; Rouquier, S.; Giorgi, D.; Kelly, R.J.

1998-09-15T23:59:59.000Z

60

GDP-L-fucose: .beta.-D-galactoside 2-.alpha.-L-fucosyltransferases, DNA sequences encoding the same, method for producing the same and a method of genotyping a person  

DOE Patents [OSTI]

The gene encoding GDP-L-fucose: .beta.-D-Galactoside 2-.alpha.-L-fucosyltransferase has been cloned, and a mutation in this gene has been found to be responsible for an individual being a non-secretor.

Lowe, John B. (3125 Bolgos Cir., Ann Arbor, MI 48105); Lennon, Gregory (8309 Norris Canyon, Castro Valley, CA 94552); Rouquier, Sylvie (5, rue du Cannau, 34000 Montpellier, FR); Giorgi, Dominique (5, rue du Cannau, 34000 Montpellier, FR); Kelly, Robert J. (3164 Concord, Trenton, MI 48183)

1998-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Application of computer voice input/output  

SciTech Connect (OSTI)

The advent of microprocessors and other large-scale integration (LSI) circuits is making voice input and output for computers and instruments practical; specialized LSI chips for speech processing are appearing on the market. Voice can be used to input data or to issue instrument commands; this allows the operator to engage in other tasks, move about, and to use standard data entry systems. Voice synthesizers can generate audible, easily understood instructions. Using voice characteristics, a control system can verify speaker identity for security purposes. Two simple voice-controlled systems have been designed at Los Alamos for nuclear safeguards applicaations. Each can easily be expanded as time allows. The first system is for instrument control that accepts voice commands and issues audible operator prompts. The second system is for access control. The speaker's voice is used to verify his identity and to actuate external devices.

Ford, W.; Shirk, D.G.

1981-01-01T23:59:59.000Z

62

Coordinated Output Regulation of Multiple Heterogeneous Linear Systems  

E-Print Network [OSTI]

, the generalizations of coordination of multiple linear dynamic systems to the cooperative output regulation problemCoordinated Output Regulation of Multiple Heterogeneous Linear Systems Ziyang Meng, Tao Yang, Dimos V. Dimarogonas, and Karl H. Johansson Abstract-- The coordinated output regulation problem

Dimarogonas, Dimos

63

Industrial Energy Systems Laboratory Gnie mcanique  

E-Print Network [OSTI]

is proportional to the sum of heat gains (solar, person, electrical devices and heating) minus the sum of heat of the building. This enables the computation of distances and the integration of networks (i.e. district heating have been necessary: Like an industrial process, a district is a closed system with inputs and outputs

64

Commissioning of output factors for uniform scanning proton beams  

SciTech Connect (OSTI)

Purpose: Current commercial treatment planning systems are not able to accurately predict output factors and calculate monitor units for proton fields. Patient-specific field output factors are thus determined by either measurements or empirical modeling based on commissioning data. The objective of this study is to commission output factors for uniform scanning beams utilized at the ProCure proton therapy centers. Methods: Using water phantoms and a plane parallel ionization chamber, the authors first measured output factors with a fixed 10 cm diameter aperture as a function of proton range and modulation width for clinically available proton beams with ranges between 4 and 31.5 cm and modulation widths between 2 and 15 cm. The authors then measured the output factor as a function of collimated field size at various calibration depths for proton beams of various ranges and modulation widths. The authors further examined the dependence of the output factor on the scanning area (i.e., uncollimated proton field), snout position, and phantom material. An empirical model was developed to calculate the output factor for patient-specific fields and the model-predicted output factors were compared to measurements. Results: The output factor increased with proton range and field size, and decreased with modulation width. The scanning area and snout position have a small but non-negligible effect on the output factors. The predicted output factors based on the empirical modeling agreed within 2% of measurements for all prostate treatment fields and within 3% for 98.5% of all treatment fields. Conclusions: Comprehensive measurements at a large subset of available beam conditions are needed to commission output factors for proton therapy beams. The empirical modeling agrees well with the measured output factor data. This investigation indicates that it is possible to accurately predict output factors and thus eliminate or reduce time-consuming patient-specific output measurements for proton treatments.

Zheng Yuanshui; Ramirez, Eric; Mascia, Anthony; Ding Xiaoning; Okoth, Benny; Zeidan, Omar; Hsi Wen; Harris, Ben; Schreuder, Andries N.; Keole, Sameer [ProCure Proton Therapy Center, 5901 West Memorial Road, Oklahoma City, Oklahoma 73142 (United States); ProCure Treatment Centers, 420 North Walnut Street, Bloomington, Indiana 47404 (United States); ProCure Proton Therapy Center, 5901 West Memorial Road, Oklahoma City, Oklahoma 73142 (United States)

2011-04-15T23:59:59.000Z

65

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

E-Print Network [OSTI]

and Evaluation of Energy Intensity per GDP Indicators ( ???Statistics on Energy Consumption Per Unit of GDP. 2006,tce/10,000 RMB Energy Consumption per unit of GDP (tonne of

Price, Lynn

2013-01-01T23:59:59.000Z

66

Regulatory Reform to Promote Clean Energy: The Potential of Output-Based Emissions Standards  

SciTech Connect (OSTI)

Barriers to industrial energy-efficient technologies hinder their use. A number of EPA analyses and industrial experts have found that the utilization of input-based emissions standards (measured in parts-per-million or pounds/MMBtu) in the Clean Air Act creates a regulatory barrier to the installation and deployment of technologies that emit fewer criteria pollutants and use energy more efficiently. Changing emission management strategies to an output-based emissions standard (measured in tons of pollutant emitted) is a way to ameliorate some of these barriers. Combined heat and power (CHP) is one of the key technologies that would see increased industrial application if the emissions standards were modified. Many states have made this change since the EPA first approved it in 2000, although direction from the Federal government could speed implementation modifications. To analyze the national impact of accelerated state adoption of output-based standards on CHP technologies, this paper uses detailed National Energy Modeling System (NEMS) and spreadsheet analysis illustrating two phased-in adoption scenarios for output-based emissions standards in the industrial sector. Benefit/cost metrics are calculated from a private and public perspective, and also a social perspective that considers the criteria and carbon air pollution emissions. These scenarios are compared to the reference case of AEO 2010 and are quite favorable, with a social benefit-cost ratio of 16.0 for a five-year phase-in scenario. In addition, the appropriateness of the Federal role, applicability, technology readiness, and administrative feasibility are discussed.

Cox, Matthew [Georgia Institute of Technology] [Georgia Institute of Technology; Brown, Dr. Marilyn Ann [Georgia Institute of Technology] [Georgia Institute of Technology; Jackson, Roderick K [ORNL] [ORNL

2011-01-01T23:59:59.000Z

67

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

E-Print Network [OSTI]

of declining energy use per unit GDP. Within this reform-and the energy use in agriculture per unit of GDP (economic

Aden, Nathaniel T.

2010-01-01T23:59:59.000Z

68

Ecological Economics 41 (2002) 509527 SPECIAL ISSUE: The Dynamics and Value of Ecosystem Services: Integrating  

E-Print Network [OSTI]

, 73% for Brazil, and 92% for Russia. While GDP per capita has the usual northern industrialized-marketed economic value from two classified satellite images with global coverage at 1 km2 resolution. GDP (a measure of marketed economic output) is correlated with the amount of light energy (LE) emitted

Vermont, University of

69

Output power characteristics and performance of TOPAZ II Thermionic Fuel Element No. 24  

SciTech Connect (OSTI)

A final report on the output power characteristics and capabilities of single cell TOPAZ II Thermionic Fuel Element (TFE) No. 24 is presented. Thermal power tests were conducted for over 3000 hours to investigate converter performance under normal and adverse operating conditions. Experiments conducted include low power testing, high power testing, air introduction to the interelectrode gap, collector temperature optimization, thermal modeling, and output power characteristic measurements. During testing, no unexpected degradation in converter performance was observed. The TFE has been removed from the test stand and returned to Scientific Industrial Association {open_quote}{open_quote}LUCH{close_quote}{close_quote} for materials analysis and report. This research was conducted at the Thermionic System Evaluation Test (TSET) Facility at the New Mexico Engineering Research Institute (NMERI) as a part of the Topaz International Program (TIP) by the Air Force Phillips Laboratory (PL). {copyright} {ital 1996 American Institute of Physics.}

Luchau, D.W.; Bruns, D.R. [Team Specialty Services, Inc., TOPAZ International Program, 901 University Blvd., SE, Albuquerque, New Mexico 87106 (United States); Izhvanov, O.; Androsov, V. [JV INERTEK, Scientific Industrial Association ``Luch``, 24 Zheleznodorozhnaya, Podolsk, (Russia) 142100

1996-03-01T23:59:59.000Z

70

action potential output: Topics by E-print Network  

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

HF efficiency, but does not necessarily yield a higher measurable power (power in the bucket). For low Carroll, David L. 376 A Spatial Analysis of Multivariate Output from...

71

advisory capability output: Topics by E-print Network  

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

HF efficiency, but does not necessarily yield a higher measurable power (power in the bucket). For low Carroll, David L. 453 A Spatial Analysis of Multivariate Output from...

72

NREL: Wind Research - Boosting Wind Plant Power Output by 4%...  

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

Boosting Wind Plant Power Output by 4%-5% through Coordinated Turbine Controls July 30, 2014 Wind plant underperformance has plagued wind plant developers for years. To address...

73

Single-photon quantum router with multiple output ports  

E-Print Network [OSTI]

We study the multi-channel quantum routing of the single photons in a waveguide-emitter system. The channels are composed by the waveguides and are connected by intermediate two-level emitters. By adjusting the intermediate emitters, the output channels of the input single photons can be controlled. This is demonstrated for the cases of one output channel, two output channels and the generic N output channels. The results show that the multi-channel quantum routing of single photons can be well achieved in present system. This sheds light on the experimental realization of quantum routing of single photons.

Wei-Bin Yan; Heng Fan

2013-11-26T23:59:59.000Z

74

China's industrial sector in an international context  

SciTech Connect (OSTI)

The industrial sector accounts for 40% of global energy use. In 1995, developing countries used an estimated 48 EJ for industrial production, over one-third of world total industrial primary energy use (Price et al., 1998). Industrial output and energy use in developing countries is dominated by China, India, and Brazil. China alone accounts for about 30 EJ (National Bureau of Statistics, 1999), or about 23% of world industrial energy use. China's industrial sector is extremely energy-intensive and accounted for almost 75% of the country's total energy use in 1997. Industrial energy use in China grew an average of 6.6% per year, from 14 EJ in 1985 to 30 EJ in 1997 (Sinton et al., 1996; National Bureau of Statistics, 1999). This growth is more than three times faster than the average growth that took place in the world during the past two decades. The industrial sector can be divided into light and heavy industry, reflecting the relative energy-intensity of the manufacturing processes. In China, about 80% of the energy used in the industrial sector is consumed by heavy industry. Of this, the largest energy-consuming industries are chemicals, ferrous metals, and building materials (Sinton et al., 1996). This paper presents the results of international comparisons of production levels and energy use in six energy-intensive subsectors: iron and steel, aluminum, cement, petroleum refining, ammonia, and ethylene. The sectoral analysis results indicate that energy requirements to produce a unit of raw material in China are often higher than industrialized countries for most of the products analyzed in this paper, reflecting a significant potential to continue to improve energy efficiency in heavy industry.

Price, Lynn; Worrell, Ernst; Martin, Nathan; Lehman, Bryan; Sinton, Jonathan

2000-05-01T23:59:59.000Z

75

China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential  

E-Print Network [OSTI]

Generation Growth Demand Side Management Industrial Sectortechnology and demand side management. For electricity

Zheng, Nina

2013-01-01T23:59:59.000Z

76

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

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 56623PrimarySelectedand 2002 e Page Last

77

EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries, 1998,  

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 56623PrimarySelectedand 2002 eandand

78

GAMS program used to estimate capacity output using a distance function with both good and bad output, variable returns to scale and weak disposability of the bad outputs.  

E-Print Network [OSTI]

." VIMS Marine resource Report N. 2007-6. August 2007. Author: John B. Walden NMFS/NEFSC 166 Water St(obs) weights ; POSITIVE Variable weight, lambda; EQUATIONS CONSTR1(GOUTPUT, OBS) DEA constraint for each output

79

Verification of hourly forecasts of wind turbine power output  

SciTech Connect (OSTI)

A verification of hourly average wind speed forecasts in terms of hourly average power output of a MOD-2 was performed for four sites. Site-specific probabilistic transformation models were developed to transform the forecast and observed hourly average speeds to the percent probability of exceedance of an hourly average power output. (This transformation model also appears to have value in predicting annual energy production for use in wind energy feasibility studies.) The transformed forecasts were verified in a deterministic sense (i.e., as continuous values) and in a probabilistic sense (based upon the probability of power output falling in a specified category). Since the smoothing effects of time averaging are very pronounced, the 90% probability of exceedance was built into the transformation models. Semiobjective and objective (model output statistics) forecasts were made compared for the four sites. The verification results indicate that the correct category can be forecast an average of 75% of the time over a 24-hour period. Accuracy generally decreases with projection time out to approx. 18 hours and then may increase due to the fairly regular diurnal wind patterns that occur at many sites. The ability to forecast the correct power output category increases with increasing power output because occurrences of high hourly average power output (near rated) are relatively rare and are generally not forecast. The semiobjective forecasts proved superior to model output statistics in forecasting high values of power output and in the shorter time frames (1 to 6 hours). However, model output statistics were slightly more accurate at other power output levels and times. Noticeable differences were observed between deterministic and probabilistic (categorical) forecast verification results.

Wegley, H.L.

1984-08-01T23:59:59.000Z

80

Industrial Users  

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-SeriesFlickrinformation for planningtoA Journey Inside the Complex andIndustrial

Note: This page contains sample records for the topic "gdp industrial output" 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

Industry Economists  

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-SeriesFlickrinformation for planningtoA Journey Inside the ComplexIndustry

82

Industry @ ALS  

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 Region service area.Portaldefault Sign In AboutIn theIndustry @ ALS

83

Challenges in Predicting Power Output from Offshore Wind Farms  

E-Print Network [OSTI]

Challenges in Predicting Power Output from Offshore Wind Farms R. J. Barthelmie1 and S. C. Pryor2 Abstract: Offshore wind energy is developing rapidly in Europe and the trend is towards large wind farms an offshore wind farm, accurate assessment of the wind resource/power output from the wind farm is a necessity

Pryor, Sara C.

84

ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO  

E-Print Network [OSTI]

ADIOS ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO NATIONAL RADIO ASTRONOMY OBSERVATORY TABLES ADIOS - ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE COMPUTER TABLE FOR CONTENTS Page I Module and Apple Card (Photograph) Figure 3 Complete Apple/ADIOS System (Photograph) Figure 4 Analog

Groppi, Christopher

85

Most efficient quantum thermoelectric at finite power output  

E-Print Network [OSTI]

Machines are only Carnot efficient if they are reversible, but then their power output is vanishingly small. Here we ask, what is the maximum efficiency of an irreversible device with finite power output? We use a nonlinear scattering theory to answer this question for thermoelectric quantum systems; heat engines or refrigerators consisting of nanostructures or molecules that exhibit a Peltier effect. We find that quantum mechanics places an upper bound on both power output, and on the efficiency at any finite power. The upper bound on efficiency equals Carnot efficiency at zero power output, but decays with increasing power output. It is intrinsically quantum (wavelength dependent), unlike Carnot efficiency. This maximum efficiency occurs when the system lets through all particles in a certain energy window, but none at other energies. A physical implementation of this is discussed, as is the suppression of efficiency by a phonon heat flow.

Robert S. Whitney

2014-03-13T23:59:59.000Z

86

Economic Forces Driving Agriculture and the Seed Industry  

E-Print Network [OSTI]

, 1980-2012 with projections until 2030 #12;World map weighted by GDP in 1960 #12;Real Gross Domestic;Population and real per capita GDP in `000 2005 dollars, 2012 and 2030 projections (US per capita income in 2050 Total population (est.) = 9.07 billion 11 #12;U.S. and world real per capita GDP in 2005 dollars

California at Davis, University of

87

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board October 15, 2010 #12;Mechanical & Industrial Engineering 2 MIE Dorothy Adams Undergraduate/Graduate Secretary David Schmidt Associate Professor & Graduate Program Director #12;Mechanical & Industrial Engineering 3 MIE James Rinderle

Mountziaris, T. J.

88

Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program  

E-Print Network [OSTI]

Daily, 2007. Energy consumption per unit GDP down 1.23%increase in energy use per unit of GDP after 2002 following2006, the energy consumption per unit of GDP declined 1.23%

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

89

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

E-Print Network [OSTI]

reducing energy consumption per unit of GDP by 20% between20% reduction in energy use per unit of GDP by 2010. China'sincrease in energy use per unit of GDP after 2002 following

Price, Lynn

2008-01-01T23:59:59.000Z

90

Engineering Industrial & Systems  

E-Print Network [OSTI]

Industrial Engineering Department of Industrial & Systems Engineering Leslie Monplaisir, Ph powerful tool sets used in industry today. -Brent Gillett, BSIE 2007 Advanced Planning Engineer at BMW I is available at: http://ise.wayne.edu/bs-industrial/index What is Industrial Engineering? The industrial

Berdichevsky, Victor

91

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. Industrial engineers design and run the factories and systems

92

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. The focus of industrial engineering is on process improvement

93

GEO Down Under The Ground Source Industry in Australia and New Zealand  

E-Print Network [OSTI]

: 22.2 million § GDP: $987 billion § Per capita GDP: $43 300 per capita § Popula8on: 4.4 million § GDP: $134 billion § Per capita GDP: $30 200 rocks and energy genera8on to most § North side of house has greatest solar

94

China's Pathways to Achieving 40percent 45percent Reduction in CO2 Emissions per Unit of GDP in 2020: Sectoral Outlook and Assessment of Savings Potential  

E-Print Network [OSTI]

heater Residential CO2 Emissions (Mt CO2) 2020 ResidentialEnergy Industrial Sector CO2 Emissions (Mt CO2) IndustrialFigure 5. Power Sector CO2 Emissions by Scenario E3 Max Tech

Zheng, Nina

2013-01-01T23:59:59.000Z

95

Relationship Among Efficiency and Output Power of Heat Energy Converters  

E-Print Network [OSTI]

Relationship among efficiency and output power of heat-electric energy converters as well as of any converters for transforming of heat energy into any other kind of energy is considered. It is shown, that the parameter efficiency does not determine univocally the output power of a converter. It is proposed to use another parameter for determination of working ability of heat energy converters. It is shown, that high output power can not be achieved by any kind of Stirling-type converters in spite of their high efficiency.

Alexander Luchinskiy

2004-09-02T23:59:59.000Z

96

Industrial Plant Objectives and Cogeneration System Development  

E-Print Network [OSTI]

HEAT 15% 48% BOILER CONOENSER ASSOC. LOSSES LOSSES FIG. 2 - FUEL UTILIZATION EFFECTIVENESS The three types of topping cogeneration cycles usually encountered in industrial practice are steam turbine, gas turbine, and combined cycles... more power than that avail able due to plant he t demands may provide an economically viable option. Gas Turbine and Combined Cycles Gas turbine cycles provide the opportunity to generate a larger power output per unit of heat 39~ required...

Kovacik, J. M.

1983-01-01T23:59:59.000Z

97

System for monitoring an industrial or biological process  

DOE Patents [OSTI]

A method and apparatus for monitoring and responding to conditions of an industrial process. Industrial process signals, such as repetitive manufacturing, testing and operational machine signals, are generated by a system. Sensor signals characteristic of the process are generated over a time length and compared to reference signals over the time length. The industrial signals are adjusted over the time length relative to the reference signals, the phase shift of the industrial signals is optimized to the reference signals and the resulting signals output for analysis by systems such as SPRT.

Gross, Kenneth C. (Argonne, IL); Wegerich, Stephan W. (Argonne, IL); Vilim, Rick B. (Argonne, IL); White, Andrew M. (Skokie, IL)

1998-01-01T23:59:59.000Z

98

Computability in Anonymous Networks: Revocable vs. Irrecovable Outputs  

E-Print Network [OSTI]

Computability in Anonymous Networks: Revocable vs. Irrecovable Outputs Yuval Emek1 , Jochen Seidel2, and leader election. 1 Introduction We study computability in networks, referred to hereafter as distributed

99

Development of Regional Wind Resource and Wind Plant Output Datasets...  

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

50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

100

Sparse Convolved Gaussian Processes for Multi-output Regression  

E-Print Network [OSTI]

the concentration of different heavy metal pollutants [5]. Modelling multiple output variables is a challenge as we methodology for synthetic data and real world applications on pollution prediction and a sensor network. 1

Rattray, Magnus

Note: This page contains sample records for the topic "gdp industrial output" 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

The Effect of Signal Quality on Six Cardiac Output Estimators  

E-Print Network [OSTI]

The effect of signal quality on the accuracy of cardiac output (CO) estimation from arterial blood pressure (ABP) was evaluated using data from the MIMIC II database. Thermodilution CO (TCO) was the gold standard. A total ...

Mark, Roger Greenwood

102

Community Climate System Model (CCSM) Experiments and Output Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.

103

Corticospinal Output to Hindlimb Muscles in the Primate  

E-Print Network [OSTI]

The overall goal of this study was to investigate the properties of corticospinal output to a wide range of hindlimb muscles in the primate and to map the representation of individual muscles in hindlimb motor cortex. ...

Hudson, Heather M

2011-05-31T23:59:59.000Z

104

Grid adaptation for functional outputs of compressible flow simulations  

E-Print Network [OSTI]

An error correction and grid adaptive method is presented for improving the accuracy of functional outputs of compressible flow simulations. The procedure is based on an adjoint formulation in which the estimated error in ...

Venditti, David Anthony, 1973-

2002-01-01T23:59:59.000Z

105

Emerging energy-efficient industrial technologies  

SciTech Connect (OSTI)

U.S. industry consumes approximately 37 percent of the nation's energy to produce 24 percent of the nation's GDP. Increasingly, industry is confronted with the challenge of moving toward a cleaner, more sustainable path of production and consumption, while increasing global competitiveness. Technology will be essential for meeting these challenges. At some point, businesses are faced with investment in new capital stock. At this decision point, new and emerging technologies compete for capital investment alongside more established or mature technologies. Understanding the dynamics of the decision-making process is important to perceive what drives technology change and the overall effect on industrial energy use. The assessment of emerging energy-efficient industrial technologies can be useful for: (1) identifying R&D projects; (2) identifying potential technologies for market transformation activities; (3) providing common information on technologies to a broad audience of policy-makers; and (4) offering new insights into technology development and energy efficiency potentials. With the support of PG&E Co., NYSERDA, DOE, EPA, NEEA, and the Iowa Energy Center, staff from LBNL and ACEEE produced this assessment of emerging energy-efficient industrial technologies. The goal was to collect information on a broad array of potentially significant emerging energy-efficient industrial technologies and carefully characterize a sub-group of approximately 50 key technologies. Our use of the term ''emerging'' denotes technologies that are both pre-commercial but near commercialization, and technologies that have already entered the market but have less than 5 percent of current market share. We also have chosen technologies that are energy-efficient (i.e., use less energy than existing technologies and practices to produce the same product), and may have additional ''non-energy benefits.'' These benefits are as important (if not more important in many cases) in influencing the decision on whether to adopt an emerging technology. The technologies were characterized with respect to energy efficiency, economics, and environmental performance. The results demonstrate that the United States is not running out of technologies to improve energy efficiency and economic and environmental performance, and will not run out in the future. We show that many of the technologies have important non-energy benefits, ranging from reduced environmental impact to improved productivity and worker safety, and reduced capital costs.

Martin, N.; Worrell, E.; Ruth, M.; Price, L.; Elliott, R.N.; Shipley, A.M.; Thorne, J.

2000-10-01T23:59:59.000Z

106

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

SciTech Connect (OSTI)

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

Price, Lynn; Price, Lynn; Wang, Xuejun; Yun, Jiang

2008-06-02T23:59:59.000Z

107

Industrial and Systems engineering  

E-Print Network [OSTI]

Industrial and Systems engineering COLLEGE of ENGINEERING DepartmentofIndustrialandSystemsEngineering EDGE Engineering Entrepreneur Certificate Program is a great addition to an industrial and systems to expert clinical recommendations. engineering.wayne.edu/isefaculty Industrial and systems engineering

Berdichevsky, Victor

108

The world of quantum noise and the fundamental output process  

E-Print Network [OSTI]

A stationary theory of quantum stochastic processes of second order is outlined. It includes KMS processes in wide sense like the equilibrium finite temperature quantum noise given by the Planck's spectral formula. It is shown that for each stationary noise there exists a natural output process output process which is identical to the noise in the infinite temperature limit, and flipping with the noise if the time is reversed at finite temperature. A canonical Hilbert space representation of the quantum noise and the fundamental output process is established and a decomposition of their spectra is found. A brief explanation of quantum stochastic integration with respect to the input-output processes is given using only correlation functions. This provides a mathematical foundation for linear stationary filtering transformations of quantum stochastic processes. It is proved that the colored quantum stationary noise and its time-reversed version can be obtained in the second order theory by a linear nonadapted filtering of the standard vacuum noise uniquely defined by the canonical creation and annihilation operators on the spectrum of the input-output pair.

V. P. Belavkin; O. Hirota; R. Hudson

2005-10-04T23:59:59.000Z

109

Industrial Ecology Master of Science  

E-Print Network [OSTI]

for the long term future of humanity. If all goes well the urban population will double, GDP per capita will triple, a transition will be made to a low carbon energy system and 9 billion people will live `the good Cycles · Resource Scarcity · Agent Based Modelling of Complex Adaptive Systems · Renewable energy systems

Langendoen, Koen

110

CASL Industry Council Meeting  

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

IndustryCouncil.shtml The new members that joined the Industry Council include NPP owneroperators with analysis capability: Tyrone Stevens of Exelon, and SMR vendors:...

111

Uranium industry annual 1997  

SciTech Connect (OSTI)

This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

NONE

1998-04-01T23:59:59.000Z

112

Electric Utility Industry Update  

Broader source: Energy.gov [DOE]

Presentation—given at the April 2012 Federal Utility Partnership Working Group (FUPWG) meeting—covers significant electric industry trends and industry priorities with federal customers.

113

Uranium industry annual 1993  

SciTech Connect (OSTI)

Uranium production in the United States has declined dramatically from a peak of 43.7 million pounds U{sub 3}O{sub 8} (16.8 thousand metric tons uranium (U)) in 1980 to 3.1 million pounds U{sub 3}O{sub 8} (1.2 thousand metric tons U) in 1993. This decline is attributed to the world uranium market experiencing oversupply and intense competition. Large inventories of uranium accumulated when optimistic forecasts for growth in nuclear power generation were not realized. The other factor which is affecting U.S. uranium production is that some other countries, notably Australia and Canada, possess higher quality uranium reserves that can be mined at lower costs than those of the United States. Realizing its competitive advantage, Canada was the world`s largest producer in 1993 with an output of 23.9 million pounds U{sub 3}O{sub 8} (9.2 thousand metric tons U). The U.S. uranium industry, responding to over a decade of declining market prices, has downsized and adopted less costly and more efficient production methods. The main result has been a suspension of production from conventional mines and mills. Since mid-1992, only nonconventional production facilities, chiefly in situ leach (ISL) mining and byproduct recovery, have operated in the United States. In contrast, nonconventional sources provided only 13 percent of the uranium produced in 1980. ISL mining has developed into the most cost efficient and environmentally acceptable method for producing uranium in the United States. The process, also known as solution mining, differs from conventional mining in that solutions are used to recover uranium from the ground without excavating the ore and generating associated solid waste. This article describes the current ISL Yang technology and its regulatory approval process, and provides an analysis of the factors favoring ISL mining over conventional methods in a declining uranium market.

Not Available

1994-09-01T23:59:59.000Z

114

Microwave generated electrodeless lamp for producing bright output  

SciTech Connect (OSTI)

A microwave generated electrodeless light source for producing a bright output comprising a lamp structure including a microwave chamber and a plasma medium-containing lamp envelope having a maximum dimension which is substantially less than a wavelength disposed therein. To provide the desired radiation output the interior of the chamber is coated with a UV-reflective material and the chamber has an opening for allowing UV radiation to exit, which is covered with a metallic mesh. The chamber is arranged to be near-resonant at a single wavelength, and the lamp envelope has a fill including mercury at an operating pressure of 1-2 atmospheres, while a power density of at least 250-300 (watts/cm/sup 3/) is coupled to the envelope to result in a relatively high deep UV output at a relatively high brightness.

Wood, Ch. H.; Ury, M. G.

1985-03-26T23:59:59.000Z

115

Self-consistent input-output formulation of quantum feedback  

SciTech Connect (OSTI)

A simple method of analyzing quantum feedback circuits is presented. The classical analysis of feedback circuits can be generalized to apply to quantum systems by mapping the field operators of various outputs to other inputs via the standard input-output formalism. Unfortunately, this has led to unphysical results such as the violation of the Heisenberg uncertainty principle for in-loop fields. This paper shows that this general approach can be redeemed by ensuring a self-consistently Hermitian Hamiltonian. The calculations are based on a noncommutative calculus of operator derivatives. A full description of several examples of quantum linear and nonlinear feedback for optical systems is presented.

Yanagisawa, M. [Department of Engineering, The Australian National University, Canberra, ACT 0200 (Australia); Hope, J. J. [Department of Quantum Science, The Australian National University, Canberra, ACT 0200 (Australia)

2010-12-15T23:59:59.000Z

116

New Industrial Park Energy Supply for Economical Energy Conservation  

E-Print Network [OSTI]

steam inlet conditions of 550 psig and 825?~. The gross output from this machine is 11.6 MW(ej. Process steam for the industrial users is rdmoved from the turbine cycle at the topping turbi~e exhaust. Approximately 840,000 lb/hr of prdcess steam...

Scott, D.; Marda, R. S.; Hodson, J. S.; Williams, M.

1982-01-01T23:59:59.000Z

117

Changing Trends in the Bulk Chemicals and Pulp and Paper Industries (released in AEO2005)  

Reports and Publications (EIA)

Compared with the experience of the 1990s, rising energy prices in recent years have led to questions about expectations of growth in industrial output, particularly in energy-intensive industries. Given the higher price trends, a review of expected growth trends in selected industries was undertaken as part of the production of Annual Energy Outlook 2005 (AEO). In addition, projections for the industrial value of shipments, which were based on the Standard Industrial Classification (SIC) system in AEO2004, are based on the North American Industry Classification System (NAICS) in AEO2005. The change in industrial classification leads to lower historical growth rates for many industrial sectors. The impacts of these two changes are highlighted in this section for two of the largest energy-consuming industries in the U.S. industrial sector-bulk chemicals and pulp and paper.

2005-01-01T23:59:59.000Z

118

Output Growth and Its Volatility: The Gold Standard through the Great Moderation  

E-Print Network [OSTI]

of real GDP growth and some form of a generalized autoregressive conditional heteroskedasticity (GARCH GARCH or exponential GARCH (EGARCH) process, capturing the movement in volatility. The neglect persistence in the conditional volatility or integrated GARCH (IGARCH). That is, typically all persistence

Ahmad, Sajjad

119

Making Industry Part of the Climate Solution  

SciTech Connect (OSTI)

Improving the energy efficiency of industry is essential for maintaining the viability of domestic manufacturing, especially in a world economy where production is shifting to low-cost, less regulated developing countries. Numerous studies have shown the potential for significant cost-effective energy-savings in U.S. industries, but the realization of this potential is hindered by regulatory, information, workforce, and financial obstacles. This report evaluates seven federal policy options aimed at improving the energy efficiency of industry, grounded in an understanding of industrial decision-making and the barriers to efficiency improvements. Detailed analysis employs the Georgia Institute of Technology's version of the National Energy Modeling System and spreadsheet calculations, generating a series of benefit/cost metrics spanning private and public costs and energy bill savings, as well as air pollution benefits and the social cost of carbon. Two of the policies would address regulatory hurdles (Output-Based Emissions Standards and a federal Energy Portfolio Standard with Combined Heat and Power); three would help to fill information gaps and workforce training needs (the Superior Energy Performance program, Implementation Support Services, and a Small Firm Energy Management program); and two would tackle financial barriers (Tax Lien Financing and Energy-Efficient Industrial Motor Rebates). The social benefit-cost ratios of these policies appear to be highly favorable based on a range of plausible assumptions. Each of the seven policy options has an appropriate federal role, broad applicability across industries, utilizes readily available technologies, and all are administratively feasible.

Lapsa, Melissa Voss [ORNL; Brown, Dr. Marilyn Ann [Georgia Institute of Technology; Jackson, Roderick K [ORNL; Cox, Matthew [Georgia Institute of Technology; Cortes, Rodrigo [Georgia Institute of Technology; Deitchman, Benjamin H [ORNL

2011-06-01T23:59:59.000Z

120

A 350 MHz, 200 kW CW, Multiple Beam Inductive Output Tube - Final Report  

SciTech Connect (OSTI)

This program developed a 200 kW CW, 350 MHz, multiple beam inductive output tube (MBIOT) for driving accelerator cavities. The MBIOT operates at 30 kV with a gain of 23 dB. The estimated efficiency is 70%. The device uses seven electron beams, each transmitting 1.4 A of current. The tube is approximately six feet long and weighs approximately 400 lbs. The prototype device will be evaluated as a potential RF source for the Advanced Photon Source at Argonne National Laboratory (ANL). Because of issues related to delivery of the electron guns, it was not possible to complete assembly and test of the MBIOT during the Phase II program. The device is being completed with support from Calabazas Creek Research, Inc., Communications & Power Industries, LLC. and the Naval Surface Weapons Center (NSWC) in Dahlgren, VA. The MBIOT will be initially tested at NSWC before delivery to ANL. The testing at NSWC is scheduled for February 2013.

R.Lawrece Ives; George Collins; David Marsden Michael Read; Edward Eisen; Takuchi Kamura, Philipp Borchard

2012-11-28T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS The Master of Science in Industrial Engineering (M Systems and Engineering (M.S.M.S.E.), the Doctor of Philosophy in Industrial Engineering, and the Doctor of Philosophy in Systems and Engineering Management programs prepare competent industrial engineers

Gelfond, Michael

122

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board May 5th, 2011 #12;Mechanical & Industrial Engineering 2 IAB 2010-2011 · David K. Anderson ­ Alden Research Laboratory, Inc went on for three weeks Mechanical & Industrial Engineering 6 #12;Reza Shahbazian Yassar Mechanical

Mountziaris, T. J.

123

Industry Analysis February 2013  

E-Print Network [OSTI]

technology ­ Clean tech/ clean technology #12;7 Industry Studies · IbisWorld ­ U.S. and global industry-Industries · Biodiesel ­ Biofuel ­ Alternate fuels ­ Green fuels ­ Renewable fuels/energy ­ Green energy ­ Green Canada, Census, Industry Canada, the OECD, European Union, IMF, World Bank, UN . . . Never pay for stats

Abolmaesumi, Purang

124

MODELING MULTI-OUTPUT FILTERING EFFECTS IN PCMOS Anshul Singh*  

E-Print Network [OSTI]

MODELING MULTI-OUTPUT FILTERING EFFECTS IN PCMOS Anshul Singh* , Arindam Basu , Keck-Voon Ling* and Vincent J. Mooney III*$§ Email: anshul.singh@research.iiit.ac.in, {arindam.basu, ekvling}@ntu, Nanyang Technological University (NTU), Singapore * NTU-Rice Institute of Sustainable and Applied

Mooney, Vincent

125

Control of fuel cell power output Federico Zenith, Sigurd Skogestad *  

E-Print Network [OSTI]

Control of fuel cell power output Federico Zenith, Sigurd Skogestad * Department of Chemical A simplified dynamic model for fuel cells is developed, based on the concept of instantaneous characteristic, which is the set of values of current and voltage that a fuel cell can reach instantaneously

Skogestad, Sigurd

126

Convergent relaxations of polynomial matrix inequalities and static output feedback  

E-Print Network [OSTI]

(LMI) relaxations to solve non-convex polynomial matrix in- equality (PMI) optimization problems minimizers that satisfy the PMI. The approach is successfully applied to PMIs arising from static output- mulated as polynomial matrix inequality (PMI) optimization problems in the controller parameters

Henrion, Didier

127

Output-Sensitive Algorithms for Tukey Depth and Related Problems  

E-Print Network [OSTI]

Output-Sensitive Algorithms for Tukey Depth and Related Problems David Bremner University of New de Bruxelles Pat Morin Carleton University Abstract The Tukey depth (Tukey 1975) of a point p halfspace that contains p. Algorithms for computing the Tukey depth of a point in various dimensions

Morin, Pat

128

TRICOLOR LIGHT EMITTING DIODE DOT MATRIX DISPLAY SYSTEM WITHAUDIO OUTPUT  

E-Print Network [OSTI]

1 TRICOLOR LIGHT EMITTING DIODE DOT MATRIX DISPLAY SYSTEM WITHAUDIO OUTPUT Grantham Pang, Chi emitting diodes; tricolor display; audio communication. I. Introduction This paper relates to a tricolor broadcasting through the visible light rays transmitted by the display panel or assembly. Keywords: light

Pang, Grantham

129

Soft-Input Soft-Output Sphere Decoding Christoph Studer  

E-Print Network [OSTI]

Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft, 8092 Zurich, Switzerland Email: studer@iis.ee.ethz.ch Helmut Bölcskei Communication Technology

130

The effects of output transformers on distortion in audio amplifiers  

E-Print Network [OSTI]

Introduction ~. . . . . . . . , . . . . . . ~. . . . . 7 Frequency Discrimination. . . . . . . . . . . . . . . . 9 Harmonic Distortion. ~ ~. . . . ~ 21 Distortion by the Intermodulationmethod. . . . . . . . 47 Comparison of Harmonic and Intermodulation... current in the primary as a function of frequency . 19 Output voltage of transformer 3 without direct current in the primary as a function of frequency 20 Block diagram for measuring distortion by the harmonic method 26 Per cent harmonic distortion...

Lanier, Ross Edwin

1949-01-01T23:59:59.000Z

131

The continuity of the output entropy of positive maps  

SciTech Connect (OSTI)

Global and local continuity conditions for the output von Neumann entropy for positive maps between Banach spaces of trace-class operators in separable Hilbert spaces are obtained. Special attention is paid to completely positive maps: infinite dimensional quantum channels and operations. It is shown that as a result of some specific properties of the von Neumann entropy (as a function on the set of density operators) several results on the output entropy of positive maps can be obtained, which cannot be derived from the general properties of entropy type functions. In particular, it is proved that global continuity of the output entropy of a positive map follows from its finiteness. A characterization of positive linear maps preserving continuity of the entropy (in the following sense: continuity of the entropy on an arbitrary subset of input operators implies continuity of the output entropy on this subset) is obtained. A connection between the local continuity properties of two completely positive complementary maps is considered. Bibliography: 21 titles.

Shirokov, Maxim E [Steklov Mathematical Institute, Russian Academy of Sciences, Moscow (Russian Federation)

2011-10-31T23:59:59.000Z

132

Maximizing output from oil reservoirs without water breakthrough  

E-Print Network [OSTI]

Maximizing output from oil reservoirs without water breakthrough S.K. Lucas School of Mathematics, revised May 2003, published 45(3), 2004, 401­422 Abstract Often in oil reservoirs a layer of water lies, for example, Muskat [8], Bear [1]). When oil is removed from the reservoir by an oil well, it will generate

Lucas, Stephen

133

INTRODUCTION The power industry is at the dawn of a new era  

E-Print Network [OSTI]

that there may be almost 81 percent drop in output power over the span of just five minutes in a solar photoINTRODUCTION The power industry is at the dawn of a new era of transformation, triggered witnessed an increasing focus on the next gener- ation power grid from both industry and research. The goals

Shihada, Basem

134

Optical device with conical input and output prism faces  

DOE Patents [OSTI]

A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

Brunsden, Barry S. (Chicago, IL)

1981-01-01T23:59:59.000Z

135

Simple SPICE model for comparison of CMOS output driver circuits  

E-Print Network [OSTI]

to monitor the ground nodes of output driver circuits for noise. Both relative performance and noise levels are generated through the simulations. A test device was built to confirm that the model was effective in speed and noise comparisons. Values were... on CMOS technologies. Journal model is IEEE 'I?ansactions on Automatic Control. A. Literature Survey Research has been done in the past concerning noise generated by digital logic de- vices. In particular, Advanced CMOS Logic (ACL) integrated circuits...

Hermann, John Karl

1993-01-01T23:59:59.000Z

136

Reliable Gas Turbine Output: Attaining Temperature Independent Performance  

E-Print Network [OSTI]

RELIABLE GAS TURBINE OUTPUT; ATTAINING TEMPERATURE INDEPENDENT PERFORMANCE James E. Neeley, P.E. Power Plant Engineer Public Utility Commission of Texas Austin, Texas ABSTRACT Improvements in gas turbine efficiency, coupled... with dropping gas prices, has made gas turbines a popular choice of utilities to supply peaking as well as base load power in the form of combined cycle power plants. Today, because of the gas turbine's compactness, low maintenance, and high levels...

Neeley, J. E.; Patton, S.; Holder, F.

137

Development of output user interface software to support analysis  

SciTech Connect (OSTI)

Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu{sup 239} and Pu{sup 241}. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

Wahanani, Nursinta Adi, E-mail: sintaadi@batan.go.id; Natsir, Khairina, E-mail: sintaadi@batan.go.id; Hartini, Entin, E-mail: sintaadi@batan.go.id [Center for Development of Nuclear Informatics - National Nuclear Energy Agency, PUSPIPTEK, Serpong, Tangerang, Banten (Indonesia)

2014-09-30T23:59:59.000Z

138

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY  

E-Print Network [OSTI]

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY SUMMER 2013 Industrial Engineering COOP Student needed-Fri, for summer 2013. Student must be enrolled in BS Engineering program. (Preferably completed 2-3 yrs

Pohl, Karsten

139

Demographics and industry returns  

E-Print Network [OSTI]

Industry category Child care Children’s books Children’s clothing Toysindustry Child care Children’s books Children’s clothing ToysIndustries are associated with high demand by children (child care, toys) and

Pollet, Joshua A.; DellaVigna, Stefano

2007-01-01T23:59:59.000Z

140

Electrotechnologies in Process Industries  

E-Print Network [OSTI]

The Industrial Program at the Electric Power Research Institute (EPRI) promotes the efficient use of electricity to improve the competitive position of the American industry. Electrotechnologies that improve productivity, improve quality...

Amarnath, K. R.

Note: This page contains sample records for the topic "gdp industrial output" 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

The Industrial Electrification Program  

E-Print Network [OSTI]

EPRI's role as the research organization of the electric power industry, in coordination with potential user industries, is to 1) define the viability of candidate electrification technologies by monitoring the state-of-the-art and continuously...

Harry, I. L.

1982-01-01T23:59:59.000Z

142

Geothermal Industry Partnership Opportunities  

Broader source: Energy.gov [DOE]

Here you'll find links to information about partnership opportunities and programs for the geothermal industry.

143

Photovoltaics industry profile  

SciTech Connect (OSTI)

A description of the status of the US photovoltaics industry is given. Principal end-user industries are identified, domestic and foreign market trends are discussed, and industry-organized and US government-organized trade promotion events are listed. Trade associations and trade journals are listed, and a photovoltaic product manufacturers list is included. (WHK)

None

1980-10-01T23:59:59.000Z

144

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering Mario A. Rotea Professor and Department Head #12;2Mechanical & Industrial Engineering Outline · Undergraduate Degree Programs · Graduate Degree Programs · The Faculty · The Research · Summary #12;3Mechanical & Industrial Engineering Undergraduate Programs ­ BSME & BSIE 0 20 40 60

Mountziaris, T. J.

145

INDUSTRIAL AND BIOMEDICAL APPLICATIONS  

E-Print Network [OSTI]

INDUSTRIAL AND BIOMEDICAL APPLICATIONS Frank Smith, Nicholas Ovenden and Richard Purvis University are described, one industrial on violent water-air interaction during an impact process and the other biomedical: industrial, biomedical, impacts, networks, theory, computation, scales. 1. INTRODUCTION It is a pleasure

Purvis, Richard

146

Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

INTERACTING WITH THE PHARMACEUTICAL INDUSTRY Stephen R.to interactions with the pharmaceutical industry! This is ancome from the pharmaceutical industry. It is also reality

Hayden, Stephen R

2003-01-01T23:59:59.000Z

147

Uranium industry annual 1994  

SciTech Connect (OSTI)

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

148

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take of industries including consulting, technology development, software, supply chain manufacturing, engineering

Rohs, Remo

149

NCPART: management of ICEMDDN output for numerical control users  

SciTech Connect (OSTI)

NCPART is a procedure developed by the Numerical Control Department at Bendix Kansas City Division to handle the entry to and exit from ICEMDDN, and process all of the local files output by ICEMDDN. The NCPART procedure is menu driven, and provides automatic access to ICEMDDN and any files necessary to process information with ICEM for numerical Control users. Basically, the procedure handles all of the ICEMDDN operations that involve operating system commands, and frees the NC programmer to concentrate on his/her work as a programmer.

Rossini, B.F.

1986-04-01T23:59:59.000Z

150

Waveguide submillimetre laser with a uniform output beam  

SciTech Connect (OSTI)

A method for producing non-Gaussian light beams with a uniform intensity profile is described. The method is based on the use of a combined waveguide quasi-optical resonator containing a generalised confocal resonator with an inhomogeneous mirror with absorbing inhomogeneities discretely located on its surface and a hollow dielectric waveguide whose size satisfies the conditions of self-imaging of a uniform field in it. The existence of quasi-homogeneous beams at the output of an optically pumped 0.1188-mm waveguide CH{sub 3}OH laser with a amplitude-stepped mirror is confirmed theoretically and experimentally. (lasers)

Volodenko, A V; Gurin, O V; Degtyarev, A V; Maslov, Vyacheslav A; Svich, V A; Topkov, A N [V.N. Karazin Kharkiv National University, Kharkiv (Ukraine)

2007-01-31T23:59:59.000Z

151

Output-Based Error Estimation and Adaptation for Uncertainty Quantification  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNG IHDR€ÍSolar Energy SystemsFebruary 7-8,March 8,8)Normal 27 1 54InOutput-Based

152

Green Buildings in Green Cities: Integrating Energy Efficiency into the Real Estate Industry  

E-Print Network [OSTI]

Energy Star, the highest correlation is with metropolitan area GDP perEnergy Star buildings in total building stock as dependent variable, only GDP perEnergy Star LEED I II III I II III rentable building area number of stories year built classA classB GDP per

Bardhan, Ashok; Kroll, Cynthia A.

2011-01-01T23:59:59.000Z

153

Method and system for managing an electrical output of a turbogenerator  

DOE Patents [OSTI]

The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

2010-08-24T23:59:59.000Z

154

Industrial Security Specialst  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve in a developmental capacity assisting senior specialists in carrying out a variety of industrial security and oversight functions.

155

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Boiler, Steam, and Cogeneration (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces...

156

Design of a 3.3 V analog video line driver with controlled output impedance  

E-Print Network [OSTI]

impedance of the line. The main requirements for design are high output swing, high linearity, matched impedance to the line and power efficiency. These requirements are addressed by a class AB amplifier whose output impedance can be controlled through...

Ramachandran, Narayan Prasad

2004-09-30T23:59:59.000Z

157

Predicting the Power Output of Distributed Renewable Energy Resources within a Broad Geographical Region  

E-Print Network [OSTI]

Predicting the Power Output of Distributed Renewable Energy Resources within a Broad Geographical potentially dis- tributed renewable energy resources (su years, estimating the power output of in- herently intermittent and potentially distributed renewable

Chalkiadakis, Georgios

158

Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains  

E-Print Network [OSTI]

Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains beamforming for a multiple input single output (MISO) ad hoc network to increase the density of successful

Paris-Sud XI, Université de

159

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

160

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

Note: This page contains sample records for the topic "gdp industrial output" 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

Sector trends and driving forces of global energy use and greenhouse gas emissions: focus in industry and buildings  

SciTech Connect (OSTI)

Disaggregation of sectoral energy use and greenhouse gas emissions trends reveals striking differences between sectors and regions of the world. Understanding key driving forces in the energy end-use sectors provides insights for development of projections of future greenhouse gas emissions. This report examines global and regional historical trends in energy use and carbon emissions in the industrial, buildings, transport, and agriculture sectors, with a more detailed focus on industry and buildings. Activity and economic drivers as well as trends in energy and carbon intensity are evaluated. The authors show that macro-economic indicators, such as GDP, are insufficient for comprehending trends and driving forces at the sectoral level. These indicators need to be supplemented with sector-specific information for a more complete understanding of future energy use and greenhouse gas emissions.

Price, Lynn; Worrell, Ernst; Khrushch, Marta

1999-09-01T23:59:59.000Z

162

The electrical and lumen output characteristics of an RF lamp  

SciTech Connect (OSTI)

Low pressure rf discharges have been studied for over a century. Their first practical application for lighting was proposed by Tesla in 1891. Since then hundreds of patents have been published attempting to implement rf lighting. However, progress in understanding rf discharge phenomena (mostly driven by plasma processing needs) and dramatic improvement in the performance/cost ratio of rf power sources have recently opened the door for development of rf light sources. Today commercial inductively coupled electrodeless lamps are offered by Matsuhita, Philips and GE. In this work the authors present measurements of the electrical characteristics and lumen output from a 2.65 MHz driven inductively coupled light source. Measurements were made on a spherical lamp of 3.125 inch diameter with a re-entrant cavity that houses a cylindrical ferrite core around which is wrapped the primary coil.

Alexandrovich, B.M.; Godyak, V.A.; Piejak, R.B. [Osram Sylvania Inc., Beverly, MA (United States)

1996-12-31T23:59:59.000Z

163

Quantum teleportation scheme by selecting one of multiple output ports  

E-Print Network [OSTI]

The scheme of quantum teleportation, where Bob has multiple (N) output ports and obtains the teleported state by simply selecting one of the N ports, is thoroughly studied. We consider both deterministic version and probabilistic version of the teleportation scheme aiming to teleport an unknown state of a qubit. Moreover, we consider two cases for each version: (i) the state employed for the teleportation is fixed to a maximally entangled state, and (ii) the state is also optimized as well as Alice's measurement. We analytically determine the optimal protocols for all the four cases, and show the corresponding optimal fidelity or optimal success probability. All these protocols can achieve the perfect teleportation in the asymptotic limit of $N\\to\\infty$. The entanglement properties of the teleportation scheme are also discussed.

Satoshi Ishizaka; Tohya Hiroshima

2009-04-06T23:59:59.000Z

164

A Framework to Determine the Probability Density Function for the Output Power of Wind Farms  

E-Print Network [OSTI]

A Framework to Determine the Probability Density Function for the Output Power of Wind Farms Sairaj to the power output of a wind farm while factoring in the availability of the wind turbines in the farm availability model for the wind turbines, we propose a method to determine the wind-farm power output pdf

Liberzon, Daniel

165

Geothermal industry assessment  

SciTech Connect (OSTI)

An assessment of the geothermal industry is presented, focusing on industry structure, corporate activities and strategies, and detailed analysis of the technological, economic, financial, and institutional issues important to government policy formulation. The study is based principally on confidential interviews with executives of 75 companies active in the field. (MHR)

Not Available

1980-07-01T23:59:59.000Z

166

Growing Hawaii's agriculture industry,  

E-Print Network [OSTI]

Program Overview Growing Hawaii's agriculture industry, one business at a time Website: http-3547 agincubator@ctahr.hawaii.edu Grow Your Business If you are looking to start an agriculture-related business with our program · Positively impact the agriculture industry in Hawaii with their success

167

and Industrial Engineering  

E-Print Network [OSTI]

45 Mechanical and Industrial Engineering 220 Engineering Lab Degrees: Bachelor of Science in Mechanical Engineering Bachelor of Science in Industrial Engineering Contact: James R. Rinderle, Undergraduate Program Director Office: 207C Engineering Lab Building Phone: (413) 545-2505 Head of Department

Mountziaris, T. J.

168

Industrial Optimization Compact Course  

E-Print Network [OSTI]

Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17­20, 2014 ·9.00­17.00 IWR ·Im Neuenheimer Feld 368 ·69120 Heidelberg www

Kirches, Christian

169

Uranium industry annual 1996  

SciTech Connect (OSTI)

The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

NONE

1997-04-01T23:59:59.000Z

170

Posted 3/2/13 Medline Industries Industrial Engineer  

E-Print Network [OSTI]

Posted 3/2/13 Medline Industries ­ Industrial Engineer Medline Industries, Inc. has an immediate opening for an Industrial Engineer for our SPT Division located in Waukegan, IL. We are seeking a hard-working, detail-oriented professional with experience in industrial engineering and lean manufacturing within

Heller, Barbara

171

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

172

INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in todays global marketplace. The Industrial and Systems engineers task is to take limited Industrial and Systems Engineering Bachelor of Science 128 units Industrial and Systems Engineering

Rohs, Remo

173

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

174

Fail safe controllable output improved version of the electromechanical battery  

DOE Patents [OSTI]

Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition. 4 figs.

Post, R.F.

1999-01-19T23:59:59.000Z

175

SARAH 3.2: Dirac Gauginos, UFO output, and more  

E-Print Network [OSTI]

SARAH is a Mathematica package optimized for the fast, efficient and precise study of supersymmetric models beyond the MSSM: a new model can be defined in a short form and all vertices are derived. This allows SARAH to create model files for FeynArts/FormCalc, CalcHep/CompHep and WHIZARD/OMEGA. The newest version of SARAH now provides the possibility to create model files in the UFO format which is supported by MadGraph 5, MadAnalysis, GoSam, and soon by Herwig++. Furthermore, SARAH also calculates the mass matrices, RGEs and one-loop corrections to the mass spectrum. This information is used to write source code for SPheno in order to create a precision spectrum generator for the given model. This spectrum-generator-generator functionality as well as the output of WHIZARD and CalcHep model files have seen further improvement in this version. Also models including Dirac Gauginos are supported with the new version of SARAH, and additional checks for the consistency of model implementations have been created.

Florian Staub

2013-02-12T23:59:59.000Z

176

Load Management for Industry  

E-Print Network [OSTI]

In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

Konsevick, W. J., Jr.

1982-01-01T23:59:59.000Z

177

Utility and Industrial Partnerships  

E-Print Network [OSTI]

In the past decade, many external forces have shocked both utilities and their large industrial customers into seeking more effective ways of coping and surviving. One such way is to develop mutually beneficial partnerships optimizing the use...

Sashihara, T. F.

178

Uranium Industry Annual, 1992  

SciTech Connect (OSTI)

The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

Not Available

1993-10-28T23:59:59.000Z

179

Industrial Assessment Center  

SciTech Connect (OSTI)

The University of Dayton (UD) performed energy assessments, trained students and supported USDOE objectives. In particular, the UD Industrial Assessment Center (IAC) performed 96 industrial energy assessment days for mid-sized manufacturers. The average identified and implemented savings on each assessment were $261,080 per year and $54,790 per year. The assessments served as direct training in industrial energy efficiency for 16 UD IAC students. The assessments also served as a mechanism for the UD IAC to understand manufacturing energy use and improve upon the science of manufacturing energy efficiency. Specific research results were published in 16 conference proceedings and journals, disseminated in 22 additional invited lectures, and shared with the industrial energy community through the UD IAC website.

J. Kelly Kissock; Becky Blust

2007-04-17T23:59:59.000Z

180

Challenges for implementing industrial policy in Mexico  

E-Print Network [OSTI]

Although Mexico experienced high growth rates in the 1960s, 1970s, and early 1980s, the country has not fared well in terms of improvements in poverty and equality, growth in GDP, and job growth in some sectors in the last ...

Leith, Kendra Sawyer

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "gdp industrial output" 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

Industrial Development Fund (North Carolina)  

Broader source: Energy.gov [DOE]

The Industrial Development Fund provides financing grants and loans through designated municipalities and counties to assist in infrastructure improvements for targeted industrial projects. The...

182

Clean Energy Manufacturing Initiative Industrial Efficiency and...  

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

Industrial Efficiency and Energy Productivity Video Clean Energy Manufacturing Initiative Industrial Efficiency and Energy Productivity Video Addthis Description Industrial...

183

Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst  

E-Print Network [OSTI]

9/13/2007 Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst Department of Mechanical and Industrial Engineering About the Mechanical and Industrial Engineering Industry Advisory Board The purpose of the Mechanical and Industrial Engineering Industry Advisory

Mountziaris, T. J.

184

Iron and steel industry process model  

SciTech Connect (OSTI)

The iron and steel industry process model depicts expected energy-consumption characteristics of the iron and steel industry and ancillary industries for the next 25 years by means of a process model of the major steps in steelmaking, from ore mining and scrap recycling to the final finishing of carbon, alloy, and stainless steel into steel products such as structural steel, slabs, plates, tubes, and bars. Two plant types are modeled: fully integrated mills and mini-mills. User-determined inputs into the model are as follows: projected energy and materials prices; projected costs of capacity expansion and replacement; energy-conserving options, both operating modes and investments; the internal rate of return required on investment; and projected demand for finished steel. Nominal input choices in the model for the inputs listed above are as follows: National Academy of Sciences Committee on Nuclear and Alternative Energy Systems Demand Panel nominal energy-price projections for oil, gas, distillates, residuals, and electricity and 1975 actual prices for materials; actual 1975 costs; new technologies added; 15% after taxes; and 1975 actual demand with 1.5%/y growth. The model reproduces the base-year (1975) actual performance of the industry; then, given the above nominal input choices, it projects modes of operation and capacity expansion that minimize the cost of meeting the given final demands for each of 5 years, each year being the midpoint of a 5-year interval. The output of the model includes the following: total energy use and intensity (Btu/ton) by type, by process, and by time period; energy conservation options chosen; utilization rates for existing capacity; capital-investment decisions for capacity expansion.

Sparrow, F.T.; Pilati, D.; Dougherty, T.; McBreen, E.; Juang, L.L.

1980-01-01T23:59:59.000Z

185

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take s e n G i n e e r i n G ( i s e ) ISE 105 Introduction to Industrial and Systems Engineering (2, Fa

Rohs, Remo

186

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take to introduce the philosophy, subject matter, aims, goals, and techniques of industrial and systems engineering

Rohs, Remo

187

1 Industrial Electron Accelerators type ILU for Industrial Technologies  

E-Print Network [OSTI]

1 Industrial Electron Accelerators type ILU for Industrial Technologies The present work describes industrial electron accelerators of the ILU family. Their main parameters, design, principle of action the pulse linear accelerators type ILU are developed and supplied to the industry. The ILU machines

188

MECH 386 INDUSTRIAL FLUID MECHANICS INDUSTRIAL FLUID MECHANICS  

E-Print Network [OSTI]

MECH 386 ­ INDUSTRIAL FLUID MECHANICS 1 INDUSTRIAL FLUID MECHANICS MECH 386 Contact information Dr This course is an introduction to industrial fluid mechanics. According to J. C. R. Hunt (a famous fluid mechanics specialist): "industrial fluid mechanics broadly covers those aspects of the design, manufacture

189

INTRODUCTION The power output of insect flight muscles is proportional to muscle  

E-Print Network [OSTI]

#12;2239 INTRODUCTION The power output of insect flight muscles is proportional to muscle polaris) to forage in suboptimal thermal conditions (Heinrich, 1993). Recently, bumble bee (Bombus

Nieh, James

190

Combining frequency and time domain approaches to systems with multiple spike train input and output  

E-Print Network [OSTI]

between neuronal spike trains. Prog Biophys Mol Biol Vapnikto systems with multiple spike train input and output D. R.Keywords Multiple spike trains · Neural coding · Maximum

Brillinger, D. R.; Lindsay, K. A.; Rosenberg, J. R.

2009-01-01T23:59:59.000Z

191

Industrial Decision Making  

E-Print Network [OSTI]

-05-30 Proceedings from the Thirtieth Industrial Energy Technology Conference, New Orleans, LA, May 6-9, 2008. Figure 1. Average Monthly Industrial Energy Prices (2) - 5 10 15 20 25 J an- 0 0 Ju l -0 0 Ja n- 0 1 Ju l -0 1 Ja n - 02 Ju l -0 2 Ja n - 0 3 Ju l - 0 3... Ja n - 0 4 J u l-04 Ja n - 0 5 Jul - 0 5 J an- 0 6 Jul - 0 6 Ja n- 07 Jul - 0 7 Ener gy Pr ic e ($ /MB t u) Electricity Fuel Oil Natural Gas Coal External market forces also drive industrial investment cycles. In the organic chemical...

Elliott, R. N.; McKinney, V.; Shipley, A.

2008-01-01T23:59:59.000Z

192

Emulsified industrial oils recycling  

SciTech Connect (OSTI)

The industrial lubricant market has been analyzed with emphasis on current and/or developing recycling and re-refining technologies. This task has been performed for the United States and other industrialized countries, specifically France, West Germany, Italy and Japan. Attention has been focused at emulsion-type fluids regardless of the industrial application involved. It was found that emulsion-type fluids in the United States represent a much higher percentage of the total fluids used than in other industrialized countries. While recycling is an active matter explored by the industry, re-refining is rather a result of other issues than the mere fact that oil can be regenerated from a used industrial emulsion. To extend the longevity of an emulsion is a logical step to keep expenses down by using the emulsion as long as possible. There is, however, another important factor influencing this issue: regulations governing the disposal of such fluids. The ecological question, the respect for nature and the natural balances, is often seen now as everybody's task. Regulations forbid dumping used emulsions in the environment without prior treatment of the water phase and separation of the oil phase. This is a costly procedure, so recycling is attractive since it postpones the problem. It is questionable whether re-refining of these emulsions - as a business - could stand on its own if these emulsions did not have to be taken apart for disposal purposes. Once the emulsion is separated into a water and an oil phase, however, re-refining of the oil does become economical.

Gabris, T.

1982-04-01T23:59:59.000Z

193

Libyan oil industry  

SciTech Connect (OSTI)

Three aspects of the growth and progress of Libya's oil industry since the first crude oil discovery in 1961 are: (1) relations between the Libyan government and the concessionary oil companies; (2) the impact of Libyan oil and events in Libya on the petroleum markets of Europe and the world; and (3) the response of the Libyan economy to the development of its oil industry. The historical review begins with Libya's becoming a sovereign nation in 1951 and traces its subsequent development into a position as a leading world oil producer. 54 references, 10 figures, 55 tables.

Waddams, F.C.

1980-01-01T23:59:59.000Z

194

Industrial Assessment Center  

SciTech Connect (OSTI)

Since its inception, the University of Florida Industrial Assessment Center has successfully completed close to 400 energy assessments of small to medium manufacturing facilities in Florida, southern Georgia and southern Alabama. Through these efforts, recommendations were made that would result in savings of about $5 million per year, with an implementation rate of 20-25%. Approximately 80 engineering students have worked for the UF-IAC, at least 10 of whom went on to work in energy related fields after graduation. Additionally, through the popular course in Industrial Energy Management, many students have graduated from the University of Florida with a strong understanding and support of energy conservation methods.

Dr. Diane Schaub

2007-03-05T23:59:59.000Z

195

1989 Industry Directory  

SciTech Connect (OSTI)

Solid Waste Power's 1989 Industry Directory is divided into three main sections: the Company Directory, the Service Directory, and the Product Directory. The Company Directory lists all companies involved in the waste-to-energy industry that responded to a survey Solid Waste Power conducted in the fall of 1988. Companies are listed alphabetically. Each of the companies in the Company Directory is further referenced in the Service and Product directories follow. The Service and Product directories are broken down into various categories. Within each category is a list of the names of companies identified themselves as providing the service or product. Preceding the Service and Product directories is the Category Index.

Not Available

1998-12-01T23:59:59.000Z

196

Solar industrial process heat  

SciTech Connect (OSTI)

The aim of the assessment reported is to candidly examine the contribution that solar industrial process heat (SIPH) is realistically able to make in the near and long-term energy futures of the United States. The performance history of government and privately funded SIPH demonstration programs, 15 of which are briefly summarized, and the present status of SIPH technology are discussed. The technical and performance characteristics of solar industrial process heat plants and equipment are reviewed, as well as evaluating how the operating experience of over a dozen SIPH demonstration projects is influencing institutional acceptance and economoc projections. Implications for domestic energy policy and international implications are briefly discussed. (LEW)

Lumsdaine, E.

1981-04-01T23:59:59.000Z

197

Developing an energy efficiency service industry in Shanghai  

SciTech Connect (OSTI)

The rapid development of the Chinese economy over the past two decades has led to significant growth in China's energy consumption and greenhouse gas (GHG) emissions. Between 1980 and 2000, China's energy consumption more than doubled from 602 million to 1.3 billion tons of coal-equivalent (NBS, 2003). In 2000, China's GHG emissions were about 12% of the global total, ranked second behind only the US. According to the latest national development plan issued by the Chinese government, China's energy demand is likely to double again by 2020 (DRC, 2004), based on a quadrupling of its gross domestic product (GDP). The objectives of the national development plan imply that China needs to significantly raise the energy efficiency of its economy, i.e., cutting the energy intensity of its economy by half. Such goals are extremely ambitious, but not infeasible. China has achieved such reductions in the past, and its current overall level of energy efficiency remains far behind those observed in other developed economies. However, challenges remain whether China can put together an appropriate policy framework and the institutions needed to improve the energy efficiency of its economy under a more market-based economy today. Shanghai, located at the heart of the Yangtze River Delta, is the most dynamic economic and financial center in the booming Chinese economy. With 1% of Chinese population (13 million inhabitants), its GDP in 2000 stood at 455 billion RMB yuan (5% of the national total), with an annual growth rate of 12%--much higher than the national average. It is a major destination for foreign as well as Chinese domestic investment. In 2003, Shanghai absorbed 10% of actual foreign investment in all China (''Economist'', January 17-23, 2004). Construction in Shanghai continues at a breakneck pace, with an annual addition of approximately 200 million square foot of residential property and 100 million square foot of commercial and industrial space over the last 5 years. It is one reason that China consumed over 60% of the world's cement production in 2003 (NBS 2004). Energy consumption in Shanghai has been growing at 6-8% annually, with the growth of electricity demand at over 10% per year. Shanghai, with very limited local energy resources, relies heavily on imported coal, oil, natural gas, and electricity. While coal still constitutes over half of Shanghai's energy consumption, oil and natural gas use have been growing in importance. Shanghai is the major market for China's West to East (natural gas) Pipeline (WEP). With the input from WEP and off-shore pipelines, it is expected that natural gas consumption will grow from 250 million cubic meters in 2000 to 3000-3500 million cubic meters in 2005. In order to secure energy supply to power Shanghai's fast-growing economy, the Shanghai government has set three priorities in its energy strategy: (1) diversification of its energy structure, (2) improving its energy efficiency, and (3) developing renewable and other cleaner forms of energy. Efficiency improvements are likely to be most critical, particularly in the near future, in addressing Shanghai's energy security, especially the recent electricity shortage in Shanghai. Commercial buildings and industries consume the majority of Shanghai's, as well as China's, commercial energy. In the building sector, Shanghai has been very active implementing energy efficiency codes for commercial and residential buildings. Following a workshop on building codes implementation held at LBNL for senior Shanghai policy makers in 2001, the Shanghai government recently introduced an implementation guideline on residential building energy code compliance for the downtown area of Shanghai to commence in April, 2004, with other areas of the city to follow in 2005. A draft code for commercial buildings has been developed as well. In the industrial sector, the Shanghai government started an ambitious initiative in 2002 to induce private capital to invest in energy efficiency improvements via energy management/services companies (EMC/ESCOs). In partic

Lin, Jiang; Goldman, Charles; Levine, Mark; Hopper, Nicole

2004-02-10T23:59:59.000Z

198

ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

199

Industrial Energy Use Indices  

E-Print Network [OSTI]

of variations for all industry types in warm versus cold regions of the U.S. generally is greater than unity. Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used...

Hanegan, A.; Heffington, W. M.

2007-01-01T23:59:59.000Z

200

Industry Partners Panel  

Broader source: Energy.gov [DOE]

Industry Panel presenters include: Michael G. Andrew, Director - Academic and Technical Programs, Advanced Products and Materials, Johnson Controls Power Solutions Michael A. Fetcenko, Vice President and Managing Director, BASF Battery Materials – Ovonic, BASF Corporation Adam Kahn, Founder and CEO, AKHAN Technologies, Inc. Stephen E. Zimmer, Executive Director, United States Council for Automotive Research (USCAR)

Note: This page contains sample records for the topic "gdp industrial output" 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

INTERMOUNTAIN INDUSTRIAL ASSESSMENT CENTER  

SciTech Connect (OSTI)

The U. S. Department of Energy’s Intermountain Industrial Assessment Center (IIAC) at the University of Utah has been providing eligible small- and medium-sized manufacturers with no-cost plant assessments since 2001, offering cost-effective recommendations for improvements in the areas of energy efficiency, pollution prevention, and productivity improvement.

MELINDA KRAHENBUHL

2010-05-28T23:59:59.000Z

202

Industrial Retrofits are Possible  

E-Print Network [OSTI]

Ontario is the industrial heartland of Canada and more than 80% of its energy comes from Canadian sources with the remainder from the neighbouring U.S. states. Because of the ever increasing demand for energy relating to increased economic activity...

Stobart, E. W.

203

Petroleum industry in Iran  

SciTech Connect (OSTI)

This study examines the oil industry in Iran from the early discovery of oil nearly two hundred years ago in Mazandaran (north part) to the development of a giant modern industry in the twentieth century. Chapter I presents a brief historical setting to introduce the reader to the importance of oil in Iran. It focuses on the economic implications of the early oil concessions in the period 1901 to 1951. Chapter II discusses the nationalization of the Iranian oil industry and creation of NIOC in 1951 and the international political and economic implication of these activities. Chapter III explains the activities of NIOC in Iran. Exploration and drilling, production, exports, refineries, natural gas, petrochemicals and internal distributions are studied. Chapter IV discusses the role of the development planning of Iran. A brief presentation of the First Development Plan through the Fifth Development Plan is given. Sources and uses of funds by plan organization during these Five Plans is studied. The Iran and Iraq War is also studied briefly, but the uncertainty of its resolution prevents any close analysis of its impact on the Iranian oil industry. One conclusion, however, is certain; oil has been a vital resource in Iran's past and it will remain the lifetime of its economic development in the future.

Farideh, A.

1981-01-01T23:59:59.000Z

204

PWM Inverter Output Filter Cost to Losses Trade Off and Optimal Design  

E-Print Network [OSTI]

PWM Inverter Output Filter Cost to Losses Trade Off and Optimal Design Robert J. Pasterczyk Jean--This paper describes how to design the output filter of a PWM inverter used in a Uninterruptible Power SupplyVA 3-ph. PWM inverter is taken as example. B. Design Constraints Uninterruptible Power Supply (UPS

Paris-Sud XI, Université de

205

Estimating Solar PV Output Using Modern Space/Time Geostatistics (Presentation)  

SciTech Connect (OSTI)

This presentation describes a project that uses mapping techniques to predict solar output at subhourly resolution at any spatial point, develop a methodology that is applicable to natural resources in general, and demonstrate capability of geostatistical techniques to predict the output of a potential solar plant.

Lee, S. J.; George, R.; Bush, B.

2009-04-29T23:59:59.000Z

206

Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu  

E-Print Network [OSTI]

Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu January 1, 2013 1 Introduction of solar panel: Routing the configuration between solar cells with a switch matrix. However, their result models and control policies for the optimal output of solar panels. The smallest unit on a solar panel

Lavaei, Javad

207

Generating Isolated Outputs in a Multilevel Modular Capacitor Clamped DC-DC Converter  

E-Print Network [OSTI]

balance between the fuel cell and any energy storage inside the vehicle, and provides continuous power) for Hybrid Electric and Fuel Cell Vehicles Faisal H. Khan1 , Leon M. Tolbert2 1 Electric Power Research transformers to generate isolated ac outputs. These isolated outputs can be rectified and filtered to obtain

Tolbert, Leon M.

208

Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB  

E-Print Network [OSTI]

Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB Systems with multiple-input single- output (MISO) antennas over ultra-wideband (UWB) channels. In particular, temporal and spatial focusing as well as array gain are studied based on a (4 × 1) MISO scheme in an office environment

Qiu, Robert Caiming

209

Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization and Integrated Control  

E-Print Network [OSTI]

1 Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization mechanical energy from human foot-strikes and explore its configuration and control towards optimized energy output. Dielectric Elastomers (DEs) are high-energy density, soft, rubber-like material

Potkonjak, Miodrag

210

Fine-grained Photovoltaic Output Prediction using a Bayesian Ensemble Prithwish Chakraborty1,2  

E-Print Network [OSTI]

generation is increasingly reliant on renewable power sources, e.g., solar (pho- tovoltaic or PV) and wind Increasingly, local and distributed power generation e.g., through solar (photovoltaic or PV), wind, fuel cells and intermittent in their energy output, which makes integration with the power grid challenging. PV output

Ramakrishnan, Naren

211

Quality assurance of solar thermal systems with the ISFH-Input/Output-Procedure  

E-Print Network [OSTI]

Quality assurance of solar thermal systems with the ISFH- Input/Output-Procedure Peter Paerisch different solar systems. The simulation model was validated with measured data. The deviation between meas * Tel. +49 (0)5151-999503, Fax: +49 (0)5151-999500, Email: paerisch@isfh.de Abstract Input/Output

212

High-Efficiency Multiple-Output DC-DC Conversion for Low-Voltage Systems  

E-Print Network [OSTI]

This versatile power converter controller provides dual outputs at a fixed switching frequency and can regulate either output voltage or target system delay (using an external -- filter). In the voltage regulation mode, the output voltage is monitored with an analog--digital (A/D) converter, and the feedback compensation network is implemented digitally. The generation of the pulsewidth modulation (PWM) signal is done with a hybrid delay line/counter approach, which saves power and area relative to previous implementations. Power devices are included on chip to create the two independently regulated output PWM signals. The key features of this design are its low-power dissipation, reconfigurability, use of either delay or voltage feedback, and multiple outputs.

Abram P. Dancy; Rajeevan Amirtharajah; Anantha P. Chandrakasan

2000-01-01T23:59:59.000Z

213

Method for leveling the power output of an electromechanical battery as a function of speed  

DOE Patents [OSTI]

The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range. 3 figs.

Post, R.F.

1999-03-16T23:59:59.000Z

214

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation  

E-Print Network [OSTI]

Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproductions. With this paper, we take a computer science perspective on energy prediction based on weather data and analyze the important parameters as well as their correlation on the energy output. To deal with the interaction of the different parameters we use symbolic regression based on the genetic programming tool DataModeler. Our studies are carried out on publicly available weather and energy data for a wind farm in Australia. We reveal the correlation of the different variables for the energy output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly given weather data.

Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

2011-01-01T23:59:59.000Z

215

Modular industrial solar retrofit project (MISR)  

SciTech Connect (OSTI)

The intent of this paper is to describe a major Department of Energy (DOE) thrust to bring line-focus solar thermal technology to commercial readiness. This effort is referred to as the MISR Project. The project is based upon the premise that thermal energy is the basic solar thermal system output and that low-temperature, fossil fuel applications are technically the first that should be retrofitted. Experience has shown that modularity in system design and construction offers potential for reducing engineering design costs, reduces manufacturing costs, reduces installation time and expense, and improves system operational reliability. The modular design effort will be sponsored by Sandia National Laboratories with industry doing the final designs. The operational credibility of the systems will be established by allowing selected industrial thermal energy users to purchase MISR systems from suppliers and operate them for two years. Industries will be solicited by DOE/Albuquerque Operations Office to conduct these experiments on a cost sharing basis. The MISR system allowed in the experiments will have been previously qualified for the application. The project is divided into three development phases which represent three design and experiment cycles. The first cycle will use commercially available trough-type solar collectors and will incorporate 5 to 10 experiments of up to 5000 m/sup 2/ of collectors each. The project effort began in March 1980, and the first cycle is to be completed in 1985. Subsequent cycles will begin at 3-year intervals. The project is success oriented, and if the first cycle reaches commercial readiness, the project will be terminated. If not, a second, and possibly a third, development cycle will be conducted.

Alvis, R.L.

1980-01-01T23:59:59.000Z

216

Essays on the industrial organization of the airline industry  

E-Print Network [OSTI]

This thesis analyzes several aspects of the Industrial Organization of the airline industry in three separate chapters. Chapter 1 investigates the effect of air traffic delays on airline prices. The degree to which prices ...

Januszewski, Silke I. (Silke Irene), 1974-

2003-01-01T23:59:59.000Z

217

Model documentation report: Industrial sector demand module of the National Energy Modeling System  

SciTech Connect (OSTI)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

NONE

1997-01-01T23:59:59.000Z

218

Coal industry annual 1997  

SciTech Connect (OSTI)

Coal Industry Annual 1997 provides comprehensive information about US coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves. US Coal production for 1997 and previous years is based on the annual survey EIA-7A, Coal Production Report. This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report includes a national total coal consumption for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. 14 figs., 145 tabs.

NONE

1998-12-01T23:59:59.000Z

219

Coal industry annual 1993  

SciTech Connect (OSTI)

Coal Industry Annual 1993 replaces the publication Coal Production (DOE/FIA-0125). This report presents additional tables and expanded versions of tables previously presented in Coal Production, including production, number of mines, Productivity, employment, productive capacity, and recoverable reserves. This report also presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for a wide audience including the Congress, Federal and State agencies, the coal industry, and the general public. In addition, Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility Power Producers who are not in the manufacturing, agriculture, mining, construction, or commercial sectors. This consumption is estimated to be 5 million short tons in 1993.

Not Available

1994-12-06T23:59:59.000Z

220

SymposiumandIndustrialAffiliatesProgramLightinAction Industrial Affiliates Program  

E-Print Network [OSTI]

SymposiumandIndustrialAffiliatesProgramLightinAction #12;Industrial Affiliates Program Friday, 8 Session I Abstract: Recently Additive Manufacturing (AM) has been hailed as the "third industrial revolution" by Economist magazine [April -2012]. Precision of the product manufactured by AM largely depends

Van Stryland, Eric

Note: This page contains sample records for the topic "gdp industrial output" 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

Recent developments: Industry briefs  

SciTech Connect (OSTI)

This article is the `Industry Briefs` portion of Nuexco`s July 1992 `Recent Developments` section. Specific items mentioned include: (1) the merger of Entergy and Gulf States Utilities, (2) restart of the Sequoyah Fuels facility in Oklahoma, (3) development of the 7th and 8th nuclear units in Taiwan, (4) purchase of interest in Rio Algom, Ltd, and (5) acquisition of the Italian firm AGIP by a Canadian company.

NONE

1992-07-01T23:59:59.000Z

222

Industrial Analytics Corporation  

SciTech Connect (OSTI)

The lost foam casting process is sensitive to the properties of the EPS patterns used for the casting operation. In this project Industrial Analytics Corporation (IAC) has developed a new low voltage x-ray instrument for x-ray radiography of very low mass EPS patterns. IAC has also developed a transmitted visible light method for characterizing the properties of EPS patterns. The systems developed are also applicable to other low density materials including graphite foams.

Industrial Analytics Corporation

2004-01-30T23:59:59.000Z

223

BTU Accounting for Industry  

E-Print Network [OSTI]

, salesmen cars, over the highway trucks, facilities startup, waste used as fuel and fuels received for storage. This is a first step in the DOE's effort to establish usage guidelines for large industrial users and, we note, it requires BTU usage data...-generated electricity, heating, ventilating, air conditioning, in-plant transportation, ore hauling, raw material storage and finished product warehousing. Categories which are excluded are corporate and divisional offices, basic research, distribution centers...

Redd, R. O.

1979-01-01T23:59:59.000Z

224

Energy efficiency opportunities in China. Industrial equipment and small cogeneration  

SciTech Connect (OSTI)

A quick glance at comparative statistics on energy consumption per unit of industrial output reveals that China is one of the least energy efficient countries in the world. Energy waste not only impedes economic growth, but also creates pollution that threatens human health, regional ecosystems, and the global climate. China`s decision to pursue economic reform and encourage technology transfer from developed countries has created a window of opportunity for significant advances in energy efficiency. Policy changes, technical training, public education, and financing can help China realize its energy conservation potential.

NONE

1995-02-01T23:59:59.000Z

225

Finding the quantum thermoelectric with maximal efficiency and minimal entropy production at given power output  

E-Print Network [OSTI]

We investigate the nonlinear scattering theory for quantum systems with strong Seebeck and Peltier effects, and consider their use as heat-engines and refrigerators with finite power outputs. This article gives detailed derivations of the results summarized in Phys. Rev. Lett. 112, 130601 (2014). It shows how to use the scattering theory to find (i) the quantum thermoelectric with maximum possible power output, and (ii) the quantum thermoelectric with maximum efficiency at given power output. The latter corresponds to a minimal entropy production at that power output. These quantities are of quantum origin since they depend on system size over electronic wavelength, and so have no analogue in classical thermodynamics. The maximal efficiency coincides with Carnot efficiency at zero power output, but decreases with increasing power output. This gives a fundamental lower bound on entropy production, which means that reversibility (in the thermodynamic sense) is impossible for finite power output. The suppression of efficiency by (nonlinear) phonon and photon effects is addressed in detail; when these effects are strong, maximum efficiency coincides with maximum power. Finally, we show in particular limits (typically without magnetic fields) that relaxation within the quantum system does not allow the system to exceed the bounds derived for relaxation-free systems, however a general proof of this remains elusive.

Robert S. Whitney

2015-01-28T23:59:59.000Z

226

Finding the quantum thermoelectric with maximal efficiency and minimal entropy production at given power output  

E-Print Network [OSTI]

We investigate the nonlinear scattering theory for quantum systems with strong Seebeck and Peltier effects, and consider their use as heat-engines and refrigerators with finite power outputs. This article gives detailed derivations of the results summarized in Phys. Rev. Lett. 112, 130601 (2014). It shows how to use the scattering theory to find (i) the quantum thermoelectric with maximum possible power output, and (ii) the quantum thermoelectric with maximum efficiency at given power output. The latter corresponds to a minimal entropy production at that power output. These quantities are of quantum origin since they depend on system size over electronic wavelength, and so have no analogue in classical thermodynamics. The maximal efficiency coincides with Carnot efficiency at zero power output, but decreases with increasing power output. This gives a fundamental lower bound on entropy production, which means that reversibility (in the thermodynamic sense) is impossible for finite power output. The suppression of efficiency by (nonlinear) phonon and photon effects is addressed in detail; when these effects are strong, maximum efficiency coincides with maximum power. Finally, we show in particular limits (typically without magnetic fields) that relaxation within the quantum system does not allow the system to exceed the bounds derived for relaxation-free systems, however, a general proof of this remains elusive.

Robert S. Whitney

2015-03-16T23:59:59.000Z

227

The impact of government policies on industrial evolution : the case of China's automotive industry  

E-Print Network [OSTI]

Governmental industrial policies have great influence on industrial performances and development trajectories. The infant industry theory has been the dominating theoretical foundation of the industrial policies in developing ...

Luo, Jianxi

2006-01-01T23:59:59.000Z

228

Industrial Heat Pump Design Options  

E-Print Network [OSTI]

There are numerous industries that can incorporate heat pumps into their operations to save energy costs and payoff the investment in well under two years. Many of these industries can cut energy costs associated with evaporation by over 75...

Gilbert, J. S.

229

A National Resource for Industry  

E-Print Network [OSTI]

alloys, and metal matrix composite products carbon fibe's manufacturing industries. These industries call upon ORNL's expertise in materials synthesis, characterization-efficient manufacturing processes and materials targeting products of the future. The Department of Energy's first

230

Electrotechnologies and Industrial Pollution Control  

E-Print Network [OSTI]

The role of electrotechnologies in the control of emissions and effluents from industrial processes is discussed. Matrices are presented identifying those electrotechnologies which impact pollution in various industries. Specific examples...

Schmidt, P. S.

231

Deaerators in Industrial Steam Systems  

SciTech Connect (OSTI)

This revised ITP tip sheet on deaerators in industrial steam systems provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

Not Available

2006-01-01T23:59:59.000Z

232

Texas Industries of the Future  

E-Print Network [OSTI]

The purpose of the Texas Industries of the Future program is to facilitate the development, demonstration and adoption of advanced technologies and adoption of best practices that reduce industrial energy usage, emissions, and associated costs...

Ferland, K.

233

Modeling the semiconductor industry dynamics  

E-Print Network [OSTI]

The semiconductor industry is an exciting and challenging industry. Strong demand at the application end, plus the high capital intensity and rapid technological innovation in manufacturing, makes it difficult to manage ...

Wu, Kailiang

2008-01-01T23:59:59.000Z

234

Innovative Utility Pricing for Industry  

E-Print Network [OSTI]

INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

Ross, J. A.

235

X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof  

DOE Patents [OSTI]

An x-ray source assembly and method of operation are provided having enhanced output stability. The assembly includes an anode having a source spot upon which electrons impinge and a control system for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

Radley, Ian (Glenmont, NY); Bievenue, Thomas J. (Delmar, NY); Burdett, John H. (Charlton, NY); Gallagher, Brian W. (Guilderland, NY); Shakshober, Stuart M. (Hudson, NY); Chen, Zewu (Schenectady, NY); Moore, Michael D. (Alplaus, NY)

2008-06-08T23:59:59.000Z

236

PETROLEUM INDUSTRY INFORMATION REPORTING ACT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION PETROLEUM INDUSTRY INFORMATION REPORTING ACT: RULEMAKING;1 EXECUTIVE SUMMARY In the six months since the new Petroleum Industry Information Reporting Act (PIIRA which is used by the petroleum industry and market trading groups to assess the trends in California

237

China`s macro economic trends and power industry structure  

SciTech Connect (OSTI)

Since China adopted an open door policy in 1978, its economy has grown rapidly. Between 1980 and 1993, China`s real GNP growth averaged 9.4 percent per year. Economists at the Chinese Academy of Social Sciences forecast that GNP will increase by 11.5 percent in 1994. During the rest of the decade, the Chinese government plans to reduce its annual GNP growth rate to 8-9 percent. During the 2001-2010 period, the economic growth rate is projected to decline to 6.5 percent per year. Table 1 compares China`s economic growth to other Asia-Pacific Economies, and includes projections to 2010. During the 1980s, China`s GDP growth rate was only second to that of South Korea. In the 1990`s, China is projected to have the highest economic growth in the Asia-Pacific region. China`s rapid economic growth is due to dramatic increases in the effective labor supply and effective capital stock. For the remainder of the 1990s, the effective labor supply should continue to increase rapidly because: (1) Chinese state enterprises are over-staffed and labor system reforms will move millions of these workers into more productive activities; (2) reforms in the wage system will provide increased incentives to work harder; (3) relaxation of migration controls from rural to urban areas will cause nominal labor in the industrial sector to accelerate; (4) differentials in personal income will increase and develop peer pressure on workers to work harder and earn more money; and (5) at China`s low personal income level, Chinese people are willing to trade leisure for more income as wages increase.

Binsheng Li; Johnson, C.J.; Hagen, R.

1994-09-01T23:59:59.000Z

238

Industrial Energy Audit Guidebook: Guidelines for Conducting...  

Open Energy Info (EERE)

Industry Resource Type: Guidemanual Website: china.lbl.govsiteschina.lbl.govfilesLBNL-3991E.Industrial%20Energy Industrial Energy Audit Guidebook: Guidelines for Conducting...

239

Colorado Industrial Challenge and Recognition Program | Department...  

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

Colorado Industrial Challenge and Recognition Program Colorado Industrial Challenge and Recognition Program This fact sheet offers details of the Colorado Industrial program state...

240

Cardiac output and stroke volume estimation using a hybrid of three models  

E-Print Network [OSTI]

Cardiac output (CO) and stroke volume (SV) are the key hemodynamic parameters to be monitored and assessed in ambulatory and critically ill patients. The purpose of this study was to introduce and validate a new algorithm ...

Arai, Tatsuya

Note: This page contains sample records for the topic "gdp industrial output" 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

Output dominance as a predictor of humor content in verbal productions  

E-Print Network [OSTI]

-dominance-ordered feature lists generated for each of the concepts. It was hypothesized that juxtapositions judged funny would rely more often on properties with significantly different output dominance scores per concept, while those judged not funny would involve fewer...

Hull, Rachel Gayle

2000-01-01T23:59:59.000Z

242

Examining the Variability of Wind Power Output in the Regulation Time Frame: Preprint  

SciTech Connect (OSTI)

This work examines the distribution of changes in wind power for different time scales in the regulation time frame as well as the correlation of changes in power output for individual wind turbines in a wind plant.

Hodge, B. M.; Shedd, S.; Florita, A.

2012-08-01T23:59:59.000Z

243

Augmentation of Power Output of Axisymmetric Ducted Wind Turbines by Porous Trailing Edge Disks  

E-Print Network [OSTI]

This paper presents analytical and experimental results that demonstrated that the power output from a ducted wind turbine can be dramatically increased by the addition of a trailing edge device such as a porous disk. In ...

widnall, sheila

2014-06-30T23:59:59.000Z

244

A Hardware Implementation of the Soft Output Viterbi Algorithm for Serially Concatenated Convolutional Codes  

E-Print Network [OSTI]

This thesis outlines the hardware design of a soft output Viterbi algorithm decoder for use in a serially concatenated convolutional code system. Convolutional codes and their related structures are described, as well as the algorithms used...

Werling, Brett William

2010-06-28T23:59:59.000Z

245

Primate Motor Cortex: Individual and Ensemble Neuron-Muscle Output Relationships  

E-Print Network [OSTI]

The specific aims of this study were to: 1) investigate the encoding of forelimb muscle activity timing and magnitude by corticomotoneuronal (CM) cells, 2) test the stability of primary motor cortex (M1) output to forelimb ...

Griffin, Darcy Michelle

2008-07-30T23:59:59.000Z

246

Multilevel Cascade H-bridge Inverter DC Voltage Estimation Through Output Voltage Sensing  

E-Print Network [OSTI]

system as the inverter power supply may vary. For example, interface of solar panels or fuel cell. The output voltage is then processed by a DSP unit that uses the signals that command the switches

Tolbert, Leon M.

247

Input-Output as a Method of Evaluahon of the Economic Impact of Water Resources Development  

E-Print Network [OSTI]

In this report the results of a study of the use of input-output analysis to evaluate the economic impact of water resources development are presented. Blackburn Crossing reservoir on the Upper Neches river was the subject development...

Canion, R. L.; Trock, W. L.

248

Code design for multiple-input multiple-output broadcast channels  

E-Print Network [OSTI]

Recent information theoretical results indicate that dirty-paper coding (DPC) achieves the entire capacity region of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). This thesis presents practical code designs for Gaussian...

Uppal, Momin Ayub

2009-06-02T23:59:59.000Z

249

Study of domestic social and economic impacts of ocean thermal energy conversion (OTEC) commercial development. Volume II. Industry profiles  

SciTech Connect (OSTI)

Econoimc profiles of the industries most affected by the construction, deployment, and operation of Ocean Thermal Energy Conversion (OTEC) powerplants are presented. Six industries which will contribute materials and/or components to the construction of OTEC plants have been identified and are profiled here. These industries are: steel industry, concrete industry, titanium metal industry, fabricated structural metals industry, fiber glass-reinforced plastics industry, and electrical transmission cable industry. The economic profiles for these industries detail the industry's history, its financial and economic characteristics, its technological and production traits, resource constraints that might impede its operation, and its relation to OTEC. Some of the historical data collected and described in the profile include output, value of shipments, number of firms, prices, employment, imports and exports, and supply-demand forecasts. For most of the profiled industries, data from 1958 through 1980 were examined. In addition, profiles are included on the sectors of the economy which will actualy construct, deploy, and supply the OTEC platforms.

None

1981-12-22T23:59:59.000Z

250

Industrial energy use indices  

E-Print Network [OSTI]

gas consumption. Data from milder climates appears more scattered than that from colder climates. For example, the ratio of the average of coefficient of variations for all industry types in warm versus cold regions of the U.S. varies from 1....1 to 1.7 depending on the energy sources considered. The large data scatter indicates that predictions of energy use obtained by multiplying standard EUI data by plant area may be inaccurate and are less accurate in warmer than colder climates (warmer...

Hanegan, Andrew Aaron

2008-10-10T23:59:59.000Z

251

Coal Industry Annual 1995  

SciTech Connect (OSTI)

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 21 million short tons for 1995.

NONE

1996-10-01T23:59:59.000Z

252

Carbon Emissions: Food Industry  

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 542Peru (MillionFood Industry

253

Sustainable Nanomaterials Industry Perspective  

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 Strain Rate4SuperhardSuspect andCoaches Aim Industry Perspective

254

CASL - Industry Council  

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 to someone6Energy, science, andAnalysis ofLink to Resources Industry

255

CASL - Industry Council Resources  

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 to someone6Energy, science, andAnalysis ofLink to Resources IndustryCASL

256

Industrial Technical Assistance  

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-Dimensionalthe U.S.Indiana College ProvidesSteam Technical BriefINDUSTRIAL

257

Coal industry annual 1996  

SciTech Connect (OSTI)

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States.This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 24 million short tons for 1996. 14 figs., 145 tabs.

NONE

1997-11-01T23:59:59.000Z

258

Exploring the circadian outputs and function of HPT-1 in Neurospora crassa  

E-Print Network [OSTI]

EXPLORING THE CIRCADIAN OUTPUTS AND FUNCTIONS OF HTP-1 IN NEUROSPORA CRASSA An Undergraduate Research Scholars Thesis by JUSTIN WAYDE VICKERY Submitted to Honors and Undergraduate Research Texas A&M University in partial fulfillment... ......................................................................................................................... 25 1 ABSTRACT Exploring the circadian outputs and functions of HPT-1 in N. crassa. (May 2014) Justin Wayde Vickery Department of Biology Texas A&M University Research Advisor: Dr. Deborah Bell-Pedersen Department of Biology...

Vickery, Justin Wayde

2013-09-28T23:59:59.000Z

259

Competitive developments in the electric supply industry  

SciTech Connect (OSTI)

Competition in the electric supply industry is outlined. The following topics are discussed: six impending major developments in the electric industry; recent and projected developments in the industry; where is the industry headed?; and what the future holds.

Bruder, G.F.; Lively, M.

1996-12-31T23:59:59.000Z

260

Whitacre College of Engineering Industrial Engineering Department  

E-Print Network [OSTI]

Whitacre College of Engineering Industrial Engineering Department Department Chair and Professor of Industrial Engineering. The Industrial Engineering Department at Texas Tech University has a distinguished industrial engineering education and provide appropriate service to the department, university

Gelfond, Michael

Note: This page contains sample records for the topic "gdp industrial output" 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

Faculty of Engineering & Design Industrial Placements  

E-Print Network [OSTI]

Faculty of Engineering & Design Industrial Placements A guide for industry #12;Industrial placements The Faculty of Engineering & Design has built close links with engineering companies through research, projects, placements and graduate employees. We know that working with industry ensures our

Burton, Geoffrey R.

262

Research Projects in Industrial Technology.  

SciTech Connect (OSTI)

The purpose of this booklet is to briefly describe ongoing and completed projects being carried out by Bonneville Power Administration's (BPA) Industrial Technology Section. In the Pacific Northwest, the industrial sector is the largest of the four consuming sectors. It accounted for thirty-nine percent of the total firm demand in the region in 1987. It is not easy to asses the conservation potential in the industrial sector. Recognizing this, the Northwest Power Planning Council established an objective to gain information on the size, cost, and availability of the conservation resource in the industrial sector, as well as other sectors, in its 1986 Power Plan. Specifically, the Council recommended that BPA operate a research and development program in conjunction with industry to determine the potential costs and savings from efficiency improvements in industrial processes which apply to a wide array of industrial firms.'' The section, composed of multidisciplinary engineers, provides technical support to the Industrial Programs Branch by designing and carrying out research relating to energy conservation in the industrial sector. The projects contained in this booklet are arranged by sector --industrial, utility, and agricultural -- and, within each sector, chronologically from ongoing to completed, with those projects completed most recently falling first. For each project the following information is given: its objective approach, key findings, cost, and contact person. Completed projects also include the date of completion, a report title, and report number.

United States. Bonneville Power Administration. Industrial Technology Section.

1990-06-01T23:59:59.000Z

263

Output Harmonic Termination Techniques for AlGaN/GaN HEMT Power Amplifiers Using Active Integrated Antenna Approach  

E-Print Network [OSTI]

Output Harmonic Termination Techniques for AlGaN/GaN HEMT Power Amplifiers Using Active Integrated 1200, Los Angeles, CA 90045 Abstract -- In this paper, effects of output harmonic terminations on PAE termination, we observe a substantial increase in PAE and output power. Further, we demonstrate the high

Itoh, Tatsuo

264

industrial & systems (ISE) Industrial and Systems Engineers use engineering and business principles  

E-Print Network [OSTI]

70 industrial & systems (ISE) Industrial and Systems Engineers use engineering and business systems to help companies compete in today's global marketplace. The Industrial and Systems Engineer. Programs Available · Industrial and Systems Engineering Bachelor of Science 129 units · Industrial

Rohs, Remo

265

industrial & systems (ISE) Industrial and Systems engineers use engineering and business principles  

E-Print Network [OSTI]

74 industrial & systems (ISE) Industrial and Systems engineers use engineering and business to help companies compete in today's global marketplace. The Industrial and Systems engineer's task. Programs Available · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial

Rohs, Remo

266

Office of Industry Research and Technology Programs Greetings to Industry  

E-Print Network [OSTI]

Assistant Vice President, Corporate & Foundation Relations Inside this issue... Greetings to Industry. The founding members are American Axle and Manufacturing, Eaton Corpora- tion and John Deere. This applied

Ginzel, Matthew

267

Rebuttal: Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

9. 6. Angell M. The pharmaceutical industry: To whom is ithas shown that the pharmaceutical industry has profited some

Stone, Susan; Herbert, Mel

2003-01-01T23:59:59.000Z

268

ITP Industrial Materials: Development and Commercialization of...  

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

Industrial Materials: Development and Commercialization of Alternative Carbon Fiber Precursors and Conversion Technologies ITP Industrial Materials: Development and...

269

Academic-Industry Collaboration (AIC) - Synchrophasor Engineering...  

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

Academic-Industry Collaboration (AIC) - Synchrophasor Engineering Education Program: Information Exchange Webinar (March 6, 2014) Academic-Industry Collaboration (AIC) -...

270

Modeling the Energy Output from an In-Stream Tidal Turbine Farm  

E-Print Network [OSTI]

Abstract—This paper is based on a recent paper presented in the 2007 IEEE SMC conference by the same authors [1], discussing an approach to predicting energy output from an instream tidal turbine farm. An in-stream tidal turbine is a device for harnessing energy from tidal currents in channels, and functions in a manner similar to a wind turbine. A group of such turbines distributed in a site is called an in-stream tidal turbine farm which is similar to a wind farm. Approaches to estimating energy output from wind farms cannot be fully transferred to study tidal farms, however, because of the complexities involved in modeling turbines underwater. In this paper, we intend to develop an approach for predicting energy output of an in-stream tidal turbine farm. The mathematical formulation and basic procedure for predicting power output of a stand-alone turbine 1 is presented, which includes several highly nonlinear terms. In order to facilitate the computation and utilize the formulation for predicting power output from a turbine farm, a simplified relationship between turbine distribution and turbine farm energy output is derived. A case study is then conducted by applying the numerical procedure to predict the energy output of the farms. Various scenarios are implemented according to the environmental conditions in Seymour Narrows, British Columbia, Canada. Additionally, energy cost results are presented as an extension. Index Terms—renewable energy, in-stream turbine, tidal current, tidal power, vertical axis turbine, farm system modeling, in-stream tidal turbine farm 1 A stand-alone turbine refers to a turbine around which there is no other turbine that might potentially affect the performance of this turbine.

Ye Li; Barbara J. Lence; Sander M. Calisal

271

EPRI's Industrial Energy Management Program  

E-Print Network [OSTI]

the Electric Power Research Institute has been establishing industry specific Centers and Offices nationwide to assist electric utilities and their customers in managing for a better use of energy. Hundreds of joint industry/utility projects... services thus supporting national objectives for a clean environment and a strong economic future. The Electric Power Research Institute (EPRI) recognizes that the management of energy use and the environmental impacts of industrial activity...

Mergens, E.; Niday, L.

272

Energy Efficiency and Industrial Technology  

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

Next Generation Nuclear Plant Docs CONTACT US Center for Advanced Energy Studies Energy Efficiency and Industrial Technology The Department conducts research for DOE, other...

273

Industry Supply Chain Development (Ohio)  

Broader source: Energy.gov [DOE]

Supply Chain Development programs are focused on targeted industries that have significant growth opportunities for Ohio's existing manufacturing sector from emerging energy resources and...

274

FAQS Reference Guide – Industrial Hygiene  

Broader source: Energy.gov [DOE]

This reference guide addresses the competency statements in the November 2007 edition of DOE-STD-1138-2007, Industrial Hygiene Functional Area Qualification Standard.

275

China's Nuclear Industry After Fukushima  

E-Print Network [OSTI]

s Nuclear Industry After Fukushima Jingdong YUAN SummaryT he March 2011 Fukushima nuclear accident has had aand speedy responses to Fukushima-like and other unexpected

YUAN, Jingdong

2013-01-01T23:59:59.000Z

276

SAS Output  

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

3. Summary Statistics for Coal Refining Plants, 2012 - 2014" "(thousand short tons)" "Year and","Coal Receipts","Average Price of Coal Receipts","Coal Used","Coal Stocks1"...

277

SAS Output  

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

4. Nitrogen Oxides Control Technology Emissions Reduction Factors Nitrogen Oxides Control Technology EIA-Code(s) Reduction Factor Advanced Overfire Air AA 30% Alternate Burners BF...

278

SAS Output  

Gasoline and Diesel Fuel Update (EIA)

Boiler Spreader Stoker Boiler Tangential Boiler All Other Boiler Types Combustion Turbine Internal Combustion Engine Agricultural Byproducts AB Source: 1 Lbs per ton 0.08 0.01...

279

SAS Output  

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

System Type Firing Configuration Tangential Boiler All Other Boiler Types Combustion Turbine Internal Combustion Engine Fuel EIA Fuel Code Source and Tables (As Appropriate)...

280

SAS Output  

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

"(thousand short tons)" "Census Division","June 30 2014","March 31 2014","June 30 2013","Percent Change" "and State",,,,"(June 30)" ,,,,"2014 versus 2013" "Middle...

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State1",2014,2014,2013,,,"Change" "Middle Atlantic" "...

282

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" ,2014,2014,2013,,,"Change" "Middle Atlantic",1222,1214,1247,2435,2460,-1...

283

SAS Output  

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

,,,,"Year to Date" "Commodity","April - June","January - March","April - June",2014,2013,"Percent" ,2014,2014,2013,,,"Change" "Coke" " Sales",1969,1865,1969,3834,3905,-1.8 "...

284

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" ,2014,2014,2013,,,"Change" "Middle Atlantic",1599,1503,1622,3102,3178,-2.4...

285

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State",2014,2014,2013,,,"Change" "Middle Atlantic",113.65,114.55,139.64,...

286

SAS Output  

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

,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2014,2013,"Percent" ,2014,2014,2013,,,"Change" "311 Food Manufacturing",2085,2575,2256,4660,4817,...

287

SAS Output  

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

Code" "(thousand short tons)" "NAICS Code","June 30 2014","March 31 2014","June 30 2013","Percent Change" ,,,,"(June 30)" ,,,,"2014 versus 2013" "311 Food...

288

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State",2014,2014,2013,,,"Change" "New England",20,30,21,51,48,5.5 "...

289

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State",2014,2014,2013,,,"Change" "Middle Atlantic",19,58,25,77,79,-2.7 "...

290

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State",2014,2014,2013,,,"Change" "New England","w","w","w","w","w","w" "...

291

SAS Output  

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

"(thousand short tons)" "Census Division","June 30 2014","March 31 2014","June 30 2013","Percent Change" "and State",,,,"(June 30)" ,,,,"2014 versus 2013" "New...

292

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State1",2014,2014,2013,,,"Change" "New England" " Btu",13306,12964,13323...

293

SAS Output  

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

,"Sector1",,,"Institutional Users",,"Distributors" 2008 " March 31",146497,1462,4818,448,153225,34876,188101 " June 30",152542,1756,4983,478,159760,32086,191846 "...

294

SAS Output  

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

,,,,"Year to Date" "NAICS Code","April - June","January - March","April - June",2014,2013,"Percent" ,2014,2014,2013,,,"Change" "311 Food Manufacturing",2111,2386,2214,4497,4570,...

295

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State",2014,2014,2013,,,"Change" "Middle Atlantic",21,59,20,80,73,10.4 "...

296

SAS Output  

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

to Date" "Census Division","April - June","January - March","April - June",2014,2013,"Percent" "and State",2014,2014,2013,,,"Change" "New England",21,29,22,50,48,3.1 "...

297

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3. Revenue

298

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3. Revenue4.

299

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3.

300

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3.A.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3.A.B.

302

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3.A.B.A. Net

303

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3.A.B.A.

304

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3.A.B.A.A.

305

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working GroupB..3.3.A.B.A.A.B.

306

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) Working

307

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) WorkingB. Winter Net Internal

308

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) WorkingB. Winter Net

309

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) WorkingB. Winter NetB.

310

SAS Output  

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 Administration the1 -the Mid-Infrared0 ResourceAwards SAGE Awards A(SAPC) WorkingB. Winter NetB.4.5.

311

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline Blend.1.

312

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline Blend.1.2.

313

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline

314

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline. Number of

315

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline. Number

316

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline. Number3.

317

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline. Number3.5.

318

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline.

319

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline.7. Average

320

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline.7.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline.7.9.

322

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline.7.9.0.

323

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline.7.9.0.1.

324

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional Gasoline.7.9.0.1.2.

325

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional

326

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. Green Pricing

327

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. Green PricingA.

328

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. Green PricingA.B.

329

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. Green

330

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB. Net

331

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB. Net3.A.

332

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB. Net3.A.B.

333

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.

334

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B. Net

335

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B. NetA.

336

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B. NetA.B.

337

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.

338

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.7. Net

339

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.7. Net8.

340

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.7.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.7.0. Net

342

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.7.0.

343

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.7.0.2.

344

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4. GreenB.B.7.0.2.3.

345

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.

346

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net Generation

347

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net Generation6.

348

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net

349

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8. Net

350

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8. Net9. Net

351

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8. Net9.

352

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8. Net9.1.

353

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8. Net9.1.2.

354

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.

355

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.4. Useful

356

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.4. Useful.

357

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.4.

358

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.4.B.

359

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.4.B.3.

360

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.4.B.3.4.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5. Net8.4.B.3.4.5.

362

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.

363

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net Summer

364

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net SummerB.

365

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net SummerB.C.

366

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net

367

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0. Net

368

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0. Net1.

369

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0. Net1.2.

370

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0.

371

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0.4.

372

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0.4.A.

373

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0.4.A.B.

374

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A. Net0.4.A.B.C.

375

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.

376

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E. Coal:

377

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E. Coal:F.

378

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E. Coal:F.A.

379

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E. Coal:F.A.B.

380

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.D. Petroleum

382

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.D.

383

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.D.F.

384

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.D.F.A.

385

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.D.F.A.B.

386

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.D.F.A.B.C.

387

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on CokersA2.Conventional4.5.A.E.D.F.A.B.C.D.

388

SAS Output  

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

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

389

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: Consumption for

390

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: Consumption forA.

391

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: Consumption forA.B.

392

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: Consumption forA.B.C.

393

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: Consumption forA.B.C.D.

394

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: Consumption

395

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF. Natural

396

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF. NaturalD.

397

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.

398

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F. Wood /

399

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F. Wood /A.

400

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F. Wood

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F. WoodC.

402

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F. WoodC.D.

403

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F.

404

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F.F.

405

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F.F.A.

406

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F.F.A.B.

407

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke: ConsumptionF.F.F.A.B.C.

408

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:

409

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. Biogenic Municipal

410

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. Biogenic MunicipalF.

411

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. Biogenic MunicipalF.D.

412

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. Biogenic

413

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF. Other Waste

414

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF. Other

415

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF. Other0.

416

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF. Other0.1.

417

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF. Other0.1.2.

418

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.

419

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.

420

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.1. Stocks

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.1. Stocks2

422

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.1.

423

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.1.4.

424

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.1.4..

425

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.1.4..3.

426

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E. BiogenicF.4.1.4..3.4.

427

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.

428

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts, Average

429

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts, Average7

430

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts, Average78.

431

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts,

432

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts,0.

433

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts,0.1.

434

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts,0.1.2.

435

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts,0.1.2.3.

436

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6. Receipts,0.1.2.3.4.

437

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.

438

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts of

439

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts of7.

440

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts of7.8.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts of7.8.9.

442

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts

443

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts1.

444

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts1.2.

445

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts1.2.3.

446

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts1.2.3.4.

447

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6. Receipts1.2.3.4.5.

448

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.

449

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average Tested

450

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average Tested3.

451

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average

452

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average.

453

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average.2.

454

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average.2.3.

455

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average.2.3.4.

456

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2. Average.2.3.4.5.

457

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2.

458

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2.7. Energy

459

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2.7. Energy8.

460

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2.7. Energy8.9.

Note: This page contains sample records for the topic "gdp industrial output" 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

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity onF. Petroleum Coke:E.6.6.2.7. Energy8.9.A.5.

462

SAS Output  

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

Bituminous Coal BIT Source: 1 205.30000 Distillate Fuel Oil DFO Source: 1 161.38600 Geothermal GEO Estimate from EIA, Office of Integrated Analysis and Forecasting 16.59983 Jet...

463

SAS Output  

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

1. U.S. Coal Summary Statistics, 2008 - 2014" "(thousand short tons)" "Year and","Production1","Imports","Waste Coal","Producer and","Consumption","Exports","Consumer","Losses and"...

464

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORT SAND 2011-39584. Average Retail Price

465

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORT SAND 2011-39584. Average Retail

466

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORT SAND 2011-39584. Average Retail1.

467

SAS Output  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORT SAND 2011-39584. Average Retail1.2.

468

SAS Output  

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 Data 2010Feet)Percent of U.S.Percent of U.S.Coal

469

SAS Output  

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 Data 2010Feet)Percent of U.S.Percent of

470

SAS Output  

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 Data 2010Feet)Percent of U.S.Percent ofProductive

471

SAS Output  

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 Data 2010Feet)Percent of U.S.Percent

472

SAS Output  

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 Data 2010Feet)Percent of U.S.PercentProductive

473

SAS Output  

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 Data 2010Feet)Percent of

474

SAS Output  

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 Data 2010Feet)Percent ofRecoverable Coal Reserves

475

SAS Output  

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 Data 2010Feet)Percent ofRecoverable Coal

476

SAS Output  

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 Data 2010Feet)Percent ofRecoverable

477

SAS Output  

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 Data 2010Feet)Percent ofRecoverableAverage Number

478

SAS Output  

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 Data 2010Feet)Percent ofRecoverableAverage

479

SAS Output  

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 Data 2010Feet)Percent ofRecoverableAverageand

480

SAS Output  

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 Data 2010Feet)Percent

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


481

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by State

482

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by State2.

483

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by

484

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by4. Coal

485

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by4.

486

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by4.6.

487

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by4.6.7.

488

SAS Output  

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 Data 2010Feet)PercentCoal Productivity by4.6.7.8.

489

SAS Output  

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 Data 2010Feet)PercentCoal Productivity

490

SAS Output  

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 Data 2010Feet)PercentCoal ProductivityUnderground

491

SAS Output  

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 Data 2010Feet)PercentCoal

492

SAS Output  

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 Data 2010Feet)PercentCoal1. Average Sales Price

493

SAS Output  

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 Data 2010Feet)PercentCoal1. Average Sales Price2.

494

SAS Output  

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 Data 2010Feet)PercentCoal1. Average Sales

495

SAS Output  

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 Data 2010Feet)PercentCoal1. Average Sales4.

496

SAS Output  

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 Data 2010Feet)PercentCoal1. Average Sales4.Coal

497

SAS Output  

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 Data 2010Feet)PercentCoal1. Average

498

SAS Output  

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 Data 2010Feet)PercentCoal1. AverageCoal

499

SAS Output  

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 Data 2010Feet)PercentCoal1. AverageCoalCoal

500

SAS Output  

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 Data 2010Feet)PercentCoal1. AverageCoalCoalCoal