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1

National Energy Modeling System (NEMS)  

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

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.

2

How to obtain the National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

The National Energy Modeling System (NEMS) NEMS is used by the modelers at the U. S. Energy Information Administration (EIA) who understand its structure and programming. NEMS has only been used by a few organizations outside of the EIA, because most people that requested NEMS found out that it was too difficult or rigid to use. NEMS is not typically used for state-level analysis and is poorly suited for application to other countries. However, many do obtain the model simply to use the data in its input files or to examine the source code.

2013-01-01T23:59:59.000Z

3

National Energy Modeling System (NEMS) | Open Energy Information  

Open Energy Info (EERE)

National Energy Modeling System (NEMS) National Energy Modeling System (NEMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (NEMS) Agency/Company /Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.eia.gov/oiaf/aeo/overview/index.html OpenEI Keyword(s): EERE tool, National Energy Modeling System, NEMS Language: English References: The National Energy Modeling System: An Overview[1] Project the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and

4

The National Energy Modeling System: An Overview 2000 - Overview of NEMS  

Gasoline and Diesel Fuel Update (EIA)

NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. Since energy costs and availability and energy-consuming characteristics can vary widely across regions, considerable regional detail is included. Other details of production and consumption categories are represented to facilitate policy analysis and ensure the validity of the results. A summary of the detail provided in NEMS is shown below. Summary Table Major Assumptions Each module of NEMS embodies many assumptions and data to characterize the future production, conversion, or consumption of energy in the United States. Two major assumptions concern economic growth in the United States and world oil prices, as determined by world oil supply and demand.

5

The National Energy Modeling System: An Overview 1998 - Overview of NEMS  

Gasoline and Diesel Fuel Update (EIA)

OVERVIEW OF NEMS OVERVIEW OF NEMS blueball.gif (205 bytes) Major Assumptions blueball.gif (205 bytes) NEMS Modular Structure blueball.gif (205 bytes) Integrating Module NEMS represents domestic energy markets by explicitly representing the economic decisionmaking involved in the production, conversion, and consumption of energy products. For example, the penetration of a new or advanced technology for electricity generation is projected only if the technology is deemed to be economic when considering the cost-minimizing mix of fuels over the life of the equipment. Since energy costs and availability and energy- consuming characteristics can vary widely across regions, considerable regional detail is included. Other details of production and consumption categories are represented to

6

Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS  

E-Print Network [OSTI]

of the Department of Energy's Office of Industrial Technologies, EIA extracted energy use infonnation from the Annual Energy Outlook (AEO) - 2000 (8) for each of the seven # The Pacific Northwest National Laboratory is operated by Battelle Memorial Institute...-6, 2000 NEMS The NEMS industrial module is the official forecasting model for EIA and thus the Department of Energy. For this reason, the energy prices and output forecasts used to drive the ITEMS model were taken from EIA's AEO 2000. Understanding...

Roop, J. M.; Dahowski, R. T

7

A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS  

E-Print Network [OSTI]

other assumptions for wind power to determine which onesused in NEMS regarding wind power to determine their impact

Osborn, Julie G.; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

2001-01-01T23:59:59.000Z

8

NEMS integrating module documentation report  

SciTech Connect (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to a variety of assumptions. The assumptions encompass macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, technology characteristics, and demographics. NEMS produces a general equilibrium solution for energy supply and demand in the U.S. energy markets on an annual basis through 2015. Baseline forecasts from NEMS are published in the Annual Energy Outlook. Analyses are also prepared in response to requests by the U.S. Congress, the DOE Office of Policy, and others. NEMS was first used for forecasts presented in the Annual Energy Outlook 1994.

NONE

1997-05-01T23:59:59.000Z

9

Nano-Electro-Mechanical (NEM) Relay Devices and Technology for Ultra-Low Energy Digital Integrated Circuits  

E-Print Network [OSTI]

Technology 3.1 Introduction Nano-electro-mechanical (NEM)improvements, a scaled nano-relay technology with optimizedNano-Electro-Mechanical (NEM) Relay Devices and Technology

Nathanael, Rhesa

2012-01-01T23:59:59.000Z

10

Energy balance in peridynamics.  

SciTech Connect (OSTI)

The peridynamic model of solid mechanics treats internal forces within a continuum through interactions across finite distances. These forces are determined through a constitutive model that, in the case of an elastic material, permits the strain energy density at a point to depend on the collective deformation of all the material within some finite distance of it. The forces between points are evaluated from the Frechet derivative of this strain energy density with respect to the deformation map. The resulting equation of motion is an integro-differential equation written in terms of these interparticle forces, rather than the traditional stress tensor field. Recent work on peridynamics has elucidated the energy balance in the presence of these long-range forces. We have derived the appropriate analogue of stress power, called absorbed power, that leads to a satisfactory definition of internal energy. This internal energy is additive, allowing us to meaningfully define an internal energy density field in the body. An expression for the local first law of thermodynamics within peridynamics combines this mechanical component, the absorbed power, with heat transport. The global statement of the energy balance over a subregion can be expressed in a form in which the mechanical and thermal terms contain only interactions between the interior of the subregion and the exterior, in a form anticipated by Noll in 1955. The local form of this first law within peridynamics, coupled with the second law as expressed in the Clausius-Duhem inequality, is amenable to the Coleman-Noll procedure for deriving restrictions on the constitutive model for thermomechanical response. Using an idea suggested by Fried in the context of systems of discrete particles, this procedure leads to a dissipation inequality for peridynamics that has a surprising form. It also leads to a thermodynamically consistent way to treat damage within the theory, shedding light on how damage, including the nucleation and advance of cracks, should be incorporated into a constitutive model.

Lehoucq, Richard B.; Silling, Stewart Andrew

2010-09-01T23:59:59.000Z

11

A SENSITIVITY ANALYSIS OF THE TREATMENT OF WIND ENERGY IN THE AEO99 VERSION OF NEMS  

E-Print Network [OSTI]

Laboratory University of California Berkeley, CA 94720 and National Renewable Energy Laboratory 1617 Cole limitations on growth in capacity; these limitations include depletion of resources, costs of rapid of the other renewable technologies, such as solar thermal and photovoltaics (PV), our findings may

12

Alternative Fuels Data Center: Lifecycle Energy Balance  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

AFDC AFDC Printable Version Share this resource Send a link to Alternative Fuels Data Center: Lifecycle Energy Balance to someone by E-mail Share Alternative Fuels Data Center: Lifecycle Energy Balance on Facebook Tweet about Alternative Fuels Data Center: Lifecycle Energy Balance on Twitter Bookmark Alternative Fuels Data Center: Lifecycle Energy Balance on Google Bookmark Alternative Fuels Data Center: Lifecycle Energy Balance on Delicious Rank Alternative Fuels Data Center: Lifecycle Energy Balance on Digg Find More places to share Alternative Fuels Data Center: Lifecycle Energy Balance on AddThis.com... More in this section... Lifecycle Energy Balance The fossil "energy balance" of ethanol has been the subject of debate despite the fact that this metric is not as useful to policymakers as

13

Energy balances for ethanol as a fuel  

Science Journals Connector (OSTI)

an energy balance has meaning only when it clearly shows the quantity of available energy in relation to the non-renewable energy consumed;

Federico Parisi

1983-01-01T23:59:59.000Z

14

Overview of NEMS-H2, Version 1.0  

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

NEMS-H2, Version 1.0 NEMS-H2, Version 1.0 Frances Wood OnLocation, Inc., Energy Systems Consulting (fwood@onlocationinc.com) January 26, 2006 OnLocation, Inc., Energy Systems Consulting 2 Today's Presentation * Overview of NEMS-H2 Structure * Current Status * New Hydrogen Market Module (HMM) * Transportation Module Modifications * Preliminary Test Runs * Looking Ahead to Next Phase OnLocation, Inc., Energy Systems Consulting 3 NEMS Overview * The National Energy Modeling System (NEMS) was developed and is maintained by EIA - Annual Energy Outlook projections - Congressional as well as agency requests * NEMS has also been used extensively outside of EIA - Various National Laboratories studies - National Commission on Energy Policy - Program offices within DOE for R&D benefits estimation * Modular structure allows each sector to be represented by

15

DOE Solar Decathlon: Energy Balance Contest  

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

Energy Balance Contest Energy Balance Contest (100 points) For the U.S. Department of Energy Solar Decathlon 2013, each team house was equipped with a bidirectional utility meter that enabled competition organizers to measure the net energy a house produced or consumed over the course of the competition. In the Energy Balance Contest, a team received full points for producing at least as much energy as its house needed, thus achieving a net energy consumption of zero during contest week. This was accomplished by balancing production and consumption. Reduced points were earned for a net electrical energy balance between -50 kWh and 0 kWh. Reduced points were scaled linearly. The final measurements for the Energy Balance Contest are shown in the graphic below. Roll over each graphic with your mouse for detailed

16

3. Energy conversion, balances, efficiency, equilibrium  

E-Print Network [OSTI]

1/124 3. Energy conversion, balances, efficiency, equilibrium (Introduction to Thermodynamics) Ron h�dm, h = u + p/ Picture: SEHB06 56/124 3.5: Energy balances; Conversion work work, work heat 96/124 Energy conversion heat work /1 "the essential rules" Picture:IO06 #12;97/124 Energy

Zevenhoven, Ron

17

Sandia National Laboratories: balance energy characteristics  

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

balance energy characteristics Biofuels Blend Right In: Researchers Show Ionic Liquids Effective for Pretreating Mixed Blends of Biofuel Feedstocks On February 26, 2013, in...

18

Annual Uncosted Balances Reports | Department of Energy  

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

Uncosted Balances Reports Uncosted Balances Reports Annual Uncosted Balances Reports Section 2307 of the Energy Policy Act of 1992 (42 U.S.C. 13526) requires the Department of Energy (Department or DOE) to submit an annual report to Congress on the state of the Department's uncosted obligations. The section requires the report to identify the uncosted obligations at the end of the previous fiscal year (FY), describe the purpose of those funds, and describe the effect the information had on the annual budget request. Documents Available for Download May 29, 2013 FY 2012 Annual Uncosted Balances Report This report represents an analysis of the Department's uncosted balances for FY 2012. June 29, 2012 FY 2011 Annual Uncosted Balances Report This report represents an analysis of the Department's uncosted balances

19

Energy Balances for Biomass Conversion Systems  

Science Journals Connector (OSTI)

Biomass conversion systems of any type, irrespective of ... measured on a consistent scale which identifies the energy efficiency of the process and of the overall system. Accurate energy balances, as well as mat...

Raphael Katzen

1983-01-01T23:59:59.000Z

20

Surface Energy Balance System (SEBS) Handbook  

SciTech Connect (OSTI)

A Surface Energy Balance System (SEBS) has been installed collocated with each deployed ECOR system at the Southern Great Plains (SGP), North Slope of Alaska (NSA), Tropical Western Pacific (TWP), ARM Mobile Facility 1 (AMF1), and ARM Mobile Facility 2 (AMF2). The surface energy balance system consists of upwelling and downwelling solar and infrared radiometers within one net radiometer, a wetness sensor, and soil measurements. The SEBS measurements allow the comparison of ECOR sensible and latent heat fluxes with the energy balance determined from the SEBS and provide information on wetting of the sensors for data quality purposes.

Cook, DR

2011-02-14T23:59:59.000Z

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


21

EIA Buildings Analysis of Consumer Behavior in NEMS  

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

Buildings Analysis of Consumer Buildings Analysis of Consumer Behavior in NEMS Behavioral Economics Experts Meeting July 17, 2013 | Washington, DC David Peterson Buildings Energy Consumption and Efficiency Analysis Overview Behavioral Economics Experts Meeting, Washington DC, July 17, 2013 2 * NEMS Structure * Housing/floorspace and service demand in Residential Demand Module (RDM) and Commercial Demand Module (CDM) * Market share calculation for equipment in RDM and CDM * Price responses / elasticities * Distributed generation (DG) & combined heat and power (CHP) NEMS Structure Behavioral Economics Experts Meeting, Washington DC, July 17, 2013 3 * Represents energy supply, conversion, and demand in a unified, but modular system * Detailed structural and process models in most energy sectors

22

NEMS Freight Transportation Module Improvement Study  

Reports and Publications (EIA)

The U.S. Energy Information Administration (EIA) contracted with IHS Global, Inc. (IHS) to analyze the relationship between the value of industrial output, physical output, and freight movement in the United States for use in updating analytic assumptions and modeling structure within the National Energy Modeling System (NEMS) freight transportation module, including forecasting methodologies and processes to identify possible alternative approaches that would improve multi-modal freight flow and fuel consumption estimation.

2015-01-01T23:59:59.000Z

23

Parameter estimation for energy balance models with memory  

Science Journals Connector (OSTI)

...model based on the energy balance of the Earth...climate dynamics. New York, NY: Springer...JA Coakley. 1981 Energy balance climate models...Climate sensitivity, energy balance models...Sciences, vol. 119. New York, NY: Springer...

2014-01-01T23:59:59.000Z

24

Obesity, Energy Balance, and Cancer: New Opportunities for Prevention  

Science Journals Connector (OSTI)

...BergerNAeditor. Energy balance and cancer. New York: Springer; 2010...MarkowitzSDBergerNAeditors. Energy balance and gastrointestinal cancer. New York: Springer; 2012...BergerNAeditor. Energy balance and cancer. New York: Springer; 2010...

Stephen D. Hursting; John DiGiovanni; Andrew J. Dannenberg; Maria Azrad; Derek LeRoith; Wendy Demark-Wahnefried; Madhuri Kakarala; Angela Brodie; and Nathan A. Berger

2012-11-01T23:59:59.000Z

25

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

26

DOE Solar Decathlon: Solar Village Energy Balance  

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

man installing PV panels on the roof of a house. man installing PV panels on the roof of a house. U.S. Department of Energy Solar Decathlon Bookmark and Share - Home About Competition Scores & Standings Teams News Photos Videos Product Directory Village Energy Balance Education Sponsors History FAQs Contacts Solar Decathlon Village Energy Balance The U.S. Department of Energy Solar Decathlon 2013 used a small power grid, or microgrid, to distribute energy safely and reliably among the competition houses and to the utility grid. hen the sun was shining, the solar electric panels on the houses produced energy that was used to power appliances, lights, mechanical systems, and electronics. Excess energy flowed from the houses, through the microgrid, and to the Orange County community when more energy was generated than

27

E-Print Network 3.0 - atmospheric energy balance Sample Search...  

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

Warming Energy Balance Summary: ? Atmosphere Warmer surface (Energy Balance) Greenhouse Effect 101: Energy Balance 12;What can affect... this balance? Atmosphere Warmer...

28

Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models  

Reports and Publications (EIA)

This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

2003-01-01T23:59:59.000Z

29

DEPARTMENT OF ENERGY PROCUREMENT SYSTEM FY 2002 BALANCED SCORECARD...  

Office of Environmental Management (EM)

OF ENERGY PROCUREMENT SYSTEM FY 2002 BALANCED SCORECARD : More Documents & Publications PBA2007 Presentation-short-6-19-07DOE&0; module 4 BalancedScorecardPerfAndMeth.pdf...

30

NEMS Freight Transportation Module Improvement Study  

Gasoline and Diesel Fuel Update (EIA)

and forecast accuracy. Challenges might include new skill development within EIA, contracting for additional commercial services, and possibly altering the manner in which NEMS...

31

Definition: Intermediate Balancing Authority | Open Energy Information  

Open Energy Info (EERE)

Intermediate Balancing Authority Intermediate Balancing Authority Jump to: navigation, search Dictionary.png Intermediate Balancing Authority A Balancing Authority Area that has connecting facilities in the Scheduling Path between the Sending Balancing Authority Area and Receiving Balancing Authority Area and operating agreements that establish the conditions for the use of such facilities.[1] Related Terms Balancing Authority, Balancing Authority Area, Scheduling Path, Sending Balancing Authority, smart grid References ↑ Glossary of Terms Used in Reliability Standards An inli LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ne Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Intermediate_Balancing_Authority&oldid=502634"

32

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-07-01T23:59:59.000Z

33

Definition: Host Balancing Authority | Open Energy Information  

Open Energy Info (EERE)

Host Balancing Authority Host Balancing Authority Jump to: navigation, search Dictionary.png Host Balancing Authority A Balancing Authority that confirms and implements Interchange Transactions for a Purchasing Selling Entity that operates generation or serves customers directly within the Balancing Authority's metered boundaries., The Balancing Authority within whose metered boundaries a jointly owned unit is physically located.[1] Related Terms Balancing Authority, Interchange Transaction, smart grid References ↑ Glossary of Terms Used in Reliability Standards An in LikeLike UnlikeLike You like this.Sign Up to see what your friends like. line Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Host_Balancing_Authority&oldid=502546" Categories:

34

Mass and Energy Balances of Wet Torrefaction of Lignocellulosic Biomass  

Science Journals Connector (OSTI)

Mass and Energy Balances of Wet Torrefaction of Lignocellulosic Biomass ... Wet torrefaction is a pretreatment process to convert biomass to energy-dense solid fuel, with relatively uniform handling characteristics. ... A wealth of research have been conducted in the wet torrefaction of lignocellulosic biomass,(5-9) but relatively few address the comprehensive mass and energy balance involved in the wet torrefaction. ...

Wei Yan; Jason T. Hastings; Tapas C. Acharjee; Charles J. Coronella; Victor R. Vsquez

2010-02-10T23:59:59.000Z

35

Production of Mallee Biomass in Western Australia: Energy Balance Analysis  

Science Journals Connector (OSTI)

Production of Mallee Biomass in Western Australia: Energy Balance Analysis ... If mallee crops prove commercially viable, a considerable centrally harvested biomass supply could be available for conversion to renewable energy and other industrial products. ... This study presents a systematic analysis of overall energy balance of mallee biomass production in WA. ...

Hongwei Wu; Qiang Fu; Rick Giles; John Bartle

2007-09-25T23:59:59.000Z

36

Balance-of-System Equipment Required for Renewable Energy Systems |  

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

Balance-of-System Equipment Required for Renewable Energy Systems Balance-of-System Equipment Required for Renewable Energy Systems Balance-of-System Equipment Required for Renewable Energy Systems July 2, 2012 - 8:21pm Addthis Both grid-connected and off-grid home renewable energy systems require additional “balance-of-system” equipment. Both grid-connected and off-grid home renewable energy systems require additional "balance-of-system" equipment. How does it work? With a stand-alone system, depending on your needs, balance-of-system equipment could account for half of your total system costs. For both stand-alone and grid-connect systems, you will need power conditioning equipment, safety equipment, and meters and instrumentation. For stand-alone systems, you will also want batteries and charge controllers.

37

THE 2001 NET ENERGY BALANCE OF CORN-ETHANOL (PRELIMINARY)  

E-Print Network [OSTI]

1 THE 2001 NET ENERGY BALANCE OF CORN-ETHANOL (PRELIMINARY) Hosein Shapouri*, U.S. Department of corn ethanol utilizing the latest survey of U.S. corn producers and the 2001 U.S. survey of ethanol to produce ethanol and byproducts. The results indicate that corn ethanol has a positive energy balance, even

Patzek, Tadeusz W.

38

Obesity, Energy Balance, and Cancer: New Opportunities for Prevention  

Science Journals Connector (OSTI)

...review-article Review Obesity, Energy Balance, and Cancer...Berger, Case Western Reserve University, 10900 Euclid...Center, Case Western Reserve University, Cleveland...considered in the context of energy balance and as potential...Today, 65% of the world's population lives...

Stephen D. Hursting; John DiGiovanni; Andrew J. Dannenberg; Maria Azrad; Derek LeRoith; Wendy Demark-Wahnefried; Madhuri Kakarala; Angela Brodie; and Nathan A. Berger

2012-11-01T23:59:59.000Z

39

The National Energy Modeling System The  

Gasoline and Diesel Fuel Update (EIA)

2000 2000 (AEO2000) are generated from the National Energy Modeling System (NEMS), developed and main- tained by the Office of Integrated Analysis and Fore- casting of the Energy Information Administration (EIA). In addition to its use in the development of the AEO projections, NEMS is also used in analytical studies for the U.S. Congress and other offices within the Department of Energy. The AEO forecasts are also used by analysts and planners in other govern- ment agencies and outside organizations. The projections in NEMS are developed with the use of a market-based approach to energy analysis. For each fuel and consuming sector, NEMS balances the energy supply and demand, accounting for the eco- nomic competition between the various energy fuels and sources. The time horizon of NEMS is the mid- term period, approximately 20 years in the future. In order to represent the regional differences

40

Balanced Scorecard Program | Department of Energy  

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

Acquisition » Balanced Acquisition » Balanced Scorecard Program Balanced Scorecard Program PLEASE NOTE: This page contains links to a great deal of information on the subject of the Balanced Scorecard (BSC). It is intended to assist DOE employees, contractors and anyone who is interested in BSC methodology. Please review each area carefully so that you can get the most benefit from this page. Should you have any questions, please contact Lorri Wilkins (procurement BSC) at (202) 287-1668, or Sarah Ball (personal property BSC) at (202) 287-1563. Acquisition Guide Chapter entitled Balanced Scorecard Assessment Program I. Introduction The BSC is a conceptual framework for translating an organization's vision into a set of performance indicators distributed among four perspectives:

Note: This page contains sample records for the topic "nems balances energy" 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

Balancing of Energy Supply and Residential Demand  

Science Journals Connector (OSTI)

Power demand of private households shows daily fluctuations and ... (BEV) and heat pumps. This additional demand, especially when it remains unmanaged, will ... to an increase in fluctuations. To balance demand,

Martin Bock; Grit Walther

2014-01-01T23:59:59.000Z

42

Energy balance in linear and nonlinear waves  

Science Journals Connector (OSTI)

We give a quantitative meaning to the often-used expression: in spatial solitons, diffraction is balanced by nonlinear refractive-index effects. After pointing out how the electric...

Ansari, Nadeem; Pask, Colin

2001-01-01T23:59:59.000Z

43

Investigation of residential central air conditioning load shapes in NEMS  

SciTech Connect (OSTI)

This memo explains what Berkeley Lab has learned about how the residential central air-conditioning (CAC) end use is represented in the National Energy Modeling System (NEMS). NEMS is an energy model maintained by the Energy Information Administration (EIA) that is routinely used in analysis of energy efficiency standards for residential appliances. As part of analyzing utility and environmental impacts related to the federal rulemaking for residential CAC, lower-than-expected peak utility results prompted Berkeley Lab to investigate the input load shapes that characterize the peaky CAC end use and the submodule that treats load demand response. Investigations enabled a through understanding of the methodology by which hourly load profiles are input to the model and how the model is structured to respond to peak demand. Notably, it was discovered that NEMS was using an October-peaking load shape to represent residential space cooling, which suppressed peak effects to levels lower than expected. An apparent scaling down of the annual load within the load-demand submodule was found, another significant suppressor of the peak impacts. EIA promptly responded to Berkeley Lab's discoveries by updating numerous load shapes for the AEO2002 version of NEMS; EIA is still studying the scaling issue. As a result of this work, it was concluded that Berkeley Lab's customary end-use decrement approach was the most defensible way for Berkeley Lab to perform the recent CAC utility impact analysis. This approach was applied in conjunction with the updated AEO2002 load shapes to perform last year's published rulemaking analysis. Berkeley Lab experimented with several alternative approaches, including modifying the CAC efficiency level, but determined that these did not sufficiently improve the robustness of the method or results to warrant their implementation. Work in this area will continue in preparation for upcoming rulemakings for the other peak coincident end uses, commercial air conditioning and distribution transformers.

Hamachi LaCommare, Kristina; Marnay, Chris; Gumerman, Etan; Chan, Peter; Rosenquist, Greg; Osborn, Julie

2002-05-01T23:59:59.000Z

44

DOE Solar Decathlon: News Blog » Energy Balance  

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

Energy Balance Energy Balance Below you will find Solar Decathlon news from the Energy Balance archive, sorted by date. New Contest Data Displays Provide Insight into Competition Scoring Saturday, October 5, 2013 By Solar Decathlon New contest data displays are now available on the U.S. Department of Energy Solar Decathlon website. If you are interested in the real-time performance of each house and want to keep a close eye on the competition, check out the Contests section pages. In the Contests section, the pages for the measured contests (Comfort Zone, Hot Water, Appliances, Home Entertainment, and Energy Balance) explain the contest requirements and provide real-time graphical displays of the accumulated measurements/scores for each team. Roll your cursor over the graphics to see more detailed information about each contest. For example,

45

Abstract B30: Indicators of energy balance and breast cancer risk among white and black women  

Science Journals Connector (OSTI)

...Lifestyle, and Genetics Physical Activity and Energy Balance Physical Activity and Energy Balance: Poster Presentations - Proffered Abstracts...2013; Atlanta, GA Abstract B30: Indicators of energy balance and breast cancer risk among white and...

Maureen Sanderson; Sandra L. Deming-Halverson; Alecia M. Fair; Martha J. Shrubsole; Alicia Beeghly-Fadiel; Sarah Nechuta; Yong Cui; David Shen-Miller; Heather O'Hara; Nia Foderingham; Xiao-Ou Shu; Wei Zheng

2014-11-01T23:59:59.000Z

46

Energy Balance Modulates Mouse Skin Tumor Promotion through Altered IGF-1R and EGFR Crosstalk  

Science Journals Connector (OSTI)

...and growth factor starved for...Results Dietary energy balance effects...malignant conversion (see also...that dietary energy balance modulated...steady-state growth factor signaling...Berger NA.Energy balance, host-related factors, and cancer...

Tricia Moore; Linda Beltran; Steve Carbajal; Stephen D. Hursting; and John DiGiovanni

2012-10-01T23:59:59.000Z

47

Numerical Implementation of the Wave Energy Balance Equation  

Science Journals Connector (OSTI)

Successful solution of the problem of hindcasting and forecasting a sea wind wave depends on the quality of the physical model, the numerical implementation of the wave energy balance equation and the accuracy of...

Professor Dr. Igor V. Lavrenov

2003-01-01T23:59:59.000Z

48

Turbulent kinetic energy balance as a tool for estimating vertical ...  

Science Journals Connector (OSTI)

Based on microstructure measurements in a simply shaped lake basin, the sources of ... Comparison with turbulent kinetic energy balances, performed in five other lakes, ...... pation (PB) is everywhere the same per unit area of sediment

1910-00-90T23:59:59.000Z

49

Analysis and Representation of Miscellaneous Electric Loads in NEMS -  

Gasoline and Diesel Fuel Update (EIA)

Analysis and Representation of Miscellaneous Electric Loads in NEMS Analysis and Representation of Miscellaneous Electric Loads in NEMS Release date: January 6, 2014 Miscellaneous Electric Loads (MELs) comprise a growing portion of delivered energy consumption in residential and commercial buildings. Recently, the growth of MELs has offset some of the efficiency gains made through technology improvements and standards in major end uses such as space conditioning, lighting, and water heating. Miscellaneous end uses, including televisions, personal computers, security systems, data center servers, and many other devices, have continued to penetrate into building-related market segments. Part of this proliferation of devices and equipment can be attributed to increased service demand for entertainment, computing, and convenience appliances.

50

Urban Energy Balance Obtained from the Comprehensive Outdoor Scale Model Experiment. Part I: Basic Features of the Surface Energy Balance  

Science Journals Connector (OSTI)

The objective of this study is to examine the basic features of the surface energy balance (SEB) using the data obtained from the Comprehensive Outdoor Scale Model (COSMO). COSMO is an idealized miniature city that has no vegetation, no human ...

Toru Kawai; Manabu Kanda

2010-07-01T23:59:59.000Z

51

Canopy radiation transmission for an energy balance snowmelt model  

E-Print Network [OSTI]

Canopy radiation transmission for an energy balance snowmelt model Vinod Mahat1 and David G January 2012. [1] To better estimate the radiation energy within and beneath the forest canopy for energy differential equations using a single path assumption were solved analytically to approximate the radiation

Tarboton, David

52

Energy Efficient Geographical Load Balancing via Dynamic Deferral of Workload  

E-Print Network [OSTI]

Energy Efficient Geographical Load Balancing via Dynamic Deferral of Workload Muhammad Abdullah to enhancements of the electrical grid raise the possibility of utilizing "cloud computing" for energy efficient computing. Energy efficiency in the cloud has been explored recently in [1], [2], [3], [4], [5]. While

Gupta, Rajesh

53

Energy Balance and Breast Cancer Risk  

Science Journals Connector (OSTI)

...Zhu Z, Jiang W. Dietary energy restriction in breast cancer...induced in mammary carcinomas by energy restriction. Cancer Res 2004...the effect of World War II in Norway. Cancer Causes Control 1996...Determinants of 24-hour energy expenditure in man. Methods...

Alecia Malin; Charles E. Matthews; Xiao-Ou Shu; Hui Cai; Qi Dai; Fan Jin; Yu-Tang Gao; and Wei Zheng

2005-06-01T23:59:59.000Z

54

The Energy Balance of Cosmic Rays  

Science Journals Connector (OSTI)

......14) Rossi B. High-Energy Particles (1952) New York. 15) Camerini , Lock...Rochester Conference on High Energy Nuclear Physics, 25-27th...High-EnC"gy Particles (New York, 1952). 15) Camerini...Rochester Conference on High Energy Nuclear Physics, 25-27......

Hiroo Komori

1955-02-01T23:59:59.000Z

55

DOE Solar Decathlon: News Blog » Energy Balance  

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

'Energy Balance' 'Energy Balance' New Contest Data Displays Provide Insight into Competition Scoring Saturday, October 5, 2013 By Solar Decathlon New contest data displays are now available on the U.S. Department of Energy Solar Decathlon website. If you are interested in the real-time performance of each house and want to keep a close eye on the competition, check out the Contests section pages. In the Contests section, the pages for the measured contests (Comfort Zone, Hot Water, Appliances, Home Entertainment, and Energy Balance) explain the contest requirements and provide real-time graphical displays of the accumulated measurements/scores for each team. Roll your cursor over the graphics to see more detailed information about each contest. For example, in the Appliances Contest graphic, the scores for running the refrigerator,

56

wellness.umd.edu 1. Choose a balanced, energy-  

E-Print Network [OSTI]

KEEP CALM AND STRESS LESS wellness.umd.edu 1. Choose a balanced, energy- sustaining meal your bank account 41. Have a dance party in your room 42. Savor a healthy fruit smoothie from Energy for when stress becomes too much to handle on your own. Make an appointment with the Counseling Center

Gruner, Daniel S.

57

Smart Meters Help Balance Energy Consumption at Solar Decathlon |  

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

Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon September 28, 2011 - 10:57am Addthis The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a Liisa O'Neill Liisa O'Neill Former New Media Specialist, Office of Public Affairs Clouds, rain, thunderstorms... at Solar Decathlon Village? Oh my, you may say. But less-than-ideal weather conditions are no match for this year's

58

Smart Meters Help Balance Energy Consumption at Solar Decathlon |  

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

Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon September 28, 2011 - 10:57am Addthis The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a Liisa O'Neill Liisa O'Neill Former New Media Specialist, Office of Public Affairs Clouds, rain, thunderstorms... at Solar Decathlon Village? Oh my, you may say. But less-than-ideal weather conditions are no match for this year's

59

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network [OSTI]

Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-01-01T23:59:59.000Z

60

Energy Balance in Extensive Air Showers  

Science Journals Connector (OSTI)

The production of an extensive air shower is discussed starting with the elementary nuclear interaction and proceeding to the development of the various components of the shower. Mention is made of experimental methods used to obtain information about the different components particularly with regard to the energy. Emphasis is placed on the division of the energy of the primary particle among the various components and the way in which this is accomplished. Some numerical values are given to typify the magnitudes involved.

John R. Green

1962-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

Free energy balance in gyrokinetic turbulence  

SciTech Connect (OSTI)

Free energy plays an important role in gyrokinetic theory, since it is known to be a nonlinear invariant. Its evolution equations are derived and analyzed for the case of ion temperature gradient driven turbulence, using the formalism adopted in the Gene code. In particular, the ion temperature gradient drive, the collisional dissipation as well as entropy/electrostatic energy transfer channels represented by linear curvature and parallel terms are analyzed in detail.

Banon Navarro, A.; Morel, P.; Albrecht-Marc, M.; Carati, D. [Statistical and Plasma Physics Laboratory, Universite Libre de Bruxelles (Belgium); Merz, F.; Goerler, T.; Jenko, F. [Max-Planck-Institut fuer Plasmaphysik, Boltzmannstr. 2, D-85748 Garching (Germany)

2011-09-15T23:59:59.000Z

62

Integrated NEMS and optoelectronics for sensor applications.  

SciTech Connect (OSTI)

This work utilized advanced engineering in several fields to find solutions to the challenges presented by the integration of MEMS/NEMS with optoelectronics to realize a compact sensor system, comprised of a microfabricated sensor, VCSEL, and photodiode. By utilizing microfabrication techniques in the realization of the MEMS/NEMS component, the VCSEL and the photodiode, the system would be small in size and require less power than a macro-sized component. The work focused on two technologies, accelerometers and microphones, leveraged from other LDRD programs. The first technology was the nano-g accelerometer using a nanophotonic motion detection system (67023). This accelerometer had measured sensitivity of approximately 10 nano-g. The Integrated NEMS and optoelectronics LDRD supported the nano-g accelerometer LDRD by providing advanced designs for the accelerometers, packaging, and a detection scheme to encapsulate the accelerometer, furthering the testing capabilities beyond bench-top tests. A fully packaged and tested die was never realized, but significant packaging issues were addressed and many resolved. The second technology supported by this work was the ultrasensitive directional microphone arrays for military operations in urban terrain and future combat systems (93518). This application utilized a diffraction-based sensing technique with different optical component placement and a different detection scheme from the nano-g accelerometer. The Integrated NEMS LDRD supported the microphone array LDRD by providing custom designs, VCSELs, and measurement techniques to accelerometers that were fabricated from the same operational principles as the microphones, but contain proof masses for acceleration transduction. These devices were packaged at the end of the work.

Czaplewski, David A.; Serkland, Darwin Keith; Olsson, Roy H., III; Bogart, Gregory R. (Symphony Acoustics, Rio Rancho, NM); Krishnamoorthy, Uma; Warren, Mial E.; Carr, Dustin Wade (Symphony Acoustics, Rio Rancho, NM); Okandan, Murat; Peterson, Kenneth Allen

2008-01-01T23:59:59.000Z

63

Development of Energy Balances for the State of California  

SciTech Connect (OSTI)

Analysts assessing energy policies and energy modelers forecasting future trends need to have access to reliable and concise energy statistics. Lawrence Berkeley National Laboratory evaluated several sources of California energy data, primarily from the California Energy Commission and the U.S. Energy Information Administration, to develop the California Energy Balance Database (CALEB). This database manages highly disaggregated data on energy supply, transformation, and end-use consumption for each type of energy commodity from 1990 to the most recent year available (generally 2001) in the form of an energy balance, following the methodology used by the International Energy Agency. This report presents the data used for CALEB and provides information on how the various data sources were reconciled. CALEB offers the possibility of displaying all energy flows in numerous ways (e.g.,physical units, Btus, petajoules, different levels of aggregation), facilitating comparisons among the different types of energy commodities and different end-use sectors. In addition to displaying energy data, CALEB can also be used to calculate state-level energy-related carbon dioxide emissions using the methodology of the Intergovernmental Panel on Climate Change.

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-12-01T23:59:59.000Z

64

Ch4. Atmosphere and Surface Energy Balances  

E-Print Network [OSTI]

than red light. #12;The Electromagnetic Spectrum 8% 47% 45% 100% solar radiation #12;Blue Sky, Red;Energy Pathways #12;Solar radiation transfer in the atmosphere Solar radiation Reflection Atmosphere or performing any work. #12;Solar radiation transfer in the atmosphere Solar radiation Reflection Transmission

Pan, Feifei

65

Energy Balance and Emissions Associated with Biochar  

E-Print Network [OSTI]

energy off- sets. 41­64% of these emission reductions are related to the retention of C in biochar offersanenergeticallyefficientstrategyforbioenergyproduction, and the land application of biochar reduces greenhouse emissions to a greater extent than when and contribute significantly to greenhouse gas emissions (1). Bioenergy produced from renewable biomass can

Lehmann, Johannes

66

California Energy Balance ENVIRONMENTAL AREA RESEARCH  

E-Print Network [OSTI]

complete and current picture of California energy supply and demand in the greatest detail possible on meaningful analysis. This study's research can serve as the starting point in developing a similar index for California. Ultimately, this index could be used as a performance index to measure progress in overall

67

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

E-Print Network [OSTI]

Renewable sources of energy supply must also be part of the equation, an equation that becomes much easier to balance when demand growth

Harris, Jeff

2008-01-01T23:59:59.000Z

68

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

E-Print Network [OSTI]

Renewable sources of energy supply must also be part of the equation, an equation that becomes much easier to balance when demand growth

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

2007-01-01T23:59:59.000Z

69

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously derived supply curves, initial price paths and international regional supply and demand levels into NEMS. These quantities are not modeled directly in NEMS because NEMS is not an international model. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2007 with the IEO2006 and the STEO some functionality was removed from the IEM. More analyst time was devoted to analyzing price relationships between marker crude oils and refined products. A new exogenous oil supply model, Generate World Oil Balances (GWOB), was also developed to incorporate actual investment occurring in the international oil market through 2015

70

ParkingMeter: Balancing Energy Savings and Service Availability  

E-Print Network [OSTI]

ParkingMeter: Balancing Energy Savings and Service Availability Riccardo Crepaldi University of Illinois at Urbana Champaign rcrepal2@illinois.edu Ryan Welsh University of Illinois at Urbana Champaign rjwelsh2@illinois.edu Robin H. Kravets University of Illinois at Urbana Champaign rhk@illinois

Kravets, Robin

71

European energy: balancing markets and policy  

Science Journals Connector (OSTI)

In the current climate of opinion, the promotion of the market as a universal panacea for all economic problems has almost become a shibboleth in the formulation of policies. The main thrust of the argument is that if markets are freed from artificial constraints, particularly those imposed by the state, the result will be the most efficient allocation of resources that best reflects individual preferences, thus advancing public interest and welfare. Yet the economic literature has long recognised that, in reality as opposed to the theoretical ideal, there are circumstances where markets can and do fail. In terms of the energy sector, the following classify broadly the market failures involved.

Bikash Mittra; Nigel Lucas; Ian Fells

1995-01-01T23:59:59.000Z

72

UK Energy Statistics: Renewables and Waste, Commodity Balances (2010) |  

Open Energy Info (EERE)

403 403 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142288403 Varnish cache server UK Energy Statistics: Renewables and Waste, Commodity Balances (2010) Dataset Summary Description Annual commodity balances (supply, consumption) for renewables and waste in the UK from 1998 to 2009. Published as part of the Digest of UK energy statistics (DUKES), by the UK Department of Energy & Climate Change (DECC). Waste includes: wood waste, farm waste, sewage gas, landfill gas, waste and tyres. Renewables includes: wood, plant-based biomass, geothermal and active solar heat, hydro, wind, wave and tidal, and liquid biofuels. These data were used to produce Tables 7.1 to 7.3 in the Digest of United Kingdom Energy Statistics 2010 (available: http://decc.gov.uk/assets/decc/Statistics/publications/dukes/348-dukes-2...).

73

Combined association of energy balance, lifestyle factors and breast cancer risk  

Science Journals Connector (OSTI)

...controls aged 25-64 years. Energy intake was assessed with a...These findings suggest that energy balance, rather than its...factor for breast cancer. Energy balance is comprised of a complex constellation of behaviors; central adiposity...

Alecia S. Malin; Chuck Matthews; Hui Cai; Herbert Yu; Xiao-Ou Shu; Fan Jin; Yu-Tang Gao; and Wei Zheng

2004-04-01T23:59:59.000Z

74

Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans  

E-Print Network [OSTI]

the likely cost of renewable energy in the longer term. ItBalancing Cost and Risk: The Treatment of Renewable EnergyBalancing Cost and Risk: The Treatment of Renewable Energy

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

75

INTRODUCTION The ability to balance the acquisition and storage of energy is  

E-Print Network [OSTI]

3160 INTRODUCTION The ability to balance the acquisition and storage of energy is essential energy balance and storage (Stubbs and Tolkamp, 2006). Despite tight regulation of energy homeostasis, 2004). Energy acquisition, use and storage all contribute to energy balance. The foraging (for) gene

Sokolowski, Marla

76

Energy-momentum balance in particle - domain wall perforating collision  

E-Print Network [OSTI]

We investigate the energy-momentum balance in the perforating collision of a point particle with an infinitely thin planar domain wall within the linearized gravity in arbitrary dimensions. Since the metric of the wall increases with distance, the wall and the particle are never free, and their energy-momentum balance involves not only the instantaneous kinetic momenta, but also the non-local contribution of gravitational stresses. However, careful analysis shows that the stresses can be unambiguously divided between the colliding objects leading to definition of the gravitationally dressed momenta. These take into account for gravity in the same way as the potential energy does in the non-relativistic theory, but our treatment is fully relativistic. Another unusual feature of our problem is the non-vanishing flux of the total energy-momentum tensor through the lateral surface of the world tube. In this case the zero divergence of the energy-momentum tensor does not imply conservation of the total momentum defined as the integral over the space-like section of the tube. But one can still define the conservation low infinitesimally, passing to time derivatives of the momenta. Using this definition we establish the momentum balance in terms of the dressed particle and wall momenta.

D. V. Gal'tsov; E. Yu. Melkumova; P. A. Spiirin

2014-11-01T23:59:59.000Z

77

EIA-Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2007 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously derived supply curves, initial price paths and international regional supply and demand levels into NEMS. These quantities are not modeled directly in NEMS because NEMS is not an international model. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2007 with the IEO2006 and the STEO some functionality was removed from the IEM. More analyst time was devoted to analyzing price relationships between marker crude oils and refined products. A new exogenous oil supply model, Generate World Oil Balances (GWOB), was also developed to incorporate actual investment occurring in the international oil market through 2015 and resource assumptions through 2030. The GWOB model provides annual country level oil production detail for eight conventional and unconventional oils.

78

Energy balance and turbulent flux partitioning in a cornsoybean rotation in the Midwestern US  

Science Journals Connector (OSTI)

Quantifying the energy balance above plant canopies is critical for ... patterns. This study examined temporal variations of energy balance terms for contrasting canopies [corn (Zea mays L.) and soybean (Glycine ...

Guillermo Hernandez-Ramirez; Jerry L. Hatfield

2010-03-01T23:59:59.000Z

79

Abstract PL02-02: Energy balance and cancer prevention: Lessons learned from clinical research  

Science Journals Connector (OSTI)

...for Cancer Research October 2011 meeting-abstract Epidemiology...Lifestyle Factors Energy Balance and...Prevention Research-- Oct 22-25...Boston, MA Abstract PL02-02: Energy balance and...from clinical research Pamela J...

Pamela J. Goodwin

2011-10-01T23:59:59.000Z

80

Abstract CN05-04: Energy balance within the community: What's new?  

Science Journals Connector (OSTI)

...meeting-abstract Prevention Research Poster Presentations...Proffered Abstracts Poster Presentations...Dietary energy balance modulates...of dietary energy balance on...Authors}. {Abstract title...for Cancer Research; 2010 Apr...

Tim E. Byers

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

Teaching Energy Balance using Round Numbers: A Quantitative Approach to the Greenhouse Effect and Global Warming  

E-Print Network [OSTI]

Teaching Energy Balance using Round Numbers: A Quantitative Approach to the Greenhouse Effect, 2003 Abstract The idea of energy balance used to explain the greenhouse effect and global warming and astronomy curricula. The idea of energy balance is used to explain the greenhouse effect and global warming

Blais, Brian

82

Dietary Energy Balance Modulates Prostate Cancer Progression in Hi-Myc Mice  

Science Journals Connector (OSTI)

...research-article Research Articles Dietary Energy Balance Modulates Prostate Cancer...signaling may play a role in dietary energy balance effects on prostate...control and DIO diet groups show a mix of in situ and invasive adenocarcinomas...conducted to identify dietary energy balance-related changes in...

Jorge Blando; Tricia Moore; Stephen Hursting; Guiyu Jiang; Achinto Saha; Linda Beltran; Jianjun Shen; John Repass; Sara Strom; and John DiGiovanni

2011-12-01T23:59:59.000Z

83

Energy Balance, the PI3K-AKT-mTOR Pathway Genes, and the Risk of Bladder Cancer  

Science Journals Connector (OSTI)

...subgroups as defined energy balance status. Compared with...intake and smoking status. Energy balance reflects...physical activity, energy balance, and cancer...socioeconomic status, and risks of...bladder cancer in US men and women...

Jie Lin; Jianming Wang; Anthony J. Greisinger; H. Barton Grossman; Michele R. Forman; Colin P. Dinney; Ernest T. Hawk; and Xifeng Wu

2010-04-01T23:59:59.000Z

84

Energy-momentum balance in particle - domain wall perforating collision  

E-Print Network [OSTI]

We investigate the energy-momentum balance in the perforating collision of a point particle with an infinitely thin planar domain wall within the linearized gravity in arbitrary dimensions. Since the metric of the wall increases with distance, the wall and the particle are never free, and their energy-momentum balance involves not only the instantaneous kinetic momenta, but also the non-local contribution of gravitational stresses. However, careful analysis shows that the stresses can be unambiguously divided between the colliding objects leading to definition of the gravitationally dressed momenta. These take into account for gravity in the same way as the potential energy does in the non-relativistic theory, but our treatment is fully relativistic. Another unusual feature of our problem is the non-vanishing flux of the total energy-momentum tensor through the lateral surface of the world tube. In this case the zero divergence of the energy-momentum tensor does not imply conservation of the total momentum de...

Gal'tsov, D V; Spiirin, P A

2014-01-01T23:59:59.000Z

85

Coordinated Home Energy Management for Real-Time Power Balancing  

E-Print Network [OSTI]

This paper proposes a coordinated home energy management system (HEMS) architecture where the distributed residential units cooperate with each other to achieve real-time power balancing. The economic benefits for the retailer and incentives for the customers to participate in the proposed coordinated HEMS program are given. We formulate the coordinated HEMS design problem as a dynamic programming (DP) and use approximate DP approaches to efficiently handle the design problem. A distributed implementation algorithm based on the convex optimization based dual decomposition technique is also presented. Our focus in the current paper is on the deferrable appliances, such as Plug-in (Hybrid) Electric Vehicles (PHEV), in view of their higher impact on the grid stability. Simulation results shows that the proposed coordinated HEMS architecture can efficiently improve the real-time power balancing.

Chang, Tsung-Hui; Scaglione, Anna

2012-01-01T23:59:59.000Z

86

Seasonal contrast in the surface energy balance of the Sahel R. L. Miller,1,2  

E-Print Network [OSTI]

Africa, soil moisture is often so depleted that solar heating is balanced mainly by longwave radiationSeasonal contrast in the surface energy balance of the Sahel R. L. Miller,1,2 A. Slingo,3,4 J. C (AMF) in Niamey, Niger, evaporation makes a significant contribution to the surface energy balance only

87

Enforcing elemental mass and energy balances for reduced order models  

SciTech Connect (OSTI)

Development of economically feasible gasification and carbon capture, utilization and storage (CCUS) technologies requires a variety of software tools to optimize the designs of not only the key devices involved (e., g., gasifier, CO{sub 2} adsorber) but also the entire power generation system. High-fidelity models such as Computational Fluid Dynamics (CFD) models are capable of accurately simulating the detailed flow dynamics, heat transfer, and chemistry inside the key devices. However, the integration of CFD models within steady-state process simulators, and subsequent optimization of the integrated system, still presents significant challenges due to the scale differences in both time and length, as well the high computational cost. A reduced order model (ROM) generated from a high-fidelity model can serve as a bridge between the models of different scales. While high-fidelity models are built upon the principles of mass, momentum, and energy conservations, ROMs are usually developed based on regression-type equations and hence their predictions may violate the mass and energy conservation laws. A high-fidelity model may also have the mass and energy balance problem if it is not tightly converged. Conservations of mass and energy are important when a ROM is integrated to a flowsheet for the process simulation of the entire chemical or power generation system, especially when recycle streams are connected to the modeled device. As a part of the Carbon Capture Simulation Initiative (CCSI) project supported by the U.S. Department of Energy, we developed a software framework for generating ROMs from CFD simulations and integrating them with Process Modeling Environments (PMEs) for system-wide optimization. This paper presents a method to correct the results of a high-fidelity model or a ROM such that the elemental mass and energy are conserved perfectly. Correction factors for the flow rates of individual species in the product streams are solved using a minimization algorithm based on Lagrangian multiplier method. Enthalpies of product streams are also modified to enforce the energy balance. The approach is illustrated for two ROMs, one based on a CFD model of an entrained-flow gasifier and the other based on the CFD model of a multiphase CO{sub 2} adsorber.

Ma, J.; Agarwal, K.; Sharma, P.; Lang, Y.; Zitney, S.; Gorton, I.; Agawal, D.; Miller, D.

2012-01-01T23:59:59.000Z

88

Energy and greenhouse gas balances of cassava-based ethanol  

Science Journals Connector (OSTI)

Biofuel production has been promoted to save fossil fuels and reduce greenhouse gas (GHG) emissions. However, there have been concerns about the potential of biofuel to improve energy efficiency and mitigate climate change. This paper investigates energy efficiency and GHG emission saving of cassava-based ethanol as energy for transportation. Energy and GHG balances are calculated for a functional unit of 1km of road transportation using life-cycle assessment and considering effects of land use change (LUC). Based on a case study in Vietnam, the results show that the energy input for and GHG emissions from ethanol production are 0.93MJ and 34.95g carbon dioxide equivalent per megajoule of ethanol respectively. The use of E5 and E10 as a substitute for gasoline results in energy savings, provided that their fuel consumption in terms of liter per kilometer of transportation is not exceeding the consumption of gasoline per kilometer by more than 2.4% and 4.5% respectively. It will reduce GHG emissions, provided that the fuel consumption of E5 and E10 is not exceeding the consumption of gasoline per kilometer by more than 3.8% and 7.8% respectively. The quantitative effects depend on the efficiency in production and on the fuel efficiency of E5 and E10. The variations in results of energy input and GHG emissions in the ethanol production among studies are due to differences in coverage of effects of LUC, CO2 photosynthesis of cassava, yields of cassava, energy efficiency in farming, and by-product analyses.

Loan T. Le; Ekko C. van Ierland; Xueqin Zhu; Justus Wesseler

2013-01-01T23:59:59.000Z

89

Energy requirements for a swimming pool through a water-atmosphere energy balance  

SciTech Connect (OSTI)

The methodology displayed here is to calculate the energy requirements for heating a swimming pool to a desired temperature. This methodology consists of an energy balance between water-atmosphere as is used in the temperature evaluation of cooling ponds in power plants. Different mathematical expressions are given to calculate such a balance. It is necessary to know the month of the year, the ambient temperature, relative humidity, wind velocity, and solar radiation. With these parameters it is possible to know the natural temperature of the water, natural evaporation, energy needed to reach a determined swimming pool temperature and the evaporation of the heated pool.

Almanza, F.; Lara, J. (Ciudad Universitaria (Mexico))

1994-07-01T23:59:59.000Z

90

A Dynamic Query-tree Energy Balancing Protocol for Sensor Networks  

E-Print Network [OSTI]

A Dynamic Query-tree Energy Balancing Protocol for Sensor Networks H. Yang, F. Ye and B. Sikdar a "Dynamic Query-tree Energy Balancing" (DQEB) protocol to dynamically adjust the tree structure and minimize networks. In [15] it has been shown that the minimum- energy broadcast tree problem is NP

Sikdar, Biplab

91

Energy balance and fundamental relations in dynamic anisotropic poro-viscoelasticity  

Science Journals Connector (OSTI)

...2000.0669 Energy balance and fundamental relations in dynamic anisotropic...energy balance equation and fundamental relations are obtained for...direction of energy flux (ray) does not coincide with the wavenumber...the propagation direction does not coincide with the attenuation...

2001-01-01T23:59:59.000Z

92

Balancing Energy Consumption and Food Quality Loss in Supermarket Refrigeration System  

E-Print Network [OSTI]

Balancing Energy Consumption and Food Quality Loss in Supermarket Refrigeration System J. Cai and J- tion of commercial refrigeration system, featuring balanced system energy consumption and food quality energy consumption and food quality loss, at varying ambient condition, in a supermarket refrigeration

Skogestad, Sigurd

93

Relationship Between Wind Generation and Balancing Energy Market Prices in ERCOT: 2007-2009  

SciTech Connect (OSTI)

This paper attempts to measure the average marginal effects of wind generation on the balancing-energy market price in ERCOT with the help of econometric analysis.

Nicholson, E.; Rogers, J.; Porter, K.

2010-11-01T23:59:59.000Z

94

Quantifying the system balancing cost when wind energy is incorporated into electricity generation system.  

E-Print Network [OSTI]

??Incorporation of wind energy into the electricity generation system requires a detailed analysis of wind speed in order to minimize system balancing cost and avoid (more)

Issaeva, Natalia

2009-01-01T23:59:59.000Z

95

Nucleotide Pools and Adenylate Energy Charge in Balanced and Unbalanced Growth of Chromatium  

Science Journals Connector (OSTI)

...Pools and Adenylate Energy Charge in Balanced...University, Ithaca, New York 14850 Adenine nucleotide pools and their energy charge were measured...University, Ithaca, New York 14850 Received for...nucleotide pools and their energy charge were measured...

Margaret L. Miovi?; Jane Gibson

1973-04-01T23:59:59.000Z

96

Overview of NEMS-H2, Version 1.0  

Broader source: Energy.gov [DOE]

Presentation on Overview of NEMS-H2, Version 1.0 given by Frances Wood of OnLocation during the DOE Hydrogen Transition Analysis Workshop on January 26, 2006.

97

Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses - Appendix E: Other NEMS-MP Results for the Base Case and Scenarios  

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

Appendix E: Other NEMS-MP Results Appendix E: Other NEMS-MP Results for the Base Case and Scenarios Energy Systems Division Availability of This Report This report is available, at no cost, at http://www.osti.gov/bridge. It is also available on paper to the U.S. Department of Energy and its contractors, for a processing fee, from: U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62

98

Energy balance and partition in Inner Mongolia steppe ecosystems with different land use types  

E-Print Network [OSTI]

decades, intense human activities, such as over-grazing, mowing and crop cultivation have led to severeEnergy balance and partition in Inner Mongolia steppe ecosystems with different land use types surface, including radiation balance, energy partitioning, aerodynamic characteristics, leaf area index

Chen, Jiquan

99

FY 2007 Annual Uncosted Balances Report | Department of Energy  

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

Annual Uncosted Balances Reports » FY 2007 Annual Annual Uncosted Balances Reports » FY 2007 Annual Uncosted Balances Report FY 2007 Annual Uncosted Balances Report The Department faced significant challenges due to the unusually long Continuing Resolution (CR), which extended until April 2007. Under the CR the Department must act conservatively to ensure that obligations and costs are restrained in order to mitigate any negative impacts should actual appropriations differ significantly from planned and budgeted amounts. In addition, the Department is prohibited from engaging in any "new starts" for contracts or projects, which means that these activities are deferred until later in the year, thereby increasing the amount of uncosted balances at year-end since the costing cycle is, in essence, no longer on a fiscal

100

DOE Solar Decathlon: News Blog » Blog Archive » Energy Balance Contest  

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

Energy Balance Contest Rewards Teams for Producing Only the Energy They Energy Balance Contest Rewards Teams for Producing Only the Energy They Need Friday, September 23, 2011 By Carol Anna One of the 10 contests in the U.S. Department of Energy Solar Decathlon 2011, Energy Balance measures the net energy each house produces or consumes over the course of the competition. The Energy Balance Contest simulates how most residential solar electric systems work today. Each team house is equipped with a bidirectional utility meter that enables power flow to and from the electric utility. When the sun shines, the house's solar electric system produces electricity. If the system produces more electricity than the house needs, the excess electricity flows backward through the meter to the grid. At night, when the solar electric system is not producing electricity and the

Note: This page contains sample records for the topic "nems balances energy" 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

Development and application of material and energy balance regularities for renewable energy resources. Final report  

SciTech Connect (OSTI)

The characterization of renewable energy resources is necessary in order to make mass and energy balances for processes which use these substances. This work is concerned with the identification of regularities associated with organic compounds and renewable energy resources. The carbon weight fraction, the reductance degree or equivalents of available electrons per gram atom carbon, the heat of combustion per gram equivalent of available electrons, and the free energy of combustion per gram equivalent of available electrons are investigated. Values of these regularities are reported for organic compounds and renewable resources. 31 references, 4 figures, 48 tables.

Erickson, L.E.; Patel, S.A.

1981-01-01T23:59:59.000Z

102

BALANCING NATURAL AND ARTIFICIAL LIGHTING IN ENERGY CONSERVING COMMERCIAL GREENHOUSES: A MONTHLY ENERGY MODEL  

Science Journals Connector (OSTI)

ABSTRACT A model is proposed to calculate the heating and lighting energy fluxes in any type of greenhouse. A probabilistic approach is used to estimate the fractional time that the lighting system has to provide supplemental light at a given level. The comparisons with a one-year measured data set are satisfactory. The lamps contributed significantly (42%) to the heating load. The energy conservation potential of adding a thermal curtain or a heat storage is determined. The balance between the natural and artificial light levels is discussed, as well as the constraints to the artificial lighting technology. KEYWORDS Greenhouse, artificial lighting, energy modelling, photosynthetically active radiation, storage, energy conservation.

Christian GUEYMARD

1988-01-01T23:59:59.000Z

103

Abstract 2830: Energy balance and breast cancer risk among sisters pairs in the Breast Cancer Family Registry Study  

Science Journals Connector (OSTI)

...for Cancer Research 7 January 2010 meeting-abstract Behavioral...Abstracts - Energy Balance: From...and Community Abstracts: AACR International...Prevention Research-- Dec 6-9...Houston, TX Abstract CN05-04: Energy balance within...

Fang Fang Zhang; Esther M. John; Dee W. West; Julia Knight; Irene Andrulis; Saundra Buys; Mary Daly; Beth Stearman; Manleen Kaur; Jamboor Vishwanatha; Alfredo Morabia; and Mary Beth Terry

2010-04-15T23:59:59.000Z

104

Comparative analysis of net energy balance for satellite power systems (SPS) and other energy systems  

SciTech Connect (OSTI)

The net energy balance of seven electric energy systems is assessed: two coal-based, one nuclear, two terrestrial solar, and two solar power satellites, with principal emphasis on the latter two systems. Solar energy systems require much less operating energy per unit of electrical output. However, on the basis of the analysis used here, coal and nuclear systems are two to five times more efficient at extracting useful energy from the primary resource base than are the solar energy systems. The payback period for all systems is less than 1.5 years, except for the terrestrial photovoltaic (19.8 yr) and the solar power satellite system (6.4 yr), both of which rely on energy-intensive silicon cells.

Cirillo, R.R.; Cho, B.S.; Monarch, M.R.; Levine, E.P.

1980-04-01T23:59:59.000Z

105

Association of Energy Intake and Energy Balance with Postmenopausal Breast Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial  

Science Journals Connector (OSTI)

...may also underreport energy intake and overreport...linked to breast cancer status, and our questionnaires...unmeasured components of energy balance, such as occupational...recreational activity, enabled us to consider all three energy balance variables concurrently...

Shih-Chen Chang; Regina G. Ziegler; Barbara Dunn; Rachael Stolzenberg-Solomon; James V. Lacey, Jr.; Wen-Yi Huang; Arthur Schatzkin; Douglas Reding; Robert N. Hoover; Patricia Hartge; and Michael F. Leitzmann

2006-02-01T23:59:59.000Z

106

DEPARTMENT OF ENERGY PROCUREMENT SYSTEM FY 2002 BALANCED SCORECARD :  

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

PROCUREMENT & ASSISTANCE MANAGEMENT PROCUREMENT & ASSISTANCE MANAGEMENT FY 2008 BALANCED SCORECARD PERFORMANCE MANAGEMENT PROGRAM National Core Performance Measures Supporting Corporate Management Initiatives January 2008 2 Balanced Scorecard Methodology * The BSC is a structured approach to performance measurement and performance management that links the organization's strategic thinking to the activities necessary to achieve desired results * The BSC is a vehicle for communicating an organization's strategic direction and for measuring achievements towards these predetermined objectives * The BSC clearly establishes linkage between strategic objectives, the measures for determining progress, the stretch targets established, and the focused initiatives needed to move the organization forward to meet those

107

Dietary Energy Balance Modulation of Kras- and Ink4a/Arf+/?-Driven Pancreatic Cancer: The Role of Insulin-like Growth Factor-I  

Science Journals Connector (OSTI)

...research-article Research Articles Dietary Energy Balance Modulation of Kras- and Ink4a...we tested the hypothesis that dietary energy balance modulation impacts pancreatic...with IGF-I infusion. Thus, dietary energy balance modulation impacts spontaneous...

Laura M. Lashinger; Lauren M. Harrison; Audrey J. Rasmussen; Craig D. Logsdon; Susan M. Fischer; Mark J. McArthur; Stephen D. Hursting

2013-10-01T23:59:59.000Z

108

John L Gaunt and Johannes Lehmann Energy balance and emissions associated with biochar sequestration and pyrolysis  

E-Print Network [OSTI]

2 Table S1. Energy inputs (Mj ha-1 ) associated with bio-energy crop production Forage Corn CropS1 John L Gaunt and Johannes Lehmann Energy balance and emissions associated with biochar sequestration and pyrolysis bioenergy production Summary of tables Data are provided energy inputs (Mj ha-1

Lehmann, Johannes

109

Water and Surface Energy Balance Modeling in Botswana  

Science Journals Connector (OSTI)

From January-March 1989 an intensive field campaign was held in the eastern savanna of Botswana, Africa, to collect ground data to parameterize models which can be used to determine the physical status and water-balance terms of the earth's ...

A. A. Van de Griend; M. Owe; H. F. Vugts; S. D. Prince

1989-11-01T23:59:59.000Z

110

Parameter estimation of coupled water and energy balance models based on stationary constraints of surface states  

E-Print Network [OSTI]

[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...

Sun, Jian

111

Estimation of land surface water and energy balance flux components and closure relation using conditional sampling  

E-Print Network [OSTI]

Models of terrestrial water and energy balance include numerical treatment of heat and moisture diffusion in the soil-vegetation-atmosphere continuum. These two diffusion and exchange processes are linked only at a few ...

Farhadi, Leila

2012-01-01T23:59:59.000Z

112

Quantifying the system balancing cost when wind energy is incorporated into electricity generation system  

E-Print Network [OSTI]

Incorporation of wind energy into the electricity generation system requires a detailed analysis of wind speed in order to minimize system balancing cost and avoid a significant mismatch between supply and demand. Power ...

Issaeva, Natalia

2009-01-01T23:59:59.000Z

113

Assessment and Suggestions to Improve the Commercial Building Module of EIA-NEMS  

E-Print Network [OSTI]

use from the base case divided by the total change in lighting electricity use from the base case. VI LIST OF FIGURES Figure 1. Impact of lighting energy reduction on heating and cooling energy use in the large office building Figure 2. Impact...-South-Central) for the Commercial Sector Demand Module of NEMS. Units are in MBtu/sq.ft./year. E = Electricity NG = Natural Gas O = Other LA This was usually done by metering consumption before and after the retrofit and then analyzing the data to account for weather and changes...

O'Neal, D. L.; Reddy, T. A.; Sucher, B.

1996-01-01T23:59:59.000Z

114

Balancing Energy and Water Consumption in an Urban Desert Environment: A Case  

E-Print Network [OSTI]

Balancing Energy and Water Consumption in an Urban Desert Environment: A Case Study on Phoenix, AZ effect, water scarcity, and energy consumption. The transformation of native landscapes into built to cool homes. Identifying Direct and Indirect Costs of Water and Energy Consumption Study Area Although

Hall, Sharon J.

115

Observations on the Energy Balance of Internal Waves during JASIN [and Discussion  

Science Journals Connector (OSTI)

...research-article Observations on the Energy Balance of Internal Waves during JASIN [and Discussion...variation at one site of internal wave energy over a 40 day period during...wavefield, and the internal wave energy 11 days later. The Royal Society...

1983-01-01T23:59:59.000Z

116

The Estimation of the Marine Main Diesel Engine Energy Balance  

Science Journals Connector (OSTI)

The basis of impact of energy device (marine main diesel engine) on its environment in terms of energy ... . Types of energy and exergy characterizing the marine main diesel engine are presented. The description ...

Z. Matuszak; G. Nicewicz

2014-01-01T23:59:59.000Z

117

Development of Energy Balances for the State of California  

E-Print Network [OSTI]

solar photovoltaic and secondary electricity produced from converted thermal energy.solar photovoltaic and secondary electricity produced from converted thermal energy.non- thermal energy sources (e.g. , hydro, wind, solar, and

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-01-01T23:59:59.000Z

118

Off-Balance Sheet Financing for Industrial Energy Efficiency Projects  

E-Print Network [OSTI]

Traditionally, energy efficiency projects have been financed by energy service companies (ESCOs) under a shared savings arrangement known as performance contracting. Essentially, performance contracting packages engineering, procurement...

Williams, S. J.

119

Balance Engineering and Eli Lily Teaming Profile | ENERGY STAR Buildings &  

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

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

120

Appendix E: Other NEMS-MP results for the base case and scenarios.  

SciTech Connect (OSTI)

The NEMS-MP model generates numerous results for each run of a scenario. (This model is the integrated National Energy Modeling System [NEMS] version used for the Multi-Path Transportation Futures Study [MP].) This appendix examines additional findings beyond the primary results reported in the Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses (Reference 1). These additional results are provided in order to help further illuminate some of the primary results. Specifically discussed in this appendix are: (1) Energy use results for light vehicles (LVs), including details about the underlying total vehicle miles traveled (VMT), the average vehicle fuel economy, and the volumes of the different fuels used; (2) Resource fuels and their use in the production of ethanol, hydrogen (H{sub 2}), and electricity; (3) Ethanol use in the scenarios (i.e., the ethanol consumption in E85 vs. other blends, the percent of travel by flex fuel vehicles on E85, etc.); (4) Relative availability of E85 and H2 stations; (5) Fuel prices; (6) Vehicle prices; and (7) Consumer savings. These results are discussed as follows: (1) The three scenarios (Mixed, (P)HEV & Ethanol, and H2 Success) when assuming vehicle prices developed through literature review; (2) The three scenarios with vehicle prices that incorporate the achievement of the U.S. Department of Energy (DOE) program vehicle cost goals; (3) The three scenarios with 'literature review' vehicle prices, plus vehicle subsidies; and (4) The three scenarios with 'program goals' vehicle prices, plus vehicle subsidies. The four versions or cases of each scenario are referred to as: Literature Review No Subsidies, Program Goals No Subsidies, Literature Review with Subsidies, and Program Goals with Subsidies. Two additional points must be made here. First, none of the results presented for LVs in this section include Class 2B trucks. Results for this class are included occasionally in Reference 1. They represent a small, though noticeable, segment of the 'LV plus 2B' market (e.g., a little more than 3% of today's energy use in that market). We generally do not include them in this discussion, simply because it requires additional effort to combine the NEMS-MP results for them with the results for the other LVs. (Where there is an exception, we will indicate so.) Second, where reference is made to E85, the ethanol content is actually 74%. The Energy Information Administration (EIA) assumes that, to address cold-starting issues, the percent of ethanol in E85 will vary seasonally. The EIA uses an annual average ethanol content of 74% in its forecasts. That assumption is maintained in the NEMS-MP scenario runs.

Plotkin, S. E.; Singh, M. K.; Energy Systems

2009-12-03T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

All-nanophotonic NEMS biosensor on a chip  

E-Print Network [OSTI]

Integrated chemical and biological sensors give advantages in cost, size and weight reduction and open new prospects for parallel monitoring and analysis. Biosensors based on nanoelectromechanical systems (NEMS) are the most attractive candidates for the integrated platform. However, actuation and transduction techniques (e.g. electrostatic, magnetomotive, thermal or piezoelectric) limit their operation to laboratory conditions. All-optical approach gives the possibility to overcome this problem, nevertheless, the existing schemes are either fundamentally macroscopic or excessively complicated and expensive in mass production. Here we propose a novel scheme of extremely compact NEMS biosensor monolithically integrated on a chip with all-nanophotonic transduction and actuation. It consists of the photonic waveguide and the nanobeam cantilever placed above the waveguide, both fabricated in the same CMOS-compatible process. Being in the near field of the strongly confined photonic mode, cantilever is efficiently...

Fedyanin, Dmitry Yu

2014-01-01T23:59:59.000Z

122

A Boiler Plant Energy Efficiency and Load Balancing Survey  

E-Print Network [OSTI]

Daily energy use data was used to perform an energy efficiency survey of a medium-sized university boiler plant. The physical plant operates centralized mechanical plants to provide both chilled water and steam for building conditioning. Steam...

Nutter, D. W.; Murphy, D. R.

123

Balancing Trust and Automation Needs for Effective Home Energy Management  

Science Journals Connector (OSTI)

With the increasing shortage of energy resources and the adverse impact of non-renewable fuels on the environment, there is a shift in the consumers mindset to emphasize managing and utilizing energy efficiently...

Hari Thiruvengada; Pallavi Dharwada

2011-01-01T23:59:59.000Z

124

Energy confinement studies in the tandem mirror experiment (TMX): Power balance  

Science Journals Connector (OSTI)

The power balance in the Tandem Mirror Experiment (TMX) is studied for several days of operation. Between them these days typified the operating range of TMX. Examining the power balance on axis it is found that 60% to 100% of the power is carried to the end walls by escaping central?cell ions. Globally these calculations account for 70% to 100% of the input power on each of the days studied. Based upon the power balance the energy confinement times of the particle species are calculated. The end?cell ion energy confinement time is similar to that achieved in the 2XIIB single?cell magnetic mirror experiment whereas the electron energy confinement in TMX was 10 to 100 times better. The central?cell ion energy confinement in the central flux tube was determined by axial particle loss. At the central?cell plasma?edge radial particle transport and charge exchange with the fueling gas are important processes.

D. P. Grubb; S. L. Allen; T. A. Casper; J. F. Clauser; F. H. Coensgen; D. L. Correll; W. C. Cummins; J. C. Davis; D. Dietrich; R. P. Drake; J. H. Foote; R. J. Fortner; A. H. Futch; R. K. Goodman; G. E. Gryczkowski; E. B. Hooper Jr.; R. S. Hornady; A. L. Hunt; C. V. Karmendy; T. Nash; W. E. Nexsen; W. L. Pickles; G. D. Porter; P. Poulsen; T. C. Simonen; D. R. Slaughter; G. A. Hallock; O. T. Strand

1983-01-01T23:59:59.000Z

125

Sensor Network Lifetime Maximization Via Sensor Energy Balancing: Construction and Optimal Scheduling of Sensor Trees  

E-Print Network [OSTI]

in such a way that the total energy usage of the active sensor nodes in the tree is minimized. However whenSensor Network Lifetime Maximization Via Sensor Energy Balancing: Construction and Optimal Scheduling of Sensor Trees Ling Shi , Agostino Capponi , Karl H. Johansson and Richard M. Murray Abstract

Johansson, Karl Henrik

126

Control and Size Energy Storage for Managing Energy balance of Variable Generation Resources  

SciTech Connect (OSTI)

This paper presents control algorithms and sizing strategies for using energy storage to manage energy balance for variable generation resources. The control objective is to minimize the hourly generation imbalance between the actual and the scheduled generation of the wind farm. Three control algorithms are compared: tracking power imbalance, post-compensation, and pre-compensation. Measurement data from a wind farm located in South-central Washington State are used in the study. The results show that tracking power imbalance yields the best performance by keeping the hourly energy imbalances zero. However, the energy storage system (ESS) will be significantly oversized. Post-compensation reduces power rating of the ESS but the hourly imbalance may not be kept as zero when large and long-lasting energy imbalances occur. A linear regression forecasting algorithm is developed for the pre-compensation algorithm to pre-charge or pre-discharge the ESS based on predicted energy imbalances. The performance comparison shows that the pre-compensation method significantly reduces the size of the ESS while maintaining satisfactory performance.

Ke, Xinda; Lu, Ning; Jin, Chunlian

2014-10-27T23:59:59.000Z

127

Energy balance in laser-irradiated vaporizing droplets  

Science Journals Connector (OSTI)

The interactions of vaporizing aerosols with a high energy laser beam are analyzed in the diffusive vaporization regime. This is the regime in which diffusive mass transport and...

Zardecki, Andrew; Armstrong, Robert L

1988-01-01T23:59:59.000Z

128

Minimizing Wind Power Producer's Balancing Costs Using Electrochemical Energy Storage: Preprint  

SciTech Connect (OSTI)

This paper examines how electrochemical energy storage can be used to decrease the balancing costs of a wind power producer in the Nordic market. Because electrochemical energy storage is developing in both technological and financial terms, a sensitivity analysis was carried out for the most important variables in the wind-storage hybrid system. The system was studied from a wind power producer's point of view. The main result is that there are no technical limitations to using storage for reducing the balancing costs. However, in terms of economic feasibility, installing hybrid wind-storage systems such as the one studied in this paper faces challenges in both the short and long terms.

Miettinen, J.; Tikka, V.; Lassila, J.; Partanen, J.; Hodge, B. M.

2014-08-01T23:59:59.000Z

129

International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 23 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 International Energy Module The NEMS International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the NEMS IEM computes world oil prices, provides a supply curve of world crude-like liquids, generates a worldwide oil supply- demand balance with regional detail, and computes quantities of crude oil and light and heavy petroleum products imported into

130

Evaluation of Sludge Characteristics and Carbon Dioxide Emissions of Full-scale Wastewater Treatment Plants in China by Mass and Energy Balances  

Science Journals Connector (OSTI)

Energy balances were used to evaluate the characteristics of sludge and to calculate the carbon dioxide emissions in the WWTPs in this study. To avoid the errors, mass balances by TP have been used to calibrate the relating data before making energy ... Keywords: Sludge, CEP, mass balance, energy balance, carbon dioxide

Gan Wang; Yongzhen Peng; Shuying Wang; Gan Wang; Hongxun Hou

2012-05-01T23:59:59.000Z

131

Energy Balance for Ethyl Alcohol Production from Crops  

Science Journals Connector (OSTI)

...used in agricultural and industrial processing, except the solar energy that the plants use for growth. Moreira and Goldemberg...which they live to-gether in the Serengeti National Park of Tanzania. During the wet season, which extends from November through...

JOS GOMES DA SILVA; GIL EDUARDO SERRA; JOS ROBERTO MOREIRA; JOS CARLOS CONALVES; JOS GOLDEMBERG

1978-09-08T23:59:59.000Z

132

Balancing Energy and Food Production, 1975-2000  

Science Journals Connector (OSTI)

...of these three fuels, natural gas has...three main fossil fuels coal has the most...power-driven pumps, and engine-powered traction...per capita energy consumption in the United States...from the system) of diesel fuel of around $550 per...

W. J. Chancellor; J. R. Goss

1976-04-16T23:59:59.000Z

133

Electrolysis for Energy Storage & Grid Balancing in West Denmark  

E-Print Network [OSTI]

& Solutions 16 4. Electrolysis at West Denmark's Decentral Power Stations (incl. Stationary Fuel Cells) 24 5 teknologiudvikling ved afslutningen af den billge oilies æra) 11 3. Danish Wind Carpet Behaviour, Challenges was supported and sponsored by Energistyrelsen (Danish Energy Authority), Amaliegade 44, 1256 Copenhagen K www

134

ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0  

E-Print Network [OSTI]

of Vibration and Acoustics, 131 (4) 041005, 2009 Measurement of damping forces, such as dry frictionESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0 B@egr.msu.edu ABSTRACT A method of estimating damping parameters for multi- degree-of-freedom vibration systems

Feeny, Brian

135

I. Abstract Vegetation plays an important role in the surface energy and water balance of wetlands.  

E-Print Network [OSTI]

as Phragmites australis) have been removed from portions of the riparian corridor in an effort to halt. australis land cover. Water and Energy Balance Response in Response to the Removal of Invasive Phragmites of a P. australis-dominated riparian wetland in south-central Nebraska to assess the potential

Nebraska-Lincoln, University of

136

Thermophilic Anaerobic Digestion to Increase the Net Energy Balance of Corn Grain Ethanol  

Science Journals Connector (OSTI)

Thermophilic Anaerobic Digestion to Increase the Net Energy Balance of Corn Grain Ethanol ... However, the calculation did not include the energetic costs to physically replace the evaporator with the integrated digester system (this will be a relatively small fraction of the energy input because the percentage of energy input per unit of ethanol energy output for construction of the entire conventional dry mill is 0.2% (4)); the improved quality in animal feed (DDG vs DDGS); nor the available waste heat from circumventing thin stillage evaporation. ...

Matthew T. Agler; Marcelo L. Garcia; Eric S. Lee; Martha Schlicher; Largus T. Angenent

2008-08-05T23:59:59.000Z

137

Energy balance, forecasting of bioelectricity generation and greenhouse gas emission balance in the ethanol production at sugarcane mills in the state of Mato Grosso do Sul  

Science Journals Connector (OSTI)

The aim of this paper is to present aspects about the energy balance of sugarcane crops and its carbon dioxide emissions. We calculate energy used in agricultural, industrial and distribution sectors by five sugarcane mills of Mato Grosso do Sul and we compare the yield with its energy delivery. The energy balance obtained, with an average 6.8, shows that is advantageous to produce ethanol in the lands of that Brazilian state. We have prepared a forecasting of electricity production from bagasse taking into account two types of technology. Finally, we present the potential value of CO2 emitted by the five mills to evaluate greenhouse gas emissions of the ethanol production valor chain.

Mirko V. Turdera

2013-01-01T23:59:59.000Z

138

International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 International Energy Module The NEMS International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the NEMS IEM computes oil prices, provides a supply curve of world crude-like liquids, generates a worldwide oil supply- demand balance with regional detail, and computes quantities of crude oil and light and heavy petroleum products imported into the United States by export region. Changes in the oil price (WTI), which is defined as the price of light, low-sulfur crude oil delivered to Cushing, Oklahoma in

139

An energy-efficient adaptive clustering algorithm with load balancing for wireless sensor network  

Science Journals Connector (OSTI)

Maximisation of network lifetime is the issue of prime importance in Wireless Sensor Network (WSN). An energy-efficient clustering algorithm with load balancing can achieve this challenging goal. We propose Density-based Dynamic Clustering (DDC) algorithm for clustering and cluster head election mechanism with the use of independence set. Furthermore, a distributed algorithm (DISD - Distributed Independence Set Discovery) is designed for cluster head election in O(1) complexity per sensor node. In this, we dynamically find an optimal sensor cover to dominate maximum sensors within a cluster, therefore forming an InDependence Set (IDS). Only the members of IDS are allowed to participate in the cluster head selection (rotation), thereby establishing load balancing and energy management. Our model is designed for dual modes: low- and high-traffic session. According to the flow of packets, the sleep management technique is modified. Network simulator is used for the simulation of our proposed algorithms.

Buddha Singh; D.K. Lobiyal

2012-01-01T23:59:59.000Z

140

ESS 2012 Peer Review - National Assessment of Energy Storage for Grid Balancing and Arbitrage - Michael Kintner-Meyer, PNNL  

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

Assessment of Energy Storage Assessment of Energy Storage for Grid Balancing and Arbitrage October 2, 2012 1 Authors: M. Kintner-Meyer, P. Balducci, W. Colella, M. Elizondo, C. Jin, T. Nguyen, V. Viswanathan, Y.Zhang Pacific Northwest National Laboratory MICHAEL KINTNER-MEYER Energy Storage Analytics Agenda October 2, 2012 2 National Assessment of Energy Storage Considering Regional Differences October 2, 2012 3 PHASE I WECC PHASE II EIC + ERCOT Objectives: Determine: future balancing requirements needed by 2020 to accommodate assumed 20% RPS, market size for storage and respective cost targets for balancing and energy arbitrage by regions most cost-effective technologies to meet add'l balancing requirements. Value: Provides plausible market potential estimates of energy storage for the

Note: This page contains sample records for the topic "nems balances energy" 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

Analysis of Spurious Surface Temperature at the AtmosphereLand Interface and a New Method to Solve the Surface Energy Balance Equation  

Science Journals Connector (OSTI)

Solving the surface energy balance equation is the most important task when combining an atmospheric model and a land surface model. However, while the surface energy balance equation determines the interface temperature between the models, this ...

Hirofumi Tomita

2009-06-01T23:59:59.000Z

142

Dietary Energy Balance Modulation of Kras- and Ink4a/Arf+/?-Driven Pancreatic Cancer: The Role of Insulin-like Growth Factor-I  

Science Journals Connector (OSTI)

...research-article Research Articles Dietary Energy Balance Modulation of Kras...the hypothesis that dietary energy balance modulation impacts pancreatic...States: why we need to stem the tide today. 2012[cited 2013...Demark-Wahnefried W, et alObesity, energy balance, and cancer: new opportunities...

Laura M. Lashinger; Lauren M. Harrison; Audrey J. Rasmussen; Craig D. Logsdon; Susan M. Fischer; Mark J. McArthur; and Stephen D. Hursting

2013-10-01T23:59:59.000Z

143

Multiple solutions and numerical analysis to the dynamic and stationary models coupling a delayed energy balance model involving latent heat and discontinuous albedo with a deep ocean  

Science Journals Connector (OSTI)

...variability of an energy-balance model with...instability in an energy balance model. Clim...differential equations. New York, NY: Springer...of some diffusive energy balance climate models...pp. 101-156. New York, NY: Academic Press...

2014-01-01T23:59:59.000Z

144

The fluctuation energy balance in non-suspended fluid-mediated particle transport  

E-Print Network [OSTI]

Here we compare two extreme regimes of non-suspended fluid-mediated particle transport, transport in light and heavy fluids ("saltation" and "bedload", respectively), regarding their particle fluctuation energy balance. From direct numerical simulations, we surprisingly find that the ratio between collisional and fluid drag dissipation of fluctuation energy is significantly larger in saltation than in bedload, even though the contribution of interparticle collisions to transport of momentum and energy is much smaller in saltation due to the low concentration of particles in the transport layer. We conclude that the much higher frequency of high-energy particle-bed impacts ("splash") in saltation is the cause for this counter-intuitive behavior. Moreover, from a comparison of these simulations to Particle Tracking Velocimetry measurements which we performed in a wind tunnel under steady transport of fine and coarse sand, we find that turbulent fluctuations of the flow produce particle fluctuation energy at an ...

Phtz, Thomas; Ho, Tuan-Duc; Valance, Alexandre; Kok, Jasper F

2015-01-01T23:59:59.000Z

145

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

146

Optimization of Electric Energy in Three-Phase Induction Motor by Balancing of Torque and Flux Dependent Losses  

Science Journals Connector (OSTI)

This paper presents the solution of the energy optimal control of three-phase induction motor (IM) by balancing of torque and flux dependent losses. First, we build formula of total losses of motor (iron losse...

Nguyen Thanh Hung; Nguyen Chi Thien

2014-01-01T23:59:59.000Z

147

Climate Studies with a Multi-Layer Energy Balance Model. Part I: Model Description and Sensitivity to the Solar Constant  

Science Journals Connector (OSTI)

A nine-layer, zonally averaged, steady-state model has been developed for use in climate sensitivity studies. The model is based upon thermal energy balance and includes recently developed accurate treatment of radiative transfer, parameterized ...

Li Peng; Ming-Dah Chou; Albert Arking

1982-12-01T23:59:59.000Z

148

Disruption of Cellular Energy Balance by Suramin in Intact Human Prostatic Carcinoma Cells, a Likely Antiproliferative Mechanism  

Science Journals Connector (OSTI)

...transforming growth factor Y(44). Thus, inhibition of tetrazolium conversion was not competitively...serum, multiple growth factors, or calcium. The rapid...suramin of tetrazolium conversion in intact DU 145 cells...disruption of cellular energy balance or respiration...

Randall Rago; Jacque Mitchen; Ann-Lii Cheng; Terry Oberley; and George Wilding

1991-12-15T23:59:59.000Z

149

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

E-Print Network [OSTI]

to the Federal Trade Commission Energy Labeling, ProjectTrade Commission (FTC) EnergyGuide comparison label and the ENERGYFederal Trade Commission (FTC). 2006. Appliance Energy Data.

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

2007-01-01T23:59:59.000Z

150

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

E-Print Network [OSTI]

E Summer Study on Energy Efficiency in Buildings. WashingtonE Summer Study on Energy Efficiency in Buildings. WashingtonStudy on Energy Efficiency in Buildings, American Council

Harris, Jeff

2008-01-01T23:59:59.000Z

151

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

E-Print Network [OSTI]

step to help us manage energy consumption in response toenergy consumption rather than energy efficiency can help ushistory of the U.S. consumption of energy, water, beverage

Harris, Jeff

2008-01-01T23:59:59.000Z

152

FY 2008 & FY 2009 Annual Uncosted Balances Report | Department of Energy  

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

Uncosted Balances Reports » FY 2008 & FY 2009 Uncosted Balances Reports » FY 2008 & FY 2009 Annual Uncosted Balances Report FY 2008 & FY 2009 Annual Uncosted Balances Report This report presents a combined presentation and analysis of the Department's uncosted balances for FY 2008 and FY 2009. In FY 2009, the American Recovery and Reinvestment Act of 2009 (Recovery Act) provided the Department an additional $36.7 billion of funding. The FY 2009 uncosted balances associated with Recovery Act funding are separately presented but are not included in the additional analysis of uncosted balances in this report. FY 2008-2009 Report on Uncosted Balances More Documents & Publications FY 2010 Annual Uncosted Balances Report FY 2011 Annual Uncosted Balances Report FY 2012 Annual Uncosted Balances

153

ARM Energy Balance Bowen Ratio (EBBR) station: surf. heat flux and related data, 30-min  

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

The Energy Balance Bowen Ratio (EBBR) system produces 30-min estimates of the vertical fluxes of sensible and latent heat at the local surface. Flux estimates are calculated from observations of net radiation, soil surface heat flux, and the vertical gradients of temperature and relative humidity. Meteorological data collected by the EBBR are used to calculate bulk aerodynamic fluxes, which are used in the Bulk Aerodynamic Technique (BA) EBBR value-added product (VAP) to replace sunrise and sunset spikes in the flux data. A unique aspect of the system is the automatic exchange mechanism (AEM), which helps to reduce errors from instrument offset drift.

Cook, David

154

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

E-Print Network [OSTI]

step to help us manage energy consumption in response toenergy consumption rather than energy efficiency can help usEnergy Consumption, Rating Score, and House Size. Washington D.C. : U.S.

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

2007-01-01T23:59:59.000Z

155

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

E-Print Network [OSTI]

of steel, or M J of energy per dollar of GDP. The currentCommercial sector energy per dollar of GDP declinedmeasured by energy use per unit of GDP, is an intensive

Harris, Jeff

2008-01-01T23:59:59.000Z

156

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

E-Print Network [OSTI]

ton of steel, or MJ of energy per dollar of GDP. The current2 Commercial sector energy per dollar of GDP declinedmeasured by energy use per unit of GDP, is an intensive

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

2007-01-01T23:59:59.000Z

157

Secure process migration in cloud for load balancing and energy efficiency  

Science Journals Connector (OSTI)

Cloud computing is the latest trend in the world of computers. Virtualisation is the building block for cloud. In IAAS, cloud resources are allocated to the user in the form of virtual machines (VMs). VMs generally have lower resources and have a good chance of getting overloaded. Overload can happen in terms of CPU, memory or IO. All these three resources are divided among the different VMs running on a physical machine. So even if a physical machine is not overloaded, a VM running on it may get overloaded. Considering the nature of the loads, this paper proposes a load balancing solution on basis of CPU, memory and IO using process migration between the VMs of the cloud. The approach balances the load in such a way that the use of energy efficiency techniques like DVFS can be maximised. Due to the multi-tenant model of the cloud, a lot of new security issues have come up. Process migration also presents new security issues. This paper identifies such security issues and proposes solution to them. A proof of concept is provided which demonstrates the feasibility of the approach by proving that improved response times can be achieved even at lower energy consumptions.

Rahul Bhalerao; Madhur Bajpai; Avinash Jadhao; Shashikant Zalte; Jibi Abraham

2014-01-01T23:59:59.000Z

158

EIA - Assumptions to the Annual Energy Outlook 2008 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2008 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids supply and demand curves (1 curve per year; 2008-2030; approximated, isoelastic fit to previous NEMS results). These quantities are not modeled directly in NEMS. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2008 with IEO2007 and the STEO some functionality was removed from IEM while a new algorithm was implemented. Based on the difference between U.S. total petroleum liquids production (consumption) and the expected U.S. total liquids production (consumption) at the current WTI price, curves for global petroleum liquids consumption (production) were adjusted for each year. According to previous operations, a new WTI price path was generated. An exogenous oil supply module, Generate World Oil Balances (GWOB), was also used in IEM to provide annual regional (country) level production detail for conventional and unconventional liquids.

159

Recycling Guide: Reduce, Reuse, Recycle Recycling Information Call 301-496-7990 or visit the NEMS Website at http://www.nems.nih.gov  

E-Print Network [OSTI]

Recycling Guide: Reduce, Reuse, Recycle Recycling Information ­ Call 301-496-7990 or visit the NEMS in COMMINGLED bin Rinse food/beverage containers before recycling No Pyrex or Styrofoam Printer and Copier Toner Cartridges in TONER CARTRIDGE bin Recycle packaging material in appropriate bin NIH charities

Baker, Chris I.

160

The fluctuation energy balance in non-suspended fluid-mediated particle transport  

E-Print Network [OSTI]

Here we compare two extreme regimes of non-suspended fluid-mediated particle transport, transport in light and heavy fluids ("saltation" and "bedload", respectively), regarding their particle fluctuation energy balance. From direct numerical simulations, we surprisingly find that the ratio between collisional and fluid drag dissipation of fluctuation energy is significantly larger in saltation than in bedload, even though the contribution of interparticle collisions to transport of momentum and energy is much smaller in saltation due to the low concentration of particles in the transport layer. We conclude that the much higher frequency of high-energy particle-bed impacts ("splash") in saltation is the cause for this counter-intuitive behavior. Moreover, from a comparison of these simulations to Particle Tracking Velocimetry measurements which we performed in a wind tunnel under steady transport of fine and coarse sand, we find that turbulent fluctuations of the flow produce particle fluctuation energy at an unexpectedly high rate in saltation even under conditions for which the effects of turbulence are usually believed to be small.

Thomas Phtz; Orencio Durn; Tuan-Duc Ho; Alexandre Valance; Jasper F. Kok

2015-01-16T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. XX, NO. X, DECEMBER 2007 1 Spatial Model for Energy Burden Balancing and  

E-Print Network [OSTI]

by multi-hop relaying, it is critical to provide mechanisms to conserve energy due to nodes' limitedIEEE TRANSACTIONS ON INFORMATION THEORY, VOL. XX, NO. X, DECEMBER 2007 1 Spatial Model for Energy Burden Balancing and Data Fusion in Sensor Networks Detecting Bursty Events Seung Jun Baek and Gustavo de

de Veciana, Gustavo

162

Energy Cascades and Loss of Balance in a Re-entrant Channel Forced by Wind Stress and Buoyancy Fluxes  

Science Journals Connector (OSTI)

A large fraction of the kinetic energy in the ocean is stored in the quasi-geostrophic eddy field. This balanced eddy field is expected, according to geostrophic turbulence theory, to transfer energy to larger scales. In order for the general ...

Roy Barkan; Kraig B. Winters; Stefan G. Llewellyn Smith

163

Two-Layer Baroclinic Eddy Heat Fluxes: Zonal Flows and Energy Balance ANDREW F. THOMPSON AND WILLIAM R. YOUNG  

E-Print Network [OSTI]

Two-Layer Baroclinic Eddy Heat Fluxes: Zonal Flows and Energy Balance ANDREW F. THOMPSON of these drag- less heat-flux parameterizations relies on the ability of to direct energy into zonal flows, California (Manuscript received 27 September 2006, in final form 13 December 2006) ABSTRACT The eddy heat

Young, William R.

164

Mass, energy, and exergy balance analysis of chemical looping with oxygen uncoupling (CLOU) process  

Science Journals Connector (OSTI)

Abstract Chemical looping with oxygen uncoupling (CLOU) is a promising concept for efficient combustion of solid fuels with an inherent capture of the greenhouse gas CO 2 . This paper presents a CLOU process scheme with stoichiometric mass, energy, and exergy balances. A CLOU reactor system using medium volatile bituminous coal as fuel and silica-supported CuO as an oxygen carrier is analyzed. The analysis includes the estimation of various design and operational parameters, thermal considerations, and evaluation of the overall performance. The operation of a reactor system of two interacting circulating fluidized beds (CFBs) is greatly influenced by the hydrodynamics. For the CuO oxygen carrier, the hydrodynamic operating range appeared feasible considering the maximum solid circulation rates in current CFB boilers. Depending upon the reactor temperatures, oxygen carrier inventories of 400680kg/MW in the system were found necessary for stoichiometric combustion of the fuel. The temperature difference between the reactors should not exceed 50C, as otherwise, problems may arise with the heat balance. Exergetic efficiencies in the range of 6370% were obtained for different combinations of relevant design parameters. It is evident that the possible operating conditions in the system are closely related to the properties of the chosen oxygen carrier. However, the calculation procedure and design criteria presented here are applicable to any oxygen carrier to be used in the process.

Petteri Peltola; Tero Tynjl; Jouni Ritvanen; Timo Hyppnen

2014-01-01T23:59:59.000Z

165

Application of multi-subband self-consistent energy balance method to terahertz quantum cascade lasers  

Science Journals Connector (OSTI)

We present simulation results for two resonant phonon terahertz quantum cascade lasers using a self-consistent energy balance model, which determines the electron temperature for each conduction subband. These temperatures, along with the electron populations and scattering rates, are determined in a manner similar to previously published models. However, the presented model is able to converge through the use of an algorithm that appears to be robust. The predicted individual subband electron temperatures, population densities and scattering rates are compared to previously published Monte Carlo and experimental studies for both lasers, where subband temperature variations were observed. These quantities were chosen since they provided the only comparison to modeling results from other studies.

Philip Slingerland; Christopher Baird; Robert H Giles

2012-01-01T23:59:59.000Z

166

Association of Energy Intake and Energy Balance with Postmenopausal Breast Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial  

Science Journals Connector (OSTI)

...risk of women with a favorable energy balance. Our findings are compatible...nonsignificant, associations between energy intake and breast cancer (22, 23). In a study from Norway (22), women in the highest quartile of energy intake had an increased breast...

Shih-Chen Chang; Regina G. Ziegler; Barbara Dunn; Rachael Stolzenberg-Solomon; James V. Lacey, Jr.; Wen-Yi Huang; Arthur Schatzkin; Douglas Reding; Robert N. Hoover; Patricia Hartge; and Michael F. Leitzmann

2006-02-01T23:59:59.000Z

167

Association of Energy Intake and Energy Balance with Postmenopausal Breast Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial  

Science Journals Connector (OSTI)

...XO, et al. Energy balance and breast...cancer in western New York. Am J Epidemiol...Implication of total energy intake for epidemiologic...Epidemiology. New York (NY): Oxford...Koh YO. A new predictive equation for resting energy expenditure in...

Shih-Chen Chang; Regina G. Ziegler; Barbara Dunn; Rachael Stolzenberg-Solomon; James V. Lacey, Jr.; Wen-Yi Huang; Arthur Schatzkin; Douglas Reding; Robert N. Hoover; Patricia Hartge; and Michael F. Leitzmann

2006-02-01T23:59:59.000Z

168

Dietary Energy Balance Modulation of Kras- and Ink4a/Arf+/?-Driven Pancreatic Cancer: The Role of Insulin-like Growth Factor-I  

Science Journals Connector (OSTI)

...factor and intracellular energy status signaling. We hypothesized...is responsive to dietary energy balance modulation in an...of body mass index among US adults, 1999-2010...Demark-Wahnefried W, et alObesity, energy balance, and cancer...

Laura M. Lashinger; Lauren M. Harrison; Audrey J. Rasmussen; Craig D. Logsdon; Susan M. Fischer; Mark J. McArthur; and Stephen D. Hursting

2013-10-01T23:59:59.000Z

169

Analysis & Projections - U.S. Energy Information Administration...  

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

of NEMS that project energy consumption for marketed energy sources plus distributed solar and geothermal energy. Both the RDM and CDM include projections of energy...

170

Workshop on Opportunities for Magnetism in MEMS/NEMS, April 16-17, 2010  

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

Opportunities for Magnetism in MEMS/NEMS Opportunities for Magnetism in MEMS/NEMS Argonne National Laboratory - April 16-17, 2010 Sponsored by NSF, NIST and Argonne National Laboratory Friday, April 16 13:00 Welcome and Introduction Chair: John Moreland 13:10 Pritiraj Mohanty Boston University "Study of Spin Dynamics using Nanomechanics" 13:50 T. Mitch Wallis NIST, Boulder "Measurement of the Einstein-de Haas Effect with a Microcantilever" 14:30 Albrecht Jander Oregon State University "Application of Torques to Nanostructures using Ferromagnetic Resonance" 15:10 Coffee Break Chair: Dennis Greywall 15:30 Rassul Karabalin Caltech "Next-Generation NEMS Functionality Enable by Advances in Novel Materials"

171

Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2009 Balance Sheet Audit, OAS-FS-12-08  

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

Department of Energy's Isotope Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2009 Balance Sheet OAS-FS-12-08 March 2012 ISOTOPE DEVELOPMENT AND PRODUCTION FOR RESEARCH AND APPLICATIONS PROGRAM Fiscal Year 2009 Annual Report and Balance Sheet September 30, 2009 i UNITED STATES DEPARTMENT OF ENERGY ISOTOPE DEVELOPMENT AND PRODUCTION FOR RESEARCH AND APPLICATIONS PROGRAM Fiscal Year 2009 Annual Report and Balance Sheet Table of Contents Page Management's Discussion and Analysis 1 Isotope Program Overview 2 Isotope Program Funding 4 Isotope Program Performance 5 Financial Performance 6 Management Challenges and Significant Issues 7 Balance Sheet Limitations 7

172

European Journal of Cancer Prevention, vol.8, 1999, Corpet & Gerber, Energy balance and cancer 77 European Journal of Cancer Prevention 1999, 8, 77-89 Author's version  

E-Print Network [OSTI]

European Journal of Cancer Prevention, vol.8, 1999, Corpet & Gerber, Energy balance and cancer 77 European Journal of Cancer Prevention 1999, 8, 77-89 Author's version REVIEW Energy balance and cancers M overweight, have been recognized as risk factors for the development of cancers. Human epidemiological

Boyer, Edmond

173

Multiple solutions and numerical analysis to the dynamic and stationary models coupling a delayed energy balance model involving latent heat and discontinuous albedo with a deep ocean  

Science Journals Connector (OSTI)

...6. Funding statement The research of J.I.D. and L.T...2014 Parameter estimation for energy balance models with memory...Diaz, and II Vrabie. 2001 An abstract approximate controllability...analysis of some diffusive energy balance climate models. Mathematics...

2014-01-01T23:59:59.000Z

174

Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use  

E-Print Network [OSTI]

to the difference between the total energy entering and leaving the system. That is, CV entering leaving air cond sol occ E C H E E E Q Q Q Q Q E E ? ? ? ? ? ? ? ? ? ? (1) where Qair, Qcond, Qsol, Qocc, and QE are building heat load components from air... is defined as (Shao, 2006): BL E C H E C H air cond sol occ E Q E E fE E E Q Q Q Q ? ? ? ? ? ? ? ? ? ? ? (2) where EE is the metered whole-building non-cooling electricity use. The multiplicative factor f represents a fraction of EE which...

Masuda, H.; Claridge, D.

2012-01-01T23:59:59.000Z

175

Mass, energy and material balances of SRF production process. Part 1: SRF produced from commercial and industrial waste  

Science Journals Connector (OSTI)

Abstract This paper presents the mass, energy and material balances of a solid recovered fuel (SRF) production process. The SRF is produced from commercial and industrial waste (C&IW) through mechanical treatment (MT). In this work various streams of material produced in SRF production process are analyzed for their proximate and ultimate analysis. Based on this analysis and composition of process streams their mass, energy and material balances are established for SRF production process. Here mass balance describes the overall mass flow of input waste material in the various output streams, whereas material balance describes the mass flow of components of input waste stream (such as paper and cardboard, wood, plastic (soft), plastic (hard), textile and rubber) in the various output streams of SRF production process. A commercial scale experimental campaign was conducted on an MT waste sorting plant to produce SRF from C&IW. All the process streams (input and output) produced in this MT plant were sampled and treated according to the CEN standard methods for SRF: EN 15442 and EN 15443. The results from the mass balance of SRF production process showed that of the total input C&IW material to MT waste sorting plant, 62% was recovered in the form of SRF, 4% as ferrous metal, 1% as non-ferrous metal and 21% was sorted out as reject material, 11.6% as fine fraction, and 0.4% as heavy fraction. The energy flow balance in various process streams of this SRF production process showed that of the total input energy content of C&IW to MT plant, 75% energy was recovered in the form of SRF, 20% belonged to the reject material stream and rest 5% belonged with the streams of fine fraction and heavy fraction. In the material balances, mass fractions of plastic (soft), plastic (hard), paper and cardboard and wood recovered in the SRF stream were 88%, 70%, 72% and 60% respectively of their input masses to MT plant. A high mass fraction of plastic (PVC), rubber material and non-combustibles (such as stone/rock and glass particles), was found in the reject material stream.

Muhammad Nasrullah; Pasi Vainikka; Janne Hannula; Markku Hurme; Janne Krki

2014-01-01T23:59:59.000Z

176

Design of Refractory Linings for Balanced Energy Efficiency, Uptime, and Capacity in Lime Kilns  

SciTech Connect (OSTI)

The rotary kilns used by the pulp and paper industry to regenerate lime in the Kraft process are very energy intensive. Throughout the 90 s, in response to increasing fuel prices, the industry used back up insulation in conjunction with the high alumina brick used to line the burning zones of their kilns. While this improved energy efficiency, the practice of installing insulating brick behind the working lining increased the inner wall temperatures. In the worst case, due to the increased temperatures, rapid brick failures occurred causing unscheduled outages and expensive repairs. Despite these issues, for the most part, the industry continued to use insulating refractory linings in that the energy savings were large enough to offset any increase in the cost of maintaining the refractory lining. Due to the dramatic decline in the price of natural gas in some areas combined with mounting pressures to increasing production of existing assets, over the last decade, many mills are focusing more on increasing the uptime of their kilns as opposed to energy savings. To this end, a growing number of mills are using basic (magnesia based) brick instead of high alumina brick to line the burning zone of the kiln since the lime mud does not react with these bricks at the operating temperatures of the burning zone of the kiln. In the extreme case, a few mills have chosen to install basic brick in the front end of the kiln running a length equivalent to 10 diameters. While the use of basic brick can increase the uptime of the kiln and reduce the cost to maintain the refractory lining, it does dramatically increase the heat losses resulting from the increased operating temperatures of the shell. Also, over long periods of time operating at these high temperatures, damage can occur in the shell. There are tradeoffs between energy efficiency, capacity and uptime. When fuel prices are very high, it makes sense to insulate the lining. When fuel prices are lower, trading some thermal efficiency for increased uptime and capacity seems reasonable. This paper considers a number of refractory linings in an effort to develop optimized operating strategies that balance these factors. In addition to considering a range of refractory materials, the paper examines other factors such as the chain area, discharge dams and other operating variables that impact the service life of the refractory lining. The paper provides recommendations that will help mill personnel develop a strategy to select a refractory lining that is optimized for their specific situation.

Gorog, John Peter [ORNL; Hemrick, James Gordon [ORNL; Walker, Harold [Refratechnik North America, Inc.; Leary, William R [ORNL; Ellis, Murray [Australian Paper, Co.

2014-01-01T23:59:59.000Z

177

Large and small-scale structures and the dust energy balance problem in spiral galaxies  

E-Print Network [OSTI]

The interstellar dust content in galaxies can be traced in extinction at optical wavelengths, or in emission in the far-infrared. Several studies have found that radiative transfer models that successfully explain the optical extinction in edge-on spiral galaxies generally underestimate the observed FIR/submm fluxes by a factor of about three. In order to investigate this so-called dust energy balance problem, we use two Milky Way-like galaxies produced by high-resolution hydrodynamical simulations. We create mock optical edge-on views of these simulated galaxies (using the radiative transfer code SKIRT), and we then fit the parameters of a basic spiral galaxy model to these images (using the fitting code FitSKIRT). The basic model includes smooth axisymmetric distributions along a S\\'ersic bulge and exponential disc for the stars, and a second exponential disc for the dust. We find that the dust mass recovered by the fitted models is about three times smaller than the known dust mass of the hydrodynamical in...

Saftly, W; De Geyter, G; Camps, P; Renaud, F; Guedes, J; De Looze, I

2015-01-01T23:59:59.000Z

178

Mass, energy and material balances of SRF production process. Part 2: SRF produced from construction and demolition waste  

Science Journals Connector (OSTI)

Abstract In this work, the fraction of construction and demolition waste (C&D waste) complicated and economically not feasible to sort out for recycling purposes is used to produce solid recovered fuel (SRF) through mechanical treatment (MT). The paper presents the mass, energy and material balances of this SRF production process. All the process streams (input and output) produced in MT waste sorting plant to produce SRF from C&D waste are sampled and treated according to CEN standard methods for SRF. Proximate and ultimate analysis of these streams is performed and their composition is determined. Based on this analysis and composition of process streams their mass, energy and material balances are established for SRF production process. By mass balance means the overall mass flow of input waste material stream in the various output streams and material balances mean the mass flow of components of input waste material stream (such as paper and cardboard, wood, plastic (soft), plastic (hard), textile and rubber) in the various output streams of SRF production process. The results from mass balance of SRF production process showed that of the total input C&D waste material to MT waste sorting plant, 44% was recovered in the form of SRF, 5% as ferrous metal, 1% as non-ferrous metal, and 28% was sorted out as fine fraction, 18% as reject material and 4% as heavy fraction. The energy balance of this SRF production process showed that of the total input energy content of C&D waste material to MT waste sorting plant, 74% was recovered in the form of SRF, 16% belonged to the reject material and rest 10% belonged to the streams of fine fraction and heavy fraction. From the material balances of this process, mass fractions of plastic (soft), paper and cardboard, wood and plastic (hard) recovered in the SRF stream were 84%, 82%, 72% and 68% respectively of their input masses to MT plant. A high mass fraction of plastic (PVC) and rubber material was found in the reject material stream. Streams of heavy fraction and fine fraction mainly contained non-combustible material (such as stone/rock, sand particles and gypsum material).

Muhammad Nasrullah; Pasi Vainikka; Janne Hannula; Markku Hurme; Janne Krki

2014-01-01T23:59:59.000Z

179

Experiences on the Implementation of the 'Energy Balance' Methodology as a Data Quality Control Tool: Application to the Building Energy Consumption of a Large University Campus  

E-Print Network [OSTI]

EXPERIENCES ON THE IMPLEMENTATION OF THE ENERGY BALANCE METHODOLOGY AS A DATA QUALITY CONTROL TOOL: APPLICATION TO THE BUILDING ENERGY CONSUMPTION OF A LARGE UNIVERSITY CAMPUS Juan-Carlos Baltazar 1 , Ph.D. Research Associate Daniel... allow the engineers to identify and assess commissioning opportunities confidently. This paper presents the application of an innovative data screening methodology as a data quality control tool for energy consumption data. The methodology has...

Baltazar-Cervantes, J. C.; Sakurai, Y.; Masuda, H.; Feinauer, D.; Liu, J.; Ji, J.; Claridge, D. E.; Deng, S.; Bruner, H.

2007-01-01T23:59:59.000Z

180

Robust energy transfer mechanism and critically balanced turbulence via non-resonant triads in nonlinear wave systems  

E-Print Network [OSTI]

A robust energy transfer mechanism is found in nonlinear wave systems, which favours transfers towards modes interacting via non-resonant triads, applicable in meteorology, nonlinear optics and plasma wave turbulence. Transfer efficiency is maximal when the frequency mismatch of the non-resonant triad balances the system's nonlinear frequency: at intermediate levels of oscillation amplitudes an instability is triggered that explores unstable manifolds of periodic orbits, so turbulent cascades are most efficient at intermediate nonlinearity. Numerical simulations confirm analytical predictions.

Miguel D. Bustamante; Brenda Quinn

2013-09-02T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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
182

Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) | Open Energy Information  

Open Energy Info (EERE)

Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: The Ex Ante Carbon-balance Tool Agency/Company /Organization: Food and Agriculture Organization of the United Nations Partner: Policy and Programme Development Support Division (TCS), Investment Centre Division (TCI), and Agricultural Development Economics Division (ESA) Sector: Climate, Land Focus Area: Agriculture, Forestry Topics: Co-benefits assessment, Finance, GHG inventory, Resource assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Complexity/Ease of Use: Moderate Website: www.fao.org/tc/tcs/exact/en/

183

Review of Energy Balances and Emissions Associated with Biomass-Based Transport Fuels Relevant to the United Kingdom Context  

Science Journals Connector (OSTI)

A numerical evaluation of the energy available from biomass-derived transport fuels, including biodiesel, bioethanol, and biomethane has been undertaken based on the available literature. ... Biomethane from the anaerobic digestion of crops was found to have a more favorable energy balance for the production of transport fuel than biodiesel or bioethanol (maximum 237?011 MJ/ha compared to 24?185 and 77?264 MJ/ha, respectively). ... To make the most efficient use of the limited land available for production of biofuels, it is recommended that further development of gaseous biofuels, such as biomethane and biohydrogen, are encouraged. ...

Tim Patterson; Richard Dinsdale; Sandra Esteves

2008-08-20T23:59:59.000Z

184

Abstract 2884: ER stress and autophagy induced in pro-inflammatory mast cells exposed to stimuli associated with a positive energy balance.  

Science Journals Connector (OSTI)

...Association for Cancer Research April 15, 2010...meeting-abstract Prevention Research Poster Presentations - Proffered Abstracts Poster Presentations...Abstract 966: Dietary energy balance modulates...Center Science Park Research Division, Smithville...

Januaria M. Balajadia; Lori Shimoda; William Greineisen; and Helen Turner

2013-04-15T23:59:59.000Z

185

Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans  

E-Print Network [OSTI]

customer needs. Renewable energy cost reductions, combinedthe likely cost of renewable energy in the longer term.Renewable Energy Credits (RECs)38 5.2 Geothermal Cost

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

186

Dietary Energy Balance Modulation of Kras- and Ink4a/Arf+/?-Driven Pancreatic Cancer: The Role of Insulin-like Growth Factor-I  

Science Journals Connector (OSTI)

...provide 30% less total energy and 100% of all vitamins...approximately 30% more total energy, with 100% of vitamins...mice/diet) of dietary energy balance modulation, or...Sinai School of Medicine, New York, NY). Wild-type FVB...

Laura M. Lashinger; Lauren M. Harrison; Audrey J. Rasmussen; Craig D. Logsdon; Susan M. Fischer; Mark J. McArthur; and Stephen D. Hursting

2013-10-01T23:59:59.000Z

187

NEM modication prevents high-anity ATP binding to the rst nucleotide binding fold of the sulphonylurea receptor, SUR1  

E-Print Network [OSTI]

NEM modi¢cation prevents high-a¤nity ATP binding to the ¢rst nucleotide binding fold, UK Received 7 July 1999; received in revised form 11 August 1999 Abstract Pancreatic LL-cell ATP WWM 8-azido- [KK-32 P]ATP or 8-azido-[QQ-32 P]ATP was inhibited by NEM with Ki of 1.8 WWM and 2.4 WWM

Tucker, Stephen J.

188

The Effects of Great Plains Irrigation on the Surface Energy Balance, Regional Circulation, and Precipitation  

E-Print Network [OSTI]

the net radiation at the surface, channeling that energy into additional latent heat flux, which increases convective available potential energy and provides downstream convective systems with additional energy and moisture. Most noteworthy in this study...

Huber, David B.; Brunsell, Nathaniel A.; Mechem, David B.

2014-05-05T23:59:59.000Z

189

NV Energy Solar Integration Study: Cycling and Movements of Conventional Generators for Balancing Services  

SciTech Connect (OSTI)

With an increasing penetration level of solar power in the southern Nevada system, the impact of solar on system operations needs to be carefully studied from various perspectives. Qualitatively, it is expected that the balancing requirements to compensate for solar power variability will be larger in magnitude; meanwhile, generators providing load following and regulation services will be moved up or down more frequently. One of the most important tasks is to quantitatively evaluate the cycling and movements of conventional generators with solar power at different penetration levels. This study is focused on developing effective methodologies for this goal and providing a basis for evaluating the wear and tear of the conventional generators

Diao, Ruisheng; Lu, Shuai; Etingov, Pavel V.; Ma, Jian; Makarov, Yuri V.; Guo, Xinxin

2011-07-01T23:59:59.000Z

190

Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans  

E-Print Network [OSTI]

mitigation relative to expected cost may therefore be expected to favor renewable over conventional energy

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

191

Management Letter on the Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2009 Balance Sheet Audit, OAS-FS-12-09  

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

09 Balance 09 Balance Sheet Audit OAS-FS-12-09 June 2012 January 30, 2012 Mr. Gregory Friedman, Inspector General Dr. Jehanne Gillo, Director, Facilities and Project Management Division, Office of Nuclear Physics U.S. Department of Energy Washington, DC 20585 Dear Mr. Friedman and Dr. Gillo: We have audited the balance sheet of the United States Department of Energy's (Department or DOE) Isotope Development and Production for Research and Applications Program (the Program) (a component of the Department) as of September 30, 2009, and have issued our report thereon dated January 30, 2012. In planning and performing our audit of the balance sheet, in accordance with auditing standards generally accepted in the United States of America, we considered the Program's internal control over financial

192

EIA - The National Energy Modeling System: An Overview 2003-Overview of  

Gasoline and Diesel Fuel Update (EIA)

Overview of NEMS Overview of NEMS The National Energy Modeling System: An Overview 2003 Overview of NEMS NEMS represents domestic energy markets by explicitly representing the economic decision making involved in the production, conversion, and consumption of energy products. Where possible, NEMS includes explicit representation of energy technologies and their characteristics. Summary of NEMS Detail Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Figure 1. Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. Figure 2. National Energy Modeling System. Need help, contact the National Energy Information Center at 202-586-8800. Since energy costs and availability and energy-consuming characteristics

193

Balancing the roles for conservation, coal, nuclear, and other energy systems  

SciTech Connect (OSTI)

The energy technology future of the United States is clouded by two major uncertainties: our future energy demand and the seriousness and urgency of the greenhouse effect and of other environmental, health, and safety problems. These uncertainties require a broad-based approach in meeting present energy needs. Any effort to match long-term energy needs mandates a multidisciplinary research and development effort to focus on end-use technologies.

Trivelpiece, A.W.

1990-01-01T23:59:59.000Z

194

Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans  

E-Print Network [OSTI]

thermal, solar PV, and landfill gas, while PGE initiallywave energy, solar, landfill gas, and MSW, but excluded each

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

195

Framework for Coupling Room Air Models to Heat Balance Model Load and Energy Calculations (RP-1222)  

E-Print Network [OSTI]

for Buildings and Thermal Systems, National Renewable Energy Laboratory, Golden, Colo., and Qingyan (Yan) Chen systems, estimating building energy use and predicting thermal comfort for buildings with buoyancy models with building energy and load calculations as an extension to the ASHRAE Toolkit for Building Load

Chen, Qingyan "Yan"

196

Abstract CN05-04: Energy balance within the community: What's new?  

Science Journals Connector (OSTI)

...absorptiometry), energy metabolism, exercise...and self-scored quality of life (SF-36...nutritional state, energy metabolism, exercise...health-related quality of life in unselected...absorptiometry), energy metabolism, exercise...and self-scored quality of life (SF-36...

Tim E. Byers

2010-01-01T23:59:59.000Z

197

A foetal energy balance equation based on maternal exercise and diet  

Science Journals Connector (OSTI)

...metabolic rate in energy metabolismJ.M...H.N TuckerIn Energy metabolism: tissue...corollariesNew York, NY:Raven19-60...processes3rd edn.New York, NY:Wiley...body composition. New York, NY:Springer...of in vivo human energy metabolism during...

2008-01-01T23:59:59.000Z

198

Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans  

E-Print Network [OSTI]

Energy Credits (RECs)38 5.2 Geothermal Costgeothermal, wave energy, solar, landfill gas, and MSW, but excluded each of these resources due to some combination of high capital costs,geothermal bids that have been submitted in recent renewable energy solicitations. If geothermal projects really are this cost-

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

199

The Energy Balance of Corn Ethanol: An Update. By Hosein Shapouri, James A. Duffield, and Michael Wang. U.S. Department of Agriculture, Office of the  

E-Print Network [OSTI]

#12;The Energy Balance of Corn Ethanol: An Update. By Hosein Shapouri, James A. Duffield estimated the net energy value (NEV) of corn ethanol. However, variations in data and assumptions used among variation and develops a more consistent estimate. We conclude that the NEV of corn ethanol has been rising

Laughlin, Robert B.

200

QuarterlyCouncilNorthwest Power and Conservation Council > Spring 2013 STRIKING A BALANCE BETWEEN ENERGY AND THE ENVIRONMENT IN THE COLUMBIA RIVER BASIN  

E-Print Network [OSTI]

of natural gas-fired generation, as well as an emphasis on energy efficiency and development of renewableQuarterlyCouncilNorthwest Power and Conservation Council > Spring 2013 STRIKING A BALANCE BETWEEN ENERGY AND THE ENVIRONMENT IN THE COLUMBIA RIVER BASIN In March, the Northwest Power and Conservation

Note: This page contains sample records for the topic "nems balances energy" 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

Creating balanced energy market structures: equal valuation of supply and demand side initiatives  

Science Journals Connector (OSTI)

Now in its fifth year, the Bordeaux Energy Colloquium was originally created to bring together the voices of various industry constituents to engage in a series of dialogues regarding the creation of a competitive energy marketplace. Each year, Colloquium members consider key variables within various contexts and evaluate their effect on the global transition trend from regulation to competition in energy markets. Fall-2005 Colloquium members agreed that the fundamental imbalance between how supply and demand options are valued is a key stumbling block in the proper functioning of energy markets. Working under the auspices of the Bordeaux Energy Colloquium, 2005 members created a call for action paper that attempts to identify important points of leverage that can be used to further unleash the potential of energy systems in favour of new lines of development.

Kimberly E. Samaha; Thomas L. Welch; John A. Anderson; Thomas R. Casten; Cody Graves

2007-01-01T23:59:59.000Z

202

Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit, OAS-FS-13-11  

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

Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit OAS-FS-13-11 February 2013 January 31, 2013 Mr. Gregory Friedman, Inspector General Dr. Jehanne Gillo, Director, Facilities and Project Management Division, Office of Nuclear Physics U.S. Department of Energy Washington, DC 20585 Dear Mr. Friedman and Dr. Gillo: We have audited the balance sheet of the United States Department of Energy's (Department or DOE) Isotope Development and Production for Research and Applications Program (the Program) (a component of the Department) as of September 30, 2010, and have issued our report thereon dated December 21, 2012. In planning and performing our audit of the balance sheet, in accordance with auditing standards

203

E-Print Network 3.0 - automatic spatially-adaptive balancing...  

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

balancing Page: << < 1 2 3 4 5 > >> 1 Automatic Spatially-Adaptive Balancing of Energy Terms for Image Segmentation Summary: Automatic Spatially-Adaptive Balancing of Energy Terms...

204

Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans  

E-Print Network [OSTI]

Lai, S. and J.C. Smith. 2004. Xcel Energy and the MinnesotaSouth- MN MN west (GRE) (Xcel) PSE Pacifi- PSCo PGE* AvistaPenetration (% capacity) MN, Xcel * (Brooks et al. 2003) MN,

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

205

Development of Data Quality Control Limits for Data Screening through the "Energy Balance" Method  

E-Print Network [OSTI]

over/underestimation in energy use and increase accuracy in further analysis. It allows engineers and administrators to make more confident and low-risk decisions. This paper proposes a methodology to construct statistical control limits for data...

Masuda, H.; Baltazar, J. C.; Ji, J.; Claridge, D.

206

Balancing Cost and Risk: The Treatment of Renewable Energy in Western Utility Resource Plans  

E-Print Network [OSTI]

Wind Energy with the BPA Power System: Preliminary Study. Prepared for the BPA Power Business Line. Hirst, E. and J.Integration Costs (left scale) CA BPA PJM WI (We) South- MN

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

207

Audit Report - Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit, OAS-FS-13-09  

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

Audits and Inspections Audits and Inspections Audit Report Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit OAS-FS-13-09 January 2013 MEMORANDUM FOR THE DIRECTOR, OFFICE OF SCIENCE FROM: Daniel M. Weeber Assistant Inspector General for Office of Inspector General SUBJECT: INFORMATION Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit The attached report presents the results of the independent certified public accountants' audit of the Department of Energy's Isotope Development and Production for Research and Applications Program's (Isotope Program) and 2009. The Office of Inspector General (OIG) engaged the independent public accounting firm of

208

Dynamics and energy balance of the Hadly circulation and the tropical precipitation zones: Significance of the distribution of evaporation  

SciTech Connect (OSTI)

A series of numerical experiments is performed using a general circulation model with an idealistic ocean-covered boundary condition. The meridional structure of the Hadley circulation system, which is a combined structure of the Hadley circulation and the tropical precipitation zone, is examined from the standpoints of the water vapor and the energy budgets. Although the prescribed SST distribution has a broad peak centered at the equator, the distribution of the precipitation has two peaks straddling the equator. The distribution of the evaporation rate is an important factor in the formation of this structure. The evaporation rate is smaller near the equator than in the subtropics because of its dependence upon the wind speed. If this dependence is removed, the latitudinal distribution of evaporation becomes flat and the precipitation concentrates at the equator to form a single band structure. Qualitatively similar results are obtained in experiments with an axisymmetric two-dimensional model without the effect of disturbances. The net supply of the moist static energy must balance with the divergence of the meridional transport of moist static energy. A small fractional change in the evaporation rate causes a large change in the net energy supply and thus results in a strong modification of the meridional structure of the system. A strong positive feedback between the strength of the Hadley circulation and the latitudinal concentration of the precipitation provides the high sensitivity of the Hadley circulation system to the distribution of the evaporation, which is the principal energy source of the system. A set of comparative experiments with different cumulus parameterization schemes is performed. It is shown that the difference in the vertical stratification significantly modifies the energy budget of the Hadley circulation system and causes a large difference in the distribution of precipitation. 27 refs., 21 figs.

Numaguti, A. (National Institute for Environmental Studies, Tsukuba, Ibaraki (Japan))

1993-07-01T23:59:59.000Z

209

Wet ethanol in HCCI engines with exhaust heat recovery to improve the energy balance of ethanol fuels  

Science Journals Connector (OSTI)

This study explores the use of wet ethanol as a fuel for HCCI engines while using exhaust heat recovery to provide the high input energy required for igniting wet ethanol. Experiments were conducted on a 4-cylinder Volkswagen engine modified for HCCI operation and retrofitted with an exhaust gas heat exchanger connected to one cylinder. Tested fuel blends ranged from 100% ethanol to 80% ethanol by volume, with the balance being water. These blends are directly formed in the process of ethanol production from biomass. Comprehensive data was collected for operating conditions ranging from intake pressures of 1.42.0bar and equivalence ratios from 0.25 to 0.55. The heat exchanger was used to preheat the intake air allowing HCCI combustion without electrical air heating. The results suggest that the best operating conditions for the HCCI engine and heat exchanger system in terms of high power output, low ringing, and low nitrogen oxide emissions occur with high intake pressures, high equivalence ratios, and highly delayed combustion timings. Removing the final 20% of water from ethanol is a major energy sink. The results of this study show that HCCI engines can use ethanol fuels with up to 20% water while maintaining favorable operating conditions. This can remove the need for the most energy-intensive portion of the water removal process.

Samveg Saxena; Silvan Schneider; Salvador Aceves; Robert Dibble

2012-01-01T23:59:59.000Z

210

Ethanol production in biorefineries using lignocellulosic feedstock GHG performance, energy balance and implications of life cycle calculation methodology  

Science Journals Connector (OSTI)

Abstract Co-production of high-value biobased products in biorefineries is a promising option for optimized utilization of biomass. Lignocellulosic materials such as agricultural and forest residues have been identified as attractive alternative feedstocks because of their high availability and low resource demand. This study assessed the greenhouse gas (GHG) performance and energy balance of ethanol co-production with biogas and electricity in biorefineries using straw and forest residues. Two calculation methods were used: Method I (ISO), which applied the international standard for life cycle assessment, and Method II, which applied the EU Renewable Energy Directive (RED) methodology. These methods differed in allocation procedure, functional unit and system boundaries. Analysis of the importance of significant methodological choices and critical parameters showed that the results varied depending on calculation method, with co-product handling and the inclusion of upstream impacts from residue harvesting explaining most of the differences. Important life cycle steps were process inputs in terms of enzymes and changes in soil organic carbon content due to removal of residues. Ethanol produced from forest residues generally gave lower GHG emissions than straw-based ethanol. The GHG savings for both feedstocks were 5184% relative to fossil fuel. Omission of upstream impacts from residue recovery in agriculture and forestry in the RED method means that it risks overlooking important environmental effects of residue reuse. Furthermore, the default allocation procedure used in the RED method (energy allocation) may need revision for biorefineries where multiple products with different characteristics are co-produced.

Hanna Karlsson; Pl Brjesson; Per-Anders Hansson; Serina Ahlgren

2014-01-01T23:59:59.000Z

211

INTRODUCTION Energy balance is a key mediator of individual survival and  

E-Print Network [OSTI]

additional energy as a result of the increased cost of foraging (Wiersma et al., 2005). However distances, hop on perches or sift through chaff to receive food (reviewed by Wiersma and Verhulst, 2005., 2007; Wiersma and Verhulst, 2005). Food intake and DEE are decreased when a fixed reward schedule

Demas, Greg

212

Energy and Material Balance of CO2 Capture from Ambient Air  

Science Journals Connector (OSTI)

Purely renewable systems have been considered (8); cost and intermittency are the dominant concerns of these systems. ... Third, because it is weakly coupled to existing energy infrastructure, air capture may offer stronger economies of scale and smaller adjustment costs than the more conventional mitigation technologies. ... and to mitigate climate change is studied. ...

Frank Zeman

2007-09-26T23:59:59.000Z

213

Biomass Power and Conventional Fossil Systems with and without CO2 Sequestration … Comparing the Energy Balance, Greenhouse Gas Emissions and Economics  

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

* NREL/TP-510-32575 * NREL/TP-510-32575 Biomass Power and Conventional Fossil Systems with and without CO 2 Sequestration - Comparing the Energy Balance, Greenhouse Gas Emissions and Economics Pamela L. Spath Margaret K. Mann National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 January 2004 * NREL/TP-510-32575 Biomass Power and Conventional Fossil Systems with and without CO 2 Sequestration - Comparing the Energy Balance, Greenhouse Gas Emissions and Economics Pamela L. Spath Margaret K. Mann Prepared under Task No. BB04.4010 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393

214

An assessment of energy balance from sugar-based ethanol for fuel-saving and climate policy - the case of an island economy  

Science Journals Connector (OSTI)

The study assesses the efficiency of sugar-based ethanol production in Mauritius using the net energy balance and energy ratio. The findings indicate a positive net energy balance. For every one unit of fossil fuel used, the system returns more than six times in terms of renewable energy from ethanol. The fuel savings and other economic benefits which may be accrued to Mauritius are discussed. The sensitivity analysis shows that the fossil energy consumed in the production of fertilisers and in the transportation of feedstock to factory represents the main components which influence efficiency indicators. Greening the supply chain may enhance the efficiency and sustainability of bio-ethanol production systems. Green strategies may include the use of organic fertilisers, clean technology, and sustainable transportation and land use. The efficiency indicators can also be used to guide the CDM for sugar-based ethanol project.

Riad Sultan; Abdel Khoodaruth

2013-01-01T23:59:59.000Z

215

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

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases On This Page The National Energy Modeling... Component modules Annual Energy Outlook 2011... The National Energy Modeling System The projections in the Annual Energy Outlook 2011 (AEO2011) are generated from the National Energy Modeling System (NEMS) [1], developed and maintained by the Office of Energy Analysis (OEA), formerly known as the Office Integrated Analysis and Forecasting (OIAF), of the U.S. Energy Information Administration (EIA) [2]. In addition to its use in developing the Annual Energy Outlook (AEO) projections, NEMS is also used to complete analytical studies for the U.S. Congress, the Executive Office of the President, other offices within the U.S. Department of Energy (DOE), and other Federal agencies. NEMS is also used by other nongovernment groups,

216

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

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases JUMP TO: The National Energy Modeling System | Component modules | Annual Energy Outlook 2013 cases The National Energy Modeling System Projections in the Annual Energy Outlook 2013 (AEO2013) are generated using the National Energy Modeling System (NEMS) [148], developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual Energy Outlook (AEO) projections, NEMS is also used to complete analytical studies for the U.S. Congress, the Executive Office of the President, other offices within the U.S. Department of Energy (DOE), and other Federal agencies. NEMS is also used by other nongovernment groups, such as the Electric Power Research Institute, Duke University, and Georgia Institute

217

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

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases JUMP TO: The National Energy Modeling System | Component modules | Annual Energy Outlook 2013 cases The National Energy Modeling System Projections in the Annual Energy Outlook 2013 (AEO2013) are generated using the National Energy Modeling System (NEMS) [148], developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual Energy Outlook (AEO) projections, NEMS is also used to complete analytical studies for the U.S. Congress, the Executive Office of the President, other offices within the U.S. Department of Energy (DOE), and other Federal agencies. NEMS is also used by other nongovernment groups, such as the Electric Power Research Institute, Duke University, and Georgia Institute

218

On the asymptotic balance between electric and magnetic energies for hydromagnetic relativistic flows  

SciTech Connect (OSTI)

In the equations of classical magnetohydrodynamics, the displacement current is considered vanishingly small due to low plasma velocities. For velocities comparable to the speed of light, the full relativistic electromagnetic equations must be used. In the absence of gravitational forcings and with an isotropic Ohm's law, it is proved that for poloidal magnetic field and velocity and toroidal electric field, the electric and magnetic energies tend to be equivalent in average for large times. This represents a partial extension of Cowling's theorem for axisymmetric fields.

Nez, Manuel [Department of Algebra and Mathematical Analysis and IMUVA, Universidad de Valladolid, 47005 Valladolid (Spain)] [Department of Algebra and Mathematical Analysis and IMUVA, Universidad de Valladolid, 47005 Valladolid (Spain)

2013-06-15T23:59:59.000Z

219

Using energy balances for processing the results from tests of a single-shaft combined-cycle power plant  

Science Journals Connector (OSTI)

Application of the balance method for dividing the overall power output produced by a single-shaft combined-cycle power plant between the steam turbine and...

G. G. Olkhovskii

2012-09-01T23:59:59.000Z

220

Western Hemisphere Oil Products Balance  

Gasoline and Diesel Fuel Update (EIA)

Western Hemisphere Oil Products Balance Ramn Espinasa, Ph.D. Lead Specialist July 2014 The Energy Innovation Center Energy Division 3 The views expressed by the author do not...

Note: This page contains sample records for the topic "nems balances energy" 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

Determining Energy Balance in the Flaring Chromosphere from Oxygen V Line Ratios  

E-Print Network [OSTI]

The impulsive phase of solar flares is a time of rapid energy deposition and heating in the lower solar atmosphere, leading to changes in the temperature and density structure of the region. We use an O V density diagnostic formed of the 192 to 248 line ratio, provided by Hinode EIS, to determine the density of flare footpoint plasma, at O V formation temperatures of 250,000 K, giving a constraint on the properties of the heated transition region. Hinode EIS rasters from 2 small flare events in December 2007 were used. Raster images were co-aligned to identify and establish the footpoint pixels, multiple-component Gaussian line fitting of the spectra was carried out to isolate the diagnostic pair, and the density was calculated for several footpoint areas. The assumptions of equilibrium ionization and optically thin radiation for the O V lines were found to be acceptable. Properties of the electron distribution, for one event, were deduced from earlier RHESSI hard X-ray observations and used to calculate the ...

Graham, David R; Labrosse, Nicolas

2014-01-01T23:59:59.000Z

222

Balanced diet  

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

Balanced diet Balanced diet Name: Wildman Jackson Location: N/A Country: N/A Date: N/A Question: I have seen on cereal boxes that 1 serving gives about 4-8% of some important vitamins. With a good diet (milk, vegetables, breads) am I getting 100% of all necessary vitamins every day? Should I really be concerned about vitamins like Zinc, Copper, etc.? I'm a male, so take that into consideration. Thanks. Replies: If you are indeed eating a well balanced diet, heavy on the fruits, veggies and cereals, you're probably getting the vitamins you need. The minerals (zinc, copper, etc) are also probably in your diet naturally. Different foods contain different nutrients; the catch is to be certain that you're getting enough variety. Especially during this time in your life when you're very actively growing, you need lots of things to be replenished regularly.

223

Greenhouse gasses emissions and energy balances of a non-vertically integrated sugar and ethanol supply chain: A case study in Argentina  

Science Journals Connector (OSTI)

In order to address society's concerns regarding the sustainability of sugar and ethanol production and use, this paper calculates the energy and greenhouse gasses (GHG) emissions' balances of a non-vertically integrated sugarcane industry in Tucumn-Argentina. The essential operations involved in the sugar/ethanol production cycle were taken into account. Results show that this industry generated an energy balance of 3.4:1. GHG emissions during sugarcane production were 1824 and 2231kg CO2eq. ha?1 year?1 for low and middle to high farms' technological levels, respectively. The mill process emitted 1187kg CO2eq. ha?1 year?1. The main factors influencing these balances were gas-oil and nitrogen fertilizers used in the agricultural stage, natural gas consumed by the sugar mill, and sugarcane burning (only for GHG balance). The impact of ethanol use in reducing GHG emissions under the current production scheme (6.8Mgha?1 of sugar+380.9kgha?1 of ethanol), in final blends of 95% gasoline and 5% ethanol in vehicles, is negligible. A sensitivity analysis indicates that switching to 100% bagasse used as fuel in mill's boilers, ethanol being produced directly from sugarcane juice, and a final blend of 90% gasoline and 10% ethanol, an amount of 1746kg CO2eq. ha?1 year?1 of GHG emissions could be avoided.

Martn M. Acreche; Alejandro H. Valeiro

2013-01-01T23:59:59.000Z

224

Improvements in the computation of balances and localization of commercial losses of electric energy in 0.38-kV networks  

SciTech Connect (OSTI)

An example of four 0.38-kV overhead distribution lines fed from a 10/0.4-kV transformer substation of the Grodno Electrical Networks (Belarus') and supplying electricity to a cottage area is used for analyzing energy balances and commercial losses in the networks. It is shown that the reliability of such analysis can be ensured by the use of modern software and electronic energy meters recording a retrospective of half-hourly intervals of active and reactive electric energy.

Vorotnitskii, V. Z.; Zaslonov, S. V.; Lysyuk, S. S. [Electric Power Research Institute (VNIIE) (Russian Federation)

2006-11-15T23:59:59.000Z

225

Balanced Scorecard  

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

3 3 ISSUED: August 30, 2012 LEARNING AND GROWTH - Employee Satisfaction - Employee Alignment FINANCIAL - Optimum Cost Efficiency of Purchasing Operations - Financial Contributions of Procurement via Cost Savings MISSION VISION STRATEGY CUSTOMER - Customer Satisfaction INTERNAL BUSINESS PROCESSES - Effective Internal Controls - Effective Supplier Management - Use of Effective Competition - Effective Utilization of Alternate Procurement Approaches - Acquisition Process - Good Corporate Citizenship through Purchasing BALANCED SCORECARD PERSPECTIVES AND OBJECTIVES 2 MISSION To provide acquisition and assistance services to support accomplishment of the Department's

226

The National Energy Modeling System: An Overview 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

227

Exploring the concept of compressed air energy storage (CAES) in lined rock caverns at shallow depth: A modeling study of air tightness and energy balance  

SciTech Connect (OSTI)

This paper presents a numerical modeling study of coupled thermodynamic, multiphase fluid flow and heat transport associated with underground compressed air energy storage (CAES) in lined rock caverns. Specifically, we explored the concept of using concrete lined caverns at a relatively shallow depth for which constructing and operational costs may be reduced if air tightness and stability can be assured. Our analysis showed that the key parameter to assure long-term air tightness in such a system was the permeability of both the concrete lining and the surrounding rock. The analysis also indicated that a concrete lining with a permeability of less than 110{sup -18} m{sup 2} would result in an acceptable air leakage rate of less than 1%, with the operational pressure range between 5 and 8 MPa at a depth of 100 m. It was further noted that capillary retention properties and the initial liquid saturation of the lining were very important. Indeed, air leakage could be effectively prevented when the air-entry pressure of the concrete lining is higher than the operational air pressure and when the lining is kept moist at a relatively high liquid saturation. Our subsequent energy-balance analysis demonstrated that the energy loss for a daily compression and decompression cycle is governed by the air-pressure loss, as well as heat loss by conduction to the concrete liner and surrounding rock. For a sufficiently tight system, i.e., for a concrete permeability off less than 110{sup -18} m{sup 2}, heat loss by heat conduction tends to become proportionally more important. However, the energy loss by heat conduction can be minimized by keeping the air-injection temperature of compressed air closer to the ambient temperature of the underground storage cavern. In such a case, almost all the heat loss during compression is gained back during subsequent decompression. Finally, our numerical simulation study showed that CAES in shallow rock caverns is feasible from a leakage and energy efficiency viewpoint. Our numerical approach and energy analysis will next be applied in designing and evaluating the performance of a planned full-scale pilot test of the proposed underground CAES concept.

Kim, H.-M.; Rutqvist, J.; Ryu, D.-W.; Choi, B.-H.; Sunwoo, C.; Song, W.-K.

2011-07-15T23:59:59.000Z

228

DOE/EIA-0581(2000) The National Energy Modeling System: An Overview  

Gasoline and Diesel Fuel Update (EIA)

NEMS NEMS represents domestic energy markets by ex- plicitly representing the economic decision making involved in the production, conversion, and con- sumption of energy products. Where possible, NEMS includes explicit representation of energy technolo- gies and their characteristics. Since energy costs and availability and en- ergy-consuming characteristics can vary widely across regions, considerable regional detail is in- cluded. Other details of production and consumption cate- gories are represented to facilitate policy analysis and en- sure the validity of the results. A summary of the detail provided in NEMS is shown below. Major Assumptions Each module of NEMS embodies many assumptions and data to characterize the future production, conversion, or consumption of energy in the United States. Two major Energy Information Administration/The National Energy Modeling

229

Balanced Scorecard  

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

1 1 ISSUED: Aug 17, 2010 MISSION To provide acquisition and assistance services to support accomplishment of the Department's programmatic goals and objectives. STRATEGY To develop and maintain an organizational culture, management systems, and line processes in the acquisition system that ensure a focus on results while emphasizing integrity, fairness, competition, openness, and efficiency. VISION To deliver on a timely basis the best value product or service to our customers while maintaining the public's trust and fulfilling public policy objectives. 2 BALANCED SCORECARD STRATEGIC PERSPECTIVES MISSION VISION STRATEGY LEARNING AND GROWTH CUSTOMER FINANCIAL INTERNAL BUSINESS PROCESSES

230

Balanced Scorecard  

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

1 1 ISSUED: August 17, 2010 LEARNING AND GROWTH - Employee Satisfaction - Employee Alignment FINANCIAL - Optimum Cost Efficiency of Purchasing Operations MISSION VISION STRATEGY CUSTOMER - Customer Satisfaction INTERNAL BUSINESS PROCESSES - Effective Internal Controls - Effective Supplier Management - Use of Effective Competition - Effective Utilization of Alternate Procurement Approaches - Acquisition Process - Good Corporate Citizenship through Purchasing BALANCED SCORECARD PERSPECTIVES AND OBJECTIVES 2 MISSION To provide acquisition and assistance services to support accomplishment of the Department's programmatic goals and objectives. STRATEGY To develop and maintain an organizational culture, management systems, and line processes in the

231

SunShot Initiative: Balance of Systems  

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

Key Activities Key Activities Printable Version Share this resource Send a link to SunShot Initiative: Balance of Systems to someone by E-mail Share SunShot Initiative: Balance of Systems on Facebook Tweet about SunShot Initiative: Balance of Systems on Twitter Bookmark SunShot Initiative: Balance of Systems on Google Bookmark SunShot Initiative: Balance of Systems on Delicious Rank SunShot Initiative: Balance of Systems on Digg Find More places to share SunShot Initiative: Balance of Systems on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Balance of Systems Reducing Non-Hardware Costs Lowering Barriers Fostering Growth Balance of Systems Get the Adobe Flash Player to see this video. Text Alternative The U.S. Department of Energy (DOE) SunShot Initiative accelerates the

232

Impacts of Modeled Recommendations of the National Commission on Energy Policy  

Reports and Publications (EIA)

This report provides the Energy Information Administration's analysis of those National Commission on Energy Policy (NCEP) energy policy recommendations that could be simulated using the National Energy Modeling System (NEMS).

2005-01-01T23:59:59.000Z

233

Abstract 966: Dietary energy balance modulates IGF-1R and EGFR signaling and crosstalk during tumor promotion  

Science Journals Connector (OSTI)

...for Cancer Research. 1 October 2014 meeting-abstract Molecular and...homeostasis of liver energy metabolism...to study the energy metabolism...homeostasis of liver energy metabolism. [abstract]. In: Proceedings...for Cancer Research; 2014 Apr...

Tricia Moore; Linda Beltran; Steve Carbajal; Guiyu Jiang; Tarlochan Bhatt; Stephen Hursting; and John DiGiovanni

2010-04-15T23:59:59.000Z

234

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

235

The National Energy Modeling System: An Overview 1998 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

INTRODUCTION INTRODUCTION blueball.gif (205 bytes) Purpose of NEMS blueball.gif (205 bytes) Representations of Energy Market blueball.gif (205 bytes) Technology Representation blueball.gif (205 bytes) External Availability The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S.

236

Steam System Balancing and Tuning  

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

Steam System Balancing and Steam System Balancing and Tuning Building America Stakeholder Meeting Austin, TX Jayne Choi, Energy Analyst, CNT Energy March 2, 2012 PARR Current collaboration with GTI as a part of the PARR Building America team - Steam Systems Balancing and Tuning Study - Heating season 2011-2012 Background In Chicago, heating is the focus of residential energy use Of the 470,000 multifamily units in the Chicago region, at least 70,000 of those are steam heated Old steam systems invariably suffer from imbalance - Tenants must use supplemental heat or open their windows to cool their apartments during the heating season Buildings are often overheated Problem Statement (CNT Energy) Steam Heating Steam heat was the best option for buildings constructed between 1900 and 1930

237

Public Interest Energy Research (PIER) Program FINAL PROJECT REPORT California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors  

E-Print Network [OSTI]

Renewable Energy (USDOE/EERE). 2009. U. S. Buildings EnergyRenewable Energy (USDOE/EERE), 2010. States activities andin the manufacturing sector (USDOE/EERE, 2010). Industry (

de la Rue du Can, Stephane

2014-01-01T23:59:59.000Z

238

Public Interest Energy Research (PIER) Program FINAL PROJECT REPORT California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors  

E-Print Network [OSTI]

products. Similarly, Biomass energy use is now availableelectricity imports and biomass energy represent 2 percentresources, coal, and biomass energy sources. In total, CALEB

de la Rue du Can, Stephane

2014-01-01T23:59:59.000Z

239

Public Interest Energy Research (PIER) Program FINAL PROJECT REPORT California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors  

E-Print Network [OSTI]

large quantity of geothermal energy that is shown as supply.largest supply is geothermal energy representing 6 percent,5 percent in 1990. Geothermal energy also decreased slightly

de la Rue du Can, Stephane

2014-01-01T23:59:59.000Z

240

Public Interest Energy Research (PIER) Program FINAL PROJECT REPORT California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors  

E-Print Network [OSTI]

May California Energy Commission (CEC). 2002. Inventory ofCalifornia, California Energy Commission, November. 600- 02-Forecast. California Energy Commission. CEC-200-2009-012-

de la Rue du Can, Stephane

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

Exploring the concept of compressed air energy storage (CAES) in lined rock caverns at shallow depth: A modeling study of air tightness and energy balance  

E-Print Network [OSTI]

wind- diesel-compressed air energy storage system for remotestudy for the compressed air energy storage technology bydesign of compressed air energy storage electric power

Kim, H.-M.

2012-01-01T23:59:59.000Z

242

Numerical modelling of the energy balance and the englacial temperature of the Greenland Ice Sheet. Calculations for the ETH-Camp location (West Greenland, 1155 m a.s.l.)  

Science Journals Connector (OSTI)

In the present work, a numerical model that calculates the surface energy blance, mass balance and temperature in the uppermost 25 m of ice at a single location on a glacier is presented. The model is forced by five basic meteorological elements: air temperature and humidity, wind speed, cloud amount and precipitation. The model was developed for studies of the Greenland Ice Sheet. Parameterizations of the surface energy fluxes were optimised with data mainly from the ETH Camp, West Greenland (1155 m a.s.l.). The model was tested on data collected during the summer of 1990 in the ETH Camp. In this case measurements of the radiative fluxes could be used. A reasonable fit between measurements and calculations of mass balance and englacial temperature could be obtained. The energy balance of this summer is discussed. In a second application, the annual cycle of the energy and mass balance and the englacial temperature at the location of the ETH Camp was simulated. In this case long term average values of the input variables were estimated from measurements at other locations and the radiative fluxes were computed with the parameterizations. The effect of model uncertainties on the calculated mass balance and 10 m ice temperature is discussed. The energy balance and the relation between air and ice temperature are analysed. The uncertainty in the calculated ablation is so large (5001000 mm w.e./yr) that the contribution of ablation on the Greenland Ice Sheet to sea-level rise cannot be calculated with sufficient accuracy (i.e. 60 mm w.e./yr) with this kind of model. However, the model should be appropriate for the determination of the sensitivity of ablation to climate change. It is predicted that at the ETH Camp the mass balance will decrease by 610 mm w.e./yr after a temperature increase of 1C.

Wouter Greuell; Thomas Konzelmann

1994-01-01T23:59:59.000Z

243

The National Energy Modeling System: An overview  

SciTech Connect (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.

Not Available

1994-05-01T23:59:59.000Z

244

Abstract 815: Dietary energy balance modulates skin tumor promotion through altered IGF-1R and EGFR crosstalk  

Science Journals Connector (OSTI)

...for Cancer Research 15 April 2013 meeting-abstract Molecular and...Washington, DC Abstract 1858: Development...biomarkers to assess energy metabolism...for Cancer Research, Frederick...biomarkers to assess energy metabolism in cancer. [abstract]. In: Proceedings...for Cancer Research; 2013 Apr...

Tricia Moore; Linda Beltran; Stephen Hursting; and John DiGiovanni

2011-04-15T23:59:59.000Z

245

Natural gas transmission and distribution model of the National Energy Modeling System  

SciTech Connect (OSTI)

The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.

NONE

1997-02-01T23:59:59.000Z

246

National Energy Modeling System (United States) | Open Energy Information  

Open Energy Info (EERE)

National Energy Modeling System (United States) National Energy Modeling System (United States) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (United States) Focus Area: Biomass Topics: Policy, Deployment, & Program Impact Website: www.eia.gov/oiaf/aeo/overview/ Equivalent URI: cleanenergysolutions.org/content/national-energy-modeling-system-unite Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Technical Assistance Regulations: Utility/Electricity Service Costs The National Energy Modeling System (NEMS) is a computer-based, energy-economy modelling system of the United States through 2030. NEMS

247

EIA - The National Energy Modeling System: An Overview 2003-Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction The National Energy Modeling System: An Overview 2003 Introduction The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2025. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview 2003 presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, “Bibliography”).

248

Abstract 2830: Energy balance and breast cancer risk among sisters pairs in the Breast Cancer Family Registry Study  

Science Journals Connector (OSTI)

...Philadelphia, PA 7City University of New York - Queens College, Flushing, NY 8Columbia University, New York, NY. Animal models have shown strong evidence that energy restriction inhibits mammary tumor...

Fang Fang Zhang; Esther M. John; Dee W. West; Julia Knight; Irene Andrulis; Saundra Buys; Mary Daly; Beth Stearman; Manleen Kaur; Jamboor Vishwanatha; Alfredo Morabia; and Mary Beth Terry

2010-04-15T23:59:59.000Z

249

Association of Energy Intake and Energy Balance with Postmenopausal Breast Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial  

Science Journals Connector (OSTI)

...extreme estimates of energy consumption (upper or lower...Implication of total energy intake for epidemiologic...equation for resting energy expenditure in...per capita food consumption. Cancer 1986...of the effect of World War II in Norway...

Shih-Chen Chang; Regina G. Ziegler; Barbara Dunn; Rachael Stolzenberg-Solomon; James V. Lacey, Jr.; Wen-Yi Huang; Arthur Schatzkin; Douglas Reding; Robert N. Hoover; Patricia Hartge; and Michael F. Leitzmann

2006-02-01T23:59:59.000Z

250

Association of Energy Intake and Energy Balance with Postmenopausal Breast Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial  

Science Journals Connector (OSTI)

...four measures of dietary quality (total energy, energy from fat, FV...servings). Overall, dietary quality was poor, with mean...differences in dietary quality by drinking status; mean daily total energy intake was higher among...

Shih-Chen Chang; Regina G. Ziegler; Barbara Dunn; Rachael Stolzenberg-Solomon; James V. Lacey, Jr.; Wen-Yi Huang; Arthur Schatzkin; Douglas Reding; Robert N. Hoover; Patricia Hartge; and Michael F. Leitzmann

2006-02-01T23:59:59.000Z

251

Public Interest Energy Research (PIER) Program FINAL PROJECT REPORT California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors  

E-Print Network [OSTI]

02-001F. CEC. 2005. Energy Demand Forecast Methods Report.CEC. 2007. California Energy Demand 2008-2018, Staff RevisedT. Gorin. 2009. California Energy Demand 2010-2020, Adopted

de la Rue du Can, Stephane

2014-01-01T23:59:59.000Z

252

Public Interest Energy Research (PIER) Program FINAL PROJECT REPORT California Energy Balance Update and Decomposition Analysis for the Industry and Building Sectors  

E-Print Network [OSTI]

Change in the Final Energy Use Mix of California Industry,California industry energy use mix in 1997 and 2008. ThisChange in the Final Energy Use Mix of California Industry,

de la Rue du Can, Stephane

2014-01-01T23:59:59.000Z

253

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

Gasoline and Diesel Fuel Update (EIA)

See most recent version of AEO See most recent version of AEO Annual Energy Outlook Products - Archive Annual Energy Outlook Supplement Tables Assumptions NEM System (NEMS): An Overview NEMS Retrospective Early Release HTML PDF HTML PDF HTML PDF HTML PDF HTML PDF HTML PDF 2013 2013 2013 2013 2012 2012 2012 2012 2012 2012 2011 2011 2011 2011 2011 2011 2011 2011 2010 2010 2010 2010 2010 2010 2010 2010 2010 2009 2009 2009 2009 2009 2009 2009 2009 2009 2008 2008 2008 2008 2008 2008 2009 2008 2008 2008 2008 2007 2007 2007 2007 2007

254

Short communication: Effect of dietary manipulation of crude protein content and nonfibrous-to-fibrous-carbohydrate ratio on energy balance in early-lactation dairy cows  

Science Journals Connector (OSTI)

Abstract Disparities between nutrient intake and demand often result in a state of negative energy balance (EB) in the early-lactation dairy cow. Reducing dietary crude protein (CP) content and providing glucogenic nutrients may overcome this issue. This study evaluates whether or not offering a diet lower in CP and higher in nonfiber carbohydrates (LP-NFC) can improve EB and the metabolic status of the early-lactation dairy cow compared with a diet higher in CP and fibrous carbohydrates (HP-FC). Twenty Holstein-Friesian dairy cows were assigned to 1 of 2 dietary treatments in a randomized block design. Diets were isoenergetic (6.57 MJ of net energy for lactation) and formulated to contain 15% CP and 6% starch (HP-FC), or 12% CP and 28% starch (LP-NFC) and were offered for the first 63 d of lactation. Intake and milk yield were determined daily, whereas milk and blood samples, weights, and body condition scores were collected weekly. Intakes (mean standard errors of the mean, SEM) of dry matter (17.40.6kg/d) and energy (113.04.6 MJ of net energy for lactation) were not different between treatments. However, the HP-FC group had a higher milk yield (31.8 vs. 28.91.4kg/d) and a lower EB compared with the LP-NFC group. Blood urea N concentration (3.5 vs. 1.80.2mmol/L) was higher, whereas bilirubin (6.0 vs. 6.70.2mmol/L) and ?-hydroxybutyrate concentrations (0.7 vs. 0.80.05mmol/L) were lower in the HP-FC group compared with the LP-NFC group. These data suggest that EB can be improved during early lactation through the manipulation of milk output by offering a lower CP, higher NFC diet.

S.J. Whelan; F.J. Mulligan; V. Gath; B. Flynn; K.M. Pierce

2014-01-01T23:59:59.000Z

255

Exploring the concept of compressed air energy storage (CAES) in lined rock caverns at shallow depth: A modeling study of air tightness and energy balance  

E-Print Network [OSTI]

sources must be available when the wind is stagnant and solar energyclose to energy sources such as wind and solar power.Wind and solar power are promising renewable energy sources,

Kim, H.-M.

2012-01-01T23:59:59.000Z

256

Association of Energy Intake and Energy Balance with Postmenopausal Breast Cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial  

Science Journals Connector (OSTI)

...13-6. 3 Willett WC. Fat, energy and breast cancer. J Nutr...den BT, van den Brandt PA. Energy restriction and the risk of...Zhu Z. Mechanisms by which energy restriction inhibits carcinogenesis...of diet and breast cancer in Argentina. Int J Cancer 1989;44...

Shih-Chen Chang; Regina G. Ziegler; Barbara Dunn; Rachael Stolzenberg-Solomon; James V. Lacey, Jr.; Wen-Yi Huang; Arthur Schatzkin; Douglas Reding; Robert N. Hoover; Patricia Hartge; and Michael F. Leitzmann

2006-02-01T23:59:59.000Z

257

MATERIAL BALANCE REPORT  

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

2 2 (08-98) Previous editions are obsolete. MANDATORY DATA COLLECTION AUTHORIZED BY 10 CFR 30, 40, 50, 70, 75, 150. Public Laws 83-703, 93-438, 95-91. U.S. DEPARTMENT OF ENERGY AND U.S. NUCLEAR REGULATORY COMMISSION MATERIAL BALANCE REPORT 18 U.S.C. SECTION 1001; ACT OF JUNE 25, 1948; 62 STAT. 749; MAKES IT A CRIMINAL OFFENSE TO MAKE A WILLFULLY FALSE STATEMENT OR REPRESENTATION TO ANY DEPARTMENT OR AGENCY OF THE UNITED STATES AS TO ANY MATTER WITHIN ITS JURISDICTION. Printed with soy ink on recycled paper OMB Control No. 1910-1800 OMB Burden Disclosure Statement on Reverse SECTION A 7. DOE/NRC 740M ATTACHED 8. BEGINNING INVENTORY - DOE OWNED 9. BEGINNING INVENTORY - NOT DOE OWNED RECEIPTS 11. PROCUREMENT FROM DOE FROM: 13. PROCUREMENT - FOR THE ACCOUNT OF DOE 14. DOD RETURNS - USE A 15. DOD RETURNS - USE B

258

Nano-Electro-Mechanical (NEM) Relay Devices and Technology for Ultra-Low Energy Digital Integrated Circuits  

E-Print Network [OSTI]

substrate, a layer of phosphosilicate glass is deposited atand drive-in anneal. Phosphosilicate glass (PSG) is then

Nathanael, Rhesa

2012-01-01T23:59:59.000Z

259

14 - Graphene nanoelectromechanics (NEMS)  

Science Journals Connector (OSTI)

Abstract: The use of graphene in the development of nanoscale mechanical structures is reviewed. The recent development of graphene resonators and techniques used to fabricate and characterise them is described. Some applications in sensor technology are highlighted.

Z. Moktadir

2014-01-01T23:59:59.000Z

260

Substrate Balances across Colonic Carcinomas in Humans  

Science Journals Connector (OSTI)

...in humans, the balances of energy-yielding substrates and amino...observed. It is concluded that the energy metabolism of human colonic...1926. 6. Warburg, O., Wind, F., and Negelein, E. oeberden...glutamine, not sugar, is the major energy source for cultured HeLa cells...

Eggert Holm; Egbert Hagmller; Ulrich Staedt; Gerwin Schlickeiser; Hans-Joachim Gnther; Hans Leweling; Mehmet Tokus; and Hermann B. Kollmar

1995-03-15T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

Energy Balance Bowen Ratio System  

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

we feel coming from a warm sidewalk or a metal car door; it can be measured with a thermometer. Latent heat, on the other hand, is released or absorbed during transformations...

262

AEDG Implementation Recommendations: Testing and Balancing | Building  

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

Testing and Balancing Testing and Balancing The Advanced Energy Design Guide (AEDG) for Small Office Buildings, 30% series, seeks to achieve 30% savings over ASHRAE Standard 90.1-1999. This guide focuses on improvements to small office buildings, less than 20,000ft2. The recommendations in this article are adapted from the implementation section of the guide and focus on testing, adjusting, and balancing; heating sources; filters. Publication Date: Sunday, April 13, 2008 air_testing_and_balancing.pdf Document Details Affiliation: DOE BECP Focus: Compliance Building Type: Commercial Code Referenced: ASHRAE Standard 90.1-1999 Document type: AEDG Implementation Recommendations Target Audience: Architect/Designer Builder Contractor Engineer State: All States Contacts Web Site Policies U.S. Department of Energy

263

State Energy Efficiency Program Evaluation Inventory  

Reports and Publications (EIA)

The focus of this inventory, some of which has been placed into a searchable spreadsheet, is to support the National Energy Modeling System (NEMS) and to research cost information in state-mandated energy efficiency program evaluations e.g., for use in updating analytic and modeling assumptions used by the U.S. Energy Information Administration (EIA).

2013-01-01T23:59:59.000Z

264

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

265

The Balancing Act  

SciTech Connect (OSTI)

This essay is being proposed as part of a book titled: "Motherhood: The Elephant in the Laboratory." It offers professional and personal advice on how to balance working in the research field with a family life.

Fowler, Kimberly M.

2008-05-01T23:59:59.000Z

266

Assumptions to the Annual Energy Outlook 2002 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20021 (AEO2002), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2002 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of

267

Assumptions to the Annual Energy Outlook 2001 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Outlook2001 Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20011 (AEO2001), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2001 were produced with the National Energy

268

Balance Engineering - Eli Lilly Teaming Profile  

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

Industrial SPP / Partner Teaming Profile Industrial SPP / Partner Teaming Profile UService/Product Provider Balance Engineering Inc. 3711 East Carmel Drive Carmel, IN 46033 Business: Consulting Engineering Jack F. Staley President Phone: 317-844-3178 Email: HTUjack@balanceeng.comUT U I ndustrial Partner Eli Lilly and Company Lilly Corporate Center Indianapolis, IN 46285 Business: Pharmaceuticals David S. Drzewiecki Group Leader, Energy & Utilities Phone: 317-433-0336 Email: HTUDrzewiecki_David_S@Lilly.comUT Balance Engineering identifies $3 million in energy savings at Lilly facility Project Scope Balance Engineering conducted a facility energy assessment of the Eli Lilly Clinton Laboratories, a large multi-building pharmaceutical campus. The goals of the assessment were to determine the major uses of

269

Annual Energy Outlook 2009 with Projections to 2030  

SciTech Connect (OSTI)

The Annual Energy Outlook 2009 (AEO2009), prepared by the Energy Information Administration (EIA), presents long-term projections of energy supply, demand, and prices through 2030, based on results from EIAs National Energy Modeling System (NEMS). EIA published an early release version of the AEO2009 reference case in December 2008.

None

2009-03-01T23:59:59.000Z

270

EIA - The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System: An Overview 2003 This report provides a summary description of the NEMS which was used to generate the projections of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003. Preface Introduction Overview of NEMS Carbon Dioxide and Methane Emissions Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Renewable Fuels Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Bibliography Download the Report NEMS: An Overview 2003 Cover. Need help, contact the National Energy Information Center at 202-586-8800.

271

Work/Life Balance  

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

Work/Life Balance Work/Life Balance /careers/_assets/images/careers-icon.jpg Work/Life Balance Explore the multiple dimensions of a career at LANL: work with the best minds on the planet in an inclusive environment that is rich in intellectual vitality and opportunities for growth. What our employees say: Health & Wellness "The Lab pays 80 percent of my family's medical premiums with Blue Cross Blue Shield of New Mexico." Retirement & Savings "With the Lab matching my 401K contributions of six percent, I'm making good progress in saving for my retirement." Time Off "Like many of my colleagues here, I work nine hours on most work days so that I can take every other Friday off." Tax Savings "My flexible spending accounts allow me to set aside pre-tax dollars for

272

Annual Energy Outlook 96 Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for for the Annual Energy Outlook 1996 January 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 1996 (AEO96). In this context, assumptions include general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports listed in the Appendix. 1 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview. The National Energy Modeling System The projections

273

Horizontal film balance having wide range and high sensitivity  

DOE Patents [OSTI]

A thin-film, horizontal balance instrument is provided for measuring surface tension (surface energy) of thin films suspended on a liquid substrate. The balance includes a support bearing and an optical feedback arrangement for wide-range, high sensitivity measurements. The force on the instrument is balanced by an electromagnet, the current through the magnet providing a measure of the force applied to the instrument. A novel float construction is also disclosed.

Abraham, B.M.; Miyano, K.; Ketterson, J.B.

1981-03-05T23:59:59.000Z

274

Horizontal film balance having wide range and high sensitivity  

DOE Patents [OSTI]

A thin-film, horizontal balance instrument is provided for measuring surface tension (surface energy) of thin films suspended on a liquid substrate. The balance includes a support bearing and an optical feedback arrangement for wide-range, high sensitivity measurements. The force on the instrument is balanced by an electromagnet, the current through the magnet providing a measure of the force applied to the instrument. A novel float construction is also disclosed. 5 figs.

Abraham, B.M.; Miyano, K.; Ketterson, J.B.

1983-11-08T23:59:59.000Z

275

Horizontal film balance having wide range and high sensitivity  

DOE Patents [OSTI]

A thin-film, horizontal balance instrument is provided for measuring surface tension (surface energy) of thin films suspended on a liquid substrate. The balance includes a support bearing and an optical feedback arrangement for wide-range, high sensitivity measurements. The force on the instrument is balanced by an electromagnet, the current through the magnet providing a measure of the force applied to the instrument. A novel float construction is also disclosed.

Abraham, Bernard M. (Oak Park, IL); Miyano, Kenjiro (Downers Grove, IL); Ketterson, John B. (Evanston, IL)

1983-01-01T23:59:59.000Z

276

Abstract 2198: A literature-based sum score of genetic variants in IGF genes modifies associations between indicators of energy balance and colorectal cancer risk  

Science Journals Connector (OSTI)

...Association for Cancer Research April 15, 2010 meeting-abstract Cellular and...Abstract 4834: Energy-dependent AMPK...in response to energy stress. Importantly...autophagy under energy stress conditions...Authors}. {Abstract title} [abstract...Association for Cancer Research; 2010 Apr 17-21...

Colinda CJM Simons; Leo J. Schouten; Roger Godschalk; Frederik-Jan van Schooten; Piet A. van den Brandt; and Matty P. Weijenberg

2014-10-01T23:59:59.000Z

277

Abstract LB-187: Dietary energy balance modulation of Kras- and Ink4a/Arf+/-driven pancreatic cancer: the role of insulin-like growth factor-1.  

Science Journals Connector (OSTI)

...Association for Cancer Research. 1 October 2014 meeting-abstract Tumor Biology...mitochondrial energy production and...The improved energy status is linked...mitochondrial energy production and...tumor-initiating cells. [abstract]. In: Proceedings...Association for Cancer Research; 2014 Apr 5-9...

Laura M. Lashinger; Lauren M. Harrison; Audrey J. Rasmussen; Craig D. Logsdon; Susan M. Fischer; Mark J. McArthur; and Stephen D. Hursting

2013-04-15T23:59:59.000Z

278

SunShot Initiative: Balance of Systems  

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

Balance of Systems Balance of Systems Get the Adobe Flash Player to see this video. Text Alternative The U.S. Department of Energy (DOE) SunShot Initiative accelerates the adoption of solar energy technologies in the marketplace. In support of SunShot Initiative goals, the Solar Office partners with manufacturers, communities, universities, utilities, and other stakeholders to: Reduce Non-Hardware Costs Lower Barriers Foster Growth. These focus areas ensure that solar energy systems continue to become more affordable and accessible for Americans. Current Efforts DOE issues competitive solicitations to fund a range of projects that target the non-hardware, or soft costs of solar. Awardees are working through the following programs to advance the SunShot mission: Solar Energy Evolution and Diffusion Studies

279

Assumptions to Annual Energy Outlook - Energy Information Administration  

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

Assumptions to AEO2013 Assumptions to AEO2013 Release Date: May 14, 2013 | Next Release Date: May 2014 | full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual

280

Assumptions to Annual Energy Outlook - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to AEO2012 Assumptions to AEO2012 Release Date: August 2, 2012 | Next Release Date: August 2013 | Full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2012 [1] (AEO2012), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in AEO2012 are generated using the NEMS, developed and maintained by the Office of Energy Analysis (OEA) of the U.S. Energy Information Administration (EIA). In addition to its use in developing the

Note: This page contains sample records for the topic "nems balances energy" 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

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2006 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20061 (AEO2006), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every few years. The National Energy Modeling System

282

Seasonal mass balance gradients in Norway L. A. Rasmussen1  

E-Print Network [OSTI]

Norwegian Water Resources and Energy Directorate (NVE) P. O. Box 5091 Majorstua, N-0301 Oslo, Norway16 Aug 05 Seasonal mass balance gradients in Norway L. A. Rasmussen1 and L. M. Andreassen2 1 in Norway exists in their profiles of both seasonal balances, winter bw(z) and summer bs(z). Unlike many

Rasmussen, L.A.

283

Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Outlook Outlook 2010 Restrospective Review July 2011 www.eia.gov U.S. Depa rtment of Energy W ashington, DC 20585 This page inTenTionally lefT blank 3 U.S. Energy Information Administration | Annual Energy Outlook Retrospective Review While the integrated nature of NEMS may result in some feedback that slightly modifies the initial assumptions about world oil price and the macroeconomic growth environment, these feedbacks tend to be relatively small, so that the initial assumptions for world oil price and the macroeconomic growth environment largely determine the overall projection environ- ment. To the extent that this general environment deviates from the initial assumptions, the NEMS projection results will also deviate. Table 2 provides a summary of the percentage of years in

284

Glossary Balancing Item: Represents  

Gasoline and Diesel Fuel Update (EIA)

Balancing Balancing Item: Represents differences between the sum of the components of natural gas supply and the sum of the components of natural gas disposition. These differences may be due to quantities lost or to the effects of data-report- ing problems. Reporting problems include differences due to the net result of conversions of flow data metered at varying temperature and pressure bases and converted to a standard temperature and pressure base; the effect of vari- ations in company accounting and billing practices; differ- ences between billing cycle and calendar period time frames; and imbalances resulting from the merger of data- reporting systems that vary in scope, format, definitions, and type of respondents. Biomass Gas: A medium Btu gas containing methane and carbon dioxide, resulting from the action of microorganisms on organic materials such as a landfill. British Thermal

285

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

286

Balance-sheet trends  

E-Print Network [OSTI]

of tho dnsrissn Xastitate of de~tents, ~talons br tbo dnsrioon leeoanting kaooeiet t~ releases of the Qnited States ~hoes and gashsags Cosaisekon& Wad ~krone srtisgse by ~ of ths aeooontiag profession hews assisted the soo~eA ia asking those ohaagns... CcmpmF? Nreepcrb Sulphcr Company' and others in their 1948 cubi%shed balance sheet titles. On the other hand, Tbs National SupplS ~? United States Gypsum Companf? snd Marquette Cement Manufacturing Co??paly are consolidated compania? th?t fail...

Cox, Gilford W

2012-06-07T23:59:59.000Z

287

Wide-Area Energy Storage and Management system to Balance Intermittent Resources in the Bonneville Power Administration and California ISO Control Areas  

SciTech Connect (OSTI)

The entire project addresses the issue of mitigating additional intermittency and fast ramps that occur at higher penetration of intermittent resources, including wind genera-tion, in the Bonneville Power Administration (BPA) and the California Independent Sys-tem Operator (California ISO) control areas. The proposed Wide Area Energy Storage and Management System (WAEMS) will address the additional regulation requirement through the energy exchange between the participating control areas and through the use of energy storage and other generation resources. For the BPA and California ISO control centers, the new regulation service will look no different comparing with the traditional regulation resources. The proposed project will benefit the regulation service in these service areas, regardless of the actual degree of penetration of the intermittent resources in the regions. The project develops principles, algorithms, market integration rules, functional de-sign and technical specifications for the WAEMS system. The project is sponsored by BPA and supported in kind by California ISO, Beacon Power Corporation, and the Cali-fornia Energy Commission (CEC).

Makarov, Yuri V.; Yang, Bo; DeSteese, John G.; Lu, Shuai; Miller, Carl H.; Nyeng, Preben; Ma, Jian; Hammerstrom, Donald J.; Vishwanathan, Vilanyur V.

2008-06-30T23:59:59.000Z

288

Self-Adaptive Management of The Sleep Depths of Idle Nodes in Large Scale Systems to Balance Between Energy Consumption and Response Times  

E-Print Network [OSTI]

Between Energy Consumption and Response Times Yongpeng Liu(1) , Hong Zhu(2) , Kai Lu(1) , Xiaoping Wang(1.659 MW, which equals the power usage of a middle scale city. In 2006, US servers and data centers U.S. electricity consumption or the output of about 15 typical power plants [2]. In 2007

Zhu, Hong

289

Modeling Interregional Transmission Congestion in the NationalEnergy Modeling System  

SciTech Connect (OSTI)

Congestion analysis using National Energy Modeling National Energy Modeling System (NEMS) or NEMS-derivatives, such as LBNL-NEMS, is subject to significant caveats because the generation logic inherent in NEMS limits the extent to which interregional transmission can be utilized and intraregional transmission is not represented at all. The EMM is designed primarily to represent national energy markets therefore regional effects may be simplified in ways that make congestion analysis harder. Two ways in particular come to mind. First, NEMS underutilizes the capability of the traditional electric grid as it builds the dedicated and detached grid. Second, it also undervalues the costs of congestion by allowing more transmission than it should, due to its use of a transportation model rather than a transmission model. In order to evaluate benefits of reduced congestion using LBNL-NEMS, Berkeley Lab identified three possible solutions: (1) implement true simultaneous power flow, (2) always build new plants within EMM regions even to serve remote load, and (3) the dedicated and detached grid should be part of the known grid. Based on these findings, Berkeley Lab recommends the following next steps: (1) Change the build logic that always places new capacity where it is needed and allow the transmission grid to be expanded dynamically. (2) The dedicated and detached grid should be combined with the traditional grid. (3) Remove the bias towards gas fired combine cycle and coal generation, which are the only types of generation currently allowed out of region. (4) A power flow layer should be embedded in LBNL-NEMS to appropriately model and limit transmission.

Gumerman, Etan; Chan, Peter; Lesieutre, Bernard; Marnay, Chris; Wang, Juan

2006-05-25T23:59:59.000Z

290

Assumptions to the Annual Energy Outlook 2013  

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

Introduction Introduction This page inTenTionally lefT blank 3 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S.

291

Dynamic load balancing of applications  

DOE Patents [OSTI]

An application-level method for dynamically maintaining global load balance on a parallel computer, particularly on massively parallel MIMD computers. Global load balancing is achieved by overlapping neighborhoods of processors, where each neighborhood performs local load balancing. The method supports a large class of finite element and finite difference based applications and provides an automatic element management system to which applications are easily integrated.

Wheat, Stephen R. (Albuquerque, NM)

1997-01-01T23:59:59.000Z

292

High-temperature Thermal Storage System for Solar Tower Power Plants with Open-volumetric Air Receiver Simulation and Energy Balancing of a Discretized Model  

Science Journals Connector (OSTI)

Abstract This paper describes the modeling of a high-temperature storage system for an existing solar tower power plant with open volumetric receiver technology, which uses air as heat transfer medium (HTF). The storage system model has been developed in the simulation environment Matlab/Simulink. The storage type under investigation is a packed bed thermal energy storage system which has the characteristics of a regenerator. Thermal energy can be stored and discharged as required via the HTF air. The air mass flow distribution is controlled by valves, and the mass flow by two blowers. The thermal storage operation strategy has a direct and significant impact on the energetic and economic efficiency of the solar tower power plants.

Valentina Kronhardt; Spiros Alexopoulos; Martin Reiel; Johannes Sattler; Bernhard Hoffschmidt; Matthias Hnel; Till Doerbeck

2014-01-01T23:59:59.000Z

293

Massive stars and the energy balance of the interstellar medium. II. The 35 solar mass star and a solution to the "missing wind problem"  

E-Print Network [OSTI]

We continue our numerical analysis of the morphological and energetic influence of massive stars on their ambient interstellar medium for a 35 solar mass star that evolves from the main sequence through red supergiant and Wolf-Rayet phases, until it ultimately explodes as a supernova. We find that structure formation in the circumstellar gas during the early main-sequence evolution occurs as in the 60 solar mass case but is much less pronounced because of the lower mechanical wind luminosity of the star. Since on the other hand the shell-like structure of the HII region is largely preserved, effects that rely on this symmetry become more important. At the end of the stellar lifetime 1% of the energy released as Lyman continuum radiation and stellar wind has been transferred to the circumstellar gas. From this fraction 10% is kinetic energy of bulk motion, 36% is thermal energy, and the remaining 54% is ionization energy of hydrogen. The sweeping up of the slow red supergiant wind by the fast Wolf-Rayet wind produces remarkable morphological structures and emission signatures, which are compared with existing observations of the Wolf-Rayet bubble S308. Our model reproduces the correct order of magnitude of observed X-ray luminosity, the temperature of the emitting plasma as well as the limb brightening of the intensity profile. This is remarkable, because current analytical and numerical models of Wolf-Rayet bubbles fail to consistently explain these features. A key result is that almost the entire X-ray emission in this stage comes from the shell of red supergiant wind swept up by the shocked Wolf-Rayet wind rather than from the shocked Wolf-Rayet wind itself as hitherto assumed and modeled. This offers a possible solution to what is called the ``missing wind problem'' of Wolf-Rayet bubbles.

Tim Freyer; Gerhard Hensler; Harold W. Yorke

2005-12-05T23:59:59.000Z

294

Massive Stars and the Energy Balance of the Interstellar Medium. II. The 35 M? Star and a Solution to the "Missing Wind Problem"  

Science Journals Connector (OSTI)

We continue our numerical analysis of the morphological and energetic influence of massive stars on their ambient interstellar medium for a 35 M? star that evolves from the main-sequence through red supergiant and Wolf-Rayet phases, until it ultimately explodes as a supernova. We find that structure formation in the circumstellar gas during the early main-sequence evolution occurs as in the 60 M? case but is much less pronounced because of the lower mechanical wind luminosity of the star. On the other hand, since the shell-like structure of the H II region is largely preserved, effects that rely on this symmetry become more important. At the end of the stellar lifetime 1% of the energy released as Lyman continuum radiation and stellar wind has been transferred to the circumstellar gas. From this fraction 10% is kinetic energy of bulk motion, 36% is thermal energy, and the remaining 54% is ionization energy of hydrogen. The sweeping up of the slow red supergiant wind by the fast Wolf-Rayet wind produces remarkable morphological structures and emission signatures, which are compared with existing observations of the Wolf-Rayet bubble S308, whose central star has probably evolved in a manner very similar to our model star. Our model reproduces the correct order of magnitude of observed X-ray luminosity, the temperature of the emitting plasma, and the limb brightening of the intensity profile. This is remarkable, because current analytical and numerical models of Wolf-Rayet bubbles fail to consistently explain these features. A key result is that almost the entire X-ray emission in this stage comes from the shell of red supergiant wind swept up by the shocked Wolf-Rayet wind rather than from the shocked Wolf-Rayet wind itself as hitherto assumed and modeled. This offers a possible solution to what is called the "missing wind problem" of Wolf-Rayet bubbles.

Tim Freyer; Gerhard Hensler; Harold W. Yorke

2006-01-01T23:59:59.000Z

295

Russia - Nato. The military balance.  

E-Print Network [OSTI]

??This project aims to explain how the military balancing of Russia against NATO can be explained from a neoclassical realist framework. The project consists in (more)

Skarequist, Anne

2010-01-01T23:59:59.000Z

296

Distributed generation capabilities of the national energy modeling system  

SciTech Connect (OSTI)

This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. The goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based on the n umber of years to a positive cash flow. Some important technologies, e.g. thermally activated cooling, are absent, and ceilings on DG adoption are determined by some what arbitrary caps on the number of buildings that can adopt DG. These caps are particularly severe for existing buildings, where the maximum penetration for any one technology is 0.25 percent. On the other hand, competition among technologies is not fully considered, and this may result in double-counting for certain applications. A series of sensitivity runs show greater penetration with net metering enhancements and aggressive tax credits and a more limited response to lowered DG technology costs. Discussion of alternatives to the current code is presented in Section 4. Alternatives or improvements to how DG is modeled in NEMS cover three basic areas: expanding on the existing total market for DG both by changing existing parameters in NEMS and by adding new capabilities, such as for missing technologies; enhancing the cash flow analysis but incorporating aspects of DG economics that are not currently represented, e.g. complex tariffs; and using an external geographic information system (GIS) driven analysis that can better and more intuitively identify niche markets.

LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

297

Balancing of Wind Power.  

E-Print Network [OSTI]

?? In the future, renewable energy share, especially wind power share, in electricity generation is expected to increase. Due to nature of the wind, wind (more)

lker, Muhammed Akif

2011-01-01T23:59:59.000Z

298

Balancing Hydronic Systems in Multifamily Buildings  

SciTech Connect (OSTI)

In multifamily hydronic systems, temperature imbalance may be caused by undersized piping, improperly adjusted balancing valves, inefficient water temperature and flow levels, and owner/occupant interaction with the boilers, distribution and controls. The effects of imbalance include tenant discomfort, higher energy use intensity and inefficient building operation. This paper explores cost-effective distribution upgrades and balancing measures in multifamily hydronic systems, providing a resource to contractors, auditors, and building owners on best practices to improve tenant comfort and lower operating costs. The research was conducted by The Partnership for Advanced Residential Retrofit (PARR) in conjunction with Elevate Energy. The team surveyed existing knowledge on cost-effective retrofits for optimizing distribution in typical multifamily hydronic systems, with the aim of identifying common situations and solutions, and then conducted case studies on two Chicago area buildings with known balancing issues in order to quantify the extent of temperature imbalance. At one of these buildings a booster pump was installed on a loop to an underheated wing of the building. This study found that unit temperature in a multifamily hydronic building can vary as much as 61 degrees F, particularly if windows are opened or tenants use intermittent supplemental heating sources like oven ranges. Average temperature spread at the building as a result of this retrofit decreased from 22.1 degrees F to 15.5 degrees F.

Ruch, R.; Ludwig, P.; Maurer, T.

2014-07-01T23:59:59.000Z

299

Assumptions to the Annual Energy Outlook - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumption to the Annual Energy Outlook Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20041 (AEO2004), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every two years. The National Energy Modeling System The projections in the AEO2004 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers in the U.S. Congress, the Administration, including DOE Program Offices, and other government agencies.

300

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20031 (AEO2003), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2003 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

Note: This page contains sample records for the topic "nems balances energy" 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

Model documentation, Coal Market Module of the National Energy Modeling System  

SciTech Connect (OSTI)

This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

NONE

1998-01-01T23:59:59.000Z

302

Jet momentum balance independent of shear viscosity  

E-Print Network [OSTI]

Jet momentum balance measurements, such as those recently performed by the CMS collaboration, provide an opportunity to quantify the energy transferred from a parton shower to the underlying medium in heavy-ion collisions. Specifically, I argue that the Cooper-Frye freezeout distribution associated with the energy and momentum deposited by the parton shower is controlled to a significant extent by the distribution of the underlying bulk matter and independent of the details of how deposited energy is redistributed in the medium, which is largely determined by transport coefficients such as shear viscosity. Thus by matching the distribution of momentum associated with the secondary jet in such measurements to the thermal distribution of the underlying medium, one can obtain a model independent estimate on the amount of parton shower energy deposited.

R. B. Neufeld

2011-08-31T23:59:59.000Z

303

Model documentation Coal Market Module of the National Energy Modeling System  

SciTech Connect (OSTI)

This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.

NONE

1996-04-30T23:59:59.000Z

304

Model documentation Renewable Fuels Module of the National Energy Modeling System  

SciTech Connect (OSTI)

This report documents the objectives, analaytical approach and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1996 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described.

NONE

1996-01-01T23:59:59.000Z

305

Biofuels: balancing risks and rewards  

Science Journals Connector (OSTI)

...2013 research-article Articles 1004 69 Biofuels, science and society Organized by Chris Greenwell Biofuels: balancing risks and rewards Patricia...One contribution of 9 to a Theme Issue Biofuels, science and society . This paper describes...

2013-01-01T23:59:59.000Z

306

ENERGY CENTER OF WISCONSIN  

E-Print Network [OSTI]

ENERGY CENTER OF WISCONSIN Report Summary 210-1 Life-Cycle Energy Costs and Greenhouse Gas report energy center Net energy balance and greenhouse gas emissions from renewable energy storage systems June 2003 223-1 #12;ECW Report Number 223-1 Net energy balance and greenhouse gas emissions from

307

Balanced Scorecard Program | Department of Energy  

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

In government, and for DOE's major contractors, this perspective captures cost efficiency, delivering maximum value to the customer for each dollar spent. Internal...

308

International energy outlook 1996  

SciTech Connect (OSTI)

This International Energy Outlook presents historical data from 1970 to 1993 and EIA`s projections of energy consumption and carbon emissions through 2015 for 6 country groups. Prospects for individual fuels are discussed. Summary tables of the IEO96 world energy consumption, oil production, and carbon emissions projections are provided in Appendix A. The reference case projections of total foreign energy consumption and of natural gas, coal, and renewable energy were prepared using EIA`s World Energy Projection System (WEPS) model. Reference case projections of foreign oil production and consumption were prepared using the International Energy Module of the National Energy Modeling System (NEMS). Nuclear consumption projections were derived from the International Nuclear Model, PC Version (PC-INM). Alternatively, nuclear capacity projections were developed using two methods: the lower reference case projections were based on analysts` knowledge of the nuclear programs in different countries; the upper reference case was generated by the World Integrated Nuclear Evaluation System (WINES)--a demand-driven model. In addition, the NEMS Coal Export Submodule (CES) was used to derive flows in international coal trade. As noted above, foreign projections of electricity demand are now projected as part of the WEPS. 64 figs., 62 tabs.

NONE

1996-05-01T23:59:59.000Z

309

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7 7 1 (AEO2007), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant to formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports. 2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview 3 , which is updated once every few years. The National Energy Modeling System The projections in the AEO2007 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and

310

The National Energy Modeling System: An Overview 2000 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic assessment at EIA involves several modes of analysis. The first type of analysis, used in forecasting the Annual Energy Outlook where energy prices change, uses kernel regression and response surface techniques to mimic the response of larger macroeconomic and industrial models. This mode of analysis requires a given economic baseline and then calculates the economic impacts of changing energy prices, calculated from the chosen growth path. The economic growth cases are derived from the larger core models and can reflect either high, low, or reference case growth assumptions. Analyzing economic impacts from energy price changes uses the macroeconomic activity module (MAM) within NEMS and provides a subset of the macroeconomic variables available in the larger core models. The composition of the subset is determined by the other energy modules in NEMS, as they use various macroeconomic concepts as assumptions to their particular energy model.

311

EIA - The National Energy Modeling System: An Overview 2003 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview 2003 Preface The National Energy Modeling System: An Overview 2003 provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003 (AEO2003), (DOE/EIA-0383(2003)), released in January 2003. AEO2003 presents national forecasts of energy markets for five primary cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

312

International Energy Outlook 1999  

Gasoline and Diesel Fuel Update (EIA)

ieo99cvr.gif (8385 bytes) ieo99cvr.gif (8385 bytes) Preface This report presents international energy projections through 2020, prepared by the Energy Information Administration. The outlooks for major energy fuels are discussed, along with electricity, transportation, and environmental issues. The International Energy Outlook 1999 (IEO99) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2020. The report is an extension of EIA’s Annual Energy Outlook 1999 (AEO99), which was prepared using the National Energy Modeling System (NEMS). U.S. projections appearing in IEO99 are consistent with those published in AEO99. IEO99 is provided as a statistical service to energy managers and analysts, both in government and in the private

313

Current balancing for battery strings  

DOE Patents [OSTI]

A battery plant is described which features magnetic circuit means for balancing the electrical current flow through a pluraliircuitbattery strings which are connected electrically in parallel. The magnetic circuit means is associated with the battery strings such that the conductors carrying the electrical current flow through each of the battery strings pass through the magnetic circuit means in directions which cause the electromagnetic fields of at least one predetermined pair of the conductors to oppose each other. In an alternative embodiment, a low voltage converter is associated with each of the battery strings for balancing the electrical current flow through the battery strings.

Galloway, James H. (New Baltimore, MI)

1985-01-01T23:59:59.000Z

314

Green Pricing Program Marketing Expenditures: Finding the Right Balance  

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

449 449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-46449 September 2009 Green Pricing Program Marketing Expenditures: Finding the Right Balance Barry Friedman and Mackay Miller Prepared under Task No. SAO9.3003 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any

315

International Energy Outlook 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 (IEO2006) presents an assessment by the Energy Information Administra- tion (EIA) of the outlook for international energy mar- kets through 2030. U.S. projections appearing in IEO2006 are consistent with those published in EIA's Annual Energy Outlook 2006 (AEO2006), which was pre- pared using the National Energy Modeling System (NEMS). IEO2006 is provided as a service to energy managers and analysts, both in government and in the private sector. The projections are used by international agencies, Federal and State governments, trade associa- tions, and other planners and decisionmakers. They are published pursuant to the Department of Energy Orga- nization Act of 1977 (Public Law 95-91), Section 205(c). IEO2006 focuses exclusively on marketed energy. Non- marketed energy sources, which continue to play an important role in some developing countries, are not included

316

Women @ Energy: Carrie Milton | Department of Energy  

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

Carrie Milton Carrie Milton Women @ Energy: Carrie Milton March 28, 2013 - 10:15am Addthis Carrie Milton is an operations research analyst for the Office of Electricity, Coal, Nuclear, and Renewables Analysis at the U.S. Energy Information Administration. Carrie Milton is an operations research analyst for the Office of Electricity, Coal, Nuclear, and Renewables Analysis at the U.S. Energy Information Administration. Check out other profiles in the Women @ Energy series and share your favorites on Pinterest. Carrie Milton is an operations research analyst for the Office of Electricity, Coal, Nuclear, and Renewables Analysis at the U.S. Energy Information Administration. Her work involves incorporating collected data from multiple sources into the National Energy Modeling System (NEMS)

317

The National Energy Modeling System: An Ocerview 2000 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases—a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.

318

The National Energy Modeling System: An Overview 1998 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

RESIDENTIAL DEMAND MODULE RESIDENTIAL DEMAND MODULE blueball.gif (205 bytes) Housing Stock Submodule blueball.gif (205 bytes) Appliance Stock Submodule blueball.gif (205 bytes) Technology Choice Submodule blueball.gif (205 bytes) Shell Integrity Submodule blueball.gif (205 bytes) Fuel Consumption Submodule The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar thermal and geothermal energy. The RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of the RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts,

319

Assumptions to the Annual Energy Outlook 2001 - Footnotes  

Gasoline and Diesel Fuel Update (EIA)

Feedback Feedback Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage FOOTNOTES [1] Energy Information Administration, Annual Energy Outlook 2001 (AEO2001), DOE/EIA-0383(2001), (Washington, DC, December 2000). [2] NEMS documentation reports are available on the EIA CD-ROM and the EIA Homepage (http://www.eia.gov/bookshelf.html). For ordering information on the CD-ROM, contact STAT-USA's toll free order number: 1-800-STAT-USA or by calling (202) 482-1986. [3] Energy Information Administration, The National Energy Modeling System: An Overview 2000, DOE/EIA-0581(2000), (Washington, DC, March 2000). [4] The underlying macroeconomic growth cases use Standard and Poor’s DRI February 2000 T250200 and February TO250299 and TP250299.

320

2. System boundaries; Balance equations  

E-Print Network [OSTI]

;5/28 Systems and boundaries /3 An isolated system is a special kind of closed system Pictures: KJ05 Q = heat W Example: an electric hot water heater in a house ­ The electric heater is a closed system ­ The water1/28 2. System boundaries; Balance equations Ron Zevenhoven ?bo Akademi University Thermal and flow

Zevenhoven, Ron

Note: This page contains sample records for the topic "nems balances energy" 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

Burner balancing Salem Harbor Station  

SciTech Connect (OSTI)

The traditional method of burner balancing is first to determine the fuel distribution, then to measure the economizer outlet excess oxygen distribution and to adjust the burners accordingly. Fuel distribution is typically measured by clean and dirty air probing. Coal pipe flow can then be adjusted, if necessary, through the use of coal pipe orificing or by other means. Primary air flow must be adjusted to meet the design criteria of the burner. Once coal pipe flow is balanced to within the desired criteria, secondary air flow to individual burners can be changed by adjusting windbox dampers, burner registers, shrouds or other devices in the secondary air stream. This paper discusses problems encountered in measuring excess O{sub 2} at the economizer outlet. It is important to recognize that O{sub 2} measurements at the economizer outlet, by themselves, can be very misleading. If measurement problems are suspected or encountered, an alternate approach similar to that described should be considered. The alternate method is not only useful for burner balancing but also can be used to help in calibrating the plant excess O{sub 2} instruments and provide an on line means of cross-checking excess air measurements. Balanced burners operate closer to their design stoichiometry, providing better NO{sub x} reduction. For Salem Harbor Station, this means a significant saving in urea consumption.

Sload, A.W. [New England Power Co., Salem, MA (United States); Dube, R.J. [DB Riley, Inc., Worcester, MA (United States). Fuel Equipment Design

1995-12-31T23:59:59.000Z

322

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20001 (AEO2000), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2000 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy, other DOE offices, and other government agencies.

323

On Achieving Balanced Power Consumption in Software Pipelined Loops #  

E-Print Network [OSTI]

. The benchmarks are executed on the Wattch power simulator. In comparison to the original (powerOn Achieving Balanced Power Consumption in Software Pipelined Loops # Hongbo Yang Dept of ECE Univ@capsl.udel.edu ABSTRACT While a significant body of work in compilers has been de­ voted to reducing energy consumption

Gao, Guang R.

324

Directory of Energy Information Administration Models 1993  

SciTech Connect (OSTI)

This directory contains descriptions about each model, including the title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included in this directory are 35 EIA models active as of May 1, 1993. Models that run on personal computers are identified by ``PC`` as part of the acronym. EIA is developing new models, a National Energy Modeling System (NEMS), and is making changes to existing models to include new technologies, environmental issues, conservation, and renewables, as well as extend forecast horizon. Other parts of the Department are involved in this modeling effort. A fully operational model is planned which will integrate completed segments of NEMS for its first official application--preparation of EIA`s Annual Energy Outlook 1994. Abstracts for the new models will be included in next year`s version of this directory.

Not Available

1993-07-06T23:59:59.000Z

325

Directory of energy information administration models 1995  

SciTech Connect (OSTI)

This updated directory has been published annually; after this issue, it will be published only biennially. The Disruption Impact Simulator Model in use by EIA is included. Model descriptions have been updated according to revised documentation approved during the past year. This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included are 37 EIA models active as of February 1, 1995. The first group is the National Energy Modeling System (NEMS) models. The second group is all other EIA models that are not part of NEMS. Appendix A identifies major EIA modeling systems and the models within these systems. Appendix B is a summary of the `Annual Energy Outlook` Forecasting System.

NONE

1995-07-13T23:59:59.000Z

326

Annual Energy Outlook 2000  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Preface The Annual Energy Outlook 2000 (AEO2000) presents midterm forecasts of energy supply, demand, and prices through 2020 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA’s National Energy Modeling System (NEMS). The report begins with an “Overview” summarizing the AEO2000 reference case. The next section, “Legislation and Regulations,” describes the assumptions made with regard to laws that affect energy markets and discusses evolving legislative and regulatory issues. “Issues in Focus” discusses current energy issues—appliance standards, gasoline and diesel fuel standards, natural gas industry expansion, competitive electricity pricing, renewable portfolio standards, and carbon emissions. It is followed by the analysis of energy market trends.

327

RESEARCH Open Access Short and long-term carbon balance of bioenergy  

E-Print Network [OSTI]

, and the occurrence and intensity of a future wildfire in this stand. In this study we investigate the carbon balance is a carbon intensive energy source; in our study we find that carbon emissions from bioenergy electricityRESEARCH Open Access Short and long-term carbon balance of bioenergy electricity production fueled

328

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

link.gif (1946 bytes) link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Supplemental Tables to the AEO99 bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage introduction.gif (4117 bytes) This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 19991 (AEO99), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3

329

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

330

Assumptions to the Annual Energy Outlook 2001 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Comleted Copy in PDF Format Comleted Copy in PDF Format Related Links Annual Energy Outlook 2001 Supplemental Data to the AEO 2001 NEMS Conference To Forecasting Home Page EIA Homepage Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The

331

Balanced Atmospheric Response to Squall Lines  

Science Journals Connector (OSTI)

When a Squall line propagates through the atmosphere, it not only excite transient gravityinertia wave motion but also produces more permanent modifications to the large-scale balanced flow. Here we calculate this balanced response using the is ...

Wayne H. Schubert; Scott R. Fulton; Rolf F. A. Herttenstein

1989-08-01T23:59:59.000Z

332

Balancing energy conservation and occupant needs in ventilation rate standards for Big Box stores and other commercial buildings in California: Issues related to the ASHRAE 62.1 Indoor Air Quality Procedure  

E-Print Network [OSTI]

of Energy Use Intensity (EUI) predicted with building energyEnergyPlus 2.1 program. The EUI is the annual energy use per2008) provide the predicted EUI values while Benne et al (

Mendell, Mark

2014-01-01T23:59:59.000Z

333

The National Energy Modeling System: An Overview 1998 - Appendix:  

Gasoline and Diesel Fuel Update (EIA)

APPENDIX: APPENDIX: BIBLIOGRAPHY The National Energy Modeling System is documented in a series of model documentation reports, available by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, National Energy Modeling System Integrating Module Documentation Report, DOE/EIA-M057(97) (Washington, DC, May 1997). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(97) (Washington, DC, December 1996). Energy Information Administration, Model Developer's Appendix to the Model Documentation Report: NEMS Macroeconomic Activity Module, DOE/EIA-M065A (Washington, DC, July 1994). Energy Information Administration, Documentation of the DRI Model of the

334

Balancing Item (Billion Cubic Feet)  

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

Balancing Item (Billion Cubic Feet) Balancing Item (Billion Cubic Feet) Balancing Item (Billion Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 140 143 41 166 30 -13 -8 -6 -26 -133 -76 -161 2002 -4 38 11 164 28 95 54 49 8 -124 -126 -129 2003 -86 76 118 43 30 16 80 57 12 -49 -136 -118 2004 -66 134 126 133 116 71 58 60 63 -13 -79 -142 2005 -41 104 14 131 60 58 62 66 59 -37 -114 -127 2006 49 -2 80 152 53 41 34 51 -2 -99 -101 -153 2007 -128 55 118 42 63 34 3 24 -3 -52 -185 -175 2008 -75 54 59 105 38 42 23 29 16 -51 -106 -132 2009 -21 104 59 52 30 -7 17 -1 -5 -92 -66 -173 2010 -46 9 109 102 19 61 2 16 21 -42 -61 -73 2011 -24 20 -4 17 -7 -11 17 7 36 -61 -32 -51

335

appg.vp:CorelVentura 7.0  

Gasoline and Diesel Fuel Update (EIA)

1999 1999 (AEO99) are generated with the National Energy Modeling System (NEMS), developed and main- tained by the Office of Integrated Analysis and Fore- casting of the Energy Information Administration (EIA). In addition to its use in the development of the AEO projections, NEMS is also used in analyti- cal studies for the U.S. Congress and other offices within the Department of Energy. The AEO fore- casts are also used by analysts and planners in other government agencies and outside organizations. The projections in NEMS are developed with the use of a market-based approach to energy analysis. For each fuel and consuming sector, NEMS balances the energy supply and demand, accounting for the economic competition between the various energy fuels and sources. The time horizon of NEMS is the midterm period, approximately 20 years in the future. In order to represent the regional differences

336

Annual energy outlook 1997 with projections to 2015  

SciTech Connect (OSTI)

The Annual Energy Outlook 1997 (AEO97) presents midterm forecasts of energy supply, demand, and prices through 2015 prepared by the Energy Information Administration (EIA). These projections are based on results of EIA`s National Energy Modeling System (NEMS). This report begins with a summary of the reference case, followed by a discussion of the legislative assumptions and evolving legislative and regulatory issues. ``Issues in Focus`` discusses emerging energy issues and other topics of particular interest. It is followed by the analysis of energy market trends. The analysis in AEO97 focuses primarily on a reference case and four other cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. Forecast tables for these cases are provided in Appendixes A through C. Appendixes D and E present summaries of the reference case forecasts in units of oil equivalence and household energy expenditures. Twenty-three other cases explore the impacts of varying key assumptions in NEMS--generally, technology penetration, with the major results shown in Appendix F. Appendix G briefly describes NEMS and the major AEO97 assumptions, with a summary table. 114 figs., 22 tabs.

NONE

1996-12-01T23:59:59.000Z

337

Improved Image Fusion Using Balanced Multiwavelets  

E-Print Network [OSTI]

Improved Image Fusion Using Balanced Multiwavelets Lahouari Ghouti, Ahmed Bouridane and Mohammad K. Ibrahim Abstract-- This paper presents the use of balanced multi- wavelets for image fusion. The proposed image fusion scheme incorporates the use of balanced multiwavelets transform, which uses multiple

Ghouti, Lahouari

338

International Energy Outlook 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 (IEO2007) presents an assessment by the Energy Information Admin- istration (EIA) of the outlook for international energy markets through 2030. U.S. projections appearing in IEO2007 are consistent with those published in EIA's Annual Energy Outlook 2007 (AEO2007), which was pre- pared using the National Energy Modeling System (NEMS). IEO2007 is provided as a service to energy managers and analysts, both in government and in the private sector. The projections are used by international agencies, Federal and State governments, trade associa- tions, and other planners and decisionmakers. They are published pursuant to the Department of Energy Orga- nization Act of 1977 (Public Law 95-91), Section 205(c). Projections in IEO2007 are divided according to Organi- zation for Economic Cooperation and Development members (OECD) and non-members (non-OECD). There are

339

Annual Energy Outlook 2001  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Annual Energy Outlook 2001 With Projections to 2020 Preface The Annual Energy Outlook 2001 (AEO2001) presents midterm forecasts of energy supply, demand, and prices through 2020 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA’s National Energy Modeling System (NEMS). The report begins with an “Overview” summarizing the AEO2001 reference case. The next section, “Legislation and Regulations,” discusses evolving legislative and regulatory issues. “Issues in Focus” discusses the macroeconomic projections, world oil and natural gas markets, oxygenates in gasoline, distributed electricity generation, electricity industry restructuring, and carbon dioxide emissions. It is followed by the analysis of energy market trends.

340

International Energy Outlook 2006 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface International Energy Outlook 2006 Preface This report presents international energy projections through 2030, prepared by the Energy Information Administration, including outlooks for major energy fuels and associated carbon dioxide emissions. The International Energy Outlook 2006 (IEO2006) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2030. U.S. projections appearing in IEO2006 are consistent with those published in EIA’s Annual Energy Outlook 2006 (AEO2006), which was prepared using the National Energy Modeling System (NEMS). IEO2006 is provided as a service to energy managers and analysts, both in government and in the private sector. The projections are used by international agencies, Federal and State governments, trade

Note: This page contains sample records for the topic "nems balances energy" 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

Available Balance Report Revised 12/2008 Page 1 Available Balance Report  

E-Print Network [OSTI]

Available Balance Report ­ Revised 12/2008 Page 1 Available Balance Report The "Available Balance Report" shows total Budget, Encumbrance, Expense, and Available Balance detailed by Budgetary Account of the resources they have available as of a point in time. This report is also used by the Budget Office

Weston, Ken

342

User-guided White Balance for Mixed Lighting Conditions Ivaylo Boyadzhiev  

E-Print Network [OSTI]

(daylight + neon un- der the cabinets + low-energy bulbs on ceiling) ex- hibits unsightly color casts a solution to the ill-posed mixed light white balance problem, based on user guidance. Users scribble

Bala, Kavita

343

E-Print Network 3.0 - attributes balancing stability Sample Search...  

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

Point out some... units of energy input from the Sun Temperature: 5.3 oC Greenhouse Effect 101: A Balance is Achieved Source: Blais, Brian - Department of Science and...

344

EIA - The National Energy Modeling System: An Overview 2003-Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The National Energy Modeling System: An Overview 2003 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) links NEMS to the rest of the economy by providing projections of economic driver variables for use by the supply, demand, and conversion modules of NEMS. The derivation of the baseline macroeconomic forecast lays a foundation for the determination of the energy demand and supply forecast. MAM is used to present alternative macroeconomic growth cases to provide a range of uncertainty about the growth potential for the economy and its likely consequences for the energy system. MAM is also able to address the macroeconomic impacts associated with changing energy market conditions, such as alternative world oil price assumptions. Outside of the Annual Energy Outlook setting, MAM represents a system of linked modules which can assess the potential impacts on the economy of changes in energy events or policy proposals. These economic impacts then feed back into NEMS for an integrated solution. MAM consists of five modules:

345

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

Gasoline and Diesel Fuel Update (EIA)

available in PDF available in PDF Levelized Cost of New Generation Resources in the Annual Energy Outlook 2013 Release date: January 28, 2013 This paper presents average levelized costs for generating technologies that are brought on line in 20181 as represented in the National Energy Modeling System (NEMS) for the Annual Energy Outlook 2013 (AEO2013) Early Release Reference case.2 Both national values and the minimum and maximum values across the 22 U.S. regions of the NEMS electricity market module are presented. Levelized cost is often cited as a convenient summary measure of the overall competiveness of different generating technologies. It represents the per-kilowatthour cost (in real dollars) of building and operating a generating plant over an assumed financial life and duty cycle. Key inputs

346

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

Gasoline and Diesel Fuel Update (EIA)

‹ Analysis & Projections ‹ Analysis & Projections AEO2013 Early Release Overview Release Date: December 5, 2012 | Full Report Release Date: Spring 2013 | Report Number: DOE/EIA-0383ER(2013) available in PDF Levelized Cost of New Generation Resources in the Annual Energy Outlook 2013 Release date: January 28, 2013 This paper presents average levelized costs for generating technologies that are brought on line in 20181 as represented in the National Energy Modeling System (NEMS) for the Annual Energy Outlook 2013 (AEO2013) Early Release Reference case.2 Both national values and the minimum and maximum values across the 22 U.S. regions of the NEMS electricity market module are presented. Levelized cost is often cited as a convenient summary measure of the overall competiveness of different generating technologies. It represents

347

Model documentation renewable fuels module of the National Energy Modeling System  

SciTech Connect (OSTI)

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1995 Annual Energy Outlook (AEO95) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. The RFM consists of six analytical submodules that represent each of the major renewable energy resources--wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. The RFM also reads in hydroelectric facility capacities and capacity factors from a data file for use by the NEMS Electricity Market Module (EMM). The purpose of the RFM is to define the technological, cost and resource size characteristics of renewable energy technologies. These characteristics are used to compute a levelized cost to be competed against other similarly derived costs from other energy sources and technologies. The competition of these energy sources over the NEMS time horizon determines the market penetration of these renewable energy technologies. The characteristics include available energy capacity, capital costs, fixed operating costs, variable operating costs, capacity factor, heat rate, construction lead time, and fuel product price.

NONE

1995-06-01T23:59:59.000Z

348

Experiments with a time-dependent, zonally averaged, seasonal, enery balance climatic model  

E-Print Network [OSTI]

EXPERIMENTS WITH A TI&E-DEPENDENT, ZONALLY AVERAGED, SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the decree... of MASTER OF SCIENCE December 1977 Major Subject: Meteorology EXPERIMENTS WITH A TIME DEPENDENT~ ZONALLY AVERAGED~ SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Approved as to style and content by: (Chairman of Committee...

Thompson, Starley Lee

2012-06-07T23:59:59.000Z

349

Balancing oil and environment... responsibly.  

SciTech Connect (OSTI)

Balancing Oil and EnvironmentResponsibly As the price of oil continues to skyrocket and global oil production nears the brink, pursuing unconventional oil supplies, such as oil shale, oil sands, heavy oils, and oils from biomass and coal has become increasingly attractive. Of particular significance to the American way is that our continent has significant quantities of these resources. Tapping into these new resources, however, requires cutting-edge technologies for identification, production, processing and environmental management. This job needs a super hero or two for a job of this size and proportion

Weimer, Walter C.; Teske, Lisa

2007-01-25T23:59:59.000Z

350

International Energy Outlook 2001 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface picture of a printer Printer Friendly Version (PDF) This report presents international energy projections through 2020, prepared by the Energy Information Administration, including outlooks for major energy fuels and issues related to electricity, transportation, and the environment. The International Energy Outlook 2001 (IEO2001) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2020. The report is an extension of the EIA’s Annual Energy Outlook 2001 (AEO2001), which was prepared using the National Energy Modeling System (NEMS). U.S. projections appearing in the IEO2001 are consistent with those published in the AEO2001. IEO2001 is provided as a statistical service to energy managers and analysts, both in

351

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA's Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA's Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). Table of Contents Projection Tables Reference Case High Economic Growth Case Low Economic Growth Case Reference Case Projections by End-Use Sector and Region Projections of Oil Production Capacity and Oil Production in Three Cases Projections of Nuclear Generating Capacity Highlights World Energy and Economic Outlook Outlook for World Energy Consumption World Economic Outlook Alternative Growth Cases

352

EIA - Assumptions to the Annual Energy Outlook 2009 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2009 International Energy Module Figure 2. World Oil Prices in three Cases, 1995-2030 (2006 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids

353

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

6 6 Assumptions to the Annual Energy Outlook 2006 This report presents major assumptions of NEMS that are used to generate the projections in the AEO2006. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800.

354

Energy Information Administration (EIA) - International Energy Outlook 2006  

Gasoline and Diesel Fuel Update (EIA)

International Energy Outlook 2006 International Energy Outlook 2006 International Energy Outlook 2006 The International Energy Outlook 2006 (IEO2006) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2030. U.S. projections appearing in IEO2006 are consistent with those published in EIA's Annual Energy Outlook 2006 (AEO2006), which was prepared using the National Energy Modeling System (NEMS). Projection Tables Appendix A: Reference Case Appendix B: High Economic Growth Case Appendix C: Low Economic Growth Case Appendix D: Reference Case Projections by End-Use Sector and Region Appendix E: Projections of Oil Production Capacity and Oil Production in Three Cases Appendix F: Reference Case Projections for Electricity Capacity and Generation by Fuel

355

Selling Random Energy  

E-Print Network [OSTI]

wind power production in the BPA balancing authority. Thethe wind farms. Source: BPA, 2008 (b) Histograms depictingunscheduled wind energy on the BPA system, 3rd Workshop on

Bitar, Eilyan Yamen

2011-01-01T23:59:59.000Z

356

Model documentation: Renewable Fuels Module of the National Energy Modeling System  

SciTech Connect (OSTI)

This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it related to the production of the 1994 Annual Energy Outlook (AEO94) forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves two purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. The RFM consists of six analytical submodules that represent each of the major renewable energy resources -- wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. Of these six, four are documented in the following chapters: municipal solid waste, wind, solar and biofuels. Geothermal and wood are not currently working components of NEMS. The purpose of the RFM is to define the technological and cost characteristics of renewable energy technologies, and to pass these characteristics to other NEMS modules for the determination of mid-term forecasted renewable energy demand.

Not Available

1994-04-01T23:59:59.000Z

357

Factors affecting balanced scorecard usage  

Science Journals Connector (OSTI)

The paper aims to focus on antecedents of the individual-level determinants of the model as opposed to firm-level determinants and how this might contribute to greater understanding for the implementation of the balanced scorecard (BSC). The paper is based on an empirical study of the data collected using the Dunn and Bradstreet database through a survey questionnaire. The analysis of the data shows that the awareness of BSC capabilities is positively associated with the adoption of the BSC. This is the most important variable leading to the adoption of the BSC by the sample companies. The current research has tried to make use of and discussed the available research in this area and has provided an antecedent to and direction for the implementation of the BSC. Though more empirical research is needed to generalise the findings, the current research has identified some factors and future research that may be undertaken in that direction.

Majidul Islam; Yi-Feng Yang; Yu-Jia Hu; Cheng-Se Hsu

2014-01-01T23:59:59.000Z

358

Balancing people, plants, and practices  

SciTech Connect (OSTI)

Two of the biggest challenges facing the US power industry today are retaining an experienced, capable workforce and operating and maintaining a reliable, diversified fleet of generating plants. Success in the marketplace requires a proper balancing of staff and new technology, something few gencos do well. Following this introductory paper in this issue are several technical articles representing a small sample of the steps that gencos nationwide are taking to prolong plant life. Unlike the false promise of Ponce de Leon's fountain of youth in Florida, the promise of longer life for aging plants is real wherever experienced engineers and technicians are on the job. The article looks at problems across America, from the East Coast to the West Coast. It is supported by diagrams projecting US new capacity and plant type additions up to 2014. 5 figs.

Peltier, R.

2006-04-15T23:59:59.000Z

359

International Energy Outlook - Table of Contents  

Gasoline and Diesel Fuel Update (EIA)

International Energy Outlook International Energy Outlook EIA Glossary International Energy Outlook 2004 Report #: DOE/EIA-0484(2004) Release date: April 2004 Next release date: July 2005 The International Energy Outlook 2004 (IEO2004) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S.projections appearing in IEO2004 are consistent with those published in EIA's Annual Energy Outlook 2004 (AEO2004), which was prepared using the National Energy Modeling System (NEMS). Table of Contents Appendixes Highlights World Energy and Economic Outlook Outlook for Primary Energy Consumption Energy End Use Outlook for Carbon Dioxide Emissions World Economic Outlook Alternative Growth Case Trends in Energy Intensity

360

Scenarios for Benefits Analysis of Energy Research, Development,Demonstration and Deployment  

SciTech Connect (OSTI)

For at least the last decade, evaluation of the benefits of research, development, demonstration, and deployment (RD3) by the U.S. Department of Energy has been conducted using deterministic forecasts that unrealistically presume we can precisely foresee our future 10, 25,or even 50 years hence. This effort tries, in a modest way, to begin a process of recognition that the reality of our energy future is rather one rife with uncertainty. The National Energy Modeling System (NEMS) is used by the Department of Energy's Office of Energy Efficiency and Renewable Energy (EE) and Fossil Energy (FE) for their RD3 benefits evaluation. In order to begin scoping out the uncertainty in these deterministic forecasts, EE and FE designed two futures that differ significantly from the basic NEMS forecast. A High Fuel Price Scenario and a Carbon Cap Scenario were envisioned to forecast alternative futures and the associated benefits. Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) implemented these scenarios into its version of NEMS,NEMS-LBNL, in late 2004, and the Energy Information Agency created six scenarios for FE in early 2005. The creation and implementation of the EE-FE scenarios are explained in this report. Both a Carbon Cap Scenario and a High Fuel Price Scenarios were implemented into the NEMS-LBNL. EIA subsequently modeled similar scenarios using NEMS. While the EIA and LBNL implementations were in some ways rather different, their forecasts do not significantly diverge. Compared to the Reference Scenario, the High Fuel Price Scenario reduces energy consumption by 4 percent in 2025, while in the EIA fuel price scenario (known as Scenario 4) reduction from its corresponding reference scenario (known as Scenario 0) in 2025 is marginal. Nonetheless, the 4 percent demand reduction does not lead to other cascading effects that would significantly differentiate the two scenarios. The LBNL and EIA carbon scenarios were mostly identical. The only major difference was that LBNL started working with the AEO 2004NEMS code and EIA was using AEO 2005 NEMS code. Unlike the High Price Scenario the Carbon Cap scenario gives a radically different forecast than the Reference Scenario. NEMS-LBNL proved that it can handle these alternative scenarios. However, results are price inelastic (for both oil and natural gas prices) within the price range evaluated. Perhaps even higher price paths would lead to a distinctly different forecast than the Reference Scenario. On the other hand, the Carbon Cap Scenario behaves more like an alternative future. The future in the Carbon Cap Scenario has higher electricity prices, reduced driving, more renewable capacity, and reduced energy consumption. The next step for this work is to evaluate the EE benefits under each of the three scenarios. Comparing those three sets of predicted benefits will indicate how much uncertainty is inherent within this sort of deterministic forecasting.

Gumerman, Etan; Marnay, Chris

2005-09-07T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

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

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases Table E1. Summary of the AEO2011 cases Reference Baseline economic growth (2.7 percent per year from 2009 through 2035), world oil price, and technology assumptions. Complete projection tables in Appendix A. World light, sweet crude oil prices rise to about $125 per barrel by 2035 in year 2009 dollars. Assumes RFS target to be met as soon as possible. Fully integrated Low Economic Growth Real GDP grows at an average annual rate of 2.1 percent from 2009 to 2035. Other energy market assumptions are the same as in the Reference case. Partial projection tables in Appendix B. Fully integrated High Economic Growth Real GDP grows at an average annual rate of 3.2 percent from 2009 to 2035. Other energy market assumptions are the same as in the Reference case. Partial projection tables in Appendix B. Fully integrated

362

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

2 2 The commercial module forecasts consumption by fuel 13 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 14 for eleven building categories 15 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

363

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

Gasoline and Diesel Fuel Update (EIA)

NEMS overview and brief description of cases NEMS overview and brief description of cases Table E1. Summary of the AEO2012 cases Reference Baseline economic growth (2.5 percent per year from 2010 through 2035), oil price, and technology assumptions. Complete projection tables in Appendix A. Light, sweet crude oil prices rise to about $145 per barrel (2010 dollars) in 2035. Assumes RFS target to be met as soon as possible. Low Economic Growth Real GDP grows at an average annual rate of 2.0 percent from 2010 to 2035. Other energy market assumptions are the same as in the Reference case. Partial projection tables in Appendix B.. High Economic Growth Real GDP grows at an average annual rate of 3.0 percent from 2010 to 2035. Other energy market assumptions are the same as in the Reference case. Partial projection tables in Appendix B.

364

Energy Crops and their Implications on Surface Energy  

E-Print Network [OSTI]

Energy Crops and their Implications on Surface Energy and Water Balance Yang Song Rahul Barman Phenological differences Variation in water and thermal energy consumption #12;Objectives Examine potential crops on energy and water balance Temporal and spatial patterns of · Evapotranspiration · Radiation

Jain, Atul K.

365

The National Energy Modeling System: An Overview 2000 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. Figure 5. Residential Demand Module Structure RDM incorporates the effects of four broadly-defined determinants of energy consumption: economic and demographic effects, structural effects, technology turnover and advancement effects, and energy market effects. Economic and demographic effects include the number, dwelling type (single-family, multi-family or mobile homes), occupants per household, and location of housing units. Structural effects include increasing average dwelling size and changes in the mix of desired end-use services provided by energy (new end uses and/or increasing penetration of current end uses, such as the increasing popularity of electronic equipment and computers). Technology effects include changes in the stock of installed equipment caused by normal turnover of old, worn out equipment with newer versions which tend to be more energy efficient, the integrated effects of equipment and building shell (insulation level) in new construction, and in the projected availability of even more energy-efficient equipment in the future. Energy market effects include the short-run effects of energy prices on energy demands, the longer-run effects of energy prices on the efficiency of purchased equipment and the efficiency of building shells, and limitations on minimum levels of efficiency imposed by legislated efficiency standards.

366

Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1  

SciTech Connect (OSTI)

The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

NONE

1998-01-01T23:59:59.000Z

367

Energy efficiency improvement and cost saving opportunities for the Corn Wet Milling Industry: An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network [OSTI]

1995). Estimating the Net Energy Balance of Corn Ethanol. Anfood industry. After corn, energy is the second largestManufacturing Processes and Energy Use Corn wet milling is

Galitsky, Christina; Worrell, Ernst; Ruth, Michael

2003-01-01T23:59:59.000Z

368

Life of Sugar: Developing Lifecycle Methods to Evaluate the Energy and Environmental Impacts of Sugarcane Biofuels  

E-Print Network [OSTI]

2003). The energy balance of corn ethanol revisited. . . . -Energy and Greenhouse Gas Emission Impacts of Different Corn

Gopal, Anand Raja

2011-01-01T23:59:59.000Z

369

Energy and the Evolution of World-Systems: Fueling Power and Environmental Degradation, 1800-2008  

E-Print Network [OSTI]

IEA. ______. 2010a. World Energy Statistics and Balances.World GDP and Energy Consumption 107 4.3 Descriptive Statistics

Lawrence, Kirk Steven

2011-01-01T23:59:59.000Z

370

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

T T he NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 25 data.

371

EIA - Assumptions to the Annual Energy Outlook 2010  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2010 This report summarizes the major assumptions used in the NEMS to generate the AEO2010 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions Download the Report Assumptions to the Annual Energy Outlook 2010 Report Cover. Need help, contact the National Energy Information Center at 202-586-8800.

372

Assumptions to the Annual Energy Outlook 2002 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated

373

FY 2007 Report on Uncosted Balances  

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

Report on Uncosted Balances Report on Uncosted Balances For Fiscal Year Ended September 30,2007 August 2008 Prepared by: Office of the Chief Financial Officer TABLE OF CONTENTS Purpose.. . . . : . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . .. . .. . .. . . . . . . . , . . , . , , . . . . , Executive Summary ... . . . .. . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . ... . . .... .. .... .... .. Threshold Analysis - Approach and Background ................... . .... .. Composition of FY 2007 Year-End Uncosted Obligations ..... .. . . . . . Explanation of Significant Threshold Variances ... ... .. . . . . . .. . .. .. . . . . . List of Acronyms.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

374

Detailed balance limit of power conversion efficiency for organic photovoltaics  

SciTech Connect (OSTI)

A fundamental difference between inorganic photovoltaic (IPV) and organic photovoltaic (OPV) cells is that charges are generated at the interface in OPV cells, while free charges can be generated in the bulk in IPV cells. In OPV cells, charge generation involves intrinsic energy losses to dissociate excitons at the interface between the donor and acceptor. By taking into account the energy losses, we show the theoretical limits of the power conversion efficiency set by radiative recombination of the carriers on the basis of the detailed balance relation between radiation from the cell and black-body radiation.

Seki, Kazuhiko, E-mail: k-seki@aist.go.jp [NRI, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 5, Higashi 1-1-1, Tsukuba, Ibaraki 305-8565 (Japan)] [NRI, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 5, Higashi 1-1-1, Tsukuba, Ibaraki 305-8565 (Japan); Furube, Akihiro [RIIF, AIST Tsukuba Central 2, Umezono 1-1-1, Tsukuba, Ibaraki 305-8568 (Japan)] [RIIF, AIST Tsukuba Central 2, Umezono 1-1-1, Tsukuba, Ibaraki 305-8568 (Japan); Yoshida, Yuji [RCPVT, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 5, Higashi 1-1-1, Tsukuba, Ibaraki 305-8565 (Japan)] [RCPVT, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 5, Higashi 1-1-1, Tsukuba, Ibaraki 305-8565 (Japan)

2013-12-16T23:59:59.000Z

375

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS27 data.

376

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.14

377

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2006 Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment

378

,"U.S. Natural Gas Monthly Supply and Disposition Balance"  

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

Monthly Supply and Disposition Balance" Monthly Supply and Disposition Balance" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Monthly Supply and Disposition Balance",9,"Monthly","9/2013","1/15/1973" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ng_sum_sndm_s1_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/ng/ng_sum_sndm_s1_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

379

EIA - International Energy Outlook 2007 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface International Energy Outlook 2007 Preface This report presents international energy projections through 2030, prepared by the Energy Information Administration, including outlooks for major energy fuels and associated carbon dioxide emissions. The International Energy Outlook 2007 (IEO2007) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2030. U.S. projections appearing in IEO2007 are consistent with those published in EIA’s Annual Energy Outlook 2007 (AEO2007), which was prepared using the National Energy Modeling System (NEMS). IEO2007 is provided as a service to energy managers and analysts, both in government and in the private sector. The projections are used by international agencies, Federal and State governments, trade

380

EIA - International Energy Outlook 2008-Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface International Energy Outlook 2008 Preface This report presents international energy projections through 2030, prepared by the Energy Information Administration, including outlooks for major energy fuels and associated carbon dioxide emissions. The International Energy Outlook 2008 (IEO2008) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2030. U.S. projections appearing in IEO2008 are consistent with those published in EIA’s Annual Energy Outlook 2008 (AEO2008), which was prepared using the National Energy Modeling System (NEMS). IEO2008 is provided as a service to energy managers and analysts, both in government and in the private sector. The projections are used by international agencies, Federal and State governments, trade

Note: This page contains sample records for the topic "nems balances energy" 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

National Energy Modeling System: An Overview  

Gasoline and Diesel Fuel Update (EIA)

6) 6) Distribution Category UC-950 The National Energy Modeling System: An Overview March 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. PREFACE The National Energy Modeling System: An Overview (Overview) provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2015 for the Annual Energy Outlook 1996 (AEO96), (DOE/EIA- 0383(96)), released in January

382

Wind turbines application for energy savings in Gas transportation system.  

E-Print Network [OSTI]

?? The Thesis shows the perspectives of involving renewable energy resources into the energy balance of Russia, namely the use of wind energy for the (more)

Mingaleeva, Renata

2014-01-01T23:59:59.000Z

383

Energy and Greenhouse Impacts of Biofuels: A Framework for Analysis  

E-Print Network [OSTI]

108 www.ncga.com/ethanol/pdfs/energy_balance_report_biomass gasification, biomass energy, ethanol for energyet al. (2005). "Ethanol as fuels: Energy, carbon dioxide

Kammen, Daniel M.; Farrell, Alexander E.; Plevin, Richard J.; Jones, Andrew D.; Nemet, Gregory F.; Delucchi, Mark A.

2008-01-01T23:59:59.000Z

384

Energy and Greenhouse Gas Impacts of Biofuels: A Framework for Analysis  

E-Print Network [OSTI]

108 www.ncga.com/ethanol/pdfs/energy_balance_report_et al. (2005). "Ethanol as fuels: Energy, carbon dioxidebiomass gasification, biomass energy, ethanol for energy

Kammen, Daniel M; Farrell, Alexander E; Plevin, Richard J; Jones, Andrew D; Nemet, Gregory F; Delucchi, Mark A

2008-01-01T23:59:59.000Z

385

Assumptions to the Annual Energy Outlook 2002 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2002, DOE/EIA- M068(2002) January 2002. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

386

Assumptions to the Annual Energy Outlook 2001 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2001, DOE/EIA- M068(2001) January 2001. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

387

Directory of Energy Information Administration Models 1994  

SciTech Connect (OSTI)

This directory revises and updates the 1993 directory and includes 15 models of the National Energy Modeling System (NEMS). Three other new models in use by the Energy Information Administration (EIA) have also been included: the Motor Gasoline Market Model (MGMM), Distillate Market Model (DMM), and the Propane Market Model (PPMM). This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses and requirements. Sources for additional information are identified. Included in this directory are 37 EIA models active as of February 1, 1994.

Not Available

1994-07-01T23:59:59.000Z

388

The content of ATP, ADP, AMP, Pi, the activity of enzymes involved in the glycolytic pathway and some problems of its regulation, and energy balance in tobacco plants infected with potato virus Y  

Science Journals Connector (OSTI)

The content of ATP, ADP, AMP, Pi..., the activity of the enzymes involved in the glycolytic pathway, some problems of their regulation by adenine nucleotides and some basic problems connected with tissue energy b...

L. Sindelr

1986-11-01T23:59:59.000Z

389

EIA - Assumptions to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2009 The Early Release for next year's Annual Energy Outlook will be presented at the John Hopkins Kenney Auditorium on December 14th This report summarizes the major assumptions used in the NEMS to generate the AEO2009 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions

390

A Reconciled Estimate of Ice-Sheet Mass Balance  

Science Journals Connector (OSTI)

...Reassessment of net surface mass balance in Antarctica...high-resolution surface mass balance map of Antarctica (1979-2010...from ice-sheet-wide velocity mapping . J. Glaciol...J. ., Higher surface mass balance of the Greenland...

Andrew Shepherd; Erik R. Ivins; Geruo A; Valentina R. Barletta; Mike J. Bentley; Srinivas Bettadpur; Kate H. Briggs; David H. Bromwich; Ren Forsberg; Natalia Galin; Martin Horwath; Stan Jacobs; Ian Joughin; Matt A. King; Jan T. M. Lenaerts; Jilu Li; Stefan R. M. Ligtenberg; Adrian Luckman; Scott B. Luthcke; Malcolm McMillan; Rakia Meister; Glenn Milne; Jeremie Mouginot; Alan Muir; Julien P. Nicolas; John Paden; Antony J. Payne; Hamish Pritchard; Eric Rignot; Helmut Rott; Louise Sandberg Srensen; Ted A. Scambos; Bernd Scheuchl; Ernst J. O. Schrama; Ben Smith; Aud V. Sundal; Jan H. van Angelen; Willem J. van de Berg; Michiel R. van den Broeke; David G. Vaughan; Isabella Velicogna; John Wahr; Pippa L. Whitehouse; Duncan J. Wingham; Donghui Yi; Duncan Young; H. Jay Zwally

2012-11-30T23:59:59.000Z

391

Practical Application of Distillation Column Energy Control Systems  

E-Print Network [OSTI]

Closed loop computer control of an ethylene column has been shown to save $350/day in improved ethylene recovery and $150/day in reduced energy consumption. These savings are achieved through material balance optimization and energy balance...

Matthews, S. A.

1980-01-01T23:59:59.000Z

392

Performance of a Wave Energy Converter with Mechanical Energy Smoothing.  

E-Print Network [OSTI]

??A wave energy converter which uses a power balancing mechanism for turning intermittent and irregular wave motion input to smoothed continuous electrical power output is (more)

Josefsson, Andreas; Berghuvud, Ansel; Ahlin, Kjell

2011-01-01T23:59:59.000Z

393

Warming alters the metabolic balance of ecosystems  

Science Journals Connector (OSTI)

...particular, it is unclear how global warming will affect the metabolic balance...change on key ecosystem services. global warming|carbon sequestration|carbon...for the ecological impacts of global warming on individual taxa is now unequivocal...

2010-01-01T23:59:59.000Z

394

Work and Life Balance | GE Global Research  

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

Achieving worklife balance is a much-talked-about topic. According to GE Healthcare's Kelly Piacsek, "GE hires people for what's inside their head-what they know-and the specific...

395

Background-free balanced optical cross correlator  

SciTech Connect (OSTI)

A balanced optical cross correlator includes an optical waveguide, a first photodiode including a first n-type semiconductor and a first p-type semiconductor positioned about the optical waveguide on a first side of the optical waveguide's point of symmetry, and a second photodiode including a second n-type semiconductor and a second p-type semiconductor positioned about the optical waveguide on a second side of the optical waveguide's point of symmetry. A balanced receiver including first and second inputs is configured to produce an output current or voltage that reflects a difference in currents or voltages, originating from the first and the second photodiodes of the balanced cross correlator and fed to the first input and to the second input of the balanced receiver.

Nejadmalayeri, Amir Hossein; Kaertner, Franz X

2014-12-23T23:59:59.000Z

396

Balancing Forage Demand with Forage Supply  

E-Print Network [OSTI]

Ranchers must achieve a balance between stocking rate and forage supply for effective conversion of range forage to animal production. This publication can help ranchers evaluate current forage conditions, make timely forage inventories, plan stock...

Troxel, Tom R.; White, Larry D.

1995-09-25T23:59:59.000Z

397

Generalized Nonlinear Balance Criteria and Inertial Stability  

Science Journals Connector (OSTI)

The connections between the concept of nonlinear balance and the classical criterion of inertial stability are explored in the context of historical work on this subject. New analytic results are derived establishing that ellipticity and inertial ...

John A. Knox

1997-04-01T23:59:59.000Z

398

Uniplanar microwave balanced mixers and amplifiers  

E-Print Network [OSTI]

The completely uniplanar broadband singly balanced diode mixers and FET amplifiers, which utilize coplanar waveguide and slot line as the main transmission lines, are presented. These mixers and amplifiers have several desirable features...

Hsu, Pang-Cheng

2012-06-07T23:59:59.000Z

399

Work-Life Balance | Argonne National Laboratory  

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

Work-Life Balance Work-Life Balance Balancing work and life means prioritizing what is important to you. Argonne supports employees who want to coordinate work, home and community activities. Lab-provided benefits that help you do that include on-site child care, a credit union, flexible work schedules, generous leave and vacation programs, and much more. A wide variety of social clubs at Argonne promote fellowship and diversity. You can work at Argonne and also have a life of interest and fulfillment. "I have good work-life balance. I spend my workday devoted to my work, and when I go home, I'm able to have a life outside work. I used to play soccer, so I'm looking to join a women's soccer team in the Chicago suburbs." - Emily Wolters, Nuclear Engineer Argonne understands that employment decisions often involve your

400

Online Load Balancing for Related Machines  

E-Print Network [OSTI]

of entire schedule s as follows: load(s; i) = 1 v i X s(j)=i p j ; Load(s) = max i load(s; i) It is easyOn­line Load Balancing for Related Machines Piotr Berman \\Lambda Moses Charikar y Marek Karpinski z­line load balancing was studied extensively over the years (cf., e.g., [7], [3], [4], and [2

Karpinski, Marek

Note: This page contains sample records for the topic "nems balances energy" 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

Daily torpor in mice: high foraging costs trigger energy-saving hypothermia  

Science Journals Connector (OSTI)

...strategies to save energy. Facultative daily...between environmental quality, foraging behaviour...environmental quality|foraging costs|energy balance| 1. Introduction...foraging costs in poor quality habitat. As an...strategy to maintain energy balance, natural...

2010-01-01T23:59:59.000Z

402

Detailed balance theory of excitonic and bulk heterojunction solar cells  

Science Journals Connector (OSTI)

A generalized solar cell model for excitonic and classical bipolar solar cells describes the combined transport and interaction of electrons, holes, and excitons in accordance with the principle of detailed balance. Conventional inorganic solar cells, single-phase organic solar cells and bulk heterojunction solar cells, i.e., nanoscale mixtures of two organic materials, are special cases of this model. For high mobilities, the compatibility with the principle of detailed balance ensures that our model reproduces the Shockley-Queisser limit irrespective of how the energy transport is achieved. For less ideal devices distinct differences become visible between devices that are described by linear differential equations and those with nonlinear effects, such as a voltage-dependent collection in bipolar p-i-n-type devices. These differences in current-voltage characteristics are also decisive for the validity of the reciprocity theorem between photovoltaic quantum efficiency and electroluminescent emission. Finally, we discuss the effect of band offset at the heterointerface in a bulk heterojunction cell and the effect of the average distances between these heterointerfaces on the performance of a solar cell in order to show how our detailed balance model includes also these empirically important quantities.

Thomas Kirchartz; Julian Mattheis; Uwe Rau

2008-12-29T23:59:59.000Z

403

Water-Balance Cover Performance  

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

2011, Phoenix, AZ 2011, Phoenix, AZ Design and Installation of a Disposal Cell Cover Field Test C.H. Benson University of Wisconsin-Madison, Madison, Wisconsin W.J. Waugh S.M. Stoller Corporation, Grand Junction, Colorado W.H. Albright Desert Research Institute, Reno, Nevada G.M. Smith Geo-Smith Engineering, Grand Junction, Colorado R.P. Bush U.S. Department of Energy, Grand Junction, Colorado ABSTRACT The U.S. Department of Energy's Office of Legacy Management (LM) initiated a cover assessment project in September 2007 to evaluate an inexpensive approach to enhancing the hydrological performance of final covers for disposal cells. The objective is to accelerate and enhance natural processes that are transforming existing conventional covers, which rely on low-

404

Water-Balance Cover Performance  

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

0, 2010, Phoenix, AZ 0, 2010, Phoenix, AZ Natural and Enhanced Attenuation of Soil and Groundwater at the Monument Valley, Arizona, DOE Legacy Waste Site-10281 W.J. Waugh, D.E. Miller, S.A. Morris, and L.R. Sheader S.M. Stoller Corporation, Grand Junction, CO E.P. Glenn, D. Moore, and K.C. Carroll University of Arizona, Tucson, AZ L. Benally and M. Roanhorse Navajo Nation, Window Rock, AZ R.P. Bush U.S. Department of Energy, Grand Junction, CO ABSTRACT The U.S. Department of Energy (DOE), the Navajo Nation, and the University of Arizona are exploring natural and enhanced attenuation remedies for groundwater contamination at a former uranium-ore processing site near Monument Valley, Arizona. DOE removed radioactive tailings from the Monument Valley site in 1994. Nitrate and ammonium, waste products of the milling process, remain in an alluvial

405

EIA - Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 7 Assumptions to the Annual Energy Outlook 2007 This report summarizes the major assumptions used in the NEMS to generate the AEO2007 projections. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800.

406

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2006 The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2006, DOE/EIA- M068(2006). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

407

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

408

International Energy Outlook - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface International Energy Outlook 2004 Preface This report presents international energy projections through 2025, prepared by the Energy Information Administration, including outlooks for major energy fuels and issues related to electricity and the environment. The International Energy Outlook 2004 (IEO2004) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2004 are consistent with those published in EIA’s Annual Energy Outlook 2004 (AEO2004), which was prepared using the National Energy Modeling System (NEMS). IEO2004 is provided as a service to energy managers and analysts, both in government and in the private sector. The projections are used by international agencies, Federal and State governments, trade associations, and other planners and decisionmakers. They are published pursuant to the Department of Energy Organization Act of 1977 (Public Law 95-91), Section 205(c). The IEO2004 projections are based on U.S. and foreign government laws in effect on October 1, 2003.

409

Extrapolating Environmental Benefits from IGCC in NEMS  

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

August 2008 (April August 2008 (April 2009 Revision) DOE/NETL-402/080108 Water Requirements for Existing and Emerging Thermoelectric Plant Technologies Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or

410

NEMS Buildings Sector Working Group Meeting  

Gasoline and Diesel Fuel Update (EIA)

20 * Photovoltaic system cost path - Updated 2010 system costs based on Tracking the Sun IV (LBNL, 2011) * No change from AEO2012 for residential, 7% lower for commercial -...

411

Energy  

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

Energy newsroomassetsimagesenergy-icon.png Energy Research into alternative forms of energy, and improving and securing the power grid, is a major national security...

412

The biggest challenge: Part three: In the final part of our series covering the U.S. Department of Energy's (DoE) SunShot-US$1/W program, balance of system (BOS) costs are addressed.  

Science Journals Connector (OSTI)

BOS FALLS into two main divisions; the hard costs for installation materials and labour; and the soft costs, which can truly add up fast: This would include things like financing, permitting, inspections, and specialised paperwork for regional and national incentives. When DoE went looking for the right person to head up the new Solar Energy Technology Program, Secretary of Energy Steven Chu wanted somebody with a semiconductor background, but also somebody who was not integral to any of the inside markets in the solar system chain. The ideal person would be someone with the knowledge, but without a vested interest in an area, and who could look at the whole picture with an open mind. He found what he was looking for in Dr Ramamoorthy Ramesh, Resident Professor at UC Berkley.

Joyce Laird

2011-01-01T23:59:59.000Z

413

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

414

EnergyPlus Run Time Analysis  

E-Print Network [OSTI]

net-zero energy buildings. EnergyPlus does sub-hourly calculationsnet zero energy buildings. EnergyPlus does sub-hourly whole building integrated heat balance calculations

Hong, Tianzhen

2009-01-01T23:59:59.000Z

415

U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Policy Analysts Policy Analysts This page features the most requested EIA reports and features for policy analysts. If you can't find what you're looking for, please contact the EIA Information Center. Featured Links Responses to Congressional and other requests Congressional testimony Analysis papers from Annual Energy Outlook Financial data and analysis Environmental data and analysis National Energy Modeling System (NEMS) documentation Energy in Brief Maps Featured Reports Annual Energy Outlook International Energy Outlook Short-Term Energy Outlook The Availability and Price of Petroleum and Petroleum Products Produced in Countries Other Than Iran Potential Impacts of Reductions in Refinery Activity on Northeast Petroleum Product Markets Effect of Increased Natural Gas Exports on Domestic Energy Markets

416

EIA - Annual Energy Outlook 2008 - Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface Annual Energy Outlook 2008 with Projections to 2030 Preface The Annual Energy Outlook 2008 (AEO2008), prepared by the Energy Information Administration (EIA), presents long-term projections of energy supply, demand, and prices through 2030. The projections are based on results from EIA’s National Energy Modeling System (NEMS). EIA published an “early release” version of the AEO2008 reference case in December 2007; however, the Energy Independence and Security Act of 2007 (EISA2007), which was enacted later that month, will have a major impact on energy markets, and given the year-long life of AEO2008 and its use as a baseline for analyses of proposed policy changes, EIA decided to update the reference case to reflect the provisions of EISA2007.

417

EIA - International Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

International Energy Outlook 2007 International Energy Outlook 2007 The International Energy Outlook 2007 (IEO2007) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2030. U.S. projections appearing in IEO2007 are consistent with those published in EIA's Annual Energy Outlook 2007 (AEO2007), which was prepared using the National Energy Modeling System (NEMS). The report is also released in print. Projection Tables Appendix A. Reference Case Appendix B. High Economic Growth Case Appendix C. Low Economic Growth Case Appendix D. High World Oil Price Case Appendix E. Low World Oil Price Case Appendix F. Reference Case Projections by End Use Appendix G. Projections of Petroleum and Other Liquids Productions in Three Cases

418

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

1998 With Projections to 2020 1998 With Projections to 2020 Annual Energy Outlook 1999 Report will be Available on December 9, 1998 Preface The Annual Energy Outlook 1998 (AEO98) presents midterm forecasts of energy supply, demand, and prices through 2020 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA's National Energy Modeling System (NEMS). The report begins with an “Overview” summarizing the AEO98 reference case. The next section, “Legislation and Regulations,” describes the assumptions made with regard to laws that affect energy markets and discusses evolving legislative and regulatory issues. “Issues in Focus” discusses three current energy issues—electricity restructuring, renewable portfolio standards, and carbon emissions. It is followed by the analysis

419

Annual Energy Outlook with Projections to 2025  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the nnual Energy Outlook Assumptions to the nnual Energy Outlook EIA Glossary Assumptions to the Annual Energy Outlook 2004 Report #: DOE/EIA-0554(2004) Release date: February 2004 Next release date:February 2005 The Assumptions to the Annual Energy Outlook presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook. Table of Contents Introduction Macroeconomic Activity Module International Energy Module Household Expenditures Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module Appendix A Adobe Acrobat Logo

420

Population balance for CFBFGD systems  

Science Journals Connector (OSTI)

Abstract Population balance is the basis of stable and effective operation of circulating fluidized bed flue gas desulfurization systems (CFBFGD systems). The population balance model parameters were calibrated by comparing the calculated results for a CFBFGD system with experimental data from a bench-scale CFBFGD system. The relative error was less than 5.1%. The influences of the model parameters, reactor structures, operating conditions, and adhesive carrier particles on the population balance of the CFBFGD system were then analyzed using the calibrated population balance model. The results indicated that particle segregation and the superficial gas velocity strongly influenced the particle size distribution. The cyclone separation efficiency and the selected particle draining coefficient also impacted the particle size distribution and the bottom ash ratio. The calcium to sulfur ratio and the bed temperature mainly influenced the bottom ash ratio and the desulfurization efficiency of the system. The anti-abrasion characteristics of the rapidly hydrated sorbent influenced the particle size distribution, the bottom ash ratio, and the desulfurization efficiency of the system. The population balance in the CFBFGD system was more easily achieved when circulating ash from a CFB boiler was used as adhesive carrier particles instead of coal fly ash. This research provides guidance for stable, effective operation of CFBFGD systems to promote industrial applications of CFBFGD technology.

Changfu You; Yuan Li

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

Trends and balances: 1985-1990  

SciTech Connect (OSTI)

This is the seventh edition of Trends and Balances to be presented to the staff of Oak Ridge National (ORNL) and other interested parties. Each year at the end of the planning cycle the Laboratory publishes its official planning document, the Institutional Plan. Trends and Balances is brought out as a condensation of that more formal document and is intended to provide a reference to the kinds of plans that have occupied senior laboratory management over the past year. An institution as large as ORNL changes slowly, so some of the information in this document overlaps that contained in the previous edition of Trends and Balances. Much, however, is different. A new section, for example, describes what senior Laboratory management feels are five new directions for science and technology at ORNL. This document is intended to provide new insights into the programs and structure of the Laboratory.

Not Available

1985-01-01T23:59:59.000Z

422

EIA - Assumptions to the Annual Energy Outlook 2010 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2010 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2010 [1] (AEO2010), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in the AEO2010 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

423

EIA - Assumptions to the Annual Energy Outlook 2009 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2009 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2009 (AEO2009),1 including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2009 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

424

Optimal signal recovery for pulsed balanced detection  

Science Journals Connector (OSTI)

We demonstrate a tool for filtering technical and electronic noises from pulses of light, especially relevant for signal processing methods in quantum optics experiments as a means to achieve the shot-noise level and reduce strong technical noise by means of a pattern function. We provide the theory of this pattern-function filtering based on balance detection. Moreover, we implement an experimental demonstration where 10 dB of technical noise is filtered after balance detection. Such filter can readily be used for probing magnetic atomic ensembles in environments with strong technical noise.

Yannick A. de Icaza Astiz; Vito Giovanni Lucivero; R. de J. Len-Montiel; Morgan W. Mitchell

2014-09-10T23:59:59.000Z

425

Balance Sheet -- A Financial Management Tool  

E-Print Network [OSTI]

sheet, the growth or decline of assets, liabilities and net worth can be deter- mined. The balance sheet shows the amount of funds the owner has in the business. To determine this amount, the assets owned are listed and a value is placed on them.... Liabilities and their values also are listed. The difference between assets and liabilities equals net worth, or the owner?s equity in the business. The balance sheet is of- ten called a net worth statement. The net worth is the value that would be left...

Klinefelter, Danny A.

2008-09-16T23:59:59.000Z

426

Greenhouse Gas Initiatives - Analysis of McCain-Lieberman Bill S.280 The ClimateStewardship and Innovation Act of 2007 Using the National Energy Modeling System  

E-Print Network [OSTI]

assumptions to SAIC-NEMS. Some key technical, societal and political uncertainties include: (1) the number of new nuclear generation builds, (2) availability of renewable generation (bio-power and wind power), (3) the technological development...) Installed Electric Generating Capacity, (3) Produced Electric Energy, (4) Prices of CO 2 Offsets and Permits (5) Natural Gas Prices, (6) Electricity Prices, and (7) Other Energy Prices. While the study ran seven scenarios for each focus area, two...

Ellsworth, C.

2008-01-01T23:59:59.000Z

427

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 27 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing

428

Assumptions to the Annual Energy Outlook 2013  

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

Industrial Demand Module Industrial Demand Module This page inTenTionally lefT blank 53 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing industries are modeled with less detail because processes are simpler and there is less available data. The petroleum refining

429

EIA - Annual Energy Outlook 2014 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Acronyms Acronyms List of Acronyms AEO Annual Energy Outlook LDV Light-duty vehicle AEO2013 Annual Energy Outlook 2013 LED Light emitting diode AEO20014 Annual Energy Outlook 2014 LNG Liquefied natural gas ATRA American Taxpayer Relief Act of 2012 LPG Liquefied petroleum gases bbl Barrels LRG Liquefied refinery gases Btu British thermal units MATS Mercury and Air Toxics Standards CAFE Corporate Average Fuel Economy MECS Manufacturing Energy Consumption Survey CAIR Clean Air Interstate Rule MMbbl/d Million barrels per day CO2 Carbon dioxide MMBtu Million Btu CTL Coal-to-liquids MMst Million short tons DOE U.S. Department of Energy NEMS National Energy Modeling System E85 Motor fuel containing up to 85% ethanol NGL Natural gas liquids

430

Wall conditioning and power balance for spheromak plasmas in SSPX  

Science Journals Connector (OSTI)

We report here results from power balance measurements for ohmically heated plasmas in the sustained spheromak physics experiment. The plasma is formed inside a close-fitting tungsten-coated copper shell; wall conditioning by baking, glow discharge cleaning (GDC), Ti gettering, and helium shot conditioning produces clean plasmas (Zeff<2.5) and reduces impurity radiation to a small fraction of the input energy, except when the molybdenum divertor plate has been overheated. We find that most of the input energy is lost by conduction to the walls (the divertor plate and the inner electrode in the coaxial source region). Recently, carborane was added during GDC to boronize the plasma-facing surfaces, but little benefit was obtained.

D.N. Hill; R.D. Wood; R. Bulmer; H.S. McLean; D. Ryutov; B.W. Stallard; S. Woodruff

2003-01-01T23:59:59.000Z

431

Life of Sugar: Developing Lifecycle Methods to Evaluate the Energy and Environmental Impacts of Sugarcane Biofuels  

E-Print Network [OSTI]

2006). Ethanol Can Contribute to Energy and Environmental2003). The energy balance of corn ethanol revisited. . . . -Ethanol GHG Greenhouse Gases GREET Greenhouse Gas, Regulated Emissions and Energy

Gopal, Anand Raja

2011-01-01T23:59:59.000Z

432

EIA - Assumptions to the Annual Energy Outlook 2008 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2008 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20081 (AEO2008), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2008 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The AEO projections are also used by analysts and planners in other government agencies and outside organizations.

433

Lateral excitation of bridges by balancing pedestrians  

Science Journals Connector (OSTI)

...177 Lateral excitation of bridges by balancing pedestrians John H.G Macdonald * * Author...synchronized in frequency with the bridge, H v and H a calculated on...relative phase between the bridge and pedestrian changes. H v does work on the bridge...

2008-01-01T23:59:59.000Z

434

Pressure balance at the magnetopause: Experimental studies  

E-Print Network [OSTI]

The pressure balance at the magnetopause is formed by magnetic field and plasma in the magnetosheath, on one side, and inside the magnetosphere, on the other side. In the approach of dipole earth's magnetic field configuration and gas-dynamics solar wind flowing around the magnetosphere, the pressure balance predicts that the magnetopause distance R depends on solar wind dynamic pressure Pd as a power low R ~ Pd^alpha, where the exponent alpha=-1/6. In the real magnetosphere the magnetic filed is contributed by additional sources: Chapman-Ferraro current system, field-aligned currents, tail current, and storm-time ring current. Net contribution of those sources depends on particular magnetospheric region and varies with solar wind conditions and geomagnetic activity. As a result, the parameters of pressure balance, including power index alpha, depend on both the local position at the magnetopause and geomagnetic activity. In addition, the pressure balance can be affected by a non-linear transfer of the solar ...

Suvorova, A V

2011-01-01T23:59:59.000Z

435

Seasonal mass-balance gradients in Norway L.A. RASMUSSEN,1  

E-Print Network [OSTI]

Seasonal mass-balance gradients in Norway L.A. RASMUSSEN,1 L.M. ANDREASSEN2,3 1 Department of Earth@ess.washington.edu 2 Norwegian Water Resources and Energy Directorate (NVE), PO Box 5091, Majorstua, NO-0301 Oslo, Norway 3 Department of Geosciences, University of Oslo, Blindern, NO-0316 Oslo, Norway ABSTRACT

Rasmussen, L.A.

436

Climate change and balance of trade  

E-Print Network [OSTI]

dominant factor in U.S. energy markets only after 2010. Thetransformation of the U.S. energy markets, however, waschanges in energy and agriculture markets making ethanol

Hochman, Gal; Zilberman, David

2014-01-01T23:59:59.000Z

437

Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumption to the Annual Energy Outlook Petroleum Market Module Figure 8. Petroleum Administration for Defense Districts. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohols, ethers, and bioesters natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of U.S. refining

438

Analysis & Projections - U.S. Energy Information Administration (EIA) -  

Gasoline and Diesel Fuel Update (EIA)

Tables Tables Appendix C-Map of NEMS Electricity Market Module Regions Updates Scenario Case Data With Without HCES HCES Reference case Nuclear low cost Nuclear high cost Renewable low cost Renewable high cost Natural gas low cost Natural gas high cost Coal low cost Coal high cost See interactive table viewer Analysis of Impacts of a Clean Energy Standard as requested by Chairman Hall Release date: October 25, 2011 Introduction This report responds to a request from Chairman Ralph M. Hall for an analysis of the impacts of a Clean Energy Standard (CES). The request, as outlined in the letter included in Appendix A, sets out specific

439

The National Energy Modeling System: An Overview 2003  

Gasoline and Diesel Fuel Update (EIA)

3) 3) The National Energy Modeling System: An Overview 2003 March 2003 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html The National Energy Modeling System: An Overview 2003 provides a summary description of the National En- ergy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, im- ports, and

440

Energy  

Science Journals Connector (OSTI)

Energy ... Scientific Challenges in Sustainable Energy Technology, by Nathan S. Lewis of the California Institute of Technology, summarizes data on energy resources and analyses the implications for human society. ... ConfChem Conference on Educating the Next Generation: Green and Sustainable ChemistrySolar Energy: A Chemistry Course on Sustainability for General Science Education and Quantitative Reasoning ...

John W. Moore

2008-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "nems balances energy" 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

A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity  

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

A Preliminary Examination A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity Blair Swezey, Jørn Aabakken, and Lori Bird Technical Report NREL/TP-670-42266 October 2007 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 A Preliminary Examination of the Supply and Demand Balance for Renewable Electricity Blair Swezey, Jørn Aabakken, and Lori Bird Prepared under Task No. WF6N.1015 Technical Report NREL/TP-670-42266 October 2007 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle

442

Model documentation report: Commercial 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) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.

NONE

1998-01-01T23:59:59.000Z

443

Abstract 3360: Loss of sulf-1 reprograms energy metabolism in ovarian cancer  

Science Journals Connector (OSTI)

...for Cancer Research January 2010 meeting-abstract Behavioral...Abstracts - Energy Balance: From...and Community Abstracts: AACR International...Prevention Research-- Dec 6-9...Houston, TX Abstract CN05-04: Energy balance within...

Susmita Mondal; Debarshi Roy; Juliana Camacho Pereira; Eduardo N. Chini; and Vijayalakshmi Shridhar

2014-10-01T23:59:59.000Z

444

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2040. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

445

Guidelines for Energy Efficient Schools  

E-Print Network [OSTI]

control is a hybrid HVAC system with a designed mixture or balance between electric and natural gas energy sources. The summary of this paper will compare operating cost performance, energy performance, HVAC system type of the case study schools, eight...

McClure, J. D.; Estes, J. M.; Bicknell, K. N.; Estes, M. C.

1988-01-01T23:59:59.000Z

446

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2006 Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

447

,"U.S. Natural Gas Annual Supply and Disposition Balance"  

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

Annual Supply and Disposition Balance" Annual Supply and Disposition Balance" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Supply",5,"Annual",2012,"6/30/1930" ,"Data 2","Disposition",5,"Annual",2012,"6/30/1930" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ng_sum_snd_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/ng/ng_sum_snd_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

448

California Natural Gas Balancing Item (Million Cubic Feet)  

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

Balancing Item (Million Cubic Feet) California Natural Gas Balancing Item (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

449

The power balance method For aerodynamic performance assessment  

E-Print Network [OSTI]

This thesis describes the use of the power balance method for performance estimation of aircraft configurations. In this method, mechanical power production and mechanical power consumption of the aircraft are balanced, ...

Sato, Sho, Ph. D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

450

Building Energy Optimization (BEopt) Software | Department of...  

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

of BEopt-CA (Ex) that supports balanced integration of energy efficiency, demand response, and photovoltaics in the residential retrofit market. To help meet Building...

451

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

E-Print Network [OSTI]

unit of measurement (i.e. Mt, bcm, PJ, Mtce) EBPhase: the major balance subsections: Total Primary Energy

Fridley, Ed., David

2008-01-01T23:59:59.000Z

452

Material Balance Report NRC 742_7  

National Nuclear Security Administration (NNSA)

MATERIAL BALANCE REPORT MATERIAL BALANCE REPORT 1. NAME AND ADDRESS MATERIAL ACCOUNTABILITY NRC FORM 742 (7-2008) (PREVIOUS EDITIONS ARE OBSOLETE) 4. REPORT PERIOD (MM/DD/YYYY) PRINTED ON RECYCLED PAPER Estimated burden per response to comply with this mandatory collection request: 5 hours. Reported lessons learned are incorporated into the licensing process and fed back to industry. Send comments regarding burden estimate to the Records and FOIA/Privacy Services Branch (T-5 F52), U.S. Nuclear Regulatory Commission, Washington, DC 20555-0001, or by internet e-mail to infocollects@nrc.gov, and to the Desk Officer, Office of Information and Regulatory Affairs, NEOB-10202, (3150-0004), Office of Management and Budget, Washington, DC 20503. If a means used to impose an information collection does not display a currently valid OMB

453

Micromorphic Balances and Source-flux Duality  

SciTech Connect (OSTI)

This is a further note on the (Gauss-Maxwell) force-flux construct proposed previously (Goddard, J. D., A note on Eringen's moment balances, Int. J. Eng. Sci., in the press, 2011). Motivated in part by its promise as a homogenization technique for constructing micromorphic continua, the present work is focused rather on some additional representations and on novel applications, such as the derivation of dissipative thermodynamic potentials from force-flux relations.

Goddard, J. D. [Department of Mechanical and Aerospace Engineering, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093-0411 (United States)

2011-11-29T23:59:59.000Z

454

Balance de la temporada teatral bonaerense 1972.  

E-Print Network [OSTI]

FALL 1973 71 Balance de la Temporada Teatral Bonaerense 1972 TERESA CAJIAO SALAS El centro ms importante de actividad teatral en la Argentina contina siendo la capital federal, multifactica ciudad que cuenta con un pblico numeroso y de los... variedad, circunstancia que por razones de seleccin y espacio nos obliga a comentar slo sus aspectos ms sobresalientes. Al iniciarse el ao la actividad teatral se bifurca en la presentacin de obras estrenadas en 1971, y que an estn en la...

Cajiao Salas, Teresa

1973-10-01T23:59:59.000Z

455

EIA - The National Energy Modeling System: An Overview 2003-Residential  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The National Energy Modeling System: An Overview 2003 Residential Demand Module Figure 5. Residential Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Residential Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. NEMS Residential Module Equipment Summary Table. Need help, contact the National Energy Information Center at 202-586-8800. Characteristics of Selected Equipment Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from

456

On minimum balanced bipartitions of triangle-free graphs  

Science Journals Connector (OSTI)

A balanced bipartition of a graph G is a partition of V(G) into two subsets V 1 and V 2 that differ in cardinality by at most 1. A minimum balanced bipartition of G ... Keywords: Balanced bipartition, Planar graphs, Triangle-free graphs

Haiyan Li; Yanting Liang; Muhuo Liu; Baogang Xu

2014-04-01T23:59:59.000Z

457

ANALYSIS OF POWER BALANCING WITH FUEL CELLS & HYDROGEN  

E-Print Network [OSTI]

ANALYSIS OF POWER BALANCING WITH FUEL CELLS & HYDROGEN PRODUCTION PLANTS IN DENMARK Support program;"Analysis of power balancing with fuel cells & hydrogen production plants in Denmark" ­ March 2009 ­ Project ........................................................................................................................104 #12;"Analysis of power balancing with fuel cells & hydrogen production plants in Denmark" ­ March

458

Energy balance solar on irrigated castor bean crop.  

E-Print Network [OSTI]

??O presente trabalho foi realizado com o objetivo de quantificar os componentes do balano de energia pelo sistema da razo de Bowen, BERB, sobre a (more)

Gervsio Fernando Alves Rios

2009-01-01T23:59:59.000Z

459

Distinguished Lecture Series - Balancing the Energy & Climate Budget  

ScienceCinema (OSTI)

The average American uses 11400 Watts of power continuously. This is the equivalent of burning 114 x100 Watt light bulbs, all the time. The average person globally uses 2255 Watts of power, or a little less than 23 x100 Watt light bulbs.

None

2010-09-01T23:59:59.000Z

460

Traffic Dynamics Prospectives: From Fundamental Diagram to Energy Balance  

E-Print Network [OSTI]

.07.2008 Woods Hole ­ p.1/11 #12;History The term: Automobil = Selbstfahrer (Grecian ´o - selbst (self) and Latin.) Quelle: Wikipedia Automobil 08.07.2008 Woods Hole ­ p.2/11 #12;Observations . . . Original pictures

Bertini, Robert L.

Note: This page contains sample records for the topic "nems balances energy" 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

Development of Energy Balances for the State of California  

E-Print Network [OSTI]

53 CHP Industrial and CommercialIPPs); (3) combined heat and power (CHP), electric powersector; (4) CHP, industrial sector; and (5) CHP, commercial

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-01-01T23:59:59.000Z

462

Audi Future Energies: Balancing Business and Environmental Concerns  

Science Journals Connector (OSTI)

At the power-to-gas plant in Wertle, renewable electricity is converted...1). This hydrogen could oneday power fuel-cell vehicles. Because a widespread hydrogen infrastructure does not yet exist, the hydrogen mu...

P. F. Tropschuh; E. Pham

2014-01-01T23:59:59.000Z

463

Development of Energy Balances for the State of California  

E-Print Network [OSTI]

vessel and commercial harbor craft distillate fuel consumption.fuel was consumed in 2000 by recreational boats and other marine vessels for which fuel consumption

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-01-01T23:59:59.000Z

464

Development of Energy Balances for the State of California  

E-Print Network [OSTI]

geothermal, wind, solar, landfill gas and municipal solidgeothermal, wind, solar, landfill gas and municipal solidsolid wasted, and landfill gas is also shown in this

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-01-01T23:59:59.000Z

465

Development of Energy Balances for the State of California  

E-Print Network [OSTI]

Commission, 2004a. Electricity Consumption by Standard2004. Fuel and Electricity Consumption by California Cement44 Table 28. Electricity consumption by end-use

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-01-01T23:59:59.000Z

466

Energy Balance and Thermal Comfort in Passive Solar Housing  

Science Journals Connector (OSTI)

To evaluate the performance of different passive solar dwellings it is necessary to consider not only the thermal performance but also the comfort performance of the system.

K. Alder; Ch. Eriksson; A. Faist; N. Morel

1984-01-01T23:59:59.000Z

467

First law energy balance as a data screening tool  

E-Print Network [OSTI]

(Agogino et al. 1988), manufacturing (Walker and Wyatt 1995), chemical engineering (Dunia et al. 1996, Tong and Crowe 1995), and nuclear power stations (Dorr et al. 1997). FDD technology was introduced into building HVAC systems in the 1970s... F? ?? totV = total air flow through HVAC system, cfm OAV = outside air intake into the building through HVAC system, cfm CLV = air volume passing through cooling coil, cfm OAW = specific humidity ratio of outside air, / irlb lb CLW...

Shao, Xiaojie

2006-08-16T23:59:59.000Z

468

Surface Energy Balance on the Arctic Tundra: Measurements and Models  

Science Journals Connector (OSTI)

The progress made in the LandAtmosphereIce Interactions Flux Study over the past 4 yr to fully characterize the biophysical fluxes in the snow-free tundra ecosystem and their relationship to climate and climate change is described. This paper ...

A. H. Lynch; F. S. Chapin III; L. D. Hinzman; W. Wu; E. Lilly; G. Vourlitis; E. Kim

1999-08-01T23:59:59.000Z

469

Ethanol Fuels: Energy Balance, Economics, and Environmental Impacts Are Negative  

Science Journals Connector (OSTI)

Several studies suggest that the $1.4 billion in government subsidies are encouraging the ethanol program without substantial benefits to the U.S. economy. Large ethanol industries and a few U.S. government ... a...

David Pimentel

2003-06-01T23:59:59.000Z

470

Balancing Energy and Food Production, 1975-2000  

Science Journals Connector (OSTI)

...resources to enhance fundamental human productiv-ity...are the hydrologic cycle (using about 23...power-driven pumps, and engine-powered traction...from the system) of diesel fuel of around...in the hydrologic cycle. 2. This article...key points in their cycles. It is my purpose...

W. J. Chancellor; J. R. Goss

1976-04-16T23:59:59.000Z

471

Development of Energy Balances for the State of California  

E-Print Network [OSTI]

portion of marine and aviation fuel deliveries. 8 Theof international marine bunker fuel are shown in energyof jet fuel and marine bunker fuels are not disaggregated by

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-01-01T23:59:59.000Z

472

Energy balance of the atmosphere over the Gulf of Mexico  

E-Print Network [OSTI]

density of the air and. the three- dimensional air velocity, respectively, and. t, represents time. If we neglect the local rate of change of density and expand V ' (qV3), the three-dimensional mass flux divergence, into its horizontal and vertical... components, we obtain g(pw) V (~V) +- &3z (2) where V represents the horizontal component of the air velocity and. w denotes the vertical component. The term V ~ (qV) represents the divergence of the horizontal mass flux. Averaging of (2) over an area...

Reiss, Nathan Morris

2012-06-07T23:59:59.000Z

473

Development of Energy Balances for the State of California  

E-Print Network [OSTI]

geothermal, wind, solar, landfill gas and municipal solidgeothermal, wind, solar, landfill gas and municipal solidGeothermal Wind Solar Wood Landfill & MSW Other Biomass

Murtishaw, Scott; Price, Lynn; de la Rue du Can, Stephane; Masanet, Eric; Worrell, Ernst; Sahtaye, Jayant

2005-01-01T23:59:59.000Z

474

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

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration | Annual Energy Outlook Retrospective Review Energy Information Administration | Annual Energy Outlook Retrospective Review Annual Energy Outlook Retrospective Review Table 2. Summary of the number o fover-estimated results between AEO Reference cases and realized Outcomes All AEOs NEMS AEOs Percent of Projections Over-Estimated Percent of Projections Over-Estimated Table 3. Gross Domestic Product, (Average Cumulative Growth) Actual vs. Projected 24% 37% Table 4. World Oil Prices, Actual vs. Projected 52% 24% Table 5. Total Petroleum Consumption, Actual vs. Projected 44% 61% Table 6. Domestic Crude Oil Production, Actual vs. Projected 59% 65% Table 7. Petroleum Net Imports, Actual vs. Projected 56% 61% Table 8. Natural Gas Wellhead Prices, Actual vs. Projected 54% 23% Table 9. Total Natural Gas Consumption, Actual vs. Projected

475

Abstract 4328: Marrow stromal cells promote mitochondrial energy metabolism in primary CLL cells without impacting cellular proliferation  

Science Journals Connector (OSTI)

...meeting-abstract Prevention Research Poster Presentations...Late-Breaking Abstracts Late-Breaking...Dietary energy balance modulation...Dietary energy balance modulation...factor-1. [abstract]. In: Proceedings...for Cancer Research; 2013 Apr...

Hima Venkata Vangapandu; Kumudha Balakrishnan; William G. Wierda; Michael J. Keating; Christine M. Stellrecht; and Varsha Gandhi

2014-10-01T23:59:59.000Z

476

Energy  

Gasoline and Diesel Fuel Update (EIA)

Federal, State, local, and foreign governments, EIA survey respondents, and the media. For further information, and for answers to questions on energy statistics, please...

477

Energy  

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

Energy Energy Energy Express Licensing Accelerator-Driven Transmutation Of Spent Fuel Elements Express Licensing Acid-catalyzed dehydrogenation of amine-boranes Express Licensing Air Breathing Direct Methanol Fuel Cell Express Licensing Aligned Crystalline Semiconducting Film On A Glass Substrate And Method Of Making Express Licensing Anion-Conducting Polymer, Composition, And Membrane Express Licensing Apparatus for Producing Voltage and Current Pulses Express Licensing Biaxially oriented film on flexible polymeric substrate Express Licensing Corrosion Test Cell For Bipolar Plates Express Licensing Device for hydrogen separation and method Negotiable Licensing Durable Fuel Cell Membrane Electrode Assembly (MEA) Express Licensing Energy Efficient Synthesis Of Boranes Express Licensing

478

Voltage balanced multilevel voltage source converter system  

DOE Patents [OSTI]

A voltage balanced multilevel converter for high power AC applications such as adjustable speed motor drives and back-to-back DC intertie of adjacent power systems. This converter provides a multilevel rectifier, a multilevel inverter, and a DC link between the rectifier and the inverter allowing voltage balancing between each of the voltage levels within the multilevel converter. The rectifier is equipped with at least one phase leg and a source input node for each of the phases. The rectifier is further equipped with a plurality of rectifier DC output nodes. The inverter is equipped with at least one phase leg and a load output node for each of the phases. The inverter is further equipped with a plurality of inverter DC input nodes. The DC link is equipped with a plurality of rectifier charging means and a plurality of inverter discharging means. The plurality of rectifier charging means are connected in series with one of the rectifier charging means disposed between and connected in an operable relationship with each adjacent pair of rectifier DC output nodes. The plurality of inverter discharging means are connected in series with one of the inverter discharging means disposed between and connected in an operable relationship with each adjacent pair of inverter DC input nodes. Each of said rectifier DC output nodes are individually electrically connected to the respective inverter DC input nodes. By this means, each of the rectifier DC output nodes and each of the inverter DC input nodes are voltage balanced by the respective charging and discharging of the rectifier charging means and the inverter discharging means.

Peng, Fang Zheng (Oak Ridge, TN); Lai, Jih-Sheng (Knoxville, TN)

1997-01-01T23:59:59.000Z

479

Voltage balanced multilevel voltage source converter system  

DOE Patents [OSTI]

Disclosed is a voltage balanced multilevel converter for high power AC applications such as adjustable speed motor drives and back-to-back DC intertie of adjacent power systems. This converter provides a multilevel rectifier, a multilevel inverter, and a DC link between the rectifier and the inverter allowing voltage balancing between each of the voltage levels within the multilevel converter. The rectifier is equipped with at least one phase leg and a source input node for each of the phases. The rectifier is further equipped with a plurality of rectifier DC output nodes. The inverter is equipped with at least one phase leg and a load output node for each of the phases. The inverter is further equipped with a plurality of inverter DC input nodes. The DC link is equipped with a plurality of rectifier charging means and a plurality of inverter discharging means. The plurality of rectifier charging means are connected in series with one of the rectifier charging means disposed between and connected in an operable relationship with each adjacent pair of rectifier DC output nodes. The plurality of inverter discharging means are connected in series with one of the inverter discharging means disposed between and connected in an operable relationship with each adjacent pair of inverter DC input nodes. Each of said rectifier DC output nodes are individually electrically connected to the respective inverter DC input nodes. By this means, each of the rectifier DC output nodes and each of the inverter DC input nodes are voltage balanced by the respective charging and discharging of the rectifier charging means and the inverter discharging means. 15 figs.

Peng, F.Z.; Lai, J.S.

1997-07-01T23:59:59.000Z

480

Steam System Balancing and Tuning for Multifamily Residential Buildings, Chicago, Illinois (Fact Sheet), Building America Case Study: Technology Solutions for New and Existing Homes, Building Technologies Office (BTO)  

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

Steam System Balancing Steam System Balancing and Tuning for Multifamily Residential Buildings Chicago, Illinois PROJECT INFORMATION Project Name: Steam System Balancing and Tuning for Multifamily Residential Buildings Location: Chicago, IL Partners: Partnership for Advanced Residential Retrofit www.gastechnology.org Building Component: Steam heating distribution system and controls Application: Retrofit; Multifamily Year Tested: 2011-2012 Applicable Climate Zone(s): Cold humid continental PERFORMANCE DATA Cost of Energy Efficiency Measure (including labor): $9,000 on average Projected Energy Savings: 10.2% heating savings Chicago's older multifamily housing stock is primarily heated by centrally metered steam or hydronic systems. Often, significant temperature differentials

Note: This page contains sample records for the topic "nems balances energy" 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

Fear: A Fuzzy-based Energy-aware Routing Protocol for Wireless Sensor Networks  

E-Print Network [OSTI]

Many energy-aware routing protocols have been proposed for wireless sensor networks. Most of them are only energy savers and do not take care about energy balancing. The energy saver protocols try to decrease the energy consumption of the network as a whole; however the energy manager protocols balance the energy consumption in the network to avoid network partitioning. This means that energy saver protocols are not necessarily energy balancing and vice versa. However, the lifetime of wireless sensor network is strictly depending on energy consumption; therefore, energy management is an essential task to be considered. This paper proposes an energy aware routing protocol, named FEAR, which considers energy balancing and energy saving. It finds a fair trade-off between energy balancing and energy saving by fuzzy set concept. FEAR routing protocol is simulated and evaluated by Glomosim simulator.

Ahvar, Ehsan; Piran, Mohammad Jalil

2011-01-01T23:59:59.000Z

482

The Balanced Billing Cycle Vehicle Routing Problem  

SciTech Connect (OSTI)

Utility companies typically send their meter readers out each day of the billing cycle in order to determine each customer s usage for the period. Customer churn requires the utility company to periodically remove some customer locations from its meter-reading routes. On the other hand, the addition of new customers and locations requires the utility company to add newstops to the existing routes. A utility that does not adjust its meter-reading routes over time can find itself with inefficient routes and, subsequently, higher meter-reading costs. Furthermore, the utility can end up with certain billing days that require substantially larger meter-reading resources than others. However, remedying this problem is not as simple as it may initially seem. Certain regulatory and customer service considerations can prevent the utility from shifting a customer s billing day by more than a few days in either direction. Thus, the problem of reducing the meterreading costs and balancing the workload can become quite difficult. We describe this Balanced Billing Cycle Vehicle Routing Problem in more detail and develop an algorithm for providing solutions to a slightly simplified version of the problem. Our algorithm uses a combination of heuristics and integer programming via a three-stage algorithm. We discuss the performance of our procedure on a real-world data set.

Groer, Christopher S [ORNL; Golden, Bruce [University of Maryland; Edward, Wasil [American University

2009-01-01T23:59:59.000Z

483

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

484

Analysis & Projections - U.S. Energy Information Administration (EIA) -  

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

Technical Workshop on Behavior Economics Presentations Technical Workshop on Behavior Economics Presentations November 15, 2013 About the workshop The U.S. Department of Energy's Energy Information Administration (EIA) conducted a technical workshop on July 17, 2013 in Washington, D.C. to assess recent methodological developments in the field of behavioral economics as applied to energy demand analysis and energy efficiency programs. This meeting supports the EIA goal of updating its analytic assumptions and methods associated with the modeling of changing energy markets for purposes of public information and policy analysis. The National Energy Modeling System (NEMS) is the primary technical system used by EIA for domestic, long term forecasting and analysis. Ultimate objectives include enhancing the quality of EIA products through improved consumer behavior

485

EIA - Assumptions to the Annual Energy Outlook 2008 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2008 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module projects energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region projection using the SEDS1 data.

486

Assumptions to the Annual Energy Outlook 2000 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The energy-intensive industries are modeled through the use of a detailed process flow accounting procedure, whereas the nonenergy-intensive and the nonmanufacturing industries are modeled with substantially less detail (Table 14). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated by using the SEDS24 data.

487

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

488

EIA - Assumptions to the Annual Energy Outlook 2008 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2008 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

489

EIA - Assumptions to the Annual Energy Outlook 2009 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

490

EIA - Assumptions to the Annual Energy Outlook 2010 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services [1].

491

EIA - Assumptions to the Annual Energy Outlook 2009 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2009 Industrial Demand Module Table 6.1. Industry Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 6.2.Retirement Rates. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process flow or end use accounting

492

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2003, DOE/EIA-M068(2003) April 2003. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

493

Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules  

E-Print Network [OSTI]

energy storage, AC Absorption Chiller, ST solar thermalsolar conversion technologies is limited to available space; Eq. (32) enforces energy balance in storage

Cardoso, Goncalo

2014-01-01T23:59:59.000Z

494

The balance between lytic and lysogenic viral  

Science Journals Connector (OSTI)

affect global biogeochemical processes and energy fluxes ... summer period, concomitant with higher solar irradiance, ...... Mexico and Mississippi river plume.

2013-01-03T23:59:59.000Z

495

Work Life Balance | Y-12 National Security Complex  

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

Work Life Balance Work Life Balance Work Life Balance Working at Y-12 has many advantages. In addition to the many benefit options, Y-12 also offers opportunities for a great work-life balance. Community Involvement Y-12 is a proud member of the community. Employees participate in the United Way annual giving campaign and serve as volunteers for charitable groups in the communities where they live and work. Each year Y-12 employees participate in a day of volunteering for local charities (on average 300-plus employees participate each year). Flexible Work Options Y-12 encourages employees to achieve a healthy personal balance among home, work and the community. One of the ways we embrace work-life balance is by offering flexible work arrangements that provide alternatives to the

496

Mass balance of heavy metals in New Haven Harbor, Connecticut ...  

Science Journals Connector (OSTI)

ABSTRACT: A mass balance was constructed quantifying all known sources and sinks for the metals Ag, Cd, Cu, and Pb in New Haven Harbor, Connecticut,...