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


1

Supplemental Tables to the Annual Energy Outlook 2003  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2003 Annual Energy Outlook 2003 Assumptions to the AEO2003 Nattional Energy Modeling System/Annual Energy Outlook 2003 Conference E-Mail Subscription Lists Forecasts Home Page Supplement Tables to the Annual Energy Outlook 2003 AEO Supplement Reference Case Forecast (2000-2025) - (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central)

2

A Holographic Energy Model  

E-Print Network (OSTI)

We suggest a holographic energy model in which the energy coming from spatial curvature, matter and radiation can be obtained by using the particle horizon for the infrared cut-off. We show the consistency between the holographic dark-energy model and the holographic energy model proposed in this paper. Then, we give a holographic description of the universe.

P. Huang; Yong-Chang Huang

2012-12-30T23:59:59.000Z

3

A Holographic Energy Model  

E-Print Network (OSTI)

We suggest a holographic energy model in which the energy coming from spatial curvature, matter and radiation can be obtained by using the particle horizon for the infrared cut-off. We show the consistency between the holographic dark-energy model and the holographic energy model proposed in this paper. Then, we give a holographic description of the universe.

Huang, P

2013-01-01T23:59:59.000Z

4

Building Energy Modeling Library  

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

Modeling (BEM) Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute Efranconi@rmi.org 303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM) Library * Define and develop a best-practices BEM knowledge repository to improve modeling consistency and address training gaps * Raise energy modeling industry "techniques" to the same

5

Autotune Building Energy Models  

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

Autotune Building Energy Models Autotune Building Energy Models Joshua New Oak Ridge National Laboratory newjr@ornl.gov, 865-241-8783 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * "All (building energy) models are wrong, but some are useful" - 22%-97% different from utility data for 3,349 buildings * More accurate models are more useful - Error from inputs and algorithms for practical reasons - Useful for cost-effective energy efficiency (EE) at speed and scale

6

Tank Waste Corporate Board Meeting 07/29/09 | Department of Energy  

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

9/09 9/09 Tank Waste Corporate Board Meeting 07/29/09 The following documents are associated with the Tank Waste Corporate Board Meeting held on July 29th, 2009. Fuel Cycle Research and Development Program Retrieval and Repackaging of RH-TRU Waste - General Presentation Modular Hot Cell Technology Tank Waste System Integrated Project Team Gunite Tanks Waste Retrieval and Closure Operations at Oak Ridge Nattional Laboratory Integrated Facilities Disposition Program Oak Ridge National Laboratory TRU Waste Processing Center Tank Waste Processing Supernate Processing System Chemical Cleaning Program Review Enhanced Chemical Cleaning Hanford Single-Shell Tank Integrity Program Modeling the Performance of Engineered Systems for Closure and Near-Surface Disposal Nuclear Safety R&D in the Waste Processing Technology Development &

7

Energy-consumption modelling  

SciTech Connect

A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

Reiter, E.R.

1980-01-01T23:59:59.000Z

8

Energy Modeling Software | Department of Energy  

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

Commercial Buildings 禄 Energy Modeling Software Commercial Buildings 禄 Energy Modeling Software Energy Modeling Software Information from energy simulation software is critical in the design of energy-efficient commercial buildings. The tools listed on this page are the product of Commercial Buildings Integration Program (CBI) research and are used in modeling current CBI projects. Modeling helps architects and building designers quickly identify the most cost-effective and energy-saving measures. Graphic of the EnergyPlus software logo. EnergyPlus - An award-winning new-generation building energy simulation program from the creators of BLAST and DOE-2. EnergyPlus models heating, cooling, lighting, ventilating, water, and other energy flows in buildings. OpenStudio - A free plugin for the SketchUp 3D drawing program. The

9

Energy Transition Model | Open Energy Information  

Open Energy Info (EERE)

Energy Transition Model Energy Transition Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Transition Model Agency/Company /Organization: Quintel Intelligence Sector: Energy Topics: Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Website Website: energytransitionmodel.com/ Country: Netherlands Web Application Link: energytransitionmodel.com/ Cost: Free OpenEI Keyword(s): International UN Region: Western Europe References: webservice-energy.org[1] MINES Energy Transition Model[2] Logo: Energy Transition Model The Energy Transition Model is an independent, comprehensive and fact-based energy model that is used by governments, corporations, NGOs and educators in various countries. It is backed by more than 20 partners. There are

10

Model Building Energy Code  

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

''Much of the information presented in this summary is drawn from the U.S. Department of Energy抯 (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

11

Model Energy Conversion Efficiency of Biological Systems  

Science Conference Proceedings (OSTI)

MML Researchers Model Energy Conversion Efficiency of Biological Systems. Novel, highly efficient energy conversion ...

2013-03-15T23:59:59.000Z

12

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

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

Long-Term Energy Models: Long-Term Energy Models: Modeling Energy Use and Energy Efficiency James Sweeney Stanford University Director, Precourt Institute for Energy Efficiency Professor, Management Science and Engineering Presentation to EIA 2008 Energy Conference 34 ! Years of Energy Information and Analysis Some Modeling History * Original Federal Energy Administration Demand Models in PIES and IEES (1974) - Residential, Industrial, Commercial Sectors * Econometric models * Dynamic specification * Allowed matrix of own-elasticities and cross- elasticities of demand for PIES and IEES - Electricity, Natural Gas, Oil, Coal - Designed to examine implications of changes in energy prices, taxes, price regulation - For analysis of "energy conservation" options, estimate of direct impacts used as reduction of

13

Autotune Building Energy Models  

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

service" within the BTO Strategic BEM Portfolio 5 | Building Technologies Office eere.energy.gov Approach Approach: * Multi-objective optimization algorithms to minimize error...

14

Regions in Energy Market Models  

DOE Green Energy (OSTI)

This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

Short, W.

2007-02-01T23:59:59.000Z

15

Model documentation: household model of energy  

Science Conference Proceedings (OSTI)

The Household Model of Energy is an econometric model, meaning that energy use is determined quantitatively with the use of economic variables such as fuel prices and income. HOME is also primarily a structural model, meaning that energy use is determined as the result of interactions of intermediate components such as the number of households, the end use fuel shares and the energy use per household. HOME forecasts energy consumption in all occupied residential structures (households) in the United States on an annual basis through 1990. The forecasts are made based upon a number of initial conditions in 1980, various estimated elasticities, various parameters and assumptions, and a set of forecasted fuel prices and income. In addition to the structural detail, HOME operates on a more disaggregated level. This includes four end-use services (space heating, water heating, air conditioning, and others), up to seven fuel/technology types (dependent upon the end use service), two housing types, four structure vintages, and four Census regions. When the model is run as a module in IFFS, a sharing scheme further disaggregates the model to 10 Federal regions.

Holte, J.A.

1984-02-01T23:59:59.000Z

16

National Energy Modeling System (NEMS)  

DOE Data Explorer (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.

17

International Energy Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

International Energy Module of the National Energy Modeling System Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov

18

Energy Analysis Models, Tools and Software Technologies - Energy ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you抣l find marketing summaries of energy analysis models, tools, and software ...

19

Transportation Energy Model of the World Energy Projection System ...  

U.S. Energy Information Administration (EIA)

The WEPS Transportation Energy Model is a structural accounting model for road, rail, air, domestic shipping, international shipping, and pipeline energy use.

20

Models of National Energy Systems -focusing on biomass energy  

E-Print Network (OSTI)

Models of National Energy Systems - focusing on biomass energy Poul Erik Grohnheit Systems Analysis models 路 International development of large energy models 路 Biomass energy 路 Upstream expansion of the Pan European model for biomass and crops 路 Basic elements in a crop model for Denmark路 Basic elements

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


21

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technologies Available for Licensing U.S. Department of Energy laboratories and participating research ...

22

Solar Energy, Modeling, and Advanced Materials  

Science Conference Proceedings (OSTI)

Oct 21, 2010 ... Clean Energy: Fuel Cells, Batteries, Renewables - Materials, Processing, and Manufacturing: Solar Energy, Modeling, and Advanced Materials

23

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technology Marketing Summaries Here you抣l find marketing summaries of energy analysis models, tools, and software ...

24

Building Technologies Office: Energy Modeling Software  

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

Software on Twitter Bookmark Building Technologies Office: Energy Modeling Software on Google Bookmark Building Technologies Office: Energy Modeling Software on Delicious Rank...

25

Federal Energy Management Program: Model Acquisition Language...  

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

Language for Energy-Efficient Product Contracts to someone by E-mail Share Federal Energy Management Program: Model Acquisition Language for Energy-Efficient Product...

26

Hotel Scoring Model FAQs | ENERGY STAR  

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

use per square foot, and service levels based on operating characteristics. Download the ENERGY STAR Hotel Rating Model FAQs here. Energy Efficient Products Learn about ENERGY...

27

100% DD Energy Model Update  

SciTech Connect

The Miami Science Museum energy model has been used during DD to test the building??s potential for energy savings as measured by ASHRAE 90.1-2007 Appendix G. This standard compares the designed building??s yearly energy cost with that of a code-compliant building. The building is currently on track show 20% or better improvement over the ASHRAE 90.1-2007 Appendix G baseline; this performance would ensure minimum compliance with both LEED 2.2 and current Florida Energy Code, which both reference a less strict version of ASHRAE 90.1. In addition to being an exercise in energy code compliance, the energy model has been used as a design tool to show the relative performance benefit of individual energy conservation measures (ECMs). These ECMs are areas where the design team has improved upon code-minimum design paths to improve the energy performance of the building. By adding ECMs one a time to a code-compliant baseline building, the current analysis identifies which ECMs are most effective in helping the building meet its energy performance goals.

None

2011-06-30T23:59:59.000Z

28

Autotune E+ Building Energy Models  

SciTech Connect

This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.

New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL

2012-01-01T23:59:59.000Z

29

Model Energy Efficiency Program Impact Evaluation Guide | Open Energy  

Open Energy Info (EERE)

Model Energy Efficiency Program Impact Evaluation Guide Model Energy Efficiency Program Impact Evaluation Guide Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Model Energy Efficiency Program Impact Evaluation Guide Focus Area: Energy Efficiency Topics: Best Practices Website: www.epa.gov/cleanenergy/documents/suca/evaluation_guide.pdf Equivalent URI: cleanenergysolutions.org/content/model-energy-efficiency-program-impac Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation This document provides guidance on model approaches for calculating energy, demand and emissions savings resulting from energy efficiency programs. It

30

Energy Efficient Equipment Product Model Listings | Open Energy...  

Open Energy Info (EERE)

appliance models. Products are identified as ENERGY STAR qualified andor regulated in Canada under the Energy Efficiency Regulations. Many products can carry an EnerGuide label,...

31

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

32

On the Ricci dark energy model  

E-Print Network (OSTI)

We study the Ricci dark energy model (RDE) which was introduced as an alternative to the holographic dark energy model. We point out that an accelerating phase of the RDE is that of a constant dark energy model. This implies that the RDE may not be a new model of explaining the present accelerating universe.

Kim, Kyoung Yee; Myung, Yun Soo

2008-01-01T23:59:59.000Z

33

On the Ricci dark energy model  

E-Print Network (OSTI)

We study the Ricci dark energy model (RDE) which was introduced as an alternative to the holographic dark energy model. We point out that an accelerating phase of the RDE is that of a constant dark energy model. This implies that the RDE may not be a new model of explaining the present accelerating universe.

Kyoung Yee Kim; Hyung Won Lee; Yun Soo Myung

2008-12-22T23:59:59.000Z

34

COMMUTER Model | Open Energy Information  

Open Energy Info (EERE)

COMMUTER Model COMMUTER Model 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: COMMUTER Model Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Transportation Phase: Determine Baseline, Prepare a Plan Topics: Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Complexity/Ease of Use: Moderate Website: www.epa.gov/oms/stateresources/policy/pag_transp.htm Cost: Free References: http://www.epa.gov/oms/stateresources/policy/pag_transp.htm Related Tools Simplified Approach for Estimating Impacts of Electricity Generation (SIMPACTS)

35

2002 EIA Models Directory - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The NEMS Residential Sector Demand Module is an integrated dynamic modeling system that projects residential energy demand by ... Energy Demand and Integration ...

36

Energy Analysis Models, Tools and Software Technologies ...  

Energy Analysis Models, Tools and Software Technologies Available for Licensing U.S. Department of Energy laboratories and participating research institutions have ...

37

Retrofit Energy Savings Estimation Model | Open Energy Information  

Open Energy Info (EERE)

Retrofit Energy Savings Estimation Model Retrofit Energy Savings Estimation Model Jump to: navigation, search Tool Summary Name: Retrofit Energy Savings Estimation Model Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: btech.lbl.gov/tools/resem/resem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model[1] Logo: Retrofit Energy Savings Estimation Model RESEM, the Retrofit Energy Savings Estimation Model, is a PC-based tool designed to allow Department of Energy (DOE) Institutional Conservation Program (ICP) staff and participants to reliably determine the energy savings directly caused by ICP-supported retrofit measures implemented in a

38

Model Ordinance for Renewable Energy Projects | Department of Energy  

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

Model Ordinance for Renewable Energy Projects Model Ordinance for Renewable Energy Projects Model Ordinance for Renewable Energy Projects < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Commercial Heating & Cooling Manufacturing Buying & Making Electricity Solar Wind Program Info State Oregon Program Type Solar/Wind Permitting Standards Provider Oregon Department of Energy '''''NOTE: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for renewable energy projects. While it was developed by the Oregon Department of Energy, the model itself has no legal or regulatory authority.'''''

39

Renewable Energy Technologies Financial Model (RET Finance) | Open Energy  

Open Energy Info (EERE)

Renewable Energy Technologies Financial Model (RET Finance) Renewable Energy Technologies Financial Model (RET Finance) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy Technologies Financial Model (RET Finance) Focus Area: Renewable Energy Topics: Opportunity Assessment & Screening Website: analysis.nrel.gov/retfinance/login.asp Equivalent URI: cleanenergysolutions.org/content/renewable-energy-technologies-financi Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance The RET Finance model calculates levelized cost of energy of renewable electricity generation technologies including biomass, geothermal, solar, and wind. The model calculates project earnings, detailed cash flows, and debt payments and also computes a project's levelized cost of electricity,

40

Energy Balance Models Incorporating Transport of Thermal and Latent Energy  

Science Conference Proceedings (OSTI)

Standard latitudinally resolved energy balance models describe conservation of energy on a sphere subject to solar heating, cooling by infrared radiation and diffusive redistribution of energy according to a Fourier type heat flow with flux ...

Brian P. Flannery

1984-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

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

42

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM ...  

U.S. Energy Information Administration (EIA)

DOE/EIA-M059(2012) Part 2. PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . October 2012 . Office of Energy Analysis

43

NREL: Energy Analysis - Geothermal Technology Analysis Models...  

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

Integration Energy Analysis Search More Search Options Site Map Printable Version Geothermal Technology Analysis Models and Tools The following is a list of models and tools...

44

NREL: Energy Analysis - Models and Tools  

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

Most of these tools can be applied on a global, regional, local, or project basis. Energy Data for Decision Makers Crosscutting Analysis Models and Tools Technology Analysis Models...

45

Towards increased policy relevance in energy modeling  

E-Print Network (OSTI)

Economic Activity. Energy Policy 28(6-7): 351-501 Michael J.with MiniCAM 1.0. Energy Policy 27(14):855-879. Worrell,is another reflection of energy policy. Improving Models:

Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale

2003-01-01T23:59:59.000Z

46

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

47

Modeling & Characterization of Harvestable Kinetic Energy for ...  

Science Conference Proceedings (OSTI)

... gov 301.975-5479. Modeling & Characterization of Harvestable Kinetic Energy for Wearable Medical Sensors. RF-enabled ...

2011-03-14T23:59:59.000Z

48

Agegraphic Chaplygin gas model of dark energy  

E-Print Network (OSTI)

We establish a connection between the agegraphic models of dark energy and Chaplygin gas energy density in non-flat universe. We reconstruct the potential of the agegraphic scalar field as well as the dynamics of the scalar field according to the evolution of the agegraphic dark energy. We also extend our study to the interacting agegraphic generalized Chaplygin gas dark energy model.

Ahmad Sheykhi

2010-02-07T23:59:59.000Z

49

Policy modeling for industrial energy use  

E-Print Network (OSTI)

incentives on district heating, ESCO, VA, etc Energy technology R&D energy saving, alternative energy and clean energyincentive schemes as energy saving policies potential non-regret policies higher priority on R&D investment Modeling Policies in the Clean Energy

2003-01-01T23:59:59.000Z

50

Directory of Energy Information Administration models, 1990  

Science Conference Proceedings (OSTI)

This directory revises and updates the Directory of Energy Information Administration Models, DOE/EIA-0293(89), Energy Information Administration (EIA), US Department of Energy, May 1989. The major changes are the inclusion of the Building Energy End-Use Model (BEEM-PC), Residential Energy End-Use Model (REEM-PC), the Refinery Yield Model Spreadsheet System (RYMSS-PC), and the Capital Stock Model (CAPSTOCK-PC). Also, the following models have been inactivated: Energy Disaggregated Input-Output Model (EDIO), Household Model of Energy (HOME3-PC), Commercial Sector Energy Model (CSEM-PC), Outer Continental Shelf Oil and Gas Supply Model (OCSM), and the Stock Module of the Intermediate Future Forecasting System (STOCK). This directory contains descriptions about each basic and auxiliary model, including the title, acronym, purpose, and type, followed by more detailed information on characteristics, uses, and requirements. For developing models, limited information is provided. Sources for additional information are identified. Included in this directory are 38 EIA models active as of March 1, 1990, as well as the PC-AEO Forecasting Model Overview and the three Subsystems for the Short-Term Integrated Forecasting System (STIFS) Model. Models that run on personal computers are identified by PC'' as part of the acronym.

Not Available

1990-06-04T23:59:59.000Z

51

Rebuilding the Coal Model in the Energy Information Administration's National Energy Modeling System  

Science Conference Proceedings (OSTI)

The Energy Information Administration uses the National Energy Modeling System (NEMS) to forecast prices and quantities in energy markets. The coal model that the Energy Information Administration first used in NEMS contributed to convergence problems ... Keywords: GOVERNMENT-ENERGY POLICIES, NATURAL RESOURCES-ENERGY, PROGRAMMING--LINEAR

Melinda Hobbs; Michael Mellish; Frederic H. Murphy; Richard Newcombe; Reginald Sanders; Peter Whitman

2001-09-01T23:59:59.000Z

52

Building Technologies Office: Energy Modeling Software  

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

Modeling Software Modeling Software Information from energy simulation software is critical in the design of energy-efficient commercial buildings. The tools listed on this page are the product of Commercial Buildings Integration Program (CBI) research and are used in modeling current CBI projects. Modeling helps architects and building designers quickly identify the most cost-effective and energy-saving measures. Graphic of the EnergyPlus software logo. EnergyPlus - An award-winning new-generation building energy simulation program from the creators of BLAST and DOE-2. EnergyPlus models heating, cooling, lighting, ventilating, water, and other energy flows in buildings. OpenStudio - A free plugin for the SketchUp 3D drawing program. The plugin makes it easy to create and edit the building geometry in your EnergyPlus input files.

53

Building Energy Software Tools Directory: Energy Demand Modeling  

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

Energy Demand Modeling Energy Demand Modeling The software is intended to be used for Energy Demand Modeling. This can be utilized from regional to national level. A Graphical User Interface of the software takes the input from the user in a quite logical and sequential manner. These input leads to output in two distinct form, first, it develops a Reference Energy System, which depicts the flow of energy from the source to sink with all the losses incorporated and second, it gives a MATLAB script file for advance post processing like graphs, visualization and optimizations to develop and evaluate the right energy mix policy frame work for a intended region. Keywords Reference Energy System, Software, GUI, Planning, Energy Demand Model EDM, Energy Policy Planning Validation/Testing

54

Evaluating Energy Efficiency Policies with Energy-Economy Models  

SciTech Connect

The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

2010-08-01T23:59:59.000Z

55

User's Guide Short-Term Energy Model  

Reports and Publications (EIA)

The personal computer version of the Energy Information Administration's (EIA) Short Term Energy Outlook, known simply as the Short-Term Energy Model, is a modeling system used to forecast future values for key energy variables. It replicates in a Windows environment most features of EIA's mainframe-based short-term modeling system, and adds capabilities that allow the user substitute assumptions to calculate alternative projections.

Information Center

1995-05-01T23:59:59.000Z

56

Energy Flow Models for the Steel Industry  

E-Print Network (OSTI)

Energy patterns in the U. S. steel industry are examined using several models. First is an end-use model based on data in the 1994 Manufacturing Energy Consumption Survey (MECS). Then a seven-step process model is presented and material flow through each step is calibrated against Commerce Dept. data. Third, a detailed energy flow model is presented for coke ovens and blast furnaces, two very energy-intensive steps in our seven step model of steelmaking. This process-step model is calibrated against both our energy end use and material flow models. These models can serve as the base case for simulating changes in energy utilization and waste streams for steelmaking spurred by economic or regulatory conditions or technology innovations.

Hyman, B.; Andersen, J. P.

1998-04-01T23:59:59.000Z

57

Business Models for Energy Access | Open Energy Information  

Open Energy Info (EERE)

Business Models for Energy Access Business Models for Energy Access Jump to: navigation, search Tool Summary Name: Business Models for Energy Access Agency/Company /Organization: EASE-Enabling Access to Sustainable Energy Sector: Energy Focus Area: Renewable Energy, Non-renewable Energy, Biomass, - Biomass Combustion, Grid Assessment and Integration Topics: Background analysis, Co-benefits assessment, - Energy Access Resource Type: Case studies/examples, Lessons learned/best practices, Publications Website: www.ease-web.org/wp-content/uploads/2010/11/EASE-Business-models-for-e Country: Bolivia, Tanzania, Cambodia, Uganda, Laos, Mali, Vietnam, Senegal Cost: Free South America, Eastern Africa, South-Eastern Asia, Eastern Africa, South-Eastern Asia, Western Africa, South-Eastern Asia, Western Africa

58

Approximations to the Distributed Activation Energy Model  

E-Print Network (OSTI)

Approximations to the Distributed Activation Energy Model for Pyrolysis C.P. Please, 1 M.J. Mc, then resubmitted after minor revisions in September 2002. Abstract The Distributed Activation Energy Model (DAEM effective method for estimating kinetic parameters and the distribution of activation energies. Comparison

McGuinness, Mark

59

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

60

Modelling Office Energy Consumption: An Agent Based  

E-Print Network (OSTI)

Modelling Office Energy Consumption: An Agent Based Approach Tao Zhang, Peer-Olaf Siebers, Uwe 路 Overall Project Background 路 Office Energy Consumption 路 Case Study 路 Simulation Experiments 路 Conclusions #12;Overall Project Background 路 EPSRC funded City Energy Future Project 颅 Under Energy & Complexity

Aickelin, Uwe

Note: This page contains sample records for the topic "nattional energy modeling" 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

1 The Quintom Model of Dark Energy  

E-Print Network (OSTI)

In this paper I give a brief review on the recently proposed new scenario of dark energy model dubbed Quintom. Quintom describes the dynamical dark energy models where the equation of state getting across the cosmological constant boundary during evolutions. I discuss some aspects on the quintom model buildings and the observational consequences. 1

Bo Feng A B

2006-01-01T23:59:59.000Z

62

Origin of holographic dark energy models  

E-Print Network (OSTI)

We investigate the origin of holographic dark energy models which were recently proposed to explain the dark energy-dominated universe. For this purpose, we introduce the spacetime foam uncertainty of $\\delta l \\ge l_{\\rm p}^{\\alpha}l^{\\alpha-1}$. It was argued that the case of $\\alpha=2/3$ could describe the dark energy with infinite statistics, while the case of $\\alpha=1/2$ can describe the ordinary matter with Bose-Fermi statistics. However, two cases may lead to the holographic energy density if the latter recovers from the geometric mean of UV and IR scales. Hence the dark energy with infinite statistics based on the entropy bound is not an ingredient for deriving the holographic dark energy model. Furthermore, it is shown that the agegraphic dark energy models are the holographic dark energy model with different IR length scales.

Yun Soo Myung; Min-Gyun Seo

2008-03-20T23:59:59.000Z

63

Instability of agegraphic dark energy models  

E-Print Network (OSTI)

We investigate the agegraphic dark energy models which were recently proposed to explain the dark energy-dominated universe. For this purpose, we calculate their equation of states and squared speeds of sound. We find that the squared speed for agegraphic dark energy is always negative. This means that the perfect fluid for agegraphic dark energy is classically unstable. Furthermore, it is shown that the new agegraphic dark energy model could describe the matter (radiation)-dominated universe in the far past only when the parameter $n$ is chosen to be $n>n_c$, where the critical values are determined to be $n_c=2.6878(2.5137752)$ numerically. It seems that the new agegraphic dark energy model is no better than the holographic dark energy model for the description of the dark energy-dominated universe, even though it resolves the causality problem.

Kyoung Yee Kim; Hyung Won Lee; Yun Soo Myung

2007-09-18T23:59:59.000Z

64

NUCLEAR ENERGY SYSTEM COST MODELING  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy抯 Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative 揑sland approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this island抯 used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability distributions of key parameters and employs Monte Carlo sampling to arrive at an island抯 cost probability density function (PDF). When comparing two NES to determine delta cost, strongly correlated parameters can be cancelled out so that only the differences in the systems contribute to the relative cost PDFs. For example, one comparative analysis presented in the paper is a single stage LWR-UOX system versus a two-stage LWR-UOX to LWR-MOX system. In this case, the first stage of both systems is the same (but with different fractional energy generation), while the second stage of the UOX to MOX system uses the same type transmuter but the fuel type and feedstock sources are different. In this case, the cost difference between systems is driven by only the fuel cycle differences of the MOX stage.

Francesco Ganda; Brent Dixon

2012-09-01T23:59:59.000Z

65

Directory of Energy Information Administration models 1996  

SciTech Connect

This directory revises and updates the Directory of Energy Information Administration Models 1995, DOE/EIA-0293(95), Energy Information Administration (EIA), U.S. Department of Energy, July 1995. Four models have been deleted in this directory as they are no longer being used: (1) Market Penetration Model for Ground-Water Heat Pump Systems (MPGWHP); (2) Market Penetration Model for Residential Rooftop PV Systems (MPRESPV-PC); (3) Market Penetration Model for Active and Passive Solar Technologies (MPSOLARPC); and (4) Revenue Requirements Modeling System (RRMS).

NONE

1996-07-01T23:59:59.000Z

66

Directory of Energy Information Administration Models 1994  

SciTech Connect

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

67

Interacting agegraphic tachyon model of dark energy  

E-Print Network (OSTI)

Scalar-field dark energy models like tachyon are often regarded as an effective description of an underlying theory of dark energy. In this Letter, we implement the interacting agegraphic dark energy models with tachyon field. We demonstrate that the interacting agegraphic evolution of the universe can be described completely by a single tachyon scalar field. We thus reconstruct the potential as well as the dynamics of the tachyon field according to the evolutionary behavior of interacting agegraphic dark energy.

A. Sheykhi

2009-07-15T23:59:59.000Z

68

PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM Part ...  

U.S. Energy Information Administration (EIA)

NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . ... the PMM LP and the re-optimization of the LP matrix are accomplished by executing FORTRAN callable

69

Coal Market Module of the National Energy Modeling System Model ...  

U.S. Energy Information Administration (EIA)

Appendix 3.E. Optimization and Modeling Library (OML) ... Energy Outlook 2002 Projections of Coal Production, Distribution, and Prices for the National

70

Battery Life Predictor Model - Energy Innovation Portal  

Energy Analysis Battery Life Predictor Model ... Technology Marketing Summary Batteries are one of the leading cost drivers of any electric vehicle ...

71

Dark Energy and Dark Matter Models  

E-Print Network (OSTI)

We revisit the problems of dark energy and dark matter and several models designed to explain them, in the light of some latest findings.

Sidharth, Burra G

2013-01-01T23:59:59.000Z

72

Dark Energy and Dark Matter Models  

E-Print Network (OSTI)

We revisit the problems of dark energy and dark matter and several models designed to explain them, in the light of some latest findings.

Burra G. Sidharth

2013-03-14T23:59:59.000Z

73

World Energy Projection System Plus Model Documentation: Macroeconomic Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Macroeconomic Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

74

World Energy Projection System Plus Model Documentation: World Electricity Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

2011-09-29T23:59:59.000Z

75

World Energy Projection System Plus Model Documentation: Greenhouse Gases Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

2011-09-29T23:59:59.000Z

76

World Energy Projection System Plus Model Documentation: Natural Gas Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

77

World Energy Projection System Plus Model Documentation: Main Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Information Center

2011-01-20T23:59:59.000Z

78

World Energy Projection System Plus Model Documentation: Coal Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

79

World Energy Projection System Plus Model Documentation: District Heat Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

80

World Energy Projection System Plus Model Documentation: Commercial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Commercial Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

World Energy Projection System Plus Model Documentation: Transportation Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Victoria Zaretskaya

2011-09-29T23:59:59.000Z

82

World Energy Projection System Plus Model Documentation: Residential Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

83

World Energy Projection System Plus Model Documentation: Refinery Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Adrian Geagla

2011-10-04T23:59:59.000Z

84

World Energy Projection System Plus Model Documentation: Industrial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Peter Gross

2011-10-12T23:59:59.000Z

85

Energy Infrastructure Modeling and Analysis (EIMA)  

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

The Energy Infrastructure Modeling and Analysis (EIMA) Division is focused on ensuring the reliability and resiliency of the U.S. electric grid through robust analytical, modeling, and assessment...

86

Modeling Renewable Energy Readiness: The UAE Context  

E-Print Network (OSTI)

Modeling technology policy is becoming an increasingly important capability to steer states and societies toward sustainability. This paper presents a simulation-modeling approach to evaluate renewable energy readiness, ...

Choucri, Nazli

87

Analytical Modeling | Open Energy Information  

Open Energy Info (EERE)

Analytical Modeling Analytical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Analytical Modeling Details Activities (1) Areas (1) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Analytical Modeling: A mathematical modeling technique used for simulating, explaining, and making predictions about the mechanisms involved in complex physical processes. Other definitions:Wikipedia Reegle Introduction Analytical models are mathematical models that have a closed form solution. Or in other words the solution to the equations used to describe changes in

88

G-corrected holographic dark energy model  

E-Print Network (OSTI)

Here we investigate the holographic dark energy model in the framework of FRW cosmology where the Newtonian gravitational constant,$G$, is varying with cosmic time. Using the complementary astronomical data which support the time dependency of $G$, the evolutionary treatment of EoS parameter and energy density of dark energy model are calculated in the presence of time variation of $G$. It has been shown that in this case, the phantom regime can be achieved at the present time. We also calculate the evolution of $G$- corrected deceleration parameter for holographic dark energy model and show that the dependency of $G$ on the comic time can influence on the transition epoch from decelerated expansion to the accelerated phase. Finally we perform the statefinder analysis for $G$- corrected holographic model and show that this model has a shorter distance from the observational point in $s-r$ plane compare with original holographic dark energy model.

Malekjani, M

2013-01-01T23:59:59.000Z

89

Modeling of battery energy storage in the National Energy Modeling System  

DOE Green Energy (OSTI)

The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy`s Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated.

Swaminathan, S.; Flynn, W.T.; Sen, R.K. [Sentech, Inc., Bethesda, MD (United States)

1997-12-01T23:59:59.000Z

90

Numerical Modeling | Open Energy Information  

Open Energy Info (EERE)

Numerical Modeling Numerical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Numerical Modeling Details Activities (8) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Stress fields and magnitudes Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids Thermal: Thermal conduction and convection patterns in the subsurface Dictionary.png Numerical Modeling: A computer model that is designed to simulate and reproduce the mechanisms of a particular system. Other definitions:Wikipedia Reegle

91

Scripted Building Energy Modeling and Analysis (Presentation)  

SciTech Connect

Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

Macumber, D.

2012-10-01T23:59:59.000Z

92

An energy complexity model for algorithms  

Science Conference Proceedings (OSTI)

Energy consumption has emerged as a first class computing resource for both server systems and personal computing devices. The growing importance of energy has led to rethink in hardware design, hypervisors, operating systems and compilers. Algorithm ... Keywords: energy efficient algorithms, parallel disk i/o model

Swapnoneel Roy; Atri Rudra; Akshat Verma

2013-01-01T23:59:59.000Z

93

Modeling of Battery Energy Storage in the National Energy Modeling System  

E-Print Network (OSTI)

The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy's Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market Module of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated. MODELING OF BATTERY ENERGY STORAGE IN THE CONTENTS NATIONAL ENERGY MODELING SYSTEM iv CONTENTS Acknowledgments Sandia National Laboratories (SNL) would like to acknowledge and thank Dr. Christine E. Platt of the U.S. Department of Energy's Office of Utility Technologies for the support and funding of this work. Thanks are also due to Paul C. Butler and Abbas A. Akhil...

Shiva Swaminathan; William T. Flynn; Rajat K. Sen

1997-01-01T23:59:59.000Z

94

Conceptual Model | Open Energy Information  

Open Energy Info (EERE)

Conceptual Model Conceptual Model Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Conceptual Model Details Activities (17) Areas (4) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Rock types, rock chemistry, stratigraphic layer organization Stratigraphic/Structural: Location and shape of permeable and non-permeable structures, faults, fracture patterns Hydrological: Hydrothermal fluid flow characteristics, up-flow patterns Thermal: Temperature and pressure extrapolation throughout reservoir, heat source characteristics Dictionary.png Conceptual Model:

95

NETL - CARBEN Model | Open Energy Information  

Open Energy Info (EERE)

NETL - CARBEN Model NETL - CARBEN Model Jump to: navigation, search Tool Summary Name: NETL - CARBEN Model Agency/Company /Organization: National Energy Technology Laboratory Sector: Energy Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.netl.doe.gov/energy-analyses/refshelf/results.asp?ptype=Models/Too Cost: Free Language: English References: NETL - CARBEN Model[1] Logo: NETL - CARBEN Model CarBen is a tool for determining the reductions in greenhouse gas (GHG) emissions by sector based on user-supplied changes to the baseline such as electricity supply options, transportation sector fuel demand and fuel use, non-CO2 GHG emission abatement, carbon pricing, and international offsets. NETL - CARBEN Model CarBen is a tool for determining the reductions in greenhouse gas (GHG)

96

Towards increased policy relevance in energy modeling  

SciTech Connect

Historically, most energy models were reasonably equipped to assess the impact of a subsidy or change in taxation, but are often insufficient to assess the impact of more innovative policy instruments. We evaluate the models used to assess future energy use, focusing on industrial energy use. We explore approaches to engineering-economic analysis that could help improve the realism and policy relevance of engineering-economic modeling frameworks. We also explore solutions to strengthen the policy usefulness of engineering-economic analysis that can be built from a framework of multi-disciplinary cooperation. We focus on the so-called ''engineering-economic'' (or ''bottom-up'') models, as they include the amount of detail that is commonly needed to model policy scenarios. We identify research priorities for the modeling framework, technology representation in models, policy evaluation and modeling of decision-making behavior.

Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale

2003-07-29T23:59:59.000Z

97

Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy...  

Open Energy Info (EERE)

Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Model Jump to: navigation, search Logo: Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy:...

98

EIA - The National Energy Modeling System: An Overview 2003-Appendix...  

Annual Energy Outlook 2012 (EIA)

Appendix: Bibliography The National Energy Modeling System: An Overview 2003 Appendix: Bibliography The National Energy Modeling System is documented in a series of model...

99

Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

Modeling Techniques Modeling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Modeling Techniques Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Data and Modeling Techniques Information Provided by Technique Lithology: Rock types, rock chemistry, stratigraphic layer organization Stratigraphic/Structural: Stress fields and magnitudes, location and shape of permeable and non-permeable structures, faults, fracture patterns Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids, hydrothermal fluid flow characteristics, up-flow patterns

100

Category:Building Models | Open Energy Information  

Open Energy Info (EERE)

Models Models Jump to: navigation, search This category uses the form Buildings Model. Pages in category "Building Models" The following 12 pages are in this category, out of 12 total. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings General Merchandise 2009 TSD Chicago High Plug Load Baseline General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings General Merchandise 2009 TSD Chicago Low Plug Load Baseline G cont. General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings General Merchandise 2009 TSD Miami High Plug Load Baseline General Merchandise 2009 TSD Miami Low Plug Load 50% Energy Savings General Merchandise 2009 TSD Miami Low Plug Load Baseline G cont. Grocery 2009 TSD Chicago 50% Energy Savings Grocery 2009 TSD Chicago Baseline

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


101

The National Energy Modeling System: An overview  

Science Conference Proceedings (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

102

Directory of energy information administration models 1995  

Science Conference Proceedings (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

103

Directory of Energy Information Administration Models 1993  

SciTech Connect

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

104

Modelling Energy Consumption in China  

E-Print Network (OSTI)

Energy consumption in China has attracted considerable research interest since the middle 1990s. This is largely prompted by the environmental ramifications of the extensive use of fossil fuels in the country to propel two decades of high economic growth. Since the late 1980s, there has been an increasing awareness on the part of the Chinese government of the imperative for the balance of economic growth and environmental protection. The government has since taken various measures ranging from encouraging energy-saving practice, controlling waste discharges to financing R & D programs on improving energy efficiency. Against this backdrop has seen a constant decline of the energy intensity of the economy, measured as the ratio of total energy consumed in standard coal equivalent to the real GDP since 1989. Using the 1987 and 1997 input-output tables for China, the present study examines the impact of technical and structural changes in the economy on industry fuel consumption over the 10-year period. Technical changes are reflected in changes in direct input-output coefficients, which capture the technical evolvement of intermediate production processes. Structural changes refer to shifts in the pattern of final demand for energy, including the import and export composition of various fuels. Six fuels are included in the study, namely, coal, oil, natural gas, electricity, petroleum and coke and gas, which cover all of the energy types available in the input-output tables. It is found that the predominant force of falling energy intensity was changes in direct energy input requirements in various industries. Such changes were responsible for a reduction in the consumption of four of the six fuels per unit of total output. Structural changes were not conducive for improv...

Baiding Hu Department; Baiding Hu

2004-01-01T23:59:59.000Z

105

NREL: Energy Analysis - Energy Sciences Technology Analysis Models...  

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

of system flexibility. It can also evaluate the role of enabling technologies such as demand response and energy storage. It is an updated version of the PVFlex model described in...

106

Clustering Properties of Dynamical Dark Energy Models  

E-Print Network (OSTI)

We provide a generic but physically clear discussion of the clustering properties of dark energy models. We explicitly show that in quintessence-type models the dark energy fluctuations, on scales smaller than the Hubble radius, are of the order of the perturbations to the Newtonian gravitational potential, hence necessarily small on cosmological scales. Moreover, comparable fluctuations are associated with different gauge choices. We also demonstrate that the often used homogeneous approximation is unrealistic, and that the so-called dark energy mutation is a trivial artifact of an effective, single fluid description. Finally, we discuss the particular case where the dark energy fluid is coupled to dark matter.

P. P. Avelino; L. M. G. Beca; C. J. A. P. Martins

2008-02-01T23:59:59.000Z

107

CMIEM: the computerised model for intelligent energy management  

Science Conference Proceedings (OSTI)

Nowadays, the observed high energy consumption in most of the enterprises and the increased environmental preservation required are a proof that the energy management is essential to be applied in the sectors of final demand. Energy management as a mean ... Keywords: DSS, energy audit, energy consumption, energy cost reduction, energy decision support systems, energy efficiency, energy indicators, intelligent energy management, mathematical modelling

Konstantinos D. Patlitzianas; Alexandra Papadopoulou; Alexandros Flamos; John Psarras

2005-04-01T23:59:59.000Z

108

Residential Prototype Building Models | Building Energy Codes...  

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

the 2006, 2009, and 2012 editions of the IECC are listed in Table 1. Each compressed (.zip) file includes EnergyPlus model input files (.idf) and corresponding output files...

109

Inconsistences in Interacting Agegraphic Dark Energy Models  

E-Print Network (OSTI)

It is found that the origin agegraphic dark energy tracks the matter in the matter-dominated epoch and then the subsequent dark-energy-dominated epoch becomes impossible. It is argued that the difficulty can be removed when the interaction between the agegraphic dark energy and dark matter is considered. In the note, by discussing three different interacting models, we find that the difficulty still stands even in the interacting models. Furthermore, we find that in the interacting models, there exists the other serious inconsistence that the existence of the radiation/matter-dominated epoch contradicts the ability of agegraphic dark energy in driving the accelerated expansion. The contradiction can be avoided in one of the three models if some constraints on the parameters hold.

C. Y. Sun; Yu Song

2010-08-04T23:59:59.000Z

110

China End-Use Energy Demand Modeling  

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

China End-Use Energy Demand Modeling China End-Use Energy Demand Modeling Speaker(s): Nan Zhou Date: October 8, 2009 (All day) Location: 90-3122 As a consequence of soaring energy demand due to the staggering pace of its economic growth, China overtook the United States in 2007 to become the world's biggest contributor to CO2 emissions (IEA, 2007). Since China is still in an early stage of industrialization and urbanization, economic development promises to keep China's energy demand growing strongly. Furthermore, China's reliance on fossil fuel is unlikely to change in the long term, and increased needs will only heighten concerns about energy security and climate change. In response, the Chinese government has developed a series of policies and targets aimed at improving energy efficiency, including both short-term targets and long-term strategic

111

I Found My Energy Role Model | Department of Energy  

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

I Found My Energy Role Model I Found My Energy Role Model I Found My Energy Role Model August 24, 2009 - 5:00am Addthis Allison Casey Senior Communicator, NREL Last week, while home on a rare weekday afternoon, I happened to catch an episode of Oprah. One of her guests on this particular day was the actor Ed Begley, Jr. The episode caught my attention because it wasn't focused on his acting, but on his quest to make his home and life as environmentally friendly and energy efficient as possible. I had heard of Mr. Begley's efforts in this arena in the past (apparently he has a reality TV show), but I didn't know the details, so I tuned in. To be honest, I wasn't expecting to learn much or even be very impressed. After all, the guy is a famous actor and presumably has financial resources

112

I Found My Energy Role Model | Department of Energy  

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

I Found My Energy Role Model I Found My Energy Role Model I Found My Energy Role Model August 24, 2009 - 5:00am Addthis Allison Casey Senior Communicator, NREL Last week, while home on a rare weekday afternoon, I happened to catch an episode of Oprah. One of her guests on this particular day was the actor Ed Begley, Jr. The episode caught my attention because it wasn't focused on his acting, but on his quest to make his home and life as environmentally friendly and energy efficient as possible. I had heard of Mr. Begley's efforts in this arena in the past (apparently he has a reality TV show), but I didn't know the details, so I tuned in. To be honest, I wasn't expecting to learn much or even be very impressed. After all, the guy is a famous actor and presumably has financial resources

113

QCD parton model at collider energies  

Science Conference Proceedings (OSTI)

Using the example of vector boson production, the application of the QCD improved parton model at collider energies is reviewed. The reliability of the extrapolation to SSC energies is assessed. Predictions at ..sqrt..S = 0.54 TeV are compared with data. 21 references.

Ellis, R.K.

1984-09-01T23:59:59.000Z

114

World Energy Projection System model documentation  

SciTech Connect

The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

Hutzler, M.J.; Anderson, A.T.

1997-09-01T23:59:59.000Z

115

Policy modeling for industrial energy use  

SciTech Connect

The international workshop on Policy Modeling for Industrial Energy Use was jointly organized by EETA (Professional Network for Engineering Economic Technology Analysis) and INEDIS (International Network for Energy Demand Analysis in the Industrial Sector). The workshop has helped to layout the needs and challenges to include policy more explicitly in energy-efficiency modeling. The current state-of-the-art models have a proven track record in forecasting future trends under conditions similar to those faced in the recent past. However, the future of energy policy in a climate-restrained world is likely to demand different and additional services to be provided by energy modelers. In this workshop some of the international models used to make energy consumption forecasts have been discussed as well as innovations to enable the modeling of policy scenarios. This was followed by the discussion of future challenges, new insights in the data needed to determine the inputs into energy model s, and methods to incorporate decision making and policy in the models. Based on the discussion the workshop participants came to the following conclusions and recommendations: Current energy models are already complex, and it is already difficult to collect the model inputs. Hence, new approaches should be transparent and not lead to extremely complex models that try to ''do everything''. The model structure will be determined by the questions that need to be answered. A good understanding of the decision making framework of policy makers and clear communication on the needs are essential to make any future energy modeling effort successful. There is a need to better understand the effects of policy on future energy use, emissions and the economy. To allow the inclusion of policy instruments in models, evaluation of programs and instruments is essential, and need to be included in the policy instrument design. Increased efforts are needed to better understand the effects of innovative (no n-monetary) policy instruments through evaluation and to develop approaches to model both conventional and innovative policies. The explicit modeling of barriers and decision making in the models seems a promising way to enable modeling of conventional and innovative policies. A modular modeling approach is essential to not only provide transparency, but also to use the available resources most effectively and efficiently. Many large models have been developed in the past, but have been abandoned after only brief periods of use. A development path based on modular building blocks needs the establishment of a flexible but uniform modeling framework. The leadership of international agencies and organizations is essential in the establishment of such a framework. A preference is given for ''softlinks'' between different modules and models, to increase transparency and reduce complexity. There is a strong need to improve the efficiency of data collection and interpretation efforts to produce reliable model inputs. The workshop participants support the need for the establishment of an (in-)formal exchanges of information, as well as modeling approaches. The development of an informal network of research institutes and universities to help build a common dataset and exchange ideas on specific areas is proposed. Starting with an exchange of students would be a relative low-cost way to start such collaboration. It would be essential to focus on specific topics. It is also essential to maintain means of regular exchange of ideas between researchers in the different focus points.

Worrell, Ernst; Park, Hi-Chun; Lee, Sang-Gon; Jung, Yonghun; Kato, Hiroyuki; Ramesohl, Stephan; Boyd, Gale; Eichhammer, Wolfgang; Nyboer, John; Jaccard, Mark; Nordqvist, Joakim; Boyd, Christopher; Klee, Howard; Anglani, Norma; Biermans, Gijs

2003-03-01T23:59:59.000Z

116

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1] System Advisor Model [2]

117

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from System Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

118

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from Solar Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot

119

Modeling window optics for building energy analysis  

SciTech Connect

This report discusses modeling the optics of windows for the purposes of simulating building energy requirements or daylighting availability. The theory for calculating the optical performance of conventional windows is reviewed. The simplifications that might commonly be made in creating computational models are analyzed. Some of the possibilities for more complex windows are analyzed, and the type of model and data that would be necessary to simulate such windows in a building energy analysis program are determined. It is shown that the optical performance of different window types can be simulated with models which require varying amounts of memory or computing time. It is recommended that a building energy analysis program have all models available and use the most efficient for any given window.

Walton, G.N.

1986-07-01T23:59:59.000Z

120

JEDI Models | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon 禄 JEDI Models Jump to: navigation, search The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation at the local and state levels.[1] Based on project-specific or default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area that could reasonably be supported by a power generation project. For example, JEDI estimates the number of in-state construction jobs from a new wind farm.[2] You can learn more about the JEDI model for wind and find reports based on

Note: This page contains sample records for the topic "nattional energy modeling" 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

Stringy Model of Cosmological Dark Energy  

E-Print Network (OSTI)

A string field theory(SFT) nonlocal model of the cosmological dark energy providing w<-1 is briefly surveyed. We summarize recent developments and open problems, as well as point out some theoretical issues related with others applications of the SFT nonlocal models in cosmology, in particular, in inflation and cosmological singularity.

Irina Ya. Aref'eva

2007-10-16T23:59:59.000Z

122

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

123

US Energy Service Company Industry: History and Business Models...  

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

and Business Models US Energy Service Company Industry: History and Business Models Information about the history of US Energy Service Company including industry history,...

124

Availability of the National Energy Modeling System (NEMS) Archive.  

U.S. Energy Information Administration (EIA)

Availability of the National Energy Modeling System (NEMS) Archive. NEMS has been developed primarily for use by the modelers at Energy Information

125

Comparison of Building Energy Modeling Programs: Building Loads  

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

Comparison of Building Energy Modeling Programs: Building Loads Title Comparison of Building Energy Modeling Programs: Building Loads Publication Type Report LBNL Report Number...

126

Model Predictive Control of Thermal Energy Storage in Building...  

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

Model Predictive Control of Thermal Energy Storage in Building Cooling Systems Title Model Predictive Control of Thermal Energy Storage in Building Cooling Systems Publication Type...

127

Coal Market Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Coal Market Module of the National Energy Modeling System Model Documentation 2013 June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy

128

Modeling Windows in Energy Plus with Simple Performance Indices  

E-Print Network (OSTI)

Modeling Windows in Energy Plus with Simple Performanceof California. Modeling Windows in Energy Plus with SimpleE+), cannot use standard window performance indices (U,

Arasteh, Dariush

2010-01-01T23:59:59.000Z

129

Modeling of Energy Savings by Using Cathode Design and Inserts  

Science Conference Proceedings (OSTI)

Electrical modeling can easily explain the energy savings in the cathode. Magneto-hydrodynamic modeling shows why and how specific energy can be saved in...

130

Energy landscapes of model polyalanines  

Science Conference Proceedings (OSTI)

A parallel searching algorithm based on eigenvector-following is used to generate databases of minima and transition states for all-atom models of Ac(ala) 12 NHMe and Ac(ala) 16 NHMe . The AMBER95 force field of Cornell et al. [J. Am. Chem. Soc. 117

Paul N. Mortenson; David A. Evans; David J. Wales

2002-01-01T23:59:59.000Z

131

ICCT Roadmap Model | Open Energy Information  

Open Energy Info (EERE)

ICCT Roadmap Model ICCT Roadmap Model Jump to: navigation, search Tool Summary Name: ICCT Roadmap Model Agency/Company /Organization: International Council on Clean Transportation (ICCT) Sector: Climate, Energy User Interface: Spreadsheet Complexity/Ease of Use: Moderate Website: www.theicct.org/global-transportation-roadmap-model Cost: Free Related Tools Global Atmospheric Pollution Forum Air Pollutant Emission Inventory Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions Benefit Tool Threshold 21 Model ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS An Excel-based modeling tool intended to aid policy makers with identifying trends, evaluating emissions and energy efficiency with respect to various policy options, and generate strategies to reduce greenhouse gas emissions

132

System Advisor Model (SAM) | Open Energy Information  

Open Energy Info (EERE)

System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1]

133

Model Policies | Building Energy Codes Program  

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

Center Center Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Model Policies States and local jurisdictions across the nation have demonstrated leadership in developing programs and policies that both encourage and require compliance with energy codes, stretch codes (e.g., above-minimum codes) and green building techniques, energy-efficiency practices, and environmentally-friendly procedures. The laws and regulations behind these programs and policies can help states and jurisdictions establish unique policies to address their particular needs. Model policies for residential and commercial building construction have

134

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

135

Advanced Modeling & Simulation | Department of Energy  

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

Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation ADVANCING THE STATE OF THE ART Innovation advances science. Historically, innovation resulted almost exclusively from fundamental theories combined with observation and experimentation over time. With advancements in engineering, computing power and visualization tools, scientists from all disciplines are gaining insights into physical systems in ways not possible with traditional approaches alone. Modeling and simulation has a long history with researchers and scientists exploring nuclear energy technologies. In fact, the existing fleet of currently operating reactors was licensed with computational tools that were produced or initiated in the 1970s. Researchers and scientists in

136

NREL: Energy Analysis - Models and Tools Archive  

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

Models and Tools Archive Models and Tools Archive Through the years, NREL has developed and supported several models and tools to assess, analyze, and optimize renewable energy and energy efficiency technologies. Some of these have been transferred to the private market. This page lists tools we have supported, but that are no longer active. See current models and tools here. ADVISOR (ADvanced VehIcle SimulatOR) Simulate and analyze conventional, advanced, light, and heavy vehicles, including hybrid electric and fuel cell vehicles. In 2003, ADVISOR was commercialized by AVL Powertrain Engineering, Inc. Hybrid2 Conduct detailed long-term performance and economic analysis on a wide variety of hybrid power systems. RET Finance Calculate the cost of energy of renewable electricity generation

137

Model Wind Energy Facility Ordinance | Department of Energy  

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

Energy Facility Ordinance Energy Facility Ordinance Model Wind Energy Facility Ordinance < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Wind Buying & Making Electricity Program Info State Maine Program Type Solar/Wind Permitting Standards Provider Land Use Planning Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative effort involving several state agencies, the model itself has no legal or regulatory authority. In 2008, the Governor's Task Force on Wind Power Development issued its final report. One of the Task Force's recommendations was that the State

138

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

139

Modeling the residential demand for energy  

Science Conference Proceedings (OSTI)

Demand for energy is derived from the demand for services that appliances and energy together provide. This raises a number of serious econometric issues when estimating energy-demand functions: delineation of short-run and long-run household responses, specification of the price variable and in particular, the assumption that the model is recursive, or in other words, that the appliance choice equation and the energy consumption equation are uncorrelated. The dissertation utilizes a structural model of energy use whose theoretical underpinnings derive from the conditional logit model and an extension of that model to the joint-discrete/continuous case by Dubin and McFadden (1980). It uses the 1978 to 1979 National Interim Energy Comsumption Survey. Three appliance portfolio choices are analyzed; choice of water and space heating and central air-conditioning; choice of room air conditioners; and choice of clothes dryers, either as multinomial logit or binary probit choices. Results varied widely across the appliance choice considered; use of Hausman's test led to acceptance of the null hypothesis of orthogonality in some cases but not in others. Demand for electricity and natural gas tended to be price inelastic; however, estimated own-price effects differed considerably when disaggregated by appliance categories and across methods of estimation.

Kirby, S.N.

1983-01-01T23:59:59.000Z

140

Residential Demand Module of the National Energy Modeling ...  

U.S. Energy Information Administration (EIA)

Residential Demand Module of the National Energy Modeling System: Model Documentation 2013 November 2013 Independent Statistics & Analysis ...

Note: This page contains sample records for the topic "nattional energy modeling" 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

CTG Sustainable Communities Model | Open Energy Information  

Open Energy Info (EERE)

CTG Sustainable Communities Model CTG Sustainable Communities Model Jump to: navigation, search Tool Summary Name: CTG Sustainable Communities Model Agency/Company /Organization: CTG Energetics Inc. Sector: Energy Focus Area: Buildings, Transportation Phase: Determine Baseline, Develop Goals Topics: Co-benefits assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.ctg-net.com/energetics/whatwedo/sustainableCommunities.aspx References: http://www.ctg-net.com/energetics/resources/newsDetails.aspx?id=17 "This model quantifies total CO2e emissions allowing communities the ability to optimize planning decisions that result in the greatest environmental benefit for the least cost. Total CO2e emissions are based on emissions from energy usage, water consumption and transportation. The

142

Building Energy Model Development for Retrofit Homes  

SciTech Connect

Based on previous research conducted by Pacific Northwest National Laboratory and Florida Solar Energy Center providing technical assistance to implement 22 deep energy retrofits across the nation, 6 homes were selected in Florida and Texas for detailed post-retrofit energy modeling to assess realized energy savings (Chandra et al, 2012). However, assessing realized savings can be difficult for some homes where pre-retrofit occupancy and energy performance are unknown. Initially, savings had been estimated using a HERS Index comparison for these homes. However, this does not account for confounding factors such as occupancy and weather. This research addresses a method to more reliably assess energy savings achieved in deep energy retrofits for which pre-retrofit utility bills or occupancy information in not available. A metered home, Riverdale, was selected as a test case for development of a modeling procedure to account occupancy and weather factors, potentially creating more accurate estimates of energy savings. This 搕rue up procedure was developed using Energy Gauge USA software and post-retrofit homeowner information and utility bills. The 12 step process adjusts the post-retrofit modeling results to correlate with post-retrofit utility bills and known occupancy information. The 搕rued post retrofit model is then used to estimate pre-retrofit energy consumption by changing the building efficiency characteristics to reflect the pre-retrofit condition, but keeping all weather and occupancy-related factors the same. This creates a pre-retrofit model that is more comparable to the post-retrofit energy use profile and can improve energy savings estimates. For this test case, a home for which pre- and post- retrofit utility bills were available was selected for comparison and assessment of the accuracy of the 搕rue up procedure. Based on the current method, this procedure is quite time intensive. However, streamlined processing spreadsheets or incorporation into existing software tools would improve the efficiency of the process. Retrofit activity appears to be gaining market share, and this would be a potentially valuable capability with relevance to marketing, program management, and retrofit success metrics.

Chasar, David; McIlvaine, Janet; Blanchard, Jeremy; Widder, Sarah H.; Baechler, Michael C.

2012-09-30T23:59:59.000Z

143

Property:Buildings/Models | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon 禄 Property:Buildings/Models Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Publication. Pages using the property "Buildings/Models" Showing 2 pages using this property. G General Merchandise 50% Energy Savings Technical Support Document 2009 + General Merchandise 2009 TSD Chicago High Plug Load Baseline +, General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings +, General Merchandise 2009 TSD Chicago Low Plug Load Baseline +, ... Grocery Store 50% Energy Savings Technical Support Document 2009 + Grocery 2009 TSD Chicago Baseline +, Grocery 2009 TSD Chicago 50% Energy Savings +, Grocery 2009 TSD Miami Baseline +, ...

144

Regional Economic Models, Inc. (REMI) Model | Open Energy Information  

Open Energy Info (EERE)

Regional Economic Models, Inc. (REMI) Model Regional Economic Models, Inc. (REMI) Model 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: REMI Agency/Company /Organization: Regional Economic Models Inc. Sector: Energy Focus Area: Transportation Phase: Determine Baseline, Develop Goals Topics: Baseline projection, GHG inventory, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.remi.com/ Cost: Paid References: http://www.remi.com/index.php?page=overview&hl=en_US Related Tools Job and Economic Development Impact Models (JEDI) The Integrated Environmental Strategies Handbook: A Resource Guide for Air Quality Planning

145

Making sense of the model energy code  

Science Conference Proceedings (OSTI)

Newly accessible thanks to user-friendly software, the Model Energy Code can help builders both design houses that qualify for federal financing and market their houses` energy efficiency. This article discusses the newly enacted federal code. Topics include the following: what does the MEC require; common questions about the MEC; MEC compliance materials; building it right; climate specific code; making MEC work: lessons from Michigan. 3 figs., 1 tab.

Turchen, S.; Conner, C.

1996-03-01T23:59:59.000Z

146

Energy Injection in GRB Afterglow Models  

E-Print Network (OSTI)

We extend the standard fireball model, widely used to interpret gamma-ray burst (GRB) afterglow light curves, to include energy injections, and apply the model to the afterglow light curves of GRB 990510, GRB 000301C and GRB 010222. We show that discrete energy injections can cause temporal variations in the optical light curves and present fits to the light curves of GRB 000301C as an example. A continuous injection may be required to interpret other bursts such as GRB 010222. The extended model accounts reasonably well for the observations in all bands ranging from X-rays to radio wavelengths. In some cases, the radio light curves indicate that additional model ingredients may be needed.

Gudlaugur Johannesson; Gunnlaugur Bjornsson; Einar H. Gudmundsson

2006-05-11T23:59:59.000Z

147

Modelling Correlation in Carbon and Energy Markets  

E-Print Network (OSTI)

, reflecting usage of installed generation capacity. The two hydrocarbon fuels, whose price interactions with carbon emission allowances are under consideration in this study, natural gas and hard coal, together account for approximately 35% of total fuel input... Modelling Correlation in Carbon and Energy Markets Philipp Koenig February 2011 CWPE 1123 & EPRG 1107 www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract Modelling Correlation...

Koenig, Philipp

2011-02-10T23:59:59.000Z

148

Sustainable energy for developing countries : modelling transitions to renewable and clean energy in rapidly developing countries.  

E-Print Network (OSTI)

??The main objective of this thesis is first to adapt energy models for the use in developing countries and second to model sustainable energy transitions (more)

Urban, Frauke

2009-01-01T23:59:59.000Z

149

NREL: Energy Storage - Modeling and Simulation  

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

Modeling and Simulation Modeling and Simulation Two NREL researchers are silhouetted in front of computer screens displaying thermal model images. NREL modeling and simulation experts use an extensive portfolio of validated tools to assess ES solutions for advanced vehicles. Photo by Dennis Schroeder, NREL/PIX 22009 Multi-physics simulation of energy storage (ES) devices provides a less expensive, faster, and more controlled alternative to in-lab testing in the early stages of research and development (R&D)-which eventually leads to longer lasting, dependable and powerful batteries. NREL is a recognized leader in systems-level thermal design, performance, lifespan, reliability, and safety modeling and simulation. The lab's 1-D and 3-D steady-state and transient multi-physics models are used to examine heat transfer,

150

Energy-oriented models for WDM networks Abstract--A realistic energy-oriented model is necessary to  

E-Print Network (OSTI)

Energy-oriented models for WDM networks Abstract-- A realistic energy-oriented model is necessary to formally characterize the energy consumption and the consequent carbon footprint of actual and future high-capacity WDM networks. The energy model describes the energy consumption of the various network elements (NE

Polit猫cnica de Catalunya, Universitat

151

Zero Energy States In Supersymmetric Matrix Models  

E-Print Network (OSTI)

Summary: Symmetry reductions of bosonic matrix models, along with some subtleties, are pointed out; the asymptotic form of $SU(2)$ zero-energy wavefunctions is mentioned, and a nonperturbative approach to the solution of the full equations is described.CER 2140141 BASE L 13

Hoppe, J

2000-01-01T23:59:59.000Z

152

Regional Dynamics Model (REDYN) | Open Energy Information  

Open Energy Info (EERE)

Regional Dynamics Model (REDYN) Regional Dynamics Model (REDYN) Jump to: navigation, search Tool Summary Name: REDYN Agency/Company /Organization: Regional Dynamics Inc. Sector: Energy Phase: Determine Baseline, "Evaluate Options and Determine Feasibility" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property., Develop Goals Topics: Market analysis, Policies/deployment programs, Co-benefits assessment, - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.regionaldynamics.com/

153

Biomass Scenario Model | Open Energy Information  

Open Energy Info (EERE)

Biomass Scenario Model Biomass Scenario Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biomass Scenario Model (BSM) Agency/Company /Organization: National Renewable Energy Laboratory Partner: Department of Energy (DOE) Office of the Biomass Program Sector: Energy Focus Area: Biomass Phase: Determine Baseline, Evaluate Options Topics: Pathways analysis, Policies/deployment programs, Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: bsm.nrel.gov/ Country: United States Cost: Free OpenEI Keyword(s): EERE tool, Biomass Scenario Model UN Region: Northern America Coordinates: 37.09024掳, -95.712891掳 Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.09024,"lon":-95.712891,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

154

Development of an Integrated Global Energy Model  

Science Conference Proceedings (OSTI)

The primary objective of this research was to develop a forefront analysis tool for application to enhance understanding of long-term, global, nuclear-energy and nuclear-material futures. To this end, an existing economics-energy-environmental (E{sup 3}) model was adopted, modified, and elaborated to examine this problem in a multi-regional (13), long-term ({approximately}2,100) context. The E{sup 3} model so developed was applied to create a Los Alamos presence in this E{sup 3} area through ''niche analyses'' that provide input to the formulation of policies dealing with and shaping of nuclear-energy and nuclear-materials futures. Results from analyses using the E{sup 3} model have been presented at a variety of national and international conferences and workshops. Through use of the E{sup 3} model Los Alamos was afforded the opportunity to participate in a multi-national E{sup 3} study team that is examining a range of global, long-term nuclear issues under the auspices of the IAEA during the 1998-99 period . Finally, the E{sup 3} model developed under this LDRD project is being used as an important component in more recent Nuclear Material Management Systems (NMMS) project.

Krakowski, R.A.

1999-07-08T23:59:59.000Z

155

Observing and modeling Earths energy flows  

SciTech Connect

This article reviews, from the authors perspective, progress in observing and modeling energy flows in Earth's climate system. Emphasis is placed on the state of understanding of Earth's energy flows and their susceptibility to perturbations, with particular emphasis on the roles of clouds and aerosols. More accurate measurements of the total solar irradiance and the rate of change of ocean enthalpy help constrain individual components of the energy budget at the top of the atmosphere to within {+-}2 W m{sup -2}. The measurements demonstrate that Earth reflects substantially less solar radiation and emits more terrestrial radiation than was believed even a decade ago. Active remote sensing is helping to constrain the surface energy budget, but new estimates of downwelling surface irradiance that benefit from such methods are proving difficult to reconcile with existing precipitation climatologies. Overall, the energy budget at the surface is much more uncertain than at the top of the atmosphere. A decade of high-precision measurements of the energy budget at the top of the atmosphere is providing new opportunities to track Earth's energy flows on timescales ranging from days to years, and at very high spatial resolution. The measurements show that the principal limitation in the estimate of secular trends now lies in the natural variability of the Earth system itself. The forcing-feedback-response framework, which has developed to understand how changes in Earth's energy flows affect surface temperature, is reviewed in light of recent work that shows fast responses (adjustments) of the system are central to the definition of the effective forcing that results from a change in atmospheric composition. In many cases, the adjustment, rather than the characterization of the compositional perturbation (associated, for instance, with changing greenhouse gas concentrations, or aerosol burdens), limits accurate determination of the radiative forcing. Changes in clouds contribute importantly to this adjustment and thus contribute both to uncertainty in estimates of radiative forcing and to uncertainty in the response. Models are indispensable to calculation of the adjustment of the system to a compositional change but are known to be flawed in their representation of clouds. Advances in tracking Earth's energy flows and compositional changes on daily through decadal timescales are shown to provide both a critical and constructive framework for advancing model development and evaluation.

Stevens B.; Schwartz S.

2012-05-11T23:59:59.000Z

156

Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025  

E-Print Network (OSTI)

DATES COVERED (From - To) Renewable Energy and EfficiencyModels Addressed a Common High Renewable Energy PenetrationWood (OnLocation) National Renewable Energy Laboratory 1617

Blair, N.

2010-01-01T23:59:59.000Z

157

Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS  

Open Energy Info (EERE)

Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Model Jump to: navigation, search Tool Summary Name: Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Model Agency/Company /Organization: National Renewable Energy Laboratory, Centro de Energ铆as Renovables (CER), United States Department of Energy Sector: Energy Focus Area: Solar Resource Type: Software/modeling tools, Webinar, Training materials References: Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Model[1] Logo: Webinar-Terrestrial Solar Spectral Modeling for Renewable Energy: SMARTS Model Webinar Video SMARTSwebinar.JPG Announcement " Monday, December 6, 2010 11-12 a.m. Golden, CO 1-2 p.m., Washington, D.C. 3-4 p.m., Santiago, Chile

158

Minimum cost model energy code envelope requirements  

SciTech Connect

This paper describes the analysis underlying development of the U.S. Department of Energy`s proposed revisions of the Council of American Building Officials (CABO) 1993 Model Energy Code (MEC) building thermal envelope requirements for single-family and low-rise multifamily residences. This analysis resulted in revised MEC envelope conservation levels based on an objective methodology that determined the minimum-cost combination of energy efficiency measures (EEMs) for residences in different locations around the United States. The proposed MEC revision resulted from a cost-benefit analysis from the consumer`s perspective. In this analysis, the costs of the EEMs were balanced against the benefit of energy savings. Detailed construction, financial, economic, and fuel cost data were compiled, described in a technical support document, and incorporated in the analysis. A cost minimization analysis was used to compare the present value of the total long-nm costs for several alternative EEMs and to select the EEMs that achieved the lowest cost for each location studied. This cost minimization was performed for 881 cities in the United States, and the results were put into the format used by the MEC. This paper describes the methodology for determining minimum-cost energy efficiency measures for ceilings, walls, windows, and floors and presents the results in the form of proposed revisions to the MEC. The proposed MEC revisions would, on average, increase the stringency of the MEC by about 10%.

Connor, C.C.; Lucas, R.G.; Turchen, S.J.

1994-08-01T23:59:59.000Z

159

Gold Standard Program Model | Open Energy Information  

Open Energy Info (EERE)

Gold Standard Program Model Gold Standard Program Model Jump to: navigation, search Tool Summary Name: Gold Standard Program Model Agency/Company /Organization: World Wildlife Fund Sector: Climate, Energy User Interface: Other Complexity/Ease of Use: Moderate Website: www.cdmgoldstandard.org/project-certification/rules-and-toolkit Cost: Paid Related Tools Environmental Benefits Mapping and Analysis Program (BenMAP) MIT Emissions Prediction and Policy Analysis (EPPA) Model ProForm ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS A bottom-up method of certifying Kyoto Protocol Clean Development Mechanism projects and voluntary programs that result in verifiable co-benefits. Approach It is a bottom up method of certifying Kyoto Protocol Clean Development Mechanism projects as well as voluntary programs that result in verifiable

160

EPA NONROAD Model | Open Energy Information  

Open Energy Info (EERE)

EPA NONROAD Model EPA NONROAD Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: EPA NONROAD Model Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Transportation, Agriculture Phase: Determine Baseline, Evaluate Options Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/oms/nonrdmdl.htm Country: United States Cost: Free UN Region: Northern America References: http://www.epa.gov/oms/nonrdmdl.htm Develops estimates of criteria pollutant and CO2 emissions for non-road sources. Develops estimates of criteria pollutant and CO2 emissions for non-road sources (e.g., RVs, agricultural equipment, construction equipment, etc.). Does not address commercial marine vessels, locomotives, or aircraft.

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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

Modeling and simulation of HVAC faults in EnergyPlus  

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

simulation of HVAC faults in EnergyPlus Title Modeling and simulation of HVAC faults in EnergyPlus Publication Type Conference Paper Refereed Designation Refereed Year of...

162

Long-Term Modeling of the California Energy System  

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

energy systems and climate policies. Some issues specific to modeling the California energy system will be discussed, including building equipment efficiency and electricity trade....

163

Integrating Module of the National Energy Modeling System (INT)  

U.S. Energy Information Administration (EIA)

The National Energy Modeling System (NEMS) represents a general equilibrium solution of the interactions between the U.S. energy markets and the economy.

164

Modelling Concentrating Solar Power with Thermal Energy Storage...  

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

limited energy available for either generation or storage. The modelled dispatch of CSP energy in PLEXOS is based on the hydro generation module, modified to incorporate the...

165

Changing climate and energy modeling: a review  

SciTech Connect

A review of a 1983 National Academy of Sciences report on the greenhouse effect focuses on the link between energy and carbon dioxide (CO/sub 2/) emissions, which is examined in Chapter 2 of the report. While in substantial agreement with the major qualitative conclusions and appreciative of the literature review, the authors note a bias toward low carbon emissions in the year 2000 in the model structure. They suggest introducing some process model characteristics, such as conversion processes. They also note the need to broaden research to other atmospheric constituents with potential to effect climatic change. 24 references.

Reilly, J.; Edmonds, J.

1985-07-01T23:59:59.000Z

166

Meteorological modeling applications in building energy simulations  

SciTech Connect

Researchers use sophisticated computer models to predict building energy use. These models require extensive input data including building characteristics and dimensions, load schedules, and weather data. The typical source for weather data is the weather station at the nearest airport. Specifically, hourly values of ambient air temperature are necessary. The data obtained from local airports, however, may be significantly different from the actual weather experienced by a nearby residential building. Thus, using local airport data when simulating a residential building may yield inaccurate results. Furthermore, researchers interested in evaluating the potential for heat island mitigation schemes (such as urban tree planting programs) to decrease building air-conditioning energy use need a method for modifying the local airport data accordingly.

Sailor, D.J.; Akbari, H.

1992-08-01T23:59:59.000Z

167

Scripted Building Energy Modeling and Analysis: Preprint  

SciTech Connect

Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.

Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.

2012-08-01T23:59:59.000Z

168

Industrial Demand Module 1999, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. Crawford Honeycutt

1999-01-01T23:59:59.000Z

169

Industrial Demand Module 2005, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. C. Honeycutt

2005-05-01T23:59:59.000Z

170

Industrial Demand Module 2006, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. C. Honeycutt

2006-07-01T23:59:59.000Z

171

Industrial Demand Module 2009, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. C. Honeycutt

2009-05-20T23:59:59.000Z

172

Industrial Demand Module 2003, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. Crawford Honeycutt

2003-12-01T23:59:59.000Z

173

Industrial Demand Module 2007, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. C. Honeycutt

2007-03-21T23:59:59.000Z

174

Industrial Demand Module 2002, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. Crawford Honeycutt

2001-12-01T23:59:59.000Z

175

Industrial Demand Module 2001, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. Crawford Honeycutt

2000-12-01T23:59:59.000Z

176

Industrial Demand Module 2008, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. C. Honeycutt

2008-06-01T23:59:59.000Z

177

Industrial Demand Module 2000, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. Crawford Honeycutt

2000-01-01T23:59:59.000Z

178

Industrial Demand Module 2004, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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.

T. Crawford Honeycutt

2004-02-01T23:59:59.000Z

179

Model documentation report: Transportation sector model of the National Energy Modeling System  

SciTech Connect

This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

Not Available

1994-03-01T23:59:59.000Z

180

Model for Energy Supply System Alternatives and their General Environmental  

Open Energy Info (EERE)

Model for Energy Supply System Alternatives and their General Environmental Model for Energy Supply System Alternatives and their General Environmental Impacts (MESSAGE) Jump to: navigation, search Tool Summary Name: Model for Energy Supply System Alternatives and their General Environmental Impacts Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways analysis Resource Type: Software/modeling tools Website: www-tc.iaea.org/tcweb/abouttc/strategy/Thematic/pdf/presentations/ener References: Overview of IAEA PESS Models [1] "MESSAGE combines technologies and fuels to construct so-called "energy chains", making it possible to map energy flows from supply (resource extraction) to demand (energy services). The model can help design long

Note: This page contains sample records for the topic "nattional energy modeling" 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

Model for Energy Supply System Alternatives and their General Environmental  

Open Energy Info (EERE)

Model for Energy Supply System Alternatives and their General Environmental Model for Energy Supply System Alternatives and their General Environmental Impacts (MESSAGE) (Redirected from Model for Energy Supply System Alternatives and their General Environmental Impacts) Jump to: navigation, search Tool Summary Name: Model for Energy Supply System Alternatives and their General Environmental Impacts Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways analysis Resource Type: Software/modeling tools Website: www-tc.iaea.org/tcweb/abouttc/strategy/Thematic/pdf/presentations/ener References: Overview of IAEA PESS Models [1] "MESSAGE combines technologies and fuels to construct so-called "energy chains", making it possible to map energy flows from supply (resource

182

A detailed loads comparison of three building energy modeling programs:  

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

detailed loads comparison of three building energy modeling programs: detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Title A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Publication Type Journal Year of Publication 2013 Authors Zhu, Dandan, Tianzhen Hong, Da Yan, and Chuang Wang Date Published 05/2013 Keywords building energy modeling program, building thermal loads, comparison, dest, DOE-2.1E, energyplus Abstract Building energy simulation is widely used to help design energy efficient building envelopes and HVAC systems, develop and demonstrate compliance of building energy codes, and implement building energy rating programs. However, large discrepancies exist between simulation results from different building energy modeling programs (BEMPs). This leads many users and stakeholders

183

Comparison of Building Energy Modeling Programs: HVAC Systems  

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

Modeling Programs: HVAC Systems Title Comparison of Building Energy Modeling Programs: HVAC Systems Publication Type Report LBNL Report Number LBNL-6432E Year of Publication 2013...

184

Commercial Demand Module of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Commercial Demand Module of the National Energy Modeling System: Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov

185

A discrete model of energy-conserved wavefunction collapse  

E-Print Network (OSTI)

Energy nonconservation is a serious problem of dynamical collapse theories. In this paper, we propose a discrete model of energy-conserved wavefunction collapse. It is shown that the model is consistent with existing experiments and our macroscopic experience.

Gao, Shan

2013-01-01T23:59:59.000Z

186

Modeling and simulation of HVAC Results in EnergyPlus  

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

Modeling and simulation of HVAC Results in EnergyPlus Title Modeling and simulation of HVAC Results in EnergyPlus Publication Type Journal Article LBNL Report Number LBNL-5564E...

187

Model Ordinance for Siting of Wind-Energy Systems  

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

In 2009, the South Dakota Public Utilities Commission (PUC) created a [http://puc.sd.gov/commission/twg/WindEnergyOrdinance.pdf model ordinance] for siting wind-energy systems. This nine-page model...

188

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL  

E-Print Network (OSTI)

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University-economy models; Calibration; Consumer behaviour; Uncertainty; Energy policy Subject Terms: Energy policy Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy

189

Modelling domestic energy consumption at district scale: A tool to support national and local energy policies  

Science Conference Proceedings (OSTI)

This paper presents the development, evaluation and application of the Domestic Energy and Carbon Model (DECM) for predicting the energy consumptions and carbon dioxide emissions of the existing English housing stock. A novel feature of DECM is the adoption ... Keywords: Domestic energy model, Dwelling carbon emission, Housing stock model, Local energy policy

Vicky Cheng; Koen Steemers

2011-10-01T23:59:59.000Z

190

Building Energy Software Tools Directory: Energy Demand Modeling  

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

and Renewable Energy EERE Home | Programs & Offices | Consumer Information Building Energy Software Tools Directory Search Search Help Building Energy Software Tools Directory...

191

Building Energy Software Tools Directory: Building Energy Modelling...  

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

and Renewable Energy EERE Home | Programs & Offices | Consumer Information Building Energy Software Tools Directory Search Search Help Building Energy Software Tools Directory...

192

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

Science Conference Proceedings (OSTI)

The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). 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 approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

NONE

1996-02-26T23:59:59.000Z

193

Brazil LULUCF Modeling | Open Energy Information  

Open Energy Info (EERE)

LULUCF Modeling LULUCF Modeling Jump to: navigation, search Tool Summary Name: Brazil LULUCF Modeling Agency/Company /Organization: Energy Sector Management Assistance Program of the World Bank Sector: Land Focus Area: Renewable Energy, Agriculture, Biomass, Forestry, Transportation Topics: Background analysis, Market analysis Resource Type: Lessons learned/best practices Website: www.esmap.org/esmap/sites/esmap.org/files/PR_brazil1_Low%20Carbon%20Ca Country: Brazil South America Coordinates: -14.235004掳, -51.92528掳 Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-14.235004,"lon":-51.92528,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

194

Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1  

SciTech Connect

The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). 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. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

NONE

1994-02-24T23:59:59.000Z

195

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

196

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

197

Statefinder Diagnostic for Born-Infeld Type Dark Energy Model  

E-Print Network (OSTI)

Using a new method--statefinder diagnostic which can differ one dark energy model from the others, we investigate in this letter the dynamics of Born-Infeld(B-I) type dark energy model. The evolutive trajectory of B-I type dark energy with Mexican hat potential model with respect to $e-folding$ time $N$ is shown in the $r(s)$ diagram. When the parameter of noncanonical kinetic energy term $\\eta\\to0$ or kinetic energy $\\dot{\\phi}^2\\to0$, B-I type dark energy(K-essence) model reduces to Quintessence model or $\\Lambda$CDM model corresponding to the statefinder pair $\\{r, s\\}$=$\\{1, 0\\}$ respectively. As a result, the the evolutive trajectory of our model in the $r(s)$ diagram in Mexican hat potential is quite different from those of other dark energy models.

Z. G. Huang; H. Q. Lu

2008-02-16T23:59:59.000Z

198

Integrated Modeling of Building Energy Requirements Incorporating Solar  

E-Print Network (OSTI)

and Renewable Energy, Distributed Energy Program of the U.S. Department of Energy under Contract No. DE-AC02 report LBNL-52753. February 2003. Site information and characteristics EIA (U.S. Energy InformationLBNL-58783 Integrated Modeling of Building Energy Requirements Incorporating Solar Assisted Cooling

199

Draft Report Development of Model Curriculum in Renewable Energy  

E-Print Network (OSTI)

Draft Report On Development of Model Curriculum in Renewable Energy Energy Systems Engineering, Indian Institute of Technology Bombay Powai, Mumbai 颅 400 076 August 2003 #12;Draft Renewable Energy energy systems for the future, it is necessary to incorporate renewable energy in the traditional

Banerjee, Rangan

200

Modelling of Turkey's net energy consumption using artificial neural network  

Science Conference Proceedings (OSTI)

The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using artificial neural network (ANN) technique in order to determine the future level of the energy consumption in Turkey. Two different models ... Keywords: Turkey, artificial neural networks, energy forecasting, energy sources, estimation, gross generation, net energy consumption

Adnan Sozen; Erol Arcaklioglu; Mehmet Ozkaymak

2005-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

Category:Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

in this category, out of 5 total. A Analytical Modeling C Conceptual Model M Modeling-Computer Simulations N Numerical Modeling P Portfolio Risk Modeling Retrieved from "http:...

202

Characterizing emerging industrial technologies in energy models  

E-Print Network (OSTI)

Efficient and Clean Energy Technologies, 2000. Scenarios ofEmerging Energy-Efficient Industrial Technologies, Lawrenceinformation about energy efficiency technologies, their

Laitner, John A. Skip; Worrell, Ernst; Galitsky, Christina; Hanson, Donald A.

2003-01-01T23:59:59.000Z

203

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

International Journal of Distributed Energy Resources, 1 (Gas-Fired Distributed Energy Resources Characterizations.Firestone, R. (2004) Distributed Energy Resources Customer

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

2006-01-01T23:59:59.000Z

204

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

regional differences in energy markets and climates, as welldiverse climates and energy markets. These differences areanalyze the effect of other energy market policies in future

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

2006-01-01T23:59:59.000Z

205

Policy modeling for industrial energy use  

E-Print Network (OSTI)

such programs as the energy audit, support for energybeen executing the energy audit, the voluntary agreement,have to carry out energy audits in the designated companies

2003-01-01T23:59:59.000Z

206

Influence of two dynamic predictive clothing insulation models on building energy performance  

E-Print Network (OSTI)

Energy Consumption, Energy and Buildings, Vol. 26, 283-291.Insulation Models on Building Energy Use, HVAC sizing andClothing Model Impact on Building Energy Performance

Lee, Kwang Ho; Schiavon, Stefano

2013-01-01T23:59:59.000Z

207

NREL: Regional Energy Deployment System (ReEDS) Model - Publications  

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

Regional Energy Deployment System (ReEDS) Model Energy Analysis ReEDS Regional Energy Deployment System Model Regional Energy Deployment System (ReEDS) Model Energy Analysis ReEDS Regional Energy Deployment System Model Search More Search Options Site Map Printable Version Publications The following are publications - including technical reports, journal articles, conference papers, and posters - focusing on the Wind Deployment System (WinDS) and Regional Energy Deployment System (ReEDS) models. Technical Reports Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M. (2013). Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions. 55 pp.; NREL Report No. TP-6A20-55836. Martinez, A.; Eurek, K.; Mai, T.; Perry, A. (2013). Integrated Canada-U.S. Power Sector Modeling with the Regional Energy Deployment System (ReEDS).

208

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

Energy Savings. In: Energy and Buildings 40.7 (2008), pp.Thermal Dynamics. In: Energy and Buildings 47 (Apr. 2011),Storage Systems. In: Energy and Buildings 35.2 (2003), pp.

Ma, Yudong

2012-01-01T23:59:59.000Z

209

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

8] Energy Efficiency Standards Group. (2005) Tariff Analysistariffs and DER technology cost and performance data to run the Distributed Energy

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

2006-01-01T23:59:59.000Z

210

Characterizing emerging industrial technologies in energy models  

E-Print Network (OSTI)

level of capital and energy intensity and the existing costchoice of energy-intensity for new capital installed in each

Laitner, John A. Skip; Worrell, Ernst; Galitsky, Christina; Hanson, Donald A.

2003-01-01T23:59:59.000Z

211

Policy modeling for industrial energy use  

E-Print Network (OSTI)

simple energy intensity is not a good indicator for energyEnergy Intensity in the Iron & Steel industry: A Comparison of Physical and Economic Indicators",energy efficiency in the Korean manufacturing sector, studies using economic energy efficiency indicators (energy intensity

2003-01-01T23:59:59.000Z

212

The National Energy Modeling System: An Overview 2000 - appendix  

Gasoline and Diesel Fuel Update (EIA)

The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, Integrating Module of the National Energy Modeling System: Model Documentation DOE/EIA-M057(2000) (Washington, DC, December 1999). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2000) (Washington, DC, December 1999). Energy Information Administration, Documentation of the DRI Model of the U.S. Economy, DOE/EIA- M061 (Washington, DC, December 1993). Energy Information Administration, NEMS International Energy Module: Model Documentation Report, DOE/EIA-M071(99) (Washington, DC, February 1999).

213

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, 聯Bibliography聰).

214

2002 EIA Models Directory - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Levelized Nuclear Fuel Cycle Cost Model (LNFCC-PC) Propane Market Model (PPMM) Short-Term Hydroelectric Generation Model (STHGM)

215

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network (OSTI)

Estimating home energy decision parameters for a hybrid energyYeconomy policy model Mark JaccardYenvironment policy models To meet the challenge of an energyYenvironment issue such as greenhouse gas (GHG) emission with respect to energy use, and to specific policies aimed at advancing certain technologies over others. While

216

Methodology for Modeling Building Energy Performance across the Commercial Sector  

Science Conference Proceedings (OSTI)

This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

2008-03-01T23:59:59.000Z

217

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

SciTech Connect

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

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

1992-02-01T23:59:59.000Z

218

Network flow model for multi-energy systems  

Science Conference Proceedings (OSTI)

This paper describes a novel approach to model networks with multiple energy carrier. The proposed nodal matrix establishes a link between an optimization of enclosed areas and their interconnections via networks. In the envisioned network flow model ... Keywords: energy conversion, energy hubs, grids, line losses, network flow, optimal power flow

Matthias Schulze; Goran Ga歱arovi?

2010-02-01T23:59:59.000Z

219

Property:Buildings/ModelIdfFile | Open Energy Information  

Open Energy Info (EERE)

ModelIdfFile ModelIdfFile Jump to: navigation, search This is a property of type URL. Pages using the property "Buildings/ModelIdfFile" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_50percent.idf + General Merchandise 2009 TSD Chicago High Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_Baseline.idf + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_50percent.idf + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_Baseline.idf +

220

Property:Buildings/ModelXmlFile | Open Energy Information  

Open Energy Info (EERE)

ModelXmlFile ModelXmlFile Jump to: navigation, search This is a property of type URL. Pages using the property "Buildings/ModelXmlFile" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_50percent.xml + General Merchandise 2009 TSD Chicago High Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_Baseline.xml + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_50percent.xml + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_Baseline.xml +

Note: This page contains sample records for the topic "nattional energy modeling" 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

Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system  

Science Conference Proceedings (OSTI)

This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...

Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders

1989-09-01T23:59:59.000Z

222

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

of Electricity Delivery and Energy Reliability, Distributed Energy Program of the U.S. Department of Energy under regions are chosen to represent the diversity in U.S. climate and energy rates: Atlanta, Boston, Chicago, with the use of the building energy simulation program DOE-2, specific to various representative U.S. locations

223

Modeling and analysis of energy conversion systems  

DOE Green Energy (OSTI)

An investigation was conducted to assess the need for and the feasibility of developing a computer code that could model thermodynamic systems and predict the performance of energy conversion systems. To assess the market need for this code, representatives of a few industrial organizations were contacted, including manufacturers, system and component designers, and research personnel. Researchers and small manufacturers, designers, and installers were very interested in the possibility of using the proposed code. However, large companies were satisfied with the existing codes that they have developed for their own use. Also, a survey was conduced of available codes that could be used or possibly modified for the desired purpose. The codes were evaluated with respect to a list of desirable features, which was prepared as a result of the survey. A few publicly available codes were found that might be suitable. The development, verification, and maintenance of such a code would require a substantial, ongoing effort. 21 refs.

Den Braven, K.R. (Idaho Univ., Moscow, ID (USA). Dept. of Mechanical Engineering); Stanger, S. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

1990-10-01T23:59:59.000Z

224

Energy Demand Modelling Introduction to the PhD project  

E-Print Network (OSTI)

Energy Demand Modelling Introduction to the PhD project Erika Zvingilaite Ris酶 DTU System Analysis for optimization of energy systems Environmental effects Global externalities cost of CO2 Future scenarios for the Nordic energy systems 2010, 2020, 2030, 2040, 2050 (energy-production, consumption, emissions, net costs

225

Policy modeling for industrial energy use  

E-Print Network (OSTI)

CO 2 Taxation in OECD . Energy Policy 29, no. 6 (2001): 489-CHP in The Netherlands. Energy Policy 21: Bureau of EconomicMedium- Sized Companies, Energy Policy, April, p279-287.

2003-01-01T23:59:59.000Z

226

Policy modeling for industrial energy use  

E-Print Network (OSTI)

there were few new government policies on energy reduction.As energy saving policies, the R&D investment, governmentpolicies and measures are mostly implemented by the government, energy-

2003-01-01T23:59:59.000Z

227

Constraints on Dark Energy Models from Weak Gravity Conjecture  

E-Print Network (OSTI)

We study the constraints on the dark energy model with constant equation of state parameter $w=p/\\rho$ and the holographic dark energy model by using the weak gravity conjecture. The combination of weak gravity conjecture and the observational data gives $wenergy model realized by a scalar field is in swampland.

Chen, Ximing; Gong, Yungui

2008-01-01T23:59:59.000Z

228

Constraints on Dark Energy Models from Weak Gravity Conjecture  

E-Print Network (OSTI)

We study the constraints on the dark energy model with constant equation of state parameter $w=p/\\rho$ and the holographic dark energy model by using the weak gravity conjecture. The combination of weak gravity conjecture and the observational data gives $wenergy model realized by a scalar field is in swampland.

Ximing Chen; Jie Liu; Yungui Gong

2008-06-15T23:59:59.000Z

229

Constraints on the interacting holographic dark energy model  

E-Print Network (OSTI)

We examined the interacting holographic dark energy model in a universe with spatial curvature. Using the near-flatness condition and requiring that the universe is experiencing an accelerated expansion, we have constrained the parameter space of the model and found that the model can accommodate a transition of the dark energy from $\\omega_D>-1$ to $\\omega_D<-1$.

Bin Wang; Chi-Yong Lin; Elcio Abdalla

2005-09-14T23:59:59.000Z

230

Energy Harvesting Enabled Wireless Sensor Networks: Energy Model and Battery Dimensioning  

E-Print Network (OSTI)

Energy Harvesting Enabled Wireless Sensor Networks: Energy Model and Battery Dimensioning Raul to energy require- ments. The Self-Powered WSN approach aims to extend the sensor node life by means of Energy Harvesting. How- ever, the low power density that these energy sources pro- vide compared

Cabellos-Aparicio, Albert

231

Accurate Modeling and Prediction of Energy Availability in Energy Harvesting Real-Time Embedded Systems  

E-Print Network (OSTI)

on the type of energy harvesting technology, ECM1 can be either DC/DC or AC/DC converter. ECM2 is usually a DC/DCAccurate Modeling and Prediction of Energy Availability in Energy Harvesting Real-Time Embedded}@binghamton.edu Abstract -- Energy availability is the primary subject that drives the research innovations in energy

Qiu, Qinru

232

Modeling CO2 Emissions Impact of Energy Efficiency Webcast Presentation  

Science Conference Proceedings (OSTI)

his is a PDF of PowerPoint slides presented during the 17 February 2009 webcast, Modeling CO2 Emissions Impact of Energy Efficiency. The webcast was based on work conducted for the report, Modeling CO2 Emissions Impact of Energy Efficiency (product number 1016085). The webcast and the slides include the following information: Modeling approaches and assumptions Summary of results for two approaches How model output can be applied by utilities Planned refinements to the model in 2009 and beyond, includin...

2009-03-27T23:59:59.000Z

233

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

SciTech Connect

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

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

1992-02-01T23:59:59.000Z

234

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, 聯Bibliography聰).

235

Project: Whole Building Energy Modeling and Measurements  

Science Conference Proceedings (OSTI)

... buildings use approximately 22% of the total energy consumed in the US The objective of this project is to increase the energy efficiency of the ...

2012-12-27T23:59:59.000Z

236

Energy Systems Modeling | Argonne National Laboratory  

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

astonishing new technologies into the market, cause widespread changes in our energy consumption patterns, and even physical changes to the power grid. The result? Our energy...

237

The National Energy Modeling System: An overview 1998  

Science Conference Proceedings (OSTI)

The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US 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, behavior 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, 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. 21 figs.

NONE

1998-02-01T23:59:59.000Z

238

Modeling Energy Consumption of Residential Furnaces and Boilers...  

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

Energy Consumption of Residential Furnaces and Boilers in U.S. homes Title Modeling Energy Consumption of Residential Furnaces and Boilers in U.S. homes Publication Type Report...

239

Modeling Clean and Secure Energy Scenarios for the Indian Power...  

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

Clean and Secure Energy Scenarios for the Indian Power Sector in 2030 Title Modeling Clean and Secure Energy Scenarios for the Indian Power Sector in 2030 Publication Type Report...

240

Energy Diagnostics in a 1-Layer, Nonisopycnic Model  

Science Conference Proceedings (OSTI)

The development of a pointwise (in the horizontal) energy diagnostic scheme applicable to a 1-layer, nonisopycnic, primitive equation model is presented. The scheme utilizes the concept of available gravitational energy to replace the ...

Lars Petter R鴈d

1997-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

The Total Energy Norm in a Quasigeostrophic Model  

Science Conference Proceedings (OSTI)

Total energy E as the sum of kinetic and available potential energies is considered here for quasigeostrophic (QG) dynamics. The discrete expression for E is derived for the QG model formulation of Marshall and Molteni. While E is conserved by ...

Martin Ehrendorfer

2000-10-01T23:59:59.000Z

242

Interacting holographic dark energy model in non-flat universe  

E-Print Network (OSTI)

We employ the holographic model of interacting dark energy to obtain the equation of state for the holographic energy density in non-flat (closed) universe enclosed by the event horizon measured from the sphere of horizon named $L$.

M R Setare

2006-09-11T23:59:59.000Z

243

Regional Short-Term Energy Model (RSTEM) Overview  

Reports and Publications (EIA)

The Regional Short-Term Energy Model (RSTEM) utilizes estimated econometric relationships for demand, inventories and prices to forecast energy market outcomes across key sectors and selected regions throughout the United States.

Information Center

2009-04-16T23:59:59.000Z

244

Model documentation report: Industrial sector demand module of the national energy modeling system  

SciTech Connect

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 requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its model. 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.

NONE

1998-01-01T23:59:59.000Z

245

Solar Decathlon Design Models 2009 | Department of Energy  

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

Design Models 2009 Design Models 2009 Solar Decathlon Design Models 2009 Addthis Florida International 1 of 20 Florida International Image: Energy Department Image Team New Jersey 2 of 20 Team New Jersey Image: Energy Department Image The University of Tennessee 3 of 20 The University of Tennessee Image: Energy Department Image University of Maryland 4 of 20 University of Maryland Image: Energy Department Image Team Florida 5 of 20 Team Florida Image: Energy Department Image Ohio State University 6 of 20 Ohio State University Image: Energy Department Image Team Belgium 7 of 20 Team Belgium Image: Energy Department Image University of Hawaii 8 of 20 University of Hawaii Image: Energy Department Image Cal Tech 9 of 20 Cal Tech Image: Energy Department Image Team Tidewater Virginia 10 of 20 Team Tidewater Virginia

246

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

247

Property:Buildings/ModelType | Open Energy Information  

Open Energy Info (EERE)

ModelType ModelType Jump to: navigation, search This is a property of type String. The allowed values for this property are: Baseline Minimum Cost Max Tech PV Takeoff Cost Neutral 30% Energy Savings 50% Energy Savings 70% Energy Savings Other Pages using the property "Buildings/ModelType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Baseline + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + Baseline + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Miami High Plug Load Baseline + Baseline +

248

Quantum Energy Inequality for the Massive Ising Model  

E-Print Network (OSTI)

A Quantum Energy Inequality (QEI) is derived for the massive Ising model, giving a state-independent lower bound on suitable averages of the energy density; the first QEI to be established for an interacting quantum field theory with nontrivial S-matrix. It is shown that the Ising model has one-particle states with locally negative energy densities, and that the energy density operator is not additive with respect to combination of one-particle states into multi-particle configurations.

Bostelmann, Henning; Fewster, Christopher J

2013-01-01T23:59:59.000Z

249

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

P. Haves et al. Model Predictive Control of HVAC Systems:Bilinear Model Predictive Control of a HVAC System Usingof model predictive control algorithms for HVAC systems.

Ma, Yudong

2012-01-01T23:59:59.000Z

250

An Energy Model for a Low Income Rural African Village | Open Energy  

Open Energy Info (EERE)

An Energy Model for a Low Income Rural African Village An Energy Model for a Low Income Rural African Village Jump to: navigation, search Tool Summary LAUNCH TOOL Name: An Energy Model for a Low Income Rural African Village Agency/Company /Organization: Howells, Alfstad, Victor, Goldstein and Remme Sector: Energy Focus Area: Renewable Energy, Economic Development, Energy Efficiency, People and Policy Phase: Create a Vision Topics: - Energy Access Resource Type: Publications User Interface: Website Website: iea-etsap.org/web/Workshop/worksh_6_2003/2003P_howells.pdf Cost: Free UN Region: Southern Africa Language: English This paper reports on efforts to extend a MARKAL energy model for South Africa to include rural energy choices, allowing for computation of optimal energy systems in a typical (non-electrified) rural village.

251

Energy transfers in shell models for MHD turbulence  

E-Print Network (OSTI)

A systematic procedure to derive shell models for MHD turbulence is proposed. It takes into account the conservation of ideal quadratic invariants such as the total energy, the cross-helicity and the magnetic helicity as well as the conservation of the magnetic energy by the advection term in the induction equation. This approach also leads to simple expressions for the energy exchanges as well as to unambiguous definitions for the energy fluxes. When applied to the existing shell models with nonlinear interactions limited to the nearest neighbour shells, this procedure reproduces well known models but suggests a reinterpretation of the energy fluxes.

T. Lessinnes; M. K. Verma; D. Carati

2008-07-31T23:59:59.000Z

252

Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software...  

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

and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and...

253

Stochastic Modelling of Material-and Energy Properties in Recycling ...  

Science Conference Proceedings (OSTI)

In this paper we explore a stochastic model to track material and energy in ... of Modified Semi-Coke on the Advanced Treatment of Coking Wastewater's Oil.

254

Scenario Modelling: A Holistic Environmental and Energy Management...  

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

Development Contact Us Department Contacts Media Contacts Scenario Modelling: A Holistic Environmental and Energy Management Technique for Building Managers Speaker(s): James...

255

Modelling Concentrating Solar Power with Thermal Energy Storage...  

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

Modelling Concentrating Solar Power with Thermal Energy Storage for Integration Studies Marissa Hummon 3 rd International Solar Power Integration Workshop October 20-22, 2013...

256

The National Energy Modeling System: An Overview 1998 - Macroeconomic...  

Gasoline and Diesel Fuel Update (EIA)

of the Underlying Core Models Macroeconomic assessment at EIA involves several modes of analysis. The first type of analysis, used in forecasting the Annual Energy Outlook where...

257

Modeling, Simulation and Analysis of Integrated Building Energy...  

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

Us Department Contacts Media Contacts Modeling, Simulation and Analysis of Integrated Building Energy and Control Systems Speaker(s): Michael Wetter Date: August 10, 2009 -...

258

Parametrization of Born-Infeld Type Phantom Dark Energy Model  

E-Print Network (OSTI)

Applying the parametrization of dark energy density, we can construct directly independent-model potentials. In Born-Infeld type phantom dark energy model, we consider four special parametrization equation of state parameter. The evolutive behavior of dark energy density with respect to red-shift $z$, potentials with respect to $\\phi$ and $z$ are shown mathematically. Moreover, we investigate the effect of parameter $\\eta$ upon the evolution of the constructed potential with respect to $z$. These results show that the evolutive behavior of constructed Born-Infeld type dark energy model is quite different from those of the other models.

Z. G. Huang; H. Q. Lu; W. Fang

2009-05-07T23:59:59.000Z

259

Energy Savings Modeling and Inspection Guidelines for Commercial...  

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

Energy Savings Modeling and Inspection Guidelines for Commercial Building Federal Tax Deductions Second Edition M. Deru Technical Report NRELTP-550-40467 May 2007 NREL is operated...

260

Simulation Techniques for Process Energy Modeling - Doing it ...  

Science Conference Proceedings (OSTI)

Simulation Techniques for Process Energy Modeling ... 2: Constrained Material Balance for Maximum Activity of Carbon; SuperSolver's Optimization Feature. III.

Note: This page contains sample records for the topic "nattional energy modeling" 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

Pages that link to "System Advisor Model (SAM)" | Open Energy...  

Open Energy Info (EERE)

( links) Gateway:U.S. OpenLabsComputer Modeling Software ( links) Energy System and Scenario Analysis Toolkit ( links) Technology Cost and Performance...

262

An Integrated Life Cycle Engineering Model: Energy and Greenhouse...  

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

An Integrated Life Cycle Engineering Model: Energy and Greenhouse Gas Performance of Residential Heritage Buildings, and the Influence of Retrofit Strategies and Appliance...

263

Building Energy Models Can Be Automatically Adjusted To Fit Data  

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

EETD Safety Program Development Contact Us Department Contacts Media Contacts Building Energy Models Can Be Automatically Adjusted To Fit Data Speaker(s): Douglas Black Nathan...

264

EIA - The National Energy Modeling System: An Overview 2003-Report...  

Annual Energy Outlook 2012 (EIA)

Report Chapters The National Energy Modeling System: An Overview 2003 Report Chapters pdf image Preface pdf image Introduction pdf image Overview of NEMS pdf image Carbon Dioxide...

265

Carbon Anode Modeling for Electric Energy Savings in  

Science Conference Proceedings (OSTI)

Presentation Title, Carbon Anode Modeling for Electric Energy Savings in the Aluminium Reduction Cell. Author(s), Dag Herman Andersen, Z. L. Zhang. On- Site...

266

The Sustainable Energy Utility (SEU) Model for Energy Service Delivery  

E-Print Network (OSTI)

-of-contact for efficiency and self-generation in the same way that conventional utilities are the point- of and businesses use less energy and generate their own clean energy. As a nonprofit umbrella entity at a city around networks of distrib- uted generators and energy efficient technologies has significant technical

Delaware, University of

267

Federal Energy Management Program: Model Acquisition Language for  

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

Model Acquisition Language for Energy-Efficient Product Contracts Model Acquisition Language for Energy-Efficient Product Contracts Training Available Graphic of the eTraining logo Energy-Efficient Federal Purchasing: This intermediate FEMP eTraining course offers hands-on learning on finding, specifying, and selecting energy-efficient products. Energy-Efficient Product Procurement: This introductory FEMP First Thursday Seminar details executive order and Federal Acquisition Regulation requirements for purchasing FEMP-designated and ENERGY STAR products. Federal agencies must insert specific contract language for Energy Efficiency in Energy-Consuming Products as defined in Federal Acquisition Regulation (FAR) Section 52.223-15 in solicitations and contracts when ENERGY STAR庐-qualified or FEMP-designated energy-consuming products are:

268

Interacting agegraphic dark energy models in non-flat universe  

E-Print Network (OSTI)

A so-called "agegraphic dark energy" was recently proposed to explain the dark energy-dominated universe. In this Letter, we generalize the agegraphic dark energy models to the universe with spatial curvature in the presence of interaction between dark matter and dark energy. We show that these models can accommodate $w_D = -1 $ crossing for the equation of state of dark energy. In the limiting case of a flat universe, i.e. $k = 0$, all previous results of agegraphic dark energy in flat universe are restored.

Ahmad Sheykhi

2009-07-29T23:59:59.000Z

269

Evaluation of an Incremental Ventilation Energy Model for Estimating  

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

Evaluation of an Incremental Ventilation Energy Model for Estimating Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Title Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Publication Type Report LBNL Report Number LBNL-5796E Year of Publication 2012 Authors Logue, Jennifer M., William J. N. Turner, Iain S. Walker, and Brett C. Singer Date Published 06/2012 Abstract Changing the rate of airflow through a home affects the annual thermal conditioning energy.Large-scale changes to airflow rates of the housing stock can significantly alter the energy consumption of the residential energy sector. However, the complexity of existing residential energy models hampers the ability to estimate the impact of policy changes on a state or nationwide level. The Incremental Ventilation Energy (IVE) model developed in this study was designed to combine the output of simple airflow models and a limited set of home characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modelers to use existing databases of home characteristics to determine the impact of policy on ventilation at a population scale. In this report, we describe the IVE model and demonstrate that its estimates of energy change are comparable to the estimates of a well-validated, complex residential energy model when applied to homes with limited parameterization. Homes with extensive parameterization would be more accurately characterized by complex residential energy models. The demonstration included a range of home types, climates, and ventilation systems that cover a large fraction of the residential housing sector.

270

Fuel Cell Power (FCPower) Model | Open Energy Information  

Open Energy Info (EERE)

Fuel Cell Power (FCPower) Model Fuel Cell Power (FCPower) Model Jump to: navigation, search Tool Summary Name: Fuel Cell Power (FCPower) Model Agency/Company /Organization: United States Department of Energy Partner: National Renewable Energy Laboratory Sector: Energy Focus Area: Hydrogen Topics: Finance Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.hydrogen.energy.gov/fc_power_analysis.html Cost: Free OpenEI Keyword(s): EERE tool Fuel Cell Power (FCPower) Model Screenshot References: DOE Fuel Cell Power Analysis[1] Logo: Fuel Cell Power (FCPower) Model The Fuel Cell Power (FCPower) Model is a financial tool for analyzing high-temperature, fuel cell-based tri-generation systems. "The Fuel Cell Power (FCPower) Model is a financial tool for analyzing

271

NREL: Energy Analysis - Market Analysis Models and Tools  

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

Energy Analysis Search More Search Options Site Map Printable Version Market Analysis Models and Tools The following is a list of models and tools that are used for market...

272

Online Modeling in the Process Industry for Energy Optimization  

E-Print Network (OSTI)

"This paper discusses how steady state models are being used in the process industry to perform online energy optimization of steam and electrical systems. It presents process demands commonly found in the processing industry in terms of steam and electricity. It further discusses the methods of providing this energy for refineries, petrochemical plants, and other processing plants - chemical, paper, and metal. A typical system flow diagram is used to highlight the energy system network and describe areas where steady-state models are used. The types of models used are discussed, and a scheme for putting the models together to provide total process plant energy optimization is summarized. The types of optimization which can be implemented in a process plant is thus presented. The paper points out what steady-state modeling is needed to do online optimization of an energy network in a processing plant. Finally, a discussion of the economics on online energy optimization is presented."

Alexander, J.

1988-09-01T23:59:59.000Z

273

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

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The National Energy Modeling System: An Overview 2003 Petroleum Market Module Figure 17. Petroleum Market Module Structure. Need help, contact the National Energy Information Center. Need help, contact the National Energy Information Center at 202-586-8800. Figure 18. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Petroleum Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Petroleum Products Modeled in PMM. Need help, contact the National Energy Information Center at 202-586-8800. Crude Oil Categories in PMM Table. Need help, contact the National Energy Information Center at 202-586-8800. Refinery Processing Units Modeled in PMM. Need help, contact the National Energy Information Center at 202-586-8800.

274

Model Acquisition Language for Energy-Efficient Product Contracts |  

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

Technologies 禄 Energy-Efficient Products 禄 Model Acquisition Technologies 禄 Energy-Efficient Products 禄 Model Acquisition Language for Energy-Efficient Product Contracts Model Acquisition Language for Energy-Efficient Product Contracts October 8, 2013 - 2:39pm Addthis Federal agencies must insert specific contract language for Energy Efficiency in Energy-Consuming Products as defined in Federal Acquisition Regulation (FAR) Section 52.223-15 in solicitations and contracts when ENERGY STAR庐-qualified or FEMP-designated energy-consuming products are: Delivered Acquired by the contractor for use in performing services at a Federally-controlled facility Furnished by the contractor for use by the Government Specified in the design of a building or work, or incorporated during its construction, renovation, or maintenance.

275

Structure formation in inhomogeneous Early Dark Energy models  

E-Print Network (OSTI)

We study the impact of Early Dark Energy fluctuations in the linear and non-linear regimes of structure formation. In these models the energy density of dark energy is non-negligible at high redshifts and the fluctuations in the dark energy component can have the same order of magnitude of dark matter fluctuations. Since two basic approximations usually taken in the standard scenario of quintessence models, that both dark energy density during the matter dominated period and dark energy fluctuations on small scales are negligible, are not valid in such models, we first study approximate analytical solutions for dark matter and dark energy perturbations in the linear regime. This study is helpful to find consistent initial conditions for the system of equations and to analytically understand the effects of Early Dark Energy and its fluctuations, which are also verified numerically. In the linear regime we compute the matter growth and variation of the gravitational potential associated with the Integrated Sach...

Batista, R C

2013-01-01T23:59:59.000Z

276

Supernovae constraints on dark energy and modified gravity models  

E-Print Network (OSTI)

We use the Type Ia Supernova gold sample to constrain the parameters of dark energy models namely the Cardassian, Dvali-Turner (DT) and generalized Chaplygin gas (GCG) models. In our best fit analysis for these dark energy proposals we consider flat and the non-flat priors. For all models, we find that relaxing the flatness condition implies that data favors a positive curvature; moreover, the GCG model is nearly flat, as required by Cosmic Microwave Background (CMB) observations.

M. C. Bento; O. Bertolami; N. M. C. Santos; A. A. Sen

2005-12-03T23:59:59.000Z

277

Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1  

SciTech Connect

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. 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 methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.

NONE

1995-02-17T23:59:59.000Z

278

Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP): An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025  

Science Conference Proceedings (OSTI)

Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.

Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.

2009-09-01T23:59:59.000Z

279

Holographic tachyon model of dark energy  

E-Print Network (OSTI)

In this paper we consider a correspondence between the holographic dark energy density and tachyon energy density in FRW universe. Then we reconstruct the potential and the dynamics of the tachyon field which describe tachyon cosmology.

M R Setare

2007-05-24T23:59:59.000Z

280

Manufacturing Plants Incorporate Energy Efficiency into Business Model |  

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

Manufacturing Plants Incorporate Energy Efficiency into Business Manufacturing Plants Incorporate Energy Efficiency into Business Model Manufacturing Plants Incorporate Energy Efficiency into Business Model April 27, 2011 - 12:15pm Addthis Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Lowell Sachs Lead Technology Partnership Specialist, Industrial Technologies Program Four Texas-based manufacturing plants are adopting robust energy efficiency standards as part of an energy management certification program led by the Department of Energy's Industrial Technologies Program. The certification program, called Superior Energy Performance, provides a

Note: This page contains sample records for the topic "nattional energy modeling" 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

Manufacturing Plants Incorporate Energy Efficiency into Business Model |  

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

Manufacturing Plants Incorporate Energy Efficiency into Business Manufacturing Plants Incorporate Energy Efficiency into Business Model Manufacturing Plants Incorporate Energy Efficiency into Business Model April 27, 2011 - 12:15pm Addthis Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Lowell Sachs Lead Technology Partnership Specialist, Industrial Technologies Program Four Texas-based manufacturing plants are adopting robust energy efficiency standards as part of an energy management certification program led by the Department of Energy's Industrial Technologies Program. The certification program, called Superior Energy Performance, provides a

282

DOE Directory National Energy Models - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The LDSM also uses a technologies database develops jointly with the demand modules. Individual DSM ... Oak Ridge National Laboratory, Energy Data Book 20, ...

283

Model for electric energy consumption in eastern Saudi Arabia  

Science Conference Proceedings (OSTI)

Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five years of data have been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy is determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

Al-Garni, A.Z.; Al-Nassar, Y.N.; Zubair, S.M.; Al-Shehri, A. [King Fahd Univ. of Petroleum and Minerals, Dhahran (Saudi Arabia)

1997-05-01T23:59:59.000Z

284

Industrial Demand Module 1998, National Energy Modeling System (NEMS)  

Reports and Publications (EIA)

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 ofthe 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 supportof its models (Public Law 94-385, section 57.b2). 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.

T. Crawford Honeycutt

1998-01-01T23:59:59.000Z

285

Definition: Analytical Modeling | Open Energy Information  

Open Energy Info (EERE)

Analytical Modeling Jump to: navigation, search Dictionary.png Analytical Modeling 1. A simple version: A model is a simplified representation of some aspect of the real world. 2....

286

Building energy modeling programs comparison Research on HVAC systems  

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

energy modeling programs comparison Research on HVAC systems energy modeling programs comparison Research on HVAC systems simulation part Title Building energy modeling programs comparison Research on HVAC systems simulation part Publication Type Journal Year of Publication 2013 Authors Zhou, Xin, Da Yan, Tianzhen Hong, and Dandan Zhu Keywords Building energy modeling programs, comparison tests, HVAC system simulation, theory analysis Abstract Building energy simulation programs are effective tools for the evaluation of building energy saving and optimization of design. The fact that large discrepancies exist in simulated results when different BEMPs are used to model the same building has caused wide concern. Urgent research is needed to identify the main elements that contribute towards the simulation results. This technical report summarizes methodologies, processes, and the main assumptions of three building energy modeling programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E, and test cases are designed to analyze the calculation process in detail. This will help users to get a better understanding of BEMPs and the research methodology of building simulation. This will also help build a foundation for building energy code development and energy labeling programs.

287

Statefinder diagnosis and the interacting ghost model of dark energy  

E-Print Network (OSTI)

A new model of dark energy namely "ghost dark energy model" has recently been suggested to interpret the positive acceleration of cosmic expansion. The energy density of ghost dark energy is proportional to the hubble parameter. In this paper we perform the statefinder diagnostic tool for this model both in flat and non-flat universe. We discuss the dependency of the evolutionary trajectories in $s-r$ and $q-r$ planes on the interaction parameter between dark matter and dark energy as well as the spatial curvature parameter of the universe. Eventually, in the light of SNe+BAO+OHD+CMB observational data, we plot the evolutionary trajectories in $s-r$ and $q-r$ planes for the best fit values of the cosmological parameters and compare the interacting ghost model with other dynamical dark energy models. We show that the evolutionary trajectory of ghost dark energy in statefinder diagram is similar to holographic dark energy model. It has been shown that the statefinder location of $\\Lambda$CDM is in good agreement with observation and therefore the dark energy models whose current statefinder values are far from the $\\Lambda$CDM point can be ruled out.

M. Malekjani; A. Khodam-Mohammadi

2012-02-19T23:59:59.000Z

288

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function  

E-Print Network (OSTI)

Impact Ionization Model Using Average Energy and Average Square Energy of Distribution Function Ken relaxation length, v sat 酶 h''i (赂 0:05炉m), the energy distribution function is not well described calculation of impact ionization coefficient requires the use of a high energy distribution function because

Dunham, Scott

289

IDRISI Land Change Modeler | Open Energy Information  

Open Energy Info (EERE)

IDRISI Land Change Modeler IDRISI Land Change Modeler Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IDRISI Land Change Modeler Agency/Company /Organization: Clark Labs Sector: Land Focus Area: Agriculture, Forestry Topics: Co-benefits assessment, - Environmental and Biodiversity, Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Desktop Application Website: www.clarklabs.org/ Cost: Paid IDRISI Land Change Modeler Screenshot References: IDRISI Land Change Modeler[1] Overview "The Land Change Modeler is revolutionary land cover change analysis and prediction software with tools to analyze, measure and project the impacts of such change on habitat and biodiversity." References 鈫 "IDRISI Land Change Modeler" Retrieved from

290

Definition: Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

Modeling Techniques Techniques that involve collecting data from one or more sources and developing a comprehensive representation of the data in a model View on...

291

NREL: Energy Analysis - Models and Tools  

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

infrastructure analysis model. Biomass Scenario Model (BSM) Determine which supply chain changes would have the greatest potential to accelerate the deployment of biofuels....

292

Center for Energy Efficiency and Renewable Energy at University of Massachusetts 3D Model of Heat Transfer and Fluid3D Model of Heat Transfer and Fluid  

E-Print Network (OSTI)

Center for Energy Efficiency and Renewable Energy at University of Massachusetts 3D Model of Heat for Energy Efficiency and Renewable Energy at University of Massachusetts 3D Model of Heat Transfer and Fluid WindowModeling a 3D Window Future WorkFuture Work #12;Center for Energy Efficiency and Renewable Energy

Massachusetts at Amherst, University of

293

Integration of agricultural and energy system models for biofuel assessment  

Science Conference Proceedings (OSTI)

This paper presents a coupled modeling framework to capture the dynamic linkages between agricultural and energy markets that have been enhanced through the expansion of biofuel production, as well as the environmental impacts resulting from this expansion. ... Keywords: Agricultural markets, Biofuels, Energy systems, Environment, Modeling

A. Elobeid, S. Tokgoz, R. Dodder, T. Johnson, O. Kaplan, L. Kurkalova, S. Secchi

2013-10-01T23:59:59.000Z

294

General Equilibrium Emissions Model (GEEM) | Open Energy Information  

Open Energy Info (EERE)

General Equilibrium Emissions Model (GEEM) General Equilibrium Emissions Model (GEEM) Jump to: navigation, search Tool Summary Name: General Equilibrium Emissions Model (GEEM) Agency/Company /Organization: International Institute for Sustainable Development (IISD) Sector: Climate, Energy Focus Area: Renewable Energy, Non-renewable Energy, Agriculture, Buildings, Economic Development, Energy Efficiency, Forestry, Goods and Materials, Greenhouse Gas, Industry, Offsets and Certificates, Transportation Topics: Background analysis, Baseline projection, GHG inventory, Low emission development planning, Market analysis, Pathways analysis, Policies/deployment programs, Technology characterizations Country: Kenya, Thailand UN Region: Eastern Africa, Caribbean Coordinates: 13.7240216掳, 100.5798602掳

295

Holographic Dark Energy Model with Modified Generalized Chaplygin Gas  

E-Print Network (OSTI)

We present a holographic dark energy model of the universe considering modified generalized Chaplygin gas (GCG). The modified GCG behaves as an ordinary barotropic fluid in the early epoch when the universe was tiny but behaves subsequently as a $\\Lambda$CDM model at late epoch. An equivalent model with scalar field is obtained here by constructing the corresponding potential. The holographic dark energy is identified with the modified GCG and we determine the corresponding holographic dark energy field and its potential. The stability of the holographic dark energy in this case is also discussed.

B. C. Paul; P. Thakur; A. Saha

2007-07-31T23:59:59.000Z

296

Cosmic age problem revisited in the holographic dark energy model  

E-Print Network (OSTI)

Because of an old quasar APM 08279 + 5255 at $z=3.91$, some dark energy models face the challenge of the cosmic age problem. It has been shown by Wei and Zhang [Phys. Rev. D {\\bf 76}, 063003 (2007)] that the holographic dark energy model is also troubled with such a cosmic age problem. In order to accommodate this old quasar and solve the age problem, we propose in this paper to consider the interacting holographic dark energy in a non-flat universe. We show that the cosmic age problem can be eliminated when the interaction and spatial curvature are both involved in the holographic dark energy model.

Cui, Jinglei

2010-01-01T23:59:59.000Z

297

A Model to Optimize Green Energy Supply Chain  

Science Conference Proceedings (OSTI)

Bioenergy is renewable energy derived from biological sources, to be used for production of heat, electricity and transportation fuels. The collection of biomass is a logistic process from different source locations to energy plants. The biomass-to-energy ... Keywords: supply chain, green, optimize, model

Na Liu

2012-10-01T23:59:59.000Z

298

Holographic Dark Energy Model with Modified Variable Chaplygin Gas  

E-Print Network (OSTI)

In this letter we consider a correspondence between holographic dark energy and variable modified Chaplygin gas to obtain a holographic dark energy model of the universe. The corresponding potential of the scalar field has been reconstructed which describes the modified variable Chaplygin gas. The stability of the holographic dark energy in this case is also discussed.

B. C. Paul

2010-06-17T23:59:59.000Z

299

Electrostatic Free Energy and its Variations in Implicit Solvent Models  

E-Print Network (OSTI)

Electrostatic Free Energy and its Variations in Implicit Solvent Models Jianwei Che , Joachim. The unique set of such concentrations that minimize this free energy are given by the usual Boltzmann. The variation of the electrostatic free energy with respect to the location change of solute-solvent interfaces

Li, Bo

300

Asymptotic Approximations to the Distributed Activation Energy Model  

E-Print Network (OSTI)

Asymptotic Approximations to the Distributed Activation Energy Model M.J.McGuinness1 , E. Donskoi2 by a continuum distribution in activation energy of individual re- actions. An individual reaction is characterised by a pre-exponential coefficient and an activation energy. The distribution, usually Gaussian

McGuinness, Mark

Note: This page contains sample records for the topic "nattional energy modeling" 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

Discriminating between models for the dark energy Duane A. Dicus  

E-Print Network (OSTI)

Discriminating between models for the dark energy Duane A. Dicus Center for Particle Physics a substantial dark energy component, which is usually interpreted in terms of a cosmological constant. Here we examine how much the form of this dark energy can be modified while still retaining an acceptable fit

Repko, Wayne

302

Developing Oregon's renewable energy portfolio using fuzzy goal programming model  

Science Conference Proceedings (OSTI)

Renewable energy continues to be a hot topic in the United States affecting security and sustainability. A model to create renewable energy portfolio is established using guidelines drawn by Oregon's Renewable Portfolio Standard (RPS) legislation with ... Keywords: Fuzzy goal programming, Oregon, Renewable energy portfolio

Tugrul U. Daim; Gulgun Kayakutlu; Kelly Cowan

2010-11-01T23:59:59.000Z

303

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聴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.

304

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and  

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

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Simulation Tools Available from Energy Analysis and Environmental Impacts Department Tools header image January 2014 Tools and models to find the best way to save energy and reduce greenhouse gas emissions in cities and industries, to follow the transport of pollutants through the environment, and to calculate the cost of power interruptions are among those available on a new Lawrence Berkeley National Laboratory (Berkeley Lab) web site. The site brings together models and simulation tools developed by the Energy Analysis and Environmental Impacts (EAEI) Department of the Lab's Environmental Energy Technologies Division. "Our hope is that the site will facilitate greater technical awareness of

305

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.

306

PART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY -  

E-Print Network (OSTI)

methodology to estimate the energy 颅 ecologic efficiency of thermopower plants (TPP) Presently, the analysis impact point of view and also of the efficiency of the electrical and/or thermal energy producedPART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY

Baica, Malvina

307

Geothermal Electricity Technology Evaluation Model (GETEM) | Open Energy  

Open Energy Info (EERE)

Electricity Technology Evaluation Model (GETEM) Electricity Technology Evaluation Model (GETEM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Geothermal Electricity Technology Evaluation Model (GETEM) Agency/Company /Organization: National Renewable Energy Laboratory Sector: Climate Focus Area: Geothermal Phase: Evaluate Options Topics: Opportunity Assessment & Screening Resource Type: Software/modeling tools User Interface: Desktop Application Website: www1.eere.energy.gov/geothermal/getem.html OpenEI Keyword(s): EERE tool Equivalent URI: cleanenergysolutions.org/content/geothermal-electricity-technology-eva Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance References: Geothermal Electricity Technology Evaluation Model[1] Model the estimated performance and costs of available U.S. geothermal

308

Civil War Icon Becomes National Clean Energy Model | Department of Energy  

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

Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model December 2, 2010 - 2:26pm Addthis Sunita Satyapal Program Manager, Hydrogen & Fuel Cell Technology Program Nearly a century and a half after the first shots of the Civil War, Fort Sumter National Monument is poised to become a national model for clean energy. By adopting solar and hydrogen fuel cell technologies, the monument will generate clean, renewable power - establishing itself as an energy self-sufficient island. This project is part of the Energy SmartPARKS initiative. This first-of-its-kind collaboration - launched in 2008 with the Department of Energy, Department of Interior, and the National Park Service - is designed to implement and showcase sustainable energy

309

Civil War Icon Becomes National Clean Energy Model | Department of Energy  

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

Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model Civil War Icon Becomes National Clean Energy Model December 2, 2010 - 2:26pm Addthis Sunita Satyapal Program Manager, Hydrogen & Fuel Cell Technology Program Nearly a century and a half after the first shots of the Civil War, Fort Sumter National Monument is poised to become a national model for clean energy. By adopting solar and hydrogen fuel cell technologies, the monument will generate clean, renewable power - establishing itself as an energy self-sufficient island. This project is part of the Energy SmartPARKS initiative. This first-of-its-kind collaboration - launched in 2008 with the Department of Energy, Department of Interior, and the National Park Service - is designed to implement and showcase sustainable energy

310

US Energy Service Company Industry: History and Business Models  

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

Energy Service Company Industry: Energy Service Company Industry: History and Business Models Don Gilligan President, NAESCO May 6, 2011 Overview of Presentation * US ESCO industry evolution: Five phases * Business models in each phase * Financing models in each phase * Factors that forced change to next phase * Lessons learned US ESCO Industry: Five Phases * Pre-1985: The Beginning of Large-scale Energy Efficiency (EE) * 1985-1995: Early ESCo experience * 1995-2000: Consolidation and Growth * 2000-2004: Setbacks * 2004 - present: Growth and new services Beginning of EE: pre-1985 * Federal government mandates utilities to provide energy conservation * Business model: ESCOs provide services - Energy audits, arranging contracting, etc. * Finance model: fee for service - Utilities pay ESCOs for services

311

Statefinder Diagnostic for Dark Energy Models in Bianchi I Universe  

E-Print Network (OSTI)

In this paper, we investigate the statefinder, the deceleration and equation of state parameters when universe is composed of generalized holographic dark energy or generalized Ricci dark energy for Bianchi I universe model. These parameters are found for both interacting as well as non-interacting scenarios of generalized holographic or generalized Ricci dark energy with dark matter and generalized Chaplygin gas. We explore these parameters graphically for different situations. It is concluded that these models represent accelerated expansion of the universe.

M. Sharif; Rabia Saleem

2013-08-29T23:59:59.000Z

312

NEAMS: The Nuclear Energy Advanced Modeling and Simulation Program  

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

NEAMS: The Nuclear Energy Advanced NEAMS: The Nuclear Energy Advanced Modeling and Simulation Program The Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program is developing a simulation tool kit using leading-edge computational methods that will accelerate the development and deployment of nuclear power technologies that employ enhanced safety and security features, produce power more cost-effectively, and utilize natural resources more efficiently. The NEAMS ToolKit

313

MAPSS Vegetation Modeling | Open Energy Information  

Open Energy Info (EERE)

MAPSS Vegetation Modeling MAPSS Vegetation Modeling Jump to: navigation, search Tool Summary Name: MAPSS Vegetation Modeling Agency/Company /Organization: United States Forest Service Sector: Land Focus Area: Agriculture, Biomass, Forestry Topics: Co-benefits assessment, - Environmental and Biodiversity, Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Desktop Application Website: www.fs.fed.us/pnw/mdr/mapss/ MAPSS Vegetation Modeling Screenshot References: MAPSS[1] Applications "A landscape- to global-scale vegetation distribution model that was developed to simulate the potential biosphere impacts and biosphere-atmosphere feedbacks from climatic change. Model output from MAPSS has been used extensively in the Intergovernmental Panel on Climate

314

Definition: Conceptual Model | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon 禄 Definition: Conceptual Model Jump to: navigation, search Dictionary.png Conceptual Model In the broadest terms, a conceptual model is anything used to represent anything else. In geothermal exploration a conceptual model is a descriptive and qualitative model (not used for calculations) integrating and bringing together the physical features of a system to create a representation of the geothermal reservoir.[1] View on Wikipedia Wikipedia Definition In the most general sense, a model is anything used in any way to represent anything else. Some models are physical objects, for instance, a toy model which may be assembled, and may even be made to work like the object it represents. Whereas, a conceptual model is a model that exists

315

Spatial Statistical Procedures to Validate Input Data in Energy Models  

DOE Green Energy (OSTI)

Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy-related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the above-mentioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

Lawrence Livermore National Laboratory

2006-01-27T23:59:59.000Z

316

Spatial Statistical Procedures to Validate Input Data in Energy Models  

DOE Green Energy (OSTI)

Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

2006-01-01T23:59:59.000Z

317

Advanced Modeling and Simulation Documents | Department of Energy  

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

Advanced Modeling & Simulation 禄 Advanced Modeling Advanced Modeling & Simulation 禄 Advanced Modeling and Simulation Documents Advanced Modeling and Simulation Documents October 30, 2013 NEAMS Quarterly Report April-June 2013 The Nuclear Energy Advanced Modeling and Simulation (NEAMS) quarterly report includes highlights, fuel and reactor product line accomplishments, recent and upcoming milestones, news on BISON fuel benchmarks, the latest MeshKit release features, and information on numerical simulations of pebble-bed reactor cores performed by the thermal hydraulics team. September 9, 2013 Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements The purpose of the Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan is to define what the NEAMS

318

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.

319

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

320

Modeling Interregional Transmission Congestion in the National Energy Modeling System  

E-Print Network (OSTI)

Abbreviations AEO DOE ECAR ECP EERE EFD EIA EMM ERCOT FERCBudget and Analysis Program of EERE Rocky Mountain, Arizona,Efficiency and Renewable Energy (EERE) Program supports many

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

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

Petroleum Market Model of the National Energy Modeling System ...  

U.S. Energy Information Administration (EIA)

Energy Policy Act of 2005 ... The modification and optimization of the PMM LP matrix are accomplished by executing FORTRAN callable LP subroutines available from an

322

Biofuels Techno-Economic Models | Open Energy Information  

Open Energy Info (EERE)

Biofuels Techno-Economic Models Biofuels Techno-Economic Models Jump to: navigation, search Tool Summary Name: Biofuels Techno-Economic Models Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Fuels & Efficiency, Renewable Energy, Transportation Phase: Evaluate Options Topics: Potentials & Scenarios Resource Type: Software/modeling tools Website: www1.eere.energy.gov/analysis/tools.html#2 OpenEI Keyword(s): EERE tool, Biofuels Techno-Economic Models Language: English References: Design and Economics for Biochemical Conversion of Lignocellulosic Biomass to Ethanol[1] Model the production cost for ethanol to assess its competitiveness and market potential; quantify the economic impact of individual conversion performance targets and prioritize these in terms of their potential to

323

Ghost dark energy in $f(R)$ model of gravity  

E-Print Network (OSTI)

We study a correspondence between $f(R)$ model of gravity and a phenomenological kind of dark energy (DE), which is known as QCD ghost dark energy. Since this kind of dark energy is not stable in the context of Einsteinian theory of gravity and Brans-Dicke model of gravity, we consider two kinds of correspondence between modified gravity and DE. By studding the dynamical evolution of model and finding relevant quantities such as, equation of state parameter, deceleration parameter, dimensionless density parameter, we show that the model can describe the present Universe and also the EoS parameter can cross the phantom divide line without needs to any kinetic energy with negative sign. Furthermore, by obtaining the adiabatic squared sound speed of the model for different cases of interaction, we show that this model is stable.

Saaidi, Kh; Sabet, B

2012-01-01T23:59:59.000Z

324

A Dark Energy model combining DGP gravity and Chaplygin gas  

E-Print Network (OSTI)

The expansion of the Universe is accelerating, as testified by observations of supernovae of type Ia as a function of redshift. Explanations are of two types: modifications of Einstein gravity or new forms of energy, coined dark energy.The accelerated expansion is explained here by a combination of Dvali-Gabadadze-Porrati (DGP) model gravity and Chaplygin gas dark energy. Both models are characterized by a length scale L which may be the same. The continuity equation for the combined model is derived in flat geometry, and solved by numerical methods. The solution is shown to have the expected properties: at very small scales (aenergy density behaves as pressureless dust, at very large scales (a>>L) as a cosmological constant. The modifications to the DGP model and the Chaplygin gas model occur for values of a L. The results show an increase in the present dark energy density relative to the plain DGP model.

Matts Roos

2007-04-06T23:59:59.000Z

325

Smart Materials in Energy Modeling for Buildings  

Science Conference Proceedings (OSTI)

Symposium, Energy Conversion Photovoltaic, Concentrating Solar Power, and ... materials at the initial stages of a project, 'lower running cost' in the long run...

326

Policy modeling for industrial energy use  

E-Print Network (OSTI)

natural gas transportation tax, special consumption tax, education tax, etc under process of restructuring of energy tax system Financial support and incentives

2003-01-01T23:59:59.000Z

327

Model documentation Renewable Fuels Module of the National Energy Modeling System  

DOE Green Energy (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

328

Automated energy model creation for conceptual design  

Science Conference Proceedings (OSTI)

Architects today rarely use whole building energy analysis to inform their early design process. During this stage of design, the team is responsible for macro-level decisions (such as basic form and orientation) that can have the most significant effects ... Keywords: building performance simulation, design process, whole building energy analysis

Lillian Smith; Kyle Bernhardt; Matthew Jezyk

2011-04-01T23:59:59.000Z

329

Model documentation report: Transportation sector model of the National Energy Modeling System  

DOE Green Energy (OSTI)

Over the past year, several modifications have been made to the NEMS Transportation Model, incorporating greater levels of detail and analysis in modules previously represented in the aggregate or under a profusion of simplifying assumptions. This document is intended to amend those sections of the Model Documentation Report (MDR) which describe these superseded modules. Significant changes have been implemented in the LDV Fuel Economy Model, the Alternative Fuel Vehicle Model, the LDV Fleet Module, and the Highway Freight Model. The relevant sections of the MDR have been extracted from the original document, amended, and are presented in the following pages. A brief summary of the modifications follows: In the Fuel Economy Model, modifications have been made which permit the user to employ more optimistic assumptions about the commercial viability and impact of selected technological improvements. This model also explicitly calculates the fuel economy of an array of alternative fuel vehicles (AFV`s) which are subsequently used in the estimation of vehicle sales. In the Alternative Fuel Vehicle Model, the results of the Fuel Economy Model have been incorporated, and the program flows have been modified to reflect that fact. In the Light Duty Vehicle Fleet Module, the sales of vehicles to fleets of various size are endogenously calculated in order to provide a more detailed estimate of the impacts of EPACT legislation on the sales of AFV`s to fleets. In the Highway Freight Model, the previous aggregate estimation has been replaced by a detailed Freight Truck Stock Model, where travel patterns, efficiencies, and energy intensities are estimated by industrial grouping. Several appendices are provided at the end of this document, containing data tables and supplementary descriptions of the model development process which are not integral to an understanding of the overall model structure.

NONE

1997-02-01T23:59:59.000Z

330

Threshold 21 Model | Open Energy Information  

Open Energy Info (EERE)

Threshold 21 Model Threshold 21 Model 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: Threshold 21 Model Agency/Company /Organization: Millennium Institute Sector: Climate Topics: Co-benefits assessment, - Macroeconomic, Pathways analysis Resource Type: Software/modeling tools Complexity/Ease of Use: Moderate Website: www.millenniuminstitute.net/integrated_planning/tools/T21/index.html#r Cost: Free Threshold 21 Model Screenshot References: Threshold 21 Model[1] Related Tools MIT Emissions Prediction and Policy Analysis (EPPA) Model Global Atmospheric Pollution Forum Air Pollutant Emission Inventory Electricity Markets Analysis (EMA) Model

331

Definition: Numerical Modeling | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon 禄 Definition: Numerical Modeling Jump to: navigation, search Dictionary.png Numerical Modeling A computer model that is designed to simulate and reproduce the mechanisms of a particular system.[1] View on Wikipedia Wikipedia Definition A computer simulation, a computer model, or a computational model is a computer program, run on a single computer, or a network of computers, that attempts to simulate an abstract model of a particular system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics, astrophysics, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model.

332

Form:Buildings Model | Open Energy Information  

Open Energy Info (EERE)

Buildings Model Jump to: navigation, search This is the 'Buildings Model' form. To add a page with this form, enter the page name below; if a page with that name already exists,...

333

Human Behavior and Energy Use: Modeling the Relationships  

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

Human Behavior and Energy Use: Modeling the Relationships Human Behavior and Energy Use: Modeling the Relationships Speaker(s): Bin Shui Thomas Sanquist Date: July 29, 2009 - 12:00pm Location: 90-3122 This presentation summarizes the conceptual framework and some initial data analyses for a Laboratory Directed Research and Development project to develop models of the relationships between human behavior, energy use, climate change and national/international security. A brief history of social science in energy research is provided, followed by methods and data from an approach involving Consumer Lifestyle Analysis. Growth patterns in energy usage in the residential and personal travel sectors are illustrated, along with the indirect energy requirements to support that usage. General research needs in the area of behavior are discussed, some

334

Property:Buildings/ModelName | Open Energy Information  

Open Energy Info (EERE)

ModelName ModelName Jump to: navigation, search This is a property of type String. Pages using the property "Buildings/ModelName" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load Baseline + General Merchandise 2009 TSD Chicago High Plug Load Baseline + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings +

335

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Analysis Modeling System (PAMS) Analysis Modeling System (PAMS) (Redirected from Policy Analysis Modeling System) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

336

An Integrated Framework for Parametric Design Using Building Energy Models  

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

An Integrated Framework for Parametric Design Using Building Energy Models An Integrated Framework for Parametric Design Using Building Energy Models Speaker(s): Bryan Eisenhower Date: September 22, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Michael Wetter In this talk we will present a framework for analyses of building energy models including uncertainty and sensitivity analysis, optimization, calibration, and failure mode effect analysis. The methodology begins with efficient uniformly ergodic numerical sampling and regression analysis based on machine learning to derive an analytic representation of the full energy model (e.g. EnergyPlus, TRNSYS, etc). Once these steps are taken, and an analytical representation of the dynamics is obtained, multiple avenues for analysis are opened that were previously impeded by the

337

Nuclear binding energies from a BPS Skyrme model  

E-Print Network (OSTI)

Recently, within the space of generalized Skyrme models, a BPS submodel was identified which reproduces some bulk properties of nuclear matter already on a classical level and, as such, constitutes a promising field theory candidate for the detailed and reliable description of nuclei and hadrons. Here we extend and further develop these investigations by applying the model to the calculation of nuclear binding energies. Concretely, we calculate these binding energies by including the classical soliton energies, the excitation energies from the collective coordinate quantization of spin and isospin, the electrostatic Coulomb energies and a small explicit isospin symmetry breaking, which accounts for the mass difference between proton and neutron. The integrability properties of the BPS Skyrme model allow, in fact, for an analytical calculation of all contributions, which may then be compared with the semi-empirical mass formula. We find that for heavier nuclei, where the model is expected to be more accurate o...

Adam, C; Sanchez-Guillen, J; Wereszczynski, A

2013-01-01T23:59:59.000Z

338

Electric utility capacity expansion and energy production models for energy policy analysis  

DOE Green Energy (OSTI)

This report describes electric utility capacity expansion and energy production models developed for energy policy analysis. The models use the same principles (life cycle cost minimization, least operating cost dispatching, and incorporation of outages and reserve margin) as comprehensive utility capacity planning tools, but are faster and simpler. The models were not designed for detailed utility capacity planning, but they can be used to accurately project trends on a regional level. Because they use the same principles as comprehensive utility capacity expansion planning tools, the models are more realistic than utility modules used in present policy analysis tools. They can be used to help forecast the effects energy policy options will have on future utility power generation capacity expansion trends and to help formulate a sound national energy strategy. The models make renewable energy source competition realistic by giving proper value to intermittent renewable and energy storage technologies, and by competing renewables against each other as well as against conventional technologies.

Aronson, E.; Edenburn, M.

1997-08-01T23:59:59.000Z

339

NREL's Building Component Library for Use with Energy Models  

DOE Data Explorer (OSTI)

The Building Component Library (BCL) is the U.S. Department of Energy抯 comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. The BCL currently contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

340

Modeling overall energy consumption in Wireless Sensor Networks  

E-Print Network (OSTI)

Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. Optimizing a specific component of the total energy cost does not help in reducing the total energy cost as this reduction may be negated by an increase in the energy consumption of other components of the application. Recently we proposed Hierarchy Energy Driven Architecture as a robust architecture that takes into account all principal energy constituents of wireless sensor network applications. Based on the proposed architecture, this paper presents a single overall model and proposes a feasible formulation to express the overall energy consumption of a generic wireless sensor network application in terms of its energy constituents. The formulation offers a concrete expression for evaluating the performance of ...

Kamyabpour, Najmeh

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

SimModel: A domain data model for whole building energy simulation  

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

SimModel: A domain data model for whole building energy simulation SimModel: A domain data model for whole building energy simulation Title SimModel: A domain data model for whole building energy simulation Publication Type Conference Paper LBNL Report Number LBNL-5566E Year of Publication 2011 Authors O'Donnell, James, Richard See, Cody Rose, Tobias Maile, Vladimir Bazjanac, and Philip Haves Conference Name IBPSA Building Simulation 2011 Date Published 10/2011 Abstract Many inadequacies exist within industry-standard data models as used by present-day whole-building energy simulation software. Tools such as EnergyPlus and DOE-2 use custom schema definitions (IDD and BDL respectively) as opposed to standardized schema definitions (defined in XSD, EXPRESS, etc.). Non-standard data modes lead to a requirement for application developers to develop bespoke interfaces. Such tools have proven to be error prone in their implementation - typically resulting in information loss.

342

Multi-layer model of correlated energy prices  

Science Conference Proceedings (OSTI)

In this article we develop an extension of the affine jump-diffusion modeling framework and use it to build an intuitive and tractable model of an energy price complex. The development is motivated by the need to model prices of electricity while capturing ... Keywords: Affine jump-diffusion, Correlation, Electricity markets

Slimane Grine; Pavel Diko

2010-03-01T23:59:59.000Z

343

Developing an Energy Performance Modeling Startup Kit  

SciTech Connect

In 2011, the NAHB Research Center began the first part of the multi-year effort by assessing the needs and motivations of residential remodelers regarding energy performance remodeling. The scope is multifaceted - all perspectives will be sought related to remodeling firms ranging in size from small-scale, sole proprietor to national. This will allow the Research Center to gain a deeper understanding of the remodeling and energy retrofit business and the needs of contractors when offering energy upgrade services. To determine the gaps and the motivation for energy performance remodeling, the NAHB Research Center conducted (1) an initial series of focus groups with remodelers at the 2011 International Builders' Show, (2) a second series of focus groups with remodelers at the NAHB Research Center in conjunction with the NAHB Spring Board meeting in DC, and (3) quantitative market research with remodelers based on the findings from the focus groups. The goal was threefold, to: Understand the current remodeling industry and the role of energy efficiency; Identify the gaps and barriers to adding energy efficiency into remodeling; and Quantify and prioritize the support needs of professional remodelers to increase sales and projects involving improving home energy efficiency. This report outlines all three of these tasks with remodelers.

Wood, A.

2012-10-01T23:59:59.000Z

344

Energy-economy interactions revisited within a comprehensive sectoral model  

Science Conference Proceedings (OSTI)

This paper describes a computable general equilibrium (CGE) model with considerable sector and technology detail, the ``All Modular Industry Growth Assessment'' Model (AMIGA). It is argued that a detailed model is important to capture and understand the several rolls that energy plays within the economy. Fundamental consumer and industrial demands are for the services from energy; hence, energy demand is a derived demand based on the need for heating, cooling mechanical, electrical, and transportation services. Technologies that provide energy-services more efficiently (on a life cycle basis), when adopted, result in increased future output of the economy and higher paths of household consumption. The AMIGA model can examine the effects on energy use and economic output of increases in energy prices (e.g., a carbon charge) and other incentive-based policies or energy-efficiency programs. Energy sectors and sub-sector activities included in the model involve energy extraction conversion and transportation. There are business opportunities to produce energy-efficient goods (i.e., appliances, control systems, buildings, automobiles, clean electricity). These activities are represented in the model by characterizing their likely production processes (e.g., lighter weight motor vehicles). Also, multiple industrial processes can produce the same output but with different technologies and inputs. Secondary recovery, i.e., recycling processes, are examples of these multiple processes. Combined heat and power (CHP) is also represented for energy-intensive industries. Other modules represent residential and commercial building technologies to supply energy services. All sectors of the economy command real resources (capital services and labor).

Hanson, D. A.; Laitner, J. A.

2000-07-24T23:59:59.000Z

345

Generation and Transmission Maximization Model | Open Energy Information  

Open Energy Info (EERE)

Generation and Transmission Maximization Model Generation and Transmission Maximization Model Jump to: navigation, search Tool Summary Name: Generation and Transmission Maximization Model Agency/Company /Organization: Argonne National Laboratory Sector: Energy Topics: Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.dis.anl.gov/projects/Gtmax.html Cost: Paid Generation and Transmission Maximization Model Screenshot References: Generation and Transmission Maximization Model [1] Logo: Generation and Transmission Maximization Model The GTMax model helps researchers study complex marketing and system operational issues. With the aid of this comprehensive model, utility operators and managers can maximize the value of the electric system, taking into account not only its limited energy and transmission resources,

346

Biotrans: Cost Optimization Model | Open Energy Information  

Open Energy Info (EERE)

Biotrans: Cost Optimization Model Biotrans: Cost Optimization Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biotrans: Cost Optimization Model Focus Area: Ethanol Topics: Market Analysis Website: www.ecn.nl/units/ps/models-and-tools/biotrans/ Equivalent URI: cleanenergysolutions.org/content/biotrans-cost-optimization-model,http Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation BIOTRANS optimizes the biofuel supply chain allocation by finding the least-cost configuration of resources and trade to meet a specified biofuel demand in the European transportation sector. The user can constrain the optimization by inputting a number of economic and technological assumptions for a specific target year. References Retrieved from

347

Modeling and Simulation for Nuclear Reactors Hub | Department of Energy  

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

Modeling and Simulation for Nuclear Reactors Hub Modeling and Simulation for Nuclear Reactors Hub Modeling and Simulation for Nuclear Reactors Hub August 1, 2010 - 4:20pm Addthis Scientists and engineers are working to help the nuclear industry make reactors more efficient through computer modeling and simulation. Scientists and engineers are working to help the nuclear industry make reactors more efficient through computer modeling and simulation. The Department's Energy Innovation Hubs are helping to advance promising areas of energy science and engineering from the earliest stages of research to the point of commercialization where technologies can move to the private sector by bringing together leadings scientists to collaborate on critical energy challenges. The Energy Innovation Hubs aim to develop innovation through a unique

348

Energy standards and model codes development, adoption, implementation, and enforcement  

Science Conference Proceedings (OSTI)

This report provides an overview of the energy standards and model codes process for the voluntary sector within the United States. The report was prepared by Pacific Northwest Laboratory (PNL) for the Building Energy Standards Program and is intended to be used as a primer or reference on this process. Building standards and model codes that address energy have been developed by organizations in the voluntary sector since the early 1970s. These standards and model codes provide minimum energy-efficient design and construction requirements for new buildings and, in some instances, existing buildings. The first step in the process is developing new or revising existing standards or codes. There are two overall differences between standards and codes. Energy standards are developed by a consensus process and are revised as needed. Model codes are revised on a regular annual cycle through a public hearing process. In addition to these overall differences, the specific steps in developing/revising energy standards differ from model codes. These energy standards or model codes are then available for adoption by states and local governments. Typically, energy standards are adopted by or adopted into model codes. Model codes are in turn adopted by states through either legislation or regulation. Enforcement is essential to the implementation of energy standards and model codes. Low-rise residential construction is generally evaluated for compliance at the local level, whereas state agencies tend to be more involved with other types of buildings. Low-rise residential buildings also may be more easily evaluated for compliance because the governing requirements tend to be less complex than for commercial buildings.

Conover, D.R.

1994-08-01T23:59:59.000Z

349

Integrating Module of the National Energy Modeling System: Model Documentation  

E-Print Network (OSTI)

independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies.

Www. Eia. Gov

2012-01-01T23:59:59.000Z

350

Energy laboratory data and model directory  

E-Print Network (OSTI)

Over the past several years M.I.T. faculty, staff, and students have produced a substantial body of research and analysis relating to the production, conversion, and use of energy in domestic and international markets. ...

Lahiri, S.

1981-01-01T23:59:59.000Z

351

Model and control for cooperative energy management  

E-Print Network (OSTI)

Proto/Amorphous Cooperative Energy Management (PACEM) aims to build and deploy a highly scalable system for smart power grids that will enable efficient demand shaping for small-user networks. Two key problems are to provide ...

Ranade, Vinayak V

2010-01-01T23:59:59.000Z

352

Dark energy model with higher derivative of Hubble parameter  

E-Print Network (OSTI)

In this letter we consider a dark energy model in which the energy density is a function of the Hubble parameter $H$ and its derivative with respect to time $\\rho_{de}=3\\alpha \\ddot{H}H^{-1}+3\\beta\\dot{H}+3\\gamma H^2$. The behavior of the dark energy and the expansion history of the Universe depend heavily on the parameters of the model $\\alpha$, $\\beta$ and $\\gamma$. It is very interesting that the age problem of the well-known three old objects can be alleviated in this models.

Songbai Chen; Jiliang Jing

2009-04-20T23:59:59.000Z

353

Development of a Sea Ice Model for Use in Zonally Averaged Energy Balance Climate Models  

Science Conference Proceedings (OSTI)

A sea ice model for use in zonally averaged energy balance climate models is presented which includes the following processes: surface melting, basal freezing and melting, lateral melting from ice-flee water or growth of new ice in leads, ...

L. D. Danny Harvey

1988-12-01T23:59:59.000Z

354

Coupling Air Flow Models to Load/Energy Models and Implications for  

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

Coupling Air Flow Models to Load/Energy Models and Implications for Coupling Air Flow Models to Load/Energy Models and Implications for Envelope Component Testing and Modeling Speaker(s): Brent Griffith Date: July 30, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Dariush Arasteh Air models allow accounting for air temperature variations within a thermal zone or along the surface of an envelope component. A recently completed ASHRAE research project (RP-1222) produced a source code toolkit focused on coupling airflow models to load routines typical of whole building energy simulation. The two modeling domains are computed separately (and iteratively) with relevant temperature boundary conditions passed back and forth. One of the air models in the toolkit is a new contribution to crude/fast airflow modeling that is based on solving the Euler equation

355

Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025  

E-Print Network (OSTI)

curves Renewable energy supply curves Least cost dispatchcosts and performance of all conventional power and renewable energyrenewable portfolio standard Stochastic Energy Deployment System model Union of Concerned Scientists weighted average cost

Blair, N.

2010-01-01T23:59:59.000Z

356

Modeling-Computer Simulations | Open Energy Information  

Open Energy Info (EERE)

Modeling-Computer Simulations Modeling-Computer Simulations Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Modeling-Computer Simulations Details Activities (78) Areas (31) Regions (5) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Stress fields and magnitudes Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids Thermal: Thermal conduction and convection patterns in the subsurface Cost Information Low-End Estimate (USD): 85.008,500 centUSD 0.085 kUSD 8.5e-5 MUSD 8.5e-8 TUSD / hour Median Estimate (USD): 195.0019,500 centUSD

357

Property:BrophyModel | Open Energy Information  

Open Energy Info (EERE)

BrophyModel BrophyModel Jump to: navigation, search Property Name BrophyModel Property Type Page Description Application of Brophy's occurrence models to each area based on its tectonic and structural setting. See also Brophy Occurrence Models Allows Values Type A: Magma-heated, Dry Steam Resource;Type B: Andesitic Volcanic Resource;Type C: Caldera Resource;Type D: Sedimentary-hosted, Volcanic-related Resource;Type E: Extensional Tectonic, Fault-Controlled Resource;Type F: Oceanic-ridge, Basaltic Resource This is a property of type Page. Subproperties This property has the following 3 subproperties: L Lightning Dock Geothermal Area V Valles Caldera - Redondo Geothermal Area Valles Caldera - Sulphur Springs Geothermal Area Pages using the property "BrophyModel"

358

Petroleum Market Model of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.

NONE

1997-01-01T23:59:59.000Z

359

Policy Analysis Modeling System (PAMS) | Open Energy Information  

Open Energy Info (EERE)

Policy Analysis Modeling System (PAMS) Policy Analysis Modeling System (PAMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

360

Data and Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

and Modeling Techniques and Modeling Techniques Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Data and Modeling Techniques Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: None Parent Exploration Technique: Exploration Techniques Information Provided by Technique Lithology: Rock types, rock chemistry, stratigraphic layer organization Stratigraphic/Structural: Stress fields and magnitudes, location and shape of permeable and non-permeable structures, faults, and fracture patterns Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids, hydrothermal fluid flow characteristics, up-flow patterns

Note: This page contains sample records for the topic "nattional energy modeling" 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

National Strategic Unconventional Resource Model | Department of Energy  

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

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

362

National Strategic Unconventional Resource Model | Department of Energy  

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

National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model National Strategic Unconventional Resource Model This is the second revision to the National Strategic Unconventional Resources Model that was developed in 2005-2006 to support the Task Force mandated by Congress in subsection 369(h) of the Energy Policy Act of 2005. The primary function of the first Model was to evaluate varying economic scenarios for four technologies: Surface Mining, Underground Mining, Modified In-Situ, and True In-Situ. In 2009 the Model was revised to update the cost data in the first Model. This second revision of the Model adds a fifth Hybrid technology that can be evaluated economically; and it also adds the capability of determining water requirements, CO2 production, and energy efficiency for the first four technologies. Subject to the

363

VISION Model for Vehicle Technologies and Alternative Fuels | Open Energy  

Open Energy Info (EERE)

VISION Model for Vehicle Technologies and Alternative Fuels VISION Model for Vehicle Technologies and Alternative Fuels Jump to: navigation, search Tool Summary LAUNCH TOOL Name: VISION Model for Vehicle Technologies and Alternative Fuels Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Transportation Phase: Create a Vision Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.transportation.anl.gov/modeling_simulation/VISION/ OpenEI Keyword(s): EERE tool, VISION Model for Vehicle Technologies and Alternative Fuels References: The VISION Model [1] Estimate the potential energy use, oil use, and carbon emission impacts of advanced light and heavy-duty vehicle technologies and alternative fuels through 2050. The VISION model has been developed to provide estimates of the potential

364

Energetics Analysis of a Multilevel Global Spectral Model. Part I: Balanced Energy and Transient Energy  

Science Conference Proceedings (OSTI)

We introduce a new energetics concept and apply it to the NCAR Community Climate Model. The new features of our approach are that the energy is split into balanced and transient parts and that the balanced energy consists of rotational energy and ...

Shun Der Ko; Joseph J. Tribbia; John P. Boyd

1989-09-01T23:59:59.000Z

365

A single model of interacting dark energy: generalized phantom energy or generalized Chaplygin gas  

E-Print Network (OSTI)

I present a model in which dark energy interacts with matter. The former is represented by a variable equation of state. It is shown that the phantom crossing takes place at zero redshift, moreover, stable scaling solution of the Friedmann equations is obtained. I show that dark energy is most probably be either generalized phantom energy or the generalized Chaplygin gas.

Mubasher Jamil

2009-12-22T23:59:59.000Z

366

Business Models for Code Compliance | Building Energy Codes Program  

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

Compliance Compliance Site Map Printable Version Development Adoption Compliance Basics Compliance Evaluation Software & Web Tools Regulations Resource Center Business Models for Code Compliance The U.S. Department of Energy is coordinating strategies and activities with companies, individuals, and government entities to demonstrate, quantify, and monetize energy code compliance and coordinate deployment at the local, state, and regional levels. Consumer Assurance through Code Compliance Energy efficiency measures in the buildings sector, if properly realized and captured, provide a tremendous opportunity to reduce energy consumption and expenditures. Yet currently there is a lack of assurance that buildings as designed realize the levels of energy efficiency established in the

367

Building an Efficient Model for Afterburn Energy Release  

Science Conference Proceedings (OSTI)

Many explosives will release additional energy after detonation as the detonation products mix with the ambient environment. This additional energy release, referred to as afterburn, is due to combustion of undetonated fuel with ambient oxygen. While the detonation energy release occurs on a time scale of microseconds, the afterburn energy release occurs on a time scale of milliseconds with a potentially varying energy release rate depending upon the local temperature and pressure. This afterburn energy release is not accounted for in typical equations of state, such as the Jones-Wilkins-Lee (JWL) model, used for modeling the detonation of explosives. Here we construct a straightforward and efficient approach, based on experiments and theory, to account for this additional energy release in a way that is tractable for large finite element fluid-structure problems. Barometric calorimeter experiments have been executed in both nitrogen and air environments to investigate the characteristics of afterburn for C-4 and other materials. These tests, which provide pressure time histories, along with theoretical and analytical solutions provide an engineering basis for modeling afterburn with numerical hydrocodes. It is toward this end that we have constructed a modified JWL equation of state to account for afterburn effects on the response of structures to blast. The modified equation of state includes a two phase afterburn energy release to represent variations in the energy release rate and an afterburn energy cutoff to account for partial reaction of the undetonated fuel.

Alves, S; Kuhl, A; Najjar, F; Tringe, J; McMichael, L; Glascoe, L

2012-02-03T23:59:59.000Z

368

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聴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.

369

Model Wind Ordinance | Department of Energy  

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

You are here You are here Home 禄 Model Wind Ordinance Model Wind Ordinance < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Utility Savings Category Wind Buying & Making Electricity Program Info State North Carolina Program Type Solar/Wind Permitting Standards Provider North Carolina Department of Commerce ''Note: This model ordinance was designed to provide guidance to local governments that wish to develop their own siting rules for wind turbines. While it was developed as part of a cooperative effort involving several state agencies, the model itself has no legal or regulatory authority.'' In July, 2008 the North Carolina Wind Working Group, a coalition of state government, non-profit and wind industry organizations, published a model

370

Modeling Windows in Energy Plus with Simple Performance Indices  

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

Modeling Windows in Energy Plus with Simple Performance Indices Modeling Windows in Energy Plus with Simple Performance Indices Title Modeling Windows in Energy Plus with Simple Performance Indices Publication Type Report LBNL Report Number LBNL-2804E Year of Publication 2009 Authors Arasteh, Dariush K., Christian Kohler, and Brent T. Griffith Date Published 10/2009 Call Number LBNL-2804E Abstract The paper describes the development of a model specification for performance monitoring systems for commercial buildings. The specification focuses on four key aspects of performance monitoring: performance metrics measurement system requirements data acquisition and archiving data visualization and reporting The aim is to assist building owners in specifying the extensions to their control systems that are required to provide building operators with the information needed to operate their buildings more efficiently and to provide automated diagnostic tools with the information required to detect and diagnose faults and problems that degrade energy performance.

371

A dark energy model alternative to generalized Chaplygin gas  

E-Print Network (OSTI)

We propose a new fluid model of dark energy for $-1 \\leq \\omega_{\\text{eff}} \\leq 0$ as an alternative to the generalized Chaplygin gas models. The energy density of dark energy fluid is severely suppressed during barotropic matter dominant epochs, and it dominates the universe evolution only for eras of small redshift. From the perspective of fundamental physics, the fluid is a tachyon field with a scalar potential flatter than that of power-law decelerated expansion. Different from the standard $\\Lambda\\text{CDM}$ model, the suggested dark energy model claims that the cosmic acceleration at present epoch can not continue forever but will cease in the near future and a decelerated cosmic expansion will recover afterwards.

Hova, Hoavo

2010-01-01T23:59:59.000Z

372

Argonne gets wind of new energy models | Argonne National Laboratory  

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

gets wind of new energy models By Jared Sagoff * January 11, 2010 Tweet EmailPrint Sailors and golfers aren't the only people interested in knowing how much the wind blows; people...

373

Modeling Tropical Convergence Based on the Moist Static Energy Budget  

Science Conference Proceedings (OSTI)

The vertically integrated moist static energy equation provides a convenient starting point for the construction of simple models of the time-mean low level convergence in the tropics. A vertically integrated measure of the moist static stability,...

J. David Neelin; Isaac M. Held

1987-01-01T23:59:59.000Z

374

Heat Pump Water Heater Modeling in EnergyPlus (Presentation)  

SciTech Connect

This presentation summarizes NREL's development of a HPWH model for use in hourly building energy simulation programs, such as BEopt; this presentation was given at the Building America Stakeholder meeting on March 1, 2012, in Austin, Texas.

Wilson, E.; Christensen, C.

2012-03-01T23:59:59.000Z

375

ME EET Seminar: Modeling of Supply Chain Energy Efficiency and...  

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

ME EET Seminar: Modeling of Supply Chain Energy Efficiency and Greenhouse Gas Mitigation Potentials Speaker(s): Eric Masanet Date: March 17, 2010 - 1:30pm Location: Campus: 3110...

376

Heat Pump Water Heater Modeling in EnergyPlus (Presentation)  

SciTech Connect

This presentation summarizes NREL's development of a HPWH model for use in hourly building energy simulation programs, such as BEopt; this presentation was given at the Building America Stakeholder meeting on March 1, 2012, in Austin, Texas.

Wilson, E.; Christensen, C.

2012-03-01T23:59:59.000Z

377

Modeling and design of a MEMS piezoelectric vibration energy harvester  

E-Print Network (OSTI)

The modeling and design of MEMS-scale piezoelectric-based vibration energy harvesters (MPVEH) are presented. The work is motivated by the need for pervasive and limitless power for wireless sensor nodes that have application ...

Du Toit, No雔 Eduard

2005-01-01T23:59:59.000Z

378

Recommendations concerning energy information model documentation, public access, and evaluation  

E-Print Network (OSTI)

In this study we provide an analysis of the factors underlying Congressional concern regarding model documentation, policies for public access, and evaluation procedures of the Energy Information Administration (EIA) and ...

Wood, David O.

1979-01-01T23:59:59.000Z

379

An evaluation of the ORNL residential energy use model  

E-Print Network (OSTI)

This report provides an evaluation of the architecture, empirical foundation, and applications of the Oak Ridge National Laboratory (ORNL) residential energy use model. A particular effort is made to identify the strengths ...

McFadden, Daniel

1981-01-01T23:59:59.000Z

380

Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025  

E-Print Network (OSTI)

cost of capital Wind Deployment System model ii Executive Summary Energycosts, performance and fuel prices taken from EIA抯 Annual Energy Outlook (AEO), 20% wind

Blair, N.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

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

SciTech Connect

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.

1997-02-01T23:59:59.000Z

382

ORQA: Modeling Energy and Quality of Service within AUTOSAR Models  

E-Print Network (OSTI)

driven architecture, energy consumption, Quality of Service c ACM 2013. This is the author's version- national ACM Sigsoft Conference on the Quality of Software Architectures (QoSA) Proceedings, June 17 system. Each consuming device such as the lamps, the air-conditioning and so on is managed by a dedicated

383

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report details EPRI's continued efforts to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study refines and expands marginal CO2 intensities of energy eff...

2010-12-28T23:59:59.000Z

384

Optimal Model of Distributed Energy System by Using GAMS and Case Study  

E-Print Network (OSTI)

Optimal Model of Distributed Energy System by Using GAMS andEnergy Reliability, Distributed Energy Program of the U.S.Optimal Model of Distributed Energy System by Using GAMS and

Yang, Yongwen; Gao, Weijun; Ruan, Yingjun; Xuan, Ji; Zhou, Nan; Marnay, Chris

2005-01-01T23:59:59.000Z

385

Brophy Occurrence Models | Open Energy Information  

Open Energy Info (EERE)

Brophy Occurrence Models Brophy Occurrence Models Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Brophy Occurrence Models Dictionary.png Brophy Occurrence Models: Paul Brophy has classified geothermal areas based on a variety of properties such as tectonic setting, controlling structures, and fluid properties. Other definitions:Wikipedia Reegle Type Examples Topography Climate Depth to Resource (m) Surface Manifestations Permeability Type A: Magma-heated, Dry Steam Resource The Geysers Rugged to mountainous Variable Usually deep (2500-4000) Restricted Low to moderate fracture permeability Type B: Andesitic Volcanic Resource Philippines, Indonesia, Central and South America Usually mountainous Variable - usually high precipitation Deep to moderate Restricted, depending on depth and shallow ground water Low to moderate fracture permeability - often high

386

Annual Energy Outlook 2000 - Model Results & Report  

Gasoline and Diesel Fuel Update (EIA)

Forecasts Summary of the AEO2001 Cases Scenarios - Appendix Table G1 bullet1.gif (843 bytes) Model Results (Formats - PDF, ZIP) - Appendix Tables - Reference Case - 1998 to 2020...

387

Commercial Buildings Sector Agent-Based Model | Open Energy Information  

Open Energy Info (EERE)

Commercial Buildings Sector Agent-Based Model Commercial Buildings Sector Agent-Based Model Jump to: navigation, search Tool Summary Name: Commercial Buildings Sector Agent-Based Model Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Buildings - Commercial Phase: Evaluate Options Topics: Implementation Resource Type: Technical report User Interface: Website Website: web.anl.gov/renewables/research/building_agent_based_model.html OpenEI Keyword(s): EERE tool, Commercial Buildings Sector Agent-Based Model Language: English References: Building Efficiency: Development of an Agent-based Model of the US Commercial Buildings Sector[1] Model the market-participants, dynamics, and constraints-help decide whether to adopt energy-efficient technologies to meet commercial building

388

Heat Pump Water Heating Modeling in EnergyPlus  

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

Heat Pump Water Heater Modeling Heat Pump Water Heater Modeling in EnergyPlus Building America Residential Energy Efficiency Stakeholder Meeting Eric Wilson Craig Christensen March 1, 2012 2 Modeling Issues Results Motivation Heat Pump Water Heater Modeling... 3 Gap: Existing analysis tools cannot accurately model HPWHs with reasonable runtime. 4 What have we achieved so far? Laboratory Evaluations 14 x Field Monitoring 5 Closing the Gap Laboratory Evaluations 6 sec timestep hourly timestep 14 x Field Monitoring CARB 6 Why is modeling important? * Performance varies: Can't just use EF * System interaction o HPWH affects building heating and cooling o Space conditions affect HPWH performance 7 Modeling Goals * Manage Risks o Accuracy o Run time o Occupant satisfaction * Flexibility to explore the effects of:

389

Electricity Markets Analysis (EMA) Model | Open Energy Information  

Open Energy Info (EERE)

Electricity Markets Analysis (EMA) Model Electricity Markets Analysis (EMA) Model 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: Electricity Markets Analysis (EMA) Model Agency/Company /Organization: Research Triangle Institute Sector: Energy Topics: Co-benefits assessment, - Energy Access, Market analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Advanced Website: www.rti.org/page.cfm?objectid=DDC06637-7973-4B0F-AC46B3C69E09ADA9 RelatedTo: Applied Dynamic Analysis of the Global Economy (ADAGE) Model Electricity Markets Analysis (EMA) Model Screenshot References: Electricity Markets Analysis (EMA) Model[1]

390

Implementation of a Corporate Energy Accounting and Forecasting Model  

E-Print Network (OSTI)

The development and implementation of a Frito-Lay computer based energy consumption reporting and modeling program is discussed. The system has been designed to relate actual plant energy consumption to a standard consumption which incorporates the effects of weather, product mix, specific equipment types, and other plant factors. The model also provides energy consumption forecasts based on projected production, equipment improvements, and fuels mix. Development of the model began in August 1979 and was preceded by two years of complete auditing of all areas in two manufacturing plants plus specific processing lines in other plants to determine typical energy usage. Extensive analyses of the data resulted in the formulation of standards for the various pieces of equipment which are used as energy performance 'yardsticks'. Monthly reports permit equitable comparisons of plant energy consumption and isolation of those plants with the lowest efficiencies. The financial impact of increasing energy consumption, of the projected energy use for new plants or plant expansions, and of the effect of process changes on overall energy consumption can be also evaluated.

Kympton, H. W.; Bowman, B. M.

1981-01-01T23:59:59.000Z

391

Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 1  

Science Conference Proceedings (OSTI)

This volume contains input data and parameters used in the model of the transportation sector of the National Energy Modeling System. The list of Transportation Sector Model variables includes parameters for the following: Light duty vehicle modules (fuel economy, regional sales, alternative fuel vehicles); Light duty vehicle stock modules; Light duty vehicle fleet module; Air travel module (demand model and fleet efficiency model); Freight transport module; Miscellaneous energy demand module; and Transportation emissions module. Also included in these appendices are: Light duty vehicle market classes; Maximum light duty vehicle market penetration parameters; Aircraft fleet efficiency model adjustment factors; and List of expected aircraft technology improvements.

NONE

1998-01-01T23:59:59.000Z

392

Validation of building energy modeling tools: ecotect, green building studio and IES  

Science Conference Proceedings (OSTI)

Building energy modeling (BEM) helps architects, engineers and green building consultants in designing increasingly energy-efficient buildings. When used in conjunction with Building Information Modeling (BIM), integration of energy modeling into the ...

Thomas Reeves; Svetlana Olbina; Raymond Issa

2012-12-01T23:59:59.000Z

393

Ghost dark energy in $f(R)$ model of gravity  

E-Print Network (OSTI)

We study a correspondence between $f(R)$ model of gravity and a phenomenological kind of dark energy (DE), which is known as QCD ghost dark energy. Since this kind of dark energy is not stable in the context of Einsteinian theory of gravity and Brans-Dicke model of gravity, we consider two kinds of correspondence between modified gravity and DE. By studding the dynamical evolution of model and finding relevant quantities such as, equation of state parameter, deceleration parameter, dimensionless density parameter, we show that the model can describe the present Universe and also the EoS parameter can cross the phantom divide line without needs to any kinetic energy with negative sign. Furthermore, by obtaining the adiabatic squared sound speed of the model for different cases of interaction, we show that this model is stable. Finally, we fit this model with supernova observational data in a non interaction case and we find the best values of parameter at $1\\sigma$ confidence interval as; $f_0=0.958^{+0.07}_{-0.25}$, $\\beta=-0,256^{+0.2}_{-0.1}$, and $\\Om_{m_0} = 0.23^{+0.3}_{-0.15}$. These best-fit values show that dark energy equation of state parameter, $\\om_{d_0}$, can cross the phantom divide line at the present time.

Kh. Saaidi; Ali. Aghamohammadi; B. Sabet; O. Farooq

2012-03-17T23:59:59.000Z

394

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

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The National Energy Modeling System: An Overview 2003 Industrial Demand Module Figure 7. Industrial Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Economic Subsectors Within the IDM Table. Need help, contact the National Energy Information Center at 202-586-8800. Industrial Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Fuel Consuming Activities for the Energy-Intensive Manufacturing Subsectors Table. Need help, contact the National Energy Information Center at 202-586-8800. The industrial demand module (IDM) forecasts energy consumption for fuels and feedstocks for nine manufacturing industries and six nonmanufactur- ing

395

Model documentation renewable fuels module of the National Energy Modeling System  

DOE Green Energy (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 1997 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. This documentation report serves three 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. Finally, such documentation facilitates continuity in EIA model development by providing information sufficient to perform model enhancements and data updates as part of EIA`s ongoing mission to provide analytical and forecasting information systems.

NONE

1997-04-01T23:59:59.000Z

396

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.

397

New Models of Public Ownership in Energy  

E-Print Network (OSTI)

impose significant new investment requirements on the power sector. Continuous technological improvements (combined with reasonably benign fossil fuel prices) ensured significant real unit cost reductions in power costs (and even larger reductions... , there has been a re-emergence of political concerns about fossil fuel energy security in many countries. The EU is a good example of this. Here the Ukrainian gas supply crises of 2006 and 2009 resulted in reduced supplies of Russian gas into the European...

Haney, Aoife Brophy; Pollitt, Michael G.

398

Generalized holographic dark energy model described at the Hubble length  

E-Print Network (OSTI)

We generalize the holographic dark energy model described in Hubble length IR cutoff by assuming a slowly time varying function for holographic parameter $c^2$. We calculate the evolution of EoS parameter and the deceleration parameter as well as the evolution of dark energy density in this generalized model. We show that the phantom line is crossed from quintessence regime to phantom regime which is in agreement with observation. The evolution of deceleration parameter indicates the transition from decelerated to accelerated expansion. Eventually, we show that the GHDE with HIR cutoff can interpret the pressureless dark matter era at the early time and dark energy dominated phase later.

M. Malekjani

2012-09-25T23:59:59.000Z

399

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

SciTech Connect

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

400

Coastal Harbors Modeling Facility | Open Energy Information  

Open Energy Info (EERE)

Modeling Facility Modeling Facility Jump to: navigation, search Basic Specifications Facility Name Coastal Harbors Modeling Facility Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 121.9 Beam(m) 48.8 Depth(m) 0.5 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.2 Maximum Wave Height(m) at Wave Period(s) 2.3 Wave Period Range(s) 2.3 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system

Note: This page contains sample records for the topic "nattional energy modeling" 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

Coastal Inlet Model Facility | Open Energy Information  

Open Energy Info (EERE)

Inlet Model Facility Inlet Model Facility Jump to: navigation, search Basic Specifications Facility Name Coastal Inlet Model Facility Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 103.6 Beam(m) 48.8 Depth(m) 0.6 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.2 Maximum Wave Height(m) at Wave Period(s) 2.3 Wave Period Range(s) 2.3 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system

402

Sectional Model Flume Facilities | Open Energy Information  

Open Energy Info (EERE)

Sectional Model Flume Facilities Sectional Model Flume Facilities Jump to: navigation, search Basic Specifications Facility Name Sectional Model Flume Facilities Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Flume Length(m) 21.3 Beam(m) 1.4 Depth(m) 2.4 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.0 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking No Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Recirculating No Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system Cameras None Available Sensors Flow, Pressure Range(psi), Turbulence, Velocity, Wave Probe

403

Stimulation Prediction Models | Open Energy Information  

Open Energy Info (EERE)

Stimulation Prediction Models Stimulation Prediction Models Jump to: navigation, search Geothermal ARRA Funded Projects for Stimulation Prediction Models Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":200,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026 further results","default":"","geoservice":"google","zoom":false,"width":"600px","height":"350px","centre":false,"layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","icon":"","visitedicon":"","forceshow":true,"showtitle":true,"hidenamespace":false,"template":false,"title":"","label":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"locations":[{"text":"

404

Definition: Brophy Occurrence Models | Open Energy Information  

Open Energy Info (EERE)

Definition Definition Edit with form History Facebook icon Twitter icon 禄 Definition: Brophy Occurrence Models Jump to: navigation, search Dictionary.png Brophy Occurrence Models Paul Brophy has classified geothermal areas based on a variety of properties such as tectonic setting, controlling structures, and fluid properties.[2] References 鈫 Colin F. Williams,Marshall J. Reed,Arlene F. Anderson. 2011. Updating the Classification of Geothermal Resources. In: Thirty-Sixth Workshop on Geothermal Reservoir Engineering; 2011/02/02; Stanford, California. Stanford, California: Stanford University; p. 鈫 [1] Ret Like Like You like this.Sign Up to see what your friends like. rieved from "http://en.openei.org/w/index.php?title=Definition:Brophy_Occurrence_Models&oldid=699053"

405

Coastal Structures Modeling Complex | Open Energy Information  

Open Energy Info (EERE)

Structures Modeling Complex Structures Modeling Complex Jump to: navigation, search Basic Specifications Facility Name Coastal Structures Modeling Complex Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 54.9 Beam(m) 35.4 Depth(m) 1.4 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.3 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Both Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system Cameras None

406

Supercomputer assisted generation of machine learning agents for the calibration of building energy models  

Science Conference Proceedings (OSTI)

Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus ... Keywords: big data, building energy modeling, calibration, machine learning, parametric ensemble, supercomputer

Jibonananda Sanyal; Joshua New; Richard Edwards

2013-07-01T23:59:59.000Z

407

Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program  

DOE Green Energy (OSTI)

EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

Don Shirey

2008-02-28T23:59:59.000Z

408

Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program  

SciTech Connect

EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

Don Shirey

2008-02-28T23:59:59.000Z

409

DYNASTORE - A Computer Model for Quantifying Dynamic Energy Storage Benefits  

Science Conference Proceedings (OSTI)

Now in development, the DYNASTORE computer model is the first production cost model designed to accurately represent changes in the utility daily load. By quantifying the dynamic benefits of energy storage, it highlights the significant cost savings linked with this technology.

1987-12-16T23:59:59.000Z

410

Integrating Module of the National Energy Modeling System  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2010-06-01T23:59:59.000Z

411

Modeling the energy consumption for concurrent executions of parallel tasks  

Science Conference Proceedings (OSTI)

Programming models using parallel tasks provide portable performance and scalability for modular applications on many high-performance systems. This is achieved by the flexibility of a two-level programming structure supporting mixed task and data parallelism. ... Keywords: communication, energy model, task-based programming

Thomas Rauber; Gudula R黱ger

2011-04-01T23:59:59.000Z

412

Property:Buildings/ModelYear | Open Energy Information  

Open Energy Info (EERE)

Buildings/ModelYear Buildings/ModelYear Jump to: navigation, search This is a property of type Date. Pages using the property "Buildings/ModelYear" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami Low Plug Load Baseline + 2009 +

413

Growth Diagnostics for Dark Energy models and EUCLID forecast  

E-Print Network (OSTI)

In this work we introduce a new set of parameters $(r_{g}, s_{g})$ involving the linear growth of matter perturbation that can distinguish and constrain different dark energy models very efficiently. Interestingly, for $\\Lambda$CDM model these parameters take exact value $(1,1)$ at all red shifts whereas for models different from $\\Lambda$CDM, they follow different trajectories in the $(r_{g}, s_{g})$ phase plane. By considering the parametrization for the dark energy equation of state ($w$) and for the linear growth rate ($f_{g}$), we show that different dark energy behaviours with similar evolution of the linear density contrast, can produce distinguishable trajectories in the $(r_{g}, s_{g})$ phase plane. Moreover, one can put stringent constraint on these phase plane using future measurements like EUCLID ruling out some of the dark energy behaviours.

Sampurnanand; Anjan A. Sen

2013-01-06T23:59:59.000Z

414

Infiltration modeling guidelines for commercial building energy analysis  

SciTech Connect

This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.

Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.

2009-09-30T23:59:59.000Z

415

White paper on VU for Modeling Nuclear Energy Systems  

SciTech Connect

The purpose of this whitepaper is to provide a framework for understanding the role that Verification and Validation (V&V), Uncertainty Quantification (UQ) and Risk Quantification, collectively referred to as VU, is expected to play in modeling nuclear energy systems. We first provide background for the modeling of nuclear energy based systems. We then provide a brief discussion that emphasizes the critical elements of V&V as applied to nuclear energy systems but is general enough to cover a broad spectrum of scientific and engineering disciplines that include but are not limited to astrophysics, chemistry, physics, geology, hydrology, chemical engineering, mechanical engineering, civil engineering, electrical engineering, nu nuclear engineering material clear science science, etc. Finally, we discuss the critical issues and challenges that must be faced in the development of a viable and sustainable VU program in support of modeling nuclear energy systems.

Klein, R; Turinsky, P

2009-05-07T23:59:59.000Z

416

Incorporating uncertainty in vehicle miles traveled projections of the National Energy Modeling System.  

E-Print Network (OSTI)

??The National Energy Modeling System (NEMS) is a computational model that forecasts the production, consumption, and prices of energy in the United States. Although NEMS (more)

Poetting, David Michael

2011-01-01T23:59:59.000Z

417

Influence of two dynamic predictive clothing insulation models on building energy performance  

E-Print Network (OSTI)

Clothing Insulation Models on Building Energy Use, HVACClothing Insulation Models on Building Energy Performance K.insulation variation should be captured during the building

Lee, Kwang Ho; Schiavon, Stefano

2013-01-01T23:59:59.000Z

418

Low Energy Probes of Physics Beyond the Standard Model  

E-Print Network (OSTI)

Low-energy tests of fundamental symmetries and studies of neutrino properties provide a powerful window on physics beyond the Standard Model (BSM). In this article, we provide a basic theoretical framework for a subsequent set of articles that review the progress and opportunities in various aspects of the low-energy program. We illustrate the physics reach of different low-energy probes in terms of an effective BSM mass scale and illustrate how this reach matches and, in some cases, even exceeds that accessible at the high energy frontier.

Cirigliano, Vincenzo

2013-01-01T23:59:59.000Z

419

ResPoNSe: modeling the wide variability of residential energy consumption.  

E-Print Network (OSTI)

affect appliance energy consumption. For example, differentStates, 2005 Residential Energy Consumption Survey: HousingModeling of End-Use Energy Consumption in the Residential

Peffer, Therese; Burke, William; Auslander, David

2010-01-01T23:59:59.000Z

420

Reconstruction of modified gravity with ghost dark energy models  

E-Print Network (OSTI)

In this work, we reconstruct the $f(R)$ modified gravity for different ghost and generalized ghost dark energy models in FRW flat universe, which describe the accelerated expansion of the universe. The equation of state of reconstructed $f(R)$ - gravity has been calculated. We show that the corresponding $f(R)$ gravity of ghost dark energy model can behave like phantom or quintessence. We also show that the equation of state of reconstructed $f(R)$ gravity for generalized ghost model can transit from quintessence regime to the phantom regime as indicated by recent observations.

Khodam-Mohammadi, A

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" 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

Gravity, energy conservation and parameter values in collapse models  

E-Print Network (OSTI)

We interpret the probability rule of the CSL collapse theory to mean that the scalar field which causes collapse is the grvitational curvature scalar with two sources, the expectation value of the mass density and a white noise fluctuating source. We examine two models of the fluctuating source, monopole fluctuations and dipole fluctuations, and show that these correspond to two well known collapse models. We relate the two GRW parameters of CSL to fundamental constants, and explain the energy increase as arising from the loss of vacuum gravitational energy. It is shown how a problem with semi-classical grvity may be cured when it is combined with a CSL collapse model.

Philip Pearle; Euan Squires

1995-03-27T23:59:59.000Z

422

Conformal Higgs model of dark energy  

E-Print Network (OSTI)

Postulating conformal Weyl scaling symmetry for all fundamental fields affects both gravitational and electroweak theory. A conformal Higgs scalar field determines a modified Friedmann cosmic evolution equation. Tachyonic mass parameter $w^2$ becomes a cosmological constant in this equation. An integrated solution fits consensus Hubble expansion data within empirical error. The time derivative of gravitational Ricci scalar $R$ couples scalar and gauge fields. This determines $w^2$ while retaining the Higgs mechanism for gauge boson masses. A simplified calculation obtains dark energy Friedmann weight in order-of-magnitude agreement with its empirical value. The theory predicts variaetion of the Higgs scalar field on a cosmological time scale.

R. K. Nesbet

2010-04-28T23:59:59.000Z

423

90.1 Prototype Building Models Outpatient Healthcare | Building Energy  

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

Outpatient Healthcare Outpatient Healthcare The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

424

Enforcing elemental mass and energy balances for reduced order models  

Science Conference Proceedings (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

425

Dark Energy Models and Laws of Thermodynamics in Bianchi I Model  

E-Print Network (OSTI)

This paper is devoted to check validity of the laws of thermodynamics for LRS Bianchi type I universe model which is filled with combination of dark matter and dark energy. We take two types of dark energy models, i.e., generalized holographic dark energy and generalized Ricci dark energy. It is proved that the first and generalized second law of thermodynamics are valid on the apparent horizon for both the models. Further, we take fixed radius $L$ of the apparent horizon with original holographic or Ricci dark energy. We conclude that the first and generalized second laws of thermodynamics do not hold on the horizon of fixed radius $L$ for both the models.

Sharif, M

2013-01-01T23:59:59.000Z

426

Dark Energy Models and Laws of Thermodynamics in Bianchi I Model  

E-Print Network (OSTI)

This paper is devoted to check validity of the laws of thermodynamics for LRS Bianchi type I universe model which is filled with combination of dark matter and dark energy. We take two types of dark energy models, i.e., generalized holographic dark energy and generalized Ricci dark energy. It is proved that the first and generalized second law of thermodynamics are valid on the apparent horizon for both the models. Further, we take fixed radius $L$ of the apparent horizon with original holographic or Ricci dark energy. We conclude that the first and generalized second laws of thermodynamics do not hold on the horizon of fixed radius $L$ for both the models.

M. Sharif; Rabia Saleem

2013-02-20T23:59:59.000Z

427

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

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The National Energy Modeling System: An Overview 2003 Electricity Market Module Figure 9. Electricity Market Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Figure 10. Electricity Market Module Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. Electricity Market Module Table. Need help, contact the National Energy Information Center at 202-586-8800. Central-Station Generating Technologies. Need help, contact the National Energy Information Center at 202-586-8800. 2002 Overnight Capital Costs (including Contingencies), 2002 Heat Rates, and Online Year by Technology for the AEO2003 Reference Case Table. Need help, contact the National Energy Information Center at 202-586-8800.

428

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

Gasoline and Diesel Fuel Update (EIA)

COMMERCIAL DEMAND MODULE COMMERCIAL DEMAND MODULE blueball.gif (205 bytes) Floorspace Submodule blueball.gif (205 bytes) Energy Service Demand Submodule blueball.gif (205 bytes) Equipment Choice Submodule blueball.gif (205 bytes) Energy Consumption Submodule The commercial demand module (CDM) forecasts energy consumption by Census division for eight marketed energy sources plus solar thermal energy. For the three major commercial sector fuels, electricity, natural gas and distillate oil, the CDM is a "structural" model and its forecasts are built up from projections of the commercial floorspace stock and of the energy-consuming equipment contained therein. For the remaining five marketed "minor fuels," simple econometric projections are made. The commercial sector encompasses business establishments that are not

429

Evaluation of tools for renewable energy policy analysis: The renewable energy penetration model  

Science Conference Proceedings (OSTI)

The Energy Policy Act of 1992 establishes a program to support development of renewable energy technologies including a production incentive to public power utilities. Because there is a wide range of possible policy actions that could be taken to increase electric market share for renewables, modeling tools are needed to help make informed decisions regarding future policy. Previous energy modeling tools did not contain the regional or infrastructure focus necessary to examine renewable technologies. As a result, the Department of Energy Office of Utility Technologies (OUT) supported the development of tools for renewable energy policy analysis. Three models were developed: The Renewable Energy Penetration (REP) model, which is a spreadsheet model for determining first-order estimates of policy effects for each of the ten federal regions; the Ten Federal Region Model (TFRM), which employs utility capacity expansion and dispatching decisions; and the Regional Electric Policy Analysis Model (REPAM) which was constructed to allow detailed insight into interactions between policy and technology within an individual region. In 1993, the OUT supported the Oak Ridge Institute of Science and Education (ORISE) to form an expert panel to provide an independent review of the REP model and TFRM. This report contains the panel`s evaluation of the REP model; the TFRM is evaluated in a companion report. The panel did not review the REPAM. The panel met for a second time in January 1994 to discuss model simulations and deliberate regarding evaluation outcomes. This report is largely a result of this second meeting. The remainder of this chapter provides a description of the REP model and summarizes the panel`s findings. Individual chapters examine various aspects of the model: demand and load, capacity expansion, dispatching and production costing, reliability, renewables, storage, transmission, financial and regulatory concerns, and environmental effects.

Engle, J.

1994-04-01T23:59:59.000Z

430

Model documentation renewable fuels module of the National Energy Modeling System  

Science Conference Proceedings (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

431

Model for Analysis of Energy Demand (MAED-2) | Open Energy Information  

Open Energy Info (EERE)

Website http:www-pub.iaea.orgMTCDp References MAED 21 "MAED model evaluates future energy demand based on medium- to long-term scenarios of socio-economic,...

432

Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software  

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

Advanced Modeling and Simulation (NEAMS) Software Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements The purpose of the NEAMS Software V&V Plan is to define what the NEAMS program expects in terms of V&V for the computational models that are developed under NEAMS. NEAMS Software Verification and Validation Plan Requirements Version 0.pdf More Documents & Publications NEAMS Quarterly Report for January-March 2013 Nuclear Energy Advanced Modeling and Simulation (NEAMS) Program Plan CRAD, Assessment Criteria and Guidelines for Determining the Adequacy of Software Used in the Safety Analysis and Design of Defense Nuclear Facilities

433

ENV-Linkages-KEI Model | Open Energy Information  

Open Energy Info (EERE)

ENV-Linkages-KEI Model ENV-Linkages-KEI Model Jump to: navigation, search Tool Summary Name: ENV-Linkages-KEI Model Agency/Company /Organization: Korea Environment Institute (KEI) Sector: Climate, Energy Complexity/Ease of Use: Moderate Related Tools Healthcare Energy Impact Calculator Global Atmospheric Pollution Forum Air Pollutant Emission Inventory Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS A recursive dynamic computable general equilibrium model covering 34 sectors and 13 regions. It projects CO2 emissions from feedstock use in petrochemical industry. Approach The model assesses the impacts of Korean and international greenhouse gas mitigation policies on the Korean economy. When to Use This Tool

434

Integrated Global System Modeling Framework | Open Energy Information  

Open Energy Info (EERE)

Integrated Global System Modeling Framework Integrated Global System Modeling Framework 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: Integrated Global System Modeling Framework Agency/Company /Organization: MIT Joint Program on the Science and Policy of Global Change Sector: Climate, Energy Focus Area: Renewable Energy Phase: Determine Baseline, Evaluate Options Topics: - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Not Available Website: globalchange.mit.edu/research/IGSM Cost: Free Related Tools Transport Co-benefits Calculator General Equilibrium Modeling Package (GEMPACK)

435

Strategies for Energy Efficient Resource Management of Hybrid Programming Models  

Science Conference Proceedings (OSTI)

Many scientific applications are programmed using hybrid programming models that use both message-passing and shared-memory, due to the increasing prevalence of large-scale systems with multicore, multisocket nodes. Previous work has shown that energy efficiency can be improved using software-controlled execution schemes that consider both the programming model and the power-aware execution capabilities of the system. However, such approaches have focused on identifying optimal resource utilization for one programming model, either shared-memory or message-passing, in isolation. The potential solution space, thus the challenge, increases substantially when optimizing hybrid models since the possible resource configurations increase exponentially. Nonetheless, with the accelerating adoption of hybrid programming models, we increasingly need improved energy efficiency in hybrid parallel applications on large-scale systems. In this work, we present new software-controlled execution schemes that consider the effects of dynamic concurrency throttling (DCT) and dynamic voltage and frequency scaling (DVFS) in the context of hybrid programming models. Specifically, we present predictive models and novel algorithms based on statistical analysis that anticipate application power and time requirements under different concurrency and frequency configurations. We apply our models and methods to the NPB MZ benchmarks and selected applications from the ASC Sequoia codes. Overall, we achieve substantial energy savings (8.74% on average and up to 13.8%) with some performance gain (up to 7.5%) or negligible performance loss.

Li, Dong [ORNL; Supinski, Bronis de [Lawrence Livermore National Laboratory (LLNL); Schulz, Martin [Lawrence Livermore National Laboratory (LLNL); Nikolopoulos, Dimitrios S [Virginia Polytechnic Institute and State University; Cameron, Kirk W. [Virginia Polytechnic Institute and State University

2013-01-01T23:59:59.000Z

436

Model documentation report: Commercial Sector Demand Module of the National Energy Modeling System  

SciTech Connect

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. This report serves three purposes. First, it is a reference document providing a detailed description 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 statistical and forecast reports (Public Law 93-275, section 57(b)(1)). 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.

NONE

1995-02-01T23:59:59.000Z

437

Comparative review of the Time-stepped Energy System Optimization Model (TESOM) and the IEA Market Allocation Model (MARKAL)  

SciTech Connect

The two principal energy system models used in the National Center for Analysis of Energy Systems at Brookhaven National Laboratory are described and their important differences are contrasted.

Kydes, A.S.

1980-04-01T23:59:59.000Z

438

Franz Bakery: Model for Sustainability | Department of Energy  

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

Franz Bakery: Model for Sustainability Franz Bakery: Model for Sustainability Franz Bakery: Model for Sustainability April 23, 2010 - 11:05am Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE "Bread has never tasted so sustainable" is not just another pithy marketing slogan to make Franz Bakery seem green. The 104-year-old company earned the rights to the promotional phrase-and has the baked goods to back it up. During the last five years, the largest family-owned bakery on the West Coast has incorporated scads of environmentally-friendly practices-from water efficiency to wind energy to waste reduction-into its six locations throughout the Northwest. At the top of that list is the flagship facility in Portland, Ore., which earned the company an energy champion award from

439

SEMATECH: A Model for Advancing Solar Technology | Department of Energy  

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

SEMATECH: A Model for Advancing Solar Technology SEMATECH: A Model for Advancing Solar Technology SEMATECH: A Model for Advancing Solar Technology May 24, 2011 - 11:22am Addthis SEMATECH brings 14 companies together to help them share and collaborate in their most expensive and difficult manufacturing development projects. Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs One of the hardest parts for start-up companies producing an emerging technology is the cost to test and develop more efficient manufacturing processes -- and to win the clean energy race, energy technologies not only need to be invented in America, but made in America too. That's why consortiums like SEMATECH in Albany, New York, are so important. Back in the '80s and '90s, SEMATECH breathed new life into the

440

Scenario Modelling: A Holistic Environmental and Energy Management  

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

Scenario Modelling: A Holistic Environmental and Energy Management Scenario Modelling: A Holistic Environmental and Energy Management Technique for Building Managers Speaker(s): James O'Donnell Date: September 30, 2010 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Vladimir Bazjanac At the operational level of organisations, building managers most commonly evaluate environmental and energy performance. They originate from a variety of technical and non-technical backgrounds with corresponding experiences, knowledge and skill sets. The profile of building managers as established in this work accounts for this diverse variation. Building performance data and information that is typically available for the established profile of building managers is insufficient for optimum operation. This presentaion presents the scenario modelling technique

Note: This page contains sample records for the topic "nattional energy modeling" 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

Franz Bakery: Model for Sustainability | Department of Energy  

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

Franz Bakery: Model for Sustainability Franz Bakery: Model for Sustainability Franz Bakery: Model for Sustainability April 23, 2010 - 11:05am Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE "Bread has never tasted so sustainable" is not just another pithy marketing slogan to make Franz Bakery seem green. The 104-year-old company earned the rights to the promotional phrase-and has the baked goods to back it up. During the last five years, the largest family-owned bakery on the West Coast has incorporated scads of environmentally-friendly practices-from water efficiency to wind energy to waste reduction-into its six locations throughout the Northwest. At the top of that list is the flagship facility in Portland, Ore., which earned the company an energy champion award from

442

Property:Buildings/ModelTargetType | Open Energy Information  

Open Energy Info (EERE)

ModelTargetType ModelTargetType Jump to: navigation, search This is a property of type String. The allowed values for this property are: ASHRAE 90.1 2007 ASHRAE 90.1 2004 ASHRAE 189.1 LEED Pages using the property "Buildings/ModelTargetType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago High Plug Load Baseline + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Miami High Plug Load Baseline + ASHRAE 90.1 2004 +

443

Low Carbon Development: Planning & Modelling Course | Open Energy  

Open Energy Info (EERE)

Low Carbon Development: Planning & Modelling Course Low Carbon Development: Planning & Modelling Course Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Low Carbon Development: Planning & Modelling Course Agency/Company /Organization: World Bank Sector: Climate Focus Area: Renewable Energy, Economic Development, People and Policy Topics: Low emission development planning, Pathways analysis, Resource assessment Resource Type: Training materials, Workshop Website: einstitute.worldbank.org/ei/course/low-carbon-development Cost: Paid References: Low Carbon Development: Planning & Modelling[1] Program Overview This course has the following modules - (i) Introduction to Low Carbon Development Planning; (ii) Overview for Policymakers; (iii) Power; (iv) Household; (v) Transport - which introduce you to climate change

444

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report details EPRI's continued efforts to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among the barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study refines and expands the marginal CO2 intensities of en...

2009-12-22T23:59:59.000Z

445

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report describes an effort to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among the barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study establishes a proof-of-concept for quantifying marginal CO2 intensi...

2008-12-23T23:59:59.000Z

446

MIT Emissions Prediction and Policy Analysis (EPPA) Model | Open Energy  

Open Energy Info (EERE)

MIT Emissions Prediction and Policy Analysis (EPPA) Model MIT Emissions Prediction and Policy Analysis (EPPA) Model 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: MIT Emissions Prediction and Policy Analysis (EPPA) Model Agency/Company /Organization: Massachusetts Institute of Technology (MIT) Topics: Analysis Tools Complexity/Ease of Use: Not Available Website: dspace.mit.edu/handle/1721.1/29790 Cost: Free Related Tools IGES GHG Calculator For Solid Waste Energy and Power Evaluation Program (ENPEP) Regional Economic Models, Inc. (REMI) Model ... further results The part of the MIT Integrated Global Systems Model (IGSM) that represents human systems; a recursive-dynamic multi-regional general equilibrium model

447

Global Trade and Analysis Project (GTAP) Model | Open Energy Information  

Open Energy Info (EERE)

Global Trade and Analysis Project (GTAP) Model Global Trade and Analysis Project (GTAP) Model 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: Global Trade Analysis Project (GTAP) Model Agency/Company /Organization: Purdue University Sector: Climate, Energy Topics: Baseline projection, - Macroeconomic, Market analysis, Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Moderate Website: www.gtap.agecon.purdue.edu/models/current.asp Cost: Free References: GTAP[1] Related Tools IGES GHG Calculator For Solid Waste ICCT Roadmap Model Applied Dynamic Analysis of the Global Economy (ADAGE) Model

448

A model of a varying Ghost Dark energy  

E-Print Network (OSTI)

Motivated by recent developments in Cosmology we would like to assume a possibility of the existence of varying Ghost Dark energy. Ghost Dark energy like other models was introduced recently as a model of dark energy. As accepted in general, in GR dark energy is a possible way to explain accelerated expansion of the Universe reported from different experimental data. From the beginning we would like to stress the fact, that proposed modifications are based on our believe and probably for this reason there is not a well establish physical theory behind the models. Concerning to the origin of varying Ghost dark energy, we can assume an existence of some interaction (and unknown physics behind it), between Ghost Dark energy and a fluid and last component during interaction evaporated completely making sense of the proposed effect. Moreover, we can assume that this was in epochs and scales which are unreachable by nowadays experiments. The same assumptions could be accepted or proposed for the interaction terms.

Martiros Khurshudyan; Amalya Khurshudyan

2013-07-30T23:59:59.000Z

449

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

SciTech Connect

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document providing a detailed description for energy analysts, other 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 statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

NONE

1995-03-01T23:59:59.000Z

450

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

Science Conference Proceedings (OSTI)

This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document that provides a detailed description for energy analysts, other 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 statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.

NONE

1997-01-01T23:59:59.000Z

451

Short-Term Energy Outlook Model Documentation: Motor Gasoline Consumption Model  

Reports and Publications (EIA)

The motor gasoline consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of total U.S. consumption of motor gasolien based on estimates of vehicle miles traveled and average vehicle fuel economy.

Tancred Lidderdale

2011-11-30T23:59:59.000Z

452

Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model  

Reports and Publications (EIA)

The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

453

Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model  

Reports and Publications (EIA)

The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

454

Energy conserving Anisotropic Anhysteretic Magnetic Modelling for Finite Element Analysis  

E-Print Network (OSTI)

To model ferromagnetic material in finite element analysis a correct description of the constitutive relationship (BH-law) must be found from measured data. This article proposes to use the energy density function as a centrepiece. Using this function, which turns out to be a convex function of the flux density, guarantees energy conservative modelling. The magnetic field strength can be seen as a derivative with respect to the flux density. Especially for anisotropic materials (from lamination and/or grain orientation) this method has advantages. Strictly speaking this method is only valid for anhysteretic and thermodynamically stable material.

Jens Krause

2012-12-20T23:59:59.000Z

455

Thermodynamical picture of the interacting holographic dark energy model  

E-Print Network (OSTI)

In the present paper, we provide a thermodynamical interpretation for the holographic dark energy model in a non-flat universe. For this case, the characteristic length is no more the radius of the event horizon ($R_E$) but the event horizon radius as measured from the sphere of the horizon ($L$). Furthermore, when interaction between the dark components of the holographic dark energy model in the non-flat universe is present its thermodynamical interpretation changes by a stable thermal fluctuation. A relation between the interaction term of the dark components and this thermal fluctuation is obtained.

M R Setare

2009-02-24T23:59:59.000Z

456

Nuclear Hybrid Energy System Modeling: RELAP5 Dynamic Coupling Capabilities  

SciTech Connect

The nuclear hybrid energy systems (NHES) research team is currently developing a dynamic simulation of an integrated hybrid energy system. A detailed simulation of proposed NHES architectures will allow initial computational demonstration of a tightly coupled NHES to identify key reactor subsystem requirements, identify candidate reactor technologies for a hybrid system, and identify key challenges to operation of the coupled system. This work will provide a baseline for later coupling of design-specific reactor models through industry collaboration. The modeling capability addressed in this report focuses on the reactor subsystem simulation.

Piyush Sabharwall; Nolan Anderson; Haihua Zhao; Shannon Bragg-Sitton; George Mesina

2012-09-01T23:59:59.000Z

457

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,

458

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.

459

Unified Dark Energy-Dark Matter model with Inverse Quintessence  

E-Print Network (OSTI)

We consider a model where both dark energy and dark matter originate from the coupling of a scalar field with a non-conventional kinetic term to, both, a metric measure and a non-metric measure. An interacting dark energy/dark matter scenario can be obtained by introducing an additional scalar that can produce non constant vacuum energy and associated variations in dark matter. The phenomenology is most interesting when the kinetic term of the additional scalar field is ghost-type, since in this case the dark energy vanishes in the early universe and then grows with time. This constitutes an "inverse quintessence scenario", where the universe starts from a zero vacuum energy density state, instead of approaching it in the future.

Stefano Ansoldi; Eduardo I. Guendelman

2012-09-21T23:59:59.000Z

460

Energy modeling applications for analysis of policy options-an overview  

Science Conference Proceedings (OSTI)

The paper reviews the complex relationships of the elements of a national energy system and the integrated energy planning approach that can be inevitably implemented through computer based modeling tools. General format of an IEP model and its main ... Keywords: energy models, integrated energy planning, modeling

Mukhtar H. Sahir; Arshad H. Qureshi

2006-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "nattional energy modeling" from the National Library of EnergyBeta (NLEBeta).
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461

Model documentation Coal Market Module of the National Energy Modeling System  

SciTech Connect

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.

1996-04-30T23:59:59.000Z

462

Global Trade and Environmental Model (GTEM) | Open Energy Information  

Open Energy Info (EERE)

Global Trade and Environmental Model (GTEM) Global Trade and Environmental Model (GTEM) 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: Global Trade and Environmental Model (GTEM) Agency/Company /Organization: Australia Department of Agriculture, Fisheries, and Forestry (ABARES) Sector: Climate, Energy Topics: Analysis Tools Complexity/Ease of Use: Moderate Website: www.daff.gov.au/abares/publications_remote_content/publication_topics/ Related Tools Environmental Benefits Mapping and Analysis Program (BenMAP) Intertemporal Computable Equilibrium System (ICES) Ventana's Energy, Environment, Economy-Society (E3S) Model ... further results Captures the impact of policy changes on large numbers of economic

463

Property:Buildings/ModelBuildingType | Open Energy Information  

Open Energy Info (EERE)

Buildings/ModelBuildingType Buildings/ModelBuildingType Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Model. Education Food Sales Food Service Health Care (Inpatient) Health Care (Outpatient) Lodging Mercantile (Retail Other Than Mall) Mercantile (Enclosed and Strip Malls) Office Public Assembly Public Order and Safety Religious Worship Service Warehouse and Storage Other Vacant Pages using the property "Buildings/ModelBuildingType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + Mercantile (Retail Other Than Mall) + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Mercantile (Retail Other Than Mall) + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + Mercantile (Retail Other Than Mall) +

464

Modeling of high energy laser ignition of energetic materials  

SciTech Connect

We present a model for simulating high energy laser heating and ignition of confined energetic materials. The model considers the effect of irradiating a steel plate with long laser pulses and continuous lasers of several kilowatts and the thermal response of well-characterized high explosives for ignition. Since there is enough time for the thermal wave to propagate into the target and to create a region of hot spot in the high explosives, electron thermal diffusion of ultrashort (femto- and picosecond) lasing is ignored; instead, heat diffusion of absorbed laser energy in the solid target is modeled with thermal decomposition kinetic models of high explosives. Numerically simulated pulsed-laser heating of solid target and thermal explosion of cyclotrimethylenetrinitramine, triaminotrinitrobenzene, and octahydrotetranitrotetrazine are compared to experimental results. The experimental and numerical results are in good agreement.

Lee, Kyung-cheol; Kim, Ki-hong; Yoh, Jack J. [School of Mechanical and Aerospace Engineering, Seoul National University, Seoul, 151-742 (Korea, Republic of)

2008-04-15T23:59:59.000Z

465

Urban Form Energy Use and Emissions in China: Preliminary Findings and Model Proof of Concept  

E-Print Network (OSTI)

models forecast,鈥 Energy Policy 36, no. 5 (May 2008):policy implications,鈥 Energy Policy 37, no. 11 (Novemberoutput LCA model,鈥 Energy Policy, In Press, Corrected

Aden, Nathaniel

2011-01-01T23:59:59.000Z

466

Heating and Kinetic Energy Dissipation in the NCAR Community Atmosphere Model  

Science Conference Proceedings (OSTI)

Conservation of energy and the incorporation of parameterized heating in an atmospheric model are discussed. Energy conservation is used to unify the treatment of heating and kinetic energy dissipation within the Community Atmosphere Model, ...

Byron A. Boville; Christopher S. Bretherton

2003-12-01T23:59:59.000Z

467

Emissions and Energy: An Integral Approach Using an Online Energy Management and Optimization Model  

E-Print Network (OSTI)

With the expected legislation on the horizon in the U.S., the cost of CO2 emissions will have significant impact on industrial plant operations in the near future. Our purpose in this presentation is to show real industrial examples in which, with the existing equipment, continuous CO2 emissions reductions were achieved while, at the same time, optimizing the energy systems using an online model. We will show the importance of including the cost of CO2 emissions and how they should properly be taken into account when managing energy systems. Furthermore, we will illustrate how an optimization model is used for evaluating case studies to suggest the most cost effective energy system modifications while taking into account CO2 emissions costs. Several examples and results corresponding to the application of such systems to refineries will be discussed. In addition, the integration of CO2 emission costs and constraints into the online energy system models and their optimization is also explained.

Ruiz, D.; Ruiz, C.; Santollani, O.; Reitmeier, T.

2010-01-01T23:59:59.000Z

468

TEPP Model Needs Assessment Document | Department of Energy  

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

Model Needs Assessment Document Model Needs Assessment Document TEPP Model Needs Assessment Document The purpose of this Model Needs Assessment is to assist state, tribal, or local officials in determining emergency responder readiness for response to a transportation accident involving radioactive material. This Model Needs Assessment was developed by the Department of Energy's Transportation Emergency Preparedness Program (TEPP) as a planning and assessment tool for state, tribal, or local government officials. To implement this Model Needs Assessment, a designated official from the jurisdiction will conduct a self-assessment by answering various questions. By doing so, the official will determine strengths and identify improvement areas. To support the assessment process, and any proposed recommendations for improvement, this document includes

469

Effective Dark Energy Models and Dark Energy Models with Bounce in frames of $F(T)$ Gravity  

E-Print Network (OSTI)

Various cosmological models in frames of $F(T)$ gravity are considered. The general scheme of constructing effective dark energy models with various evolution is presented. It is showed that these models in principle are compatible with $\\Lambda$CDM model. The dynamics of universe governed by $F(T)$ gravity can mimics $\\Lambda$CDM evolution in past but declines from it in a future. We also construct some dark energy models with the "real" (non-effective) equation-of-state parameter $w$ such that $w\\leq-1$. It is showed that in $F(T)$ gravity the Universe filled phantom field not necessarily ends its existence in singularity. There are two possible mechanisms permitting the final singularity. Firstly due to the nonlinear dependence between energy density and $H^{2}$ ($H$ is the Hubble parameter) the universe can expands not so fast as in the general relativity and in fact Little Rip regime take place instead Big Rip. We also considered the models with possible bounce in future. In these models the universe expansion can mimics the dynamics with future singularity but due to bounce in future universe begin contracts.

Artyom V. Astashenok

2013-08-02T23:59:59.000Z

470

A model of accelerating dark energy in decelerating gravity  

E-Print Network (OSTI)

The expansion of the Universe is accelerated as testified by observations of SNeIa at varying redshifts. Explanations of this acceleration are of two kinds: modifications of Einstein gravity or new forms of energy. An example of modified gravity is the braneworld Dvali-Gabadadze-Porrati (DGP) model, an example of dark energy is Chaplygin gas. Both are characterized by a cross-over length scale $r_c$ which marks the transition between physics occurring on our four-dimensional brane, and in a five-dimensional bulk space. Assuming that the scales $r_c$ in the two models are the same, we study Chaplygin gas dark energy in flat DGP geometries. The self-accelerating branch does not give a viable model, it causes too much acceleration. We derive the Hubble function and the luminosity distance for the self-decelerating branch, and then fit a compilation of 192 SNeIa magnitudes and redshifts in the space of the three parameters of the model. Our model with the self-decelerating branch fits the supernova data as successfully as does the $\\Lambda CDM$ model, and with only one additional parameter. In contrast to the $\\Lambda CDM$ model, this model needs no fine-tuning, and it can explain the coincidence problem. It is unique in the sense that it cannot be reduced to a cosmological constant model in any other limit of the parameter space than in the distant future. If later tests with other cosmological data are successful, we have here a first indication that we live in a five-dimensional braneworld.

M. Roos

2007-07-07T23:59:59.000Z

471

Energy Consumption Models and Predictions for Large-Scale Systems  

Science Conference Proceedings (OSTI)

Responsible, efficient and well-planned power consumption is becoming a necessity for monetary returns and scalability of computing infrastructures. While there are numerous sources from which power data can be obtained, analyzing this data is an intrinsically ... Keywords: Energy model, Grid'5000, distrbuted systems

Taghrid Samak, Christine Morin, David Bailey

2013-05-01T23:59:59.000Z

472

The Parameterization of Longwave Flux in Energy Balance Climate Models  

Science Conference Proceedings (OSTI)

Many climate models of the energy balance type parameterize the zonally-averaged infrared flux at the top of the atmosphere in terms of the surface (or sea level) temperature T and cloud cover n in the form I = A + BT ? (C + DT)nMost recent ...

Ian Simmonds; Cher Chidzey

1982-10-01T23:59:59.000Z

473

Models of the Prompt and High Energy Emission of GRB  

SciTech Connect

Gamma-ray bursts have been detected at photon energies up to tens of GeV. We review some recent developments in the X-ray to GeV photon phenomenology in the light of Swift and Fermi observations, and some of the theoretical models developed to explain them.

Meszaros, Peter; Toma, Kenji; Wu Xuefeng; He Haoning [Center for Particle Astrophysics, Dept. of Astronomy and Astrophysics and Dept. of Physics, Pennsylvania State University, University Park, PA 16802 (United States)

2010-10-15T23:59:59.000Z

474

Modeling Windows in Energy Plus with Simple Performance Indices  

Science Conference Proceedings (OSTI)

The building energy simulation program, Energy Plus (E+), cannot use standard window performance indices (U, SHGC, VT) to model window energy impacts. Rather, E+ uses more accurate methods which require a physical description of the window. E+ needs to be able to accept U and SHGC indices as window descriptors because, often, these are all that is known about a window and because building codes, standards, and voluntary programs are developed using these terms. This paper outlines a procedure, developed for E+, which will allow it to use standard window performance indices to model window energy impacts. In this 'Block' model, a given U, SHGC, VT are mapped to the properties of a fictitious 'layer' in E+. For thermal conductance calculations, the 'Block' functions as a single solid layer. For solar optical calculations, the model begins by defining a solar transmittance (Ts) at normal incidence based on the SHGC. For properties at non-normal incidence angles, the 'Block' takes on the angular properties of multiple glazing layers; the number and type of layers defined by the U and SHGC. While this procedure is specific to E+, parts of it may have applicability to other window/building simulation programs.

Arasteh, Dariush; Kohler, Christian; Griffith, Brent

2009-10-12T23:59:59.000Z

475

Integrating Module of the National Energy Modeling System 2007, Model Documentation  

Reports and Publications (EIA)

Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.

Dan Skelly

2007-05-23T23:59:59.000Z

476