2 edition of ORNL engineering-economic model of residential energy use found in the catalog.
ORNL engineering-economic model of residential energy use
by Dept. of Energy, [Office of Energy Technology], Oak Ridge National Laboratory, for sale by the National Technical Information Service] in Oak Ridge, Tenn, [Springfield, Va
Written in English
|Statement||Eric Hirst, Janet Carney.|
|Series||ORNL/CON ; 24|
|Contributions||Carney, Janet., Oak Ridge National Laboratory., Oak Ridge National Laboratory. Energy Division.|
|The Physical Object|
|Pagination||v, 79 p. :|
|Number of Pages||79|
Oak Ridge National Laboratory. [email protected]; April 3, Development of advanced HVAC/WH system options for efficient residential or small commercial buildings, new const. or retrofit * ET R&D project in support of DOE/BTO Goal of 50%. Reduction in Building Energy Use by US HVAC system OEM. IHP concept – all HVAC &. "An Evaluation of the ORNL Residential Energy Use Model," EPRI REPORT EA, Electronic Research Institute: Palo Alto, June "The NIECS Data Base and Its Use in Residential Energy Demand Modeling," with T. Cowing and J. Dubin, Discussion Paper No. MIT-ELWP, MIT Energy Laboratory, June
The ORNL residential energy use model was developed to simulate energy use in the residential sector from through The model provides considerable detail on annual energy uses by fuel Author: Sulayman Al-Qudsi. ORNL/CON Oak Ridge, Tenn.: Oak Ridge National Laboratory. b Energy Savings Due to the Bonneville Power Administration Residential Weatherization Pilot - Program Two Years After Participation. ORNL/CON Oak Ridge, Tenn.: Oak Ridge National Laboratory.
A comprehensive engineering-economic computer model used to simulate energy use in the residential sector from to is described. The purpose of the model is to provide an analytical tool with which to evaluate a variety of conservation policies, technologies, and strategies for their impacts on residential energy use and fuel. ORNL is managed by UT-Battelle for the US Department of Energy High Efficiency, Residential Gas-Fired Adsorption Heat Pump Water Heater Development Moonis Ally Oak Ridge National Laboratory Hot Water Forum Water Heating, Distribution, and Use Efficiency American Council for an Energy‐Efficient Economy (ACEEE) Portland, OR.
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ORNL engineering-economic model of residential energy use. Oak Ridge, Tenn.: Dept. of Energy [Office of Energy Technology], Oak Ridge National Laboratory ; [Springfield, Va.]: [For sale by the National Technical Information Service], (OCoLC) Material Type: Government publication, National government publication: Document Type: Book.
residential energy use ornl engineering-economic model third party theunited statesgovernment united state government legal liability agency thereof Powered by: About CiteSeerX.
The ORNL Engineering-Economic Model of Residential Energy Use. By L I Eric Hirst, express or implied, nor assumes any legal liability or responsibility for any third party's use or the results of such use of any information, apparatus, product or process disclosed in this report, nor represents that its use by such third party would.
For a description of one version of the ORNL (Hirst) Residential Model see Eric Hirst and Janet Carney, “The ORNL Engineering-Economic Model of Residential Energy Use,” ORNL/CON (July ), Oak Ridge National Laboratory, Oak Ridge, astonmartingo.com: Terry H.
Morlan. Improved engineering-economic model of residential energy use: Authors: Hirst, E.; Cope, J.; An improved version of the ORNL residential energy use model was developed to simulate energy use in the residential sector from through The model provides considerable detail on annaul energy uses by fuel, end use, and housing type; and.
teal toolvith vbich to evaluate a varie~ of energy astonmartingo.comea. and technolo&tcsl astonmartingo.com vith respect to their astonmartingo.com on reaiden-tial energy uae and capenditur~a over ttae.
The model, as presently constructed, deals vith energy uae at the national level for four fuels*. A model of residential energy use was developed to simulate the period from to The model predicts annual energy use by fuel, end use, and type of housing, and also estimates annual equipment installations and ownership, equipment energy re quirements, structural heat retention, fuel expendi tures, equipment costs, and costs for improving heat retention in new and existing housing astonmartingo.com by: Abstract This paper reviews an Engineering/Economic Residential Energy End Use Model, and raises some questions about the value of large-scale simulation models in forecasting or policy analysis.1 Keywords and phrases: forecasting, policy analysis, simulation models, energy end use models 'This paper is bases in part on the results of a project to assess the model, funded by the Office of.
This report describes a comprehensive engineering-economic computer model used to simulate energy use in the residential sector from to The purpose of the model is to provide an analytical tool with which to evaluate a variety of conservation policies, technologies, and strategies for their impacts on residential energy use and fuel expenditures over time.
Using @ENERGY supercomputers, @ORNL is working with @DeptVetAffairs to improve predictive models, delivering an unprecedented speedup that may profoundly affect the VA’s ability to identify at-risk #veterans and help prevent veteran suicide.
A detailed computer model is developed to calculate energy flows and electricity uses for residential refrigerators.
The model is used to evaluate the energy and associated initial cost impacts of alternative designs to reduce refrigerator energy astonmartingo.com by: 2. Final comparisons showed a potential 10% savings in cooling energy and a 13% savings in heating energy.
In a field investigation on thermal mass effect in residential buildings was performed by the NAHB Research Center (NAHB RC ). energy. consumption source sectors petroleum natural gas coal renewable nuclear electricity transportation industrial commercial residential: electric utilities Table Distribution of Transportation Energy Consumption by Source and Sector, xlsx: pdf: energy.
consumption source petroleum natural gas coal renewable: electricity Figure An engineering-economic model, when used to determine the impacts of three Federal programs on residential fuel consumption, indicates that most conservation efforts can save both energy.
The Oak Ridge National Laboratory (ORNL) residential energy use model is a complex system designed to simulate the impacts of alternative energy policies on the residential sector.
Its architecture represents a compromise between astonmartingo.com to analyze policies which are quite localized and heterogeneous in their impacts, such as mandatory insulation. Representing Nitrogen, Phosphorus, And Carbon Interactions In the E3sm Land Model: Development and Global Benchmarking Journal: Journal of Advances in Modeling Earth Systems.
Hirst, E. and J. Carney, "The ORNL Engineering-Economic Model of Residential Energy Use", ORNL/CON, Oak Ridge National Laboratory, Oak Ridge, July Google Scholar Cited by: 4.
Users of the Biomass Energy Data Book are encouraged to comment on errors, omissions, emphases, and organization of this report to one of the persons listed below. Information on an existing table should be referred to Ms. Stacy Davis, Oak Ridge National Laboratory.
The book examines three alternative energy policies and their possible impacts on the residential energy demand. The text describes models on energy use including general micro-simulation and micro-simulation as applied in ""Residential End-Use Energy Planning Systems"" (REEPS) and the Oak Ridge National Laboratory (ORNL) Residential Energy Consumption Model.
The ORNL Residential Reference House Energy Demand (RRHED) model is a computer-based engineering-economic end-use simulation model which forecasts energy demand and conservation policy impacts based upon a detailed evaluation of how households use energy for particular appliances9 The focus of the current study.
The book describes REEPS as a model providing end-use specific forecasts of energy consumption at the household level. The text describes ORNL as a computationally simpler design but conceptually more complex one. The book then evaluates three different policy scenarios using each of these two models.Get this from a library!
Selected comments on the ORNL residential energy-use model. [John H Herbert; United States. Energy Information Administration.
Office of Applied Analysis.; United States. Energy Information Administration. Office of Analysis Oversight and Access.].This chapter analyzes residential energy use sincegives energy use projections to the yearand discusses the potential for energy savings in the residential sector.
Aided by computer analysis of residential electricity and natural gas use sinceconsumer re- .