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

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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.

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111 pp.

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Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D. et al. September 1, 2009.

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Description

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.

Physical Description

111 pp.

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  • Report No.: NREL/TP-6A2-45656
  • Grant Number: AC36-99-GO10337
  • DOI: 10.2172/965118 | External Link
  • Office of Scientific & Technical Information Report Number: 965118
  • Archival Resource Key: ark:/67531/metadc929157

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  • September 1, 2009

Added to The UNT Digital Library

  • Nov. 13, 2016, 7:26 p.m.

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  • Dec. 1, 2016, 3:12 p.m.

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Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D. et al. 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, report, September 1, 2009; Golden, Colorado. (digital.library.unt.edu/ark:/67531/metadc929157/: accessed November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.