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Article: Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model

TitleCalculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model
Authors
KeywordsBuilding-energy demand
Integrated assessment models
Uncertainty analysis
Issue Date2015
Citation
Energy, 2015, v. 90, p. 1682-1694 How to Cite?
AbstractIn this paper, an IAM (integrated assessment model) uses a newly-developed Monte Carlo analysis capability to analyze the impacts of more aggressive U.S. residential and commercial building-energy codes and equipment standards on energy consumption and energy service costs at the state level, explicitly recognizing uncertainty in technology effectiveness and cost, socioeconomics, presence or absence of carbon prices, and climate impacts on energy demand. The paper finds that aggressive building-energy codes and equipment standards are an effective, cost-saving way to reduce energy consumption in buildings and greenhouse gas emissions in U.S. states. This conclusion is robust to significant uncertainties in population, economic activity, climate, carbon prices, and technology performance and costs.
Persistent Identifierhttp://hdl.handle.net/10722/329393
ISSN
2023 Impact Factor: 9.0
2023 SCImago Journal Rankings: 2.110
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorScott, Michael J.-
dc.contributor.authorDaly, Don S.-
dc.contributor.authorHathaway, John E.-
dc.contributor.authorLansing, Carina S.-
dc.contributor.authorLiu, Ying-
dc.contributor.authorMcJeon, Haewon C.-
dc.contributor.authorMoss, Richard H.-
dc.contributor.authorPatel, Pralit L.-
dc.contributor.authorPeterson, Marty J.-
dc.contributor.authorRice, Jennie S.-
dc.contributor.authorZhou, Yuyu-
dc.date.accessioned2023-08-09T03:32:28Z-
dc.date.available2023-08-09T03:32:28Z-
dc.date.issued2015-
dc.identifier.citationEnergy, 2015, v. 90, p. 1682-1694-
dc.identifier.issn0360-5442-
dc.identifier.urihttp://hdl.handle.net/10722/329393-
dc.description.abstractIn this paper, an IAM (integrated assessment model) uses a newly-developed Monte Carlo analysis capability to analyze the impacts of more aggressive U.S. residential and commercial building-energy codes and equipment standards on energy consumption and energy service costs at the state level, explicitly recognizing uncertainty in technology effectiveness and cost, socioeconomics, presence or absence of carbon prices, and climate impacts on energy demand. The paper finds that aggressive building-energy codes and equipment standards are an effective, cost-saving way to reduce energy consumption in buildings and greenhouse gas emissions in U.S. states. This conclusion is robust to significant uncertainties in population, economic activity, climate, carbon prices, and technology performance and costs.-
dc.languageeng-
dc.relation.ispartofEnergy-
dc.subjectBuilding-energy demand-
dc.subjectIntegrated assessment models-
dc.subjectUncertainty analysis-
dc.titleCalculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.energy.2015.06.127-
dc.identifier.scopuseid_2-s2.0-84959323185-
dc.identifier.volume90-
dc.identifier.spage1682-
dc.identifier.epage1694-
dc.identifier.isiWOS:000364245300045-

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