Lifetime Energy Performance of Residential Buildings: A Sensitivity Analysis of Energy Modeling Parameters

dc.contributor.author Malekpour Koupaei, Diba
dc.contributor.author Malekpour Koupaei, Diba
dc.contributor.author Geraudin, Manon
dc.contributor.author Passe, Ulrike
dc.contributor.author Passe, Ulrike
dc.contributor.department Civil, Construction and Environmental Engineering
dc.contributor.department Architecture
dc.contributor.department Center for Building Energy Research (CBER)
dc.date 2020-07-03T01:39:08.000
dc.date.accessioned 2020-07-06T22:27:50Z
dc.date.available 2020-07-06T22:27:50Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2020
dc.date.embargo 2019-01-01
dc.date.issued 2020-01-01
dc.description.abstract <p>Traditional building energy simulation tools often assess performance as a function of the unique climate, physical characteristics, and operational parameters that define specific buildings and communities, planned or existing. This paper presents the results of a sensitivity analysis on the input parameters (relating to both the building and climate) that affect the annual energy consumption loads of an existing residential neighborhood in the U.S. Midwest over the anticipated service life of its buildings using the Urban Modeling Interface (umi). Accordingly, first, the effect of multiple building construction characteristic packages and inclusion of outdoor vegetation, are investigated under typical meteorological climate conditions. Afterwards, since typical climate conditions may not adequately describe the potential extreme conditions that will be encountered over the entire service life of these buildings, alternative weather datasets were also utilized in the sensitivity analysis. The study’s findings suggest that cooling loads are expected to increase dramatically over the next five decades, both due to changes in the climate and the more wide-spread use of airconditioning units. Since the results showed that trees can effectively reduce cooling loads by up to 7%, it is recommended that urban vegetation should be considered as an effective adaptation measure for facing the growing cooling demands.</p>
dc.description.comments <p>This proceeding is published as Malekpour Koupaei, Diba, Manon Geraudin, and Ulrike Passe. "Lifetime Energy Performance of Residential Buildings: A Sensitivity Analysis of Energy Modeling Parameters." In <em>2020 Proceedings of the Symposium on Simulation for Architecture and Urban Design</em>. (Edited by Angelos Chronis <em>et al</em>.) (2020): 585-591. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ccee_conf/116/
dc.identifier.articleid 1116
dc.identifier.contextkey 18346073
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ccee_conf/116
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/91505
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_conf/116/0-2020_MalekpourKoupaeiDiba_LifetimeEnergy_PermGrant.pdf|||Fri Jan 14 18:54:15 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_conf/116/2020_MalekpourKoupaeiDiba_LifetimeEnergy.pdf|||Fri Jan 14 18:54:16 UTC 2022
dc.subject.disciplines Civil and Environmental Engineering
dc.subject.disciplines Climate
dc.subject.disciplines Environmental Design
dc.subject.keywords Future typical meteorological year data
dc.subject.keywords building construction characteristics
dc.subject.keywords sensitivity analysis
dc.subject.keywords residential building energy consumption
dc.title Lifetime Energy Performance of Residential Buildings: A Sensitivity Analysis of Energy Modeling Parameters
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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