Building energy simulation and its application for building performance optimization : A review of methods, tools, and case studies

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorPan, Yiqun
dc.contributor.authorZhu, Mingya
dc.contributor.authorLv, Yan
dc.contributor.authorYang, Yikun
dc.contributor.authorLiang, Yumin
dc.contributor.authorYin, Ruxin
dc.contributor.authorYang, Yiting
dc.contributor.authorJia, Xiaoyu
dc.contributor.authorWang, Xi
dc.contributor.authorZeng, Fei
dc.contributor.authorHuang, Seng
dc.contributor.authorHou, Danlin
dc.contributor.authorXu, Lei
dc.contributor.authorYin, Rongxin
dc.contributor.authorYuan, Xiaolei
dc.contributor.departmentTongji University
dc.contributor.departmentGD Midea Heating & Ventilating Equipment Co., Ltd.
dc.contributor.departmentOak Ridge National Laboratory
dc.contributor.departmentUniversity of Victoria BC
dc.contributor.departmentGeorgia Institute of Technology
dc.contributor.departmentLawrence Berkeley National Laboratory
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentDepartment of Mechanical Engineeringen
dc.date.accessioned2023-04-19T06:05:39Z
dc.date.available2023-04-19T06:05:39Z
dc.date.issued2023-06
dc.descriptionFunding Information: This study is supported by the National Natural Science Foundation of China (Grant No. 51978481 ). Publisher Copyright: © 2023
dc.description.abstractAs one of the most important and advanced technology for carbon-mitigation in the building sector, building performance simulation (BPS) has played an increasingly important role with the powerful support of building energy modelling (BEM) technology for energy-efficient designs, operations, and retrofitting of buildings. Owing to its deep integration of multi-disciplinary approaches, the researchers, as well as tool developers and practitioners, are facing opportunities and challenges during the application of BEM at multiple scales and stages, e.g., building/system/community levels and planning/design/operation stages. By reviewing recent studies, this paper aims to provide a clear picture of how BEM performs in solving different research questions on varied scales of building phase and spatial resolution, with a focus on the objectives and frameworks, modelling methods and tools, applicability and transferability. To guide future applications of BEM for performance-driven building energy management, we classified the current research trends and future research opportunities into five topics that span through different stages and levels: (1) Simulation for performance-driven design for new building and retrofit design, (2) Model-based operational performance optimization, (3) Integrated simulation using data measurements for digital twin, (4) Building simulation supporting urban energy planning, and (5) Modelling of building-to-grid interaction for demand response. Additionally, future research recommendations are discussed, covering potential applications of BEM through integration with occupancy and behaviour modelling, integration with machine learning, quantification of model uncertainties, and linking to building monitoring systems.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdf
dc.identifier.citationPan , Y , Zhu , M , Lv , Y , Yang , Y , Liang , Y , Yin , R , Yang , Y , Jia , X , Wang , X , Zeng , F , Huang , S , Hou , D , Xu , L , Yin , R & Yuan , X 2023 , ' Building energy simulation and its application for building performance optimization : A review of methods, tools, and case studies ' , Advances in Applied Energy , vol. 10 , 100135 . https://doi.org/10.1016/j.adapen.2023.100135en
dc.identifier.doi10.1016/j.adapen.2023.100135
dc.identifier.issn2666-7924
dc.identifier.otherPURE UUID: 3f8268de-0976-4913-9fda-b05169639818
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/3f8268de-0976-4913-9fda-b05169639818
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85152128894&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/106123650/1_s2.0_S2666792423000148_main.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/120454
dc.identifier.urnURN:NBN:fi:aalto-202304192770
dc.language.isoenen
dc.publisherElsevier Ltd
dc.relation.ispartofseriesAdvances in Applied Energyen
dc.relation.ispartofseriesVolume 10en
dc.rightsopenAccessen
dc.subject.keywordBuilding performance simulation
dc.subject.keywordBuilding-to-grid
dc.subject.keywordDigital twin
dc.subject.keywordOperational optimization
dc.subject.keywordPerformance-driven design
dc.titleBuilding energy simulation and its application for building performance optimization : A review of methods, tools, and case studiesen
dc.typeA2 Katsausartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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