Building energy simulation and its application for building performance optimization : A review of methods, tools, and case studies
A2 Katsausartikkeli tieteellisessä aikakauslehdessä
Advances in Applied Energy, Volume 10
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.
Funding Information: This study is supported by the National Natural Science Foundation of China (Grant No. 51978481 ). Publisher Copyright: © 2023
Building performance simulation, Building-to-grid, Digital twin, Operational optimization, Performance-driven design
Pan , 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.2023.100135