Siirry päänavigointiin Siirry hakuun Siirry pääsisältöön

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

  • Yiqun Pan*
  • , Mingya Zhu
  • , Yan Lv
  • , Yikun Yang
  • , Yumin Liang
  • , Ruxin Yin
  • , Yiting Yang
  • , Xiaoyu Jia
  • , Xi Wang
  • , Fei Zeng
  • , Seng Huang
  • , Danlin Hou
  • , Lei Xu
  • , Rongxin Yin
  • , Xiaolei Yuan
  • *Tämän työn vastaava kirjoittaja
  • Tongji University
  • Oak Ridge Natl Lab, Oak Ridge National Laboratory, United States Department of Energy (DOE)
  • University of Victoria BC
  • Georgia Institute of Technology
  • Lawrence Berkeley National Laboratory
  • GD Midea Heating & Ventilating Equipment Co., Ltd.

Tutkimustuotos: LehtiartikkeliReview Articlevertaisarvioitu

350 Sitaatiot (Scopus)
524 Lataukset (Pure)

Abstrakti

As 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.

AlkuperäiskieliEnglanti
Artikkeli100135
JulkaisuAdvances in Applied Energy
Vuosikerta10
DOI - pysyväislinkit
TilaJulkaistu - kesäk. 2023
OKM-julkaisutyyppiA2 Katsausartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This study is supported by the National Natural Science Foundation of China (Grant No. 51978481 ).

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

  1. SDG 7 – Edullinen ja puhdas energia
    SDG 7 – Edullinen ja puhdas energia
  2. SDG 13 – Ilmastotoimet
    SDG 13 – Ilmastotoimet

Sormenjälki

Sukella tutkimusaiheisiin 'Building energy simulation and its application for building performance optimization : A review of methods, tools, and case studies'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä