文献来源：
[1] Yong X. Tao, Yimin Zhu, Ulrike Passe, Modeling and data infrastructure for human-centric design and operation of sustainable, healthy buildings through a case study, Building and Environment, Volume 170, 2020, 106518, ISSN 0360-1323.
[2] Elie Azar, William O'Brien, Salvatore Carlucci, Tianzhen Hong, Andrew Sonta, Joyce Kim, Maedot S. Andargie, Tareq Abuimara, Mounir El Asmar, Rishee K. Jain, Mohamed M. Ouf, Farhang Tahmasebi, Jin Zhou,Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications, Energy and Buildings, Volume 224,2020,110292, ISSN 0378-7788.
文献摘要：
[1] This paper focuses on data infrastructure that is central to the modeling of design and operation of sustainable and healthy buildings. While reducing energy consumption by making buildings more energy efficient has been touted as an easily obtainable approach to promoting carbon-neutral energy societies, the sustainable buildings’ benefits and impacts on human wellbeing have not been clearly quantified to the extent that they may directly influence the decision of adopting sustainable building designs. The authors argue that focusing on the wellbeing of people occupying the buildings will lead to significant changes in the decision-making process of the design and operation of sustainable buildings. The authors propose a framework to define the type of data that can be measured or acquired and contributed to the design and operation of buildings for energy efficiency in relation to human wellbeing and social economic aspects. The framework can benefit building designers and operators for decision-making using wellbeing-centric life cycle assessment. The methodology presented in the paper is supported through a case study.
[2] Occupants are active participants in their built environment, affecting its performance while simultaneously being affected by its design and indoor environmental conditions. With recent advances in computer modeling, simulation tools, and analysis techniques, topics such as human-building interactions and occupant behavior have gained significant interest in the literature given their premise of improving building design processes and operating strategies. In practice, the focus of occupant-centric literature has been mostly geared towards the latter (i.e., operation), leaving the implications on building design practices underexplored. This paper fills the gap by providing a critical review of existing studies applying computer-based modeling and simulation to guide occupant-centric building design. The reviewed papers are organized along four main themes, namely occupant-centric: (i) metrics of building performance, (ii) modeling and simulation approaches, (iii) design methods and applications, and (iv) supporting practices and mechanisms. Important barriers are identified for a more effective application of occupant-centric building design practices, including the limited consideration of metrics beyond energy efficiency (e.g., occupant well-being and space planning), the limited implementation and validation of the proposed methods, and the lack of integration of occupant behavior modeling in existing building performance simulation tools. Future research directions are discussed, covering large-scale international data collection efforts to move from generic assumptions about occupant behavior to specific/localized knowledge, improved metrics of measuring building performance, and improved industry practices, such as building codes, to promote an occupant-in-the-loop approach to the building design process.
1 人因工程
2 人因与建筑环境
3 案例与总结
4 用户为中心的建筑设计
5 总结与展望
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