Modeling and data infrastructure for human-centric design and operation of sustainable, healthy buildings through a case study

Modeling and data infrastructure for human-centric design and operation of sustainable, healthy buildings through a case study
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DOI:
10.1016/j.buildenv.2019.106518
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发表时间:
2020-03
影响因子:
7.4
通讯作者:
Yong X. Tao;Yimin Zhu;U. Passe
Yong X. Tao;Yimin Zhu;U. Passe
中科院分区:
工程技术1区
文献类型:
--
作者:
Yong X. Tao;Yimin Zhu;U. Passe

文献摘要

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本文重点介绍对可持续健康建筑的设计和运营建模至关重要的数据基础设施。虽然通过提高建筑能效来降低能源消耗被吹捧为促进碳中性能源社会的一种容易获得的方法,但可持续建筑对人类福祉的好处和影响还没有得到明确的量化,以至于它们可能直接影响采用可持续建筑设计的决定。作者认为,关注居住在建筑中的人的福祉将导致可持续建筑设计和运营的决策过程发生重大变化。作者提出了一个框架,以定义可以测量或获取的数据类型,并有助于建筑的设计和运营,以提高与人类福祉和社会经济方面有关的能效。该框架可以帮助建筑设计者和操作员使用以福祉为中心的生命周期评估进行决策。本文提出的方法通过一个案例研究得到了支持。
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.