住宅建筑室内环境质量(IEQ)验收模型的贝叶斯更新

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Intelligent Buildings International Pub Date : 2020-09-12 DOI:10.1080/17508975.2020.1803788
T. Tsang, K. Mui, L. Wong, W. Yu
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引用次数: 5

摘要

准确的室内环境质量(IEQ)模型对于设计和保持舒适的室内环境至关重要。由于环境质量模型的复杂性和环境质量反应的主观性,当新的信息出现时,需要对环境质量模型的主客观关系进行更新。在本研究中,提出了一种用于IEQ模型更新的贝叶斯方法,以系统地将新的主观IEQ对环境的反应与现有的信念联系起来。通过选定的目标样本量和可接受的误差,评估数据的统计显著性并将其纳入更新的IEQ模型。贝叶斯更新框架能够提高IEQ预测的准确性,在保持舒适的室内环境方面将成为管理决策的有用工具。
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Bayesian updates for indoor environmental quality (IEQ) acceptance model for residential buildings
ABSTRACT An accurate indoor environmental quality (IEQ) model is essential to design and maintain a comfortable indoor environment. Due to the complexity of IEQ modelling and subjective nature of IEQ responses, there is a need to update the subjective–objective relationship of IEQ model when new information is available. In this study, a Bayesian approach for IEQ model updating is proposed to systematically relate new subjective IEQ responses towards the environment to the existing beliefs. With a selected target sample size and an acceptable error, the statistical significance of data is evaluated and incorporated into the updated IEQ model. Bayesian updating framework is able to enhance the accuracy of IEQ prediction and shall be a useful tool for managerial decision-making in maintaining a comfortable indoor environment.
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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