Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/89558
Title: | Bayesian updates for indoor environmental quality (IEQ) acceptance model for residential buildings | Authors: | Tsang, TW Mui, KW Wong, LT Yu, W |
Issue Date: | 2021 | Source: | Intelligent buildings international, 2021, v. 13, no. 1, p. 17-32 | 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. | Publisher: | Earthscan Publications Ltd | Journal: | Intelligent buildings international | ISSN: | 1750-8975 | EISSN: | 1756-6932 | DOI: | 10.1080/17508975.2020.1803788 | Rights: | © 2020 Informa UK Limited, trading as Taylor & Francis Group This is an Accepted Manuscript of an article published by Taylor & Francis in Intelligent Buildings International on 12 Sep 2020 (Published online), available online: http://www.tandfonline.com/10.1080/17508975.2020.1803788 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
a0665-n03_IEQ_manuscript.pdf | Pre-Published version | 864.79 kB | Adobe PDF | View/Open |
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