Journal
JOURNAL OF CLEANER PRODUCTION
Volume 237, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.117720
Keywords
Environmental quality; Performance assessment; Probabilistic modeling; Bayesian networks
Categories
Funding
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico, Brazil [233559/2014-0]
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Building performance is focused on maintaining and increasing sustainability while enhancing occupants' comfort levels. Occupants' comfort depends on uncertain, interrelated personal, social and building factors. However, the relationships between these factors are not covered by performance assessment tools based on linear analysis approaches. This study proposes a probabilistic model based on Bayesian networks (BNs) to assess the comfort performance of a building. An extensive review and evaluation of the causal factors of building performance, supported by the results of a satisfaction survey, are the basis for the BN model. Sensitivity analysis is used to verify the BN model, and the proposed approach is tested on an existing building. Findings from this research can guide decision-makers in the facility management industry to assess and understand causal factors of occupants' comfort to properly establish sustainable and cleaner production strategies. (C) 2019 Elsevier Ltd. All rights reserved.
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