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    Multi-objective optimisations of envelope components for a prefabricated house in six climate zones

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    Author
    Naji, S; Aye, L; Noguchi, M
    Date
    2021-01-15
    Source Title
    Applied Energy
    Publisher
    Elsevier
    University of Melbourne Author/s
    Aye, Lu; Noguchi, Masayoshi
    Affiliation
    Infrastructure Engineering
    Architecture, Building and Planning
    Metadata
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    Document Type
    Journal Article
    Citations
    Naji, S., Aye, L. & Noguchi, M. (2021). Multi-objective optimisations of envelope components for a prefabricated house in six climate zones. Applied Energy, 282, https://doi.org/10.1016/j.apenergy.2020.116012.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/252830
    DOI
    10.1016/j.apenergy.2020.116012
    ARC Grant code
    ARC/IC150100023
    Abstract
    The ever-increasing attention towards implementation of environmentally sustainable buildings necessitates the predictions of energy consumption and indoor environmental quality (IEQ) during early design stages. Prefabrication of buildings changes the construction process and components which affects building performance. Better understanding the effects of envelope components on energy performance and IEQ will inform design decisions leading to the creation of more sustainable buildings. In this article multi-objective optimisations of building envelope were carried out by coupling TRNSYS (Transient System Simulation Tool) and jEPlus + EA (EnergyPlus simulation manager for parametrics + Evolutionary Algorithms). The objective functions to be minimised were thermal discomfort hours (TDH), daylight unsatisfied hours (DUH) and life cycle costs (LCC) while maintaining acceptable sound transmission levels and indoor air quality. The decision variables were envelope components of a prefabricated house. Applications for six different climate zones corresponding to eight locations in Australia were investigated. The optimal solution sets were unique for each climate zone. The optimal solutions achieved 27–31% savings in LCC compared to the baseline. The reductions for TDH varied from 6% to 55% among the locations. As a result of trade-offs, the selected compromised solutions in each climate could achieve better reductions for either TDH, LCC or both.

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