An integrated simulation method for PVSS parametric design using multi-objective optimization

Qing Gao , Ying Yang , Qian Wang

Front. Archit. Res. ›› 2022, Vol. 11 ›› Issue (3) : 509 -526.

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Front. Archit. Res. ›› 2022, Vol. 11 ›› Issue (3) :509 -526. DOI: 10.1016/j.foar.2021.11.003
RESEARCH ARTICLE
RESEARCH ARTICLE

An integrated simulation method for PVSS parametric design using multi-objective optimization

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Abstract

An adequate strategy for achieving energy efficiency when designing a photovoltaic shading system (PVSS) shall find an equilibrium between sunlight heat gain and daylight transmittances through effective analysis tools in a building’s early design phases. However, traditional simulation methods are either time-consuming or lacking architectonical thinking. This paper proposes a new method for architects to integrate thermal and daylighting performance by using parametric script modelling and optimize their balance with multi-objective optimization (MOO) algorithm in PVSS design. A case study was conducted to demonstrate the workflow of proposed integrated simulation method in PVSS design, and further compared the results with that of three single-objective optimizations under the same design requirement. The findings show that the integrated framework is a feasible method for PVSS design and can be extended into the design of other advance shading system or building integrated photovoltaic.

Keywords

Integrated simulation / PV shading System / Parametric design / Multi-objective optimization / Thermal-daylighting balance

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Qing Gao, Ying Yang, Qian Wang. An integrated simulation method for PVSS parametric design using multi-objective optimization. Front. Archit. Res., 2022, 11(3): 509-526 DOI:10.1016/j.foar.2021.11.003

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2021 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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