Optimizing Buildings’ Life Cycle Performance While Allowing Diversity in the Early Design Stage

Hanze Yu, Wei Yang, Qiyuan Li and Jie Li
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Hanze Yu: School of Architecture, Tianjin University, No. 92 Weijin Rd., Nankai District, Tianjin 300072, China
Wei Yang: School of Architecture, Tianjin University, No. 92 Weijin Rd., Nankai District, Tianjin 300072, China
Qiyuan Li: School of Architecture, Tianjin University, No. 92 Weijin Rd., Nankai District, Tianjin 300072, China
Jie Li: School of Architecture, Tianjin University, No. 92 Weijin Rd., Nankai District, Tianjin 300072, China

Sustainability, 2022, vol. 14, issue 14, 1-21

Abstract: The main considerations in the early stage of architectural design are usually related to form and function. At the same time, with the growing concern regarding energy saving and carbon emission reduction, the parameters for the construction and physical quality of buildings are receiving more attention at the conceptual and schematic design stages. Diverse design options can emerge with the large number of variables to be considered in these stages. Moreover, the combined efforts to reduce buildings’ life cycle environmental impacts and cost, as well as the non-linear and often tradeoff relationship between the two objectives, make finding optimal design solutions for buildings’ life cycle performance complicated. Previous studies have established workflows to optimize buildings’ life cycle energy consumption, GWP, and/or cost; however, architectural design diversity has not been sufficiently discussed at the same time. In this study, a parametric optimization design process is established, aiming at minimizing the building’s operational energy consumption, life cycle environmental impacts, and life cycle cost. The setting of variables, as well as the workflows of the optimization process, is discussed from the perspective of both life cycle performance and architectural design diversity. A small-scale exhibition hall in China’s cold climate zone is selected as a case study. To approach the best design process applicable to this case, the optimal solution sets from different workflows under different variable settings are compared. The results show that by setting geometric and material variables in different steps in the entire optimization process, the resulting solutions can be a balance of architectural design and performance. In this case study, optimizing all of the design variables in one-step turned out to provide the best balance between design diversity and life cycle performance in the early design stage.

Keywords: simulation-based multi-objective optimization; life cycle assessment; life cycle cost; design process; diversity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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