Sensitivity Analysis and Optimization of Energy-Saving Measures for Office Building in Hot Summer and Cold Winter Regions

Peisong Xuanyuan, Yijie Zhang, Jian Yao () and Rongyue Zheng ()
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Peisong Xuanyuan: Department of Civil Engineering, Ningbo University, Ningbo 315211, China
Yijie Zhang: Department of Civil Engineering, Ningbo University, Ningbo 315211, China
Jian Yao: Department of Architecture, Ningbo University, Ningbo 315211, China
Rongyue Zheng: Department of Civil Engineering, Ningbo University, Ningbo 315211, China

Energies, 2024, vol. 17, issue 7, 1-29

Abstract: To effectively reduce building energy consumption and enhance indoor thermal comfort, this study developed a sensitivity analysis and multi-objective optimization method for an office building in Hangzhou considering the effects of parameter interactions. We utilized Latin hypercube sampling (LHS) to sample the parameters and subsequently simulated the energy consumption and discomfort hours for the building’s four orientations. Following this, Gaussian process regression models were established, and the feature importance ranking method (FIRM) alongside an interaction effects method were employed to quantify the sensitivity of 10 parameters. Lastly, a multi-objective optimization was performed for total energy consumption and discomfort hours, yielding a set of Pareto-optimal solutions. Through the VIKOR method, the optimal solution within the Pareto set was identified, resulting in three sets of optimal solutions.

Keywords: office building; sensitivity analysis; energy consumption; interaction effects; hot summer and cold winter region (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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