Title: An optimisation method for energy efficiency of residential buildings in cold regions based on genetic algorithm

Authors: Dongmei Zhao; Gaoxian Li; Yifan Wu

Addresses: Academic Affairs Office, Luohe Vocational Technology College, Luohe, Henan, China ' Department of Engineering Management, Xinjiang University, Urumqi, Xinjiang, China ' Department of Urban and Rural Planning, Anyang Institute of Technology, Anyang, Henan, China

Abstract: Owing to the high-energy consumption of residential buildings in cold regions, a genetic algorithm-based optimisation method for energy efficiency of residential buildings in cold regions is proposed. Firstly, identify the factors that affect the energy efficiency of residential buildings in cold regions and calculate the energy consumption of buildings. Then, select energy-saving parameters for residential building orientation, exterior wall thickness and window to wall ratio, and use these parameters as optimisation indicators. Finally, the energy-saving parameters are encoded to generate an initial population, and the optimised energy-saving parameter operators are selected, crossed and mutated. A building energy-saving optimisation algorithm based on genetic algorithm is designed to achieve optimisation research. The test results show that the proposed method can effectively reduce energy consumption of buildings in cold regions, and the wall to window ratio has a better shading coefficient.

Keywords: genetic algorithm; cold regions; optimisation of building energy efficiency; building orientation; outer wall thickness; window to wall ratio; sunshade coefficient.

DOI: 10.1504/IJGEI.2025.145980

International Journal of Global Energy Issues, 2025 Vol.47 No.3, pp.322 - 335

Received: 25 May 2023
Accepted: 09 Nov 2023
Published online: 01 May 2025 *

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