Title: Energy efficiency analysis and optimisation strategies for green building design based on gravitational search algorithm
Authors: Yaxi Gong; Yingyi Ma; Shanshan Cheng
Addresses: School of Architecture and Engineering, Jinling Institute of Technology, Nanjing, 211169, China ' School of Architecture and Engineering, Jinling Institute of Technology, Nanjing, 211169, China ' School of Environmental Science and Engineering, Tianping College of Suzhou University of Science and Technology, Suzhou, 215009, China
Abstract: As people's requirements for energy saving and emission reduction continue to increase, the issue of energy consumption in buildings has received more and more attention. How to efficiently optimise the energy consumption of green buildings has become an important research goal in the field of energy consumption analysis and architectural design. This study, aiming at the energy consumption problem in green buildings, designs a method based on gravitational search algorithm (GSA) to optimise energy consumption. First, sensor data of equipment in the building is collected. Then, a multi-objective optimisation model is constructed to ensure that the final goal is the lowest energy consumption without reducing comfort. The final experimental results show that the overall building energy use decreased by 33.8% because the GSA algorithm can effectively reduce the overall energy consumption of building equipment and meets the requirements for energy consumption optimisation in green buildings.
Keywords: green buildings; gravitational search algorithm; GSA; energy consumption analysis; multi-objective optimisation model.
DOI: 10.1504/IJICT.2025.150144
International Journal of Information and Communication Technology, 2025 Vol.26 No.42, pp.51 - 67
Received: 13 Aug 2025
Accepted: 02 Oct 2025
Published online: 01 Dec 2025 *


