Title: Research on an optimisation control method of large-scale buildings energy saving based on particle swarm optimisation

Authors: Xiaolong Wen

Addresses: College of Civil Engineering, Hunan City University, Yiyang, Hunan, 413000, China

Abstract: Aiming at the problems of high energy consumption and low day-lighting coefficient in traditional building energy-saving control methods, an energy-saving optimisation control method for large-scale buildings based on particle swarm optimisation is proposed. Using Autodesk Revit in BIM modelling software the software constructs the large-scale building model, extracts the characteristics of large-scale building organisation information by SIFT method; uses multiple linear regression analysis method to obtain the large-scale building model wall, external window heat transfer coefficient and other parameters, completes the large-scale building operation state analysis; uses particle swarm optimisation algorithm to optimise the large-scale building energy-saving parameters, and obtains its objective function to obtain the large-scale construction Building the optimal energy consumption parameters to achieve large-scale building automation energy-saving control. The experimental results show that: after the energy-saving control of large-scale buildings, the day-lighting coefficient is higher.

Keywords: BIM technology; large-scale building; automation; energy saving control; multiple linear regression; particle swarm optimisation algorithm.

DOI: 10.1504/IJGEI.2022.10045357

International Journal of Global Energy Issues, 2022 Vol.44 No.2/3, pp.166 - 181

Received: 20 Sep 2020
Accepted: 18 Nov 2020

Published online: 10 Mar 2022 *

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