Building energy performance optimization: A new multi-objective particle swarm method

Abstract

Good energy performance of buildings can decrease energy consumption. The optimization of building energy performance is a typical multi-objective problem. The purpose of this paper is to propose a powerful and easy-to-use multi-objective optimization approach for building energy performance. In this work, an improved multi-objective particle swarm optimization algorithm with less control parameters is proposed and coupled with EnergyPlus building energy simulation software to improve the energy performance of buildings. Applied the proposed approach into a typical office building located at Beijing in China, and compared with three representational algorithms, experimental results show that the proposed approach is a very powerful and useful tool.