Conference Paper

Proceedings of Building Simulation 2019: 16th Conference of IBPSA

Embedding Sensitivity Analysis into PSO for Building Energy Optimization

Dan Hou ¹, Wei Yan ², Gang Liu ¹, Zhen Han ^1
1 Tianjin University, China, People's Republic of
² Texas A&M University, United States of America

DOI: https://doi.org/10.26868/25222708.2019.210625
Abstract: Building energy optimization is highly desirable but complex in sustainable architectural design. Many studies adopt sensitivity analysis to screen the variables that have significant effects on building energy consumption, so that the solution space can be narrowed down. In that case, however, a large number of samples are used only to conduct global sensitivity analysis before optimization. In this study, an innovative building energy optimization approach is proposed, which allows the dynamic interaction between the optimization process and the sensitivity analysis. All the samples are shared by both operations to improve the optimization efficiency and effectiveness. This approach realizes a dynamic optimization process by reducing the number of variables, which enables the optimization process to evolve in conjunction with the design process. According to the result of a case study in this paper, a Particle Swarm Optimization (PSO) algorithm embedding sensitivity analysis can find the optimal solutions faster than the standard PSO.
Keywords: Building energy optimization, Sensitivity analysis, Dynamic optimization model, SRCC
Pages: 2918 - 2924
Paper: