Multi-objective design and performance analysis of renewable energy cogeneration systems considering the effects of climatic conditions

Ying Du, Shohei Miyata, Yasunori Akashi

Proceedings of Building Simulation 2023: 18th Conference of IBPSA, pp.1626-1634, September 2023  

https://doi.org/10.26868/25222708.2023.1297

Abstract

In this study, a model of a combined cooling, heat, and power (CCHP) system that integrates solar energy and explores the impact of diverse climatic conditions on system performance. Accordingly,, a multi-objective optimization problem is formulated, and a multi-objective particle swarm optimization(MOPSO) algorithm was employed in conjunction with a decision-making approach to optimize the system. The economic performance and carbon emissions of the CCHP system were evaluated under different climatic conditions in China, providing insights and recommendations for designing building energy systems that cater to varying climate zones.