Research on multi-objective optimal sizing of multi-energy complementary energy system in the park

Lintao Zheng; Jing Wang; Jiongcong Chen; Zhiyuan Xie; Yulie Gong; Cantao Ye

doi:10.1117/12.2645487

23 November 2022 Research on multi-objective optimal sizing of multi-energy complementary energy system in the park

Lintao Zheng, Jing Wang, Jiongcong Chen, Zhiyuan Xie, Yulie Gong, Cantao Ye

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123024J (2022) https://doi.org/10.1117/12.2645487
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

Capacity allocation of the integrated energy system (IES) has a great impact on the system operation performance. To address this issue, optimal configuration of multi-energy complementary energy system, such as photovoltaic, wind turbine, ground source heat pump and energy storage system, with considerations of Life Cycle Initial Cost (LCIC), Life Cycle Carbon Emission (LCCE) and Utilization Ratio Of Renewable Energy (REPp) is conducted via the method of Multi-Objective Particle Swarm Optimization (MOPSO) for an office park. The results indicate the optimized model achieves higher REPp, smaller LCCE and lower payback period comparing with the original multi-energy complementary energy system, outstanding its advantages in carbon reduction, economic friendly and environmentally friendly by applying the optimization configuration.

Citation Download Citation

Lintao Zheng, Jing Wang, Jiongcong Chen, Zhiyuan Xie, Yulie Gong, and Cantao Ye "Research on multi-objective optimal sizing of multi-energy complementary energy system in the park", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123024J (23 November 2022); https://doi.org/10.1117/12.2645487

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