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Optimization and performance assessment of solar-assisted combined cooling, heating and power system systems: Multi-objective gradient-based optimizer

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  • Li, Ling-Ling
  • Qu, Li-Nan
  • Tseng, Ming-Lang
  • Lim, Ming K.
  • Ren, Xin-Yu
  • Miao, Yan

Abstract

This study compares the performance of the optimal installation of solar-assisted combined cooling, heating, and power system (CCHP) running different strategies using the energy consumption information of hospital buildings as input to the model. In addition, a novel multi-objective gradient-based optimizer is developed to obtain CCHP configuration schemes under different strategies. A multi-objective optimum configuration model of solar-assisted CCHP, including solar thermal collector, photovoltaic system, microturbine, gas boiler, heat storage device, and battery, is constructed. In addition, two other strategies are obtained by adapting the basic operation strategy while renewable energy with a fossil fuel-based energy supply system achieves a significant reduction in the gas consumption and emission of pollutants. The optimization results prove that compared with other strategies, the solar-assisted CCHP system operating the following electric load with electric cooling ratio (FEL-ECR) strategy has a better economy, environmental protection, and energy saving. The corresponding carbon dioxide emission reduction rate, primary energy saving rate, and annual total cost saving rate of the system running the FEL-ECR strategy reach 53.27 %, 39.01 %, and 33.88 %.

Suggested Citation

  • Li, Ling-Ling & Qu, Li-Nan & Tseng, Ming-Lang & Lim, Ming K. & Ren, Xin-Yu & Miao, Yan, 2024. "Optimization and performance assessment of solar-assisted combined cooling, heating and power system systems: Multi-objective gradient-based optimizer," Energy, Elsevier, vol. 289(C).
    • Handle: RePEc:eee:energy:v:289:y:2024:i:c:s036054422303178x
    DOI: 10.1016/j.energy.2023.129784
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    References listed on IDEAS

    as
    1. Dai, Yiru & Zeng, Yipu, 2022. "Optimization of CCHP integrated with multiple load, replenished energy, and hybrid storage in different operation modes," Energy, Elsevier, vol. 260(C).
    2. Ren, Fukang & Lin, Xiaozhen & Wei, Ziqing & Zhai, Xiaoqiang & Yang, Jianrong, 2022. "A novel planning method for design and dispatch of hybrid energy systems," Applied Energy, Elsevier, vol. 321(C).
    3. Chang, Jinwei & Li, Zhi & Huang, Yan & Yu, Xiaonan & Jiang, Ruicheng & Huang, Rui & Yu, Xiaoli, 2022. "Multi-objective optimization of a novel combined cooling, dehumidification and power system using improved M-PSO algorithm," Energy, Elsevier, vol. 239(PE).
    4. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2021. "Assessing the influence of legal constraints on the integration of renewable energy technologies in polygeneration systems for buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    5. Alkasmoul, Fahad & Asaker, Mohammed & Widuch, Aleksander & Malicki, Marcin & Zwierzchowski, Ryszard & Wołowicz, Marcin, 2023. "Multigeneration source based on novel triple-component chiller configuration co-supplied with renewable and fossil energy operated in Arabic Peninsula conditions," Energy, Elsevier, vol. 263(PC).
    6. Yuan, Yu & Bai, Zhang & Zhou, Shengdong & Zheng, Bo & Hu, Wenxin, 2022. "Potential of applying the thermochemical recuperation in combined cooling, heating and power generation: Flexible demand response characteristics," Applied Energy, Elsevier, vol. 325(C).
    7. Deng, Yan & Liu, Yicai & Zeng, Rong & Wang, Qianxu & Li, Zheng & Zhang, Yu & Liang, Heng, 2021. "A novel operation strategy based on black hole algorithm to optimize combined cooling, heating, and power-ground source heat pump system," Energy, Elsevier, vol. 229(C).
    8. Chen, Yuzhu & Hu, Xiaojian & Xu, Wentao & Xu, Qiliang & Wang, Jun & Lund, Peter D., 2022. "Multi-objective optimization of a solar-driven trigeneration system considering power-to-heat storage and carbon tax," Energy, Elsevier, vol. 250(C).
    9. Zhang, Dong & Zhang, Rui & Zhang, Bin & Zheng, Yu & An, Zhoujian, 2023. "Environment dominated evaluation modeling and collocation optimization of a distributed energy system based on solar and biomass energy," Renewable Energy, Elsevier, vol. 202(C), pages 1226-1240.
    10. Jie, Pengfei & Zhao, Wanyue & Yan, Fuchun & Man, Xiaoxin & Liu, Chunhua, 2022. "Economic, energetic and environmental optimization of hybrid biomass gasification-based combined cooling, heating and power system based on an improved operating strategy," Energy, Elsevier, vol. 240(C).
    11. Yang, Xiaohui & Liu, Kang & Leng, Zhengyang & Liu, Tao & Zhang, Liufang & Mei, Linghao, 2022. "Multi-dimensions analysis of solar hybrid CCHP systems with redundant design," Energy, Elsevier, vol. 253(C).
    12. Li, Xiaozhu & Wang, Weiqing & Wang, Haiyun, 2021. "A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in Western China," Energy, Elsevier, vol. 228(C).
    13. Song, Zhihui & Liu, Tao & Lin, Qizhao, 2020. "Multi-objective optimization of a solar hybrid CCHP system based on different operation modes," Energy, Elsevier, vol. 206(C).
    14. Rajabi Hamedani, Sara & Villarini, Mauro & Marcantonio, Vera & di Matteo, Umberto & Monarca, Danilo & Colantoni, Andrea, 2023. "Comparative energy and environmental analysis of different small-scale biomass-fueled CCHP systems," Energy, Elsevier, vol. 263(PD).
    15. Xie, Nan & Xiao, Zhenyu & Du, Wei & Deng, Chengwei & Liu, Zhiqiang & Yang, Sheng, 2023. "Thermodynamic and exergoeconomic analysis of a proton exchange membrane fuel cell/absorption chiller CCHP system based on biomass gasification," Energy, Elsevier, vol. 262(PB).
    16. Wang, Jiangjiang & Cui, Zhiheng & Yao, Wenqi & Huo, Shuojie, 2023. "Regulation strategies and thermodynamic analysis of combined cooling, heating, and power system integrated with biomass gasification and solid oxide fuel cell," Energy, Elsevier, vol. 266(C).
    17. Zhao, Xin & Zheng, Wenyu & Hou, Zhihua & Chen, Heng & Xu, Gang & Liu, Wenyi & Chen, Honggang, 2022. "Economic dispatch of multi-energy system considering seasonal variation based on hybrid operation strategy," Energy, Elsevier, vol. 238(PA).
    18. Ghorbani, Sobhan & Deymi-Dashtebayaz, Mahdi & Dadpour, Daryoush & Delpisheh, Mostafa, 2023. "Parametric study and optimization of a novel geothermal-driven combined cooling, heating, and power (CCHP) system," Energy, Elsevier, vol. 263(PF).
    19. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
    20. Chen, W.D. & Chua, K.J., 2022. "A novel and optimized operation strategy map for CCHP systems considering optimal thermal energy utilization," Energy, Elsevier, vol. 259(C).
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