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Optimal design of a novel hybrid renewable energy CCHP system considering long and short-term benefits

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  • Ma, Zherui
  • Dong, Fuxiang
  • Wang, Jiangjiang
  • Zhou, Yuan
  • Feng, Yingsong

Abstract

The combination of biomass and solar energy in the combined cooling heating and power (CCHP) system is conducive to reducing carbon dioxide emissions of the system. To improve the system's economic performance under the punishment of carbon tax, this paper optimizes the system from system design and operation strategies. A hybrid renewable energy CCHP system with shaft power distribution structure of an internal combustion engine (ICE) is proposed. By optimizing the shaft power distribution of ICE, the direct drive heat pump is realized, and the efficiency of the shaft power of ICE is improved. A double-layer optimization method considering the long and short-term benefits is proposed based on the system, fully improving the system economy in design and operation. The case study shows that the CCHP system reduces the annual cost by 40.37% and the CO2 emission by 88.93% compared with the separate production system. Compared with the non-shaft power distribution system, the maximum daily operation cost is saved by 557.11CNY. Compared with the hourly optimization method, the proposed optimization method based on total daily benefit reduces the annual cost by 7.73% and CO2 emission by 35.87%, and the utilization rate of the energy storage device is higher.

Suggested Citation

  • Ma, Zherui & Dong, Fuxiang & Wang, Jiangjiang & Zhou, Yuan & Feng, Yingsong, 2023. "Optimal design of a novel hybrid renewable energy CCHP system considering long and short-term benefits," Renewable Energy, Elsevier, vol. 206(C), pages 72-85.
    • Handle: RePEc:eee:renene:v:206:y:2023:i:c:p:72-85
    DOI: 10.1016/j.renene.2023.02.014
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    6. Ai, Tianchao & Chen, Hongwei & Zhong, Fanghao & Jia, Jiandong & Song, Yangfan, 2023. "Multi-objective optimization of a novel CCHP system with organic flash cycle based on different operating strategies," Energy, Elsevier, vol. 276(C).
    7. Ren, Xin-Yu & Wang, Zhi-Hua & Li, Ming-Chen & Li, Ling-Ling, 2025. "Optimization and performance analysis of integrated energy systems considering hybrid electro-thermal energy storage," Energy, Elsevier, vol. 314(C).
    8. Zhao, Xiangming & Guo, Jianxiang & He, Maogang, 2023. "Multi-objective optimization and improvement of multi-energy combined cooling, heating and power system based on system simplification," Renewable Energy, Elsevier, vol. 217(C).
    9. Cai, Shanshan & Wang, Wenli & Zou, Yuqi & Li, Song & Tu, Zhengkai, 2023. "Performance and sustainability assessment of PEMFC/solar-driven CCP systems with different energy storage devices," Energy, Elsevier, vol. 278(PB).
    10. Salahinezhad, Mohammad & Tahami, Hamed & Kamali, Seyedeh Elham & Saedpanah, Ehsan, 2025. "Trade-off analysis for optimal design of trigeneration energy systems integrated with solar and hydrogen subsystems: A novel optimization strategy," Renewable Energy, Elsevier, vol. 240(C).
    11. Arthur Dupuy & Adalia Andreea Percembli (Chelmuș) & Lavinia Grosu & Khanh-Hung Tran & Alexandru Dobrovicescu, 2025. "Trigeneration Systems: A State-of-the-Art Review," Energies, MDPI, vol. 18(10), pages 1-32, May.
    12. Dong, Fuxiang & Wang, Jiangjiang & Xu, Hangwei & Zhang, Xutao, 2024. "A robust real-time energy scheduling strategy of integrated energy system based on multi-step interval prediction of uncertainties," Energy, Elsevier, vol. 300(C).
    13. Zhao, Xiangming & Liu, Yuan & He, Maogang & Guo, Jianxiang, 2025. "Comprehensive optimization of combined cooling, heating, and power hybrid renewable multienergy system based on enhanced implementation feasibility," Renewable Energy, Elsevier, vol. 245(C).
    14. Zhu, Xiaoxuan & Wang, Peng & Zhang, Hui & Wang, Shiqiang & Xv, Shuaiquan & Liu, Hailong & Zhang, Yihua & Zhao, Dong & Han, Jitian, 2024. "A highly efficient, low-carbon CCHP system and its comprehensive optimization for an integrated medical and nursing complex," Renewable Energy, Elsevier, vol. 227(C).
    15. Lv, Chunwang & Wang, Weichao & Ding, Liuyi & Zhou, Weixing & Ma, Zherui & Jia, Jiandong, 2025. "Local data augmentation of biomass gasification performance prediction based on improved generative adversarial network," Energy, Elsevier, vol. 330(C).
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    17. Yin, Zhiqiang & Yang, Jinyu & Feng, Yingsong & Ma, Zherui & Wang, Jiangjiang & Liu, Qibin, 2025. "Thermodynamics analysis of a biomass co-gasification based combined cooling, heating and power system," Renewable Energy, Elsevier, vol. 248(C).

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