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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.

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  • 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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    as
    1. Ting, Chen-Ching & Lee, Jing-Nang & Shen, Chun-Hong, 2008. "Development of a wind forced chiller and its efficiency analysis," Applied Energy, Elsevier, vol. 85(12), pages 1190-1197, December.
    2. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    3. Wang, Jiangjiang & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Modeling and performance analysis of CCHP (combined cooling, heating and power) system based on co-firing of natural gas and biomass gasification gas," Energy, Elsevier, vol. 93(P1), pages 801-815.
    4. Situmorang, Yohanes Andre & Zhao, Zhongkai & Yoshida, Akihiro & Abudula, Abuliti & Guan, Guoqing, 2020. "Small-scale biomass gasification systems for power generation (<200 kW class): A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    5. Sheykhi, Mohammad & Chahartaghi, Mahmood & Safaei Pirooz, Amir Ali & Flay, Richard G.J., 2020. "Investigation of the effects of operating parameters of an internal combustion engine on the performance and fuel consumption of a CCHP system," Energy, Elsevier, vol. 211(C).
    6. Jarungthammachote, S. & Dutta, A., 2007. "Thermodynamic equilibrium model and second law analysis of a downdraft waste gasifier," Energy, Elsevier, vol. 32(9), pages 1660-1669.
    7. Uris, María & Linares, José Ignacio & Arenas, Eva, 2015. "Size optimization of a biomass-fired cogeneration plant CHP/CCHP (Combined heat and power/Combined heat, cooling and power) based on Organic Rankine Cycle for a district network in Spain," Energy, Elsevier, vol. 88(C), pages 935-945.
    8. Li, Yang & Feng, Bo & Li, Guoqing & Qi, Junjian & Zhao, Dongbo & Mu, Yunfei, 2018. "Optimal distributed generation planning in active distribution networks considering integration of energy storage," Applied Energy, Elsevier, vol. 210(C), pages 1073-1081.
    9. Wang, Jiangjiang & Ma, Chaofan & Wu, Jing, 2019. "Thermodynamic analysis of a combined cooling, heating and power system based on solar thermal biomass gasification☆," Applied Energy, Elsevier, vol. 247(C), pages 102-115.
    10. Wang, Yuwei & Tang, Liu & Yang, Yuanjuan & Sun, Wei & Zhao, Huiru, 2020. "A stochastic-robust coordinated optimization model for CCHP micro-grid considering multi-energy operation and power trading with electricity markets under uncertainties," Energy, Elsevier, vol. 198(C).
    11. Skorek-Osikowska, Anna & Bartela, Łukasz & Kotowicz, Janusz & Sobolewski, Aleksander & Iluk, Tomasz & Remiorz, Leszek, 2014. "The influence of the size of the CHP (combined heat and power) system integrated with a biomass fueled gas generator and piston engine on the thermodynamic and economic effectiveness of electricity an," Energy, Elsevier, vol. 67(C), pages 328-340.
    12. Zhang, Shenxi & Cheng, Haozhong & Wang, Dan & Zhang, Libo & Li, Furong & Yao, Liangzhong, 2018. "Distributed generation planning in active distribution network considering demand side management and network reconfiguration," Applied Energy, Elsevier, vol. 228(C), pages 1921-1936.
    13. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    14. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(C).
    15. Zhou, Yuan & Wang, Jiangjiang & Dong, Fuxiang & Qin, Yanbo & Ma, Zherui & Ma, Yanpeng & Li, Jianqiang, 2021. "Novel flexibility evaluation of hybrid combined cooling, heating and power system with an improved operation strategy," Applied Energy, Elsevier, vol. 300(C).
    16. Meriño Stand, L. & Valencia Ochoa, G. & Duarte Forero, J., 2021. "Energy and exergy assessment of a combined supercritical Brayton cycle-orc hybrid system using solar radiation and coconut shell biomass as energy source," Renewable Energy, Elsevier, vol. 175(C), pages 119-142.
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    1. Guan, Zhimin & Lu, Chunyan & Li, Yiming & Wang, Jiangjiang, 2023. "Chance-constrained optimization of hybrid solar combined cooling, heating and power system considering energetic, economic, environmental, and flexible performances," Renewable Energy, Elsevier, vol. 212(C), pages 908-920.
    2. 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).
    3. 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).

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