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An Effective Operation Strategy for CCHP System Integrated with Photovoltaic/Thermal Panels and Thermal Energy Storage

Author

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  • Yunshou Mao

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Jiekang Wu

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Wenjie Zhang

    (Huizhou Power Supply Bureau, Guangdong Power Grid Corporation, Huizhou 516000, China)

Abstract

The combined cooling, heating and power (CCHP) system is a promising energy-efficient technology to realize energy cascade utilization. With the integration of photovoltaic/thermal panels and thermal energy storage, the comprehensive performance of the system can be further improved. However, the performance is also affected by the operation strategy. This paper proposes an effective operation strategy to deal with the energy flow of the system well to achieve a better performance. The mathematical model of a CCHP system hybridized with photovoltaic/thermal panels and thermal energy storage is established in this paper. The optimal size of key components of the CCHP system is determined by the particle swarm optimization (PSO) algorithm. Case studies of four scenarios of a residential zone in Beijing are conducted to verify the effectiveness of the system structure and efficiency of the proposed method. The results show that by adding photovoltaic/thermal (PV/T) panels and thermal energy storage, the economic and energetic benefits can be effectively improved and the proposed operation strategy is effective.

Suggested Citation

  • Yunshou Mao & Jiekang Wu & Wenjie Zhang, 2020. "An Effective Operation Strategy for CCHP System Integrated with Photovoltaic/Thermal Panels and Thermal Energy Storage," Energies, MDPI, vol. 13(23), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6418-:d:457007
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    References listed on IDEAS

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    1. Liu, Mingxi & Shi, Yang & Fang, Fang, 2014. "Combined cooling, heating and power systems: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 1-22.
    2. Tao Zhang & Minli Wang & Peihong Wang & Junyu Liang, 2020. "Optimal Design of a Combined Cooling, Heating, and Power System and Its Ability to Adapt to Uncertainty," Energies, MDPI, vol. 13(14), pages 1-17, July.
    3. Lingmin, Chen & Jiekang, Wu & Fan, Wu & Huiling, Tang & Changjie, Li & Yan, Xiong, 2020. "Energy flow optimization method for multi-energy system oriented to combined cooling, heating and power," Energy, Elsevier, vol. 211(C).
    4. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    5. Su, Bosheng & Han, Wei & Qu, Wanjun & Liu, Changchun & Jin, Hongguang, 2018. "A new hybrid photovoltaic/thermal and liquid desiccant system for trigeneration application," Applied Energy, Elsevier, vol. 226(C), pages 808-818.
    6. Wegener, Moritz & Malmquist, Anders & Isalgué, Antonio & Martin, Andrew, 2018. "Biomass-fired combined cooling, heating and power for small scale applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 392-410.
    7. Yang, Hongming & Xiong, Tonglin & Qiu, Jing & Qiu, Duo & Dong, Zhao Yang, 2016. "Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response," Applied Energy, Elsevier, vol. 167(C), pages 353-365.
    8. 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.
    9. Li, Longxi & Yu, Shiwei & Mu, Hailin & Li, Huanan, 2018. "Optimization and evaluation of CCHP systems considering incentive policies under different operation strategies," Energy, Elsevier, vol. 162(C), pages 825-840.
    10. Herrando, María & Pantaleo, Antonio M. & Wang, Kai & Markides, Christos N., 2019. "Solar combined cooling, heating and power systems based on hybrid PVT, PV or solar-thermal collectors for building applications," Renewable Energy, Elsevier, vol. 143(C), pages 637-647.
    11. Yang, G. & Zhai, X.Q., 2019. "Optimal design and performance analysis of solar hybrid CCHP system considering influence of building type and climate condition," Energy, Elsevier, vol. 174(C), pages 647-663.
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    Cited by:

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    2. Azim Doğuş Tuncer & Emine Yağız Gürbüz & Ali Keçebaş & Aleksandar G. Georgiev, 2023. "Experimental Evaluation of a Photovoltaic/Thermal Air Heater with Metal Mesh-Integrated Thermal Energy Storage System," Energies, MDPI, vol. 16(8), pages 1-19, April.
    3. Yan Xiong & Jiakun Fang, 2022. "Co-Operative Optimization Framework for Energy Management Considering CVaR Assessment and Game Theory," Energies, MDPI, vol. 15(24), pages 1-17, December.

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