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Multi-objective optimization and evaluation of hybrid CCHP systems for different building types

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  • Ren, Fukang
  • Wei, Ziqing
  • Zhai, Xiaoqiang

Abstract

The hybridization between renewable energy and fossil energy in energy supply system is a feasible solution to reduce the fossil energy consumption and CO2 emission. The hybrid CCHP systems that can include gas turbine (GT), absorption unit (ABS), ground source heat pump (GSHP), photovoltaic panels (PV), solar thermal collectors (ST), photovoltaic thermal solar collectors (PVT), battery, water storage tank (WST), are proposed in this study. Two different systems to use solar energy are evaluated: in system A, solar energy is converted into thermal and electric energy by ST and PV, respectively; while in system B, solar energy is converted into thermal and electric energy by PVT. The NSGA-II algorithm is employed to search the Pareto frontier solutions of the multi-objective optimization model that considers economy, energy and environment performances. The TOPSIS method is used as decision making tool for ideal configuration selection. The hybrid CCHP systems for three buildings (hotel, office, market) are optimized and compared under different operation strategies. The results reveal that the system A operating in following electric load (FEL) strategy achieves more benefits for three buildings. Besides, the system configuration and component size are closely related to the building type.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:215:y:2021:i:pa:s0360544220322039
    DOI: 10.1016/j.energy.2020.119096
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    References listed on IDEAS

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    1. Zheng, C.Y. & Wu, J.Y. & Zhai, X.Q., 2014. "A novel operation strategy for CCHP systems based on minimum distance," Applied Energy, Elsevier, vol. 128(C), pages 325-335.
    2. Romero Rodríguez, Laura & Salmerón Lissén, José Manuel & Sánchez Ramos, José & Rodríguez Jara, Enrique Ángel & Álvarez Domínguez, Servando, 2016. "Analysis of the economic feasibility and reduction of a building’s energy consumption and emissions when integrating hybrid solar thermal/PV/micro-CHP systems," Applied Energy, Elsevier, vol. 165(C), pages 828-838.
    3. Wang, Jiangjiang & Liu, Yi & Ren, Fukang & Lu, Shuaikang, 2020. "Multi-objective optimization and selection of hybrid combined cooling, heating and power systems considering operational flexibility," Energy, Elsevier, vol. 197(C).
    4. Wang, Jiangjiang & Yang, Ying, 2017. "A hybrid operating strategy of combined cooling, heating and power system for multiple demands considering domestic hot water preferentially: A case study," Energy, Elsevier, vol. 122(C), pages 444-457.
    5. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    6. Kang, Ligai & Yang, Junhong & An, Qingsong & Deng, Shuai & Zhao, Jun & Wang, Hui & Li, Zelin, 2017. "Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff," Applied Energy, Elsevier, vol. 194(C), pages 454-466.
    7. Ma, Weiwu & Fang, Song & Liu, Gang, 2017. "Hybrid optimization method and seasonal operation strategy for distributed energy system integrating CCHP, photovoltaic and ground source heat pump," Energy, Elsevier, vol. 141(C), pages 1439-1455.
    8. Muhsen, Dhiaa Halboot & Ghazali, Abu Bakar & Khatib, Tamer & Abed, Issa Ahmed & Natsheh, Emad M., 2016. "Sizing of a standalone photovoltaic water pumping system using a multi-objective evolutionary algorithm," Energy, Elsevier, vol. 109(C), pages 961-973.
    9. Nosrat, Amir & Pearce, Joshua M., 2011. "Dispatch strategy and model for hybrid photovoltaic and trigeneration power systems," Applied Energy, Elsevier, vol. 88(9), pages 3270-3276.
    10. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    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.
    12. Bahlawan, Hilal & Morini, Mirko & Pinelli, Michele & Poganietz, Witold-Roger & Spina, Pier Ruggero & Venturini, Mauro, 2019. "Optimization of a hybrid energy plant by integrating the cumulative energy demand," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    13. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems," Applied Energy, Elsevier, vol. 214(C), pages 219-238.
    14. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    15. Liu, Mingxi & Shi, Yang & Fang, Fang, 2012. "A new operation strategy for CCHP systems with hybrid chillers," Applied Energy, Elsevier, vol. 95(C), pages 164-173.
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