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Influence analysis of energy policies on comprehensive performance of CCHP system in different buildings

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  • Kang, Ligai
  • Wu, Xiaojing
  • Yuan, Xiaoxue
  • Ma, Kunru
  • Wang, Yongzhen
  • Zhao, Jun
  • An, Qingsong

Abstract

As an on-site energy supply system, combined cooling, heating and power (CCHP) system plays significant role. Thus, CCHP systems servicing four types of buildings were employed in this paper. Considering high initial investment and off-design operation, a multi-objective optimization model and a bi-level programming method integrated with operation and design were proposed. Nominal capacity configurations were optimized with no supportive policy. Then influence of capital subsidy and feed-in tariff policies to system comprehensive performance were illustrated. Results show that CCHP system servicing residential building could not achieve economic merits whatever energy policy was employed. CCHP system servicing hotel and hospital could realize better comprehensive performance than that of office. While the capacity of power generation unit was lower than 1.5 MW and capital subsidy was lower than 3000 ¥/kW, the capital subsidy policy had slight effect on system performance. For feed-in tariff policy, when feed-in tariff ratio (Esale/Egrid) was quite low, nearly no change on system performance would be obtained. And when the feed-in tariff ratio was relatively high, the energy and environment performance would decrease significantly. If feed-in tariff ratio was in a reasonable price range, this policy would have a positive effect on CCHP system with different building types.

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  • Kang, Ligai & Wu, Xiaojing & Yuan, Xiaoxue & Ma, Kunru & Wang, Yongzhen & Zhao, Jun & An, Qingsong, 2021. "Influence analysis of energy policies on comprehensive performance of CCHP system in different buildings," Energy, Elsevier, vol. 233(C).
  • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221014079
    DOI: 10.1016/j.energy.2021.121159
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    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. Ghersi, Djamal Eddine & Amoura, Meriem & Loubar, Khaled & Desideri, Umberto & Tazerout, Mohand, 2021. "Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy," Energy, Elsevier, vol. 219(C).
    5. Zhang, Jian & Cho, Heejin & Knizley, Alta, 2016. "Evaluation of financial incentives for combined heat and power (CHP) systems in U.S. regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 738-762.
    6. 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.
    7. 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).
    8. Jing, You-Yin & Bai, He & Wang, Jiang-Jiang & Liu, Lei, 2012. "Life cycle assessment of a solar combined cooling heating and power system in different operation strategies," Applied Energy, Elsevier, vol. 92(C), pages 843-853.
    9. 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.
    10. Liu, Mingxi & Shi, Yang & Fang, Fang, 2013. "Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach," Applied Energy, Elsevier, vol. 102(C), pages 794-802.
    11. Han, Jie & Ouyang, Leixin & Xu, Yuzhen & Zeng, Rong & Kang, Shushuo & Zhang, Guoqiang, 2016. "Current status of distributed energy system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 288-297.
    12. Li, Miao & Mu, Hailin & Li, Nan & Ma, Baoyu, 2016. "Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system," Energy, Elsevier, vol. 99(C), pages 202-220.
    13. Gao, Lei & Hwang, Yunho & Cao, Tao, 2019. "An overview of optimization technologies applied in combined cooling, heating and power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    14. 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.
    15. Zheng, C.Y. & Wu, J.Y. & Zhai, X.Q. & Wang, R.Z., 2016. "Impacts of feed-in tariff policies on design and performance of CCHP system in different climate zones," Applied Energy, Elsevier, vol. 175(C), pages 168-179.
    16. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    17. Wang, Jiang-Jiang & Xu, Zi-Long & Jin, Hong-Guang & Shi, Guo-hua & Fu, Chao & Yang, Kun, 2014. "Design optimization and analysis of a biomass gasification based BCHP system: A case study in Harbin, China," Renewable Energy, Elsevier, vol. 71(C), pages 572-583.
    18. 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).
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