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Summer performance analysis of coal-based CCHP with new configurations comparing with separate system

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  • Wei, Maolin
  • Yuan, Weixing
  • Fu, Lin
  • Zhang, Shigang
  • Zhao, Xiling

Abstract

Conventional coal-based CCHP system currently is believed to be less efficient than separate vapor compression cooling system in summer. In this paper, new configurations of CCHP system (N-CCHP) are proposed and studied which apply comprehensive methods to improve the system performance. In the N-CCHP, an absorption heat pump is applied in power plant to heat the primary water instead of a traditional heat exchanger. And, a small turbine is used to improve system performance with high bleeding steam pressure. In substation, the primary water is used to drive an absorption chiller and liquid desiccant equipment in series. The domestic water is also produced by the primary water after regeneration of liquid desiccant. Key influencing factors of the N-CCHP system have been fully discussed. In this way, a highly efficient N-CCHP system configuration is obtained and is analyzed to compare with the electricity driven vapor compression (VC) refrigeration system in summer. Results show that the N-CCHP is energy saving and own better performances when the primary water transmission distance is less than 60 km, or the COP of the vapor compression chiller is lower than 7.

Suggested Citation

  • Wei, Maolin & Yuan, Weixing & Fu, Lin & Zhang, Shigang & Zhao, Xiling, 2018. "Summer performance analysis of coal-based CCHP with new configurations comparing with separate system," Energy, Elsevier, vol. 143(C), pages 104-113.
    • Handle: RePEc:eee:energy:v:143:y:2018:i:c:p:104-113
    DOI: 10.1016/j.energy.2017.10.095
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    Cited by:

    1. Gao, D.C. & Sun, Y.J. & Ma, Z. & Ren, H., 2021. "A review on integration and design of desiccant air-conditioning systems for overall performance improvements," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Ruijin Zhu & Weilin Guo & Xuejiao Gong, 2019. "Short-Term Load Forecasting for CCHP Systems Considering the Correlation between Heating, Gas and Electrical Loads Based on Deep Learning," Energies, MDPI, vol. 12(17), pages 1-18, August.
    3. Wang, Jiangjiang & Chen, Yuzhu & Dou, Chao & Gao, Yuefen & Zhao, Zheng, 2018. "Adjustable performance analysis of combined cooling heating and power system integrated with ground source heat pump," Energy, Elsevier, vol. 163(C), pages 475-489.

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