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A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system

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  • Zhang, Jianyun
  • Liu, Pei
  • Zhou, Zhe
  • Ma, Linwei
  • Li, Zheng
  • Ni, Weidou

Abstract

A large number of heat flows at various temperature and pressure levels exist in a polygeneration plant which co-produces electricity and chemical products. Integration of these external heat flows in a heat recovery steam generator (HRSG) has great potential to further enhance energy efficiency of such a plant; however, it is a challenging problem arising from the large design space of heat exchanger network. In this paper, a mixed-integer nonlinear programming model is developed for the design optimization of a HRSG with consideration of all alternative matches between the HRSG and external heat flows. This model is applied to four polygeneration cases with different HRSG types, and results indicate that the optimized heat network mainly depends on the HRSG type and the model specification.

Suggested Citation

  • Zhang, Jianyun & Liu, Pei & Zhou, Zhe & Ma, Linwei & Li, Zheng & Ni, Weidou, 2014. "A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system," Applied Energy, Elsevier, vol. 114(C), pages 146-154.
    • Handle: RePEc:eee:appene:v:114:y:2014:i:c:p:146-154
    DOI: 10.1016/j.apenergy.2013.09.057
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    7. Ferrari, Mario L. & Traverso, Alberto & Massardo, Aristide F., 2016. "Smart polygeneration grids: experimental performance curves of different prime movers," Applied Energy, Elsevier, vol. 162(C), pages 622-630.
    8. Li, Tianxiao & Li, Zheng & Li, Weiqi, 2020. "Scenarios analysis on the cross-region integrating of renewable power based on a long-period cost-optimization power planning model," Renewable Energy, Elsevier, vol. 156(C), pages 851-863.
    9. Arabkoohsar, A. & Andresen, G.B., 2019. "Design and optimization of a novel system for trigeneration," Energy, Elsevier, vol. 168(C), pages 247-260.
    10. Cheng, Rui & Xu, Zhaofeng & Liu, Pei & Wang, Zhe & Li, Zheng & Jones, Ian, 2015. "A multi-region optimization planning model for China’s power sector," Applied Energy, Elsevier, vol. 137(C), pages 413-426.
    11. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    12. Ferrari, M.L. & Cuneo, A. & Pascenti, M. & Traverso, A., 2017. "Real-time state of charge estimation in thermal storage vessels applied to a smart polygeneration grid," Applied Energy, Elsevier, vol. 206(C), pages 90-100.
    13. Elsido, Cristina & Martelli, Emanuele & Kreutz, Thomas, 2019. "Heat integration and heat recovery steam cycle optimization for a low-carbon lignite/biomass-to-jet fuel demonstration project," Applied Energy, Elsevier, vol. 239(C), pages 1322-1342.
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