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Multi-objective optimization on a heat exchanger network retrofit with a heat pump and analysis of CO2 emissions control

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  • Kang, Lixia
  • Liu, Yongzhong

Abstract

Integrating a heat pump into a heat exchanger network (HEN) can effectively recover the low-grade heat and reduce energy consumption. In this paper, a multi-objective optimization model on a HEN retrofit with a heat pump is proposed, with the goals of minimizing the total annual cost for the retrofit and maximizing the total annual CO2 emission reduction simultaneously. The Pareto front of these two objectives is obtained by solving the proposed model. Each point on the Pareto front corresponds to the optimal configuration of the heat pump and the process heat exchangers near the pinch of the HEN. The effect of the heat pump on the economic efficiency and CO2 emission reduction of the HEN are analyzed. The results indicate that integrating the heat pump into the HEN can improve the recovery of low-grade heat and reduce energy consumption and CO2 emissions. However, the integration of the heat pump into a HEN could offset the benefits from CO2 emission reduction by energy savings, in which the CO2 emission reduction is restricted by a critical power input and a critical temperature rise. Consequently, rational installation and reasonable operation parameters of heat pump become significantly important to simultaneously ensure the reduction of CO2 emissions and energy savings in HEN retrofit.

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  • Kang, Lixia & Liu, Yongzhong, 2015. "Multi-objective optimization on a heat exchanger network retrofit with a heat pump and analysis of CO2 emissions control," Applied Energy, Elsevier, vol. 154(C), pages 696-708.
    • Handle: RePEc:eee:appene:v:154:y:2015:i:c:p:696-708
    DOI: 10.1016/j.apenergy.2015.05.050
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    References listed on IDEAS

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    4. Ramadan, M. & Khaled, M. & El Hage, H. & Harambat, F. & Peerhossaini, H., 2016. "Effect of air temperature non-uniformity on water–air heat exchanger thermal performance – Toward innovative control approach for energy consumption reduction," Applied Energy, Elsevier, vol. 173(C), pages 481-493.
    5. Xu, Yue & Zhang, Lu & Cui, Guomin & Yang, Qiguo, 2023. "A heuristic approach to design a cost-effective and low-CO2 emission synthesis in a heat exchanger network with crude oil distillation units," Energy, Elsevier, vol. 271(C).
    6. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Ren, Jianxing, 2016. "Multi-objective optimization of a distributed energy network integrated with heating interchange," Energy, Elsevier, vol. 109(C), pages 353-364.
    7. Lei Wen & Fei Yan, 2018. "Regional differences and influencing factors in the CO2 emissions of China’s power industry based on the panel data models considering power-consuming efficiency factor," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(5), pages 1987-2007, October.
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    9. Xu, Bin & Lin, Boqiang, 2016. "Differences in regional emissions in China's transport sector: Determinants and reduction strategies," Energy, Elsevier, vol. 95(C), pages 459-470.
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    12. Soualhi, Moncef & El Koujok, Mohamed & Nguyen, Khanh T.P. & Medjaher, Kamal & Ragab, Ahmed & Ghezzaz, Hakim & Amazouz, Mouloud & Ouali, Mohamed-Salah, 2021. "Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors," Applied Energy, Elsevier, vol. 283(C).
    13. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
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