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A heuristic approach to design a cost-effective and low-CO2 emission synthesis in a heat exchanger network with crude oil distillation units

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  • Xu, Yue
  • Zhang, Lu
  • Cui, Guomin
  • Yang, Qiguo

Abstract

This paper presents a tradeoff grassroots design of cost-effective and low-CO2 emissions heat exchanger networks for crude oil distillation units (CDUs) to address high energy consumption in CDUs. To reduce the impact of the objective's magnitude on the optimization searching direction, a normalization process handling the objectives to the dimensionless indexes to assess the performance of CDU is presented. An originally designed random walk algorithm with compulsive evolution (RWCE) and a special superstructure nodes-based non-structural model (NNM) is adopted for the multi-objective optimization problem. The comparison analysis shows that the proposed model and the heuristic algorithm are robust in solving the global optimization problem. In addition, aiming to investigate the evolution mode of utilities in RWCE, an active evolution strategy of utilities (RWCE-AU) is proposed to promote structural evolution by altering the heat loads of utilities by a certain probability. Finally, several industrial CDU cases are optimized by RWCE and RWCE-AU in this work. The continuous improvement solutions have highlighted that the RWCE could yield a better optimal total annual cost (TAC) compared to the reported initial case. Moreover, the RWCE-AU enhances the searching ability of RWCE and provides a better tradeoff between the economic benefits and the environmental impacts.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:271:y:2023:i:c:s0360544223003663
    DOI: 10.1016/j.energy.2023.126972
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    References listed on IDEAS

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    1. Gadalla, M. & Olujić, Ž. & Jobson, M. & Smith, R., 2006. "Estimation and reduction of CO2 emissions from crude oil distillation units," Energy, Elsevier, vol. 31(13), pages 2398-2408.
    2. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    3. 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.
    4. Pavão, L.V. & Costa, C.B.B. & Ravagnani, M.A.S.S. & Jiménez, L., 2017. "Costs and environmental impacts multi-objective heat exchanger networks synthesis using a meta-heuristic approach," Applied Energy, Elsevier, vol. 203(C), pages 304-320.
    5. You, Xinqiang & Rodriguez-Donis, Ivonne & Gerbaud, Vincent, 2016. "Reducing process cost and CO2 emissions for extractive distillation by double-effect heat integration and mechanical heat pump," Applied Energy, Elsevier, vol. 166(C), pages 128-140.
    6. Szklo, Alexandre & Schaeffer, Roberto, 2007. "Fuel specification, energy consumption and CO2 emission in oil refineries," Energy, Elsevier, vol. 32(7), pages 1075-1092.
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    Cited by:

    1. Zhai, Jian & Xie, Hongfei & Chen, Xin & Peng, Zekong & Sun, Qingbo & Li, Jinwen, 2024. "Design and energy-saving strategy of sustainable pressure-swing distillation with thermally and electrically coupled intensification for separating ternary mixture with multiple azeotropes," Energy, Elsevier, vol. 295(C).
    2. Eyvazi-Abhari, Nargess & Khalili-Garakani, Amirhossein & Kasiri, Norollah, 2023. "Reaction/distillation matrix algorithm development to cover sequences containing reactive HIDiC: Validation in optimized process of dimethyl carbonate production," Energy, Elsevier, vol. 276(C).

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