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Multi-objective evolutionary optimization for multi-period heat exchanger network retrofit

Author

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  • Stampfli, Jan A.
  • Ong, Benjamin H.Y.
  • Olsen, Donald G.
  • Wellig, Beat
  • Hofmann, René

Abstract

Increase in energy efficiency and reduction in greenhouse gas (GHG) emissions in industry are important steps towards a more sustainable economy. Due to the growing share of high value-added industries multi-period operation becomes more common in process industry. Therefore, retrofit of existing multi-period production plants is a key aspect towards more sustainable production processes. Hence, in this work, an existing two-level evolutionary algorithm using a genetic algorithm and a differential evolution for multi-period heat exchanger network retrofit is extended to consider GHG emissions as a second objective to the total annual cost (TAC). The multi-objective problem is addressed by incorporating a non-dominated sorting genetic algorithm (NSGA-II) and hypervolume indicators into the algorithm. By analyzing an industrial case study of a potato chips production, the results of the multi-objective optimization shows that GHG emissions can be reduced by 50%. However, compared to the single-objective optimization, TAC is increased by 27%. By selecting capital costs and operating costs as objectives instead, similar results to the single-objective optimization are achieved showing that the results are highly dependent on the selection of the objectives. Further, changes in utility costs and caused emissions have a high impact on the results.

Suggested Citation

  • Stampfli, Jan A. & Ong, Benjamin H.Y. & Olsen, Donald G. & Wellig, Beat & Hofmann, René, 2023. "Multi-objective evolutionary optimization for multi-period heat exchanger network retrofit," Energy, Elsevier, vol. 281(C).
    • Handle: RePEc:eee:energy:v:281:y:2023:i:c:s0360544223015694
    DOI: 10.1016/j.energy.2023.128175
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    References listed on IDEAS

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    1. Sreepathi, Bhargava Krishna & Rangaiah, G.P., 2014. "Improved heat exchanger network retrofitting using exchanger reassignment strategies and multi-objective optimization," Energy, Elsevier, vol. 67(C), pages 584-594.
    2. Aguitoni, Maria Claudia & Pavão, Leandro Vitor & Antonio da Silva Sá Ravagnani, Mauro, 2019. "Heat exchanger network synthesis combining Simulated Annealing and Differential Evolution," Energy, Elsevier, vol. 181(C), pages 654-664.
    3. Pavão, Leandro V. & Miranda, Camila B. & Costa, Caliane B.B. & Ravagnani, Mauro A.S.S., 2018. "Efficient multiperiod heat exchanger network synthesis using a meta-heuristic approach," Energy, Elsevier, vol. 142(C), pages 356-372.
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