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Multi-objective-period heat exchanger network synthesis and decarbonization for industrial-scale crude oil distillation system

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  • Yang, Zekun
  • Pan, Ting
  • Chang, Chenglin
  • Zhang, Shuhao
  • Zhang, Nan
  • Smith, Robin

Abstract

Transitioning heat exchanger network (HEN) synthesis designs to industrial application involves operational, environmental, and cost considerations, posing computational challenges. This study proposes a systematic optimization approach integrating multi-objective, multi-period optimization HEN synthesis with waste heat recovery and multiple utilities. The proposed methodology incorporates a novel two-step unit reduction strategy to overcome the increase of model combinational complexities arisen from the multi-period features, thereby facilitating the solving of large-scale problems. Meanwhile, environmental impacts are concerned by using the technique for order preference by similarity to ideal solution approach. A new optimization route, Enhanced Pinch-assisted Multi-Objective Optimization is proposed to obtain the final decision in this multi-objective problem time-efficiently. The case study includes a 15 streams problem, and a real industrial-scale crude oil distillation preheat system. The results showed that assigning carbon compensation to the waste heat recovery option can significantly reduce carbon emissions and change energy distribution.

Suggested Citation

  • Yang, Zekun & Pan, Ting & Chang, Chenglin & Zhang, Shuhao & Zhang, Nan & Smith, Robin, 2025. "Multi-objective-period heat exchanger network synthesis and decarbonization for industrial-scale crude oil distillation system," Energy, Elsevier, vol. 326(C).
    • Handle: RePEc:eee:energy:v:326:y:2025:i:c:s0360544225019425
    DOI: 10.1016/j.energy.2025.136300
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