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A pinch-based method for defining pressure manipulation routes in work and heat exchange networks

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  • Pavão, Leandro V.
  • Caballero, José A.
  • Ravagnani, Mauro A.S.S.
  • Costa, Caliane B.B.

Abstract

Aiming for more energetically efficient and sustainable solutions, academic attention to work and heat integration (WHI) has grown in the last decade. Simultaneous models for work and heat exchanger network (WHEN) synthesis often derive from heat integration (HI) frameworks. However, it can be noted that simultaneous optimization models for WHI are considerably more complex to solve than in the HI case. The design of efficient pressure manipulation routes (i.e., allocation and sizing of compression and expansion machinery) in process streams prior to heat exchange match allocation can make the optimization procedure more efficient. This work proposes a systematic procedure based on a model that employs Pinch Analysis concepts for defining these routes based on capital and operating cost targets. The solution approach is a hybrid meta-heuristic method based on Simulated Annealing (SA) and Particle Swarm Optimization (PSO). The obtained routes are then converted into a HI problem by fixing pressure manipulation unit sizes. The detailed HI solution is finally transferred into a WHI optimization model as initial design. In the two tackled examples, the total annual costs (TAC) predicted by the Pinch-based model differed by 0.5% and 1.2% from the final optimized WHEN obtained in the detailed WHI framework.

Suggested Citation

  • Pavão, Leandro V. & Caballero, José A. & Ravagnani, Mauro A.S.S. & Costa, Caliane B.B., 2020. "A pinch-based method for defining pressure manipulation routes in work and heat exchange networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
  • Handle: RePEc:eee:rensus:v:131:y:2020:i:c:s136403212030280x
    DOI: 10.1016/j.rser.2020.109989
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    References listed on IDEAS

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    1. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
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    5. Santos, Lucas F. & Costa, Caliane B.B. & Caballero, José A. & Ravagnani, Mauro A.S.S., 2020. "Synthesis and optimization of work and heat exchange networks using an MINLP model with a reduced number of decision variables," Applied Energy, Elsevier, vol. 262(C).
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