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The implementation of inter-plant heat integration among multiple plants. Part II: The mathematical model

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  • Song, Runrun
  • Chang, Chenglin
  • Tang, Qikui
  • Wang, Yufei
  • Feng, Xiao
  • El-Halwagi, Mahmoud M.

Abstract

It is a challenging task to solve a large-scale Inter-Plant Heat Integration (IPHI) problem, especially for simultaneous optimization for intra- and inter-plant heat integration. In the companion paper (Part I), a novel screening algorithm named Nearest and Largest Qrec-based Screening Algorithm (NLQSA) was proposed. It can be used to divide a large-scale IPHI problem into several small ones, each of which includes two or three plants, while keeping the theoretical maximum inter-plant heat recovery potential Qrecmax almost unchanged. NLQSA provides a prior solution before determination of inter-plant Heat Exchanger Network (HEN) configuration for each achieved small IPHI scheme. In this paper, a modified MINLP model with an objective of minimum Total Annual Cost (TAC) is proposed to determine the final inter-plant HEN configurations of achieved segregated IPHI schemes. With the addition of stream data extraction method and NLQSA which were proposed in Part I of this paper series, a complete three-step strategy is established in order to solve the large-scale IPHI problem. Theoretically, a large-scale IPHI problem can be solved no matter how many plants involved. A case study with seven plants is introduced to illustrate the feasibility and effectiveness of the proposed method.

Suggested Citation

  • Song, Runrun & Chang, Chenglin & Tang, Qikui & Wang, Yufei & Feng, Xiao & El-Halwagi, Mahmoud M., 2017. "The implementation of inter-plant heat integration among multiple plants. Part II: The mathematical model," Energy, Elsevier, vol. 135(C), pages 382-393.
    • Handle: RePEc:eee:energy:v:135:y:2017:i:c:p:382-393
    DOI: 10.1016/j.energy.2017.06.136
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    References listed on IDEAS

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    2. Pan, Huangji & Jin, Yuhui & Li, Shaojun, 2018. "Multi-plant indirect heat integration based on the Alopex-based evolutionary algorithm," Energy, Elsevier, vol. 163(C), pages 811-821.
    3. Ainur Munirah Hafizan & Jiří Jaromír Klemeš & Sharifah Rafidah Wan Alwi & Zainuddin Abdul Manan & Mohd Kamaruddin Abd Hamid, 2019. "Temperature Disturbance Management in a Heat Exchanger Network for Maximum Energy Recovery Considering Economic Analysis," Energies, MDPI, vol. 12(4), pages 1-30, February.
    4. Tarighaleslami, Amir H. & Walmsley, Timothy G. & Atkins, Martin J. & Walmsley, Michael R.W. & Neale, James R., 2018. "Utility Exchanger Network synthesis for Total Site Heat Integration," Energy, Elsevier, vol. 153(C), pages 1000-1015.
    5. López-Flores, Francisco Javier & Hernández-Pérez, Luis Germán & Lira-Barragán, Luis Fernando & Rubio-Castro, Eusiel & Ponce-Ortega, José M., 2022. "Optimal Profit Distribution in Interplant Waste Heat Integration through a Hybrid Approach," Energy, Elsevier, vol. 253(C).
    6. Hür Bütün & Ivan Kantor & François Maréchal, 2019. "Incorporating Location Aspects in Process Integration Methodology," Energies, MDPI, vol. 12(17), pages 1-45, August.
    7. Ma, Jiaze & Chang, Chenglin & Wang, Yufei & Feng, Xiao, 2018. "Multi-objective optimization of multi-period interplant heat integration using steam system," Energy, Elsevier, vol. 159(C), pages 950-960.

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