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Selection of minimum temperature difference (ΔTmin) for heat exchanger network synthesis based on trade-off plot

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  • Bakar, Suraya Hanim Abu
  • Hamid, Mohd. Kamaruddin Abd.
  • Alwi, Sharifah Rafidah Wan
  • Manan, Zainuddin Abdul

Abstract

This paper presents a systematic technique to select the optimal design target for the heat exchanger network (HEN) synthesis by using a new trade-off plot which considers aspects of design, controllability in terms of steady state flexibility and sensitivity analysis, and cost. By selecting the HEN design target according to this guideline, the designer is able to predict the design, operability, and controllability of the designed HEN at the beginning of the synthesis stage. In this study, the HEN design target that needs to be optimized is the value of the minimum temperature difference (ΔTmin). In traditional HEN synthesis, designers only consider the trade-off between capital and operating costs in selecting the best ΔTmin. As a result, the HEN design at the selected ΔTmin may not be optimum in terms of steady state controllability. In addition to considering the capital and operating costs, the proposed new method provides additional design insights in terms of energy recovery, operability, controllability (steady state) through the flexibility and sensitivity. The proposed trade-off plot allows designers to choose the most suitable design target either for the purpose of improving a network’s energy recovery and/or controllability. A case study has been applied to test the capability of the new proposed trade-off plot. The results show that ΔTmin=40°C is the optimal design target to synthesize flexible and operable HEN.

Suggested Citation

  • Bakar, Suraya Hanim Abu & Hamid, Mohd. Kamaruddin Abd. & Alwi, Sharifah Rafidah Wan & Manan, Zainuddin Abdul, 2016. "Selection of minimum temperature difference (ΔTmin) for heat exchanger network synthesis based on trade-off plot," Applied Energy, Elsevier, vol. 162(C), pages 1259-1271.
  • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:1259-1271
    DOI: 10.1016/j.apenergy.2015.07.056
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    References listed on IDEAS

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    1. Wang, Yufei & Wei, Ying & Feng, Xiao & Chu, Khim Hoong, 2014. "Synthesis of heat exchanger networks featuring batch streams," Applied Energy, Elsevier, vol. 114(C), pages 30-44.
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    Cited by:

    1. Sofie Marton & Elin Svensson & Simon Harvey, 2020. "Operability and Technical Implementation Issues Related to Heat Integration Measures—Interview Study at an Oil Refinery in Sweden," Energies, MDPI, vol. 13(13), pages 1-23, July.
    2. Ulyev, Leonid & Boldyryev, Stanislav & Kuznetsov, Maxim, 2023. "Investigation of process stream systems for targeting energy-capital trade-offs of a heat recovery network," Energy, Elsevier, vol. 263(PD).
    3. Diban, Pitchaimuthu & Foo, Dominic C.Y., 2018. "Targeting and design of heating utility system for offshore platform," Energy, Elsevier, vol. 146(C), pages 98-111.
    4. Oluleye, Gbemi & Smith, Robin, 2016. "A mixed integer linear programming model for integrating thermodynamic cycles for waste heat exploitation in process sites," Applied Energy, Elsevier, vol. 178(C), pages 434-453.
    5. Zhang, Di & Lv, Donghui & Yin, Changfang & Liu, Guilian, 2020. "Combined pinch and mathematical programming method for coupling integration of reactor and threshold heat exchanger network," Energy, Elsevier, vol. 205(C).
    6. Liu, Linlin & Li, Chenying & Gu, Siwen & Zhang, Lei & Du, Jian, 2020. "Optimization-based framework for the synthesis of heat exchanger networks incorporating controllability," Energy, Elsevier, vol. 208(C).
    7. Boldyryev, Stanislav & Gil, Tatyana & Ilchenko, Mariia, 2022. "Environmental and economic assessment of the efficiency of heat exchanger network retrofit options based on the experience of society and energy price records," Energy, Elsevier, vol. 260(C).
    8. Wang, Bohong & Klemeš, Jiří Jaromír & Li, Nianqi & Zeng, Min & Varbanov, Petar Sabev & Liang, Yongtu, 2021. "Heat exchanger network retrofit with heat exchanger and material type selection: A review and a novel method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).

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