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A novel optimization approach of improving energy recovery in retrofitting heat exchanger network with exchanger details

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  • Pan, Ming
  • Smith, Robin
  • Bulatov, Igor

Abstract

Improving energy recovery with retrofitting heat exchanger network has been widely studied in academic and industrial communities. Distinct from most of existing works on HEN retrofit neglecting exchanger geometry, this paper presents a novel optimization method for dealing with the main exchanger geometry details in HEN retrofit problems. The addressed details of shell and tube exchangers include tube passes, shell passes, heat transfer intensification, logarithmic mean temperature difference (LMTD), and LMTD correction factor (FT), which are systematically identified under given objective function and topological constraints in the existing heat recovery systems. Based on the recent works proposed by Pan et al. [1] on HEN retrofit scenarios addressing network topology modification, an efficient optimization framework, consisting of two optimization stages with the implementation of MILP-based iterative method [2], has been developed to deal with the computational difficulties associated with the nonlinearity of LMTD and FT. Case study from literature examples are carried out to demonstrate the validity and soundness of the proposed approach, showing that the new proposed approach is able to provide realistic and practical solutions for debottlenecking of HEN with systematic consideration of exchanger details.

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  • Pan, Ming & Smith, Robin & Bulatov, Igor, 2013. "A novel optimization approach of improving energy recovery in retrofitting heat exchanger network with exchanger details," Energy, Elsevier, vol. 57(C), pages 188-200.
    • Handle: RePEc:eee:energy:v:57:y:2013:i:c:p:188-200
    DOI: 10.1016/j.energy.2012.10.056
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    References listed on IDEAS

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    1. Soltani, Hadi & Shafiei, Sirous, 2011. "Heat exchanger networks retrofit with considering pressure drop by coupling genetic algorithm with LP (linear programming) and ILP (integer linear programming) methods," Energy, Elsevier, vol. 36(5), pages 2381-2391.
    2. Rašković, Predrag & Stoiljković, Sreten, 2009. "Pinch design method in the case of a limited number of process streams," Energy, Elsevier, vol. 34(5), pages 593-612.
    3. Wang, Yufei & Feng, Xiao & Cai, Yan & Zhu, Maobin & Chu, Khim H., 2009. "Improving a process's efficiency by exploiting heat pockets in its heat exchange network," Energy, Elsevier, vol. 34(11), pages 1925-1932.
    4. Kovač Kralj, Anita, 2010. "Optimization of an industrial retrofitted heat exchanger network, using a stage-wise model," Energy, Elsevier, vol. 35(12), pages 4748-4753.
    5. Panjeshahi, Mohammad Hassan & Tahouni, Nassim, 2008. "Pressure drop optimisation in debottlenecking of heat exchanger networks," Energy, Elsevier, vol. 33(6), pages 942-951.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Liu, Pu & Cui, Guomin & Xiao, Yuan & Chen, Jiaxing, 2018. "A new heuristic algorithm with the step size adjustment strategy for heat exchanger network synthesis," Energy, Elsevier, vol. 143(C), pages 12-24.
    2. Zhu, Ming & Nan, Wenguang & Wang, Yueshe, 2023. "Analysis on the thermal behaviour of the latent heat storage system using S-CO2 and H-PCM," Renewable Energy, Elsevier, vol. 208(C), pages 240-250.
    3. Gadalla, Mamdouh A., 2015. "A new graphical method for Pinch Analysis applications: Heat exchanger network retrofit and energy integration," Energy, Elsevier, vol. 81(C), pages 159-174.
    4. Tahouni, Nassim & Khoshchehreh, Rezvaneh & Panjeshahi, M. Hassan, 2014. "Debottlenecking of condensate stabilization unit in a gas refinery," Energy, Elsevier, vol. 77(C), pages 742-751.
    5. Kamel, Dina A. & Gadalla, Mamdouh A. & Abdelaziz, Omar Y. & Labib, Mennat A. & Ashour, Fatma H., 2017. "Temperature driving force (TDF) curves for heat exchanger network retrofit – A case study and implications," Energy, Elsevier, vol. 123(C), pages 283-295.
    6. Novak Pintarič, Zorka & Kravanja, Zdravko, 2015. "A methodology for the synthesis of heat exchanger networks having large numbers of uncertain parameters," Energy, Elsevier, vol. 92(P3), pages 373-382.
    7. Pan, Ming & Jamaliniya, Sara & Smith, Robin & Bulatov, Igor & Gough, Martin & Higley, Tom & Droegemueller, Peter, 2013. "New insights to implement heat transfer intensification for shell and tube heat exchangers," Energy, Elsevier, vol. 57(C), pages 208-221.
    8. Sun, Jin & Feng, Xiao & Wang, Yufei & Deng, Chun & Chu, Khim Hoong, 2014. "Pump network optimization for a cooling water system," Energy, Elsevier, vol. 67(C), pages 506-512.
    9. 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.
    10. Pan, Ming & Sikorski, Janusz & Akroyd, Jethro & Mosbach, Sebastian & Lau, Raymond & Kraft, Markus, 2016. "Design technologies for eco-industrial parks: From unit operations to processes, plants and industrial networks," Applied Energy, Elsevier, vol. 175(C), pages 305-323.
    11. Zhang, B.J. & Li, J. & Zhang, Z.L. & Wang, K. & Chen, Q.L., 2016. "Simultaneous design of heat exchanger network for heat integration using hot direct discharges/feeds between process plants," Energy, Elsevier, vol. 109(C), pages 400-411.
    12. Pan, Ming & Bulatov, Igor & Smith, Robin, 2016. "Improving heat recovery in retrofitting heat exchanger networks with heat transfer intensification, pressure drop constraint and fouling mitigation," Applied Energy, Elsevier, vol. 161(C), pages 611-626.

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