IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v283y2023ics0360544223024234.html
   My bibliography  Save this article

Retrofit heat exchanger network optimization via graph-theoretical approach: Pinch-bounded N-best solutions allows positional swapping

Author

Listed:
  • Teng, Sin Yong
  • Orosz, Ákos
  • How, Bing Shen
  • Jansen, Jeroen J.
  • Friedler, Ferenc

Abstract

Retrofit heat exchanger network (HEN) optimization is a fundamentally unique problem which requires the consideration of existing structures, compared to grassroots design problems. The optimization of retrofit HENs is particularly difficult due to the integration of both existing and newly acquired equipment. The re-routing of existing equipment can lead to various network topologies, increasing the complexity of considerations. In this work, we exploit the P-graph framework to solve retrofit HEN problems, guaranteeing to find the topology of optimal solutions within the constrained space of the HEN retrofit problem. The P-graph framework has additional advantages that allows topologically-efficient search space, simplifies additional unit placement, considers unit positional swapping (re-sequencing and re-piping within search constraints), considers stream splitting, and n-best solution visualization. The pinch minimum utility constraint also provides a bound for the maximum number of modifications in the HEN, significantly reducing search space. The proposed P-graph-based approach is demonstrated using a real refinery case study to show its capability in obtaining the topology of the optimal HEN, highlighting the economic and energy benefits. Further extensions to other retrofit process integration problems (e.g. retrofit water network, hydrogen network etc.) will be enabled via the proposed P-graph approach.

Suggested Citation

  • Teng, Sin Yong & Orosz, Ákos & How, Bing Shen & Jansen, Jeroen J. & Friedler, Ferenc, 2023. "Retrofit heat exchanger network optimization via graph-theoretical approach: Pinch-bounded N-best solutions allows positional swapping," Energy, Elsevier, vol. 283(C).
  • Handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024234
    DOI: 10.1016/j.energy.2023.129029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223024234
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.129029?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Nianqi & Klemeš, Jiří Jaromír & Sunden, Bengt & Wu, Zan & Wang, Qiuwang & Zeng, Min, 2022. "Heat exchanger network synthesis considering detailed thermal-hydraulic performance: Methods and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    2. Liu, Zhaoli & Yang, Lu & Yang, Siyu & Qian, Yu, 2022. "An extended stage-wise superstructure for heat exchanger network synthesis with intermediate placement of multiple utilities," Energy, Elsevier, vol. 248(C).
    3. Klemeš, Jiří Jaromír & Fan, Yee Van & Tan, Raymond R. & Jiang, Peng, 2020. "Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    4. Orosz, Ákos & Friedler, Ferenc, 2020. "Multiple-solution heat exchanger network synthesis for enabling the best industrial implementation," Energy, Elsevier, vol. 208(C).
    5. 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.
    6. Lai, Yee Qing & Manan, Zainuddin Abdul & Wan Alwi, Sharifah Rafidah, 2018. "Simultaneous diagnosis and retrofit of heat exchanger network via individual process stream mapping," Energy, Elsevier, vol. 155(C), pages 1113-1128.
    7. 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.
    8. Pavão, Leandro V. & Miranda, Camila B. & Costa, Caliane B.B. & Ravagnani, Mauro A.S.S., 2018. "Efficient multiperiod heat exchanger network synthesis using a meta-heuristic approach," Energy, Elsevier, vol. 142(C), pages 356-372.
    9. Bec Crew, 2022. "Solving the energy crisis," Nature, Nature, vol. 609(7926), pages 1-1, September.
    10. Bohong Wang & Jiří Jaromír Klemeš & Petar Sabev Varbanov & Min Zeng, 2020. "An Extended Grid Diagram for Heat Exchanger Network Retrofit Considering Heat Exchanger Types," Energies, MDPI, vol. 13(10), pages 1-14, May.
    11. 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.
    12. Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Abdul-Manan, Zainuddin & Klemeš, Jiří Jaromír, 2012. "A process integration targeting method for hybrid power systems," Energy, Elsevier, vol. 44(1), pages 6-10.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Lai, Yee Qing & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul, 2019. "Customised retrofit of heat exchanger network combining area distribution and targeted investment," Energy, Elsevier, vol. 179(C), pages 1054-1066.
    3. Hong, Xiaodong & Liao, Zuwei & Sun, Jingyuan & Jiang, Binbo & Wang, Jingdai & Yang, Yongrong, 2019. "Transshipment type heat exchanger network model for intra- and inter-plant heat integration using process streams," Energy, Elsevier, vol. 178(C), pages 853-866.
    4. Klemeš, Jiří Jaromír & Wang, Qiu-Wang & Varbanov, Petar Sabev & Zeng, Min & Chin, Hon Huin & Lal, Nathan Sanjay & Li, Nian-Qi & Wang, Bohong & Wang, Xue-Chao & Walmsley, Timothy Gordon, 2020. "Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    5. Chin, Hon Huin & Wang, Bohong & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Zeng, Min & Wang, Qiu-Wang, 2020. "Long-term investment and maintenance planning for heat exchanger network retrofit," Applied Energy, Elsevier, vol. 279(C).
    6. 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.
    7. Seferlis, Panos & Varbanov, Petar Sabev & Papadopoulos, Athanasios I. & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2021. "Sustainable design, integration, and operation for energy high-performance process systems," Energy, Elsevier, vol. 224(C).
    8. Wang, Bohong & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Chin, Hon Huin & Wang, Qiu-Wang & Zeng, Min, 2020. "Heat exchanger network retrofit by a shifted retrofit thermodynamic grid diagram-based model and a two-stage approach," Energy, Elsevier, vol. 198(C).
    9. Stampfli, Jan A. & Ong, Benjamin H.Y. & Olsen, Donald G. & Wellig, Beat & Hofmann, René, 2023. "Multi-objective evolutionary optimization for multi-period heat exchanger network retrofit," Energy, Elsevier, vol. 281(C).
    10. Lai, Yee Qing & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul, 2020. "Graphical customisation of process and utility changes for heat exchanger network retrofit using individual stream temperature versus enthalpy plot," Energy, Elsevier, vol. 203(C).
    11. Wang, Bohong & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Zeng, Min & Liang, Yongtu, 2021. "Heat Exchanger Network synthesis considering prohibited and restricted matches," Energy, Elsevier, vol. 225(C).
    12. 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.
    13. Wang, Bohong & Arsenyeva, Olga & Zeng, Min & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2022. "An advanced Grid Diagram for heat exchanger network retrofit with detailed plate heat exchanger design," Energy, Elsevier, vol. 248(C).
    14. Veknesh Arumugam & Ismail Abdullah & Irwan Syah Md Yusoff & Nor Liza Abdullah & Ramli Mohd Tahir & Ahadi Mohd Nasir & Ammar Ehsan Omar & Muhammad Heikal Ismail, 2021. "The Impact of COVID-19 on Solid Waste Generation in the Perspectives of Socioeconomic and People’s Behavior: A Case Study in Serdang, Malaysia," Sustainability, MDPI, vol. 13(23), pages 1-11, November.
    15. Nyong-Bassey, Bassey Etim & Giaouris, Damian & Patsios, Charalampos & Papadopoulou, Simira & Papadopoulos, Athanasios I. & Walker, Sara & Voutetakis, Spyros & Seferlis, Panos & Gadoue, Shady, 2020. "Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty," Energy, Elsevier, vol. 193(C).
    16. Li, Nianqi & Klemeš, Jiří Jaromír & Sunden, Bengt & Wu, Zan & Wang, Qiuwang & Zeng, Min, 2022. "Heat exchanger network synthesis considering detailed thermal-hydraulic performance: Methods and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    17. Min Su & Qiang Wang & Rongrong Li, 2021. "How to Dispose of Medical Waste Caused by COVID-19? A Case Study of China," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
    18. Zhu, Xiaochen & Fuli, Wang, 2023. "Energy savings bottleneck diagnosis and optimization decision method for industrial auxiliary system based on energy efficiency gap analysis," Energy, Elsevier, vol. 263(PE).
    19. Li, Chen & Wang, Yinglong & Chen, Guanghui & Li, Quan & Gu, Xinchun & Li, Xin & Wang, Yuguang & Zhu, Zhaoyou & Li, Jianlong, 2022. "Thermodynamic analysis and process optimization of organosilicon distillation systems," Energy, Elsevier, vol. 252(C).
    20. Abu Yousuf & Md Shahadat Hossain & Nishat Paul & Md Woashib Shikder & Deepak Kumar & Domenico Pirozzi & Ahmed Nazmus Sakib & Pejman Kazempoor, 2023. "Process Integration Approach to the Methanol (MeOH) Production Variability from Syngas and Industrial Waste Gases," Energies, MDPI, vol. 16(18), pages 1-24, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:283:y:2023:i:c:s0360544223024234. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.