IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v92y2015ip3p373-382.html
   My bibliography  Save this article

A methodology for the synthesis of heat exchanger networks having large numbers of uncertain parameters

Author

Listed:
  • Novak Pintarič, Zorka
  • Kravanja, Zdravko

Abstract

This paper presents a robust computational methodology for the synthesis and design of flexible HEN (Heat Exchanger Networks) having large numbers of uncertain parameters. This methodology combines several heuristic methods which progressively lead to a flexible HEN design at a specific level of confidence. During the first step, a HEN topology is generated under nominal conditions followed by determining those points critical for flexibility. A significantly reduced multi-scenario model for flexible HEN design is formulated at the nominal point with the flexibility constraints at the critical points. The optimal design obtained is tested by stochastic Monte Carlo optimization and the flexibility index through solving one-scenario problems within a loop.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:92:y:2015:i:p3:p:373-382
    DOI: 10.1016/j.energy.2015.02.106
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215002868
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2015.02.106?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. Lin, Q.G. & Huang, G.H., 2010. "An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level," Energy, Elsevier, vol. 35(5), pages 2270-2280.
    2. Tan, Raymond R. & Foo, Dominic C.Y., 2007. "Pinch analysis approach to carbon-constrained energy sector planning," Energy, Elsevier, vol. 32(8), pages 1422-1429.
    3. Nemet, Andreja & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2013. "Optimising entire lifetime economy of heat exchanger networks," Energy, Elsevier, vol. 57(C), pages 222-235.
    4. 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.
    5. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Langner & Elin Svensson & Simon Harvey, 2020. "A Framework for Flexible and Cost-Efficient Retrofit Measures of Heat Exchanger Networks," Energies, MDPI, vol. 13(6), pages 1-24, March.
    2. Kang, Lixia & Liu, Yongzhong & Wu, Le, 2016. "Synthesis of multi-period heat exchanger networks based on features of sub-period durations," Energy, Elsevier, vol. 116(P2), pages 1302-1311.
    3. 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).
    4. Yee Van Fan & Zorka Novak Pintarič & Jiří Jaromír Klemeš, 2020. "Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability," Energies, MDPI, vol. 13(16), pages 1-25, August.
    5. Lal, Nathan S. & Atkins, Martin J. & Walmsley, Timothy G. & Walmsley, Michael R.W. & Neale, James R., 2019. "Insightful heat exchanger network retrofit design using Monte Carlo simulation," Energy, Elsevier, vol. 181(C), pages 1129-1141.
    6. 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.
    7. Kler, Aleksandr M. & Potanina, Yulia M. & Marinchenko, Andrey Y., 2020. "Co-optimization of thermal power plant flowchart, thermodynamic cycle parameters, and design parameters of components," Energy, Elsevier, vol. 193(C).
    8. Yang, Yang & Zhang, Qiao & Feng, Xiao, 2023. "Comprehensive integration of mass and energy utilization for refinery and synthetic plant of chemicals," Energy, Elsevier, vol. 265(C).
    9. Pavão, Leandro V. & Pozo, Carlos & Costa, Caliane B.B. & Ravagnani, Mauro A.S.S. & Jiménez, Laureano, 2017. "Financial risks management of heat exchanger networks under uncertain utility costs via multi-objective optimization," Energy, Elsevier, vol. 139(C), pages 98-117.
    10. Zirngast, Klavdija & Kravanja, Zdravko & Novak Pintarič, Zorka, 2021. "An improved algorithm for synthesis of heat exchanger network with a large number of uncertain parameters," Energy, Elsevier, vol. 233(C).
    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.

    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. Li, Zhiwei & Jia, Xiaoping & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Minimizing carbon footprint using pinch analysis: The case of regional renewable electricity planning in China," Applied Energy, Elsevier, vol. 184(C), pages 1051-1062.
    2. Norbu, Sonam & Bandyopadhyay, Santanu, 2017. "Power Pinch Analysis for optimal sizing of renewable-based isolated system with uncertainties," Energy, Elsevier, vol. 135(C), pages 466-475.
    3. Chen, Cheng-Liang & Lai, Chieh-Ting & Lee, Jui-Yuan, 2014. "Transshipment model-based linear programming formulation for targeting hybrid power systems with power loss considerations," Energy, Elsevier, vol. 75(C), pages 24-30.
    4. Haragovics, Máté & Mizsey, Péter, 2014. "A novel application of exergy analysis: Lean manufacturing tool to improve energy efficiency and flexibility of hydrocarbon processing," Energy, Elsevier, vol. 77(C), pages 382-390.
    5. Ho, Wai Shin & Hashim, Haslenda & Lim, Jeng Shiun & Lee, Chew Tin & Sam, Kah Chiin & Tan, Sie Ting, 2017. "Waste Management Pinch Analysis (WAMPA): Application of Pinch Analysis for greenhouse gas (GHG) emission reduction in municipal solid waste management," Applied Energy, Elsevier, vol. 185(P2), pages 1481-1489.
    6. Low, Elaine & Huang, Si-Min & Yang, Minlin & Show, Pau Loke & Law, Chung Lim, 2021. "Design of cascade analysis for renewable and waste heat recovery in a solar thermal regeneration unit of a liquid desiccant dehumidification system," Energy, Elsevier, vol. 235(C).
    7. 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.
    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. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    11. Chen, Cheng-Liang & Lai, Chieh-Ting & Lee, Jui-Yuan, 2014. "Transshipment model-based MILP (mixed-integer linear programming) formulation for targeting and design of hybrid power systems," Energy, Elsevier, vol. 65(C), pages 550-559.
    12. Janghorban Esfahani, Iman & Yoo, ChangKyoo, 2016. "An optimization algorithm-based pinch analysis and GA for an off-grid batteryless photovoltaic-powered reverse osmosis desalination system," Renewable Energy, Elsevier, vol. 91(C), pages 233-248.
    13. Tayerani Charmchi, Amir Saman & Ifaei, Pouya & Yoo, ChangKyoo, 2021. "Smart supply-side management of optimal hydro reservoirs using the water/energy nexus concept: A hydropower pinch analysis," Applied Energy, Elsevier, vol. 281(C).
    14. Mohammad Rozali, Nor Erniza & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Klemeš, Jiří Jaromír, 2016. "Process Integration for Hybrid Power System supply planning and demand management – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 834-842.
    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. Patrizio, P. & Leduc, S. & Chinese, D. & Kraxner, F., 2017. "Internalizing the external costs of biogas supply chains in the Italian energy sector," Energy, Elsevier, vol. 125(C), pages 85-96.
    17. Kong, Karen Gah Hie & How, Bing Shen & Lim, Juin Yau & Leong, Wei Dong & Teng, Sin Yong & Ng, Wendy Pei Qin & Moser, Irene & Sunarso, Jaka, 2022. "Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning," Energy, Elsevier, vol. 239(PD).
    18. András Éles & László Halász & István Heckl & Heriberto Cabezas, 2019. "Evaluation of the Energy Supply Options of a Manufacturing Plant by the Application of the P-Graph Framework," Energies, MDPI, vol. 12(8), pages 1-24, April.
    19. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    20. Nair, Purusothmn Nair S Bhasker & Tan, Raymond R. & Foo, Dominic C.Y., 2022. "Extended graphical approach for the implementation of energy-consuming negative emission technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).

    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:92:y:2015:i:p3:p:373-382. 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.