IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i4p958-d323268.html
   My bibliography  Save this article

Studying the Role of System Aggregation in Energy Targeting: A Case Study of a Swedish Oil Refinery

Author

Listed:
  • Elin Svensson

    (CIT Industriell Energi AB, Sven Hultins plats 1, 412 58 Göteborg, Sweden)

  • Matteo Morandin

    (Division of Energy Technology, Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Göteborg, Sweden)

  • Simon Harvey

    (Division of Energy Technology, Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Göteborg, Sweden)

  • Stavros Papadokonstantakis

    (Division of Energy Technology, Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Göteborg, Sweden)

Abstract

The definition of appropriate energy targets for large industrial processes is a difficult task since operability, safety and plant layout aspects represent important limitations to direct process integration. The role of heat exchange limitations in the definition of appropriate energy targets for large process sites was studied in this work. A computational framework was used which allows to estimate the optimal distribution of process stream heat loads in different subsystems and to select and size a site wide utility system. A complex Swedish refinery site is used as a case study. Various system aggregations, representing different patterns of heat exchange limitations between process units and utility configurations were explored to identify trade-offs and bottlenecks for energy saving opportunities. The results show that in spite of the aforementioned limitations direct heat integration still plays a significant role for the refinery energy efficiency. For example, the targeted hot utility demand is reduced by 50–65% by allowing process-to-process heat exchange within process units even when a steam utility system is available for indirect heat recovery. Furthermore, it was found that direct process heat integration is motivated primarily at process unit level, since the heat savings that can be achieved by allowing direct heat recovery between adjacent process units (25–42%) are in the same range as those that can be obtained by combining unit process-to-process integration with site-wide indirect heat recovery via the steam system (27–42%).

Suggested Citation

  • Elin Svensson & Matteo Morandin & Simon Harvey & Stavros Papadokonstantakis, 2020. "Studying the Role of System Aggregation in Energy Targeting: A Case Study of a Swedish Oil Refinery," Energies, MDPI, vol. 13(4), pages 1-28, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:958-:d:323268
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/4/958/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/4/958/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Liew, Peng Yen & Theo, Wai Lip & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abdul Manan, Zainuddin & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2017. "Total Site Heat Integration planning and design for industrial, urban and renewable systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 964-985.
    3. Stijepovic, Mirko Z. & Linke, Patrick, 2011. "Optimal waste heat recovery and reuse in industrial zones," Energy, Elsevier, vol. 36(7), pages 4019-4031.
    4. Wang, Yufei & Chang, Chenglin & Feng, Xiao, 2015. "A systematic framework for multi-plants Heat Integration combining Direct and Indirect Heat Integration methods," Energy, Elsevier, vol. 90(P1), pages 56-67.
    5. Khairulnadzmi Jamaluddin & Sharifah Rafidah Wan Alwi & Zainuddin Abdul Manan & Khaidzir Hamzah & Jiří Jaromír Klemeš, 2019. "A Process Integration Method for Total Site Cooling, Heating and Power Optimisation with Trigeneration Systems," Energies, MDPI, vol. 12(6), pages 1-34, March.
    6. Tarighaleslami, Amir H. & Walmsley, Timothy G. & Atkins, Martin J. & Walmsley, Michael R.W. & Liew, Peng Yen & Neale, James R., 2017. "A Unified Total Site Heat Integration targeting method for isothermal and non-isothermal utilities," Energy, Elsevier, vol. 119(C), pages 10-25.
    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. Miroslav Variny & Kristián Hanus & Marek Blahušiak & Patrik Furda & Peter Illés & Ján Janošovský, 2021. "Energy and Environmental Assessment of Steam Management Optimization in an Ethylene Plant," IJERPH, MDPI, vol. 18(22), pages 1-17, November.
    2. Biermann, Maximilian & Langner, Christian & Roussanaly, Simon & Normann, Fredrik & Harvey, Simon, 2022. "The role of energy supply in abatement cost curves for CO2 capture from process industry – A case study of a Swedish refinery," Applied Energy, Elsevier, vol. 319(C).
    3. Andrea Liberale Rispoli & Giacomo Rispoli & Nicola Verdone & Annarita Salladini & Emanuela Agostini & Mirko Boccacci & Maria Paola Parisi & Barbara Mazzarotta & Giorgio Vilardi, 2021. "The Electrification of Conventional Industrial Processes: The Use of Mechanical Vapor Compression in an EtOH–Water Distillation Tower," Energies, MDPI, vol. 14(21), pages 1-18, November.

    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. Lee, Peoy Ying & Liew, Peng Yen & Walmsley, Timothy Gordon & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2020. "Total Site Heat and Power Integration for Locally Integrated Energy Sectors," Energy, Elsevier, vol. 204(C).
    2. 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.
    3. Jin, Yuhui & Chang, Chuei-Tin & Li, Shaojun & Jiang, Da, 2018. "On the use of risk-based Shapley values for cost sharing in interplant heat integration programs," Applied Energy, Elsevier, vol. 211(C), pages 904-920.
    4. Song, Runrun & Tang, Qikui & Wang, Yufei & Feng, Xiao & El-Halwagi, Mahmoud M., 2017. "The implementation of inter-plant heat integration among multiple plants. Part I: A novel screening algorithm," Energy, Elsevier, vol. 140(P1), pages 1018-1029.
    5. Chang, Hao-Hsuan & Chang, Chuei-Tin & Li, Bao-Hong, 2018. "Game-theory based optimization strategies for stepwise development of indirect interplant heat integration plans," Energy, Elsevier, vol. 148(C), pages 90-111.
    6. Zhang, Bing J. & Tang, Qiao Q. & Zhao, Yue & Chen, Yu Q. & Chen, Qing L. & Floudas, Christodoulos A., 2018. "Multi-level energy integration between units, plants and sites for natural gas industrial parks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 1-15.
    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. Maziar Kermani & Ivan D. Kantor & Anna S. Wallerand & Julia Granacher & Adriano V. Ensinas & François Maréchal, 2019. "A Holistic Methodology for Optimizing Industrial Resource Efficiency," Energies, MDPI, vol. 12(7), pages 1-33, April.
    9. Faramarzi, Simin & Tahouni, Nassim & Panjeshahi, M. Hassan, 2022. "Pressure drop optimization in Total Site targeting - A more realistic approach to energy- capital trade-off," Energy, Elsevier, vol. 251(C).
    10. Chang, Chenglin & Wang, Yufei & Ma, Jiaze & Chen, Xiaolu & Feng, Xiao, 2018. "An energy hub approach for direct interplant heat integration," Energy, Elsevier, vol. 159(C), pages 878-890.
    11. Jiří Jaromír Klemeš & Petar Sabev Varbanov & Paweł Ocłoń & Hon Huin Chin, 2019. "Towards Efficient and Clean Process Integration: Utilisation of Renewable Resources and Energy-Saving Technologies," Energies, MDPI, vol. 12(21), pages 1-32, October.
    12. 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.
    13. Trafczynski, Marian & Markowski, Mariusz & Urbaniec, Krzysztof, 2019. "Energy saving potential of a simple control strategy for heat exchanger network operation under fouling conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 355-364.
    14. Bertrand, Alexandre & Mian, Alberto & Kantor, Ivan & Aggoune, Riad & Maréchal, François, 2019. "Regional waste heat valorisation: A mixed integer linear programming method for energy service companies," Energy, Elsevier, vol. 167(C), pages 454-468.
    15. Hür Bütün & Ivan Kantor & François Maréchal, 2019. "Incorporating Location Aspects in Process Integration Methodology," Energies, MDPI, vol. 12(17), pages 1-45, August.
    16. Matthias Rathjens & Georg Fieg, 2019. "Cost-Optimal Heat Exchanger Network Synthesis Based on a Flexible Cost Functions Framework," Energies, MDPI, vol. 12(5), pages 1-18, February.
    17. Chang, Chenglin & Chen, Xiaolu & Wang, Yufei & Feng, Xiao, 2017. "Simultaneous optimization of multi-plant heat integration using intermediate fluid circles," Energy, Elsevier, vol. 121(C), pages 306-317.
    18. Yong, Wen Ni & Liew, Peng Yen & Woon, Kok Sin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2021. "A pinch-based multi-energy targeting framework for combined chilling heating power microgrid of urban-industrial symbiosis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    19. 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.
    20. Diban, Pitchaimuthu & Foo, Dominic C.Y., 2019. "A pinch-based automated targeting technique for heating medium system," Energy, Elsevier, vol. 166(C), pages 193-212.

    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:gam:jeners:v:13:y:2020:i:4:p:958-:d:323268. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.