IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v305y2022ics030626192101148x.html
   My bibliography  Save this article

Combined optimization for retrofitting of heat recovery and thermal energy supply in industrial systems

Author

Listed:
  • Halmschlager, Daniel
  • Beck, Anton
  • Knöttner, Sophie
  • Koller, Martin
  • Hofmann, René

Abstract

Predicting the outcome of possible changes in interlinked industrial energy systems is hard, especially in retrofit scenarios. This leads to severe uncertainties when making investment decisions. In this paper, a new combined optimization approach is presented that aims to support decision-making in these cases. Our approach links models for the optimal design of supply systems and heat recovery systems with operational constraints and is specifically designed for retrofit applications. It is formulated as a single combined mixed-integer linear programming (MILP) problem. The approach is applied in a case study representing a typical industrial process, where the supply system and the heat recovery are adapted. The optimal solution shows a cost-effective way for a transition to more efficient use of energy and an increased share of renewable sources.

Suggested Citation

  • Halmschlager, Daniel & Beck, Anton & Knöttner, Sophie & Koller, Martin & Hofmann, René, 2022. "Combined optimization for retrofitting of heat recovery and thermal energy supply in industrial systems," Applied Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:appene:v:305:y:2022:i:c:s030626192101148x
    DOI: 10.1016/j.apenergy.2021.117820
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192101148X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.117820?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. 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).
    2. Voll, Philip & Lampe, Matthias & Wrobel, Gregor & Bardow, André, 2012. "Superstructure-free synthesis and optimization of distributed industrial energy supply systems," Energy, Elsevier, vol. 45(1), pages 424-435.
    3. Lazzaretto, Andrea & Manente, Giovanni & Toffolo, Andrea, 2018. "SYNTHSEP: A general methodology for the synthesis of energy system configurations beyond superstructures," Energy, Elsevier, vol. 147(C), pages 924-949.
    4. Voorspools, Kris R. & D'haeseleer, William D., 2003. "Long-term Unit Commitment optimisation for large power systems: unit decommitment versus advanced priority listing," Applied Energy, Elsevier, vol. 76(1-3), pages 157-167, September.
    5. Petruschke, Philipp & Gasparovic, Goran & Voll, Philip & Krajačić, Goran & Duić, Neven & Bardow, André, 2014. "A hybrid approach for the efficient synthesis of renewable energy systems," Applied Energy, Elsevier, vol. 135(C), pages 625-633.
    6. Voll, Philip & Klaffke, Carsten & Hennen, Maike & Bardow, André, 2013. "Automated superstructure-based synthesis and optimization of distributed energy supply systems," Energy, Elsevier, vol. 50(C), pages 374-388.
    7. Goh, Wui Seng & Wan, Yoke Kin & Tay, Chun Kiat & Ng, Rex T.L. & Ng, Denny K.S., 2016. "Automated targeting model for synthesis of heat exchanger network with utility systems," Applied Energy, Elsevier, vol. 162(C), pages 1272-1281.
    8. Hammond, G.P. & Norman, J.B., 2014. "Heat recovery opportunities in UK industry," Applied Energy, Elsevier, vol. 116(C), pages 387-397.
    9. C. Gentile & G. Morales-España & A. Ramos, 2017. "A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 177-201, March.
    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. Kasper, Lukas & Pernsteiner, Dominik & Schirrer, Alexander & Jakubek, Stefan & Hofmann, René, 2023. "Experimental characterization, parameter identification and numerical sensitivity analysis of a novel hybrid sensible/latent thermal energy storage prototype for industrial retrofit applications," Applied Energy, Elsevier, vol. 344(C).
    2. Anastasovski, Aleksandar, 2023. "What is needed for transformation of industrial parks into potential positive energy industrial parks? A review," Energy Policy, Elsevier, vol. 173(C).
    3. Wang, Yao & Wang, Qianlong & Yu, Jianlin & Qian, Suxin, 2023. "A heat pump dual temperature display cabinet using natural refrigerants," Applied Energy, Elsevier, vol. 330(PB).
    4. Wu, Wencong & Du, Yuji & Qian, Huijin & Fan, Haibin & Jiang, Zhu & Huang, Shifang & Zhang, Xiaosong, 2024. "Industrial Park low-carbon energy system planning framework: Heat pump based energy conjugation between industry and buildings," Applied Energy, Elsevier, vol. 369(C).

    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. Prebeg, Pero & Gasparovic, Goran & Krajacic, Goran & Duic, Neven, 2016. "Long-term energy planning of Croatian power system using multi-objective optimization with focus on renewable energy and integration of electric vehicles," Applied Energy, Elsevier, vol. 184(C), pages 1493-1507.
    2. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    3. Voll, Philip & Jennings, Mark & Hennen, Maike & Shah, Nilay & Bardow, André, 2015. "The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis," Energy, Elsevier, vol. 82(C), pages 446-456.
    4. Lythcke-Jørgensen, Christoffer & Ensinas, Adriano Viana & Münster, Marie & Haglind, Fredrik, 2016. "A methodology for designing flexible multi-generation systems," Energy, Elsevier, vol. 110(C), pages 34-54.
    5. Capuder, Tomislav & Mancarella, Pierluigi, 2014. "Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options," Energy, Elsevier, vol. 71(C), pages 516-533.
    6. George N. Sakalis & George J. Tzortzis & Christos A. Frangopoulos, 2019. "Intertemporal Static and Dynamic Optimization of Synthesis, Design, and Operation of Integrated Energy Systems of Ships," Energies, MDPI, vol. 12(5), pages 1-50, March.
    7. Urban, Kristof L. & Scheller, Fabian & Bruckner, Thomas, 2021. "Suitability assessment of models in the industrial energy system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    8. Jennings, Mark & Fisk, David & Shah, Nilay, 2014. "Modelling and optimization of retrofitting residential energy systems at the urban scale," Energy, Elsevier, vol. 64(C), pages 220-233.
    9. Bahl, Björn & Lampe, Matthias & Voll, Philip & Bardow, André, 2017. "Optimization-based identification and quantification of demand-side management potential for distributed energy supply systems," Energy, Elsevier, vol. 135(C), pages 889-899.
    10. Lin, Shan & Zhao, Li & Deng, Shuai & Zhao, Dongpeng & Wang, Wei & Chen, Mengchao, 2020. "Intelligent collaborative attainment of structure configuration and fluid selection for the Organic Rankine cycle," Applied Energy, Elsevier, vol. 264(C).
    11. Adamantios G. Papatsounis & Pantelis N. Botsaris, 2022. "Improved Structural Local Thermal Energy Planning Based on Prosumer Profile: Part B," Energies, MDPI, vol. 15(20), pages 1-24, October.
    12. Delarue, E.D. & Ellerman, A.D. & D'haeseleer, W.D., 2010. "Robust MACCs? The topography of abatement by fuel switching in the European power sector," Energy, Elsevier, vol. 35(3), pages 1465-1475.
    13. Sun, Li & Doyle, Stephen & Smith, Robin, 2016. "Understanding steam costs for energy conservation projects," Applied Energy, Elsevier, vol. 161(C), pages 647-655.
    14. 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).
    15. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Sijm, Jos & Faaij, André, 2022. "Detailed spatial analysis of renewables’ potential and heat: A study of Groningen Province in the northern Netherlands," Applied Energy, Elsevier, vol. 318(C).
    16. Bahl, Björn & Kümpel, Alexander & Seele, Hagen & Lampe, Matthias & Bardow, André, 2017. "Time-series aggregation for synthesis problems by bounding error in the objective function," Energy, Elsevier, vol. 135(C), pages 900-912.
    17. Ditl, Pavel, 2022. "Estimating the limits of renewable energy from phytomass," Energy, Elsevier, vol. 238(PC).
    18. Miguel Castro Oliveira & Muriel Iten & Pedro L. Cruz & Helena Monteiro, 2020. "Review on Energy Efficiency Progresses, Technologies and Strategies in the Ceramic Sector Focusing on Waste Heat Recovery," Energies, MDPI, vol. 13(22), pages 1-24, November.
    19. Yang, Linfeng & Li, Wei & Xu, Yan & Zhang, Cuo & Chen, Shifei, 2021. "Two novel locally ideal three-period unit commitment formulations in power systems," Applied Energy, Elsevier, vol. 284(C).
    20. Najafi, Arsalan & Falaghi, Hamid & Contreras, Javier & Ramezani, Maryam, 2016. "Medium-term energy hub management subject to electricity price and wind uncertainty," Applied Energy, Elsevier, vol. 168(C), pages 418-433.

    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:appene:v:305:y:2022:i:c:s030626192101148x. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.