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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. Hammond, G.P. & Norman, J.B., 2014. "Heat recovery opportunities in UK industry," Applied Energy, Elsevier, vol. 116(C), pages 387-397.
    3. 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.
    4. 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.
    5. 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).
    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. 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.
    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.
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    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. 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).
    3. 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).

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