IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v344y2023ics0306261923006116.html
   My bibliography  Save this article

Nonlinear operational optimization of an industrial power-to-heat system with a high temperature heat pump, a thermal energy storage and wind energy

Author

Listed:
  • Walden, Jasper V.M.
  • Bähr, Martin
  • Glade, Anselm
  • Gollasch, Jens
  • Tran, A. Phong
  • Lorenz, Tom

Abstract

The heat demand for industrial processes is often provided in the form of steam generated by various fossil fueled equipment. In order to reduce CO2 emissions, the heat demand has to be covered by renewable energy sources. Electrified steam generation relies on complex energy systems, that can be operated according to energy availability and cost developments. However, such a multi component industrial energy system poses a challenge in modeling and determining the cost- or emission-optimal operation of the system. This study develops a methodology to model a multi component industrial energy system on the basis of a case study. By optimal system operation, either costs or emissions are minimized in response to fluctuating renewable wind energy and electricity prices.

Suggested Citation

  • Walden, Jasper V.M. & Bähr, Martin & Glade, Anselm & Gollasch, Jens & Tran, A. Phong & Lorenz, Tom, 2023. "Nonlinear operational optimization of an industrial power-to-heat system with a high temperature heat pump, a thermal energy storage and wind energy," Applied Energy, Elsevier, vol. 344(C).
    • Handle: RePEc:eee:appene:v:344:y:2023:i:c:s0306261923006116
    DOI: 10.1016/j.apenergy.2023.121247
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923006116
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.121247?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. Bühler, Fabian & Zühlsdorf, Benjamin & Nguyen, Tuong-Van & Elmegaard, Brian, 2019. "A comparative assessment of electrification strategies for industrial sites: Case of milk powder production," Applied Energy, Elsevier, vol. 250(C), pages 1383-1401.
    2. Jing, Z.X. & Jiang, X.S. & Wu, Q.H. & Tang, W.H. & Hua, B., 2014. "Modelling and optimal operation of a small-scale integrated energy based district heating and cooling system," Energy, Elsevier, vol. 73(C), pages 399-415.
    3. Lu, Yuehong & Wang, Shengwei & Sun, Yongjun & Yan, Chengchu, 2015. "Optimal scheduling of buildings with energy generation and thermal energy storage under dynamic electricity pricing using mixed-integer nonlinear programming," Applied Energy, Elsevier, vol. 147(C), pages 49-58.
    4. Clauß, John & Stinner, Sebastian & Sartori, Igor & Georges, Laurent, 2019. "Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating," Applied Energy, Elsevier, vol. 237(C), pages 500-518.
    5. Chen, Chao & Lu, Yangsiyu & Banares-Alcantara, Rene, 2019. "Direct and indirect electrification of chemical industry using methanol production as a case study," Applied Energy, Elsevier, vol. 243(C), pages 71-90.
    6. Yuan Si & Xiang Li & Dongqin Yin & Ronghua Liu & Jiahua Wei & Yuefei Huang & Tiejian Li & Jiahong Liu & Shenglong Gu & Guangqian Wang, 2018. "Evaluating and optimizing the operation of the hydropower system in the Upper Yellow River: A general LINGO-based integrated framework," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-25, January.
    7. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    8. Duan Li & Xiaoling Sun, 2006. "Nonlinear Integer Programming," International Series in Operations Research and Management Science, Springer, number 978-0-387-32995-6, December.
    9. Tian, Zhe & Niu, Jide & Lu, Yakai & He, Shunming & Tian, Xue, 2016. "The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy," Applied Energy, Elsevier, vol. 165(C), pages 430-444.
    10. Liu, Ming & Saman, Wasim & Bruno, Frank, 2012. "Review on storage materials and thermal performance enhancement techniques for high temperature phase change thermal storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2118-2132.
    11. Marina, A. & Spoelstra, S. & Zondag, H.A. & Wemmers, A.K., 2021. "An estimation of the European industrial heat pump market potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    12. Rissman, Jeffrey & Bataille, Chris & Masanet, Eric & Aden, Nate & Morrow, William R. & Zhou, Nan & Elliott, Neal & Dell, Rebecca & Heeren, Niko & Huckestein, Brigitta & Cresko, Joe & Miller, Sabbie A., 2020. "Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070," Applied Energy, Elsevier, vol. 266(C).
    13. Wang, Chengshan & Lv, Chaoxian & Li, Peng & Song, Guanyu & Li, Shuquan & Xu, Xiandong & Wu, Jianzhong, 2018. "Modeling and optimal operation of community integrated energy systems: A case study from China," Applied Energy, Elsevier, vol. 230(C), pages 1242-1254.
    14. Lizarraga-Garcia, Enrique & Ghobeity, Amin & Totten, Mark & Mitsos, Alexander, 2013. "Optimal operation of a solar-thermal power plant with energy storage and electricity buy-back from grid," Energy, Elsevier, vol. 51(C), pages 61-70.
    15. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    16. Zhang, Hao & Cai, Jie & Fang, Kan & Zhao, Fu & Sutherland, John W., 2017. "Operational optimization of a grid-connected factory with onsite photovoltaic and battery storage systems," Applied Energy, Elsevier, vol. 205(C), pages 1538-1547.
    17. Cox, Sam J. & Kim, Dongsu & Cho, Heejin & Mago, Pedro, 2019. "Real time optimal control of district cooling system with thermal energy storage using neural networks," Applied Energy, Elsevier, vol. 238(C), pages 466-480.
    18. Maria Pinamonti & Alessandro Prada & Paolo Baggio, 2020. "Rule-Based Control Strategy to Increase Photovoltaic Self-Consumption of a Modulating Heat Pump Using Water Storages and Building Mass Activation," Energies, MDPI, vol. 13(23), pages 1-21, November.
    19. Rogier Floors & Morten Nielsen, 2019. "Estimating Air Density Using Observations and Re-Analysis Outputs for Wind Energy Purposes," Energies, MDPI, vol. 12(11), pages 1-12, May.
    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. Yanjuan Yu & Guohua Zhou & Kena Wu & Cheng Chen & Qiang Bian, 2023. "Optimal Configuration of Power-to-Heat Equipment Considering Peak-Shaving Ancillary Service Market," Energies, MDPI, vol. 16(19), pages 1-18, September.
    2. Javier Iñigo-Labairu & Jürgen Dersch & Tobias Hirsch & Stefano Giuliano & Matthias Loevenich & Diego Córdoba, 2024. "Techno-Economic Evaluation of CSP–PV Hybrid Plants with Heat Pump in a Temperature Booster Configuration," Energies, MDPI, vol. 17(11), pages 1-20, May.
    3. Jouhara, Hussam & Żabnieńska-Góra, Alina & Delpech, Bertrand & Olabi, Valentina & El Samad, Tala & Sayma, Abdulnaser, 2024. "High-temperature heat pumps: Fundamentals, modelling approaches and applications," Energy, Elsevier, vol. 303(C).
    4. Knorr, Lukas & Schlosser, Florian & Horstmann, Nils & Divkovic, Denis & Meschede, Henning, 2024. "Flexible operation and integration of high-temperature heat pumps using large temperature glides," Applied Energy, Elsevier, vol. 368(C).
    5. Eric Pilling & Martin Bahr & Ralf Wunderlich, 2024. "Stochastic Optimal Control of an Industrial Power-to-Heat System with High-Temperature Heat Pump and Thermal Energy Storage," Papers 2411.02211, arXiv.org.
    6. 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. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    2. Deng, Na & Cai, Rongchang & Gao, Yuan & Zhou, Zhihua & He, Guansong & Liu, Dongyi & Zhang, Awen, 2017. "A MINLP model of optimal scheduling for a district heating and cooling system: A case study of an energy station in Tianjin," Energy, Elsevier, vol. 141(C), pages 1750-1763.
    3. Cui, Chengtian & Qi, Meng & Zhang, Xiaodong & Sun, Jinsheng & Li, Qing & Kiss, Anton A. & Wong, David Shan-Hill & Masuku, Cornelius M. & Lee, Moonyong, 2024. "Electrification of distillation for decarbonization: An overview and perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    4. Liu, Fang & Mo, Qiu & Yang, Yongwen & Li, Pai & Wang, Shuai & Xu, Yanping, 2022. "A nonlinear model-based dynamic optimal scheduling of a grid-connected integrated energy system," Energy, Elsevier, vol. 243(C).
    5. Cheng, Yaohua & Zhang, Ning & Kirschen, Daniel S. & Huang, Wujing & Kang, Chongqing, 2020. "Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China," Applied Energy, Elsevier, vol. 261(C).
    6. Gianluca Valenti & Aldo Bischi & Stefano Campanari & Paolo Silva & Antonino Ravidà & Ennio Macchi, 2021. "Experimental and Numerical Study of a Microcogeneration Stirling Unit under On–Off Cycling Operation," Energies, MDPI, vol. 14(4), pages 1-14, February.
    7. Zheng, Xuyue & Wu, Guoce & Qiu, Yuwei & Zhan, Xiangyan & Shah, Nilay & Li, Ning & Zhao, Yingru, 2018. "A MINLP multi-objective optimization model for operational planning of a case study CCHP system in urban China," Applied Energy, Elsevier, vol. 210(C), pages 1126-1140.
    8. Wirtz, Marco & Kivilip, Lukas & Remmen, Peter & Müller, Dirk, 2020. "5th Generation District Heating: A novel design approach based on mathematical optimization," Applied Energy, Elsevier, vol. 260(C).
    9. Wu, Chenyu & Gu, Wei & Xu, Yinliang & Jiang, Ping & Lu, Shuai & Zhao, Bo, 2018. "Bi-level optimization model for integrated energy system considering the thermal comfort of heat customers," Applied Energy, Elsevier, vol. 232(C), pages 607-616.
    10. Svitnič, Tibor & Sundmacher, Kai, 2022. "Renewable methanol production: Optimization-based design, scheduling and waste-heat utilization with the FluxMax approach," Applied Energy, Elsevier, vol. 326(C).
    11. Lincoln, Benjamin James & Kong, Lana & Pineda, Alyssa Mae & Walmsley, Timothy Gordon, 2022. "Process integration and electrification for efficient milk evaporation systems," Energy, Elsevier, vol. 258(C).
    12. Deng, Na & He, Guansong & Gao, Yuan & Yang, Bin & Zhao, Jun & He, Shunming & Tian, Xue, 2017. "Comparative analysis of optimal operation strategies for district heating and cooling system based on design and actual load," Applied Energy, Elsevier, vol. 205(C), pages 577-588.
    13. Ersoz, Ibrahim & Colak, Uner, 2016. "Combined cooling, heat and power planning under uncertainty," Energy, Elsevier, vol. 109(C), pages 1016-1025.
    14. Tian, Zhe & Niu, Jide & Lu, Yakai & He, Shunming & Tian, Xue, 2016. "The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy," Applied Energy, Elsevier, vol. 165(C), pages 430-444.
    15. Layritz, Lucia S. & Dolganova, Iulia & Finkbeiner, Matthias & Luderer, Gunnar & Penteado, Alberto T. & Ueckerdt, Falko & Repke, Jens-Uwe, 2021. "The potential of direct steam cracker electrification and carbon capture & utilization via oxidative coupling of methane as decarbonization strategies for ethylene production," Applied Energy, Elsevier, vol. 296(C).
    16. Melchiorre Casisi & Stefano Costanzo & Piero Pinamonti & Mauro Reini, 2018. "Two-Level Evolutionary Multi-objective Optimization of a District Heating System with Distributed Cogeneration," Energies, MDPI, vol. 12(1), pages 1-23, December.
    17. Afzali, Sayyed Faridoddin & Cotton, James S. & Mahalec, Vladimir, 2020. "Urban community energy systems design under uncertainty for specified levels of carbon dioxide emissions," Applied Energy, Elsevier, vol. 259(C).
    18. Lago, Jesus & De Ridder, Fjo & Mazairac, Wiet & De Schutter, Bart, 2019. "A 1-dimensional continuous and smooth model for thermally stratified storage tanks including mixing and buoyancy," Applied Energy, Elsevier, vol. 248(C), pages 640-655.
    19. Lizarraga-Garcia, Enrique & Mitsos, Alexander, 2014. "Effect of heat transfer structures on thermoeconomic performance of solid thermal storage," Energy, Elsevier, vol. 68(C), pages 896-909.
    20. Fiorentini, Massimo & Heer, Philipp & Baldini, Luca, 2023. "Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage," Energy, Elsevier, vol. 262(PB).

    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:344:y:2023:i:c:s0306261923006116. 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.