IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v234y2021ics0360544221014481.html
   My bibliography  Save this article

Thermal energy storage sizing for industrial waste-heat utilization in district heating: A model predictive control approach

Author

Listed:
  • Knudsen, Brage Rugstad
  • Rohde, Daniel
  • Kauko, Hanne

Abstract

Thermal energy storage (TES) is a key technology for enabling increased utilization of industrial waste heat in district heating. The ability of TES to equalize offsets in demand and supply depends strongly on the sizing, control and integration in a heating plant. We consider the problem of sizing TES in heating plants utilizing a varying waste-heat source. To this end, we propose a combined dynamic simulation and model predictive control approach that accounts for the dynamics and optimal control of the heating plant with TES. A case study has been carried out on a district-heating plant located in Norway, with 90% of its annual heat production being heat recovered from the off-gas from a ferrosilicon plant. We evaluate the effective peak-heating reduction with different TES sizes and the energy-to-heat-flow-ratio for the TES discharging periods as performance metrics. For the case study, our results suggest that a modest TES tank volume of 1500 m3 is sufficient to achieve a half-year peak-heating reduction of 12% and comparable performance with larger volumes. The proposed methodology constitutes a numerically tractable means of incorporating the impact of model predictive control on the sizing of TES for heating plants with time-varying waste-heat supply and demand.

Suggested Citation

  • Knudsen, Brage Rugstad & Rohde, Daniel & Kauko, Hanne, 2021. "Thermal energy storage sizing for industrial waste-heat utilization in district heating: A model predictive control approach," Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221014481
    DOI: 10.1016/j.energy.2021.121200
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221014481
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121200?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. Cao, Muwen & Cao, Jiacong, 2006. "Optimal design of thermal-energy stores for boiler plants," Applied Energy, Elsevier, vol. 83(1), pages 55-68, January.
    2. Wheatcroft, Edward & Wynn, Henry P. & Lygnerud, Kristina & Bonvicini, Giorgio & Bonvicini, Giorgio & Lenote, Daniela, 2020. "The role of low temperature waste heat recovery in achieving 2050 goals: a policy positioning paper," LSE Research Online Documents on Economics 104136, London School of Economics and Political Science, LSE Library.
    3. Badami, Marco & Fonti, Antonio & Carpignano, Andrea & Grosso, Daniele, 2018. "Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach," Energy, Elsevier, vol. 144(C), pages 826-838.
    4. Schweiger, Gerald & Larsson, Per-Ola & Magnusson, Fredrik & Lauenburg, Patrick & Velut, Stéphane, 2017. "District heating and cooling systems – Framework for Modelica-based simulation and dynamic optimization," Energy, Elsevier, vol. 137(C), pages 566-578.
    5. Guelpa, Elisa & Marincioni, Ludovica & Capone, Martina & Deputato, Stefania & Verda, Vittorio, 2019. "Thermal load prediction in district heating systems," Energy, Elsevier, vol. 176(C), pages 693-703.
    6. Simeoni, Patrizia & Nardin, Gioacchino & Ciotti, Gellio, 2018. "Planning and design of sustainable smart multi energy systems. The case of a food industrial district in Italy," Energy, Elsevier, vol. 163(C), pages 443-456.
    7. Hanne Kauko & Daniel Rohde & Brage Rugstad Knudsen & Terje Sund-Olsen, 2020. "Potential of Thermal Energy Storage for a District Heating System Utilizing Industrial Waste Heat," Energies, MDPI, vol. 13(15), pages 1-12, July.
    8. Li, Haoran & Hou, Juan & Hong, Tianzhen & Ding, Yuemin & Nord, Natasa, 2021. "Energy, economic, and environmental analysis of integration of thermal energy storage into district heating systems using waste heat from data centres," Energy, Elsevier, vol. 219(C).
    9. van der Heijde, Bram & Vandermeulen, Annelies & Salenbien, Robbe & Helsen, Lieve, 2019. "Representative days selection for district energy system optimisation: a solar district heating system with seasonal storage," Applied Energy, Elsevier, vol. 248(C), pages 79-94.
    10. Persson, U. & Möller, B. & Werner, S., 2014. "Heat Roadmap Europe: Identifying strategic heat synergy regions," Energy Policy, Elsevier, vol. 74(C), pages 663-681.
    11. Edward Wheatcroft & Henry Wynn & Kristina Lygnerud & Giorgio Bonvicini & Daniela Leonte, 2020. "The Role of Low Temperature Waste Heat Recovery in Achieving 2050 Goals: A Policy Positioning Paper," Energies, MDPI, vol. 13(8), pages 1-19, April.
    12. Eligius M. T. Hendrix & Boglárka G.-Tóth, 2010. "Nonlinear Programming algorithms," Springer Optimization and Its Applications, in: Introduction to Nonlinear and Global Optimization, chapter 5, pages 91-136, Springer.
    13. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
    14. Martínez-Lera, S. & Ballester, J. & Martínez-Lera, J., 2013. "Analysis and sizing of thermal energy storage in combined heating, cooling and power plants for buildings," Applied Energy, Elsevier, vol. 106(C), pages 127-142.
    15. Guelpa, Elisa & Verda, Vittorio, 2019. "Thermal energy storage in district heating and cooling systems: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    16. Miró, Laia & Brückner, Sarah & Cabeza, Luisa F., 2015. "Mapping and discussing Industrial Waste Heat (IWH) potentials for different countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 847-855.
    17. Simeoni, Patrizia & Ciotti, Gellio & Cottes, Mattia & Meneghetti, Antonella, 2019. "Integrating industrial waste heat recovery into sustainable smart energy systems," Energy, Elsevier, vol. 175(C), pages 941-951.
    18. Das, Choton K. & Bass, Octavian & Kothapalli, Ganesh & Mahmoud, Thair S. & Habibi, Daryoush, 2018. "Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1205-1230.
    19. Pérez-Iribarren, E. & González-Pino, I. & Azkorra-Larrinaga, Z. & Gómez-Arriarán, I., 2020. "Optimal design and operation of thermal energy storage systems in micro-cogeneration plants," Applied Energy, Elsevier, vol. 265(C).
    20. Brage Rugstad Knudsen & Hanne Kauko & Trond Andresen, 2019. "An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters," Energies, MDPI, vol. 12(10), pages 1-22, 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. Nakama, Caroline S.M. & Knudsen, Brage R. & Tysland, Agnes C. & Jäschke, Johannes, 2023. "A simple dynamic optimization-based approach for sizing thermal energy storage using process data," Energy, Elsevier, vol. 268(C).
    2. Hou, Juan & Li, Haoran & Nord, Natasa & Huang, Gongsheng, 2023. "Model predictive control for a university heat prosumer with data centre waste heat and thermal energy storage," Energy, Elsevier, vol. 267(C).
    3. Brown, Alastair & Foley, Aoife & Laverty, David & McLoone, Seán & Keatley, Patrick, 2022. "Heating and cooling networks: A comprehensive review of modelling approaches to map future directions," Energy, Elsevier, vol. 261(PB).
    4. Simon Moser & Gabriela Jauschnik, 2023. "Using Industrial Waste Heat in District Heating: Insights on Effective Project Initiation and Business Models," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    5. Leonidas Zouloumis & Angelos Karanasos & Nikolaos Ploskas & Giorgos Panaras, 2023. "Multicriteria Design and Operation Optimization of a Solar-Assisted Geothermal Heat Pump System," Energies, MDPI, vol. 16(3), pages 1-16, January.
    6. Han, Gwangwoo & Joo, Hong-Jin & Lim, Hee-Won & An, Young-Sub & Lee, Wang-Je & Lee, Kyoung-Ho, 2023. "Data-driven heat pump operation strategy using rainbow deep reinforcement learning for significant reduction of electricity cost," Energy, Elsevier, vol. 270(C).
    7. Liu, Haoran & Yu, Jiaqi & Wang, Ruzhu, 2022. "Model predictive control of portable electronic devices under skin temperature constraints," Energy, Elsevier, vol. 260(C).
    8. Ziemele, Jelena & Dace, Elina, 2022. "An analytical framework for assessing the integration of the waste heat into a district heating system: Case of the city of Riga," Energy, Elsevier, vol. 254(PB).

    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. Nakama, Caroline S.M. & Knudsen, Brage R. & Tysland, Agnes C. & Jäschke, Johannes, 2023. "A simple dynamic optimization-based approach for sizing thermal energy storage using process data," Energy, Elsevier, vol. 268(C).
    2. Hrvoje Dorotić & Kristijan Čuljak & Josip Miškić & Tomislav Pukšec & Neven Duić, 2022. "Technical and Economic Assessment of Supermarket and Power Substation Waste Heat Integration into Existing District Heating Systems," Energies, MDPI, vol. 15(5), pages 1-29, February.
    3. Mengting Jiang & Camilo Rindt & David M. J. Smeulders, 2022. "Optimal Planning of Future District Heating Systems—A Review," Energies, MDPI, vol. 15(19), pages 1-38, September.
    4. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    5. Vandermeulen, Annelies & Van Oevelen, Tijs & van der Heijde, Bram & Helsen, Lieve, 2020. "A simulation-based evaluation of substation models for network flexibility characterisation in district heating networks," Energy, Elsevier, vol. 201(C).
    6. Bühler, Fabian & Petrović, Stefan & Karlsson, Kenneth & Elmegaard, Brian, 2017. "Industrial excess heat for district heating in Denmark," Applied Energy, Elsevier, vol. 205(C), pages 991-1001.
    7. Hong, Gui-Bing & Pan, Tze-Chin & Chan, David Yih-Liang & Liu, I-Hung, 2020. "Bottom-up analysis of industrial waste heat potential in Taiwan," Energy, Elsevier, vol. 198(C).
    8. Brage Rugstad Knudsen & Hanne Kauko & Trond Andresen, 2019. "An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters," Energies, MDPI, vol. 12(10), pages 1-22, May.
    9. Danica Djurić Ilić, 2020. "Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review," Energies, MDPI, vol. 14(1), pages 1-27, December.
    10. Luo, Ao & Fang, Hao & Xia, Jianjun & Lin, Borong & jiang, Yi, 2017. "Mapping potentials of low-grade industrial waste heat in Northern China," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 335-348.
    11. Stanislav Chicherin & Vladislav Mašatin & Andres Siirde & Anna Volkova, 2020. "Method for Assessing Heat Loss in A District Heating Network with A Focus on the State of Insulation and Actual Demand for Useful Energy," Energies, MDPI, vol. 13(17), pages 1-15, September.
    12. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    13. Bartolini, Andrea & Mazzoni, Stefano & Comodi, Gabriele & Romagnoli, Alessandro, 2021. "Impact of carbon pricing on distributed energy systems planning," Applied Energy, Elsevier, vol. 301(C).
    14. Mattia Cottes & Matia Mainardis & Daniele Goi & Patrizia Simeoni, 2020. "Demand-Response Application in Wastewater Treatment Plants Using Compressed Air Storage System: A Modelling Approach," Energies, MDPI, vol. 13(18), pages 1-15, September.
    15. Miriam Benedetti & Daniele Dadi & Lorena Giordano & Vito Introna & Pasquale Eduardo Lapenna & Annalisa Santolamazza, 2021. "Design of a Database of Case Studies and Technologies to Increase the Diffusion of Low-Temperature Waste Heat Recovery in the Industrial Sector," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
    16. Haoran Ju & Yongxue Wang & Yiwu Feng & Lijun Zheng, 2024. "Numerical Study on Peak Shaving Performance of Combined Heat and Power Unit Assisted by Heating Storage in Long-Distance Pipelines Scheduled by Particle Swarm Optimization Method," Energies, MDPI, vol. 17(2), pages 1-18, January.
    17. Benalcazar, Pablo, 2021. "Optimal sizing of thermal energy storage systems for CHP plants considering specific investment costs: A case study," Energy, Elsevier, vol. 234(C).
    18. Pipiciello, Mauro & Caldera, Matteo & Cozzini, Marco & Ancona, Maria A. & Melino, Francesco & Di Pietra, Biagio, 2021. "Experimental characterization of a prototype of bidirectional substation for district heating with thermal prosumers," Energy, Elsevier, vol. 223(C).
    19. Lygnerud, Kristina & Werner, Sven, 2018. "Risk assessment of industrial excess heat recovery in district heating systems," Energy, Elsevier, vol. 151(C), pages 430-441.
    20. Franz Zach & Florian Kretschmer & Gernot Stoeglehner, 2019. "Integrating Energy Demand and Local Renewable Energy Sources in Smart Urban Development Zones: New Options for Climate-Friendly Resilient Urban Planning," Energies, MDPI, vol. 12(19), pages 1-28, September.

    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:234:y:2021:i:c:s0360544221014481. 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.