IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i9p1678-d228022.html
   My bibliography  Save this article

The Impact of Optimal Demand Response Control and Thermal Energy Storage on a District Heating System

Author

Listed:
  • Sonja Salo

    (Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Helsinki, Finland
    Fourdeg Ltd., Kalevankatu 13a, 00100 Helsinki, Finland)

  • Aira Hast

    (Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Helsinki, Finland)

  • Juha Jokisalo

    (Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Helsinki, Finland)

  • Risto Kosonen

    (Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Helsinki, Finland
    College of Urban Construction, Nanjing Tech University, Nanjing 210094, China)

  • Sanna Syri

    (Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Helsinki, Finland)

  • Janne Hirvonen

    (Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Helsinki, Finland)

  • Kristian Martin

    (Department of Mechanical Engineering, School of Engineering, Aalto University, 02150 Helsinki, Finland)

Abstract

Demand response has been studied in district heating connected buildings since the rollout of smart, communicating devices has made it cost-effective to control buildings’ energy consumption externally. This research investigates optimal demand response control strategies from the district heating operator perspective. Based on earlier simulations on the building level, different case algorithms were simulated on a typical district heating system. The results show that even in the best case, heat production costs can be decreased by only 0.7%. However, by implementing hot water thermal storage in the system, demand response can become more profitable, resulting in 1.4% cost savings. It is concluded that the hot water storage tank can balance district heating peak loads for longer periods of time, which enhances the ability to use demand response strategies on a larger share of the building stock.

Suggested Citation

  • Sonja Salo & Aira Hast & Juha Jokisalo & Risto Kosonen & Sanna Syri & Janne Hirvonen & Kristian Martin, 2019. "The Impact of Optimal Demand Response Control and Thermal Energy Storage on a District Heating System," Energies, MDPI, vol. 12(9), pages 1-19, May.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1678-:d:228022
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/9/1678/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/9/1678/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Le Dréau, J. & Heiselberg, P., 2016. "Energy flexibility of residential buildings using short term heat storage in the thermal mass," Energy, Elsevier, vol. 111(C), pages 991-1002.
    2. Gadd, Henrik & Werner, Sven, 2013. "Daily heat load variations in Swedish district heating systems," Applied Energy, Elsevier, vol. 106(C), pages 47-55.
    3. Dominković, D.F. & Gianniou, P. & Münster, M. & Heller, A. & Rode, C., 2018. "Utilizing thermal building mass for storage in district heating systems: Combined building level simulations and system level optimization," Energy, Elsevier, vol. 153(C), pages 949-966.
    4. Difs, Kristina & Bennstam, Marcus & Trygg, Louise & Nordenstam, Lena, 2010. "Energy conservation measures in buildings heated by district heating – A local energy system perspective," Energy, Elsevier, vol. 35(8), pages 3194-3203.
    5. Alimohammadisagvand, Behrang & Jokisalo, Juha & Sirén, Kai, 2018. "Comparison of four rule-based demand response control algorithms in an electrically and heat pump-heated residential building," Applied Energy, Elsevier, vol. 209(C), pages 167-179.
    6. Kaisa Kontu & Jussi Vimpari & Petri Penttinen & Seppo Junnila, 2018. "City Scale Demand Side Management in Three Different-Sized District Heating Systems," Energies, MDPI, vol. 11(12), pages 1-18, December.
    7. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    8. Hast, Aira & Rinne, Samuli & Syri, Sanna & Kiviluoma, Juha, 2017. "The role of heat storages in facilitating the adaptation of district heating systems to large amount of variable renewable electricity," Energy, Elsevier, vol. 137(C), pages 775-788.
    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. Guelpa, Elisa & Verda, Vittorio, 2021. "Demand response and other demand side management techniques for district heating: A review," Energy, Elsevier, vol. 219(C).
    2. Pylsy, Petri & Lylykangas, Kimmo & Kurnitski, Jarek, 2020. "Buildings’ energy efficiency measures effect on CO2 emissions in combined heating, cooling and electricity production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    3. Guelpa, Elisa & Marincioni, Ludovica, 2019. "Demand side management in district heating systems by innovative control," Energy, Elsevier, vol. 188(C).
    4. Tomasz Janusz Teleszewski & Dorota Anna Krawczyk & Antonio Rodero, 2019. "Reduction of Heat Losses Using Quadruple Heating Pre-Insulated Networks: A Case Study," Energies, MDPI, vol. 12(24), pages 1-12, December.
    5. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Reduction of Heat Losses in a Pre-Insulated Network Located in Central Poland by Lowering the Operating Temperature of the Water and the Use of Egg-shaped Thermal Insulation: A Case Study," Energies, MDPI, vol. 12(11), pages 1-12, June.
    6. Oana Marin & Tudor Cioara & Ionut Anghel, 2023. "Blockchain Solution for Buildings’ Multi-Energy Flexibility Trading Using Multi-Token Standards," Future Internet, MDPI, vol. 15(5), pages 1-17, May.
    7. Janne Suhonen & Juha Jokisalo & Risto Kosonen & Ville Kauppi & Yuchen Ju & Philipp Janßen, 2020. "Demand Response Control of Space Heating in Three Different Building Types in Finland and Germany," Energies, MDPI, vol. 13(23), pages 1-35, November.
    8. Capone, Martina & Guelpa, Elisa & Mancò, Giulia & Verda, Vittorio, 2021. "Integration of storage and thermal demand response to unlock flexibility in district multi-energy systems," Energy, Elsevier, vol. 237(C).
    9. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.

    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. Salo, Sonja & Jokisalo, Juha & Syri, Sanna & Kosonen, Risto, 2019. "Individual temperature control on demand response in a district heated office building in Finland," Energy, Elsevier, vol. 180(C), pages 946-954.
    2. Kaisa Kontu & Jussi Vimpari & Petri Penttinen & Seppo Junnila, 2018. "City Scale Demand Side Management in Three Different-Sized District Heating Systems," Energies, MDPI, vol. 11(12), pages 1-18, December.
    3. Janne Suhonen & Juha Jokisalo & Risto Kosonen & Ville Kauppi & Yuchen Ju & Philipp Janßen, 2020. "Demand Response Control of Space Heating in Three Different Building Types in Finland and Germany," Energies, MDPI, vol. 13(23), pages 1-35, November.
    4. 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.
    5. 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.
    6. Dmytro Romanchenko & Emil Nyholm & Mikael Odenberger & Filip Johnsson, 2019. "Flexibility Potential of Space Heating Demand Response in Buildings for District Heating Systems," Energies, MDPI, vol. 12(15), pages 1-23, July.
    7. Guelpa, Elisa, 2021. "Impact of thermal masses on the peak load in district heating systems," Energy, Elsevier, vol. 214(C).
    8. Gao, Datong & Zhao, Bin & Kwan, Trevor Hocksun & Hao, Yong & Pei, Gang, 2022. "The spatial and temporal mismatch phenomenon in solar space heating applications: status and solutions," Applied Energy, Elsevier, vol. 321(C).
    9. Østergaard, Poul Alberg & Andersen, Anders N., 2021. "Variable taxes promoting district heating heat pump flexibility," Energy, Elsevier, vol. 221(C).
    10. Kensby, Johan & Trüschel, Anders & Dalenbäck, Jan-Olof, 2015. "Potential of residential buildings as thermal energy storage in district heating systems – Results from a pilot test," Applied Energy, Elsevier, vol. 137(C), pages 773-781.
    11. Hou, Juan & Li, Haoran & Nord, Natasa, 2022. "Nonlinear model predictive control for the space heating system of a university building in Norway," Energy, Elsevier, vol. 253(C).
    12. Shamshirband, Shahaboddin & Petković, Dalibor & Enayatifar, Rasul & Hanan Abdullah, Abdul & Marković, Dušan & Lee, Malrey & Ahmad, Rodina, 2015. "Heat load prediction in district heating systems with adaptive neuro-fuzzy method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 760-767.
    13. Knudsen, Michael Dahl & Georges, Laurent & Skeie, Kristian Stenerud & Petersen, Steffen, 2021. "Experimental test of a black-box economic model predictive control for residential space heating," Applied Energy, Elsevier, vol. 298(C).
    14. Hassam ur Rehman & Ala Hasan, 2023. "Energy Flexibility and towards Resilience in New and Old Residential Houses in Cold Climates: A Techno-Economic Analysis," Energies, MDPI, vol. 16(14), pages 1-30, July.
    15. Guo, Jiwei & Dong, Jiankai & Wang, Hongjue & Wang, Yuan & Zou, Bin & Jiang, Yiqiang, 2022. "Study on the demand response potential of an actively ventilated building: Parametric and scenario analysis," Energy, Elsevier, vol. 238(PC).
    16. John Clauß & Sebastian Stinner & Christian Solli & Karen Byskov Lindberg & Henrik Madsen & Laurent Georges, 2019. "Evaluation Method for the Hourly Average CO 2eq. Intensity of the Electricity Mix and Its Application to the Demand Response of Residential Heating," Energies, MDPI, vol. 12(7), pages 1-25, April.
    17. Zhu, K. & Victoria, M. & Andresen, G.B. & Greiner, M., 2020. "Impact of climatic, technical and economic uncertainties on the optimal design of a coupled fossil-free electricity, heating and cooling system in Europe," Applied Energy, Elsevier, vol. 262(C).
    18. Jack, M.W. & Mirfin, A. & Anderson, B., 2021. "The role of highly energy-efficient dwellings in enabling 100% renewable electricity," Energy Policy, Elsevier, vol. 158(C).
    19. Johra, Hicham & Filonenko, Konstantin & Heiselberg, Per & Veje, Christian & Dall’Olio, Stefano & Engelbrecht, Kurt & Bahl, Christian, 2019. "Integration of a magnetocaloric heat pump in an energy flexible residential building," Renewable Energy, Elsevier, vol. 136(C), pages 115-126.
    20. Guelpa, Elisa & Verda, Vittorio, 2021. "Demand response and other demand side management techniques for district heating: A review," Energy, Elsevier, vol. 219(C).

    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:12:y:2019:i:9:p:1678-:d:228022. 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.