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Experimental evaluation of an integrated demand response program using electric heat boosters to provide multi-system services

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  • Cai, Hanmin
  • Thingvad, Andreas
  • You, Shi
  • Marinelli, Mattia

Abstract

The share of renewable energy resources (RES) production has been increasing in both the electricity system and the district heating (DH) system in Denmark. This challenges system operators’ traditional operating practices in which different energy systems are separately managed and end-users play a passive role in the system operation. Integrated energy system operation considering multiple energy carriers is increasingly perceived as a key approach to accommodate the RES in a globally optimal way. Although existing literature has analysed (DR)’s potential for improving system operation, it has been largely confined to a single energy system. To fill this gap, the current study focuses on (IDR)’s potential for improving the operation of integrated electricity and DH system. This paper presents one of the first experimental demonstrations of an IDR program by deploying electric heat boosters (EHBs) to provide multi-system services. The multi-scale demonstration of the IDR program was structured into three hierarchical levels: (i) augmented commercial DH substations; (ii) distributed situation-aware control systems; and (iii) an aggregation controller. The results show that EHBs in 5 single-family buildings simultaneously delivered frequency-controlled normal operation reserve (FCR-N) with a symmetric capacity of 7.5 kW to the electricity system with an activation time of 4 s and a peak shaving service to the DH system. The temperature distribution over the test period revealed that end-user comfort was maintained. In conclusion, EHBs in an IDR program can simultaneously support both the electricity system and the DH system, which provides system operators’ a tool for integrated system operation; the multi-system service design enhances the economic outlook of active demands in an IDR program.

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  • Cai, Hanmin & Thingvad, Andreas & You, Shi & Marinelli, Mattia, 2020. "Experimental evaluation of an integrated demand response program using electric heat boosters to provide multi-system services," Energy, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:energy:v:193:y:2020:i:c:s0360544219324247
    DOI: 10.1016/j.energy.2019.116729
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    References listed on IDEAS

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    1. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    2. Cai, Hanmin & You, Shi & Wang, Jiawei & Bindner, Henrik W. & Klyapovskiy, Sergey, 2018. "Technical assessment of electric heat boosters in low-temperature district heating based on combined heat and power analysis," Energy, Elsevier, vol. 150(C), pages 938-949.
    3. Wang, Dan & Hu, Qing'e & Jia, Hongjie & Hou, Kai & Du, Wei & Chen, Ning & Wang, Xudong & Fan, Menghua, 2019. "Integrated demand response in district electricity-heating network considering double auction retail energy market based on demand-side energy stations," Applied Energy, Elsevier, vol. 248(C), pages 656-678.
    4. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    5. Guelpa, Elisa & Deputato, Stefania & Verda, Vittorio, 2018. "Thermal request optimization in district heating networks using a clustering approach," Applied Energy, Elsevier, vol. 228(C), pages 608-617.
    6. Brange, Lisa & Lauenburg, Patrick & Sernhed, Kerstin & Thern, Marcus, 2017. "Bottlenecks in district heating networks and how to eliminate them – A simulation and cost study," Energy, Elsevier, vol. 137(C), pages 607-616.
    7. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    8. Wang, Jianxiao & Zhong, Haiwang & Ma, Ziming & Xia, Qing & Kang, Chongqing, 2017. "Review and prospect of integrated demand response in the multi-energy system," Applied Energy, Elsevier, vol. 202(C), pages 772-782.
    9. Cai, Hanmin & Ziras, Charalampos & You, Shi & Li, Rongling & Honoré, Kristian & Bindner, Henrik W., 2018. "Demand side management in urban district heating networks," Applied Energy, Elsevier, vol. 230(C), pages 506-518.
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    2. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).
    3. Malandra, F. & Kizilkale, A.C. & Sirois, F. & Sansò, B. & Anjos, M.F. & Bernier, M. & Gendreau, M. & Malhamé, R.P., 2020. "Smart Distributed Energy Storage Controller (smartDESC)," Energy, Elsevier, vol. 210(C).
    4. Hermansen, Rune & Smith, Kevin & Thorsen, Jan Eric & Wang, Jiawei & Zong, Yi, 2022. "Model predictive control for a heat booster substation in ultra low temperature district heating systems," Energy, Elsevier, vol. 238(PA).

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