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Vehicle-To-Grid for Peak Shaving to Unlock the Integration of Distributed Heat Pumps in a Swedish Neighborhood

Author

Listed:
  • Monica Arnaudo

    (Royal Institute of Technology, 11428 Stockholm, Sweden)

  • Monika Topel

    (Royal Institute of Technology, 11428 Stockholm, Sweden)

  • Björn Laumert

    (Royal Institute of Technology, 11428 Stockholm, Sweden)

Abstract

The city of Stockholm is close to hitting the capacity limits of its power grid. As an additional challenge, electricity has been identified as a key resource to help the city to meet its environmental targets. This has pushed citizens to prefer power-based technologies, like heat pumps and electric vehicles, thus endangering the stability of the grid. The focus of this paper is on the district of Hammarby Sjöstad. Here, plans are set to switch from district heating to heat pumps. A previous study verified that this choice will cause overloadings on the electricity distribution grid. The present paper tackles this problem by proposing a new energy storage option. By considering the increasing share of electric vehicles, the potential of using the electricity stored in their batteries to support the grid is explored through technical performance simulations. The objective was to enable a bi-directional flow and use the electric vehicles’ (EVs)’ discharging to shave the peak demand caused by the heat pumps. It was found that this solution can eliminate overloadings up to 50%, with a 100% EV penetration. To overcome the mismatch between the availability of EVs and the overloadings’ occurrence, the minimum state of charge for discharging should be lower than 70%.

Suggested Citation

  • Monica Arnaudo & Monika Topel & Björn Laumert, 2020. "Vehicle-To-Grid for Peak Shaving to Unlock the Integration of Distributed Heat Pumps in a Swedish Neighborhood," Energies, MDPI, vol. 13(7), pages 1-13, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1705-:d:341230
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    References listed on IDEAS

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    1. Freeman, Gerad M. & Drennen, Thomas E. & White, Andrew D., 2017. "Can parked cars and carbon taxes create a profit? The economics of vehicle-to-grid energy storage for peak reduction," Energy Policy, Elsevier, vol. 106(C), pages 183-190.
    2. Zesen Wang & Yanmei Tang & Xiao Chen & Xiangyang Men & Jun Cao & Haifeng Wang, 2018. "Optimized Daily Dispatching Strategy of Building- Integrated Energy Systems Considering Vehicle to Grid Technology and Room Temperature Control," Energies, MDPI, vol. 11(5), pages 1-19, May.
    3. Arnaudo, Monica & Topel, Monika & Laumert, Björn, 2020. "Techno-economic analysis of demand side flexibility to enable the integration of distributed heat pumps within a Swedish neighborhood," Energy, Elsevier, vol. 195(C).
    4. Pasichnyi, Oleksii & Wallin, Jörgen & Kordas, Olga, 2019. "Data-driven building archetypes for urban building energy modelling," Energy, Elsevier, vol. 181(C), pages 360-377.
    5. Zhaoxi Liu & Qiuwei Wu & Arne Hejde Nielsen & Yun Wang, 2014. "Day-Ahead Energy Planning with 100% Electric Vehicle Penetration in the Nordic Region by 2050," Energies, MDPI, vol. 7(3), pages 1-17, March.
    6. Lin, Haiyang & Liu, Yiling & Sun, Qie & Xiong, Rui & Li, Hailong & Wennersten, Ronald, 2018. "The impact of electric vehicle penetration and charging patterns on the management of energy hub – A multi-agent system simulation," Applied Energy, Elsevier, vol. 230(C), pages 189-206.
    7. Gough, Rebecca & Dickerson, Charles & Rowley, Paul & Walsh, Chris, 2017. "Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage," Applied Energy, Elsevier, vol. 192(C), pages 12-23.
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    Citations

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    Cited by:

    1. Beiron, Johanna & Göransson, Lisa & Normann, Fredrik & Johnsson, Filip, 2022. "A multiple system level modeling approach to coupled energy markets: Incentives for combined heat and power generation at the plant, city and regional energy system levels," Energy, Elsevier, vol. 254(PB).
    2. Arnaudo, Monica & Dalgren, Johan & Topel, Monika & Laumert, Björn, 2021. "Waste heat recovery in low temperature networks versus domestic heat pumps - A techno-economic and environmental analysis," Energy, Elsevier, vol. 219(C).
    3. Ebrahimi, Armin & Ziabasharhagh, Masoud, 2022. "Introducing a novel control algorithm and scheduling procedure for optimal operation of energy storage systems," Energy, Elsevier, vol. 252(C).

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