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Simulation of Energy Exchange between Single Prosumer Residential Building and Utility Grid

Author

Listed:
  • Andres Annuk

    (Department of Energy Application Engineering, Institute of Technology, Estonian University of Life Sciences, 51006 Tartu, Estonia)

  • Wahiba Yaïci

    (CanmetENERGY Research Centre, Natural Resources Canada, 1 Haanel Drive, Ottawa, ON K1A 1M1, Canada)

  • Matti Lehtonen

    (Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland)

  • Risto Ilves

    (Department of Biosystems Engineering, Institute of Technology, Estonian University of Life Sciences, 51006 Tartu, Estonia)

  • Toivo Kabanen

    (Department of Energy Application Engineering, Institute of Technology, Estonian University of Life Sciences, 51006 Tartu, Estonia)

  • Peep Miidla

    (Estonian Center of Industrial Mathematics, 50090 Tartu, Estonia)

Abstract

Modern households usually have independent energy sources such as wind generators, photovoltaic (PV) panels, and similar green energy production equipment. Experts predict that soon, there will be an increasing number of such prosumers who both produce and consume energy. This process alleviates and reduces the load on large national electricity networks and also contributes to overall energy security. In this paper, a simulation model of a household, which employs a wind generator as its independent source of electricity, is developed. It is expected that this approach will be easily replicated for more complex configurations. The other components of the single prosumer microgrid that will be assessed are the non-shiftable electricity consumption equipment, which is used mainly in households and deployed separately for water heater, with a separate battery to meet the needs of these non-shiftable consumers. The 5-min data intervals for the year of simulation have been used. The characteristics of energy flow according to production and consumption schedules and the capacity of storage equipment have been modelled and simulated. Results disclose that wind turbine production size and buffer battery have a crucial impact on the demand cover factor.

Suggested Citation

  • Andres Annuk & Wahiba Yaïci & Matti Lehtonen & Risto Ilves & Toivo Kabanen & Peep Miidla, 2021. "Simulation of Energy Exchange between Single Prosumer Residential Building and Utility Grid," Energies, MDPI, vol. 14(6), pages 1-13, March.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1553-:d:515078
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    References listed on IDEAS

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    1. Dimitris Al. Katsaprakakis & Georgios Zidianakis & Yiannis Yiannakoudakis & Evaggelos Manioudakis & Irini Dakanali & Spyros Kanouras, 2020. "Working on Buildings’ Energy Performance Upgrade in Mediterranean Climate," Energies, MDPI, vol. 13(9), pages 1-28, May.
    2. John M. DeCicco & Danielle Yuqiao Liu & Joonghyeok Heo & Rashmi Krishnan & Angelika Kurthen & Louise Wang, 2016. "Carbon balance effects of U.S. biofuel production and use," Climatic Change, Springer, vol. 138(3), pages 667-680, October.
    3. Baetens, R. & De Coninck, R. & Van Roy, J. & Verbruggen, B. & Driesen, J. & Helsen, L. & Saelens, D., 2012. "Assessing electrical bottlenecks at feeder level for residential net zero-energy buildings by integrated system simulation," Applied Energy, Elsevier, vol. 96(C), pages 74-83.
    4. Naval, Natalia & Sánchez, Raul & Yusta, Jose M., 2020. "A virtual power plant optimal dispatch model with large and small-scale distributed renewable generation," Renewable Energy, Elsevier, vol. 151(C), pages 57-69.
    5. Shi, Ruifeng & Li, Shaopeng & Zhang, Penghui & Lee, Kwang Y., 2020. "Integration of renewable energy sources and electric vehicles in V2G network with adjustable robust optimization," Renewable Energy, Elsevier, vol. 153(C), pages 1067-1080.
    6. Iver Bakken Sperstad & Magnus Korpås, 2019. "Energy Storage Scheduling in Distribution Systems Considering Wind and Photovoltaic Generation Uncertainties," Energies, MDPI, vol. 12(7), pages 1-24, March.
    7. Arslan Ahmad Bashir & Mahdi Pourakbari Kasmaei & Amir Safdarian & Matti Lehtonen, 2018. "Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building," Energies, MDPI, vol. 11(9), pages 1-16, September.
    8. Vanhoudt, D. & Geysen, D. & Claessens, B. & Leemans, F. & Jespers, L. & Van Bael, J., 2014. "An actively controlled residential heat pump: Potential on peak shaving and maximization of self-consumption of renewable energy," Renewable Energy, Elsevier, vol. 63(C), pages 531-543.
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    Cited by:

    1. Agnieszka Izabela Baruk, 2021. "Prosumers’ Needs Satisfied Due to Cooperation with Offerors in the Context of Attitudes toward Such Cooperation," Energies, MDPI, vol. 14(22), pages 1-16, November.

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