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Techno-economic analysis of household and community energy storage for residential prosumers with smart appliances

Author

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  • van der Stelt, Sander
  • AlSkaif, Tarek
  • van Sark, Wilfried

Abstract

The emergence of Decentralized Energy Resources (DERs) and rising electricity demand are known to cause grid instability. Additionally, recent policy developments indicate a decreased tariff in the future for electricity sold to the grid by households with DERs. Energy Storage Systems (ESS) combined with Demand Side Management (DSM) can improve the self-consumption of Photovoltaic (PV) generated electricity and decrease grid imbalance between supply and demand. Household Energy Storage (HES) and Community Energy Storage (CES) are two promising storage scenarios for residential electricity prosumers. This paper aims to assess and compare the technical and economic feasibility of both HES and CES. To do that, mathematical optimization is used in both scenarios, where a Home Energy Management System (HEMS) schedules the allocation of energy from the PV system, battery and the grid in order to satisfy the power demand of households using a dynamic pricing scheme. The problem is formulated as a Mixed Integer Linear Programming (MILP) with the objective of minimizing the costs of power received from the grid. Data from real demand and PV generation profiles of 39 households in a pilot project initiated by the Distribution System Operator (DSO) ’Enexis’ in Breda, the Netherlands, is used for the numerical analysis. Results show that the self consumption of PV power is the largest contributor to the savings obtained when using ESS. The implementation of different ESS reduces annual costs by 22–30% and increases the self-consumption of PV power by 23–29%. Finally, a sensitivity analysis is performed which shows how investment costs of ESS per kWh are crucial in determining the economic feasibility of both systems.

Suggested Citation

  • van der Stelt, Sander & AlSkaif, Tarek & van Sark, Wilfried, 2018. "Techno-economic analysis of household and community energy storage for residential prosumers with smart appliances," Applied Energy, Elsevier, vol. 209(C), pages 266-276.
  • Handle: RePEc:eee:appene:v:209:y:2018:i:c:p:266-276
    DOI: 10.1016/j.apenergy.2017.10.096
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    References listed on IDEAS

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    1. Aboobacker, V.M. & Shanas, P.R. & Alsaafani, M.A. & Albarakati, Alaa M.A., 2017. "Wave energy resource assessment for Red Sea," Renewable Energy, Elsevier, vol. 114(PA), pages 46-58.
    2. Mohseni, Amin & Mortazavi, Seyed Saeidollah & Ghasemi, Ahmad & Nahavandi, Ali & Talaei abdi, Masoud, 2017. "The application of household appliances' flexibility by set of sequential uninterruptible energy phases model in the day-ahead planning of a residential microgrid," Energy, Elsevier, vol. 139(C), pages 315-328.
    3. Reza Arghandeh & Jeremy Woyak & Ahmet Onen & Jaesung Jung & Robert P. Broadwater, 2014. "Economic Optimal Operation of Community Energy Storage Systems in Competitive Energy Markets," Papers 1407.0433, arXiv.org, revised Sep 2014.
    4. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "Residential demand response scheme based on adaptive consumption level pricing," Energy, Elsevier, vol. 113(C), pages 301-308.
    5. Parra, David & Norman, Stuart A. & Walker, Gavin S. & Gillott, Mark, 2016. "Optimum community energy storage system for demand load shifting," Applied Energy, Elsevier, vol. 174(C), pages 130-143.
    6. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    7. Hoppmann, Joern & Volland, Jonas & Schmidt, Tobias S. & Hoffmann, Volker H., 2014. "The economic viability of battery storage for residential solar photovoltaic systems – A review and a simulation model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1101-1118.
    8. Arghandeh, Reza & Woyak, Jeremy & Onen, Ahmet & Jung, Jaesung & Broadwater, Robert P., 2014. "Economic optimal operation of Community Energy Storage systems in competitive energy markets," Applied Energy, Elsevier, vol. 135(C), pages 71-80.
    9. Zhao, Jiayun & Kucuksari, Sadik & Mazhari, Esfandyar & Son, Young-Jun, 2013. "Integrated analysis of high-penetration PV and PHEV with energy storage and demand response," Applied Energy, Elsevier, vol. 112(C), pages 35-51.
    10. Heymans, Catherine & Walker, Sean B. & Young, Steven B. & Fowler, Michael, 2014. "Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling," Energy Policy, Elsevier, vol. 71(C), pages 22-30.
    11. David Van Den Dooren & Thomas Sys & Túlio A. M. Toffolo & Tony Wauters & Greet Vanden Berghe, 2017. "Multi-machine energy-aware scheduling," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 285-307, March.
    Full references (including those not matched with items on IDEAS)

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