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The economic viability of a feed-in tariff scheme that solely rewards self-consumption to promote the use of integrated photovoltaic battery systems

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  • Brusco, Giovanni
  • Burgio, Alessandro
  • Menniti, Daniele
  • Pinnarelli, Anna
  • Sorrentino, Nicola

Abstract

With reference to an integrated photovoltaic battery (PV-BES) system for grid-connected end users, a feed-in tariff scheme is discussed in this article. This scheme solely rewards self-consumption. Zero is the generation price paid for the generated renewable energy, and zero is the export price paid for the renewable energy delivered to the grid. This feed-in tariff scheme, referred to as S-FIT, also excludes the net-metering service and the possibility that the grid recharges or discharges the batteries.

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  • Brusco, Giovanni & Burgio, Alessandro & Menniti, Daniele & Pinnarelli, Anna & Sorrentino, Nicola, 2016. "The economic viability of a feed-in tariff scheme that solely rewards self-consumption to promote the use of integrated photovoltaic battery systems," Applied Energy, Elsevier, vol. 183(C), pages 1075-1085.
  • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:1075-1085
    DOI: 10.1016/j.apenergy.2016.09.004
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    14. Tomar, Vivek & Tiwari, G.N., 2017. "Techno-economic evaluation of grid connected PV system for households with feed in tariff and time of day tariff regulation in New Delhi – A sustainable approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 822-835.
    15. Sani Hassan, Abubakar & Cipcigan, Liana & Jenkins, Nick, 2017. "Optimal battery storage operation for PV systems with tariff incentives," Applied Energy, Elsevier, vol. 203(C), pages 422-441.
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    17. Zhang, Jian & Cho, Heejin & Luck, Rogelio & Mago, Pedro J., 2018. "Integrated photovoltaic and battery energy storage (PV-BES) systems: An analysis of existing financial incentive policies in the US," Applied Energy, Elsevier, vol. 212(C), pages 895-908.
    18. Sharma, A. & Bhakar, R. & Tiwari, H.P. & Li, R. & Li, F., 2017. "A novel hierarchical contribution factor based model for distribution use-of-system charges," Applied Energy, Elsevier, vol. 208(C), pages 996-1006.
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    20. Petrollese, Mario & Cau, Giorgio & Cocco, Daniele, 2018. "Use of weather forecast for increasing the self-consumption rate of home solar systems: An Italian case study," Applied Energy, Elsevier, vol. 212(C), pages 746-758.
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