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Exploring payback-year based feed-in tariff mechanisms in Australia

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  • Li, Hong Xian
  • Zhang, Yitao
  • Li, Yan
  • Huang, Jiaxin
  • Costin, Glenn
  • Zhang, Peng

Abstract

Solar energy applications are crucial to urban sustainable development and energy investment. Among the policies incentivising solar energy utilisation, Feed-in Tariff has been widely applied to stimulate the adoption of solar photovoltaic systems in the residential sector. This paper presents a payback-year-based Feed-in Tariff determination mechanism from the investment perspective, as suggested by recent research survey data. As an important indicator, the time required to recover the investment (i.e., payback year) in a residential PV project is then formulated using the proposed algorithm to determine Feed-in Tariff rates. The proposed mechanism is demonstrated in a case study in Victoria, Australia. Sensitivity analysis is used to identify the optimum Feed-in Tariff ranges for two popular types of rooftop PV systems, i.e., 3 kW and 5 kW, as examples. The results identify the desirable Feed-in Tariff range for individual energy investors as 20.29 A¢/kWh to 28.25 A¢/kWh, and this should be considered as a point of reference in determining the Feed-in Tariff rate in a manner that takes into account end-users’ expectations. The proposed mechanisms and methodology would be useful for policymakers in adjusting Feed-in Tariff incentive policies at a national or regional level.

Suggested Citation

  • Li, Hong Xian & Zhang, Yitao & Li, Yan & Huang, Jiaxin & Costin, Glenn & Zhang, Peng, 2021. "Exploring payback-year based feed-in tariff mechanisms in Australia," Energy Policy, Elsevier, vol. 150(C).
    • Handle: RePEc:eee:enepol:v:150:y:2021:i:c:s0301421521000021
    DOI: 10.1016/j.enpol.2021.112133
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    2. Younghun Choi & Takuro Kobashi & Yoshiki Yamagata & Akito Murayama, 2021. "Assessment of waterfront office redevelopment plan on optimal building energy demand and rooftop photovoltaics for urban decarbonization," Papers 2108.09029, arXiv.org.
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    6. Bangjun, Wang & Feng, Zhaolei & Feng, Ji & Yu, Pan & Cui, Linyu, 2022. "Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option," Renewable Energy, Elsevier, vol. 189(C), pages 1033-1045.

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