Journal of Bioeconomics

, Volume 19, Issue 1, pp 127–145 | Cite as

Using solar PV feed-in tariff policy history to inform a sustainable flexible pricing regime to enhance the diffusion of energy storage and electric vehicles

  • William Paul Bell
  • John FosterEmail author


The aim of this paper is to analyses residential solar PV feed-in tariffs (FiT) policy history to inform the development of a sustainable flexible pricing regime to enhance the diffusion of energy storage, electric vehicles, solar PV installations and other distributed resources focusing on the case of ‘solar rich’ Australia. Solar PV has reached price parity at the retail level where the electricity price charged includes both transmission and distribution costs, in addition to the wholesale price. So the economic rationale for paying a FiT premium above market rates to achieve dynamic efficiency is no longer warranted. However, there is justification pay a premium to encourage dynamic innovation in energy storage. Socially, FiTs can be a problem because they can transfer wealth from poorer to richer households. Additionally, new investment in distribution and transmission, driven by peak demand spikes from air conditioners can act as a further transfer. Environmentally, FiTs can also fall short of their full potential to cut emissions if they lack ‘time of use’ price signals that reflect movements in the wholesale price. We suggest a sustainable flexible price regime that can be designed to addresses all three areas of concern: social, environmental and economic. The resultant transmission and distribution investment deferment would meet both environmental and economic objectives. We argue that the time has come to design a sustainable flexible price regime for solar PV that focusses upon allocative efficiency as an explicit goal and to introduce support for other distributed resources including energy storage to encourage dynamic efficiency.


Renewable energy Solar power Photovoltaic Feed in tariff Energy policy 



This work was carried out with financial support from the Australian Government (Department of Climate Change and Energy Efficiency) and the National Climate Change Adaptation Research Facility. The views expressed herein are not necessarily the views of the Commonwealth, and the Commonwealth does not accept responsibility for any information or advice contained herein. We thank Warwick Johnston of Sunwiz, Australia for his feedback on previous version of this paper and advice regarding modelling of solar PV and smart metering of solar PV.


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Energy Economics and Management Group, School of EconomicsUniversity of QueenslandBrisbaneAustralia

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