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Development of an economical model to determine an appropriate feed-in tariff for grid-connected solar PV electricity in all states of Australia

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  • Zahedi, A.

Abstract

Australia is a country with a vast amount of natural resources including sun and wind. Australia lies between latitude of 10-45°S and longitude of 112-152°E, with a daily solar exposure of between less than 3 MJ/(m2 day) in winter and more than 30 MJ/(m2 day) in summer. Global solar radiation in Australia varies between minimum of 3285 MJ/(m2 year) in Hobart to 8760 MJ/(m2 year) in Northern Territory. As a result of this wide range of radiation level there will be a big difference between costs of solar PV electricity in different locations. A study we have recently conducted on the solar PV electricity price in all states of Australia. For this purpose we have developed an economical model and a computer simulation to determine the accurate unit price of grid-connected roof-top solar photovoltaic (PV) electricity in A$/kWh for all state of Australia. The benefit of this computer simulation is that we can accurately determine the most appropriate feed-in tariff of grid-connected solar PV energy system. The main objective of this paper is to present the results of this study. A further objective of this paper is to present the details of the unit price of solar PV electricity in the state of Victoria in each month and then to compare with electricity price from conventional power systems, which is currently applied to this state. The state Victoria is located south of Australia and in terms of sun radiation is second lowest compared with the other Australian states. The computer simulation developed for this study makes it possible to determine the cost of grid-connected solar PV electricity at any location in any country based on availability of average daily solar exposure of each month as well as economical factors of the country.

Suggested Citation

  • Zahedi, A., 2009. "Development of an economical model to determine an appropriate feed-in tariff for grid-connected solar PV electricity in all states of Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 871-878, May.
    • Handle: RePEc:eee:rensus:v:13:y:2009:i:4:p:871-878
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    Citations

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    Cited by:

    1. Yuan, Jiahai & Sun, Shenghui & Zhang, Wenhua & Xiong, Minpeng, 2014. "The economy of distributed PV in China," Energy, Elsevier, vol. 78(C), pages 939-949.
    2. Audenaert, Amaryllis & De Boeck, Liesje & De Cleyn, Sven & Lizin, Sebastien & Adam, Jean-François, 2010. "An economic evaluation of photovoltaic grid connected systems (PVGCS) in Flanders for companies: A generic model," Renewable Energy, Elsevier, vol. 35(12), pages 2674-2682.
    3. Audenaert, Amaryllis & De Boeck, Liesje & De Cleyn, Sven & Lizin, Sebastien & Adam, Jean-Franois, 2010. "An economic evaluation of photovoltaic grid connected systems (PVGCS) in Flanders for companies: a generic model," Working Papers 2010/16, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    4. William Paul Bell & John Foster, 2017. "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," Journal of Bioeconomics, Springer, vol. 19(1), pages 127-145, April.
    5. Azadian, Farshad & Radzi, M.A.M., 2013. "A general approach toward building integrated photovoltaic systems and its implementation barriers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 527-538.
    6. Oliver O. Apeh & Edson L. Meyer & Ochuko K. Overen, 2022. "Contributions of Solar Photovoltaic Systems to Environmental and Socioeconomic Aspects of National Development—A Review," Energies, MDPI, vol. 15(16), pages 1-28, August.
    7. Bell, William & Foster, John, 2012. "Feed-in tariffs for promoting solar PV: progressing from dynamic to allocative efficiency," MPRA Paper 38861, University Library of Munich, Germany, revised 28 Apr 2012.
    8. Hernández-Moro, J. & Martínez-Duart, J.M., 2013. "Analytical model for solar PV and CSP electricity costs: Present LCOE values and their future evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 119-132.
    9. He, Yongxiu & Pang, Yuexia & Zhang, Jixiang & Xia, Tian & Zhang, Ting, 2015. "Feed-in tariff mechanisms for large-scale wind power in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 9-17.
    10. Ramli, Makbul A.M. & Twaha, Ssennoga, 2015. "Analysis of renewable energy feed-in tariffs in selected regions of the globe: Lessons for Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 649-661.
    11. Martin, Nigel & Rice, John, 2013. "The solar photovoltaic feed-in tariff scheme in New South Wales, Australia," Energy Policy, Elsevier, vol. 61(C), pages 697-706.
    12. Stevanović, Sanja & Pucar, Mila, 2012. "Investment appraisal of a small, grid-connected photovoltaic plant under the Serbian feed-in tariff framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1673-1682.

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