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Energy policy planning near grid parity using a price-driven technology penetration model

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  • Lund, Peter D.

Abstract

Here we analyze the importance of the price differences between energy technologies for their market penetration. A price-conditioned technology diffusion model was shown to adequately describe the market take-up of solar and wind penetration and natural gas (shale gas) with respect to the (subsidized) price. Because of the simplifications made to the energy system and the economic framework the results are indicative only and limited to less complicated policy cases. The model was used to investigate the effects of public support on the market shares of renewable electricity technologies. The results indicate that a dynamic support structure for new energy technologies may be necessary as their market share increases. At market entry “oversubsidizing” may be necessary, but, when the share grows beyond a certain percentage, cutting down on subsidies will be necessary to avoid the overheating of the market, which could otherwise lead to exponential growth and a huge need for financial support. If the aim is a swift transition to sustainable energy, a price ratio of around 1:3 (new:old) or higher may be necessary in industrialized countries, but in emerging economies, a lower ratio of 1:2 could apply. When the new technology passes the grid parity landmark by 30%, the natural (non-subsidized) penetration rate could settle at 1% of the total market per year, but with more ambitious policy goals some support may be necessary even then.

Suggested Citation

  • Lund, Peter D., 2015. "Energy policy planning near grid parity using a price-driven technology penetration model," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 389-399.
    • Handle: RePEc:eee:tefoso:v:90:y:2015:i:pb:p:389-399
    DOI: 10.1016/j.techfore.2014.05.004
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    Cited by:

    1. Michael Child & Teresa Haukkala & Christian Breyer, 2017. "The Role of Solar Photovoltaics and Energy Storage Solutions in a 100% Renewable Energy System for Finland in 2050," Sustainability, MDPI, vol. 9(8), pages 1-25, August.
    2. Child, Michael & Kemfert, Claudia & Bogdanov, Dmitrii & Breyer, Christian, 2019. "Flexible electricity generation, grid exchange and storage for the transition to a 100% renewable energy system in Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 139, pages 80-101.
    3. 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.
    4. Zhang, M.M. & Zhang, C. & Liu, L.Y. & Zhou, D.Q., 2020. "Is it time to launch grid parity in the Chinese solar photovoltaic industry? Evidence from 335 cities," Energy Policy, Elsevier, vol. 147(C).
    5. Gupta, Dipti & Das, Abhiman & Garg, Amit, 2019. "Financial support vis-à-vis share of wind generation: Is there an inflection point?," Energy, Elsevier, vol. 181(C), pages 1064-1074.
    6. Purwanto, Widodo Wahyu & Pratama, Yoga Wienda & Nugroho, Yulianto Sulistyo & Warjito, & Hertono, Gatot Fatwanto & Hartono, Djoni & Deendarlianto, & Tezuka, Tetsuo, 2015. "Multi-objective optimization model for sustainable Indonesian electricity system: Analysis of economic, environment, and adequacy of energy sources," Renewable Energy, Elsevier, vol. 81(C), pages 308-318.
    7. Klingler, Anna-Lena, 2017. "Self-consumption with PV+Battery systems: A market diffusion model considering individual consumer behaviour and preferences," Applied Energy, Elsevier, vol. 205(C), pages 1560-1570.

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