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The effect of current and prospective policies on photovoltaic system economics: An application to the US Midwest

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  • Sesmero, Juan
  • Jung, Jinho
  • Tyner, Wallace

Abstract

This study models fundamental features of current and prospective policies encouraging adoption of residential photovoltaic (PV) systems. A key finding is that time-of-day (ToD) pricing can enhance or worsen the economics of PV systems. Moreover, increased responsiveness of electricity demand to its price diminishes the effectiveness of ToD pricing in the absence of net metering, but does not affect it otherwise. An application to plausible conditions in the State of Indiana, USA, shows that current policies are unlikely to trigger adoption by a risk-neutral forward-looking residential customer. However, adoption of PV systems can be induced if the Federal Tax Credit is increased to cover 48% of capital cost (instead of the current 30%), which could imply a cost to the Federal Government of about $0.95/kW of installed capacity depending on the panel’s size. We demonstrate that implementation of ToD pricing can trigger adoption under a range of on- and off-peak price combinations. But our analysis also shows that the cost-effectiveness of ToD pricing is enhanced at higher ratios of on-peak to off-peak prices.

Suggested Citation

  • Sesmero, Juan & Jung, Jinho & Tyner, Wallace, 2016. "The effect of current and prospective policies on photovoltaic system economics: An application to the US Midwest," Energy Policy, Elsevier, vol. 93(C), pages 80-95.
    • Handle: RePEc:eee:enepol:v:93:y:2016:i:c:p:80-95
    DOI: 10.1016/j.enpol.2016.02.042
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    Cited by:

    1. Pringles, Rolando & Olsina, Fernando & Penizzotto, Franco, 2020. "Valuation of defer and relocation options in photovoltaic generation investments by a stochastic simulation-based method," Renewable Energy, Elsevier, vol. 151(C), pages 846-864.
    2. Cheng, Cheng & Wang, Zhen & Liu, Mingming & Chen, Qiang & Gbatu, Abimelech Paye & Ren, Xiaohang, 2017. "Defer option valuation and optimal investment timing of solar photovoltaic projects under different electricity market systems and support schemes," Energy, Elsevier, vol. 127(C), pages 594-610.
    3. Romano, Teresa & Fumagalli, Elena, 2018. "Greening the power generation sector: Understanding the role of uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 272-286.
    4. Cheng, Cheng & Dong, Kangyin & Wang, Zhen & Liu, Shulin & Jurasz, Jakub & Zhang, Haoran, 2023. "Rethinking the evaluation of solar photovoltaic projects under YieldCo mode: A real option perspective," Applied Energy, Elsevier, vol. 336(C).
    5. Wang, Richard & Hsu, Shu-Chien & Zheng, Saina & Chen, Jieh-Haur & Li, Xuran Ivan, 2020. "Renewable energy microgrids: Economic evaluation and decision making for government policies to contribute to affordable and clean energy," Applied Energy, Elsevier, vol. 274(C).
    6. Sommerfeldt, Nelson & Madani, Hatef, 2017. "Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part one – Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1379-1393.

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