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Energies 2017, 10(1), 43; doi:10.3390/en10010043

Lobatto-Milstein Numerical Method in Application of Uncertainty Investment of Solar Power Projects

1
Department of Mathematics, Harbin Institute of Technology, Harbin 150001, China
2
Department of Mathematics, Faculty of Science, Menoufia University, Menoufia 32511, Egypt
*
Authors to whom correspondence should be addressed.
Academic Editor: Senthilarasu Sundaram
Received: 5 August 2016 / Revised: 6 December 2016 / Accepted: 21 December 2016 / Published: 3 January 2017
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Abstract

Recently, there has been a growing interest in the production of electricity from renewable energy sources (RES). The RES investment is characterized by uncertainty, which is long-term, costly and depends on feed-in tariff and support schemes. In this paper, we address the real option valuation (ROV) of a solar power plant investment. The real option framework is investigated. This framework considers the renewable certificate price and, further, the cost of delay between establishing and operating the solar power plant. The optimal time of launching the project and assessing the value of the deferred option are discussed. The new three-stage numerical methods are constructed, the Lobatto3C-Milstein (L3CM) methods. The numerical methods are integrated with the concept of Black–Scholes option pricing theory and applied in option valuation for solar energy investment with uncertainty. The numerical results of the L3CM, finite difference and Monte Carlo methods are compared to show the efficiency of our methods. Our dataset refers to the Arab Republic of Egypt. View Full-Text
Keywords: stochastic differential equation; numerical simulation; real option; renewable energy; Egypt stochastic differential equation; numerical simulation; real option; renewable energy; Egypt
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Eissa, M.A.; Tian, B. Lobatto-Milstein Numerical Method in Application of Uncertainty Investment of Solar Power Projects. Energies 2017, 10, 43.

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