2013
DOI: 10.1016/j.egypro.2013.07.206
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Applying the Real Option Approach on Nuclear Power Project Decision Making

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Cited by 9 publications
(2 citation statements)
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“…An important measure is to adjust the energy structure and promote the consumption of clean energy sources such as nuclear energy. Thus, the use of nuclear energy increased from 44.19 billion kWh in 2000 to 290.75 billion kWh in 2013 [1], and 26 nuclear power units (28,528 MWe) are currently under construction in China [2,3].…”
Section: Introductionmentioning
confidence: 99%
“…An important measure is to adjust the energy structure and promote the consumption of clean energy sources such as nuclear energy. Thus, the use of nuclear energy increased from 44.19 billion kWh in 2000 to 290.75 billion kWh in 2013 [1], and 26 nuclear power units (28,528 MWe) are currently under construction in China [2,3].…”
Section: Introductionmentioning
confidence: 99%
“…These include (Zhang et al, 2016) on the application of real options to solar photovoltaic power generation in China; Kitzing et al (2017) on the analysis of wind energy investments under different support schemes; and Kim et al (2017) on analyzing uncertainty variables affecting investment in developing countries with a case in Indonesia. Several studies also use this approach to analyze nuclear energy investments including the works of Rothwell (2006) on evaluating new nuclear power plants in the United States of America; Shi and Song (2013) on evaluating how risks and uncertainties affect the development of new power plants in China; Tian et al (2016) on analyzing the influence of carbon market on nuclear investment in China; and Cardin et al (2017) on the flexibility analysis for nuclear power plants with uncertainty in electricity demand and public acceptance. This research tries to contribute to these literatures by analyzing energy switching problem from coal to renewable energy or nuclear energy, involving uncertainty in coal prices, negative externality, and the risk of nuclear accident.…”
mentioning
confidence: 99%