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Decision-support tool for assessing future nuclear reactor generation portfolios

Shashi Jain, Ferry Roelofs and Cornelis Oosterlee

Energy Economics, 2014, vol. 44, issue C, 99-112

Abstract: Capital costs, fuel, operation and maintenance (O&M) costs, and electricity prices play a key role in the economics of nuclear power plants. Often standardized reactor designs are required to be locally adapted, which often impacts the project plans and the supply chain. It then becomes difficult to ascertain how these changes will eventually reflect in costs, which makes the capital costs component of nuclear power plants uncertain. Different nuclear reactor types compete economically by having either lower and less uncertain construction costs, increased efficiencies, lower and less uncertain fuel cycles and O&M costs etc. The decision making process related to nuclear power plants requires a holistic approach that takes into account the key economic factors and their uncertainties. We here present a decision-support tool that satisfactorily takes into account the major uncertainties in the cost elements of a nuclear power plant, to provide an optimal portfolio of nuclear reactors. The portfolio so obtained, under our model assumptions and the constraints considered, maximizes the combined returns for a given level of risk or uncertainty. These decisions are made using a combination of real option theory and mean–variance portfolio optimization.

Keywords: Optimal nuclear reactor portfolio; Uncertain reactor construction costs; Real option analysis for nuclear power plants; Optimal portfolio analysis for nuclear power plants (search for similar items in EconPapers)
JEL-codes: C61 C81 D92 G11 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:44:y:2014:i:c:p:99-112

DOI: 10.1016/j.eneco.2014.03.021

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