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dc.contributor.authorGeissmann, Thomas-
dc.contributor.authorPonta, Oriana-
dc.date.accessioned2019-07-01T12:25:04Z-
dc.date.available2019-07-01T12:25:04Z-
dc.date.issued2017-02-17-
dc.identifier.issn0360-5442de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17392-
dc.description.abstractThis paper sets forth a novel approach to calculate the levelized cost of electricity (LCOE) using a probabilistic model that accounts for endogenous input parameters. The approach is applied to the example of a nuclear and gas power project. Monte Carlo simulation results show that a correlation between input parameters has a significant effect on the model outcome. By controlling for endogeneity, a statistically significant difference in the mean LCOE estimate and a change in the order of input leverages is observed. Moreover, the paper discusses the role of discounting options and external costs in detail. In contrast to the gas power project, the economic viability of the nuclear project is considerably weaker.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofEnergyde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectInvesstment analysisde_CH
dc.subjectLevelized cost of electricityde_CH
dc.subjectMonte Carlo simulationde_CH
dc.subjectNuclear gas and powerde_CH
dc.subjectUncertaintyde_CH
dc.subject.ddc333.79: Energiede_CH
dc.titleA probabilistic approach to the computation of the levelized cost of electricityde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
dc.identifier.doi10.1016/j.energy.2017.02.078de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end381de_CH
zhaw.pages.start372de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume124de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Geissmann, T., & Ponta, O. (2017). A probabilistic approach to the computation of the levelized cost of electricity. Energy, 124, 372–381. https://doi.org/10.1016/j.energy.2017.02.078
Geissmann, T. and Ponta, O. (2017) ‘A probabilistic approach to the computation of the levelized cost of electricity’, Energy, 124, pp. 372–381. Available at: https://doi.org/10.1016/j.energy.2017.02.078.
T. Geissmann and O. Ponta, “A probabilistic approach to the computation of the levelized cost of electricity,” Energy, vol. 124, pp. 372–381, Feb. 2017, doi: 10.1016/j.energy.2017.02.078.
GEISSMANN, Thomas und Oriana PONTA, 2017. A probabilistic approach to the computation of the levelized cost of electricity. Energy. 17 Februar 2017. Bd. 124, S. 372–381. DOI 10.1016/j.energy.2017.02.078
Geissmann, Thomas, and Oriana Ponta. 2017. “A Probabilistic Approach to the Computation of the Levelized Cost of Electricity.” Energy 124 (February): 372–81. https://doi.org/10.1016/j.energy.2017.02.078.
Geissmann, Thomas, and Oriana Ponta. “A Probabilistic Approach to the Computation of the Levelized Cost of Electricity.” Energy, vol. 124, Feb. 2017, pp. 372–81, https://doi.org/10.1016/j.energy.2017.02.078.


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