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dc.contributor.authorRíos Festner, Daniel Alberto 
dc.contributor.authorBlanco Bogado, Gerardo Alejandro 
dc.contributor.authorOlsina, Fernando
dc.contributor.otherUniversidad Nacional de Asunción. Facultad Politécnicaes
dc.date.accessioned2024-08-20T20:00:20Z
dc.date.available2024-08-20T20:00:20Z
dc.date.issued2019-01-08
dc.identifier.issn0140-9883es
dc.identifier.otherhttps://doi.org/10.1016/j.eneco.2018.12.023es
dc.identifier.urihttp://hdl.handle.net/20.500.14066/4453
dc.description.abstractIn liberalized electricity markets, the investment postponement option is deemed decisive for understanding the addition of new generating capacity. Basically, it refers to the possibility for investors to postpone projects for a period while waiting for the arrival of new and better information about the market evolution. When such development involves major uncertainties, the generation business becomes riskier, and the investors' “wait-and-see” behavior might limit the timely addition of new power plants. In that sense, the literature provides solid empirical evidence about the occurrence of construction cycles in the deregulated electricity industry. However, the strategic flexibility inherent to the option to defer new power plants has not yet been rigorously incorporated to investment signals in existing market models. Therefore, this paper proposes a novel methodology to assess the long-term development of liberalized power markets based on a more realistic approach for valuing generation investments. The work is based on a stochastic dynamic market model, built upon System Dynamics simulation approach. The decision-making framework considers that the addition of new capacity is driven by the economic value of the strategic flexibility associated with deferring investments under uncertainties. Thus, the value of the postponement option is quantified in monetary terms through Real Options Analysis. Simulations confirm the cyclical behavior of the energy-only market in the long run, as suggested by the empirical evidence found in the literature. In addition, sensitivity analysis regarding some relevant exogenous variables depicts an even more fluctuating evolution of the capacity due to the combination of strong demand growth rates with large volatilities. Finally, the model validity is assessed through a formal procedure according to the scope of System Dynamics modeling approach.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.publisherElsevier B.V.es
dc.subject.classification5. Energíaes
dc.subject.classification5.2. Procesos diseñados para incrementar la eficiencia de la producción y distribución de energíaes
dc.subject.otherPower generationes
dc.subject.otherPower marketes
dc.subject.otherReal optionses
dc.subject.otherStochastic simulationes
dc.subject.otherStrategic flexibilityes
dc.subject.otherSystem dynamicses
dc.titleIntegrating Real Options Analysis with long-term electricity market modelses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.eneco.2018.12.023es
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de investigación y desarrolloes
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de creación y fortalecimiento de maestrías y doctorados de excelenciaes
dc.description.fundingtextPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Programa Nacional de Incentivo a los Investigadoreses
dc.identifier.essn1873-6181es
dc.journal.titleEnergy Economicses
dc.page.initial188es
dc.page.final205es
dc.relation.projectCONACYT14-INV-271es
dc.relation.projectCONACYT14-POS-032es
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccesses
dc.rights.copyright© 2019 Elsevier B.V. All rights reserved.es
dc.volume.number80es


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