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Strategic power plant investment planning under fuel and carbon price uncertainty

dc.contributor.authorGeiger, Ansgar*
dc.date.accessioned2021-02-12T04:39:26Z
dc.date.available2021-02-12T04:39:26Z
dc.date.issued2011*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35634*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/60100
dc.description.abstractThe profitability of power plant investments depends strongly on uncertain fuel and carbon prices. In this doctoral thesis, we combine fundamental electricity market models with stochastic dynamic programming to evaluate power plant investments under uncertainty. The application of interpolation-based stochastic dynamic programming and approximate dynamic programming allows us to consider a greater variety of stochastic fuel and carbon price scenarios compared to other approaches.*
dc.languageEnglish*
dc.subjectHF5001-6182*
dc.subject.classificationbic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategyen_US
dc.subject.otherReal Options*
dc.subject.otherDynamic Programming*
dc.subject.otherFundamental Electricity Market Models*
dc.subject.otherPower Plant Investment Planning*
dc.subject.otherApproximate Dynamic Programming*
dc.titleStrategic power plant investment planning under fuel and carbon price uncertainty*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000021824*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866446335*
oapen.pagesXVIII, 306 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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