Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/690
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dc.contributor.authorAğralı, Semra-
dc.contributor.authorCanakoglu, Ethem-
dc.contributor.authorArikan, Yildiz-
dc.contributor.authorTerzi, Fulya-
dc.contributor.authorAdıyeke, Esra-
dc.date.accessioned2019-02-28T13:04:26Z
dc.date.accessioned2019-02-28T11:08:18Z
dc.date.available2019-02-28T13:04:26Z
dc.date.available2019-02-28T11:08:18Z
dc.date.issued2017-
dc.identifier.citationAgral, S., Terzi, F., Adyeke, E., Canakolu, E., & Arikan, Y. (November 01, 2017). Energy investment planning at a private company: A mathematical programming-based model and its application in Turkey. Ieee Transactions on Power Systems, 32, 6, 4180-4187.en_US
dc.identifier.issn0885-8950-
dc.identifier.urihttp://dx.doi.org/10.1109/TPWRS.2017.2676819-
dc.identifier.urihttps://hdl.handle.net/20.500.11779/690-
dc.descriptionSemra Ağralı (MEF Author)en_US
dc.description.abstractWe consider a mid-sized private electricity generating company that plans to enter the market that is partially regulated. There is a cap and trade system in operation in the industry. There are nine possible power plant types that the company considers to invest on through a planning horizon. Some of these plants may include a carbon capture and storage technology. We develop a stochastic mixed-integer linear program for this problem where the objective is to maximize the expected net present value of the profit obtained. We include restrictions on the maximum and minimum possible amount of investment for every type of investment option. We also enforce market share conditions such that the percentage of the total investments of the company over the total installed capacity of the country stay between upper and lower bounds. Moreover, in order to distribute the investment risk, the percentage of each type of power plant investment is restricted by some upper bound. We tested the model for a hypothetical company operating in Turkey. The results show that the model is suitable to be used for determining the investment strategy of the company.en_US
dc.language.isoenen_US
dc.relation.ispartofIeee Transactions On Power Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInvestment planningen_US
dc.subjectStochastic optimizationen_US
dc.subjectMixed-integer linear programmingen_US
dc.subjectGeneration expansion planningen_US
dc.titleEnergy Investment Planning at a Private Company: a Mathematical Programming-Based Model and Its Application in Turkeyen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TPWRS.2017.2676819-
dc.identifier.scopus2-s2.0-85037056874en_US
dc.description.woscitationindexScience Citation Index Expanded - Social Science Citation Index-
dc.identifier.wosqualityQ1-
dc.description.WoSDocumentTypeArticle
dc.description.WoSInternationalCollaborationUluslararası işbirliği ile yapılmayan - HAYIRen_US
dc.description.WoSPublishedMonthKasımen_US
dc.description.WoSIndexDate2017en_US
dc.description.WoSYOKperiodYÖK - 2017-18en_US
dc.identifier.scopusqualityQ1-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.endpage4187en_US
dc.identifier.startpage4180en_US
dc.identifier.issue6en_US
dc.identifier.volume32en_US
dc.departmentMühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000413247800003en_US
dc.institutionauthorAğralı, Semra-
item.grantfulltextembargo_20890214-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.01. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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