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Conference Paper: A stochastic programming model for evaluating real options in wind power investment projects

TitleA stochastic programming model for evaluating real options in wind power investment projects
Authors
Qin, HChu, LK
KeywordsClean Development Mechanism (CDM)
Real options
Stochastic programming
Wind power investment
Issue Date2013
PublisherSpringer Berlin Heidelberg.
Citation
The 19th International Conference on Industrial Engineering and Engineering Management, Changsha, China; 27-29 October 2012. In the 19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering, 2013, p. 81-91 How to Cite?
DOI: http://dx.doi.org/10.1007/978-3-642-38391-5-9
AbstractThis study is concerned with the evaluation of wind power projects under the Clean Development Mechanism (CDM), not only for the purpose of CDM verification, but also for the financing of the project. A real options model is developed in this paper to evaluate the investment decisions on wind power project. The model obtains the real value of the project and determines the optimal time to invest wind power project. Stochastic programming is employed to evaluate the real options model, and a scenario tree, generated by path-based sampling method and LHS discretization, is constructed to approximate the original stochastic program. © 2013 Springer-Verlag Berlin Heidelberg.
DescriptionThis book is proceedings of the 19th International Conference on Industrial Engineering and Engineering Management 2012
Persistent Identifierhttp://hdl.handle.net/10722/174178
ISBN
978-3-642-38390-8

 

DC FieldValueLanguage
dc.contributor.authorQin, Hen_US
dc.contributor.authorChu, LKen_US
dc.date.accessioned2012-11-16T03:38:17Z-
dc.date.available2012-11-16T03:38:17Z-
dc.date.issued2013en_US
dc.identifier.citationThe 19th International Conference on Industrial Engineering and Engineering Management, Changsha, China; 27-29 October 2012. In the 19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering, 2013, p. 81-91en_US
dc.identifier.isbn978-3-642-38390-8-
dc.identifier.urihttp://hdl.handle.net/10722/174178-
dc.descriptionThis book is proceedings of the 19th International Conference on Industrial Engineering and Engineering Management 2012-
dc.description.abstractThis study is concerned with the evaluation of wind power projects under the Clean Development Mechanism (CDM), not only for the purpose of CDM verification, but also for the financing of the project. A real options model is developed in this paper to evaluate the investment decisions on wind power project. The model obtains the real value of the project and determines the optimal time to invest wind power project. Stochastic programming is employed to evaluate the real options model, and a scenario tree, generated by path-based sampling method and LHS discretization, is constructed to approximate the original stochastic program. © 2013 Springer-Verlag Berlin Heidelberg.-
dc.languageengen_US
dc.publisherSpringer Berlin Heidelberg.-
dc.relation.ispartofThe 19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineeringen_US
dc.subjectClean Development Mechanism (CDM)-
dc.subjectReal options-
dc.subjectStochastic programming-
dc.subjectWind power investment-
dc.titleA stochastic programming model for evaluating real options in wind power investment projectsen_US
dc.typeConference_Paperen_US
dc.identifier.emailChu, LK: lkchu@hkucc.hku.hken_US
dc.identifier.authorityChu, LK=rp00113en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-38391-5-9-
dc.identifier.scopuseid_2-s2.0-84891541396-
dc.identifier.hkuros212290en_US
dc.identifier.spage81en_US
dc.identifier.epage91en_US

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