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dc.contributor.advisorDennis B. McLaughlin.en_US
dc.contributor.authorBurrall, Kristen Men_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.en_US
dc.coverage.spatials-cl---en_US
dc.date.accessioned2010-01-07T21:02:47Z
dc.date.available2010-01-07T21:02:47Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/50624
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2009.en_US
dc.descriptionIncludes bibliographical references (leaves 30-33).en_US
dc.description.abstractGrowing electricity demand in Chile has prompted the proposal of new hydropower projects. In addition to evaluating new projects to satisfy demand, a holistic assessment of alternatives as well as potential gains from improved utilization of current hydropower resources should be completed. This study aims to quantify potential gains from optimizing reservoir operations through a case study of the 2-dam system, consisting of the Pangue and Ralco dams, on the Biobio River. This analysis includes results from an optimization model built in GAMS (General Algebraic Modeling System) and two simulations built in MATLAB by the author to assess the efficacy of various operational schemes.en_US
dc.description.statementofresponsibilityby Kristen M. Burrall.en_US
dc.format.extent33 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titleStochastic optimization of hydroelectric dam operations on the Biobio River in Chileen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc475694807en_US


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