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dc.contributor.authorChoi, Kwang-Bae
dc.date.accessioned2018-10-03T19:27:35Z
dc.date.available2019-12-20T07:01:52Z
dc.date.issued2017-12-30
dc.identifier.otherChoi_cornell_0058O_10244
dc.identifier.otherhttp://dissertations.umi.com/cornell:10244
dc.identifier.otherbibid: 10474174
dc.identifier.urihttps://hdl.handle.net/1813/59071
dc.description.abstractAs society is increasingly aware of the ecological value of water. As a result, sustainable eco-friendly hydropower reservoir operation is a priority to preserve downstream biodiversity while minimizing the impact on energy production levels. This study develops Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) optimization models to address minimum environmental flow constraints on hydropower operations levels and storage targets while reflecting the uncertainty in future inflow forecasts. A case study of the Bosunggang Hydropower system in Korea compares the performance of historical operations with decisions generated by SDP and SSDP models with different hydrologic state variables, state variable discretization, and system turbine capacities. A watershed model, SSARR, was successfully employed to obtain a daily soil moisture series representing the watershed’s wetness. Importantly, simply adopting sophisticated optimization models without careful consideration of system characteristics such as basin hydrology and system objective does not guarantee better optimized system performance.
dc.language.isoen_US
dc.subjectWater resources management
dc.titleSTOCHASTIC DYNAMIC PROGRAMMING (SDP) AND SAMPLE STOCHASTIC DYNAMIC PROGRAMMING (SSDP) FOR OPTIMIZATION OF KOREAN HYDROPOWER PLANT
dc.typedissertation or thesis
thesis.degree.disciplineCivil and Environmental Engineering
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Civil and Environmental Engineering
dc.contributor.chairStedinger, Jery Russell
dc.contributor.committeeMemberSchneider, Rebecca L.
dcterms.licensehttps://hdl.handle.net/1813/59810
dc.identifier.doihttps://doi.org/10.7298/X40R9MKB


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