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Critical decision making for rehabilitation of hydroelectric power plants

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dc.contributor.author Celebioglu, Kutay
dc.contributor.author Aylı, Ece
dc.contributor.author Ulucak, Oguzhan
dc.contributor.author Aradağ, Selin
dc.contributor.author Westerman, Jerry
dc.date.accessioned 2023-11-30T12:39:18Z
dc.date.available 2023-11-30T12:39:18Z
dc.date.issued 2023
dc.identifier.citation Celebioglu, Kutay...et.al. (2023). "Critical decision making for rehabilitation of hydroelectric power plants", Energy Sources, Part A: Recovery, Utilization and Environmental Effects, Vol.45, No.4, pp.10073-10106. tr_TR
dc.identifier.issn 15567036
dc.identifier.uri http://hdl.handle.net/20.500.12416/6705
dc.description.abstract Due to their diminishing performance, reliability, and maintenance requirements, there has been a rise in the demand for the restoration and renovation of old hydroelectric power facilities in recent decades. Prior to initiating a rehabilitation program, it is crucial to establish a comprehensive understanding of the power plant’s current state. Failure to do so may result in unnecessary expenses with minimal or no improvements. This article presents a systematic rehabilitation methodology specifically tailored for Francis turbines, encompassing a methodological approach for condition assessment, performance testing, and evaluation of rehabilitation potential using site measurements and CFD analysis, and a comprehensive decision-making process. To evaluate the off-design performance of the turbines, a series of simulations are conducted for 40 different flow rate and head combinations, generating a hill chart for comprehensive evaluation. Various parameters that significantly impact the critical decision-making process are thoroughly investigated. The validity of the reverse engineering-based CFD methodology is verified, demonstrating a minor difference of 0.41% and 0.40% in efficiency and power, respectively, between the RE runner and actual runner CFD results. The optimal efficiency point is determined at a flow rate of 35.035 m3/s, achieving an efficiency of 94.07%, while the design point exhibits an efficiency of 93.27% with a flow rate of 38.6 m3/s. Cavitation is observed in the turbine runner, occupying 27% of the blade suction area at 110% loading. The developed rehabilitation methodology equips decision-makers with essential information to prioritize key issues and determine whether a full-scale or component-based rehabilitation program is necessary. By following this systematic approach, hydroelectric power plants can efficiently address the challenges associated with aging Francis turbines and optimize their rehabilitation efforts. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1080/15567036.2023.2241409 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject CFD tr_TR
dc.subject Francis Turbine tr_TR
dc.subject Performance Estimation tr_TR
dc.subject Reverse Engineering tr_TR
dc.subject Transient Simulation tr_TR
dc.title Critical decision making for rehabilitation of hydroelectric power plants tr_TR
dc.type article tr_TR
dc.relation.journal Energy Sources, Part A: Recovery, Utilization and Environmental Effects tr_TR
dc.contributor.authorID 265836 tr_TR
dc.identifier.volume 45 tr_TR
dc.identifier.issue 4 tr_TR
dc.identifier.startpage 10073 tr_TR
dc.identifier.endpage 10106 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümü tr_TR


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