Critical decision making for rehabilitation of hydroelectric power plants
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.contributor.authorID | 265836 | tr_TR |
dc.date.accessioned | 2023-11-30T12:39:18Z | |
dc.date.available | 2023-11-30T12:39:18Z | |
dc.date.issued | 2023 | |
dc.department | Çankaya Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümü | en_US |
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. | en_US |
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. | en_US |
dc.identifier.doi | 10.1080/15567036.2023.2241409 | |
dc.identifier.endpage | 10106 | en_US |
dc.identifier.issn | 15567036 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 10073 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.12416/6705 | |
dc.identifier.volume | 45 | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Energy Sources, Part A: Recovery, Utilization and Environmental Effects | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | CFD | en_US |
dc.subject | Francis Turbine | en_US |
dc.subject | Performance Estimation | en_US |
dc.subject | Reverse Engineering | en_US |
dc.subject | Transient Simulation | en_US |
dc.title | Critical decision making for rehabilitation of hydroelectric power plants | tr_TR |
dc.title | Critical Decision Making for Rehabilitation of Hydroelectric Power Plants | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |
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