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Critical Decision Making for Rehabilitation of Hydroelectric Power Plants

dc.contributor.author Westerman, Jerry
dc.contributor.author Celebioglu, Kutay
dc.contributor.author Ayli, Ece
dc.contributor.author Ulucak, Oguzhan
dc.contributor.author Aradag, Selin
dc.contributor.authorID 265836 tr_TR
dc.contributor.other 06.06. Makine Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2023-11-30T12:39:18Z
dc.date.accessioned 2025-09-18T14:08:55Z
dc.date.available 2023-11-30T12:39:18Z
dc.date.available 2025-09-18T14:08:55Z
dc.date.issued 2023
dc.description Ulucak, Oguzhan/0000-0002-2063-2553 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 m(3)/s, achieving an efficiency of 94.07%, while the design point exhibits an efficiency of 93.27% with a flow rate of 38.6 m(3)/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.description.sponsorship European Union/Instrument for Pre Accession Assistance (IPA) Energy Sector Technical Assistance Project Consulting Services for Energy Efficiency in Power Generation en_US
dc.description.sponsorship The authors would like to thank the Republic of Turkey Ministry of Energy and Natural Resources and the World Bank Group for their financial support of the project entitled "European Union/Instrument for Pre Accession Assistance (IPA) Energy Sector Technical Assistance Project Consulting Services for Energy Efficiency in Power Generation." The computations presented here were conducted using the computational cluster of the TOBB University Hydro Energy Research Laboratory (TOBB ETU Hydro). 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.issn 1556-7036
dc.identifier.issn 1556-7230
dc.identifier.scopus 2-s2.0-85167360810
dc.identifier.uri https://doi.org/10.1080/15567036.2023.2241409
dc.identifier.uri https://hdl.handle.net/20.500.12416/13246
dc.language.iso en en_US
dc.publisher Taylor & Francis inc en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Reverse Engineering en_US
dc.subject Cfd en_US
dc.subject Francis Turbine en_US
dc.subject Performance Estimation en_US
dc.subject Transient Simulation en_US
dc.title Critical Decision Making for Rehabilitation of Hydroelectric Power Plants en_US
dc.title Critical decision making for rehabilitation of hydroelectric power plants tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Ulucak, Oguzhan/0000-0002-2063-2553
gdc.author.institutional Aylı, Ülkü Ece
gdc.author.scopusid 37661052300
gdc.author.scopusid 55371892800
gdc.author.scopusid 57220077206
gdc.author.scopusid 11440423900
gdc.author.scopusid 58527411800
gdc.author.wosid Ayli, Ulku Ece/J-2906-2016
gdc.author.wosid Celebioglu, Kutay/Aaw-8787-2020
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Celebioglu, Kutay] TOBB Univ Econ & Technol, Hydro Energy Res Lab, Ankara, Turkiye; [Ayli, Ece; Ulucak, Oguzhan] Cankaya Univ, Dept Mech Engn, Ankara, Turkiye; [Ulucak, Oguzhan] TED Univ, Dept Mech Engn, Ankara, Turkiye; [Aradag, Selin; Westerman, Jerry] HATCH Ltd, Niagara Falls, ON, Canada en_US
gdc.description.endpage 10106 en_US
gdc.description.issue 4 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 10073 en_US
gdc.description.volume 45 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q3
gdc.identifier.openalex W4385583333
gdc.identifier.wos WOS:001042388500001
gdc.openalex.fwci 0.23102573
gdc.openalex.normalizedpercentile 0.45
gdc.opencitations.count 1
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 2
gdc.plumx.scopuscites 2
gdc.scopus.citedcount 2
gdc.wos.citedcount 2
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