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 | |
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| gdc.openalex.normalizedpercentile | 0.45 | |
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