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. |
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dc.language.iso |
eng |
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dc.relation.isversionof |
10.1080/15567036.2023.2241409 |
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dc.rights |
info:eu-repo/semantics/closedAccess |
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dc.subject |
CFD |
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dc.subject |
Francis Turbine |
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dc.subject |
Performance Estimation |
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dc.subject |
Reverse Engineering |
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dc.subject |
Transient Simulation |
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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 |
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