Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines
Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The num...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhou, Yunpeng [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of mechanical science and technology - Berlin : Springer, 2005, 35(2021), 12 vom: Dez., Seite 5273-5285 |
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| Übergeordnetes Werk: |
volume:35 ; year:2021 ; number:12 ; month:12 ; pages:5273-5285 |
| Links: |
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| DOI / URN: |
10.1007/s12206-021-0501-8 |
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| Katalog-ID: |
SPR050345869 |
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| 245 | 1 | 0 | |a Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines |
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| 520 | |a Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. | ||
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10.1007/s12206-021-0501-8 doi (DE-627)SPR050345869 (SPR)s12206-021-0501-8-e DE-627 ger DE-627 rakwb eng Zhou, Yunpeng verfasserin aut Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. Wind turbine (dpeaa)DE-He213 Gearbox (dpeaa)DE-He213 High-fidelity generator model (dpeaa)DE-He213 Fully coupled approach (dpeaa)DE-He213 Lee, Chengwu aut Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 35(2021), 12 vom: Dez., Seite 5273-5285 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:35 year:2021 number:12 month:12 pages:5273-5285 https://dx.doi.org/10.1007/s12206-021-0501-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2021 12 12 5273-5285 |
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10.1007/s12206-021-0501-8 doi (DE-627)SPR050345869 (SPR)s12206-021-0501-8-e DE-627 ger DE-627 rakwb eng Zhou, Yunpeng verfasserin aut Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. Wind turbine (dpeaa)DE-He213 Gearbox (dpeaa)DE-He213 High-fidelity generator model (dpeaa)DE-He213 Fully coupled approach (dpeaa)DE-He213 Lee, Chengwu aut Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 35(2021), 12 vom: Dez., Seite 5273-5285 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:35 year:2021 number:12 month:12 pages:5273-5285 https://dx.doi.org/10.1007/s12206-021-0501-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2021 12 12 5273-5285 |
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10.1007/s12206-021-0501-8 doi (DE-627)SPR050345869 (SPR)s12206-021-0501-8-e DE-627 ger DE-627 rakwb eng Zhou, Yunpeng verfasserin aut Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. Wind turbine (dpeaa)DE-He213 Gearbox (dpeaa)DE-He213 High-fidelity generator model (dpeaa)DE-He213 Fully coupled approach (dpeaa)DE-He213 Lee, Chengwu aut Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 35(2021), 12 vom: Dez., Seite 5273-5285 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:35 year:2021 number:12 month:12 pages:5273-5285 https://dx.doi.org/10.1007/s12206-021-0501-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2021 12 12 5273-5285 |
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10.1007/s12206-021-0501-8 doi (DE-627)SPR050345869 (SPR)s12206-021-0501-8-e DE-627 ger DE-627 rakwb eng Zhou, Yunpeng verfasserin aut Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. Wind turbine (dpeaa)DE-He213 Gearbox (dpeaa)DE-He213 High-fidelity generator model (dpeaa)DE-He213 Fully coupled approach (dpeaa)DE-He213 Lee, Chengwu aut Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 35(2021), 12 vom: Dez., Seite 5273-5285 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:35 year:2021 number:12 month:12 pages:5273-5285 https://dx.doi.org/10.1007/s12206-021-0501-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2021 12 12 5273-5285 |
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10.1007/s12206-021-0501-8 doi (DE-627)SPR050345869 (SPR)s12206-021-0501-8-e DE-627 ger DE-627 rakwb eng Zhou, Yunpeng verfasserin aut Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. Wind turbine (dpeaa)DE-He213 Gearbox (dpeaa)DE-He213 High-fidelity generator model (dpeaa)DE-He213 Fully coupled approach (dpeaa)DE-He213 Lee, Chengwu aut Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 35(2021), 12 vom: Dez., Seite 5273-5285 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:35 year:2021 number:12 month:12 pages:5273-5285 https://dx.doi.org/10.1007/s12206-021-0501-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 35 2021 12 12 5273-5285 |
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Zhou, Yunpeng |
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Zhou, Yunpeng misc Wind turbine misc Gearbox misc High-fidelity generator model misc Fully coupled approach Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines |
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Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines Wind turbine (dpeaa)DE-He213 Gearbox (dpeaa)DE-He213 High-fidelity generator model (dpeaa)DE-He213 Fully coupled approach (dpeaa)DE-He213 |
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evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines |
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Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines |
| abstract |
Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
| abstractGer |
Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
| abstract_unstemmed |
Abstract This study evaluates the influence of a high-fidelity generator model on the dynamic responses of the gears and bearings of a 1 MW wind turbine. Fully coupled aeroelastic-servo-control numerical models with simplified and high-fidelity generators of the wind turbine are established. The numerical models are then verified through comparisons with another software in terms of natural characteristics and dynamic responses in the time domain. Dynamic analyses of the numerical models of the wind turbine are conducted under several environmental conditions. The external dynamic load excitation and internal load effects of the gearbox of the wind turbine numerical models with the simplified and high-fidelity generators are compared. The long-term fatigue damage of the gears and bearings of the two numerical models is also calculated and compared. Results show that the high-fidelity generator model increases the gearbox’s external and internal load fluctuations due to power grid and generator control effects. The high-fidelity generator model results in higher fatigue damage of the gears and bearings in the gearbox in comparison with the fatigue damage in the simplified generator model. This study provides a crucial basis for the design and dynamic analysis of wind turbine gearboxes. © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
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Evaluating the influence of a high-fidelity generator model on the gearbox dynamic responses of wind turbines |
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https://dx.doi.org/10.1007/s12206-021-0501-8 |
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Lee, Chengwu |
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