Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design
Fatigue damage is a design-driving phenomenon for substructures of offshore wind turbines. However, fatigue design based on numerical simulations is quite uncertain. One main reason for this uncertainty is scattering offshore conditions combined with a limited number of simulations (samples). Accord...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/4/603 |
| _version_ | 1828113615812558848 |
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| author | Clemens Hübler Wout Weijtjens Cristian G. Gebhardt Raimund Rolfes Christof Devriendt |
| author_facet | Clemens Hübler Wout Weijtjens Cristian G. Gebhardt Raimund Rolfes Christof Devriendt |
| author_sort | Clemens Hübler |
| collection | DOAJ |
| description | Fatigue damage is a design-driving phenomenon for substructures of offshore wind turbines. However, fatigue design based on numerical simulations is quite uncertain. One main reason for this uncertainty is scattering offshore conditions combined with a limited number of simulations (samples). According to current standards, environmental conditions are sampled using a deterministic grid of the most important environmental conditions (e.g., wind speed and direction, significant wave height, and wave period). Recently, there has been some effort to reduce the inherent uncertainty of damage calculations due to limited data by applying other sampling concepts. Still, the investigation of this uncertainty and of methods to reduce it is a subject of ongoing research. In this work, two improved sampling concepts—previously proposed by the authors and reducing the uncertainty due to limited sampling—are validated. The use of strain measurement data enables a realistic estimate of the inherent uncertainty due to limited samples, as numerical effects, etc., are excluded. Furthermore, an extensive data set of three years of data of two turbines of the Belgian wind farm Northwind is available. It is demonstrated that two previously developed sampling methods are generally valid. For a broad range of model types (i.e., input dimensions as well as degrees of non-linearity), they outperform standard sampling concepts such as deterministic grid sampling or Monte Carlo sampling. Hence, they can reduce the uncertainty while keeping the sampling effort constant, or vice versa. |
| first_indexed | 2024-04-11T12:09:24Z |
| format | Article |
| id | doaj.art-5a0ed3136e794ed4b6253286a247c054 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:09:24Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5a0ed3136e794ed4b6253286a247c0542022-12-22T04:24:38ZengMDPI AGEnergies1996-10732019-02-0112460310.3390/en12040603en12040603Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue DesignClemens Hübler0Wout Weijtjens1Cristian G. Gebhardt2Raimund Rolfes3Christof Devriendt4Institute of Structural Analysis, Leibniz Universität Hannover, ForWind, Appelstr. 9a, D-30167 Hannover, GermanyOWI-lab, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussel, BelgiumInstitute of Structural Analysis, Leibniz Universität Hannover, ForWind, Appelstr. 9a, D-30167 Hannover, GermanyInstitute of Structural Analysis, Leibniz Universität Hannover, ForWind, Appelstr. 9a, D-30167 Hannover, GermanyOWI-lab, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussel, BelgiumFatigue damage is a design-driving phenomenon for substructures of offshore wind turbines. However, fatigue design based on numerical simulations is quite uncertain. One main reason for this uncertainty is scattering offshore conditions combined with a limited number of simulations (samples). According to current standards, environmental conditions are sampled using a deterministic grid of the most important environmental conditions (e.g., wind speed and direction, significant wave height, and wave period). Recently, there has been some effort to reduce the inherent uncertainty of damage calculations due to limited data by applying other sampling concepts. Still, the investigation of this uncertainty and of methods to reduce it is a subject of ongoing research. In this work, two improved sampling concepts—previously proposed by the authors and reducing the uncertainty due to limited sampling—are validated. The use of strain measurement data enables a realistic estimate of the inherent uncertainty due to limited samples, as numerical effects, etc., are excluded. Furthermore, an extensive data set of three years of data of two turbines of the Belgian wind farm Northwind is available. It is demonstrated that two previously developed sampling methods are generally valid. For a broad range of model types (i.e., input dimensions as well as degrees of non-linearity), they outperform standard sampling concepts such as deterministic grid sampling or Monte Carlo sampling. Hence, they can reduce the uncertainty while keeping the sampling effort constant, or vice versa.https://www.mdpi.com/1996-1073/12/4/603offshore wind energyfatigueuncertaintymonitoringstrain measurementssampling concepts |
| spellingShingle | Clemens Hübler Wout Weijtjens Cristian G. Gebhardt Raimund Rolfes Christof Devriendt Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design Energies offshore wind energy fatigue uncertainty monitoring strain measurements sampling concepts |
| title | Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design |
| title_full | Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design |
| title_fullStr | Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design |
| title_full_unstemmed | Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design |
| title_short | Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design |
| title_sort | validation of improved sampling concepts for offshore wind turbine fatigue design |
| topic | offshore wind energy fatigue uncertainty monitoring strain measurements sampling concepts |
| url | https://www.mdpi.com/1996-1073/12/4/603 |
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