A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

Z. Feng; R. Ferrari; J. W. van Wingerden; Y. Liu

doi:10.1201/9781003360773-4

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

Z. Feng, R. Ferrari, J. W. van Wingerden, Y. Liu

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The proposed WRF-IWT model are validated by comparing the results with those derived from the Fatigue, Aerodynamics, Structures, and Turbulence (FAST).

Original language	English
Title of host publication	Trends in Renewable Energies Offshore
Subtitle of host publication	Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022
Editors	C. Guedes Soares
Publisher	CRC Press / Balkema - Taylor & Francis Group
Pages	25-32
ISBN (Print)	978-1-032-42003-5
DOIs	https://doi.org/10.1201/9781003360773-4
Publication status	Published - 2023
Event	5th International Conference on Renewable Energies Offshore, RENEW 2022 - Lisbon, Portugal Duration: 8 Nov 2022 → 10 Nov 2022

Conference

Conference	5th International Conference on Renewable Energies Offshore, RENEW 2022
Country/Territory	Portugal
City	Lisbon
Period	8/11/22 → 10/11/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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Feng, Z., Ferrari, R., van Wingerden, J. W., & Liu, Y. (2023). A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. In C. G. Soares (Ed.), Trends in Renewable Energies Offshore: Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022 (pp. 25-32). CRC Press / Balkema - Taylor & Francis Group. https://doi.org/10.1201/9781003360773-4

Feng, Z. ; Ferrari, R. ; van Wingerden, J. W. et al. / A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. Trends in Renewable Energies Offshore: Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022. editor / C. Guedes Soares. CRC Press / Balkema - Taylor & Francis Group, 2023. pp. 25-32

@inproceedings{7b63cfed7fb74305be3180feeda78a47,

title = "A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions",

abstract = "Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The proposed WRF-IWT model are validated by comparing the results with those derived from the Fatigue, Aerodynamics, Structures, and Turbulence (FAST).",

author = "Z. Feng and R. Ferrari and {van Wingerden}, {J. W.} and Y. Liu",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 5th International Conference on Renewable Energies Offshore, RENEW 2022 ; Conference date: 08-11-2022 Through 10-11-2022",

year = "2023",

doi = "10.1201/9781003360773-4",

language = "English",

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}

Feng, Z, Ferrari, R , van Wingerden, JW & Liu, Y 2023, A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. in CG Soares (ed.), Trends in Renewable Energies Offshore: Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022. CRC Press / Balkema - Taylor & Francis Group, pp. 25-32, 5th International Conference on Renewable Energies Offshore, RENEW 2022, Lisbon, Portugal, 8/11/22. https://doi.org/10.1201/9781003360773-4

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. / Feng, Z.; Ferrari, R.; van Wingerden, J. W. et al.
Trends in Renewable Energies Offshore: Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022. ed. / C. Guedes Soares. CRC Press / Balkema - Taylor & Francis Group, 2023. p. 25-32.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Feng, Z.

AU - Ferrari, R.

AU - van Wingerden, J. W.

AU - Liu, Y.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The proposed WRF-IWT model are validated by comparing the results with those derived from the Fatigue, Aerodynamics, Structures, and Turbulence (FAST).

AB - Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The proposed WRF-IWT model are validated by comparing the results with those derived from the Fatigue, Aerodynamics, Structures, and Turbulence (FAST).

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BT - Trends in Renewable Energies Offshore

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Feng Z, Ferrari R , van Wingerden JW, Liu Y. A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. In Soares CG, editor, Trends in Renewable Energies Offshore: Proceedings of the 5th International Conference on Renewable Energies Offshore, RENEW 2022. CRC Press / Balkema - Taylor & Francis Group. 2023. p. 25-32 doi: 10.1201/9781003360773-4

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

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