4-1-2 Observation of wind-turbine wakes and development of prediction models to improve utilization of offshore wind farms
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- MURAKAMI Reo
- Tokyo Gas Co., Ltd.
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- YAMAZAKI Masahide
- Tokyo Gas Co., Ltd.
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- HIDAKA Kunihiko
- Tokyo Gas Co., Ltd.
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- IINO Teppei
- Tokyo Gas Co., Ltd.
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- BABA Yoshitaka
- Tokyo Gas Co., Ltd.
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- UCHIDA Takanori
- Kyushu University
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- TAKAKUWA Susumu
- Japan Renewable Energy Co., Ltd.
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- WATANABE Keiichiro
- Japan Renewable Energy Co., Ltd.
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- HASEGAWA Seiya
- Japan Renewable Energy Co., Ltd.
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- FUJIKAWA Rintaro
- Japan Renewable Energy Co., Ltd.
Bibliographic Information
- Other Title
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- 4-1-2 洋上風力発電所の利用率向上に向けた風車ウエイクの観測と予測モデルの開発
Description
<p>In offshore wind firm, wind turbines are densely placed in a narrow area, and a wind speed attenuation and strong turbulence generated behind the turbines, known as wakes, cause decrease power with other wind turbines. In this study, to clarify the wind speed attenuation as a function of the distance from the wind turbine, we measured the wakes of the 3.3 MW wind turbine in commercial operation and the small model wind turbine installed in a wind tunnel. Furthermore, we applied this wake data to machine learning to develop new wake prediction models, which showed wind speed profiles within a relative error of 5%.</p>
Journal
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- Proceedings of the Annual Conference of The Japan Institute of Energy
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Proceedings of the Annual Conference of The Japan Institute of Energy 32 (0), 68-69, 2023-08-01
The Japan Institute of Energy
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Details 詳細情報について
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- CRID
- 1390297228018075520
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- ISSN
- 24238325
- 24238317
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed