Assessment of offshore wind farm characteristics with the cloud resolving storm simulator: A case study in Japan |
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| Authors: | Fredrik Raak Yoshihiko Susuki Kazuhisa Tsuboki Masaya Kato Shinya Eguchi Takashi Hikihara |
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| Affiliation: | 1. Department of Electrical Engineering, Kyoto University, Kyoto 615‐8510, Japan;2. Department of Electrical and Information Systems, Osaka Prefecture University, Sakai 599‐8531, Japan;3. Institute for Space‐Earth Environmental Research (ISEE), Center for Integrated Data Science (CIDAS), Nagoya University, Nagoya 464‐8601, Japan;4. Wind Power Engineering Co. Ltd, Kamisu, Japan |
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| Abstract: | Wind conditions and output power characteristics of a wind farm in Japan are evaluated with highly resolved weather predictions from the so‐called cloud resolving storm simulator. One year of 30‐hour‐ahead predictions with 2‐km spatial resolution and 1‐hour time resolution are evaluated against 10‐minute averaged measurements (averaged to hourly data) from the wind farm. Also, extremely detailed shorter‐term predictions with 200‐m spatial resolution and 1‐second time resolution are evaluated against 1‐Hz measurements. For the hourly data, wind speeds are predicted with an RMSE of 3.0 to 3.5 m/s, and wind power with about 0.3 per unit. Wind direction is predicted with a standard deviation of errors of 16° to 28° for hourly data, and generally below 10° for the 1‐Hz data. We show that wind power variability—here in terms of increments—can be assessed on the timescale of several hours. The measured and predicted wind spectra are found similar on both short and long timescales. |
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| Keywords: | numerical weather prediction nacelle‐average wind speed measurements wind power forecasting |
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