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見﨑 豪之大学院海事科学研究科 海事科学専攻研究員
研究活動情報
■ 受賞- 2022年02月 日本風力エネルギー学会, 優秀発表賞, メソ気象モデルによって算出される空気密度の精度検証
- 2015年03月 日本風工学会, 平成26年度優秀修士論文賞, WRF計算値を用いた沿岸海域における水平風速勾配に関する研究
- ABSTRACT This paper reports the results of a validation experiment on dual and single scanning light detection and ranging (LiDAR) systems for near‐shore wind measurements. This experiment was conducted from November 2020 to August 2021 at the Mutsu Ogawara test site for offshore wind measurement in northern Japan. The accuracy of the wind speed and direction measured by dual and single scanning LiDAR systems (DSL and SSL, respectively) was investigated by comparing them with in situ observations by a 60‐m meteorological mast located approximately 1.5 km offshore. The accuracy of the SSL was found to be strongly influenced by the wind direction, whereas the 10‐min wind speeds and directions obtained by the DSL exhibited good agreement with the meteorological mast observations for all wind directions. In addition, a comparison of the turbulence intensity (TI) showed that the TI obtained by the SSL was significantly lower than that obtained by the cup anemometers, while that obtained by the DSL was in line with the cup observations. The accuracy of the potential annual energy production estimates was finally investigated. The results showed no apparent difference between the DSL and SSL. This long‐term experiment indicated that the SSL is suitable for assessing wind resources due to reduced technical and financial constraints in comparison to installing a meteorological mast offshore. However, the DSL would be useful for assessing not only wind resources but also site‐specific conditions, as it performed well for the TI measurements.Wiley, 2025年03月, Wind Energy, 28(4) (4)[査読有り]研究論文(学術雑誌)
- Accuracy Verification of Multiple Floating LiDARs at the Mutsu-Ogawara SiteFloating LiDAR systems (FLSs) may replace conventional offshore met masts, and they have been developed well in Europe. However, before using them in Japan, we must determine whether they demonstrate the same performance under the unique East-Asian meteorological and oceanographic conditions. Therefore, herein, we investigate the performance of FLSs by focusing on the differences among models. Four independent wind datasets from three FLSs were simultaneously verified against a reference met mast and vertical LiDAR at a Japanese site. The data availability was confirmed to vary from 62.7 to 98.0% over the period at 63 m. This was strongly affected by the system availability of the buoy and LiDAR, suggesting that buoy system robustness is key to better campaigns with higher data availability. The 10 min averaged wind speed and direction largely satisfied the Carbon Trust’s key performance indicators, with a low sensitivity to wave conditions depending on the buoy shape. The standard deviation of the wind speed and turbulence intensity had poorer accuracy than that of the 10 min averaged statistics because of the wave-induced buoy motion, especially for small buoys. In short, this paper provides an overview of a measurement by FLS in Japan. Also, the unique verification with multiple units suggests the need for a low-motion buoy or motion compensation to improve the measurement accuracy of the turbulence component.2024年07月, Energies, 17(13) (13), 3164, 英語[査読有り]研究論文(学術雑誌)
- This study aimed to establish numerical models to replicate wind conditions for nearshore waters, sensitive to onshore topography, and to compare the characteristics of computational fluid dynamic (CFD) and mesoscale models. Vertical Doppler light detection and ranging (LiDAR) observation data were measured at an onshore site, which showed that wind conditions were affected by thermodynamic phenomena, such as land and sea breeze, and dynamical effects from neighboring onshore topography. The estimation accuracy of the CFD model depended on the height of the LiDAR data input. A height close to the target, such as the hub height of wind turbines, seemed appropriate as input data, considering that the accuracy of the wind speed shear replicated in a CFD numerical model may be uncertain. The mesoscale model replicated the wind through the thermodynamic effect and reliably estimated wind speed over nearshore waters without observation correction. Larger estimation errors were detected in the CFD model than in the mesoscale model, as the former could not account for thermodynamic effects. Wind conditions in water areas near complex coastlines may also be formed by thermodynamic factors, making analysis using a mesoscale model advantageous.MDPI AG, 2022年10月, Resources, 11(11) (11), 100 - 100[査読有り]研究論文(学術雑誌)
- MDPI AG, 2020年02月, Atmosphere, 11(3) (3), 222 - 222[査読有り]研究論文(学術雑誌)
- 2019年07月, ENERGIES, 12(14) (14), 英語[査読有り]研究論文(学術雑誌)
- 一般社団法人 日本風力エネルギー学会, 2018年, 風力エネルギー, 42(4) (4), 72 - 79, 日本語[査読有り]
- 2015年, Proceedings of the International Offshore and Polar Engineering Conference, 2015-January, 706 - 712Comparison of WRF-based methods for wind resource assessment at an offshore site[査読有り]研究論文(国際会議プロシーディングス)
- 2014年, 風工学シンポジウム論文集, 23rd白浜沿岸海域におけるWRF及びMANALによる推定風速場の精度検証[査読有り]
- 2023年12月, 風力エネルギー利用シンポジウム, 45スキャニングライダーの観測設定に関する感度実験
- 2023年, 風力エネルギー利用シンポジウム(CD-ROM), 45th外洋におけるハブ高度風況推定技術の検討(その1)-WRF鉛直プロファイルの検証-
- 2023年, 風力エネルギー利用シンポジウム(CD-ROM), 45th複数の数値モデルを用いた岸沖方向における洋上風況推定精度の比較
- 日本風力エネルギー学会, 2023年, 風力エネルギー : 日本風力エネルギー学会誌 = Wind energy : journal of JWEA, 47(3) (3), 459 - 464, 日本語風況調査に用いるメソ気象モデルWRFの活用事例—特集 気象海象把握技術・ソフトウェアとサービス
- 2022年, 風力エネルギー利用シンポジウム(CD-ROM), 44th沿岸サイトにおける鉛直ライダーの観測特性
- 一般社団法人 日本風力エネルギー学会, 2022年, 風力エネルギー, 45(4) (4), 558 - 562, 日本語
- 一般社団法人 日本風力エネルギー学会, 2021年, 風力エネルギー利用シンポジウム, 43, 112 - 115, 日本語
- 一般社団法人 日本風力エネルギー学会, 2021年, 風力エネルギー利用シンポジウム, 43, 116 - 119, 日本語
- 2021年, 風力エネルギー利用シンポジウム, 43メソ気象モデルによって算出される空気密度の精度検証
- 一般社団法人 日本風力エネルギー学会, 2021年, 風力エネルギー利用シンポジウム, 43, 124 - 127, 日本語
- 2021年, 風力エネルギー利用シンポジウム, 43複雑地形における鉛直型ドップラーライダーの観測精度に関する研究(平均化による差異と補正手法の検討)
- 一般社団法人 日本風力エネルギー学会, 2020年, 風力エネルギー, 44(2) (2), 190 - 193, 日本語
- Together with LiDAR observation data at an onshore site, a CFD model and a Meso-scale model are used to estimate wind condition at an offshore site, approximately 2 km away from the onshore site. The LiDAR observation shows that the wind conditions in the study area are greatly affected by thermodynamic phenomenon such as land and sea breezes as well as by dynamical effects from neighboring onshore topography. It is found that since the CFD model cannot take into account such thermodynamical effects, it can have larger estimation errors than the Meso-scale model. A proper choice of the height the LiDAR data of which is used as input into CFD model seems to be a key to the success of the estimation.特定非営利活動法人 再生可能エネルギー協議会, 2018年, グランド再生可能エネルギー国際会議論文集, 1, 188 - 188, 英語
- This study investigates the performance of offshore wind simulation with the Weather Research and Forecasting model (WRF), using in-situ measurements from an onshore met mast and Galion scanning Lidars. A comparison with observations shows that the accuracy of WRF-simulated wind speed depends on the distance from coast and wind direction. It is also found that WRF underestimates a horizontal wind speed gradient in the shore-normal direction. This fact indicates that there is a risk that offshore wind resource can be underestimated, when it is estimated by using the WRF-simulated horizontal wind speed gradient together with the onshore met mast measurements.特定非営利活動法人 再生可能エネルギー協議会, 2018年, グランド再生可能エネルギー国際会議論文集, 1, 174 - 174, 英語
- For offshore wind resource assessment in nearshore waters with mesoscale model downscaling, it is important to evaluate the model-simulated horizontal wind speed gradient at a wind turbine hub height. This study investigates the accuracy of horizontal wind speed gradient simulated by the Weather Research and Forecasting model (WRF) using the observation from dual scanning lidar measurements on the coast of Kamisu in Japan. The accuracy validation shows that WRF underestimates horizontal wind speed gradient during the target period. In term of wind direction, the underestimation is more frequently found when wind blows from land sectors. It is moreover found that this underestimation cannot be improved by only changing the planetary boundary layer schemes in the WRF simulation.特定非営利活動法人 再生可能エネルギー協議会, 2018年, グランド再生可能エネルギー国際会議論文集, 1, 184 - 184, 英語
- 2018年, 日本気象学会大会講演予稿集, (113) (113)WRF計算用海面水温データセットMOSSTとIHSSTの比較
- 一般社団法人 日本風力エネルギー学会, 2017年, 風力エネルギー利用シンポジウム, 39, 261 - 264, 日本語
- 2016年, 日本気象学会関西支部例会講演要旨集(Web), (141) (141)沿岸域海上風況実測データを用いたWRF計算風速のバイアス特性の検討
- 2014年, 風力エネルギー利用シンポジウム, 36thメソ気象モデルWRFを用いた2種類の海上風推定手法の精度検証
- 2013年, 風力エネルギー利用シンポジウム, 35th沿岸海域におけるWRF水平風速勾配の計算精度
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