JP7351029B2 - 複雑地形においてLiDARで風の流れの乱流を測定するためのシステムおよび方法 - Google Patents
複雑地形においてLiDARで風の流れの乱流を測定するためのシステムおよび方法 Download PDFInfo
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Description
データ同化の近似
風の流れの乱流
Claims (15)
- 地形の上方の一組の異なる高度における風の流れの乱流を、前記高度のうちの各高度における視線速度の一組の測定値から求めるための風流検知システムであって、前記風流検知システムは、
一組の時間ステップについて前記高度のうちの各高度ごとに前記地形の上方の見通し線ポイントにおける前記視線速度の一組の測定値を受けるように構成された入力インターフェイスと、
プロセッサとを備え、前記プロセッサは、
前記高度のうちの各高度ごとの速度場を、前記視線速度の測定値に適合する前記地形の上方の前記速度場のデータ同化に基づいて、推定するように構成され、前記速度場は、前記一組の時間ステップについて推定され、前記プロセッサはさらに、
各時間ステップごとに前記高度のうちの各高度における水平速度を、対応する前記時間ステップについて求められた前記推定された速度場の鉛直速度の対応する水平導関数で補正された、対応する前記視線速度の水平投影として、推定することによって、推定の偏りが除去された不偏水平速度を取得し、
前記高度のうちの各高度について、前記一組の時間ステップを含む期間の前記不偏水平速度の平均を求め、
前記高度のうちの各高度について、各時間ステップごとの前記不偏水平速度と前記不偏水平速度の平均とに基づいて、乱流を求めるように、構成され、前記風流検知システムはさらに、
前記高度のうちの各高度における前記乱流をレンダリングするように構成された出力インターフェイスを備える、風流検知システム。 - 前記データ同化は、前記風の流れの計算流体力学(CFD)のシミュレーションにより、または、ポテンシャル流れ近似を使用する分析流体力学近似により、実行される、請求項1に記載の風流検知システム。
- 前記プロセッサは、
入口速度場の境界条件を決定し、
前記CFDの前記シミュレーションを、前記境界条件で前記風の流れを規定するナビエ・ストークス方程式を解くことによって実行し、
終了条件が成立するまで前記境界条件を更新し前記シミュレーションを繰り返すように、構成される、請求項2に記載の風流検知システム。 - 前記プロセッサは、
前記地形の非凸形状を、一組の凸形状を用いて近似し、
入口速度場の境界条件を決定し、
前記境界条件で前記風の流れを規定するラプラス方程式の分析解を導出し、
終了条件が成立するまで前記境界条件を更新し前記シミュレーションを繰り返すように、構成される、請求項2に記載の風流検知システム。 - 前記乱流は、前記不偏水平速度の平均に対する乱流速度変動の二乗平均平方根の比率に応じて決まる前記乱流の強度を含む、請求項1に記載の風流検知システム。
- 前記乱流は、前記乱流速度変動の二乗平均平方根の和の二分の一に応じて決まる前記乱流の運動エネルギを含む、請求項5に記載の風流検知システム。
- 前記期間は10分の倍数であり、時間ステップ間の差は1秒の倍数である、請求項1に記載の風流検知システム。
- 前記水平速度を補正するように機械学習プログラムによって訓練された補正関数を格納するように構成されたメモリをさらに備え、前記プロセッサは、前記乱流を推定する前に前記水平速度を補正するために前記補正関数を適用する、請求項1に記載の風流検知システム。
- 前記補正関数は、ナビエ・ストークス方程式を解くことによって前記風の流れの計算流体力学(CFD)をシミュレートすることに基づいて求めた前記不偏水平速度とグラウンドトゥルースとの差を低減するように訓練される、請求項8に記載の風流検知システム。
- 前記補正関数は、近似された地形の上の前記風の流れを規定するラプラス方程式の分析解に基づいて求めた前記不偏水平速度とグラウンドトゥルースとの差を低減するように訓練される、請求項8に記載の風流検知システム。
- 前記高度のうちの各高度における前記不偏水平速度または前記高度のうちの各高度における前記乱流のうちの1つ以上に基づいて風力タービンを制御する、前記風力タービンのコントローラをさらに備え、前記風力タービンは、前記風流検知システムに作動的に接続される、請求項1に記載の風流検知システム。
- 地形の上方の一組の異なる高度における風の流れの乱流を、前記高度のうちの各高度における視線速度の一組の測定値から求めるための風流検知方法であって、前記方法は、前記方法を実現する格納された命令と結合されたプロセッサを使用し、前記命令は、前記プロセッサによって実行されると前記方法のステップを実行し、前記ステップは、
一組の時間ステップについて前記高度のうちの各高度ごとに前記地形の上方の見通し線ポイントにおける前記視線速度の一組の測定値を受けるステップと、
前記高度のうちの各高度ごとの速度場を、前記視線速度の測定値に適合する前記地形の上方の前記速度場のデータ同化に基づいて、推定するステップとを含み、前記速度場は、前記一組の時間ステップについて推定され、前記ステップはさらに、
各時間ステップごとに前記高度のうちの各高度における水平速度を、対応する前記時間ステップについて求められた前記推定された速度場の鉛直速度の対応する水平導関数で補正された、対応する前記視線速度の水平投影として、推定することによって、推定の偏りが除去された不偏水平速度を取得するステップと、
前記高度のうちの各高度について、前記一組の時間ステップを含む期間の前記不偏水平速度の平均を求めるステップと、
前記高度のうちの各高度について、各時間ステップごとの前記不偏水平速度と前記不偏水平速度の平均とに基づいて、乱流を求めるステップと、
前記高度のうちの各高度における前記乱流を出力するステップとを含む、風流検知方法。 - 前記データ同化は、前記風の流れの計算流体力学(CFD)のシミュレーションにより、または、ポテンシャル流れ近似を使用する分析流体力学近似により、実行される、請求項12に記載の風流検知方法。
- 前記乱流は、前記不偏水平速度の平均に対する乱流速度変動の二乗平均平方根の比率に応じて決まる前記乱流の強度を含む、請求項12に記載の風流検知方法。
- 前記乱流は、前記乱流速度変動の二乗平均平方根の和の二分の一に応じて決まる前記乱流の運動エネルギを含む、請求項14に記載の風流検知方法。
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US16/838,161 US11442076B2 (en) | 2020-04-02 | 2020-04-02 | System and method for wind flow turbulence measurement by LiDAR in a complex terrain |
US16/838,161 | 2020-04-02 | ||
PCT/JP2021/011285 WO2021200249A1 (en) | 2020-04-02 | 2021-03-12 | System and method for wind flow turbulence measurement by lidar in a complex terrain |
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KR102212524B1 (ko) * | 2020-07-15 | 2021-02-05 | 대한민국 | 기상 레이더의 소실된 시선속도 복원 방법, 이를 수행하기 위한 기록 매체 및 장치 |
WO2024049446A1 (en) * | 2022-09-02 | 2024-03-07 | FlightSafety International | System and method for simulating fluid flow |
CN115983137B (zh) * | 2023-01-31 | 2024-05-31 | 西安交通大学 | 基于相似性原理和深度学习的涡轮流场预测方法及相关装置 |
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