Adaptive detection and correction method for anomalous wind speed

2016 ◽  
Author(s):  
Wei Chen ◽  
Butuo Wu ◽  
Xiping Pei ◽  
Hongqiang Yan
Keyword(s):  
Wind Speed ◽  
Correction Method ◽  
Adaptive Detection ◽  
Anomalous Wind

scholarly journals Correction Method for Numerically Forecast Wind Speed Data of MSM-GPV Using CNN

2020 ◽  
Vol 24 (4) ◽  
pp. 195-198
Author(s):  
Daichi Horihata ◽  
Hiroshi Suzuki ◽  
Takahiro Kitajima ◽  
Akinobu Kuwahara ◽  
Takashi Yasuno ◽  
...  
Keyword(s):  
Wind Speed ◽  
Correction Method ◽  
Wind Speed Data

scholarly journals A study on wind speed correction method of lattice tower mast using CFD simulation

2018 ◽  
Vol 84 (862) ◽  
pp. 18-00042-18-00042
Author(s):  
Nobutoshi NISHIO ◽  
Shinichi INABA ◽  
Yuta YOSHIDA ◽  
Akihiro SATO ◽  
Tsuyoshi TAMUKAI ◽  
...  
Keyword(s):  
Wind Speed ◽  
Cfd Simulation ◽  
Correction Method ◽  
Lattice Tower

scholarly journals A physically based method for correcting temperature data measured by naturally ventilated sensors over snow

2001 ◽  
Vol 47 (159) ◽  
pp. 665-670 ◽  
Author(s):  
Martin Arck ◽  
Dieter Scherer
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Measurement Errors ◽  
Correction Method ◽  
Temperature Data ◽  
Heat Fluxes ◽  
Shortwave Radiation ◽  
Low Wind Speed ◽  
Snowmelt Period ◽  
Physically Based

AbstractDuring the snowmelt period in 1998, air-temperature data were acquired at 1 min intervals using different measurement systems as part of a field campaign in the Kärkevagge, Swedish Lapland. A comparison reveals that temperatures from naturally ventilated sensors exceed temperatures from aspirated sensors by as much as 6.2 K. Errors in temperature are closely connected to high values of upwelling shortwave radiation and are larger in periods of low wind speed. Measurement errors result from the instantaneous radiation conditions and propagate over the next measurements due to slow response time of the naturally ventilated sensor. A physically based method is developed for correcting temperature data influenced by radiation errors, which requires additional measurements of wind speed and upwelling shortwave radiation. Coefficients of the correction formula are automatically determined from the erroneous temperature data, so the method is independent of accurate air-temperature measurements. The high quality of the correction method could be validated by accurate psychrometer measurements. One of the most important applications is the computation of sensible-heat fluxes from snow-covered surfaces during the snowmelt period using the bulk-aerodynamic method, which is greatly improved by the new correction method.

scholarly journals An Innovative Correction Method of Wind Speed for Efficiency Evaluation of Wind Turbines

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 46
Author(s):  
Alessio Carullo ◽  
Alessandro Ciocia ◽  
Gabriele Malgaroli ◽  
Filippo Spertino
Keyword(s):  
Wind Speed ◽  
Wind Turbines ◽  
Wind Farm ◽  
Southern Italy ◽  
Wind Farms ◽  
Correction Method ◽  
Turbine Rotor ◽  
Meteorological Station ◽  
Efficiency Evaluation ◽  
Horizontal Axis Wind Turbines

The performance of horizontal axis Wind Turbines (WTs) is strongly affected by the wind speed entering in their rotor. Generally, this quantity is not available, because the wind speed is measured on the nacelle behind the turbine rotor, providing a lower value. Therefore, two correction methods are usually employed, requiring two input quantities: the wind speed on the back of the turbine nacelle and the wind speed measured by a meteorological mast close to the turbines under analysis. However, the presence of this station in wind farms is rare and the number of WTs in the wind farm is high. This paper proposes an innovative correction, named “Statistical Method” (SM), that evaluates the efficiency of WTs by estimating the wind speed entering in the WTs rotor. This method relies on the manufacturer power curve and the data measured by the WT anemometer only, thus having the possibility to be also applied in wind farms without a meteorological station. The effectiveness of such a method is discussed by comparing the results obtained by the standard methods implemented on two turbines (rated power = 1.5 MW and 2.5 MW) of a wind power plant (nominal power = 80 MW) in Southern Italy.

scholarly journals Direct Flux Measurements from Mobile Platforms at Sea: Motion and Airflow Distortion Corrections Revisited

2015 ◽  
Vol 32 (6) ◽  
pp. 1163-1178 ◽  
Author(s):  
Sebastian Landwehr ◽  
Niall O’Sullivan ◽  
Brian Ward
Keyword(s):  
Wind Speed ◽  
Correction Method ◽  
New Method ◽  
Wind Vector ◽  
Mean Flow ◽  
Mobile Platforms ◽  
Flow Distortion ◽  
Scalar Fluxes ◽  
Flux Measurements ◽  
Bulk Model

AbstractShip-based measurements of wind speed and direct fluxes are affected by airflow distortion that can lead to a tilt of the wind vector as well as acceleration or deceleration of the wind speed. Direct flux measurements are additionally affected by the fluctuating velocity of the platform. The classic approach is to first correct the wind speed for angular and translational platform velocities and thereafter rotate the wind vector into the mean flow. This study finds that for ships under way, this leads to an overestimation of the vector tilt and biased flux estimates. This may explain the common observation that flux estimates from ships in transit have lower quality than measurements taken on station. Here an alternative approach is presented, where the flow-distortion-induced tilt of the wind vector is estimated from the 3D wind speed measurements and applied to the apparent wind vector. The tilt correction is carried out after correction for the fluctuating part of the platform velocity but before removing the ship’s mean translational velocity. This new method significantly improved the agreement of direct momentum flux measurements made from a ship under way with the parameterization of the COARE3.5 bulk model. The sensitivity of the eddy covariance measurements of momentum and scalar fluxes to the choice of the tilt-motion correction method is analyzed, and this study proposes that a reanalysis of previous direct flux measurements with the new method discussed here can improve researchers’ understanding of air–sea interaction.

scholarly journals A robust method for removal of glint effects from satellite ocean colour imagery

2014 ◽  
Vol 11 (6) ◽  
pp. 2791-2829 ◽  
Author(s):  
R. K. Singh ◽  
P. Shanmugam
Keyword(s):  
Wind Speed ◽  
Geographical Location ◽  
Processing System ◽  
Correction Method ◽  
Measured Signal ◽  
Ocean Colour ◽  
Tropical Regions ◽  
In Situ Data ◽  
Background Absorption

Abstract. Removal of the glint effects from satellite imagery for accurate retrieval of water-leaving radiances is a complicated problem since its contribution in the measured signal is dependent on many factors such as viewing geometry, sun elevation and azimuth, illumination conditions, wind speed and direction, and the water refractive index. To simplify the situation, existing glint correction models describe the extent of the glint-contaminated region and its contribution to the radiance essentially as a function of the wind speed and sea surface slope that often lead to a tremendous loss of information with a considerable scientific and financial impact. Even with the glint-tilting capability of modern sensors, glint contamination is severe on the satellite-derived ocean colour products in the equatorial and sub-tropical regions. To rescue a significant portion of data presently discarded as "glint contaminated" and improving the accuracy of water-leaving radiances in the glint contaminated regions, we developed a glint correction algorithm which is dependent only on the satellite derived Rayleigh Corrected Radiance and absorption by clear waters. The new algorithm is capable of achieving meaningful retrievals of ocean radiances from the glint-contaminated pixels unless saturated by strong glint in any of the wavebands. It takes into consideration the combination of the background absorption of radiance by water and the spectral glint function, to accurately minimize the glint contamination effects and produce robust ocean colour products. The new algorithm is implemented along with an aerosol correction method and its performance is demonstrated for many MODIS-Aqua images over the Arabian Sea, one of the regions that are heavily affected by sunglint due to their geographical location. The results with and without sunglint correction are compared indicating major improvements in the derived products with sunglint correction. When compared to the results of an existing model in the SeaDAS processing system, the new algorithm has the best performance in terms of yielding physically realistic water-leaving radiance spectra and improving the accuracy of the ocean colour products. Validation of MODIS-Aqua derived water-leaving radiances with in-situ data also corroborates the above results. Unlike the standard models, the new algorithm performs well in variable illumination and wind conditions and does not require any auxiliary data besides the Rayleigh-corrected radiance itself. Exploitation of signals observed by sensors looking within regions affected by bright white sunglint is possible with the present algorithm when the requirement of a stable response over a wide dynamical range for these sensors is fulfilled.

scholarly journals “Section to Point” Correction Method for Wind Power Forecasting Based on Cloud Theory

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Dunnan Liu ◽  
Yu Hu ◽  
Yujie Xu ◽  
Canbing Li
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Correction Method ◽  
Relational Model ◽  
Forecasting Accuracy ◽  
Wind Power Forecasting ◽  
Wind Speed Forecasting ◽  
The Stability ◽  
Cloud Theory ◽  
Power Forecasting

As an intermittent energy, wind power has the characteristics of randomness and uncontrollability. It is of great significance to improve the accuracy of wind power forecasting. Currently, most models for wind power forecasting are based on wind speed forecasting. However, it is stuck in a dilemma called “garbage in, garbage out,” which means it is difficult to improve the forecasting accuracy without improving the accuracy of input data such as the wind speed. In this paper, a new model based on cloud theory is proposed. It establishes a more accurate relational model between the wind power and wind speed, which has lots of catastrophe points. Then, combined with the trend during adjacent time and the laws of historical data, the forecasting value will be corrected by the theory of “section to point” correction. It significantly improves the stability of forecasting accuracy and reduces significant forecasting errors at some particular points. At last, by analyzing the data of generation power and historical wind speed in Inner Mongolia, China, it is proved that the proposed method can effectively improve the accuracy of wind speed forecasting.

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