Introduction
Wind distribution describes the frequency of wind speed samples at a given location at a given time range, providing crucial data for wind energy assessment, wind farm planning, and understanding local wind resources. It's analyzed using statistical models, such as the widely used Weibull distribution, to represent the probability of different wind speeds occurring and to model the overall wind resource's volatility and intermittency. Wind distribution is essential because sites with the same average wind speed can have different wind resources depending on the shape of their distribution.
Steps
Go to: Farsight > Wind Analysis > Wind Analysis
Input | Definition |
Frequency | Wind distribution frequency refers to the frequency at which different wind speed samples occur at a specific location within a specified time range. This is crucial for wind farm planning and energy generation. |
Weibull | The Weibull approximation models wind speed distribution using two parameters - a shape parameter (k) and a scale parameter (A or c), which together describe the frequency and magnitude of wind speeds at a given location. |
Rayleigh | The Rayleigh approximation for wind distribution is a Weibull distribution where the shape parameter (k) is set to 2, making it a simplified model used to describe the frequency of wind speeds. |
Frequency (filtered) | The same definition of frequency applies. The difference is the input used, since we calculate how often wind speed samples occur at a specific location at a specific time range, ONLY if those samples fall inside the selected wind direction range in the Wind Direction Filter on the top-right corner of the Wind Analysis page. |
Rayleigh (filtered) | The same definition of Rayleigh applies. The difference lies in the input used, as the wind speed samples used to calculate those distributions have been filtered according to the wind direction sectors the user configured in the "Filter Wind Direction" modal, located at the top-right corner of the Wind Analysis page. We're going to consider only wind speed samples that fall inside the selected wind direction range. |
Weibull (filtered) | Refers to applying a filtering process to data that has been or will be analyzed using the Weibull distribution, or using a Weibull distribution to filter data. Common applications include smoothing surface roughness data, improving image quality in SAR (Synthetic Aperture Radar) and other images by reducing noise, and enhancing melt quality in casting processes by removing inclusions. |
Toggle the Rayleigh on and off
Toggle the Weibull on and off
Use the 3 dots icon to either expand the table or export the table data
Use the magnifying glass icon to start the zoom-in process, and select the area of the table to zoom in. Click the reset icon next to it to reset the zoom effect
