UNCERTAINTY IN WIND ENERGY YIELD PREDICTIONS
(M Sc. Group Project with Sgurr Energy)
 

   

Measure-Correlate-Predict (MCP) Method

MCP is a statistical technique used for predicting the long term wind resource at a proposed wind farm site by relating measurements from a short-term measurement campaign to the long term measurements at meteorological site. Wind speed and direction data are recorded simultaneously at both the sites over a recommended minimum period of one year.  The data has to be filtered to improve correlation quality. The concurrent data from proposed wind farm site and meteorological sites is binned according to the reference wind direction. For each direction bin, a straight line is fitted to the data by least square technique to relate the wind speeds of proposed wind farm site and meteorological sites. The coefficients slope, m and intercept, c are determined through linear regression. The long term reference data (recommended to be 10 years data at least) are binned according to wind direction and for each direction bin the corresponding coefficient are used to adjust the wind speeds accordingly producing predicted wind speed distribution for each sector. For complete reference of MCP technique, refer Derrik 1992 in literature review section.

Linear Regression Analysis

Two variables are related linearly if the change in their value is uniform. Linear regression is used to analyze the relationship between them. It finds the slope and intercept for a straight line that best fits the data.

Correlation Parameters

slope m: it represents the change in velocity of target site with respect to the reference site
intercept c: it gives the velocity of target site when the velocity of reference site is zero

Variation in Correlation Parameters

The main criterion for selection of a year to carry out linear regression is that the Pearson Correlation coefficient should be more than 0.7. Once we calculate the correlation parameters for one year, we do it for various years. We are capturing the variation in correlation parameters for Lynemouth (pseudo wind farm site) and Dumfries (meterological site) for 5 concurrant years.