The Energy Technology Partnership (ETP) has developed a collaborative knowledge exchange project involving 10 UK and Scottish SMEs operating in the wind sector.
The six-month project, involving an ETP PhD student from Heriot-Watt University supervised by Dr Wolf Fruh, is focused on demonstrating an improved technique for reliable wind resource assessment. Such assessments are vital to achieve good estimates of annual yield for a given wind generation site. Measure-Correlate-Predict (MCP) methods are widely used in the wind industry to overcome the challenge of assessing site characteristics in the absence of historical meteorological data. The MCP method
is utilised to producing estimates (hindcasts) of long-term wind characteristics at a site of interest using measurements from an established site at another location. However, typical MCP methods are based on a simplified assumption of the form of the dependency relation between the reference site and the target site of interest.
The ETP project is offering participating industry partners an opportunity to learn more about a new variant of MCP which seeks to improve the efficiency and accuracy of existing methods of wind resource assessment. In addition to giving participants an overview of established MCP methods, as well as an overview of the most recent advances in the field of MCP, the project will also offer companies a chance to utilise the new tool with internal wind datasets to demonstrate its potential value.
If any companies are interested in joining this live knowledge exchange project, please contact the ETP’s Darran Gardner for more information: Darran.firstname.lastname@example.org