SUPERGEN Wind
Wind Energy Technology
SUPERGEN Wind Energy Technology
Energy Programme  
  Sustainable Power Generation and Supply - Phase 2  
 

 

Laith RashidLei

Academic background
Dr Rashid was awarded a first-class degree from the University of Manchester in Communications Engineering and then completed a PhD degree on the interaction of wind farms with radars. His active involvement with the industry provided him with a wide ranging knowledge and experience in radar siting optimisation, performance prediction and propagation modelling.

Research topic
Modelling the interference of wind farms with radar systems

Research background and objectives
Wind turbines are large structures with reflective surfaces and moving components. Their shape, size, location and orientation can cause a complex interaction with nearby radar systems. The radar signals can be reflected back to the radar receiver and may appear on the display. This can cause real targets (airplanes, ships etc) to be masked or disappear within the wind farm. This interference with radar systems is posing as a barrier to the development and deployment of wind farms.

As part of the Supergen programme, Dr Rashid is modelling the interaction of wind farms with radar systems. Complex reflection characteristics from the turbine (monostatic RCS, bistatic RCS, and Doppler signature) will be used to assess the impact of a complete wind on a given radar. This will then be used to devise possible mitigation measures through modifying the wind farm, radar or the turbine characteristics.

 
 
 
     
Last updated :
08-Apr-2011