How to arrange turbines on a wind farm in a way that minimizes wake interactions between them and optimizes energy production is the subject of intense research. But studies can be time-consuming, and standard modeling approaches can be expensive to simulate at scale how power production varies over different wind conditions.
LoCascio et al. developed a model that combines new analytic tools to predict annual energy production with a unique mathematical technique to determine wind farm layout optimization (WFLO). The researchers then analyzed the performance of their model, which they call FLOWERS, in the context of WFLO for wind farms ranging in size from 10 to 250 turbines.
“Even for the small wind farm of 10 turbines, our new approach is about 50 times faster in solving the optimization problem compared with the conventional reference approach,” said author Michael LoCascio. “For the…
