North America’s wind power industry has developed an unfortunate reputation for producing energy at levels less than those predicted by pre-construction energy assessments. Five factors are major contributors to over-prediction in energy assessments. These include flow-modeling bias, wake-model bias in some conditions, project availability, atmospheric stability, and long-term adjustments. This webinar will discuss ways to reduce the risk of these factors biasing a project energy assessment.

Attend this webinar to learn:
•Five factors that cause the over-prediction of wind farm energy assessments
•To ask the right questions to reduce uncertainty and over prediction, and thus make a project more attractive to investors
•To adequately address the issues surrounding wind-project resource and energy assessment