A computational fluid dynamics approach to wind prospecting: Lessons from the U.S. Appalachian region

A number of technological, institutional and market developments have lowered the minimally economic viable wind speeds for wind power generation while contributing to increasing profitability of the wind power industry in recent decades. Yet, information on the potential for wind power generation is still highly uncertain in many regions of the globe, particularly those with complex terrain features. We focus on an area by the foothills of the Appalachian region. Because we do not have precise wind measurements for this area, we do not attempt to produce an actual wind map, but instead use a three-dimensional computational fluid dynamics model to demonstrate the calculation of high resolution wind speeds with complex terrain information. Using this approach, we show how finer wind speed information can impact the status of an overlooked region in terms of its wind potential and improve wind prospecting by enabling investors to focus on the most promising sub-regions of a study area. Since private sector investors might not have the incentive to invest in finer-scale wind resource assessment that can be easily observed by competitors, public sector incentives or direct investments can help to promote wind power generation in overlooked but viable regions.