Methods for simulating wind speed and power data sets are traditionally divided into two categories: statistical techniques and Numerical Weather Prediction (NWP) models. Statistical techniques are often useful when ultra-high temporal or spatial resolution is needed, and only when a single or small number of sites are needed. For large-scale LY2603618 studies, NWP models are the preferred methodology, as they are able to simulate a large number of locations while maintaining the correlation of weather phenomena from one location to the next.
This article describes the WIND Toolkit in detail with the aim of making its utility understood to the wider grid integration and wind energy communities, and to help and accelerate wind integration studies. Section 2 describes the creation of the WIND meteorological and power data sets and Section 3 presents an analysis of those data sets. The Web interface is described in Section 4, and results discussed in Section 5, before we conclude in Section 6.