Review status: this preprint is currently under review for the journal WES.
Design and analysis of a spatially heterogeneous wake
Alayna Farrell,Jennifer King,Caroline Draxl,Rafael Mudafort,Nicholas Hamilton,Christopher J. Bay,Paul Fleming,and Eric SimleyAlayna Farrell et al.Alayna Farrell,Jennifer King,Caroline Draxl,Rafael Mudafort,Nicholas Hamilton,Christopher J. Bay,Paul Fleming,and Eric Simley
Received: 28 Feb 2020 – Accepted for review: 13 Mar 2020 – Discussion started: 17 Mar 2020
Abstract. Methods of turbine wake modeling are being developed to more accurately account for spatially variant atmospheric conditions within wind farms. Most current wake modeling utilities are designed to apply a uniform flow field to the entire domain of a wind farm. When this method is used, the accuracy of power prediction and wind farm controls can be compromised depending on the flow-field characteristics of a particular area. In an effort to improve strategies of wind farm wake modeling and power prediction, FLOw Redirection and Induction in Steady State (FLORIS) was developed to implement sophisticated methods of atmospheric characterization and power output calculation. In this paper, we describe an adapted FLORIS model that features spatial heterogeneity in flow-field characterization. This model approximates an observed flow field by interpolating from a set of atmospheric measurements that represent local weather conditions. The adaptations were validated by comparing the simulated power predictions generated from FLORIS to the actual recorded wind farm output from the Supervisory Control And Data Acquisition (SCADA) recordings. This work quantifies the accuracy of wind plant power predictions under heterogeneous flow conditions and establishes best practices for atmospheric surveying for wake modeling.