Imagine the confusion and frustration of a wind farm owner when a monthly operator report indicates expected wind resource, good production-based availability but below budget energy production. This scenario is surprisingly common.
While increasing production-based availability affords wind farm operators the best opportunity of maximising energy production, turbines often perform sub-optimally due to a variety of reasons such as incorrect pitch settings, derated power set-points, incorrect curtailment regimes (e.g. bird/bat/shadow-flicker/wind-sector-management) and yaw-misalignment to name but a few.
The data analysis module within GPM Horizon allows visualisation of any SCADA variable to rapidly identify issues without a-priori knowledge or to further investigate the cause of a custom alert, e.g. curtailment period.
Further, turbine event classification in GPM Horizon allows energy losses associated with each event type to be aggregated in a loss waterfall chart to describe differentials (if any) between budget and actual energy production for a given period.
To further aid deeper analytics of under-performance, DNV’s digital twin, WindGEMINI can be deployed in conjunction within GPM Horizon. A digital twin is a numerical representation of the turbine asset. They are an emerging digital asset class specifically created to assist O&M decision making. Through a series of numerical analyses, a digital twin automatically compares the actual to expected behaviour using both standard 10-minute and high frequency SCADA data.
Lastly, GPM Horizon’s fully flexible reporting module allows bespoke customer analysis at automated intervals in dedicated templates or data transfer to customers internal and external Software packages is facilitated via an API.
GPM Horizon. One tool, a world full of possibilities.