Managing asset health and forecast supply and demand with renewable energy analytics
Cost of energy produce (COEP) and maintaining plants for life span
Renewable projects are remotely located and widely spread in Geographies.
Most of the plants are SACDA connected and retrieving knowledge from these data for informed decision making for improving the availability, reliability and stopping sudden failure is crucial.
So along with monitoring equipment health and performance, revealing knowledge from rich data set is a key step for future.
Managing asset health and forecast supply and demand
Defour participates in the corporate strategy of maintenance ? from Reactive to predictive and to condition based maintenance.
Our Analytics team closely works together with the industry people by analyzing the industrial data/ sensor data and warnings to come out with pattern which requires a predictive analytics solution to get real-time insights.
Pattern assesses the risk and potential consequences associated with each monitored asset so as to avoid failure.
Result of this can be seen in improving reliability and availability, optimizing maintenance strategy and increasing annual energy production.