Case Study: juwi Group achieves increased wind‑farm uptime and lower maintenance costs with Microsoft Azure

The cloud gives this renewables developer a glimpse into the future—and that’s a competitive advantage

juwi AG, a German developer and operator of wind and solar energy plants, faced growing pressure to increase uptime and reduce operating costs as customers became larger and competition intensified. Relying on SCADA for real‑time monitoring was no longer enough—juwi needed the ability to predict failures in order to plan maintenance, cut emergency costs, and stay competitive.

The company deployed Resolto Prognos on Microsoft Azure alongside SCADA to apply machine learning to high‑frequency plant data and send predictive alerts to technicians. The solution enabled planned parts procurement and maintenance windows, yielding an estimated 0.5% increase in windmill uptime (about €500,000 additional income per year for the fleet), lower repair costs, easier scaling of operations, and a stronger position for winning new business.

juwi Group

Thomas Weiss

Director of Plant Monitoring