In the realm of renewable energy, a revolution is unfolding, driven by Utility Scale Photovoltaics. Globally, solar energy is poised to surpass coal and natural gas, shaping the future of our power supply. In the United States, projections estimate a staggering 428 GW of new solar farm generation by 2033.
In this solar farm remote monitoring demonstration, we tackle two critical challenges:
- Operations and Maintenance: Reactive and preventative maintenance can lead to unplanned downtime, excessive costs, and reduced efficiency. Solar operators require the ability to proactively identify underperformance issues caused by weather, temperature, electrical failures, or mechanical fatigue. The goal is to catch these issues before they result in prolonged downtime.
- Supply Chain Issues: Limited parts visibility can lead to shortages, impacting installations and maintenance. Managing critical parts inventory and tracking warranties (which can last up to 25 years for solar panels and 10 years for inverters) is crucial.
To address these challenges, SAS and ClearBlade have joined forces. SAS provides automated machine learning and real-time decision-making for streaming data, while ClearBlade offers an advanced IoT platform for secure, real-time applications. Our demonstration illustrates the deployment of machine learning algorithms and decision management using this advanced IoT platform. The result? Predictive maintenance strategies at scale for solar operators, optimizing outage scheduling and supply chain decisions.
For more information about our capabilities and to request a demo, visit www.sas.com/ClearBlade.
