Data driven sustainable asset management that applies a diagnostics algorithm to actively monitor the performance of solar electric power generation assets. This results in data driven maintenance activity decisions in combination with the asset owners’ financial interests, ensuring the optimum balance between performance and financial drivers.
About the speaker:
Earl Duran, Tech Lead, Diagno Energy
Earl is a quantitative scientist whose thesis centered on exploring the drivers of climate change in Australia using climate big data. Today, he holds a key role as a Tech Lead at Diagno Energy, where he leads the development of a renewable asset optimization service, integrating his expertise in product development and machine learning. Earl and his team at Diagno Energy are addressing major inefficiencies in the operation and maintenance of solar and enhancing fault detection and diagnostic methods for commercial and industrial solar.
This session forms the final in a webinar series presented by MRiAM – Safe and Smart: Use of Technology for Remote Monitoring of Assets.
How do we remove people from dangerous conditions and situations and do our remote monitoring smarter? The Maintenance & Reliability in Asset Management special interest group presents this 5-part series where we look at different types of technologies that can be employed to reduce the risk to people and property.
Join us online and take the opportunity to look into techniques that are less familiar and can be adapted to your industry, or learn more about what others are doing within your own industry!
Registering for this session will register you for all five sessions in the series: