A UK firm says that technology used in the aerospace and defence industries could help solar farm owners to reduce operations and maintenance costs by one-fifth.
Senseye's technology is based on predictive software that can predict the future technical and financial performance of assets such as solar panels. The firm has launched a web-based software trial and is inviting solar farm owners to participate at no cost.
In the aerospace and defence industries, complex condition monitoring systems are used to predict engine performance component wear rates, safety failures and optimization opportunities. Senseye says that this technology can be used in the renewable energy industry to enable asset owners to share accurate revenue forecasts with their financiers and forecast more accurately metrics such as equipment performance.
"Accurate predictive software has been used for over 10 years in the aerospace industry," said Simon Kampa, Senseye's CEO. "Unfortunately, it's expensive and complex, requiring exceptionally well-trained data scientists to drive it.
"We're changing that with Senseye, by giving the renewable energy market predictive technology that people can use without a background in data science and for less than the cost of a solar panel."
Richard Hall, Green Growth Programme Manager at Future Solent, a low-carbon initiative in the south of England, said: "The kind of technology used in Aerospace to improve business efficiency, predict faults and achieve a 20 per cent overall cost saving has until now been too expensive for solar farm owners and operators to consider.
"The simple-to-use prediction software that Senseye is developing will allow businesses to do things like forecast when equipment will fail and what their revenues are likely to be so that they can plan more efficiently and get the most from their assets."
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