Dione
Team info
Apoorva Arora
Master
Tavishi Guleria
Master
Sanjeev Mohan
Master
Rahul Vyas
Master
Dhruv Batheja
Master
Category
Clusters
Number of team members:

5

Are you looking for co-founders?

No

Dione

Data-powered solution to make renewable solar energy plants risk-resilient, smart and sustainable.

The challenge

Solar farms face critical challenges such as corrosion, panel defects (hot spots), natural deposits (e.g. salts, soil, dust, bird deposits, pollution). These issues decrease the energy generation efficiency of the panels (10-40%). The decrease in efficiency increases costs for the owners of these farms. The solar farms lack intelligence and required automation to identify, manage and prevent the above-mentioned risks and more such challenges. Customers across the solar energy lifecycle (owners, builders, operators, insurers) are looking for solutions that can identify, predict and enable mitigation of risks during operations to increase profits and ensure sustainability.

The solution

Our solution provides a complete end-to-end framework for data collection, processing, artificial intelligence(AI)-based analytics, and alerting system. Our product generates detailed reports of solar farm health. It identifies, predicts, and notifies potential risks, equipment damage, and cleaning requirements. The real-time data collection is empowered by state of art automated and coordinated swarm of drones. This enables smart and efficient monitoring, surveillance, and inspection of large solar farms. Our solution gets its intelligence from our powerful back-end that uses AI to give intelligent insights based on extensive solar farm data.

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TU Delft Campus

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Van der Burghweg 1

2628 CS Delft

info@tudelftcampus.nl

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