Drones, in combination with artificial intelligence, are helping to drive powerful insights, allowing teams to make better-informed decisions throughout the solar project development lifecycle.
How do you know when an inverter or module is under-performing? Monitoring services should shed light on problems but AI-driven digital asset manager Raycatch says much information is hidden behind a wall of “noise.” Breaking that wall with advanced data analysis could unlock billions of cost savings.
Every year, chemical and energy companies produce $15 billion worth of commodities such as carbon black, silicon oxide, and aluminum oxide, for manufacturing purposes. Engineers do this by pumping chemicals into a flame and collecting material formed in the fire, in an approach known as flame spray pyrolysis. This approach, according to scientists at Argonne National Laboratory, has the potential to create more advanced materials for use in next-generation storage batteries.
The solar panel-cleaning robot startup, which saw its sales jump 125 times last year, has thus far raised three levels of funding amounting to INR 2 crore from government bodies in India, Dubai, and Canada.
The Solar Mapper uses artificial intelligence algorithms that compile data extracted from satellite images. It can estimate site solar potential and indicate the most suitable technology.
Swiss-based SmartHelio claims to have witnessed a near 200% jump in demand for its deep-data driven solar asset management solution, which plugs into solar panels or energy storage systems. Sales of the internet-of-things enabled, cloud product have leapt in the last six months.
Doubling down on renewable energy investment and energy transition spending is required to ensure a truly green global recovery from the Covid-19 crisis and its economic aftershock, claims the International Renewable Energy Agency.
With the latest robotic cleaning offering, the startup aims to capture the residential solar market that currently stands at a capacity of 4400 MW and is expected to reach 8500 MW by the end of 2020.
The inefficiency and irregularity of cleaning the solar panels manually, and the associated use of water defeat the purpose of shifting to renewable energies.
The artificial intelligence powered inverter and PV management solution—which powers over 96% renewable capacity installed by Adani Green Energy—was also used for the 50 MW solar plant commissioned recently in Rajasthan.
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