How Remote Sensors Are Making Solar Farms Smarter

What this episode covers

Episode 46 of The Climate Tech Podcast explores how a startup named Heliosense is using distributed fiber-optic sensors and machine learning to detect micro-cracks, hot spots, and soiling on solar panels in real time. Lucas explains how the technology works — sending laser pulses through a fiber cable running alongside panels and analyzing backscattered light for temperature and strain anomalies. Luna asks whether this approach can replace traditional thermal drone inspection. The discussion covers cost comparisons, field results from a 200-megawatt solar farm in Texas, and what this means for solar asset management as the industry scales toward terawatt-level installations. #Heliosense #SolarFarms #FiberOpticSensors #MachineLearning #AssetManagement #RenewableEnergy #ClimateTech #Business #Technology #Sustainability #Decarbonization #SolarPanel #DistributedSensing #DroneInspection #PredictiveMaintenance #TexasSolar #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of The Climate Tech Podcast with Fexingo: Energy, Sustainability, and Decarbonization Companies?

This episode is 9 minutes long.

When was this The Climate Tech Podcast with Fexingo: Energy, Sustainability, and Decarbonization Companies episode published?

This episode was published on June 12, 2026.

What is this episode about?

Episode 46 of The Climate Tech Podcast explores how a startup named Heliosense is using distributed fiber-optic sensors and machine learning to detect micro-cracks, hot spots, and soiling on solar panels in real time. Lucas explains how the...

Can I download this The Climate Tech Podcast with Fexingo: Energy, Sustainability, and Decarbonization Companies episode?

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