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AeroSyn Voices
Kunal
3 episodes
3 days ago
In this episode of the AeroSyn Voices Podcast, Kunal dives into the side of the wind industry that rarely makes it into public discussions. Beyond the headlines about offshore expansion, next-generation turbines, digital twins, and AI dashboards, the everyday reality of operating wind farms is far more complex. Kunal breaks down why modern tools often fall short, how operators are overwhelmed with fragmented SCADA and inspection data, and why predictive models struggle with mixed fleets and s...
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In this episode of the AeroSyn Voices Podcast, Kunal dives into the side of the wind industry that rarely makes it into public discussions. Beyond the headlines about offshore expansion, next-generation turbines, digital twins, and AI dashboards, the everyday reality of operating wind farms is far more complex. Kunal breaks down why modern tools often fall short, how operators are overwhelmed with fragmented SCADA and inspection data, and why predictive models struggle with mixed fleets and s...
Show more...
Arts
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Wind energy in 2025
AeroSyn Voices
7 minutes
2 weeks ago
Wind energy in 2025
Wind energy is changing faster in 2025 than it has in the last decade, and in this episode we dive into what’s actually happening behind the headlines. We talk about the global push toward large-scale wind deployment, the massive rise of offshore projects, and how new technology like AI, digital twins, and predictive maintenance are reshaping turbine operations. We also dig into the real challenges: intermittency, storage limitations, permitting issues, and why communities sometimes push ba...
AeroSyn Voices
In this episode of the AeroSyn Voices Podcast, Kunal dives into the side of the wind industry that rarely makes it into public discussions. Beyond the headlines about offshore expansion, next-generation turbines, digital twins, and AI dashboards, the everyday reality of operating wind farms is far more complex. Kunal breaks down why modern tools often fall short, how operators are overwhelmed with fragmented SCADA and inspection data, and why predictive models struggle with mixed fleets and s...