The Uptime Wind Energy Podcast

IntelStor Insights into Wind Turbine Blade O&M Costs


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Phil Totaro, CEO of IntelStor, dives deep into the latest trends and data surrounding onshore wind turbine blade operations and maintenance costs. He discusses the strategies and innovations being employed to optimize blade performance, reduce downtime, and drive down costs.
Sign up now for Uptime Tech News, our weekly email update on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard's StrikeTape Wind Turbine LPS retrofit. Follow the show on Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes' YouTube channel here. Have a question we can answer on the show? Email us!
Pardalote Consulting - https://www.pardaloteconsulting.comWeather Guard Lightning Tech - www.weatherguardwind.comIntelstor - https://www.intelstor.com
Allen Hall: Welcome to the Uptime Wind Energy Podcast. I'm your host, Allen Hall. As the wind energy industry continues to grow and mature, the focus on reducing costs and improving efficiency has never Been more important. Operations and maintenance costs can account for a significant portion of the total cost of energy production, making it a critical area of concern for wind farm operators and energy users alike.
In this episode, Phil Totaro, CEO and founder of IntelStor, will share the latest data and trends related to Onshore Wind Turbine Blade Operations and maintenance costs, which everybody's wondering about is going to provide some valuable insights into the current state of the blade industry and how we manage blades.
You also discussed some of the strategies, innovations being employed to optimize blade performance, reduce downtime, and ultimately. Drive down costs, so whether you're a wind farm operator, an energy user, or just simply interested in the future of renewable energy, this is an episode you won't want to miss.
Welcome again. Thanks, Allen. Thanks for having me. So the IntelStor report you just published, and there's some news about it on LinkedIn, is really fascinating because Joel and I have been wandering around Oklahoma and Texas and other parts of the country looking at blades. And there is a lot of concern.
About the costs associated with damaged blades and how to forecast that and how to appropriately budget for them, particularly in terms of all the new types of blades that are being introduced, the bigger generators, the three megawatts, the four megawatts, the six megawatt machines versus the one and a half and two megawatts that we're kind of used to it becomes really a guessing game for a lot of operators because they don't have a sense of How much is it going to cost me to operate this turbine, and how do I manage that, and how do I appropriately schedule my technicians?
Like, how many technicians do I need for a season? These are subjects that come up all the time, and, and if you've been around anywhere in Canada or the United States over the last year, there's so much more talk about it now. And this is where your new tool comes in, your Onshore tool. Basically estimator or looking at turbine size versus the types of damage a blade may suffer.
Phil, will you, will you walk us through what this tool is at the top
Philip Totaro: level? Sure. Of course. So, What we have been repeatedly getting asked about is, for the ISPs we work with, they want to understand the, a detailed market forecast. And the only way to get to a detailed market forecast is, we obviously know based on the work that we already do, how much capacity we're expecting to be installed.
And that's not based on like estimates, that's based on actual pipeline of turbines. And so we know in markets like the United States or Brazil, where, there's reasonably good detailed publication of those turbine sizes, we, we've built out that, that pipeline. But what we then needed to do was determine, all right, how many of those units are going to be online within the nex...
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The Uptime Wind Energy PodcastBy Allen Hall, Rosemary Barnes, Joel Saxum & Phil Totaro

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