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PowerCurve’s Innovative Performance Analysis

Nicholas Gaudern, CTO of Denmark-based Power Curve, discusses how advanced blade scanning, aerodynamic upgrades, and the AeroVista tool are transforming wind turbine performance analysis. PowerCurve helps operators use real data to maximize AEP and make smarter decisions about blade maintenance and upgrades.

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!

Allen Hall: Nicholas, welcome back to the podcast. Hi. Thanks Allen. Good to see you again. There’s a lot going on in wind right now. Obviously the elections that happy the United States are changing the way that a lot of US based operators are thinking about their turbines and, and particularly their blades.

I’ve noticed over the last, even just couple of weeks that. Operators and the engineers are paying more attention to what they’re actually getting on site.

Nicholas Gaudern: Yes.

Allen Hall: Instead of, uh, the sort of the full service agreement where, hey, they’re under warranty for two years, I don’t really need to do anything for a little while approach.

That’s changing into, I want to know what arrives on site, what am I getting and what problems are there with these particular blades that I may not know about because they’re new to me. Even though these blades, there may be thousands of these blades out in service. Mm-hmm. Me, my company doesn’t know.

Yep. How they operate. How they perform, particularly at this, this new site, I’m Repowering or, [00:01:00] or building new. That is a complete shift. From where it was a year ago, two years ago, five years ago. Yeah. And I think the biggest performance piece that people are looking at is aerodynamics, and I’m trying to understand how these blades perform, how they move.

Yes. What kind of loads there are, what kind I expect over the next year or two. And I think they’re just becoming now aware of maybe I need to have a game plan.

Nicholas Gaudern: Mm-hmm.

Allen Hall: And I, and that’s where power curve comes in, is like in the sense of have a king plan. Understand what these plates are all about. Yeah, yeah.

And try to characterize ’em early rather than later.

Nicholas Gaudern: Yeah, exactly. I think there’s been an increased focus on, on data and for operators, as you say, to understand more what they’re getting and not necessarily relying on just what they’re told. So, uh, I think a nice case study of that is last year we were helping a customer to build a, a digital twin.

Uh, of one of their turbine models that they, that they purchased. So what that involved [00:02:00] is, uh, going to site, doing a laser scan of a blade, understanding geometry, helping them to build up some aerodynamic and structural models of that blade. So then that customer was going to build an AEL model themselves of that turbine so that they could run load calculations.

They could look at, uh, site specific, uh, changes that could be relevant to that turbine’s configuration or how they operated it. And this isn’t really something that you saw a lot of, uh, a few years ago, but I think it’s great that operators, particularly when they have a larger engineering capacity, are starting to get into that game.

Uh, and it’s tough because it’s a lot of what the OEMs do, it’s their kind of specialist knowledge, but there’s a lot of smart people out there. Uh, there’s a lot of companies you can work with to help gather that data and build these products up.

Allen Hall: The OEMs right now are. Lowering the number of engineers.

Nicholas Gaudern: Mm-hmm.

Allen Hall: Staff reductions. Yeah. Uh, so getting a hold of somebody on the engineering staff, particularly with aerodynamics, can be quite hard. Yes. And in fact, I’ve talked to [00:03:00] some smaller operators that can’t get access to those people at all.

Nicholas Gaudern: No, no. We, we get told that a lot that, um, there’s, there’s customers calling OEMs and they, yeah.

They can’t, they can’t speak to anyone who really understands that the issues that they’re facing. But free now we, we have contact with a lot of OEMs. I would say that we have more aerodynamicists and power curve than some OEMs have now. Oh, that’s true. And that’s quite, that’s true. Surprising. You know.

Um, so it does mean that I think from a customer support perspective, it is harder for the OEMs to take on some of those really detailed or nuanced questions that an operator may have.

Allen Hall: Right. Operators are getting smarter.

Nicholas Gaudern: Yep.

Allen Hall: And asking more pointed questions, not generic questions anymore. Uh, we’ve had, uh, junker on the podcast and I, when I ran into her last summer, she was basically saying that like you, you’re talking to operators now that are getting smarter about what they’re doing.

Yes. They’re asking more pointed questions. The OEMs can’t respond. So now what do you do? Yeah, that’s, that’s the Global Blade Group.

Nicholas Gaudern: Yeah, exactly.

Allen Hall: [00:04:00] Perspective, right? Where everybody’s starting to pool the resources together. I think that’s an

Nicholas Gaudern: absolutely great initiative. I mean, it’s something that’s been going along in various forms for a few years now, but um, now big it has joined Stack rt.

It’s kind of been relaunched in, in this new form that you were discussing with us. So, um, we are really excited to be part of that, I think kind of the way, uh. Our role sits within the group. We’re still working on, on the details, but we’re definitely gonna be part of that group in helping to, to share knowledge.

So the aim is that we will help, uh, educate basically to, to raise discussion points, to, to lead forums with operators about how they can understand their aerodynamics better, how they can ask more relevant questions of the OEM. So I think that’s what a lot this is about, just asking the right questions.

I think sometimes operators can feel a little bit, uh, blind. Uh, as to the best way to navigate a problem, but by knowledge sharing within the Blades group with other forums, um, I think that’s gonna make that a lot easier for everyone.

Allen Hall: And you’ve been tapped as [00:05:00] the lead of the aerodynamics group within the Global Blade

Nicholas Gaudern: Group?

Yes. Yep, yep, that’s, that’s correct. Um, we haven’t had a, a kickoff yet as such, but that will hopefully happen in the next couple of months. But yeah, the idea is that power curve will kind of. Lead that knowledge sharing around the aerodynamic subject.

Allen Hall: Yes. So if you haven’t joined the Global Blade Group, it’s free.

Yep. If you work for an operator, you can just join it and you should. So get somebody on your staff to sign up to get ahold of Burger and get going with that, because then you can tap into all the resources that they have. Them being, uh, the most recent one is the leading edge protection campaign that was just summarized, uh, a couple of weeks ago.

So that data set is out there and you want to have access to that. Mm-hmm. But I think more importantly, as the group goes forward now and has been emboldened again, the aerodynamic piece is the missing link for most operators. Yeah, it is.

Nicholas Gaudern: And it’s, it’s often an area that is, um, hasn’t had as much attention historically.

Uh, there’s just not so many engineers out there with that background. You know, it’s, um, [00:06:00] I wouldn’t say it’s any more or less hard than lots of other of the complex subjects within a wind turbine. There’s just, there’s fewer people, uh, who, who know the same, uh, level of, um, stuff.

Allen Hall: Yeah. And there’re being, those resources are being, uh, taxed quite heavily at the minute, uh, with all the activity it happen in the OEMs.

Now, as operators, uh, start to receive newer blades and you see. OEMs obviously moving to bigger turbines and to specific models, so there’s actually fewer varieties of blades than there were a couple years ago, but there’s still quite a number of blades out there. Mm-hmm, mm-hmm. So you, you’re going to get generally a more generic blade type at your specific wind site?

Nicholas Gaudern: Yeah, quite possibly.

Allen Hall: Yeah. I, I think especially ge renova is, is gonna be driving down to a, a limited set of blades and a limited set of turbines. So they’re gonna be trying to apply that turbine. More globally than they have in the past, instead of tailoring a specific set of blades vest is, it’s gonna do something very similar, I think.

Mm-hmm. Uh, and in that mode, [00:07:00] if you’re an operator and you’re receiving these blades, you don’t really understand what’s about to happen unless you do your homework ahead of time. And I think that’s where the opportunity lies today to do something really inexpensive and smart up front. To understand what’s likely to happen.

Yeah.

Nicholas Gaudern: Yeah, exactly. And I think that all starts with, um, as we talked about, gathering good data, whether that be a laser scan or detailed photographs or measurements or NDT, uh, putting some sensors in the blade, some CMS equipment. I think all of that stuff to help really build up that knowledge base early.

To help start planning for future o and m, uh, operations? Yeah,

Allen Hall: so the simple one as blades come on site is to do a laser scan.

Nicholas Gaudern: Mm. Yep. And that takes how long? A few hours. And, and it’s much easier on the ground than it is a tower as well. And then you can use that full kinds of things. Yes. It’s very useful to do aerodynamic studies on.

But then, uh, other stuff that might not seem so [00:08:00] exciting, but is super important. How do you move blades around a, uh, handling yard if you have a CAD model that’s much easier to plan? How do you, uh, look at a new stacking frame or a, a lifting device that you might need to purchase? Well, it all comes back to having that initial data.

And I think what we see, uh, at Power Curve is there’s a huge variety of aerodynamic upgrades that are shipped with blades. And even though, um. Two customers might buy the same blade. They might not necessarily have the same upgrade pack on from the, uh, from the OEM. So really understanding what’s in your fleet from the start.

Where are those VGs? Where are the serrations, where are the spoilers? That’s critical going forward to understand how to manage those blades. And we talk to a lot of operators, uh, about VGs and other upgrades. It’s, uh, surprising to us how few know what is on their blades. They just don’t know. They don’t have that information.

They just arrive. Yeah. So, so what happens if some of those add-ons need replacing? What happens if you are missing [00:09:00] potential? Well, you don’t have a good data set to go back to, to really understand the problem. So yeah, we’d really encourage that from the get go to, to document that.

Allen Hall: The, the discussion I’ve seen at operators about trying to get a blade model out of the OEM goes like this, Hey, OEM, uh.

I would like to have the blade model so I can do some analysis and we can operate this thing once it comes off warranty, obviously. And the OM says no.

Nicholas Gaudern: Hmm.

Allen Hall: All right. Well, can I scan it? Yeah, yeah, yeah. Okay. Well, you own the blade at the end of the day. I own the blade so I I can scan it all day. Yeah. But they will not give you the model, but you can scan it.

And scanning’s not expensive. I get it. If they sent you the model, it’d be less expensive. Yeah. But that’s not going to happen. And you can’t even contractually get it because it’s ip. Yeah. Even though you can go scan the same blade.

Nicholas Gaudern: Yeah.

Allen Hall: It doesn’t make any sense why you’re not scanning the blade at this point.

It’s so easy. Five years ago. Yes. Difficult

Nicholas Gaudern: today. Simple. Yeah. The scanning process [00:10:00] itself, I think where the real, uh, complexity comes in is then how do you convert that scan? Into a usable CAD model. I think that’s where the, the experience and um, and the skill of a, a good CAD engineer is really important.

So within, uh, power curve, we’ve been drawing blades for years and years and years now. So 30, 40 different blades we’ve scan, we’ve drawn, we’ve analyzed, and um, even the best laser scan may still have a few question marks around how you should interpret the data. So I’d encourage you that if you are going to go down that path.

Then, then call someone who’s done it a few times before and, and understand what’s going on.

Allen Hall: And then getting the details about the aerodynamic upgrades. I’ll call them quote unquote upgrades because sometimes I wonder if there are upgrades or not. Yeah. Uh, especially VGs getting those identified. It’s exactly where they are on the blade matters.

Trailing ulcerations, the kind of trailing ulceration you have, the sizes of them because they all vary in size [00:11:00] as you go up and down the blade, knowing where those are exactly out on the blade. And to me, when I see a variety of blade, a variety of blades made the same blade model, same blade revision.

Yep. But you start looking at ’em and you see those manufacturing tolerances move around quite a bit. It makes sense not to scan just one blade, but I’m probably gonna scan a variety of blades once they come outside. Yeah. Maybe they,

Nicholas Gaudern: maybe the OEM changes the philosophy about what they wanna do and I think with add-ons, um, there is a lot of, um, design philosophy involved.

With aerodynamics, as with lots of other disciplines, there’s a few ways you can skin the cat, right? There’s different ways that you can have a very similar effect with different products or different configurations, and I think you see that with aerodynamic upgrades quite clearly. So from some manufacturers we see, they’ll ship blades with bgs almost from root to tip.

From from the get go. You’ll see some OEMs that just have them in the route. You’ll have some that have none at all, and that that is still quite surprising, I think, because. Vortex [00:12:00] generators, particularly down in the root region of a blade to me, are, are kind of obvious now they’re proven. Uh, there’s a big stall zone in the root of the blade.

A VG array will help reduce that level of stall. Now you still have to engineer that solution. So perhaps one of the reason we don’t see all blades with them is the OEM didn’t have the capacity to engineer that solution because they didn’t have enough aerodynamics. Or they were too busy working on the next blade or whatever.

But that doesn’t mean that you can’t benefit from those products being there. So this is why it’s important to, to understand what you’re getting and to ask the questions, well, why, why doesn’t the root of my blade have VGs on? Have you done a calculation that shows that they didn’t work? Uh, and if you didn’t, well maybe, maybe you could, or maybe you could talk to someone else.

Um,

Allen Hall: yeah, because you do see the offerings today. And the two obvious ones we see mostly in the states, particularly with VGs and add-ons, is Siemens VGs and trailing inspirations are everywhere. Yeah, all [00:13:00] over those blades.

Nicholas Gaudern: I think Siemens have been for a long time now, uh, very keen on add-ons. And I like that philosophy personally.

I, I think there’s, there’s a school of thought that says if you put an add-on on a blade, you’ve kind of, you’ve kind of failed. You know, you should have addressed in the design that problem, and therefore you don’t need to put an add-on on, but I would make an argument that there are so many things that an add-on product can do that are incredibly hard to achieve in a molded, uh, product.

So even if you think you could include everything in the mold, maybe the cost or the complexity of doing that. Is much harder than just sticking something on afterwards. So I, I don’t think there should be any discussion around it being like a bandaid or a cheat or a fix, or there should be an integrated part of a design process.

A VG will give you more stall margin. So if you design with VGs, maybe you can design your blade, uh, twist distribution a little bit differently. Uh, if you integrate serrations into your design [00:14:00] process, maybe you can change the type of error fo you use or the tip speed ratio that you run at, because the serrations can help reduce the noise.

So if you’re considering all of that from the get go, there’s a lot of power in these devices that are, as I say, are very difficult to achieve in just, uh, out of the mold product. Um, I, I think a lot of operators

Allen Hall: don’t realize how much impact those little plastic devices. Yeah. Can have on, on power production and which is revenue.

Yes. Straight revenue. That’s all that it is. Exactly. And they sort of discount them on some level because they made out of plastic. I don’t know why that is. It’s the, all the engineering and the literally thousands of hours of engineering and being in the wind tunnel, which is super expensive. Yes. To go figure these things out because you can’t calculate them with excel.

No, it’s, it’s way more complicated of a problem than that. You need,

Nicholas Gaudern: you need some higher fidelity tools. And again, I think that’s why there’s been, uh, differing levels of uptake among the OEMs, among different operators because it does require some, [00:15:00] some hard calculations to be done. Maybe some full rotor CFD calculations, but that is all within the grass.

Of what you can do quite economically today. You know, huge increases in computing, power cloud computing services. You can do this stuff

Allen Hall: Well. That’s the thing that I bring up to the operators quite often is I said, you use Chap GPT, right? Yeah. Yeah. And they go, well, yeah, yeah. Well, you realize the amount of compute power that exists behind those, that amount of compute that’s being built today is also gonna do CFD.

Yes. Is also gonna do all those complicated aerodynamic problems and solution sets. That we weren’t really able to do 10 years ago will be instantaneous to us in a couple of months. Yeah,

Nicholas Gaudern: I mean, we work with a, a cloud computing, uh, service, uh, at North. So they’re, they’ve been our cloud computing provider for, for a number of years now to run CFD on.

They’re just building some new data centers now in Denmark, and I believe they said one of them had a rate of power of 250 megawatts.

Allen Hall: Right. [00:16:00] Yeah. They’re having

Nicholas Gaudern: to build, imagine the, imagine the computing power behind 250 megawatts. Right?

Allen Hall: Because as GE Renova has mentioned in a couple of their more recent public, uh, notices, is that gas turbines are a big business for GE Renova for data centers.

Nicholas Gaudern: Yeah.

Allen Hall: And how much data center can you build in a year? Well, evidently about 20 gigawatts worth. Yeah. Quite a lot. Yeah. That’s a lot of compute power. Way more than the planet has ever had before. Yeah.

Nicholas Gaudern: So I think there’s, there’s some, I mean. The work we do, we think we’re quite innovative. We think we’re kind of, uh, leading the way in, in some fields, but we have to be very careful to, to stay on the train because very soon, uh, the computing power that’s gonna be available.

Might blow some of the stuff we are doing now out of the water. Sure will. So we, you know, we need to keep our eye on this fidelity. Yeah. The Fidelity’s gonna go

Allen Hall: way up, but the engineering that goes behind it still has to be there because garbage N equals garbage out. Exactly. You, you have to have people with

Nicholas Gaudern: the experience and the knowledge and the fundamentals because [00:17:00] even with things like vortex generators, there’s so many different ways you can use them.

And I think the two, the two biggest ways, uh, you know, going back to that comment about Blaze being shipped with VGs from root to tip. If you have VGs in the root, they’re fundamentally addressing stall from thick aerofoils. If they’re towards the tip, it’s more about robustness of the power curve, so helping the turbine deal with sub, uh, standard surface conditions, whether that be dirt, bugs, ice, fungus, erosion, whatever.

So even though you may be able to compute all this stuff, some of these fundamental nuggets of knowledge about how these add-ons should work or could work. It’s critical to help set up the problem. And, um, that’s, that’s where we come in hopefully.

Allen Hall: Well, let’s talk leading edge for a minute, just because there’s been a lot of data.

The Global Blade Group has published some five year study from a variety of operators that are trying different kinds of coatings and solutions. One of the things that I get asked weirdly enough is how much can I [00:18:00] possibly lose in a EP due to leading edge? And the numbers that are thrown at me are crazy.

Yes, people will tell me they’re losing 10%. There is no way you’re losing 10%. And

Nicholas Gaudern: that’s, that’s because they’re not using an engineering driven approach. Right. So we’ve, we’ve talked about data capture and, and sensible engineering. It applies to everything. And I think leading edge erosion is an example of something that just has too many reckons involved.

Well, you can actually work it out. Um, you can go to a wind tunnel, you can do CFD simulation, you can do our elastic simulations, and you can come up with a much more, uh, engineering driven and consistent, uh, loss number. So something that we’ve been working on for a long time now in power covers. How do you understand those losses?

And, uh, a year or two ago, we launched our ERA Vista tool, and that is. Uh, designed to take data from the field that real data we’ve been talking about, and combine it with the best engineering knowledge we can [00:19:00] to come up with that loss number. So, uh, a real blade model taken from a real laser scan, CFD simulation, scarda data, coupled into a, uh, a model of a turbine in, uh, in a blade element momentum form.

That is how the turbine would’ve been designed in the first place. So kinda this consistent tool chain. And what we find with leading a ros after analyzing a couple of thousand turbines now with a vista is losses one and a half, 2%. Something in that that’s, that’s a bit more realistic as a loss number.

Those are still significant numbers, but that’s, you should be worried about that number should. You don’t need to have it at 10% to be worried. No 1% on a big turbine is plenty enough to worry about. Right. Especially when you have a hundred of them. Yeah. So, so we don’t need the scaremongering, you just need that consistency and that, um, and that focus on what, what is actually happening and, and can I justify it?

So

Allen Hall: this goes back to a discussion you and I had a, a couple of months ago [00:20:00] about the spreadsheet that’s being shared around that was created at a university that supposedly. Tells us what the, the a EP loss is in an Excel like form. Yeah. That is being used so incorrectly right now.

Nicholas Gaudern: Uh, and it is like any tool, if you, if you use it in a smart way, then maybe you can get a sense of answer.

But trying to do something consistently and to see any kind of real difference between turbine models will be. Very challenging. Yes. Um, so what I like about some of these simple tools is it can help put you in a ballpark, right? That stops us having these silly conversations about 10% losses or 0% losses.

You know, it helps to kind of narrow the band, but if you then want to really understand, uh, what the answer is, much, much closer to reality. Then you have to have the blade data. Yes. Because every blade is different. Every turbine model is different. [00:21:00] You can’t have that generic setup if you want to have that, that subtlety so you can actually spend your money wisely.

Allen Hall: That’s the problem is that that tool’s being used sort of globally across a farm and everybody that’s involved on the engineering side and particularly on the finance side of the operators realizes I’m probably not gonna fix all of these. Yeah. Turbines. A hundred turbine farm, very common in the United States.

200, 300 plus. Now I need to know what turbines I need to go after based on real data. If I have a hundred turbine farm, I really want to pick out the 20 turbines that I’m gonna go put. Leaning as protection on. Yeah. I need to know that, but only when I really know it is to run it through Arab Vista.

And then it does give me the Yeah. The top 20

Nicholas Gaudern: EE Exactly. And that, and that’s exactly what it’s designed to do, to take, to give confident analysis that you can then base business decisions on. Yeah. Um, because there’s a lot of operators out there who would love to optimize how [00:22:00] they’re spending their, their own m budget.

And this tool will allow them to do that. Right. And I,

Allen Hall: I just, I’m starting to see more adoptions at Vista because that accounting

Nicholas Gaudern: Yep. Is starting to take place and then you can start planning for the future as well. Right. So, so let’s say you have five years worth of inspection data that you can run through the system.

You can then see how the AP loss has progressed over five years. Yes. Where’s it going in the future? Uh, maybe I’m finding that my turbines from one OEM are performing way worse than turbines from another OEM. Sure, and that’s just useful information.

Allen Hall: Well, even on the a EP loss from existing leading edge protection systems, some of the more draggy lossy, uh, leading edge protection systems.

Are still being applied today. So as those systems fail, the amount of drag, a lawsuit that is created when the system eventually wear out is way more than just leaving the, the turbine alone, honestly. Yeah. So it’s not, you [00:23:00] need to think of it as a, a, a larger problem. You

Nicholas Gaudern: have, you have to take that system level approach for sure.

Right? You need to think

Allen Hall: about, yes. Okay. Then my blade has say it’s 1% right now I’m gonna put this coating on, but the coating’s gonna last three years roughly generally. What happens at year three? Well, I’m gonna have a 3% loss break.

Nicholas Gaudern: Yeah. May maybe the l break in some, in some cases might make the situation worse.

Right. So, you know, it’s about just choosing the right, the right tool for the problem, isn’t it? It is. When should I put, uh, protection on? When should I not, when should I clean a blade? When should I not? When should I apply VGs? When should I not? But unless you have the data coming in and you have that, uh, setup that we’ve been talking about earlier in the, in the discussion here, that’s really hard to do.

It is. So it’s,

Allen Hall: it’s really hard to do. And even the discussion about leading edge protection, the, the, the issue I have with a lot of them is that they do leave a significant lip Yeah. Right. In a croker area.

Nicholas Gaudern: Yeah.

Allen Hall: Some of [00:24:00] the providers of those systems are, are like, well, it doesn’t really make that much difference.

And they don’t have any aerodynamic data. And I’ve talked to a person that doesn’t know that much about aerodynamics obviously. ’cause there’s only a few handful of people mm-hmm In wind that know that much, but. I think, okay, yes, you’re gonna recover the 1% a EP loss that the blade roughness did have, but you’re not really recovering all that.

No, not necessarily necessarily what a vista will help also tell you, it helps, it

Nicholas Gaudern: helps make a good decision around that,

Allen Hall: right? So you may have a, a preferred LEP solution, but if it really doesn’t change your a EP, then what are we doing?

Nicholas Gaudern: Yeah, exactly. And perhaps the structural implications weren’t that big on that turbine.

Right. So, so yeah, again, having that balance of the structural risk, the aerodynamic risk, I think, um, as you start gathering more and more inspection data as operators are having now that kind of risk, a score based approach where you’re bringing together structural risk, aerodynamic risk, financial risk, um, [00:25:00] and bringing all those things together, that’s, that’s where the money lies.

Allen Hall: The industry is getting smarter. About the way they spend money, which once interest rates went up and they know filter tower on the program. Every episode talks about interest rates and what effect it as. Yes, it does have an effect, but on an engineering group it has a really significant effect because you need to have a better model.

You need to have a better approach. You just don’t throw money at these problems anymore. You need to have an ROI based solution. That’s where Aero Vista comes in. That’s a real solution that’s been validated and has proven itself, and it’s gonna get you to the proper solution, the most cost efficient solution, the fastest way.

I haven’t seen a product out there, and I’ve been around quite a bit. I haven’t seen another product that even approaches that. No, no,

Nicholas Gaudern: I’m, I’m,

Allen Hall: I’m glad to

Nicholas Gaudern: hear

Allen Hall: that one. And it’s not gonna be on the spreadsheet, so if you’re working on a spreadsheet today, stop, pick up the phone, get on the internet. [00:26:00] Look up power curve.

They’re based in Denmark, but they’re worldwide. You guys are everywhere right now and start talking about cost effective solutions. Yes. Start looking at how to spend your money more wisely.

Nicholas Gaudern: Exactly. Exactly.

Allen Hall: Now’s the time to do that. How do people get ahold of you, Nicholas? How do I get people get ahold of power crew.

Nicholas Gaudern: So they can check at our website. That’s, that’s power curve. Uh, dk, we have all our contact details on there. You can look up myself, uh, on LinkedIn. Also our CEO, Neil’s Business Development. Emil, we’re all on LinkedIn. You can reach out there through the website. Yeah, we’d love to talk to you.

Allen Hall: Absolutely. So this year is the year to get your a EP figured out and to get all your add-ons figured out and to get your LEP approach, uh, aligned with the cost.

And I, I think this is the time that Power Curve will be in the lead of this. And hopefully your phone starts ringing a little bit more because we, we’d love to help them do [00:27:00] that. Absolutely. Because I do, I think there’s so much opportunity for operators to save money Yes. And, and to have more production.

Yep. Which is what we need. We need the industry, particularly the United States, need to be able to prove itself more than ever.

Nicholas Gaudern: Yeah. Just use, use the data, use the expertise that’s out there and Uh, absolutely. And uh, yeah, give us a call. Nicholas, thanks for being back on the podcast. It’s been great.

Thanks, Allen.

https://weatherguardwind.com/powercurve-performance-analysis/

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My maternal grandfather was born in southeastern Pennsylvania in 1903 and told me when I was a boy that in the 1920s, times were so good that saloon owners would offer a free lunch, consisting of bread and butter, cheese, cold cuts, pickles and the like. “Sure, they were hoping you’d buy a glass of beer for a nickel, but they really didn’t mind if you didn’t and simply scarfed down a free sandwich.”

He went on to tell me that nowadays, there’s a popular slogan: There’s no such thing as a free lunch, “but believe me, there was at the time.”

From today’s perspective of greed and selfishness, this whole story sounds like a fairy tale.  Corporations and the congresspeople they own want one thing: to suck the life out of us.

A Lesson from the Early 20th Century

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Wind Industry Operations: In Wind’s Next Chapter, Operations take center stage

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Wind Industry Operations: In Wind’s Next Chapter, Operations take center stage

This exclusive article originally appeared in PES Wind 4 – 2025 with the title, Operations take center stage in wind’s next chapter. It was written by Allen Hall and other members of the WeatherGuard Lightning Tech team.

As aging fleets, shrinking margins, and new policies reshape the wind sector, wind energy operations are in the spotlight. The industry’s next chapter will be defined not by capacity growth, but by operational excellence, where integrated, predictive maintenance turns data into decisions and reliability into profit.

Wind farm operations are undergoing a fundamental transformation. After hosting hundreds of conversations on the Uptime Wind Energy Podcast, I’ve witnessed a clear pattern: the most successful operators are abandoning reactive maintenance in favor of integrated, predictive strategies. This shift isn’t just about adopting new technologies; it’s about fundamentally rethinking how we manage aging assets in an era of tightening margins and expanding responsibilities.

The evidence was overwhelming at this year’s SkySpecs Customer Forum, where representatives from over 75% of US installed wind capacity gathered to share experiences and strategies. The consensus was clear: those who integrate monitoring, inspection, and repair into a cohesive operational strategy are achieving dramatic improvements in reliability and profitability.

Takeaway: These options have been available to wind energy operations for years; now, adoption is critical.

Why traditional approaches to wind farm operations are failing

Today’s wind operators face an unprecedented convergence of challenges. Fleets installed during the 2010-2015 boom are aging in unexpected ways, revealing design vulnerabilities no one anticipated. Meanwhile, the support infrastructure is crumbling; spare parts have become scarce, OEM support is limited, and insurance companies are tightening coverage just when operators need them most.

The situation is particularly acute following recent policy changes. The One Big Beautiful Bill in the United States has fundamentally altered the economic landscape. PTC farming is no longer viable; turbines must run longer and more reliably than ever before. Engineering teams, already stretched thin, are being asked to manage not just wind assets but solar and battery storage as well. The old playbook simply doesn’t work anymore.

Consider the scope of just one challenge: polyester blade failures. During our podcast conversation with Edo Kuipers of We4Ce, we learned that an estimated 30,000 to 40,000 blades worldwide are experiencing root bushing issues. ‘After a while, blades are simply flying off,’ Kuipers explained. The financial impact of a single blade failure can exceed €300,000 when you factor in replacement costs, lost production, and crane mobilization. Yet innovative repair solutions, like the one developed by We4Ce and CNC Onsite, can address the same problem for €40,000 if caught early. This pattern repeats across every major component. Gearbox failures that once required complete replacement can now be predicted months in advance. Lightning damage that previously caused catastrophic failures can be prevented with inexpensive upgrades and real-time monitoring. All these solutions are based on the principle that predicted maintenance is better than an expensive surprise.

Seeing problems before they happeny, and potential risks

The transformation begins with visibility. Modern monitoring systems reveal problems that traditional methods miss entirely. Eric van Genuchten of Sensing360 shared an eye-opening statistic on our podcast: ‘In planetary gearbox failures, they get 90%, so there’s still 10% of failures they cannot detect.’ That missing 10% represents the catastrophic failures that destroy budgets and production targets. Advanced monitoring technologies are filling these gaps. Sensing360’s fiber optic sensors, for example, detect minute deformations in steel components, revealing load imbalances and fatigue progression invisible to traditional monitoring. ‘We integrate our sensors in steel and make rotating equipment smarter,’ van Genuchten explained.

Other companies are deploying acoustic systems to identify blade delamination, oil analysis for gearbox health, and electrical signature analysis for generator issues. Each technology adds a piece to the puzzle, but the real value comes from integration. The impact of load monitoring alone can be transformative.

As van Genuchten explained, ‘Twenty percent more loading on a gearbox or on a bearing is half of your life. The other way around, twenty percent less loading is double your life.’ With proper monitoring, operators can optimize load distribution across their fleet, extending component life while maximizing production.

But monitoring without action is just expensive data collection. The most successful operators are those who’ve learned to translate sensor data into operational decisions. This requires not just technology but organizational change, breaking down silos between monitoring, maintenance, and management teams.

In Wind Energy Operations, Early intervention makes the million-dollar difference

The economics of early intervention are compelling across every component type. The blade root bushing example from We4Ce illustrates this perfectly. With their solution, early detection means replacing just 24-30 bushings in about 24 hours of drilling work. Wait, and you’re looking at 60+ bushings and 60 hours of work. Early detection doesn’t just prevent catastrophic failure; it makes repairs faster, cheaper, and more reliable.

This principle extends throughout the turbine. Early-stage bearing damage can be addressed through targeted lubrication or minor adjustments. Incipient electrical issues can be resolved with cleaning or connection tightening. Small blade surface cracks can be repaired in a few hours before they propagate into structural damage requiring weeks of work.

Leading operators are implementing tiered response protocols based on monitoring data. Critical issues trigger immediate intervention. Developing problems are scheduled for the next maintenance window. Minor issues are monitored and addressed during routine service. This systematic approach reduces both emergency repairs and unnecessary maintenance, optimizing resource allocation across the fleet.

Turning information into action

While monitoring generates data, platforms like SkySpecs’ Horizon transform that data into operational intelligence. Josh Goryl, SkySpecs’ Chief Revenue Officer, explained their evolution at the recent Customer Forum: ‘I think where we can help our customers is getting all that data into one place.

The game-changer is integration across data types. The company is working to combine performance data with CMS data to provide valuable insights into turbine health. This approach has been informed by operators across the world, who’ve discovered that integrated platforms deliver insights that siloed data can’t.

The platform approach also addresses the reality of shrinking engineering teams managing expanding portfolios. As Goryl noted, many wind engineers are now responsible for solar and battery storage assets as well. One platform managing multiple technologies through a unified interface becomes essential for operational efficiency.

The Integration Imperative for Wind Farm Operations

The most successful operators aren’t just adopting individual technologies; they’re integrating monitoring, inspection, and repair into a seamless operational system. This integration operates at multiple levels.

At the technical level, data from various monitoring systems feeds into unified platforms that provide comprehensive asset visibility. These platforms don’t just display data; they analyze patterns, predict failures, and generate work orders.

At the organizational level, integration means breaking down barriers between departments. This cross-functional collaboration transforms O&M from a cost center into a value driver. Building your improvement roadmap For operators ready to enhance their O&M approach, the path forward involves several key steps:

Assessing the Current State of your Wind Energy Operations

Document your maintenance costs, failure rates, and downtime patterns. Identify which problems consume the most resources and which assets are most critical to your wind farm operations.

Start with targeted pilots Rather than attempting wholesale transformation, begin with focused initiatives targeting your biggest pain points. Whether it’s blade monitoring, gearbox sensors, or repair innovations, starting with your largest issue will help you see the biggest benefit.

• Invest in integration, not just technology: the most sophisticated monitoring system is worthless if its data isn’t acted upon. Ensure your organization has the processes and culture to transform data into decisions – this is the first step to profitability in your wind farm operations.

Build partnerships, not just contracts: look for technology providers and service companies willing to share knowledge, not just deliver services. The goal is building capability, not dependency.

• Measure and iterate: track the impact of each initiative on your key performance indicators. Use lessons learned to refine your approach and guide future investments.

The competitive advantage

The wind industry has reached an inflection point. With increasingly large and complex turbines, monitoring needs to adapt with it. The era of flying blind is over.

In an industry where margins continue to compress and competition intensifies, operational excellence has become a key differentiator. Those who master the integration of monitoring, inspection, and repair will thrive. Those who cling to reactive maintenance face escalating costs and declining competitiveness.

The technology exists. The business case is proven. The early adopters are already reaping the benefits. The question isn’t whether to transform your O&M approach, but how quickly you can adapt to this new reality. In the race to operational excellence, the winners will be those who act decisively to embrace the efficiency revolution reshaping wind operations.

Unless otherwise noted, images here are from We4C Rotorblade Specialist.

Wind Industry Operations: In Wind's Next Chapter, Operations take center stage

Contact us for help understanding your lightning damage, future risks, and how to get more uptime from your equipment.

Download the full article from PES Wind here

Find a practical guide to solving lightning problems and filing better insurance claims here

Wind Industry Operations: In Wind's Next Chapter, Operations take center stage

Wind Industry Operations: In Wind’s Next Chapter, Operations take center stage

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BladeBUG Tackles Serial Blade Defects with Robotics

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BladeBUG Tackles Serial Blade Defects with Robotics

Chris Cieslak, CEO of BladeBug, joins the show to discuss how their walking robot is making ultrasonic blade inspections faster and more accessible. They cover new horizontal scanning capabilities for lay down yards, blade root inspections for bushing defects, and plans to expand into North America in 2026.

Sign up now for Uptime Tech News, our weekly newsletter 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 YouTubeLinkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us!

Welcome to Uptime Spotlight, shining Light on Wind. Energy’s brightest innovators. This is the Progress Powering Tomorrow.

Allen Hall: Chris, welcome back to the show.

Chris Cieslak: It’s great to be back. Thank you very much for having me on again.

Allen Hall: It’s great to see you in person, and a lot has been happening at Blade Bugs since the last time I saw Blade Bug in person. Yeah, the robot. It looks a lot different and it has really new capabilities.

Chris Cieslak: So we’ve continued to develop our ultrasonic, non-destructive testing capabilities of the blade bug robot.

Um, but what we’ve now added to its capabilities is to do horizontal blade scans as well. So we’re able to do blades that are in lay down yards or blades that have come down for inspections as well as up tower. So we can do up tower, down tower inspections. We’re trying to capture. I guess the opportunity to inspect blades after transportation when they get delivered to site, to look [00:01:00] for any transport damage or anything that might have been missed in the factory inspections.

And then we can do subsequent installation inspections as well to make sure there’s no mishandling damage on those blades. So yeah, we’ve been just refining what we can do with the NDT side of things and improving its capabilities

Joel Saxum: was that need driven from like market response and people say, Hey, we need, we need.

We like the blade blood product. We like what you’re doing, but we need it here. Or do you guys just say like, Hey, this is the next, this is the next thing we can do. Why not?

Chris Cieslak: It was very much market response. We had a lot of inquiries this year from, um, OEMs, blade manufacturers across the board with issues within their blades that need to be inspected on the ground, up the tap, any which way they can.

There there was no, um, rhyme or reason, which was better, but the fact that he wanted to improve the ability of it horizontally has led the. Sort of modifications that you’ve seen and now we’re doing like down tower, right? Blade scans. Yeah. A really fast breed. So

Joel Saxum: I think the, the important thing there is too is that because of the way the robot is built [00:02:00] now, when you see NDT in a factory, it’s this robot rolls along this perfectly flat concrete floor and it does this and it does that.

But the way the robot is built, if a blade is sitting in a chair trailing edge up, or if it’s flap wise, any which way the robot can adapt to, right? And the idea is. We, we looked at it today and kind of the new cage and the new things you have around it with all the different encoders and for the heads and everything is you can collect data however is needed.

If it’s rasterized, if there’s a vector, if there’s a line, if we go down a bond line, if we need to scan a two foot wide path down the middle of the top of the spa cap, we can do all those different things and all kinds of orientations. That’s a fantastic capability.

Chris Cieslak: Yeah, absolutely. And it, that’s again for the market needs.

So we are able to scan maybe a meter wide in one sort of cord wise. Pass of that probe whilst walking in the span-wise direction. So we’re able to do that raster scan at various spacing. So if you’ve got a defect that you wanna find that maximum 20 mil, we’ll just have a 20 mil step [00:03:00] size between each scan.

If you’ve got a bigger tolerance, we can have 50 mil, a hundred mil it, it’s so tuneable and it removes any of the variability that you get from a human to human operator doing that scanning. And this is all about. Repeatable, consistent high quality data that you can then use to make real informed decisions about the state of those blades and act upon it.

So this is not about, um, an alternative to humans. It’s just a better, it’s just an evolution of how humans do it. We can just do it really quick and it’s probably, we, we say it’s like six times faster than a human, but actually we’re 10 times faster. We don’t need to do any of the mapping out of the blade, but it’s all encoded all that data.

We know where the robot is as we walk. That’s all captured. And then you end up with really. Consistent data. It doesn’t matter who’s operating a robot, the robot will have those settings preset and you just walk down the blade, get that data, and then our subject matter experts, they’re offline, you know, they are in their offices, warm, cozy offices, reviewing data from multiple sources of robots.

And it’s about, you know, improving that [00:04:00] efficiency of getting that report out to the customer and letting ’em know what’s wrong with their blades, actually,

Allen Hall: because that’s always been the drawback of, with NDT. Is that I think the engineers have always wanted to go do it. There’s been crush core transportation damage, which is sometimes hard to see.

You can maybe see a little bit of a wobble on the blade service, but you’re not sure what’s underneath. Bond line’s always an issue for engineering, but the cost to take a person, fly them out to look at a spot on a blade is really expensive, especially someone who is qualified. Yeah, so the, the difference now with play bug is you can have the technology to do the scan.

Much faster and do a lot of blades, which is what the de market demand is right now to do a lot of blades simultaneously and get the same level of data by the review, by the same expert just sitting somewhere else.

Chris Cieslak: Absolutely.

Joel Saxum: I think that the quality of data is a, it’s something to touch on here because when you send someone out to the field, it’s like if, if, if I go, if I go to the wall here and you go to the wall here and we both take a paintbrush, we paint a little bit [00:05:00] different, you’re probably gonna be better.

You’re gonna be able to reach higher spots than I can.

Allen Hall: This is true.

Joel Saxum: That’s true. It’s the same thing with like an NDT process. Now you’re taking the variability of the technician out of it as well. So the data quality collection at the source, that’s what played bug ducts.

Allen Hall: Yeah,

Joel Saxum: that’s the robotic processes.

That is making sure that if I scan this, whatever it may be, LM 48.7 and I do another one and another one and another one, I’m gonna get a consistent set of quality data and then it’s goes to analysis. We can make real decisions off.

Allen Hall: Well, I, I think in today’s world now, especially with transportation damage and warranties, that they’re trying to pick up a lot of things at two years in that they could have picked up free installation.

Yeah. Or lifting of the blades. That world is changing very rapidly. I think a lot of operators are getting smarter about this, but they haven’t thought about where do we go find the tool.

Speaker: Yeah.

Allen Hall: And, and I know Joel knows that, Hey, it, it’s Chris at Blade Bug. You need to call him and get to the technology.

But I think for a lot of [00:06:00] operators around the world, they haven’t thought about the cost They’re paying the warranty costs, they’re paying the insurance costs they’re paying because they don’t have the set of data. And it’s not tremendously expensive to go do. But now the capability is here. What is the market saying?

Is it, is it coming back to you now and saying, okay, let’s go. We gotta, we gotta mobilize. We need 10 of these blade bugs out here to go, go take a scan. Where, where, where are we at today?

Chris Cieslak: We’ve hads. Validation this year that this is needed. And it’s a case of we just need to be around for when they come back round for that because the, the issues that we’re looking for, you know, it solves the problem of these new big 80 a hundred meter plus blades that have issues, which shouldn’t.

Frankly exist like process manufacturer issues, but they are there. They need to be investigated. If you’re an asset only, you wanna know that. Do I have a blade that’s likely to fail compared to one which is, which is okay? And sort of focus on that and not essentially remove any uncertainty or worry that you have about your assets.

’cause you can see other [00:07:00] turbine blades falling. Um, so we are trying to solve that problem. But at the same time, end of warranty claims, if you’re gonna be taken over these blades and doing the maintenance yourself, you wanna know that what you are being given. It hasn’t gotten any nasties lurking inside that’s gonna bite you.

Joel Saxum: Yeah.

Chris Cieslak: Very expensively in a few years down the line. And so you wanna be able to, you know, tick a box, go, actually these are fine. Well actually these are problems. I, you need to give me some money so I can perform remedial work on these blades. And then you end of life, you know, how hard have they lived?

Can you do an assessment to go, actually you can sweat these assets for longer. So we, we kind of see ourselves being, you know, useful right now for the new blades, but actually throughout the value chain of a life of a blade. People need to start seeing that NDT ultrasonic being one of them. We are working on other forms of NDT as well, but there are ways of using it to just really remove a lot of uncertainty and potential risk for that.

You’re gonna end up paying through the, you know, through the, the roof wall because you’ve underestimated something or you’ve missed something, which you could have captured with a, with a quick inspection.

Joel Saxum: To [00:08:00] me, NDT has been floating around there, but it just hasn’t been as accessible or easy. The knowledge hasn’t been there about it, but the what it can do for an operator.

In de-risking their fleet is amazing. They just need to understand it and know it. But you guys with the robotic technology to me, are bringing NDT to the masses

Chris Cieslak: Yeah.

Joel Saxum: In a way that hasn’t been able to be done, done before

Chris Cieslak: that. And that that’s, we, we are trying to really just be able to roll it out at a way that you’re not limited to those limited experts in the composite NDT world.

So we wanna work with them, with the C-N-C-C-I-C NDTs of this world because they are the expertise in composite. So being able to interpret those, those scams. Is not a quick thing to become proficient at. So we are like, okay, let’s work with these people, but let’s give them the best quality data, consistent data that we possibly can and let’s remove those barriers of those limited people so we can roll it out to the masses.

Yeah, and we are that sort of next level of information where it isn’t just seen as like a nice to have, it’s like an essential to have, but just how [00:09:00] we see it now. It’s not NDT is no longer like, it’s the last thing that we would look at. It should be just part of the drones. It should inspection, be part of the internal crawlers regimes.

Yeah, it’s just part of it. ’cause there isn’t one type of inspection that ticks all the boxes. There isn’t silver bullet of NDT. And so it’s just making sure that you use the right system for the right inspection type. And so it’s complementary to drones, it’s complimentary to the internal drones, uh, crawlers.

It’s just the next level to give you certainty. Remove any, you know, if you see something indicated on a a on a photograph. That doesn’t tell you the true picture of what’s going on with the structure. So this is really about, okay, I’ve got an indication of something there. Let’s find out what that really is.

And then with that information you can go, right, I know a repair schedule is gonna take this long. The downtime of that turbine’s gonna be this long and you can plan it in. ’cause everyone’s already got limited budgets, which I think why NDT hasn’t taken off as it should have done because nobody’s got money for more inspections.

Right. Even though there is a money saving to be had long term, everyone is fighting [00:10:00] fires and you know, they’ve really got a limited inspection budget. Drone prices or drone inspections have come down. It’s sort, sort of rise to the bottom. But with that next value add to really add certainty to what you’re trying to inspect without, you know, you go to do a day repair and it ends up being three months or something like, well

Allen Hall: that’s the lightning,

Joel Saxum: right?

Allen Hall: Yeah. Lightning is the, the one case where every time you start to scarf. The exterior of the blade, you’re not sure how deep that’s going and how expensive it is. Yeah, and it always amazes me when we talk to a customer and they’re started like, well, you know, it’s gonna be a foot wide scarf, and now we’re into 10 meters and now we’re on the inside.

Yeah. And the outside. Why did you not do an NDT? It seems like money well spent Yeah. To do, especially if you have a, a quantity of them. And I think the quantity is a key now because in the US there’s 75,000 turbines worldwide, several hundred thousand turbines. The number of turbines is there. The number of problems is there.

It makes more financial sense today than ever because drone [00:11:00]information has come down on cost. And the internal rovers though expensive has also come down on cost. NDT has also come down where it’s now available to the masses. Yeah. But it has been such a mental barrier. That barrier has to go away. If we’re going going to keep blades in operation for 25, 30 years, I

Joel Saxum: mean, we’re seeing no

Allen Hall: way you can do it

Joel Saxum: otherwise.

We’re seeing serial defects. But the only way that you can inspect and or control them is with NDT now.

Allen Hall: Sure.

Joel Saxum: And if we would’ve been on this years ago, we wouldn’t have so many, what is our term? Blade liberations liberating

Chris Cieslak: blades.

Joel Saxum: Right, right.

Allen Hall: What about blade route? Can the robot get around the blade route and see for the bushings and the insert issues?

Chris Cieslak: Yeah, so the robot can, we can walk circumferentially around that blade route and we can look for issues which are affecting thousands of blades. Especially in North America. Yeah.

Allen Hall: Oh yeah.

Chris Cieslak: So that is an area that is. You know, we are lucky that we’ve got, um, a warehouse full of blade samples or route down to tip, and we were able to sort of calibrate, verify, prove everything in our facility to [00:12:00] then take out to the field because that is just, you know, NDT of bushings is great, whether it’s ultrasonic or whether we’re using like CMS, uh, type systems as well.

But we can really just say, okay, this is the area where the problem is. This needs to be resolved. And then, you know, we go to some of the companies that can resolve those issues with it. And this is really about played by being part of a group of technologies working together to give overall solutions

Allen Hall: because the robot’s not that big.

It could be taken up tower relatively easily, put on the root of the blade, told to walk around it. You gotta scan now, you know. It’s a lot easier than trying to put a technician on ropes out there for sure.

Chris Cieslak: Yeah.

Allen Hall: And the speed up it.

Joel Saxum: So let’s talk about execution then for a second. When that goes to the field from you, someone says, Chris needs some help, what does it look like?

How does it work?

Chris Cieslak: Once we get a call out, um, we’ll do a site assessment. We’ve got all our rams, everything in place. You know, we’ve been on turbines. We know the process of getting out there. We’re all GWO qualified and go to site and do their work. Um, for us, we can [00:13:00] turn up on site, unload the van, the robot is on a blade in less than an hour.

Ready to inspect? Yep. Typically half an hour. You know, if we’ve been on that same turbine a number of times, it’s somewhere just like clockwork. You know, muscle memory comes in, you’ve got all those processes down, um, and then it’s just scanning. Our robot operator just presses a button and we just watch it perform scans.

And as I said, you know, we are not necessarily the NDT experts. We obviously are very mindful of NDT and know what scans look like. But if there’s any issues, we have a styling, we dial in remote to our supplement expert, they can actually remotely take control, change the settings, parameters.

Allen Hall: Wow.

Chris Cieslak: And so they’re virtually present and that’s one of the beauties, you know, you don’t need to have people on site.

You can have our general, um, robot techs to do the work, but you still have that comfort of knowing that the data is being overlooked if need be by those experts.

Joel Saxum: The next level, um, commercial evolution would be being able to lease the kit to someone and or have ISPs do it for [00:14:00] you guys kinda globally, or what is the thought

Chris Cieslak: there?

Absolutely. So. Yeah, so we to, to really roll this out, we just wanna have people operate in the robots as if it’s like a drone. So drone inspection companies are a classic company that we see perfectly aligned with. You’ve got the sky specs of this world, you know, you’ve got drone operator, they do a scan, they can find something, put the robot up there and get that next level of information always straight away and feed that into their systems to give that insight into that customer.

Um, you know, be it an OEM who’s got a small service team, they can all be trained up. You’ve got general turbine technicians. They’ve all got G We working at height. That’s all you need to operate the bay by road, but you don’t need to have the RAA level qualified people, which are in short supply anyway.

Let them do the jobs that we are not gonna solve. They can do the big repairs we are taking away, you know, another problem for them, but giving them insights that make their job easier and more successful by removing any of those surprises when they’re gonna do that work.

Allen Hall: So what’s the plans for 2026 then?

Chris Cieslak: 2026 for us is to pick up where 2025 should have ended. [00:15:00] So we were, we were meant to be in the States. Yeah. On some projects that got postponed until 26. So it’s really, for us North America is, um, what we’re really, as you said, there’s seven, 5,000 turbines there, but there’s also a lot of, um, turbines with known issues that we can help determine which blades are affected.

And that involves blades on the ground, that involves blades, uh, that are flying. So. For us, we wanna get out to the states as soon as possible, so we’re working with some of the OEMs and, and essentially some of the asset owners.

Allen Hall: Chris, it’s so great to meet you in person and talk about the latest that’s happening.

Thank you. With Blade Bug, if people need to get ahold of you or Blade Bug, how do they do that?

Chris Cieslak: I, I would say LinkedIn is probably the best place to find myself and also Blade Bug and contact us, um, through that.

Allen Hall: Alright, great. Thanks Chris for joining us and we will see you at the next. So hopefully in America, come to America sometime.

We’d love to see you there.

Chris Cieslak: Thank you very [00:16:00] much.

BladeBUG Tackles Serial Blade Defects with Robotics

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