Alejandro Cabrera Muñoz, CEO and founder of Green Eagle Solutions, discusses their ARSOS platform and how it helps wind farm operators manage technical complexities, market volatility, and regulatory changes by automating turbine issue responses for increased productivity and revenue.

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Wind Farm operators face mounting challenges from managing thousands of diverse turbines to navigating the energy markets and constant regulatory changes. This week we speak with Alejandro Cabrera Munoz, CEO, and founder of Green Eagle Solutions. Green Eagle’s ARSOS platform gives control rooms immediate responses to turbine issues, which dramatically increases productivity and captures more revenue from their turbines.

Welcome to Uptime Spotlight, shining Light on Wind. Energy’s brightest innovators. This is the progress powering tomorrow.

Allen Hall: Alejandro, welcome to the show.

Speaker 3: Thank you, Allen. Thank you for having me here today.

Allen Hall: so Green Eagle Solutions is in a unique space of the renewable energy marketplace, and you saw a problem several years ago, particularly in the control rooms of [00:01:00] wind operators. What is that problem that you identified?

Speaker 3: Yeah, Allen, I think it, it’s, It’s a challenge that, most of our customers, which are generally large operators, are facing today. But it’s a challenge that have been, growing, in the past years. So first of all, it’s, it goes along with the penetration of renewables in the industry, right?

So we have, due to all these many years of aggregating new wind farms and solar plants, We are seeing how the complexity, the technical complexity of operating and supervising these assets is growing exponentially, right? So we now have customers with thousands of wind turbines that have, different models, different versions of, controllers, And also different healthcare issues that they have to take care of. So the technical complexity is a fair, the first [00:02:00] factor that, it’s has to be tackled from a control room, And, makes, operations quite, challenging. Along with this, we have market volatility. So in the recent years especially, we are seeing how, Negative pricing and optional markets are now affecting operations in a daily, basis. Basically in every 15 minutes you dunno if you’re gonna produce or not. Up until recently it was as simple as if you had wind resource, you would produce energy from wind farms. If you had solar, you produce energy from solar plants.

It’s not like that anymore. So the market is quite, volatile. that adds a lot of complexity from the commercial point of view of, Of the assets. And the last, factor that is actually becoming, an increasing challenge for everyone is the regulatory changes. So basically due to the penetration of renewable energies, what we see is that all governments, all grid operators and our market operators are constantly issuing [00:03:00] new adapt, new regulatory changes, that everyone has to adapt to no matter what.

it doesn’t matter if you have an all wind farm or a newer wind farm. Or you prepared or not, like everyone has to be adapted to, to the new regulatory, changes. the three things are actually affecting, our customers and we are trying to solve all these issues, the way, the, best way that we can, right?

So most of our customers, we just have a control room full of people. they will do their best effort to accommodate these challenges. The reality is that we have to. Deal with, people, procedures, and, systems, and we, if we don’t put these three things in place, it’s impossible to cope up. With the complexity that we are dealing with, and that’s where we come in.

Joel Saxum: I think you painted the picture of a really good problem that’s not just like local to the eu, local to India, local to South America, whatever. it’s a global issue, right? You have the, massive build out of different kinds of [00:04:00] technologies that need to be managed in different ways that, bring their own issues, their own delivery to the grid, those kind of things.

and then you, and as Green Eagle has, painted the picture like, Hey, we saw these issues. This is where we come in, this is where we step in. So in that, what kind of inefficiencies are you seeing in the traditional wind farm operations versus what you guys are bringing to the table now?

Speaker 3: So just to give a few examples, and I think I, I can be quite, precise on this. let’s say that a wind turbine gets some fault because of, high temperature on the gearbox, and it’s a. It’s an automated response from the manufacturer that the ban is gonna stop for safety measures, right?

So in many cases. This is solved from the control room point. from the control room by waiting for an operator to just, follow a procedure, right? So this procedure takes a lot of time. Why? Because you are not only paying attention to one winter turbine band, you may have 2000 winter turbines, right?

[00:05:00] So you have to first identify, which is a model of winter turbine band that is affected by this issue. Then you have to go through the manual, then you have to check what are the parameters, and the whole process takes minimum half an hour if you wanna do it properly. The problem is when you have other issues like high wind speed, right?

So normally when you have high wind resource, which is basically when you can produce more energy, is when your assets suffer the most. And so they’re more prone to errors, they’re more prone to go get on fault. So if you take a look at these times, the country room, response time is actually gonna go up in hours, right?

So this one of the one simple example is a end-to-end full haling procedure that takes between. 20 minutes, two hours, depending on how you have a structure, your systems, people, and procedures, right? So this is the first thing that we can tackle. Like just as an example with our software, we can automate the whole process end to end.

That means that this problem is never gonna be dealt with. From an operator, This is gonna be [00:06:00] automated. This is an, this is never gonna become an issue for an operator ever again.

Allen Hall: Yeah. And I think this lends itself to software obviously, that there’s, if you look at these control rooms, if you, or especially if you looked 3, 4, 5 years ago.

It’s pretty chaotic in there. And if you are on the market for electricity and the price is fluctuating and you have turbines popping on and off, you have a crisis and it’s very hard to sort that out and to get the turbines up and running if you need them to be, to produce power so you can make money.

’cause ultimately we’re trying to maximize the revenue to our company. And that cannot be a human response. We’re too slow. Humans are too slow to respond to all this. And because we’d have to know every nuance to every turbine or solar farm makes the problem immensely impossible. So that’s where you have developed a piece of software called.

ARSOS and it’s a system approach to a very complicated problem. So you want to explain what ARSOS does

Speaker 3: [00:07:00] effectively, what, what ARSOS does is to provide immediate response to whatever issue you have already a procedure to deal with, right? So let’s take into account the, previous example that, that we were using, in this case.

And, there are hundreds of different cases where a wind turbine is gonna stop. Every wind turbine is gonna, can have potentially hundreds of different. Scenarios where it’s gonna go on fault and require human attention or attention from remote. So the first thing that we can, provide is, immediate response time.

I think all the investment funds, IPPs or utilities, can now rely on a system instead of, relying on people. They can rely on a system that is gonna do effectively. The first phase actually is gonna do exactly the same. With immediate response time, this is what our source is all about. according to our experience, we have identified if you, could take 100% of the issues or incidents that can impact, the availability of the assets.

We have identified that at least [00:08:00] 80% of those incidents can be managed autonomously. Among that 80%, almost 75% of them can be resolved autonomously, and the other 20%. It can be just dispatched to, technicians on site so they can actually go on the turbine and fix the issue on site. So this, this is, this is our goal.

We can multiply by five the operational capacity of our customers. but along with that comes many other benefits. So the, main one, we already tackling that, right? So immediate response time with that comes, increase of productivity because we don’t need operators to be doing repetitive tasks anymore, so they can actually do other.

Added value activities, but immediate response also provide with an increase of availability, which also translate into an increase of production and again, translate into additional revenue. So effectively what we’re doing is to transform a traditionally thought of, center of cost, like the, it is a [00:09:00] control room.

We can optimize the control room to a point where it’s no longer a center of cost. Actually an opportunity to turn that into a center of revenue. We can actually improve the operations. We can actually capture more revenue from our assets. But we can only do that through automation.

Joel Saxum: So when you’re talking with operators, okay, so I’m, right now I’m imagining Alejandro on a sales call and you’re talking with them and you have, you may have in that room, some energy traders.

You may have some of the operators from the ROC, you may have. an engineer in charge of it, an asset manager, someone of that sort, and you start talking through the problems that you guys can solve. Which ones make the light bulb go on the most? Is it the revenue? Is it like, Hey, we can actually pull more revenue outta here, or is it, Hey, operators of the control room, we’re going to ease your life.

Which, which of these are the breaking points that make people go, yes, we want to use Green Eagle?

Speaker 3: Yeah, that’s a great question, Joel, and unfortunately it’s not that simple to answer. I wish I had the, right answer to that. [00:10:00] But the reality is that every type of customer has different, interest.

and I’m gonna give you a few examples. if you’re a trader, what you’re gonna value is the capabilities to participate in advanced, optional markets, right? Especially in Spain, we are the most used, technology to participate in secondary markets and c services, restoration reserves and so on.

So we enable our customers, the traders in this case, to participate in all these markets with zero efforts so they can focus on trading. But all the infrastructure, all the communications, all the actual management of curtailments is done automatically. So they can just focus on trading. but that’s what they, see, right?

If we were talking to an IP for instance, ISPs are generally, focused on or driven by, service level agreement based on availability, right? So if they say, if they, if their commitment is 97% of availability, they’re [00:11:00] gonna try to reach that, right? So that driven by the availability. but that’s it. they’re not necessarily capturing more if the availability goes higher than 97% or if the site is being operated better, or if the site is being actually producing more.

Sometimes they’re not incentivized by that. This is why, the reason, this is the reason why we are not normally focused on large utilities and large operators because, effectively, large utilities and IPPs, they, if they’re large enough, they’re gonna have everything in house. So they’re gonna see the benefits at all levels.

They’re gonna increase the productivity, and they’re gonna improve their operational model as a whole. So that’s why, we are targeting, these larger operators.

Allen Hall: I know a lot of the different operators have their own models of how to respond to particular alarms. Everybody does it differently depending upon a lot of it’s where you are in the world, where your wind turbines are and how your wind turbines respond to certain conditions.

So they’ve [00:12:00] developed these sort of procedures themselves. Are they able to integrate their existing procedures into the ARSOS platform where. Basically they’re taking the human outta the loop, but just automating it, making it simpler for the control room to run these turbines.

Speaker 3: That’s a great question, Allen.

of course, yes. and this is something that, we’ve been, seeing from day one. at the beginning when we thought, let’s, automate all these processes and all these procedures, I, we thought that we were gonna find like a common ground of how to deal with this model of turbines. However, what we see is a complete different way to.

To operate a fleet. And it depends on both commercial, and operational strategies. for instance, a utility that is gonna keep their assets for 20 years, they’re gonna have be paying attention of what is the most effective way to operate, taking care of the healthcare, of the assets. So it’s gonna be more conservative, it’s gonna be more long-term thinking.[00:13:00]

on the contrary, if, let’s say that you have a portfolio that you’re gonna sell in two years. That may drive, you to a more aggressive protocol. So you may want to, hire the higher the availability, increase the production, even if that comes at a cost of, a little bit more fatigue on the winter turbines.

So it all depends on how, what you wanna get for your fleet. what’s important is that we allow, we provide the technology. We don’t tell our customers how to operate. Actually, they have. They have more knowledge than us, to be honest. They know their assets, they know how they behave, and if you ask them, they know exactly that Tar van, three out of 2000 in this wind farm has this issue, and the other one that has a different issue, they already know that stuff.

So we’re not gonna tell them how to operate their fleet, but we allow them to do whatever they think is best for turbine. By turbine, I mean with our software, you can actually define different protocols and assign each protocol to one turbine. That means that, for instance, [00:14:00] if you, change the, the gearbox of one tarn out of 2000, right?

Normally you, what you would like to do is that the next day everyone is paying attention to the tarn in case something happens, right? but you have 2000, so that’s actually not very realistic. So in that case, what you do is that you configure out protocol that is designed for that specific model of turbine, and that takes into account that the gearbox was replaced recently.

So if there’s an alert, on a fault related to a gearbox. Then the response is gonna be taking that, it’s gonna take that into account. So obviously this kind of things can only be done if you’re based on, automation. Otherwise you just, have to rely on a few notebooks that you have in your control room and that they’re static.

They never change. they’re the same for 20 years and they never evolve.

Allen Hall: Yeah, they’re the same for every turbine. And that’s just a approach that we need to give up, that we need to move on as an industry to be more efficient in what we do. So how. [00:15:00] Does an operator, and I know you’re working with a lot of large operators and have a lot of turbines under your systems.

How does the RSOs implementation take place? What does that look like?

Speaker 3: All right, so it depends on the, I would say on the digital maturity of our customers. So it depends. Some of them already have a very strong network. Secure network. They have a, let’s, say, one of our customers in the, us, right?

So they already have a NERC department in place. basically what, first we need to understand what, they have already in place and how we can fit into that, solution in this, in the most, let’s say most, most demanding scenario. We are, gonna deploy your software on premises. So it depends on whatever they have already in place with the, we deploy your software, we provide them with the installers.

We provide them with the procedures and they are autonomous to, to install it. Obviously with our support, from remote [00:16:00] in, in other cases, in the other extreme, we have customers that don’t have a large portfolio. They don’t have these large IT and nerc. Department, in place. So in for smaller portfolios, we can actually connect from our cloud.

Our cloud, we make sure that it’s cyber security. We have all the certification in place. and this is the solution that we have. So we have, our cloud is connected to an onsite, piece of software that we install on, the edge, and they’re connecting securely. And that’s how we do it. in terms of architecture, I think it’s important, to get deeper into.

Why we are, proposing a, we are also establishing a different, way to do things because it also has to do with the architecture itself. if you take into account, the NERC rules in the US but also any cybersecurity policy, it is basically gonna go against any kind of [00:17:00] optimization, in the operations, right?

Because when you have so many issues, as we mentioned before. The tendency is gonna be to, okay, so this let’s centralize everything into one place where I can actually manage everything, efficiently, right? So one place centralize. I can control everything from this place. I have a control room here. I.

That’s it. Now that goes totally against cyber security policies, philosophy, right? Which they would like to have everything isolated from each other. So you have to actually go to the site and push the button right there. Now we have a, I would say the best solution, that covers this, both worlds, right?

So we have a solution that allows you to centralize the configuration. Distribute the autonomous control. That means that instead of relying on a centralized control room where the operators are pushing the button, so in the control room, you actually don’t push the buttons. You have the control room to supervise and to define the protocols itself.

Then these protocols are. Sign to each turbines, [00:18:00] the right protocols, but then the control is actually done autonomously on site. So even if your control room gets disconnected from the sites, from the network, you lose connectivity to your control room. You cannot access for whatever reason to your control room, you can be certain that your sites are still being operated in the same way.

If you could access your control room. So this is actually compliance with the cyber security policies at the same time that is allow, is providing you with what you were looking for to begin with, which is efficiency in operations.

Allen Hall: When an operator installs the RSO system, what are the typical things that they’ll see immediately?

is it just easier to operate the turbines, it just requires less staff? Are they producing more revenue? What are those success stories look like?

Speaker 3: Yeah, success stories look like this. Just like any automation attempt at the beginning, everyone is suffering from a little bit of, control, fism, right?

So it is okay, am I losing control of this? So we already have a system to deal with this. So what we do, basically, we install [00:19:00] our software in parallel to your control room. it works as a shadow mode, in a simulation mode. So basically what it does is to say, if this was active, what would it do?

Automatically versus what actually, what, are my operators actually doing? So we can actually compare for a few weeks or a few months, the performance of the automation versus the performance of the, current room. So normally when we propose this, customers, I will say in the mindset, it’s okay to test this for two, three months and then.

Go ahead and say, okay, let’s activate it. I no longer want to do this manually. It’s a waste of time and resources, right? The reality is that as soon as we put it in place and they see how it works, how it re respond immediately instead of. The delay that comes from operators, it takes, I would say, no more than two weeks until they’re already ready to put it, in production mode.

Allen Hall: When they see the lost revenue, [00:20:00] they would immediately turn it on and start making some more money.

Speaker 3: It takes between two weeks, no more than a month for sure.

Joel Saxum: I hear water cooler conversations. That would be like the ro the robot beats you guys again, you

Speaker 3: know. automation has a very interesting effect.

It’s that. I would say it’s a vicious cycle. So once you see something working autonomously, the brain works in a very interesting way. It’s you never want to do that manually again. It’s am I doing it? It doesn’t, it does not make any sense anymore. so it triggers, whole, efforts to just more of it, right?

More of it. It’s okay, if we’re doing a. POC with 10 sites, but you have 30 sites. You want it in the 30 sites as soon as possible. If you’re doing it to automate a few cases, but you know that you can actually automate more cases. You wanna do it as soon as possible as well. So it triggers, once you start this process, there’s no way back.

it triggers this vicious cycle where you are constantly thinking, okay, what’s the next thing [00:21:00] that if possible, I don’t wanna do it again. It’s very exciting.

Joel Saxum: I’m thinking about when I used to write reports in Excel and I learned, I finally learned how to do a macro in Excel, and then I was like, why I’m never writing another basic one of these reports again.

I could just push a button and it does it all. and it’s life changing, right? So once you get onto that, there’s just, there’s, people that are wired that way too, right? I used to have a, mentor that was wired. How can we do this better, faster, more efficiently? And it, he was trying to put that into everything we did.

Once he figured out a little way to do here, a little way to do here was, how can we make this better? so you guys have been working, really hard to get this system out through the Green Eagle ASO solution out in the marketplace. Based on the success you’re seeing, what does it look like for the future?

What’s the next step?

Speaker 3: So I think that the, in the future what we see, at least what we are aiming for is that every wind farm should have a system like ours. I don’t really care if it’s ours or not, but it should work that way. as a, [00:22:00] from a technical point of view, it’s it doesn’t make any sense that not all wind farms are running with a system like ours.

So that’s the way we see it. Like it’s, Getting momentum. I think it took a while for us to, take off and to get large customers to use our software, but now that large customers are using it, and the system is more than validated. We already have this running in over 10,000 wind turbine vans.

So I think it’s more than proven that it works and that we are solving a problem that no longer exists anymore. This is how we see it, the wind industry in the next, three to five years. All of the wind farms should come with this, and essentially we’re trying to make it come with a software like ours from day one.

So even if they’re already still connected to the manufacturer. It only, this can only benefit in the long run, right? but starting from day one. So this is what we are working on and how to get there as soon as possible we can encourage our customers to, [00:23:00] to start using this automation. To enable them to take back control of their assets to their operations, to not rely on someone else to do your, the operations of your site.

if you wanna get out of the manufacturer and work with an ISP, you can also make sure that the response time from their control room is also gonna be immediate with the software. So as soon as you have it, you’re gonna see the returns. And actually, we also work with our customers to. To prove the increase of revenue that they experience.

And we, the benefits of automation also is that you can measure the impact, right? So we generally work with our customers. We can measure the impact in their operations and we normally capture like a third of what they are gonna receive. So it’s like a no brainer to use our software. And for that reason, we believe that three to five years from now, every wind farm is gonna be running autonomously.

Allen Hall: Wow. That would be amazing. And the Green Eagle Solutions website, if you haven’t [00:24:00] visited it, you need to, it’s green eagle solutions.com. There’s a. Great information on that site. If you want to dive in deep or just take a cursory look, that’s the place to start. Alejandro, if they want to connect with you to learn more about ARSOS and what it does, how would they do that?

Speaker 3: the most, straightforward way to write an email to sales@greeneaglesolutions.com.

Allen Hall: That’s a good place to start. And you can also find Alejandro, LinkedIn also. Alejandro, thank you so much for being with us today. Tremendous product, very interesting technology. I. Thank you so much for having me today.

Green Eagle’s ARSOS Automates Wind Farm Operations

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