Show notes
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,