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AI for Sustainability Projects

Introduction AI for Sustainability Projects

The fight against climate change and achieving true sustainability demands innovative solutions, and Artificial Intelligence (AI) emerges as a potential game-changer. 

This revolutionary technology, capable of analyzing colossal datasets and uncovering hidden patterns, holds immense promise for safeguarding our planet.

Imagine AI-powered smart grids predicting energy demand with pinpoint accuracy, dynamically adjusting resources to match, and slashing carbon footprints. Agriculture, too, can undergo a sustainable transformation with AI-driven systems optimizing water usage, identifying optimal planting times, and minimizing fertilizer waste. These are just a glimpse of the possibilities – AI can guide us towards building more efficient cities, harnessing renewable energy with greater precision, and even predicting and mitigating environmental threats like deforestation and pollution.

Harnessing AI’s full potential for sustainability requires responsible implementation. Addressing ethical concerns and ensuring bias-free algorithms is crucial for equitable solutions. We must also prioritize energy efficiency in AI development and operation, lest the technology we deploy to combat environmental issues ends up contributing to them. By approaching AI with foresight and unwavering commitment to sustainability, we can forge a future where this powerful tool empowers us to live in harmony with our planet.

AI for Sustainability Projects


AI for Sustainability Projects: A Glimpse into the Future

The potential of AI to revolutionize sustainability efforts is vast and inspiring. Here are just a few examples of exciting projects harnessing this technology for a greener future:

1. Mbaza AI: This South African project uses AI-powered cameras and sensors to monitor illegal wildlife poaching in real-time. The system analyzes footage to identify suspicious activity and alert rangers, drastically improving response times and protecting endangered species.

2. Pachama: This AI platform helps businesses and investors assess and manage their deforestation risks within their supply chains. By analyzing satellite imagery and other data, Pachama identifies areas prone to deforestation and guides companies towards sustainable sourcing practices.

3. Open Climate Fix: This AI-powered platform helps communities around the world adapt to climate change. By analyzing local weather data and predicting extreme weather events, Open Climate Fix provides actionable insights for communities to prepare and build resilience.

4. Mobius: This project developed an AI system to automatically detect and classify whales from aerial imagery. This data is crucial for whale conservation efforts, aiding in population monitoring, migration tracking, and identifying threats like ship collisions.

5. Bumble Bee Watch: This citizen science project leverages the power of collective action and AI. People contribute photos and location data of bumblebees, and an AI system analyzes this data to map bee populations, track their decline, and inform conservation strategies.

AI for Sustainability Projects: Mbaza AI

AI for Sustainability Projects: Mbaza AI

Mbaza AI: Guardian of the Wilds

Deep within the lush rainforests of Gabon, a silent sentinel watches. Mbaza AI, a groundbreaking project harnessing the power of artificial intelligence, stands guard against a silent threat: illegal wildlife poaching.

A Powerful Vision System:

Imagine a network of AI-powered cameras strategically placed along animal corridors. These cameras, equipped with Mbaza’s intelligent vision system, tirelessly scan the footage, meticulously analyzing every movement within their range. Unlike their human counterparts, Mbaza AI never sleeps, never tires, and never misses a beat.

Unmasking the Poachers:

With lightning speed and unerring accuracy, Mbaza AI identifies suspicious activity. The rustle of leaves in the undergrowth, the glint of a snare, the telltale footprints in the damp earth – nothing escapes its watchful gaze. When it detects potential poaching, the system springs into action, sending real-time alerts to park rangers.

Saving Precious Lives:

Armed with this critical information, rangers can respond swiftly and effectively. Poachers, once able to operate with impunity under the cloak of darkness and dense foliage, are now exposed. Precious minutes and miles are saved, often making the difference between life and death for endangered species.

Beyond Poaching:

Mbaza AI’s impact extends far beyond simply deterring poachers. The rich data collected by the cameras provides valuable insights into animal behavior, migration patterns, and habitat use. This information empowers conservationists to make informed decisions, optimize patrol routes, and develop targeted anti-poaching strategies.

A Beacon of Hope:

Mbaza AI is a shining example of how technology can be harnessed for good. Its success in Gabon serves as a beacon of hope, inspiring similar projects around the world. From tracking illegal logging in the Amazon to monitoring endangered marine life in the Coral Triangle, AI is proving to be a powerful weapon in the fight for our planet’s biodiversity.

The Future of Conservation:

As AI technology continues to evolve, Mbaza AI is constantly learning and adapting. Its algorithms are refined with each new piece of data, making it even more efficient and effective at protecting wildlife. The future of conservation looks bright with Mbaza AI standing guard, its intelligent eyes ever vigilant in the watchful defense of our precious natural world.

AI for Sustainability Projects: Pachama


AI for Sustainability Projects: Pachama

Pachama: Weaving a Future from Forest Fibers

In the ever-urgent fight against climate change, a quiet revolution is brewing beneath the emerald canopy of the world’s forests. Pachama, a name echoing the Andean Mother Earth goddess, stands at the forefront of this revolution, using AI and satellite data to weave a more sustainable future.

A Forest Guardian Armed with Algorithms:

Pachama isn’t your typical environmental organization. Forget boots on the ground – theirs are satellites in the sky, armed with sophisticated AI algorithms that peer deep into the heart of forests. Their mission? To map and monitor the very forests that play a critical role in absorbing carbon dioxide, the enemy at the heart of the climate crisis.

From Pixels to Protection:

With each satellite image, Pachama’s AI brain crunches the numbers, meticulously calculating the amount of carbon stored within the trees. These carbon maps, precise and detailed, serve as powerful tools. Companies seeking to offset their carbon footprint can invest in forest conservation projects identified by Pachama, ensuring their investments directly protect existing forest cover.

More Than Just Numbers:

Pachama’s impact goes beyond carbon credits. Their vigilant AI constantly monitors for signs of deforestation, wildfires, or other threats. Early detection means quicker response, potentially saving irreplaceable trees and the carbon they hold captive. This continuous monitoring also empowers local communities to manage their forests sustainably, promoting biodiversity and protecting their livelihoods.

A Global Tapestry of Green:

Pachama’s reach extends far beyond any single forest. Their network of satellites and AI collaborators spans the globe, from the lush Amazon to the rugged Indonesian mangroves. Each new partnership, each forest mapped, each carbon credit traded, adds another vibrant thread to their tapestry of green.

The Future Beckons:

With every pixel analyzed, every forest protected, Pachama inches us closer to a future where forests and technology work hand-in-hand. Their vision: a world where businesses offset their emissions by nurturing the very lungs of our planet, where local communities thrive alongside thriving forests, and where climate change, though a potent threat, is met with the collective might of nature and innovation.

Pachama is a reminder that hope flourishes even in the shadow of environmental challenges. In the delicate ecosystem of our planet, Pachama has found a way to weave together technology, nature, and human ingenuity, creating a future where forests not only survive, but thrive, becoming the cornerstones of a truly sustainable world.

AI for Sustainability Projects: Open Climate Fix


AI for Sustainability Projects: Open Climate Fix

Open Climate Fix: Hacking the Climate Crisis with Open Source

Imagine a world where tackling climate change isn’t just about lofty goals and distant deadlines, but about immediate action, open collaboration, and accessible tools. That’s the world Open Climate Fix (OCF) envisions, and they’re building it one line of code and one shared dataset at a time.

Open Source Heroes:

OCF isn’t your typical non-profit. Forget stuffy boardrooms and hierarchical structures – this is a dynamic team of climate warriors armed with laptops and a fierce spirit of collaboration. They believe in open-source everything, sharing their code, data, and knowledge with the world for anyone to use and improve.

Hacking the System, One Project at a Time:

Their projects are as diverse as they are impactful. From predicting renewable energy generation to mapping solar panel locations, OCF tackles real-world climate challenges with practical solutions. Their “Solar Mapper” pinpoints rooftops with the most solar potential, empowering communities to harness the sun’s energy. Their “PV Forecast” accurately predicts how much power solar panels will generate, helping grid operators integrate renewables seamlessly.

Open Doors, Open Minds:

But OCF’s impact goes beyond the code they write. They believe in empowering others, training individuals from all walks of life to become climate-tech heroes. Their workshops and hackathons break down technical barriers, welcoming anyone with a passion for the planet to contribute.

A Network of Fixers:

OCF is more than just a team – it’s a community. Their open-source ethos fosters collaboration around the globe, connecting engineers, scientists, and citizens to share knowledge and drive collective action. This network of “fixers” is constantly innovating, finding new ways to hack the climate crisis and build a more sustainable future.

The Code for Change:

Open Climate Fix is a testament to the power of open minds and open source. They’re proving that tackling climate change doesn’t require exorbitant budgets or exclusive patents – it needs collaboration, transparency, and a shared commitment to action. By democratizing climate tech and empowering communities, OCF is writing the code for a future where everyone can be a hero in the fight for our planet.

AI for Sustainability Projects: Mobius


AI for Sustainability Projects: Mobius

Mobius: Guardian of the Deep, Powered by AI

Beneath the vast expanse of the oceans, hidden giants glide through the waves. Whales, these majestic creatures, play a vital role in the delicate balance of marine ecosystems. Unfortunately, their very existence is threatened by human activities like ship collisions and entanglements in fishing gear. Enter Mobius, a pioneering project harnessing the power of artificial intelligence to become the silent guardian of these gentle giants.

Seeing Through the Sea’s Surface:

Mobius isn’t your typical whale-watching tour. Equipped with AI-powered software, it analyzes aerial imagery with the keen eyes of a digital eagle. The system dissects every pixel, recognizing the telltale splashes and ripples that betray a whale’s presence even beneath the churning surface.

From Pixels to Protection:

Once a whale is identified, Mobius springs into action. The system meticulously classifies the species, pinpointing its location and direction of movement. This vital information is then shared with researchers, conservationists, and even shipping companies, allowing them to take proactive measures. Ships can reroute to avoid collisions, conservation efforts can be targeted toward specific areas, and researchers can gain valuable insights into whale behavior and migration patterns.

Beyond Whale Watching:

Mobius’ impact extends far beyond whale protection. The system can also detect other marine life like seals, dolphins, and even fish schools, contributing to a more comprehensive understanding of ocean ecosystems. This data can inform sustainable fishing practices, protect vulnerable species, and ensure the health of our seas for generations to come.

A Global Watch, a Collaborative Future:

Mobius isn’t confined to a single ocean. This innovative technology is adaptable and scalable, ready to be deployed wherever whales need protection. As collaborations with research institutions and conservation groups around the world grow, Mobius’ watchful gaze expands, creating a global network of guardians for the creatures of the deep.

A Future Where Whales and Technology Coexist:

Mobius represents a hopeful glimpse into a future where technology and conservation work hand-in-hand. With every whale identified, every collision avoided, every ecosystem protected, Mobius paves the way for a more harmonious relationship between humans and the denizens of the oceans. It is a testament to the power of innovation to not only understand, but also protect, the wonders of the natural world.

AI for Sustainability Projects: Bumble Bee Watch


AI for Sustainability Projects: Bumble Bee Watch

Bumble Bee Watch: A Buzz for Conservation with Citizen Science

In the vibrant dance of nature, few pollinators play a more critical role than bumblebees. These fuzzy ambassadors of biodiversity, with their cheerful hum and pollen-dusted coats, contribute immensely to the health of ecosystems and agricultural yields. Sadly, bumblebee populations face a multitude of threats, from habitat loss to pesticides. But in the midst of this environmental challenge, Bumble Bee Watch emerges as a beacon of hope, buzzing with the power of citizen science.

Empowering Everyone to be a Bee Guardian:

Imagine a world where anyone, anywhere, can become a protector of these crucial pollinators. Bumble Bee Watch makes this a reality. Through their user-friendly website and mobile app, anyone can submit sightings of bumblebees, sharing the location, species, and even photos of these fuzzy friends. This collective data becomes a powerful tool for conservationists.

From Observations to Insights:

With each bumblebee sighting, Bumble Bee Watch paints a clearer picture of these vital insects. The project tracks population distribution, identifies at-risk species, and monitors the impact of environmental changes. This knowledge empowers researchers and conservationists to develop targeted strategies to protect bumblebees, from restoring critical habitats to advocating for bee-friendly practices.

More Than Just Data:

Bumble Bee Watch isn’t just about collecting data; it’s about sparking a love for nature. The website and app provide educational resources, fun quizzes, and engaging activities that help raise awareness about the importance of bumblebees and the threats they face. This inspires individuals of all ages to become champions for these fuzzy pollinators.

Building a Global Buzz:

Bumble Bee Watch transcends borders, with its reach extending across North America and beyond. This collaborative effort unites scientists, conservationists, and concerned citizens, creating a powerful network of bumblebee advocates. As the data and knowledge base expand, so too does our understanding and ability to protect these vital insects on a global scale.

A Future Where Bumblebees Thrive:

Bumble Bee Watch exemplifies the power of citizen science to drive conservation. By engaging the public, collecting valuable data, and fostering a love for nature, this project paves the way for a future where bumblebees, and the ecosystems they sustain, can thrive. It’s a reminder that even the smallest actions, like recording a bumblebee sighting, can contribute to a larger buzz for conservation.

AI for Sustainability Projects

Conclusion AI for Sustainability Projects

Artificial Intelligence (AI) emerges as a potent force for good in the fight for sustainability. Its ability to analyze vast amounts of data, uncover hidden patterns, and optimize processes holds immense potential across various environmental and social challenges.

From the silent guardians of wildlife like Mbaza AI and Pachama to the community-driven citizen science of Bumble Bee Watch and the open-source innovation of Open Climate Fix, AI projects are paving the way for a more sustainable future. These initiatives demonstrate the diverse applications of AI, tackling deforestation, protecting endangered species, predicting weather patterns, and empowering communities to adapt to climate change.

However, harnessing AI’s full potential for sustainability requires responsible and ethical implementation. We must address issues of bias, ensure transparency in algorithms, and prioritize environmental sustainability in technology development. Furthermore, collaboration between researchers, policymakers, and practitioners is crucial to ensure the effectiveness and equitable distribution of AI-driven solutions.

AI is not a silver bullet, but a powerful tool in our collective toolbox for building a more sustainable future. 

By combining it with human ingenuity, ethical considerations, and unwavering commitment to the environment, we can leverage AI’s capabilities to protect our planet and ensure a thriving future for generations to come.

Here are some key takeaways:

  • AI offers diverse applications for tackling sustainability challenges, from optimizing resource use to protecting endangered species.
  • Responsible and ethical implementation is crucial to avoid amplifying existing inequalities and environmental burdens.
  • Collaborative efforts between stakeholders are essential for maximizing the impact of AI for sustainability.
  • Continuous innovation and research are needed to unlock the full potential of AI for a sustainable future.

The journey towards a sustainable future is one we must embark on together. By embracing the potential of AI while ensuring its responsible use, we can create a greener, healthier, and more equitable world for all.

https://www.exaputra.com/2024/01/ai-for-sustainability-projects.html

Renewable Energy

Pardalote Studies Australian Blade Erosion and Heat Fatigue

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Weather Guard Lightning Tech

Pardalote Studies Australian Blade Erosion and Heat Fatigue

Rosemary Barnes, CEO and founder of Pardalote Consulting, joins to discuss their new grant-funded study of blade erosion and heat fatigue in Australia.

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 2025: Well, Rosemary, welcome back to the show.

Rosemary Barnes: Thanks, Allen. Great to be here. For, it’s been a while since we did one of these one-on-one episodes, like a, yeah, a proper, proper guest. 

Allen Hall 2025: Well, this is kind of a celebratory episode because your company, Pardalote Consulting, has been awarded, uh, some funding from the Australian Capital Territory’s government for the Energy Innovation Fund.

Rosemary Barnes: It’s a really good program that the ACT government has to try and get energy innovation In the state. It’s not a state actually, it’s technically a territory. Little more than just Canberra, the city. Uh, but there are actually quite a few, like, really interesting energy-related companies here, partly ’cause of the, the fund I think helps, but also just tracing back like, [00:01:00] uh, y- you know, in the 20-teens, Australia had a really conservative government that hated renewable energy, and the ACT government had a commitment at that time to 100%, um, 100% renewable electricity for the, the government.

And that was one of the only programs that was resulting in a lot of, um, you know, clean energy projects being built, and one of the conditions that they put on that, uh, for people that would win PPAs with the ACT was that you had to have your headquarters in Canberra. So we’ve actually got quite a few, quite a few really cool, innovative companies out of here.

Um, like Neoen’s headquarters here. Windlab, uh, yeah, was, was founded here and still has a lot of people here. Pardalote obviously, and you know, a few other companies as well. So despite it being a small city of like, I don’t know, maybe it’s up to 400,000 or something people by now, um, yeah, there is actually quite a lot going on here for energy.

Allen Hall 2025: And the Energy Innovation Fund is funded by the wind and solar operators in the area, and your particular [00:02:00] effort has really global consequences. You’re focusing on two areas involving how wind turbines survive Australia, but more, uh, of relevance is to just really tough conditions which exist not just in Australia but around the world.

What two areas are you going to focus on?

Rosemary Barnes: Yeah. So the two focus areas are leading edge erosion and high temperature fatigue, which we can probably get into the definitions of those in a minute. But basically my, um– what led me to wanna have a project like this was that when I moved back to Australia in 2021, I– and I started working in O&M, uh, I noticed that the wind turbines that I would look at, the blades that I would look at here behaved really differently to the ones that I worked with overseas.

You know, es- especially with leading edge erosion, like often I would be doing a condition assessment of a, you know, a new wind farm. Um, might only have been operating for, you know, two years. That’s a pretty common time for people to get in and do a condition assessment [00:03:00] because their warranty period is about to end and they wanna, you know, make sure that everything is okay.

Um, and I would just notice that often, like 90, 100% of blades would already have bad erosion after just a couple of years, which is super-duper fast. And then there are some tools available to check, um, like what kind of erosion are you likely to experience on your site. Like is it a higher severity erosion site or a, a low severity one?

Um, and you basically, you know, the status quo globally is to just look at the annual rainfall, um, and the tip speed. And if you’ve got, you know, high for both of those, that’s a bad erosion site. And if you’ve got low for both of those, it’s a, a low erosion site. But when I plotted out the wind farms that I knew had really bad erosion problems onto, you know, a chart with those two axes, I just saw a random distribution of dots.

You know? Like, this was not– uh, this had no predictive value for Australian wind farms. And so that led me to believe that, okay, um, you know, things are a bit [00:04:00] different here. Makes sense, you know, most of the knowledge that we have about how wind turbines operate, it’s been developed and validated mostly in Northern Europe.

You know? Like it’s, it’s Denmark and the surrounding countries that had, like, the bulk of the early wind energy. First few decades of knowledge were, you know, were mostly there. Of course, there were some other, um, places that had wind turbines, but, you know, most of the The OEMs have been operating for decades, came from Denmark.

And I know when I lived in Denmark, the rain there is very different to the rain in Australia. So in Denmark, it’s basically always raining, right? Like, it’s just… Like, even if it’s not raining, you’re still gonna get wet when you go outside ’cause it’s just, like, the air has this just amazing ability to just hold onto moisture.

Um, but it’s very, very gentle. But, you know, over an entire year of most days having gentle rain, that adds up to a lot. Whereas in Australia, and especially if you go, like, north to Queensland, it rarely rains. It’s mostly just dry, and when it [00:05:00] does rain, it’s like a tap turns on, and I, I swear you will get bruised from the rain droplets hitting your skin.

You know, they just have so much energy in them. So I think that that i- you know, when you look at just the overall rainfall, you really hide something important about how erosion, um, can progress. Then, um, there’s other places in Australia that have very different characteristics. Again, they don’t have that kind of really intense rain but, you know, some of those sites are also having really bad erosion.

And so it just occurred to me, I did a lot of research, you know, into what’s going on and, you know, the academics are studying erosion a whole lot, and they’ve got, you know, a lot of standardized tests and, you know, products are developed according to these standardized tests. But the standardized tests don’t actually resemble reality, and especially they don’t resemble reality in Australia.

And so my client started asking me, “Okay, you know, the products that we have are, are terrible. We have to replace them every couple of years. It’s, um, causing big problems with also [00:06:00] the amount of energy that you’re losing.” One of the types of, um, leading-edge erosion or leading-edge problems that we have in Australia is that the, the coatings tend to peel off and make these, like, big flakes which will just massively disrupt the airflow, can cause y- you know, at least a few percent AEP loss, and maybe up to five.

And even worse than the AEP loss is the revenue loss because it affects it most at, you know, lower wind speeds. Um, you get a bigger hit than at rated wind speeds. So there’s a variety of problems going on with leading edges in Australia, which mean that I, I basically… My clients would ask, “What product should we put on to prevent having to, you know, constantly replace this?”

‘Cause it costs, like- you know, 30, $40,000 per turbine to replace the protection, not to mention, you know, one or two days of downtime. It’s expensive, and I basically, I didn’t have a good answer for them. What, what product should they put on? I don’t know. No, we, we don’t know. One, we don’t know what the [00:07:00] specific, um, characteristics are that are…

what the specific local environment, local conditions are that are accelerating leading-edge erosion, one. And two, all of the products tend to be tested around this, you know, there’s this protocol that academics have come up with, and they’ve kind of like assumed that this is representative of how things behave in the field, and it’s– I don’t think it’s particularly true anyway, but it’s especially not true in Australia.

There are a few companies that are testing to different standards. Um, definitely applaud them. But without knowing wha- what are the conditions truly like in Australia, uh, it’s really hard to advise, like, what kind of tests should you be demanding from a product you’re considering to be sure that you’re gonna put it on and not gonna be replacing it again in two years.

Allen Hall 2025: Because that’s really the trouble in Australia is when you get offered products They have been tested generally in somewhere in Europe and maybe in the United States, and then when they go to [00:08:00] Australia, it’s really unknown as to how those products will do, which is a huge risk for the Australian wind market as to what to choose, how to choose, is it– what’s real in terms of test data.

So now you’re gonna go out and do what? Are you gonna put sensors out by the wind farms? Are you gonna try to do more of a statistical summary of the actual environment around wind farms using existing data? What’s the approach here?

Rosemary Barnes: It’s all of the above, but the part that is supported by the grant is that we’re gonna have enough money to be able to buy some scientific-grade sensors and put them on, um, a sample of Australian wind farms.

So we’re gonna be looking at a lot more characteristics about the rain than simply is it raining now, you know, how many millimeters per hour. We’re also gonna be investigating, you know, every kind of characteristic of, of that, um, of that rain, um, including, yeah, like the, the energy that’s in it, for example.

A, a bunch of stuff. I won’t get into every single [00:09:00] parameter. Um, and you know, other things as well, like measuring UV, solar radiation, um, particles, because, you know, in Australia we have a lot of dirt roads, which I know is very common in wind farms around the world, but Australian dirt roa- roads are always dry and dusty, like 99% of the time, so that’s one of the things that y- you know, maybe that’s causing a difference.

Um, so basically putting sensors all over a bunch of wind turbines and then monitoring the erosion, um, a combination of some real-time monitoring and also looking at inspection, um, drone inspection images annually. We also have a- an option where we’ll just be using SCADA data and inspection images, so that’s like a lower cost version where we can combine that with the findings from the scientific-grade instrumented turbines to build up a picture of what types of conditions lead to accelerated erosion.[00:10:00]

Allen Hall 2025: So the SCADA data will, will have some information inside of it, you think, that, uh, will correlate to the weather outside?

Rosemary Barnes: It has some Additionally, we can look up, um, you know, just the weather data, like how many millimeters fell during which 15-minute interval throughout the day, what was the temperature.

SCADA will tell us also what the temperature was, um, what the speed of the turbine was, so you can calculate the tip speed, ’cause that’s an important thing. Um, yeah, so it’s, it’s two, it’s two tiers of data collection. The scientific grade sensors, as you can imagine, are, are really expensive and y- you know, the, the grant project has contributed a, a lot of funding, um, but it’s not enough to put those, yeah, put a little mini lab on top of every turbine across Australia, obviously.

So that we’re using s- doing selectively, and then we can increase the number of wind farms that are included in the study by just doing this, um, cheaper version of the SCADA [00:11:00] plus, uh, weather data that’s available.

Allen Hall 2025: So what are some of the risks on the temperature side for all the high-temperature regions of Australia that have wind turbines?

Clearly it’s generally warmer in Australia than it is in, in Scandinavia and Northern Europe. What kind of temperatures are we talking about on the ground?

Rosemary Barnes: Uh, well, temperatures here can get pretty close to 50 degrees. Um, and if you’ve ever been inside a wind turbine blade on a, even a mildly hot day, you’ll know that the temperature inside a wind turbine, and especially inside the blade, is much hotter than what it is, uh, what the ambient temperature is.

So this project is one– I’ve actually been talking about this project for, yeah, like over 10 years now. Ever since I started, I moved to Denmark, started working for a wind turbine manufacturer, I had done– I had just finished doing my PhD on composite materials, structural design, and analysis. So, um, yeah, very, very familiar with, [00:12:00] you know, how composite materials work and, in particular, the effect that temperature has on them.

I mean, like most materials, when composites get warmer, they get softer, and that is really important for a w- a wind turbine blade. You know, if it gets, um, less stiff, then you’re gonna get a lot more strain, and that is going to affect your fatigue behavior. Y- you know, fatigue is just the application of a little bit of, a small amount of strain.

It’s not gonna cause damage, but when you apply it millions, tens of millions of times, like you do in a, o- over a wind turbine’s operate, um, operating lifetime, then that builds up. And, you know, wind turbine blades are a very fatigue-driven design. Um, it’s one of the most important things to consider when you’re designing a wind turbine blade.

And so when I got to Denmark and I learned how materials are qualified and how the qualification is treated in the certification process, I just realized it’s not particularly conservative, and also that some of the assumptions that are made that [00:13:00] wo- again, they worked really well in more moderate climates where wind turbines have had most of their developmental history.

You know, it’s not such a big deal there if you test at room temperature. Your wind turbine blade is spending most of its operating lifetime at room temperature or below. It’s, it’s rarely, you know, above 30 degrees in Denmark and most of Northern Europe and, you know, also a lot of, um, a lot of America, not, not all of it But, um, in Australia it has just extended periods above that temperature and even exceeding the temperature where, you know, wind turbines have an operating limit and after that they will shut down.

But the operating limits are based on ambient temperature. It’s not based on what’s the temperature in the laminate, which is what really matters for blade lifetime. So anyway, I’ve been obsessed, like honestly obsessed about this issue for 10 years. Talked about it with anybody who would listen . But then when I started working in O&M in [00:14:00] Australia and I started seeing some wind farms with an abnormal number of cracks early…

again, early in their lifetime, you know, I think one of the wind farms I was looking at was maybe three years old or four at the time. I think it was three actually, and had a lot of cracks, and I looked at a few years in a row and it was more and more cracks every year and I’m like, “Oof, this really looks like end of life fatigue behavior.”

A- actually it’s not, y- you know, there’s this concept of a bathtub curve where, um, when you’re looking at failures in components, in, in anything, not just in, um, wind turbine blades, but you know, like you’d start– it’s called a bathtub because, you know, when it starts operating, you’ll get quite a lot of failures.

Anything big, any manufacturing defects or anything are gonna cause failures quite fast, and that kind of drops off over time as all of those, uh, get addressed. And then you have, you know, the bulk of your operating life, it’s like pretty low level, pretty, pretty constant for a long time and then as you get towards the end of the [00:15:00] life, you start to see failure rates rise up again.

That’s your fatigue failures, your end of life fatigue failures. And so when I saw the same types of cracks more and more each year, I’m like, “This looks like, you know, the foot end of the bathtub, not the head end.” And, uh, it made me worried and I’ve now seen that across a few wind farms in Australia at, um, hotter places.

There’s a few blade types that are more prone to it than others, but at this point it’s still a suspicion that that’s what’s going on. I mean, a suspicion backed by a lot of, a lot of theory and knowledge of how the certification process works. But this project now we’ve got some funding to actually go put some sensors onto wind turbines, actually learn what the temperatures are in the blades throughout the whole laminate, um, not just the, you know, on the outside surface or not just the ambient temperature, but actually, you know, develop a temperature gradient across the whole, um, the whole laminate in the blade shell.

Um, and [00:16:00] then we’re going to be doing a bunch of modeling basically to look at what is the effect of these different temperatures that blades are really seeing and how much would we expect to… that to decrease a lifetime. And then we should also be able to say, you know, if you have this issue in your wind farm, you might be able to change your operation a little bit and extend your lifetime a lot.

Because this one, it’s real– like, in contrast to leading edge erosion, leading edge erosion is just, it’s, you know, every wind turbine has it to a certain extent, and it, it’s always there, but it’s a relatively minor cost to fix it. You know, like it sounds like a lot, like 30, $40,000 per wind turbine, but, um, you know, compared to if you’ve got to replace every blade across your fleet because they’re all, you know, at the end of their life after five years, you know, that’s obviously shocking.

And, you know, that’s a bad example, but even in a y- you know, like a less extreme example, maybe [00:17:00] after 15 years you have to do a, you know, a f- a fleet-wide campaign to strengthen blades or something. It’s, you know, m- many millions of dollars for that, and so it c- could make sense to be able to learn, okay, what, what hours of operation should we be avoiding?

Additionally, because when it’s super-duper hot in Australia, usually you’ve got heaps of solar power and the electricity price is not that high. So I, I think that there– and I don’t, obviously, before we’ve done the project, I don’t know what the threshold is. But in both cases, we will be aiming to improve the knowledge of how you can operate to avoid these periods of accelerated damage.

Allen Hall 2025: Do you think you’re seeing more fatigue-like damage due to the blades operating when it’s hot or not operating when it’s hot, with maybe less airflow around the blade and maybe less cooling going on is just a temperature soak At rest? [00:18:00]

Rosemary Barnes: Yeah. It’s interesting because the temperature is higher if it’s not rotating, um, because you get a whole lot of, um, convective heat, heat transfer when the turbine is operating.

So your temperatures are not gonna get as hot when operating as when they’re standing still. However, if it’s standing still, they’re only very lightly loaded. Like, yes, they’re gonna get, um, blown by, by gusts and, um, have a little bit of bending, but it’s, it’s very, very small compared to, uh, if it is y- you know, operational loads.

Uh, assuming that you’re not in the middle of a s- a storm. But yeah, a storm probably doesn’t come with 50 degrees temperatures.

Allen Hall 2025: And what part of the blade is susceptible to these higher temperatures? Is it the resin? Is it the fiberglass or carbon fiber? Or is it the, the glue, the bond joints? What part are you focused on?

Rosemary Barnes: The resin is the main part that I’m focused on. It gl- it could be an issue for glue too, actually. I haven’t even looked into what the, um, yeah, temperature assumptions are with, with glue, with [00:19:00] bond lines. But the failures that I’m seeing in the field are not, are not bond line issues. It’s, it’s, um, a laminate problem.

Allen Hall 2025: What about balsa and foam inside of the blade? Are they affected by the temperatures or are they pretty temperature stable?

Rosemary Barnes: I don’t think they’re affected at these kinds of temperatures, no. They, they don’t really do much actually. The, the core materials, like it, it is very important that they’re, that they’re there, but their job is really to keep the fiberglass separated from its- itself to make it stiffer.

So, um, yeah, that’s, that’s unlikely to be a, a major source of problems.

Allen Hall 2025: So this study is gonna work over about three years, and you have a number of wind farms that are participating. Are you looking for more wind farms to participate in Australia?

Rosemary Barnes: Yeah. Yeah, definitely. I mean, we can, um, have as many as, as people want to join.

We’ve got quite a good selection so far. Definitely can always welcome more. A, a bit limited in how many can get the really, um, good sensor [00:20:00]package, because the grant funding is a, you know, a certain amount, and that’s paying the bulk of those sensors. So, um, those spots are limited. So if anybody wants to really zone in on what is specifically causing erosion on their site, you know, if you know that you have got leading edge protection that is not good enough and you have to replace it soon, but you don’t know what to replace it with, then, you know, that would be the kind of wind farm that might want to consider, yeah, joining this and, um, you know, getting these sensors on their, um…

We’re putting them on top of the nacelles, most of them. Um, yeah, so that would be a good match then. Um, and then, yeah, for the ones that are doing the SCADA data and, um, weather data- There’s not such a, a hard limit on how many we can have join like that. So yeah, we can have more, more like that.

Allen Hall 2025: In the temperature fatigue effort, i- is that still looking for participants or are there particular wind turbine types or manufacturers that you’re [00:21:00] looking for to participate?

Rosemary Barnes: Yeah, I think, um, I, I mean yes, we can have more of those. That’s a simpler, a, a simpler issue as well. The sensors are not so expensive and, um, it’s, yeah, it’s a, it’s a simpler project to join that one. We only need, you know, a couple of turbines per site, so it won’t be such a, uh, an involved process to get everything up on into the turbines.

And in terms of who might like to join that, I would say anybody that is in a really hot area where, you know, where they see a lot of days over 30 degrees, and if they see any days, you know, getting into the high 40s, then I would say that that’s worthwhile. Or even I have seen this issue in some milder sites, um, yeah, depending on the, on the blade type as well.

It is more common with polyester resins. They have a, a lower op- uh, maximum operating temperature than epoxy resins. But then also just anybody that has noticed just, hey, [00:22:00] we’ve got a lot of cracks, and it seems like we’re getting more and more cracks every year, which to be honest, can be hard to keep track of if you’re…

If you’ve got a full service agreement, uh, you know, an OEM managing your wind farm The early signs of this are gonna be category one and category two cracks. They’re not in exactly the same location. It’s, you know, it’s a tricky one. Normally, if you’re looking at a serial issue, then you’re going to have, uh, well, you know, your ideal pattern for a serial issue is the exact same thing happening over and over again.

And so it is harder to pull this out. It also really would be very rare for it to be happening in the first two years or three years, whatever your serial defect liability period is. So it’s quite hard. But, um, another group of wind farms that might like to consider it is if you know that in, you know, a certain number of years you have to renegotiate your service agreement or, you know, it ends and you might have to take over yourself, then this’ll be a really good way for you to [00:23:00] understand, you know, have I got a ticking time bomb here?

Um, because it’s not something that you’re gonna be aware of if you haven’t been, you know, doing some really, really in-depth shadow, shadow monitoring of your blades, you know, running your own inspections and looking at every single damage, not just category three, four, five, but lower ones. So yeah, I mean, there’s a, a wide variety of people that, that could be interested in joining.

Allen Hall 2025: Are you expecting a number of manufacturers that make leading-edge protection or involved in resin creation, some– there’s a number of resin companies and a variety of resins that are used globally, sort of interchangeably at times. Are you expecting some of those companies to participate in this effort just to learn about the Australian environment?

Rosemary Barnes: I think it would be a good opportunity to test out some products and see how they behave in the Australian context. I think that that would be a really good selling point, but I, I have to say that most of the companies doing that sort of thing that wanna enter Australia, they don’t [00:24:00] really consider…

Like, from the perspective of wind farm owners in Australia, if you can’t show us wind farms in Australia where this has worked and, you know, show us a before or after, you know, the old LEP lasted Two years and our LEP is going on four years now with no damage. It, you know, unless you’ve got a before and after like that, you can tell us however many turbines that you’ve got installed around the world, but, um, we don’t consider it validated, y- you know?

It’s not validated for Australian conditions yet. And I do have this same discussion over and over again with, you know, not just leading edge protection, but all kinds of, um, you know, manufacturers of whatever doodads that you put on to improve a, a wind turbine. It’s so different to Australia. Things break so fast.

And I’m talking everything, you know, like vortex generators fall off and, um, yeah, like, uh, you know, bits of lightning protection systems fall off, seals just [00:25:00] crumble and disintegrate. Um, and it, you know, we’re very wary of, of new products. So I, I do– I mean, I’m thinking of it more from my client’s point of view than from the product manufacturer’s point of view.

But one thing that I wanna get out of this pro- project is to be able to answer one of the most common questions that I get is, which is, what leading edge protection should I be putting on my turbine? And for now, I don’t know. I, I know a range of products that don’t work in Australia, and not much more than that.

So, um, yeah. And it’s also, you know, Australia’s a very varied place with lots of different kinds of climate too. So it’s not gonna be like, you know, the product that works in Queensland is the same one that’s gonna work in Tasmania, which is the same one that’s gonna work in Western Australia. You know, um, so it, this project is gonna really pull out what are the site specific issues you’ve got at your site and what kinds of, um, you know, tests would we need to see a product um, perform in order to know that this [00:26:00] is gonna last on your site.

Allen Hall 2025: W- what is the outcome of this project or these two projects? Are they gonna be reports or, uh, a, a continual monitoring system that’s designed for the Australian environment? How do you see this going?

Rosemary Barnes: Yeah, so one part of it is, um, developing a way to identify periods of accelerated damage and to know not to operate during that time.

So we call it protective operation. Uh, so that would, uh, help you if, yeah, you’re trying to extend the life of something or increase the amount of time before you have to repair, then y- you know, that would be useful to have that knowledge. And it will be as simple as just an alert saying, “Hey, accelerated damage conditions.

Consider, you know, if you wanna keep on operating.” And, you know, if the price of electricity is super high at that time, they may want to push through, and if it’s low, they probably won’t want to. So that’s one thing. Um, especially, you know, as wind turbines get to their, near the end of their life. I’ve got some clients whose wind farms only have, you know, [00:27:00] maybe five years operation left.

They just simply don’t wanna repair their leading edge protection again. They just, they, they don’t wanna do that. So they would be happy to, you know, reduce operation a bit and have their turbine limp through to the end of the period. Y- you know, you want everything to wear out at once. You don’t want brand-new leading edge protection on a turbine that’s going to come down in a couple of years.

Um, so, you know, that’s, that’s one part of it. And then the other thing is, you know, turbines earlier in their lifetime, how can we optimize the maintenance schedule with leading edge erosion? Um, so, you know, like it’s a lot cheaper to, uh, replace the LEP if you get– catch it early, but then you don’t wanna be catching it too early and replacing it, you know, constantly when you, you don’t need to.

So, um, yeah, it, this, having this knowledge will enable a site-by-site operations and maintenance strategy with respect to leading edge protection. We also have some sites who are having trouble. They’ve got a full service agreement, and the OEM is [00:28:00] responsible for, um, doing the leading edge erosion repairs and protection replacement, but the owner is on the hook for paying for it.

At the other end, we’ve got people with full service agreements where technically the, um, manufacturer is supposed to be doing the leading edge protection and paying for it, but they argue about what, when does it need to be done. Because, you know, um, the operator might think if there’s no structural risk, then we don’t need to be replacing it.

And in the meantime, you’ve got turbines spinning around for years and years and years with, you know, these huge flakes of leading edge protection s- you know, causing the flow at the tip of the turbine to, to detach and to stall, and horrible aerodynamics, huge losses in power generation and revenue. And they’re having a big fight about, you know, is this necessary to do or not?

And then, you know, they’re just gonna put the exact same product on again ’cause the [00:29:00] OEMs are re- all really, really wedded to their own particular brand. It’s like, “Well, last time we had this product and it was factory applied, it lasted one year before it s- it was worse than, you know, if it wasn’t there at all.

Uh, we don’t really want you to put that one on again.” And so, you know, having the information that they need to be able to, you know, really bring data to these discussions and, you know, makes a, yeah, data not drama. That’s a, a good approach I think, um, for any kind of negotiation and especially in the case of leading edge erosion.

And then for the high temperature fatigue part of the problem, aside from, you know, just wanting to know are your blades aging, should you be looking at remediation action or changing the operation, the other really big key thing is, uh, you might need to have a fight with y- your OEM about if this turbine has been designed and operated correctly.

And so then having the data from this, um, project is going to give you the information that you need to come into that [00:30:00] argument with, again, the data not the drama. Um, and to, you know, in- increase your chances of succeeding in that kind of really tricky negotiation.

Allen Hall 2025: So if you’re an OEM or a manufacturer of equipment, an ISP, an operator, pretty much all aspects of wind operations, you probably ought to be getting a hold of Pardalote Consulting and Rosemary to talk about the opportunity to participate in this study.

How do people get ahold of you to, to do that?

Rosemary Barnes: People can go to our website, pardaloteconsulting.com, and get in touch via the contact form there, or you can, uh, look me up on LinkedIn, Rosemary Barnes. That’s probably the easiest, fastest way to get ahold of me personally.

Allen Hall 2025: Well, Rosemary, congratulations on the Energy Innovation Fund Awards and the new three-year effort.

If you are interested in participating with Pardalote Consulting and working with Rosemary and her team [00:31:00] in Australia, reach out to her on LinkedIn and get that process started, because this report and the data from all this analysis that’ll happen over the next couple of years will be important to the wind industry.

So you need to spend some time and get ahold of Rosemary and get this process started now. So Rosemary, congratulations. Uh, thanks for being back on the podcast, and looking forward to, uh, the next couple of years. It sh- should be exciting.

Rosemary Barnes: Thanks so much, Allen.

Pardalote Studies Australian Blade Erosion and Heat Fatigue

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Artificial Stupidity?

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We all understand that there are ultra-conservatives living all around us, but does anyone truly believe that our schoolteachers are ruining our society by teaching children the truth about U.S. and world history? Science? Current events?

Slavery and Jim Crow laws were bad.  Fascism is bad.  Our scientists are telling us that CO2 emissions are causing world temperatures to rise, destroying our planet’s capacity to support life.

Whom do these concepts upset?

Artificial Stupidity?

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No Such Thing as a “Dumb Question”

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There is nothing dumb about the question posed at left.  Democracies fail, falling into “banana republics” constantly.  The rate at which democracies become tyrannies is so great that some of them never make the news. Can you tell me anything about the governments of Eritrea or Chad?

What makes the situation in the United States is, yes, that it’s happening here in the United States, the very last place anyone would have suspected it.

You might have thought that Americans wouldn’t have voted for their nation to become Russia or North Korea.

You would have been wrong.

No Such Thing as a “Dumb Question”

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