ANNEA

🌍✨ What do you wish for the planet in 2025? ✨🌍 In this video, the ANNEA team shares their heartfelt wishes for the planet in 2025. From bold goals for renewable energy to aspirations for environmental protection, each message reflects our passion and commitment to building a sustainable future. These are more than just wishes - they are a call to action. Together, we can turn these dreams into reality and make a meaningful impact for generations to come. Dana Sultanova João Francisco Santos Gabriel Amoras Richard Saverimuthu João Monteiro, PhD Dr. Maik Reder Katie Kerth Marcel Frenzel David Bores João Morgado ✨ What’s your wish for the planet in 2025? Share it below. Dana Sultanova João Francisco Santos Gabriel Amoras Richard Saverimuthu João Monteiro, PhD Dr. Maik Reder Katie Kerth Marcel Frenzel David Bores João Morgado #Sustainability #FuturePlanet #ANNEA

ANNEA counts over 10 different nationalities. We came from different countries to Lisbon to work together and to make a difference in the green energy industry. Some of us are not used to celebrating Christmas without snow, others are not used to celebrating Christmas in December. However, we are already used to celebrating it together at ANNEA as a strong international team of professionals who are passionate about innovations, nature, and sustainability. We are sending our Christmas wishes to our like-minded colleagues all over the world! Merry Christmas, Frohe Weihnachten, Feliz Natal, С Рождеством, Feliz navidad, Joyeux noël, Vrolijk Kerstfeest!

🌬️ The AI market in the wind energy industry is experiencing tremendous growth, revolutionizing how we harness renewable energy. Advanced algorithms and machine learning models are now optimizing wind farm operations, from predicting wind patterns to enhancing turbine efficiency. This is leading to significant reductions in operational costs and a boost in energy production. As the industry shifts towards more sustainable practices, AI is playing a crucial role in minimizing environmental impact by reducing downtime and enabling predictive maintenance. The integration of AI-driven analytics is not just about efficiency—it's about ensuring the reliability and longevity of wind energy assets. ANNEA is at the forefront of this transformation, developing cutting-edge AI solutions that empower wind energy providers to maximize their potential. We're proud to be part of an industry that's not only growing but also leading the change towards a greener future. 🌍 #AI #greentech #windenergy #renewableenergy #innovation

ANNEA's innovative technology addresses key challenges in the wind industry, such as underperformance, high O&M costs, and unplanned downtime, promising to enhance efficiency and reliability in sustainable energy production. 💡 Underperformance is a common issue with wind turbines, as they often operate below their potential, around 30% of the time. ANNEA's technology can detect underperformance, increasing energy production by 5-15%. For example, if a wind farm produces 6 million kilowatt-hours annually, this technology could power an additional 75-225 households without adding more turbines. Lowering Operation and Maintenance (O&M) costs is also crucial. ANNEA's early problem detection prevents emergencies, saves money, and reduces the carbon footprint by minimizing maintenance trips. By planning maintenance strategically, service providers can address multiple issues simultaneously. Unplanned downtime is another shared concern, but ANNEA reduces downtime by 80%, turning it from unplanned to planned. Predictive maintenance and underperformance detection are key to optimizing wind turbine performance, lowering costs, and enhancing reliability. 💫 ANNEA's data-driven approach leads the wind energy sector towards a more efficient, sustainable future. #predictivemaintenance #underperformancedetection #windenergy #greentech #innovations

🚀 Exciting Opportunity in Wind Energy Digitalisation! 🌍 Join ANNEA in the "Training Wind Energy Experts on Digitalisation" (TWEED) Doctoral Network which is recruiting 12 motivated Doctoral Candidates (DCs)! This unique programme, co-funded by the EU's Horizon Europe Marie Sklodowska-Curie Doctoral Network, offers cutting-edge research and training in Wind Energy Data Science. As a DC, you’ll dive into predictive maintenance, digital twin technology, and advanced data-driven strategies to boost wind turbine performance and lifespan. At ANNEA, you'll focus on predictive maintenance, digital twin frameworks, and collaborate with top experts from some of the best European Universities and other international organizations in the wind sector. With full-time contracts, attractive salaries, and a highly supportive international team, TWEED aims to foster the next generation of wind energy innovators. If you’re passionate about renewable energy and data science, and hold a relevant Master's degree, apply now to shape the future of wind energy (see the link below). Let's work together towards a sustainable planet! 🌱 #PhDOpportunity #WindEnergy #DataScience #TWEED https://annea.ai/career/

Wind turbines are a vital source of clean energy in the fight against climate change, but they’re often misunderstood. Here are a few clarifications: 🦅 **Birds**: It’s a myth that wind turbines frequently kill birds; they actually cause far fewer bird deaths than fossil fuel projects. Modern technology even detects birds from 700 meters away, allowing turbines to slow down and prevent harm. Thanks to DTBird & DTBat 🔊 **Noise**: Concerns are often overstated. A single turbine, 300 meters from a home, generates about 43 decibels—comparable to a fridge. Plus, wind farms are usually located in remote areas. 🌍 **Land & Reliability**: While land availability for turbines is limited, offshore farms offer a solution, despite being restricted to shallow waters. Though wind energy can be seen as unreliable and costly, advancements in storage and decreasing costs make it increasingly viable. 🏞️ **Aesthetics**: While some find wind turbines unattractive, the environmental benefits far outweigh any visual impact. Even though we have debunked these myths, ANNEA is helping to ensure that fewer renewables are needed to cover energy needs thanks to greater efficiency. Ultimately, wind energy's advantages significantly surpass its potential drawbacks. 💬 What are your thoughts on how we can better address these misconceptions? #windenergy #greenfuture #sustainability #nature

Two years ago, Faber embraced our vision and embarked on this journey with us toward a greener future. Their unwavering support has truly transformed ANNEA, helping shape who we are today. We’re beyond excited to see them growing their resources to fuel the next wave of deep tech innovation!   A huge congratulations to the entire Faber team on this fantastic achievement!    Here’s to even bigger breakthroughs ahead! 🚀

The importance of #predictivemaintenance in the #greenenergy industry. 🌿

❓Artificial intelligence (AI) has become increasingly prominent, though its rise comes with concerns about misuse and ethical implications. Despite these challenges, AI holds significant transformative potential when applied responsibly, particularly in sectors like renewable energy. 🌿 ANNEA exemplifies this potential by utilizing AI to optimize the transition to renewable energy sources, ensuring smoother operations and reducing costs. Our AI-driven predictive maintenance for wind turbines can foresee problems up to 12 months in advance, minimizing downtime and extending the lifespan of critical assets. Additionally, ANNEA’s algorithms detect underperformance in turbines, enabling more efficient energy production. By identifying the causes of inefficiencies, AI helps maximize the output of clean energy from existing infrastructure. ANNEA’s mission is to facilitate a greener future through more efficient green energy assets, with AI playing a crucial role in their solutions. This showcases the positive impact of AI when used ethically and responsibly. Ultimately, AI, when harnessed properly, can be a powerful tool in addressing global challenges like climate change. #predictivemaintenance #AI #greenenergy

🌦️The use of AI in weather predictions ☁️ AI contributes to weather prediction by analysing vast amounts of data and improving forecasting models through machine learning techniques. However, predicting weather accurately remains challenging due to the complexity and chaotic nature of the atmosphere. While AI enhances forecast accuracy, particularly in the short term, long-term predictions still require caution due to inherent uncertainties in weather systems. At ANNEA we integrate insights on upcoming weather conditions into our predictive maintenance platform. The ANNEA algorithms can analyse weather forecasts alongside turbine operational data to predict potential stress factors such as high winds, air pressure or temperature fluctuations that could impact wind turbine performance. This information allows optimisation of maintenance schedules, enabling proactive maintenance to prevent issues before they occur and improving overall wind turbine reliability and efficiency. 💬 Contact us to learn more about ANNEA predictive maintenance algorithms. #AI #windenergy #predictivemaintenance #weatherpredictions