Compass Ingeniería y Sistemas SA

Allí estaremos 💯🙂

We are proud to announce that Dr.Eugenio Oñate, President of COMPASS Ingeniería y Sistemas, Emeritus Professor at Universitat Politècnica de Catalunya (UPC), and Distinguished Researcher at the International Center for Numerical Methods in Engineering (CIMNE), has been awarded the 2024 National Research Award in the Leonardo Torres Quevedo category. This prestigious honor, granted by Spain's Ministry of Science, Innovation, and Universities, recognizes Dr. Oñate's outstanding contributions to Computational Mechanics. His pioneering work has significantly advanced computational methods in engineering, making a lasting impact in the field. Congratulations, Eugenio! This well-deserved award celebrates your immense dedication and contributions to science and engineering. #NationalResearchAwards #Innovation #Science #Engineering #ComputationalMechanics #CIMNE #COMPASS #ScientificExcellence

🌊 Thrilled to have participated in the "Technologies of the Blue Economy in Catalonia" event! 🌊 A big thank you to the organizers for inviting Compass to this insightful event. It was a fantastic opportunity to explore how Catalan companies can leverage cutting-edge technologies to drive sustainable growth in the global blue economy. The renewable energies sector offers immense opportunities for Catalan companies to expand their expertise internationally, applying sustainable solutions to global challenges. We're excited about the potential to work beyond our borders, helping shape a more sustainable future for our oceans. Thanks again for the invitation, and we look forward to fostering new collaborations in this vital sector! #BlueEconomy #GlobalExpansion #Sustainability #MarineTechnologies #Catalonia #Innovation #OceanHealth #InternationalBusiness #FutureOfOceans

🎉 EBLADER NEWS: The Future of Wind Turbine Blade Design & Maintenance 🌬️⚙️ We're thrilled to share that our team has published a new peer-reviewed paper on Journal of Hydrodynamics (https://bit.ly/3ZoNOhC), which provides the mathematical foundation for EBLADER (https://lnkd.in/dEngbN_m), our cutting-edge software solution for the design and maintenance of wind turbine blades. EBLADER, powered by Machine Learning, offers a comprehensive tool for predicting rain erosion, estimating the remaining lifetime, and identifying efficiency losses in wind turbines, all in minutes. 🔍 Why Choose EBLADER? Fast & Accurate Predictions: Using validated models like Springer for rain erosion and innovative methods such as Pseudo-Direct Numerical Simulation (P-DNS), EBLADER provides reliable predictions for blade damage and lifespan. Technological Edge: By integrating advanced technologies like XGBoost, CFD simulations, and Aeroelastic simulations, EBLADER ensures high-performance assessments that support critical decision-making during blade design, operation, and maintenance. User-Centered Design: EBLADER features an intuitive, customizable interface that allows for easy decision-making throughout the turbine's life cycle. 🎯 What Can EBLADER Do? From an operational perspective, EBLADER predicts: Remaining lifetime of the blades Quantifies erosion damage and efficiency losses based on real-world weather conditions With this tool, turbine operators, engineers, and manufacturers can ensure their turbines operate longer and more efficiently, saving time and resources on unnecessary maintenance. Interested in how EBLADER can optimize your wind turbine operations? Contact us today to learn more or schedule a demo! 📩

📢 📰 Fast Prediction of Rain Erosion in Wind Turbine Blades CIMNE researchers Dr. Juan Marcelo Gimenez, Dr. Sergio Idelsohn, and Dr. Eugenio Oñate are behind this recent article featured in the Special Column on the 7th Symposium on Computational Marine Hydrodynamics. 🔗 https://lnkd.in/dD43nAPE 💡 WHAT IS IT ABOUT? The research introduces an innovative computational tool designed for fast and accurate prediction of rain erosion damage on wind turbine blades. This cutting-edge technology integrates Pseudo-Direct Numerical Simulations (P-DNS) with machine learning (ML) models, providing wind turbine operators with valuable insights for improved maintenance and operational efficiency. The tool predicts the remaining lifetime and quantifies erosion damage based on site-specific weather conditions. ✨ WHY IT MATTERS Wind turbines are crucial to the green energy transition, but environmental factors such as rain erosion significantly reduce their operational lifespan, particularly in offshore and high-rainfall areas. By developing this rapid prediction tool, CIMNE researchers are contributing to: ✔️ Extending turbine lifespan: Accurate prediction of erosion damage allows for timely maintenance and optimization of blade design and materials. ✔️ Improving operational efficiency: Wind farm operators can better schedule maintenance, reducing downtime and minimizing costly repairs. ✔️ Advancing sustainability: Extending the durability of wind turbines aligns with global goals to increase the efficiency and reliability of renewable energy sources. 🌍 We are committed to driving advancements in computational mechanics for renewable energy solutions. #CIMNE #Research #RenewableEnergy #WindTurbines #Sustainability #RainErosion #ComputationalMechanics #MachineLearning

Another great achievement of a Marine Engineering student from UPC School (Universitat Politècnica de Catalunya) using Compass Ingeniería y Sistemas SA software Tdyn https://lnkd.in/ddBD2sKG

🌾 Revolutionize Agricultural Machinery Design with SpreadDEM! 🚜 Discover the Future of Particle Flow Analysis - SpreadDEM is your go-to software for optimizing centrifugal fertilizer spreaders. 🌐🛠️ 🔍 What is SpreadDEM? The outstanding combination of its friendly design and advanced calculation technologies allows you to easily analyze how a material (solid fertilizer, granulometries, particle shape) would behave under real conditions of application scenarios, analyze performance of designs and component configurations, generating significant economic savings related to the construction and validation of prototypes. 💡 Why SpreadDEM? SpreadDEM is an essential tool for manufacturers of agricultural machinery and design and engineering equipment that prioritize the innovation of their products by incorporating modern Industry 4.0 technological solutions. 🚀 Technological Edge: Based on Discrete Element Method (DEM), SpreadDEM tracks every fertilizer particle's trajectory, from hopper to ground, ensuring accurate analysis. 📊 Key Results: 🔄 Simulation Animation 🌐 Static Spread Pattern 🚶 Moving Transverse Distribution Pattern 📉 Coefficient of Variation 🏆 Award-Winning Innovation: SpreadDEM has been honored at the 40th International Fair of Agricultural Machinery (FIMA). Ready to revolutionize your machinery design? 💡 Explore SpreadDEM now: [https://bit.ly/47OGFrV] #Smartagriculture #SpreadDEM #ParticleFlowAnalysis #AgriculturalMachinery #Innovation #FIMA40thAward

✨ We are proud to announce the culmination of the European project FIBRE4YARDS project! 🎉 After 3 years of collaborative development, we are excited to share the incredible results achieved by this innovative initiative. The FIBRE4YARDS project, dedicated to the use of fiber-reinforced polymers (FRP) in shipbuilding through Industry 4.0 concepts, has brought together 13 partners from 6 European countries. By focusing on optimizing production costs and introducing groundbreaking digital technologies, FIBRE4YARDS project marks a significant breakthrough for the European naval sector. This project exemplifies the power of collaboration and innovation in driving the future of shipbuilding. Check out the video to see our journey and the milestones we've reached! 🎥👇 #FIBER4YARDS #Shipbuilding #Innovation #Industry4.0 #Collaboration #EuropeanProjects #NavalTechnology

As always, spreading FEM around the Naval Architecture world! :)

Gracias BlueNewables por invitarnos a un evento de tanta relevancia y contenido en relación al futuro próximo de las renovables en España💯 Youwind Renewables FILS IREC - Institut de Recerca en Energia de Catalunya