Wish Bakshi’s Post

Valentine's Day Special Edition ❤️ Part 2🌬️💡 Maximizing Wind Power Efficiency with AI🚀 The surge in wind power installations has led us toward sustainable energy. But here's the real challenge: optimizing wind farm operations for peak performance and cost-effective wind energy. Wake effects within wind farms are notorious culprits for power losses, making them a crucial focus area for future innovations. Wake Effect in Wind Turbines 🌀✨ Wind that passes through turbines loses some of its vigor, leading to what we know as the wake effect. This phenomenon leaves behind slower, turbulent air streams, creating a unique challenge for downstream turbines. As this turbulent wake travels, it spreads out, gradually merging back with the natural airflow. And if this wake flows over another turbine, it casts a "shadow," impacting the efficiency of the next in line. 🌟🌀 The Dual Dilemma of Wake Effects: Speed Reductions and Turbulence Trials First, it slows the wind speed, directly impacting the farm's energy harvest. Less wind speed means less power generated, a straightforward equation for renewable energy enthusiasts to ponder. Second, the wake also stirs up the wind's turbulence. This increased turmoil places additional stress on the turbines lying in the wake's path, challenging their durability and efficiency. How ML can help? 🌡 ML models are rooted deeply in data-driven methodologies and stand in stark contrast to the theoretical underpinnings of physical models. Deep neural networks, such as CNN-LSTM, excel in sequential learning. This model masterfully captures the nuances of time series data, revealing nonlinear relationships with remarkable fidelity. Precision holds steady, even as turbines pause for maintenance, safeguarding the overall power output's consistency. For the technical nerds, we can expand on Direct Numerical Simulation (DNS), Large Eddy Simulation (LES), and Reynolds Average Navier-Stokes Simulation (RANS) models. But that is for another time! Thanks for reading. Part1: https://lnkd.in/gqt89Q3G #IoT #AI #WindEnergy #Datascience #machinelearning #renewableenergy #windturbine #grid #assetoptimization