Anirudh Parakkunnath
Research And Development Engineer @ Econowind
About
I’m a curiosity-driven R&D Engineer working on the development and validation of wind-assisted propulsion systems for ships at Econowind. With a background in Wind Energy Engineering from Technical University of Denmark (DTU), my experience spans experimental aerodynamics, aeroelasticity, dynamic load analysis, CFD, and performance assessment. I’ve worked on redesigning large-scale wind turbines, developing advanced numerical models, and addressing complex aerodynamic challenges across both component and system levels. In my current role, I focus on wind tunnel testing, aerodynamic measurements, and concept development, particularly related to suction-based wing technologies. I enjoy bridging theory, experiments, and engineering judgment to help mature novel concepts into robust, scalable solutions for real-world deployment. I thrive in environments where curiosity meets practicality, and where research directly supports technologies that reduce fuel consumption and emissions. Always keen to learn, collaborate, and contribute to projects that drive meaningful progress in sustainable engineering. Let’s connect.
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Denmark
Renewables & Environment
Meshing, Microsoft Word, Fluid Mechanics, Renewable Energy, Team Management, SOLIDWORKS, Object-Oriented Programming (OOP), Mechanical Engineering, Computer-Aided Design (CAD), Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), Microsoft Excel, Microsoft PowerPoint, Microsoft Office, Python (Programming Language), MATLAB, English, Tamil, Business Negotiation, AutoCAD
Experience
Education

Wind Energy
Coursework includes: -Wind Resource Assessment -Turbulence modelling of wind simulations -Aerodynamic control of wind turbine -Offshore Wind energy (Structural analysis of offshore wind towers) -Digital Wind farm planning and optimisation -Wind turbine aerodynamics and electrical systems Master's Thesis: Critical parameter analysis for improved wind turbine ice accumulation predictions using CFD and field measurements (Achieved a grade of 10 on the Danish grading scale) The study covers key areas such as: Developed and validated CFD-based ice accretion models using the WISE solver in OpenFOAM, optimising key parameters like mesh resolution, domain size, and droplet size. Integrated field data from Canadian wind farms to improve the prediction accuracy of icing effects on turbine components under cold climate conditions. Demonstrated strong numerical modelling and analysis skills through multi-physics simulations (aerodynamics, droplet trajectory, thermodynamics, and ice growth).
Anirudh Parakkunnath's Contact Information
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