Grid integration, analytical assessment, and optimization of the KETTI-developed wind turbine.

The proposed project aims to establish a technical and scientific foundation for integrating KETTI’s innovative wind turbines into the Microgrid Research and Testing Facility at the University of Regina (UofR). The research involves three complementary subprojects:
1. Feasibility and Engineering Requirements Study — defining the integration framework, electrical and mechanical interfacing, and environmental conditions necessary for effective deployment of KETTI turbines within the University of Regina’s microgrid testbed.
2. CFD Modeling and Experimental Validation — investigating the aerodynamic interactions between two small-scale turbines operating in tandem, with a focus on verifying the claimed downstream performance enhancement.
3. Generative AI–Based Turbine Design Optimization — leveraging artificial intelligence to improve KETTI turbine geometries for turbulent flow conditions and enhanced stress-fatigue resistance.
This multi-intern project combines computational modeling, experimental validation, and advanced AI-driven optimization to accelerate the readiness of KETTI’s technology for scalable, distributed renewable energy applications.

Faculty Supervisor:

Mehran Mehrandezh;Irfan Al-Anbagi;Irfan Al-Anbagi;Mehran Mehrandezh

Student:

Partner:

Kootenay Kinetic Energy Turbine Inc,

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Regina

Program: