Advanced Wind Energy Technology Research Group

Next-Gen Wind Energy Technologies – Smart Aerodynamics, Digital Twins & Sustainable Innovation

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Our Mission & Expertise

Our multidisciplinary team is dedicated to advancing the future of wind energy through cutting-edge research and innovation. We integrate expertise in aerodynamics, advanced manufacturing, predictive maintenance, and control systems to design next-generation wind turbine technologies.

Technology & Impact

By leveraging digital twin technology and market analysis, we deliver solutions that enhance performance, reduce costs, and accelerate sustainable wind energy adoption. Our work bridges academic research with real-world impact, supporting Australia's renewable goals and the global transition to cleaner power.

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key objectives

Driving Wind Energy Innovation Through Technology.

Aerodynamics analysis Key technology for optimizing wind turbine performance
Advanced manufacturing Innovative processes driving wind power industry advancement
Predictive maintenance AI-powered operation and maintenance solution
Next-generation control systems Intelligent control systems boosting power generation efficiency
Digital twin technology Digital wind power technology with virtual-physical mapping
Conducting comprehensive market analysis Strategic tool for understanding wind energy trends

Meet our Researchers

Advanced Manufacturing and Numerical Damage Analysis of the Driving Rotor in Vertical-Axis Wind Turbines

Lead and oversee all research projects within the group, ensuring scientific rigor and innovation.

Amir Zanj

Principal Investigator

Aerodynamics of Wind Turbines, Flow Control, CFD

Abolfazl Abdolahifar

Wind-Integrated Hybrid Energy Systems,PEM Fuel Cells

Bahar Amani

Digital Twin, AI, Control System Digital Twin, AI, Control System

Hadi Zare

Surface Engineering, Tribology, Corrosion & Oxidation

Mahdi Jalilvand

Advanced Manufacturing, CAD/CAM, Continuum Damage Mechanics

Mohsen Feyzi

5 Areas
6 researchers
8 Projects
10 Partners

Our projects

Next-Gen Wind Energy Technologies-Smart Aerodynamics, Digital Twins & Sustainable Innovation

Exergy-Based Design and Analysis of Decentralized VAWT-Integrated Hybrid Energy Systems

Conducting an exergoeconomic study on the feasibility of employing small-scale VAWTs in hybrid energy systems for off-grid applications in Australia.

Aerodynamic Investigation of Darrieus Vertical-Axis Wind Turbines at Startup

Exploring the aerodynamics of Darrieus wind turbines using computational fluid dynamics (CFD) to enhance their efficiency by first gaining a deeper understanding of the complex unsteady flow behavior and then devising advanced flow control techniques.

Developing strategies for wind turbine control to enhance the energy efficiency

This research project focuses on designing and implementing advanced control strategies for wind turbines to improve energy efficiency. A key emphasis is placed on the integration of Artificial Intelligence (AI) and Digital Twin technologies to enable intelligent, adaptive control in real-time.

Enhancing the Service Life of Wind Turbine Bearings

This project aims to extend the service life of the wind turbine bearings, with a particular focus on the main bearings of vertical-axis wind turbines, through advancements in bearing materials.

Advanced Manufacturing and Numerical Damage Analysis of the Driving Rotor in Vertical-Axis Wind Turbines

"This project aims to develop a leightweight yet durable blade design for vertical-axis wind turbines via numerical damage analysis, with detailed consideration of real-world boundary conditions and loading scenarios.

Recent Activities

Next-Gen Wind Energy Technologies-Smart Aerodynamics, Digital Twins & Sustainable Innovation

Exergy-Based Design and Analysis of Decentralized VAWT-Integrated Hybrid Energy Systems

Conducting an exergoeconomic study on the feasibility of employing small-scale VAWTs in hybrid energy systems for off-grid applications in Australia.

Aerodynamic Investigation of Darrieus Vertical-Axis Wind Turbines at Startup

Exploring the aerodynamics of Darrieus wind turbines using computational fluid dynamics (CFD) to enhance their efficiency by first gaining a deeper understanding of the complex unsteady flow behavior and then devising advanced flow control techniques.

Developing strategies for wind turbine control to enhance the energy efficiency

This research project focuses on designing and implementing advanced control strategies for wind turbines to improve energy efficiency. A key emphasis is placed on the integration of Artificial Intelligence (AI) and Digital Twin technologies to enable intelligent, adaptive control in real-time.

Enhancing the Service Life of Wind Turbine Bearings

This project aims to extend the service life of the wind turbine bearings, with a particular focus on the main bearings of vertical-axis wind turbines, through advancements in bearing materials.

Advanced Manufacturing and Numerical Damage Analysis of the Driving Rotor in Vertical-Axis Wind Turbines

"This project aims to develop a leightweight yet durable blade design for vertical-axis wind turbines via numerical damage analysis, with detailed consideration of real-world boundary conditions and loading scenarios.

Talk To Us

Open for Research Partnerships & Academic Exchange

Keep in touch

Address: Tonsley Innovation District, 4 MAB Eastern Prom, Tonsley SA 5042

Contact Email: [email protected]