Ariel Agnello
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ariel Agnello has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Damian Marasco
Facultad Regional Neuquén, Universidad Tecnológica Nacional, Plaza Huincul 8318, Argentina
1 shared publication - Gustavo Monte
Facultad Regional Neuquén, Universidad Tecnológica Nacional, Plaza Huincul 8318, Argentina
1 shared publication - Matias Burgos
Facultad Regional Neuquén, Universidad Tecnológica Nacional, Plaza Huincul 8318, Argentina
1 shared publication - Nicolas Zúñiga
Facultad Regional Neuquén, Universidad Tecnológica Nacional, Plaza Huincul 8318, Argentina
1 shared publication - Norberto Scarone
Facultad Regional Neuquén, Universidad Tecnológica Nacional, Plaza Huincul 8318, Argentina
1 shared publication - Ricardo Thomas
Facultad Regional Neuquén, Universidad Tecnológica Nacional, Plaza Huincul 8318, Argentina
1 shared publication
Latest Publications
- Open Access
Low-Power Wind Turbine Emulator for Distributed Generation Applications
This work presents the development and validation of a modular low-power wind turbine emulator (WTE) specifically designed for academic research and distributed generation applications. The primary objective is to provide a flexible and cost-effective test bench capable of replicating the aerodynamic and mechanical performance of a bladed rotor without the need for wind tunnels or specific field conditions. The emulator integrates a 4.5 kW three-phase induction machine as the motor and a 1 kW permanent magnet synchronous generator (PMSG). The system is managed by an ARM Cortex M7 microcontroller, which gives instructions to a Siemens Sinamics Variable Frequency Drive (VFD) that is used for torque vector control, offering superior dynamic response to wind speed variations. The aerodynamic characteristics were previously derived using blade element momentum (BEM) theory and validated using MATLAB/Simulink simulations. Unlike traditional steady-state emulators, this study addresses dynamic behavior through an autonomous control algorithm that reduces mechanical stress and compensates for inertia differences. Experimental tests conducted in a grid-connected scenario using a commercial on-grid inverter showed high correlation between the emulator’s output and the field data of a real EOLOCAL AG1000 turbine. The results confirm the system’s reliability as a platform for evaluating power conversion systems and for future expansions, such as blade pitch control emulation.
Open AccessLow-Power Wind Turbine Emulator for Distributed Generation Applications
This work presents the development and validation of a modular low-power wind turbine emulator (WTE) specifically designed for academic research and distributed generation applications. The primary objective is to provide a flexible and cost-effective test bench capable of replicating the aerodynamic and mechanical performance of a bladed rotor without the need for wind tunnels or specific field conditions. The emulator integrates a 4.5 kW three-phase induction machine as the motor and a 1 kW permanent magnet synchronous generator (PMSG). The system is managed by an ARM Cortex M7 microcontroller, which gives instructions to a Siemens Sinamics Variable Frequency Drive (VFD) that is used for torque vector control, offering superior dynamic response to wind speed variations. The aerodynamic characteristics were previously derived using blade element momentum (BEM) theory and validated using MATLAB/Simulink simulations. Unlike traditional steady-state emulators, this study addresses dynamic behavior through an autonomous control algorithm that reduces mechanical stress and compensates for inertia differences. Experimental tests conducted in a grid-connected scenario using a commercial on-grid inverter showed high correlation between the emulator’s output and the field data of a real EOLOCAL AG1000 turbine. The results confirm the system’s reliability as a platform for evaluating power conversion systems and for future expansions, such as blade pitch control emulation.