This inventor holds 1 USPTO granted patent. Top assignee: Ge Vernova Renovables Espana, S.l.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Fernando Javier D′Amato
Introduction
Fernando Javier D′Amato is an accomplished inventor based in Avon, Connecticut. He has made significant contributions to the field of renewable energy, particularly in the area of wind turbine technology. His innovative approach to predictive control systems has the potential to enhance the efficiency and reliability of wind energy generation.
Latest Patents
D′Amato holds a patent for a "Method and system for predictive control of a wind turbine." This invention involves a sophisticated method for controlling a wind turbine equipped with multiple actuators. The process includes receiving operational data from the wind turbine and determining its operational state. By utilizing a control model, the system predicts potential operational states based on actuator operations over a specified time frame. The control model incorporates an aeroelastic model to assess loads derived from the operational data, along with a strength calculation module to evaluate secondary load parameters. The method optimizes a cost function over a designated optimization period, subject to defined constraints, to establish an optimum trajectory for actuator commands. Ultimately, the first commands from this trajectory are employed to control the actuators effectively.
Career Highlights
D′Amato is currently associated with Ge Vernova Renovables España, S.L., where he continues to develop innovative solutions in renewable energy. His work focuses on enhancing the performance and sustainability of wind energy systems.
Collaborations
Throughout his career, D′Amato has collaborated with notable professionals in the field, including Kalpesh Singal and Su Liu. These partnerships have contributed to the advancement of technology in renewable energy.
Conclusion
Fernando Javier D′Amato's contributions to wind turbine technology exemplify the importance of innovation in renewable energy. His patent for predictive control systems showcases his commitment to improving the efficiency of wind energy generation.