Artificial Intelligence Applied to Decarbonization and Energy Efficiency..
Lead Researcher:Prof. Fernanda Leite Lobo
Research Units:Laboratório de Hidrogênio e Máquinas Térmicas
Instituto de Arquitetura, Urbanismo e Design
Main Objectives:
To integrate and structure experimental databases from different energy systems related to hydrogen production and utilization, including bioelectrochemical processes, combustion systems, and technologies associated with energy conversion.
To apply artificial intelligence and machine learning techniques to model and analyze the performance of processes related to hydrogen production and its utilization in energy systems.
To investigate operational optimization strategies capable of increasing energy efficiency and reducing emissions in applications related to the decarbonization of transportation and industrial processes.
To assess the potential integration of hydrogen production technologies with effluent treatment systems, exploring approaches based on energy recovery and the circular economy.
To analyze the influence of materials and operating parameters on the performance of hydrogen-related energy systems using modeling and data analysis tools.
To train qualified human resources in the fields of renewable energy, green hydrogen, and artificial intelligence applied to energy systems.
