The Center for Energy Transition (CENTRA) at the Faculty of Engineering and Sciences of Universidad Adolfo Ibáñez conducts and transfers interdisciplinary research that enables society to advance in an energy transition toward economical, environmentally friendly, socially acceptable, and secure energy supply and usage systems.
Clean Fuels
Sustainable and resilient energy supply
Sustainable Industry 4.0
Sustainable energy in cities and communities
Noticias Recientes
The impact of the ‘trade war’ on the development of the local lithium industry
April 29, 2025 As the United States considers imposing new tariffs on the import of critical minerals, experts agree that Chilean mining should continue to bet on lithium, with long-term investments and a focus on Asian markets. The so-called “trade war,” sparked by the United States’ decision to impose import restrictions and, more recently, by the possibility of setting new tariffs on critical minerals,…
UAI and Academic CENTRA present their 24th patent: an innovation that gives new life to defective solar panels
As part of the World Creativity and Innovation Week, Universidad Adolfo Ibáñez (UAI) announced the presentation of its 24th patent, a milestone that reinforces its commitment to the development of high-impact sustainable technologies. The patent application, whose principal inventor is Professor Felipe Larraín Benavides from the School of Engineering and Sciences, corresponds to a method and automated system for the recovery of defective solar panels….
Energy Resilience: A fundamental pillar to guarantee a reliable and continuous electricity supply.
April 28, 2025 Achieving this level of resilience requires strategic investments aimed at providing the system with greater flexibility, both in the temporal domain —the ability to adapt to fluctuations in demand or generation— and geographically, through the diversification and redundancy of its infrastructure. The latest studies on electrical resilience agree on an approach based on three fundamental pillars: risk anticipation, the ability to respond…
Proyectos CENTRA
Integration of predictive and prescriptive approaches in stochastic optimization
The use of data science tools for decision making in organizations has grown significantly in recent years. The usual practice is to first use the data to create a forecast model for uncertain elements, such as demand, and then use this model as input in an optimization scheme that chooses the best course of action from a set of alternatives. The objective of this project…
Adapting to the uncertainties and risks of climate change: Advanced methods and models for energy systems and markets
The aim of the project is to develop new mathematical models and computational methods that help the private and public sector to adapt energy systems and markets to high uncertainties and risks derived from climate change. To achieve this goal, the research addresses three research objectives: (1) Model and classify the different types of uncertainties and risks associated with climate change; (2) Develop energy planning…
GEMA: Improving energy management in micro grids with storage via stochastic optimization and machine learning
The overall aim of this project is to improve and implement an optimal energy management system for generation systems based on photovoltaic panels and with storage units. These systems can be both on-grid (connected to the network) and off-grid (isolated systems, generally in remote locations), and connected to a small number of users, such as a home or a small business. Specifically, the management system…
Instituciones Colaboradoras
