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.
Noticias Recientes
Technologies for Renewable Energy: Innovation in the Chilean Electricity System
November 17, 2025 Disruptive developments are redefining the operation of the National Electric System, driving an energy transition that can offer clean energy, security, and a reliable supply to consumers. The energy transition in Chile is progressing sustainably, hand in hand with the increasing integration of renewable energies into the National Electric System (SEN), especially solar and wind. However, the challenge is no longer how…
Rebuilding trust in the energy transition: the key role of consumers
November 17, 2025 The good news is that Chile is moving toward a clean energy system faster than many expected. The bad news is that energy consumers are starting to get fed up just as the road ahead gets tougher. There is growing concern about rising electricity costs, which directly affect all end users: household well-being and the competitiveness of industries. However, the main problem…
EDF Power Solutions and Centra UAI discuss the future of energy storage in Chile
November 17, 2025 A seminar brought together industry experts to analyze the prospects for this technology in the coming years. Analyzing the future of energy storage as a key enabler for a secure energy transition was the objective of the seminar “The Storage Boom: Challenges and Opportunities,” organized by EDF Power Solutions and the Center for Energy Transition (Centra) of the Faculty of Engineering and…
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…