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
ON THE ROAD TO ELECTROMOBILITY: Sales of electric vehicles to break records in 2024
January 30, 2025 LAST YEAR ENDED WITH NEARLY 20,000 NEW REGISTERED UNITS, DOUBLING ALL CATEGORIES COMPARED TO 2023 With historic figures, 2024 closed in terms of sales of new energy vehicles (formerly referred to as zero and low-emission vehicles), totaling 19,101 registered units, representing a 104.6% increase compared to 2023. “2024 was the best year in Chile for each category of zero or low-emission…
New Director Assumes Leadership of the UAI Center for Energy Transition
January 28, 2025 Rodrigo Barraza, Ph.D. in Mechanical Engineering, Appointed Director of the Energy Transition Center (CENTRA) at Adolfo Ibáñez University Rodrigo Barraza, Ph.D. in Mechanical Engineering, has been appointed as the Director of the Energy Transition Center (CENTRA) at the Faculty of Engineering and Sciences of Adolfo Ibáñez University. CENTRA conducts and transfers interdisciplinary research, enabling society to progress toward an energy transition…
Chile’s steps in its commitment to reducing CO2 emissions
January 28, 2025 Every January 28th, the World Day for the Reduction of CO₂ Emissions is commemorated, an initiative of the United Nations that seeks to raise awareness about the effects and consequences of global warming. “This commemoration invites us to reflect on both the progress made and the challenges that remain in achieving the goals established in each area,” says Pamela Méndez, lead…
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…