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
Green hydrogen: industry leaders highlight Chile’s strategic role in the current geopolitical context
June 25, 2025 Chile’s key position in the tense global scenario was the central focus of the discussion forum “Geopolitics of Hydrogen: Risks and Opportunities in an Energy Transition Context,” where panelists addressed the potential impacts of the ongoing wars between Israel and Iran, and Ukraine and Russia. These conflicts are raising the prices of natural gas and oil, generating new urgencies regarding energy security,…
From Solstice to Action: Solar Energy to Decarbonize Chile
June 23, 2025 Every June 21st, while the Southern Hemisphere experiences its longest night, we celebrate Sun Day to remind ourselves that the planet’s greatest source of energy never takes a break—even in the heart of winter solstice. In Chile, that reminder comes backed by solid data: as of February 2025, the country’s installed solar power capacity reached 11 GW, accounting for 31% of the…
Applied research topics in energy with CENTRA
june 3, 2025 On Monday, June 3rd, a presentation session was held at the Peñalolén Campus to showcase the applied research lines of the Center for Energy Transition at Universidad Adolfo Ibáñez (CENTRA). The event was addressed exclusively to UAI undergraduate (TID), master’s, and PhD students interested in joining ongoing projects or developing new proposals. The session highlighted CENTRA’s core research areas: energy transition policies…
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…