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
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…
Digital Skills: The Training Debt of the Chilean Mining Industry
May 30, 2025 Traditional technical training required in the mining industry is falling behind due to rapid technological advances and the need to adapt and respond to a variety of challenges. The Chilean Large-Scale Mining Workforce Study 2023–2032, developed by the CCM-Eleva Alliance, included a survey targeting human resources professionals to identify the main difficulties in operator and maintenance technician profiles. In both profiles, one…
Talent Shortage in Renewable Energy: An Invisible Obstacle for Chile’s Projects
May 30, 2025 The local development of solar, wind, storage, and green hydrogen energy currently faces a major hurdle: there are few specialized professionals in these areas, and the educational offering is still incipient. The rising demand for renewable energy development and the adoption of new technologies in Chile has revealed a shortage of professionals specialized in this field. This reality “is mainly affecting emerging…
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
