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
Blackouts: How mathematical models allow for the design of more reliable networks
A project led by researchers from the Faculty of Engineering and Sciences at Adolfo Ibáñez University proposes abandoning the assumption of isolated failures to redesign electrical grids, assuming that lifestyle and climate changes anticipate a greater frequency of outages in our country. On February 25, 2025, much of Chile was left without electricity. At 3:16 p.m., a fault in the transmission line between Vallenar and…
The “failure” of COP30: there is a homeland out there.
November 26, 2025 By Claudio Seebach The recent COP30 in Belém, Brazil, was probably among the climate conferences with the least progress in history, marked by a prior report confirming the impossibility of limiting the increase in global temperature to below 1.5°C above pre-industrial levels, an ambivalence and lack of leadership from the host country, strong pressure from oil-producing nations, and the complete absence of…
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…
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
