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
CONFLICT BETWEEN INSTITUTIONS IN THE ELECTRICAL SECTOR
August 11, 2025 Mr. Director: I view with great concern the growing conflict between institutions in the electricity sector and the lack of leadership to adequately resolve it. This increases investment risk and hinders the safe and efficient operation of the system, increasing energy costs and affecting the speed of the transition to carbon neutrality. In 2017, the National Electricity Coordinator (CEN) was created. This…
ENERGY DECARBONIZATION AND RESILIENCE: THE CHALLENGES OF ELECTRICAL SYSTEM SECURITY
August 11,2025 Chile seems to be advancing with determination along the path of the energy transition, with the firm intention of transforming its electricity matrix into one that is 100% renewable. The generation figures to date confirm that this path is being followed. According to statistics from Generadoras de Chile, the evolution of renewable energies since 2013 has been constant, and their share in…
ISO 50001’S BOOST TO BUSINESS COMPETITIVENESS
August 8, 2025 Energy efficiency is a key goal for companies in a context of growing sustainability demands. In this sense, the ISO 50001 standard is setting a baseline for meeting national and international environmental standards, accessing new business, and strengthening investor and customer confidence—a key asset for companies seeking to grow smartly and sustainably. Rodrigo Barraza, director of the Center for Energy Transition (Centra)…
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…