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
The boom in energy storage projects in the area
March 17, 2025 Chile is experiencing remarkable growth in energy storage projects, mainly through BESS (lithium-ion battery) systems, both in operation and at various stages of development. As of the end of January 2025, according to data from the Ministry of Energy, the total net installed capacity reached 886 MW/3,318 MWh, distributed across 21 projects, mainly concentrated in the Antofagasta Region. These projects include…
New Cycle of Transdisciplinary Dialogues on Sustainability – UAI
March 17, 2025 💡 Climate change demands a sustainable transformation of energy systems. In this talk, we will discuss the role of green hydrogen, the social acceptance of new infrastructure, and the geopolitical impacts and constraints of the transition, using examples from Canada and around the world. 📩 Registration form for in-person attendance: https://forms.monday.com/forms/2612838c5e62670276a5ebeb3b2ae87f?r=use1
Electrical system reliability: expert analysis of the February 25th blackout was discussed at the UAI 2025 panel discussion.
March 17, 2025 The discussion panel organized by the Faculty of Engineering and Sciences at UAI, in collaboration with the Faculty of Law, focused on a detailed analysis of the reliability and resilience of the national electrical system, using the February 25 blackout as a starting point. During the event, various experts conducted an in-depth examination of the causes of the failure and the challenges…
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
