The Center for Energy Transition conducts and transfers interdisciplinary research that allows society to advance an energy transition towards economical, environmentally friendly, socially acceptable and reliable energy demand and supply.
Clean Fuels
Sustainable and resilient energy supply
Sustainable Industry 4.0
Sustainable energy in cities and communities
Recent News
Networks at the limit threaten expansion of data centers and electromobility
November 11, 2024 Modifying the current regulatory model, extending digitalization, investing in infrastructure and technology are some of the actions that should be implemented to meet demand. The sector’s always forgotten players are now protagonists. With a regulatory framework from the 1980s, which many consider obsolete, the electrical distribution networks jumped onto the public agenda following the ravages caused by the August storms that exposed…
Free course – Advances in Accommodation Capacity
November 11th, 2024 CENTRA UAI joins course on advances in hosting capacity of electrical networks The Center for Energy Transition (CENTRA) of Adolfo Ibáñez University collaborates in a training course on “Advances in Hosting Capacity”, organized by the Power and Energy Systems Group and the Melbourne Energy Institute of the University of Melbourne, together with the State University of Campinas (Brazil), Energy Research and…
Smart Transition
November 7, 2024 Artificial intelligence is making a relevant contribution to the energy transition in Chile, especially in the renewable sector. We detail examples that demonstrate this. Artificial intelligence (AI) amazes and astonishes, but it also generates fear and disbelief. In simple terms, Claudio Gutiérrez, an academic at the University of Chile and researcher at the Millennium Institute for Data Fundamentals, defines it as “the…
CENTRA Projects
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…
Collaborating Institutions
