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
Smart City Special
Experts agree that 5G has a great impact on Smart cities, revolutionizing their design and management. This trend offers a wide variety of capabilities, such as ultra-high bandwidth, low latency and speed in data transmission that contribute to cities with these types of characteristics. “5G allows data transmission speeds of up to one hundred times more than 4G in mobile phones, and a latency of…
“It is up to us to take advantage of the opportunities of the energy transition”
The reference of the Center for Energy Transition (Chile), Carlos Silva, opened the streaming, “Vaca Muerta, nexus for Energy Integration” organized by Better Energy. He considered that gas and renewable energy are two priority sources of supply that would complement demand and supply on both sides of the Andes Mountains. “We have systems that have developed quite differently. For example, it is enough to see…
Distributed Generation in Chile for global decarbonization
From the point of view of self-consumption, there is also evidence that the development of electricity supply systems with a high integration of generation and distributed storage can facilitate the electrification of transport and heating, which is crucial to achieve global decarbonization goals. It is difficult to conceive of a perspective from which a distributed energy supply system does not exceed the technical performance of…
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…
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