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.
Recent News
Opinion Column – Daniel Olivares, director of the Energy Transition Center (CENTRA)
A GREATER DISTORTION MR. DIRECTOR: In relation to the controversy in the electricity sector regarding the bill that extends the electricity subsidy, I would like to point out the following: In Chile, Small Distributed Generation Companies (PMGD) can benefit from a special remuneration regime that seeks to stabilize their income in the energy market, considering that, due to their size, they do not compete on…
Enel to pay more than $8 billion for power outages in 2021 | Economic Agenda
The Fourth Civil Court of Santiago ruled that Enel must pay more than $8 billion to customers affected by a series of unjustified power outages that occurred between January 29 and February 2, 2021.
Distributed Generation: Among the pillars of the National Electric System
This segment is becoming more important for the country’s energy matrix every year, as it is approaching 3.3 GW of installed power generation, which corresponds to 10% of the SEN’s capacity, according to the latest figures from the Superintendency of Electricity and Fuels (SEC). When we talk about distributed generation, we must differentiate between the netbilling type, with installations of up to 300 kW and…
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…