Integration of predictive and prescriptive approaches in stochastic optimization

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…

Repair and recertification of silicon photovoltaic panels using additive manufacturing

This project consists of evaluating the health status of photovoltaic panels installed in Chilean territory and contributing to the management of waste from defective panels. This involves the identification of operating cells in waste panels, their disconnection and subsequent reconnection in repaired panels, for subsequent recertification, by printing organic inks with conductive properties based on metallic nanoparticles.

(56 2) 2331 1000

Diagonal las Torres 2640, Peñalolén.
Av. Presidente Errázuriz 3485, Las Condes
Av. Santa María 5870, Vitacura.
VIÑA DEL MAR - (56 32) 250 3500
Padre Hurtado 750, Viña del Mar.
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