Integration of predictive and prescriptive approaches in stochastic optimization

Configurable Testbed for Low Carbon Power System Dynamics with High Penetration of Power Electronics.

The project consists of a real-time simulator distributed in 4 different geographical locations, which will be coordinated through the internet. The reason for considering distant geographic locations is to model the remote communication of distant elements through conventional communication channels. This interaction seeks to test the feasibility that the distribution infrastructure can respond to control commands given from the electrical system operator for various purposes….

REMIND: Renewable Energies for Water Treatment and REuse in Mining Industries

The overall aim of REMIND is to develop an innovative framework of interplay between Renewable Energy Sources (RES) and innovative Water Treatment Technologies in the logic of a sustainable growth for mining industries. The novel paradigms explored are expected to drastically reduce the environmental impact due to extensive water and energy consumption, and to release of untreated wastewater during the production cycle of copper and…

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…

Solar Energy Research Center (SERC-Chile)

The overall aim of SERC Chile is to build a solid base of knowledge on solar energy. For this second stage (2017-2022), four strategic focuses were defined for the development of solar energy in Chile: 1) Massive integration of large-scale solar energy to the electric interconnected system, 2) Solar energy based mining in Chile, 3) Development and widespread adoption of small-scale solar solutions and 4)…

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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