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Clean Fuels
Sustainable and resilient energy supply
Sustainable Industry 4.0
Sustainable energy in cities and communities
Noticias Recientes
Elastocaloric Technology Promises to Revolutionize Current Heating and Cooling Systems
December 3, 2024 In its report “The Top 10 Emerging Technologies of 2024”, the World Economic Forum (WEF) highlighted that elastocaloric technology is a rapidly advancing field, noting that “heat pumps using elastocaloric materials such as nickel and titanium are proving to be more energy-efficient than traditional heating and cooling systems.” The same report warns that as global temperatures rise, the demand for cooling…
Review of Supreme Decree 13: Thermoelectric Plants on Alert
November 28, 2024. Drawing a parallel with those considered undesirable, coal today is regarded as an “unwelcome” fuel due to the high pollution load generated by its combustion. This is why there is a state policy, with a defined roadmap, to eliminate its participation in the national electricity matrix before 2040. In fact, the decarbonization plan (whose ongoing update includes 45 measures) has already made…
Offshore wind energy: The future of renewable sources comes from the sea
November 21, 2024 “Tripling the annual renewable energy capacity over the next six years would be the biggest step the world could take to achieve our global climate goals,” stated Jennifer Layke, Global Energy Director of the World Resources Institute, at the end of COP28 in the United Arab Emirates in December 2023, highlighting the agreement signed by 117 countries. Although renewable energy (RE) is…
Proyectos CENTRA
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…
Instituciones Colaboradoras
