Potential of wind energy generation through thermal wind
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The study looks at the feasibility of placing wind turbines in dams and, if this is possible, analysing the potential wind energy that could be generated to support the production of renewable energies. The possibility of reusing existing reservoir infrastructure will be studied to take advantage of the thermal winds that form in these areas and install small-scale wind parks.
In the project, the potential of real installations will be evaluated, and turbines have been selected that ensure optimal performance.
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- The production of biogas through anaerobic digestion has been increasing exponentially in Europe in recent years. This is because it can be produced locally and has a clear positive effect on waste recycling, the generation of clean energy, sustainable development or climate action. In this context, the FertiLab project was launched, with the participation of researchers from the Department of Agri Food Engineering and Biotechnology (DEAB) of the UPC.
- The flexibility of electrical systems is fundamental in the process of energy transition towards more sustainable energy generation models. The European Commission promotes the development of solutions that respond to the challenges of managing electricity distribution networks in the future energy system based on renewable sources. An increasingly large proportion of fluctuating electricity generators, such as wind and solar systems, makes it difficult to calculate the loads that are being supplied.
- The Centre for Technological Innovation in Static Converters and Drives (CITCEA) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) is participating in the COVHE project, whose aim is to develop an electrical drive system for heavy vehicles based on a hydrogen cell.
- The aim of the GENIUS project, in which the Centre for Technological Innovation in Static Converters and Drives (CITCEA) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) participates, is to develop a charge estimator for lithium-ion batteries based on a dynamic model parameterised by a neural network.
