The interviews were made with ARIA’s use cases, beneficaries, secondees and associated partners of the project. Our members have shared their insight on the benefits of inter-sectoral exchange in order to narrow the gap between basic research carried out in academia and industrial needs. These benefits were achieved via the…
University of Trieste has collaborated with Valorem via secondments in order to achieve in relation to noise pollution associated with wind turbines.
The aim of the secondment was to define test case for a reduce order model for wind turbine-induced wakes
Maria Strazzullo, a secondee of ARIA Project, has been awarded the prestigious €15,000 ECCOMAS Young Investigators Committee (EYIC) Grant for her project CRAFT (Control and Reg-reduction in Applications for Flow Turbulence). This award will guide her innovative ideas in the field of fluid dynamics related to the mathematical fundations and…
By José-Antonio Rodríguez-Gallego, University of Seville As part of the research made under the ARIA (Accurate Roms for Industrial Applications) project there is a primary need for reliable data in order to validate the different Reduced Order Models (ROMs) within the project. However, the results with the available data can…
Valorem had a secondment to University of Seville with the purpose the development of wind farm test case: construction of ROM transfer function. It also includes the construction of dataset based on anemometer nacelle transfer function.
Introduction The ARIA Final Workshop will be an open international conference on Reduced Order Models (ROMs), aimed for the dissemination of the network results. The workshop will follow a high standard in the selection of presentations and papers by a programme committee of international experts of the domain. Organizers The…
Introduction This school aims to introduce hybrid numerical modeling methodologies that combine partial differential equation models with high-fidelity data. These methodologies focus on achieving explainability, accuracy, and robustness while maintaining speed and efficiency for performance prediction, parametric optimization, control, and data assimilation in complex industrial systems.
Introduction This seminar of the ARIA project consists of three talks that describe three test suites; talks will be followed by a panel discussion. The seminar will be organized in the afternoon of Thursday 23 May 2024.
The purpose of this secondment was the study of the lift and drag coefficients for the flow around an obstacle. The main idea is to perform an Artificial Neural Network that let us to provide a prediction of the Lift and Drags coefficients, depending on the geometry.