Urban wind energy data are generated using hundreds of detailed and accurate Computational Fluid Dynamics simulations of wind flow in cities, based on meteorological data from the last 30 years, enhanced using machine learning techniques and analysed using automatic optimization algorithms.
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Explore the Annual Wind Energy Production (AWEP) on rooftops in one of the following cities!
Brussels, Belgium
Horn, Austria
Eggenburg, Austria
Available soon! Work in progress…
Fundão, Portugal
Available soon! Work in progress…
Latest News
Our recent interview with BBC News Arabic on urban wind energy is available online!
Publications
[1]. Raghunathan Srikumar, S., Cotteleer, L., Mosca, G., Gambale, A., Parente, A., Application of a comprehensive atmospheric boundary layer model to a realistic urban-scale wind simulation. Building and Environment. 2024, February 22: 111330.
[2]. Gambale, A., Raghunathan Srikumar, S., Mosca, G., Tsionas, I., Llaguno-Munitxa, M., Stephan, A., A data-driven surrogate model framework based on CFD simulations to accelerate wind energy yield assessment. ICWE 16, Florence, Italy. 2023, August 27-31.
[3]. Srikumar, S.K.R., Mosca, G., Tsionas, I., Llaguno-Munitxa, M., Stephan, A. and Gambale, A., A Computational Fluid Dynamics based framework to assess the wind energy potential of an urban landscape: A case study in Brussels. No. EGU23-15617. Copernicus Meetings. 2023, April 23-28.
[4]. Bellegoni, M., Cotteleer, L., Srikumar, S.K.R., Mosca, G., Gambale, A., Tognotti, L., Galletti, C. and Parente, A., An extended SST k− ω framework for the RANS simulation of the neutral Atmospheric Boundary Layer. Environmental Modelling & Software, 160, p.105583. 2023, February.
