Expert-based reduced-order modelling of urban air flow and pollutant dispersion via wind-rose-informed clustering
Results in Engineering, 111792 · doi.org/10.1016/j.rineng.2026.111792
La scienza dietro CLARA
Il motore di simulazione di CLARA si basa su anni di ricerca del nostro team e dei suoi partner accademici, pubblicata su riviste con revisione paritaria e presentata a conferenze internazionali. Questa pagina raccoglie quei contributi, insieme al rapporto di validazione che verifica le previsioni di CLARA rispetto a misure sul campo e soluzioni di riferimento.
Articoli su rivista
Quantifying parametric uncertainty in turbulence model for the numerical simulation of atmospheric boundary layer flows using dimensionality reduction and Bayesian regression
Journal of Wind Engineering and Industrial Aerodynamics, 272, 106397 · doi.org/10.1016/j.jweia.2026.106397
A clustering-based domain decomposition framework for reduced-order modeling: application in predicting atmospheric boundary layer flows
Physics of Fluids, 37, 095186 · doi.org/10.1063/5.0281638
A review of ABL modelling in RANS simulations: inlet conditions and turbulence models
Building and Environment, 113251 · doi.org/10.1016/j.buildenv.2025.113251
Deploying small vertical axis wind turbines on urban rooftops: a parametric, dynamic, and hybrid life cycle energy and greenhouse gas emissions analysis
Sustainable Cities and Society, 106977 · doi.org/10.1016/j.scs.2025.106977
Application of a comprehensive atmospheric boundary layer model to a realistic urban-scale wind simulation
Building and Environment, 253, 111330 · doi.org/10.1016/j.buildenv.2024.111330
An extended k-ω SST framework for the RANS simulation of the neutral Atmospheric Boundary Layer
Environmental Modelling & Software, 160, 105583 · doi.org/10.1016/j.envsoft.2022.105583
Contributi a conferenze e capitoli di libri
CFD-based investigation of air quality in urban areas: a case study in Brussels, Belgium
In: International Conference of Wind Engineering 16 (ICWE16), Springer, Cham · doi.org/10.1007/978-3-032-15130-8_22
A data-driven surrogate model framework based on CFD simulations to accelerate wind energy yield assessment
In: International Conference of Wind Engineering 16 (ICWE16), Springer, Cham · doi.org/10.1007/978-3-032-15130-8_29
A combined CFD and ML based approach to perform a feasibility study of wind energy harvesting in the vicinity of the built environment using medium-sized wind turbines
18th International Conference of the Italian Association for Wind Engineering, Pisa, Italy, September 2024
A CFD-based surrogate modeling approach for pedestrian wind comfort assessment
ERCOFTAC, Machine Learning for Fluid Dynamics, Sorbonne University, Paris, France, March 2024
Assessment of the environmental effects of deploying small wind turbines in cities
WSBE24, June 2024
A Computational Fluid Dynamics based framework to assess the wind energy potential of an urban landscape: a case study in Brussels
EGU General Assembly 2023, EGU-15617
Mesh generation for building aerodynamics: challenges, best practices and lessons learned
MASCOT2018, 15th Meeting on Applied Scientific Computing and Tools, Rome, Italy, October 2018
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