Modelling urban canopy with object-based porosity model

• Published in: The International journal of heat and fluid flow Vol. 107; p. 109394
• Main Authors: Hadžiabdić, M., Hodža, A., Ničeno, B.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.07.2024
• Subjects: Hybrid RANS-LES; Object-based porosity model; Urban canopy modelling; Urban flows; Object-based porosity model; Urban canopy modelling; Hybrid RANS-LES; Urban flows
• ISSN: 0142-727X; 1879-2278
• DOI: 10.1016/j.ijheatfluidflow.2024.109394

We present a novel approach to modelling urban canopies based on the porosity model. The impact of objects in the canopy layer is implicitly accounted for by applying a high-value drag force in the parts of the canopy layer that objects would occupy. This effectively halts fluid flow in the defined space of the objects, mimicking the impact of solid objects in the canopy layer. The model addresses two common issues in urban canopy modelling: the definition of the drag coefficient and the loss of canopy morphology, which significantly affect flow and turbulence fields. The model is assessed for three cases: two idealised urban-like canopies with realistic urban flow conditions and one benchmark case based on the measurements of Hilderman and Chong (2007). The benchmark results, where the explicitly modelled objects are reduced from 109 to 9, show that the new model exhibits a level of accuracy similar to explicit modelling. We also computed the commonly used zone-based porosity and roughness models for the two idealised urban-like canopies. The new model produced results comparable to the results of explicit modelling and superior to those of the alternative approaches. All cases were computed in unsteady mode using a hybrid RANS/LES model based on elliptic-relaxation eddy-viscosity RANS and the dynamic Smagorinsky model. The simulations were performed using the open-source computational fluid dynamics code T-Flows, available on Github. •The proposed model accurately predicts urban-canopy flow characteristics.•The model does not depend on specific porosity model coefficients.•Unlike the roughness and porosity model, flow separation is captured.•The CFL number is reduced by 25% compared to the explicit modelling.