Modelling air pollution abatement in deep street canyons by means of air scrubbers
Marina De Giovanni, Gabriele Curci, Alessandro Avveduto, Lorenzo Pace,, Cesare Dari Salisburgo, Franco Giammaria, Alessio Monaco, Giuseppe Spanto,, Paolo Tripodi

TL;DR
This study explores the use of air scrubbers in deep street canyons to reduce pollution levels, showing significant potential for pollutant removal through CFD simulations of absorber efficacy.
Contribution
It introduces a novel theoretical approach using CFD to evaluate the effectiveness of air pollution abatement devices in urban street canyons.
Findings
Absorbers can increase canyon cleaning by up to 70%.
Maximum abatement varies by location, up to -51% in the upwind corner.
Efficacy increases rapidly at low efficiencies, saturating at higher efficiencies.
Abstract
Deep street canyons are characterized by weak ventilation and recirculation of air. In such environment, the exposure to particulate matter and other air pollutants is enhanced, with a consequent worsening of both safety and health. The main solution adopted by the international community is aimed at the reduction of the emissions. In this theoretical study, we test a new solution: the removal of air pollutants close to their sources by a network of Air Pollution Abatement (APA) devices. The APA technology depletes gaseous and particulate air pollutants by a portable and low-consuming scrubbing system, that mimics the processes of wet and dry deposition. We estimate the potential pollutant abatement efficacy of a single absorber by Computational Fluid Dynamics (CFD) method. The presence of the scrubber effectively creates an additional sink at the bottom of the canyon, accelerating its…
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Taxonomy
TopicsWind and Air Flow Studies · Smart Materials for Construction · Aerodynamics and Fluid Dynamics Research
