By means of the most advanced numerical simulation algorithms, we provide solutions about every issue related to air quality: the impact of new emission sources like roads, construction sites, industrial plants and any critical facility.
Our expertise also covers data analysis, computational fluid dynamics (CFD) and numerical methods applied to problems such as meteorology, micro-climate and thermal comfort.
Simulation of dispersion of pollutants emitted in the atmosphere by:
Air quality assessment on regional scale as an integration of measured data. Definition of alternative emission scenarios and comparison of improving effects on air quality.
Execution of studies related to the atmospheric component of Environmental Impact Assessment (EIA) procedures.
Dispersion studies on very small scale, in industrial or urban environment, to assess continuous or accidental releases, taking into account the details of the buildings and obstacles effects as well as orography.
Collection, analysis and post processing of information to compile and update emission inventories .
Analysis of the local microclimate by computational fluid dynamics (CFD). It allows for the assessment of different architectural solutions in a give urban site, in terms of meteorological quantities and parameters for the evaluation of thermal comfort.
Analysis of site specific meteorological data to optimize wind farms siting and to estimate their wind energy potential, by integrating measurement data with three dimensional models.
Analysis and post processing of experimental site specific data and their interpretation with or without the support of simulation models data.
We develop Machine Learning algorithms with observed data and numerical simulation results to analyse atmospheric pollution at very high spatial resolution.