Strategic tools towards a sustainable use of biomass for low carbon domestic heating
This app forecasts PM10 and PM2.5 three-hourly concentrations on a 48-h period (thanks to the values calculated by an integrated WRF-CHEM / Calpuff model calibrated with local experimental data) and provides information on a more sustainable use of wood-burning systems by providing an indication via a traffic light index (red-yellow-green). In the hours when the APP indicates a red traffic light, the use of wood combustion appliances is not recommended. Whenever the traffic light shows a green colour, a good dispersion of pollutants is expected and therefore the use of wood-burning systems is allowed. A yellow traffic light suggests not to burn biomass if an alternative system (i.e. natural gas boiler) or a heat storage system is coupled to the biomass appliance.
The data shown by the web app are based on a meteorological weather forecast model coupled to a dispersion model at local level (200 m spatial resolution) running over two Northern Italian regions (Storo and Vezza d’Oglio territorial domains). The integrated model whose data are feeding the APP was calibrated with experimental data coming from monitoring campaigns developed in the two case studies investigated in January and February 2020.