Strategic tools towards a sustainable use of biomass for low carbon domestic heating


Aim of work package "Smart tools for sustainable biomass burning" is developing smart tools for a sustainable domestic heating production from biomass in the Alpine Region. Starting from the knowledge of biomass burning impact on climate change and air quality (WPT1) and awareness raising activities (WPT2) this WP will be strategic for the effective implementation of web and mobile apps to promote smart biomass burning. This WP is linked to WPT4 and WPT5 since the forecast model developed will be used to evaluate future policy scenarios that will contribute to the WPT5 outputs.


D.T3.2.1 - A fortrain code for the customized model

One of BB-Clean useful results will be informative mobile app for citizens to be able to burn biomass at the best time of the day in order to lower its environmental impact. The BB-CLEAN project therefore asks for an operational prognostic modelling tool able to provide a 48-h forecast of meteorological conditions and pollution dispersion patterns (based on pilot areas Storo and Vezza d’Oglio). Such a modelling tool must provide the informative mobile app with data to be visualized by the end-user. In particular, high spatial resolution (200-m) expected concentrations of particulate matter (PM10 and PM2.5) must be translated into a user-friendly indication for the best timing for biomass combustion in residential small scale appliances. Result will be “Traffic Light Index” produced by the model and translated into the colour (green, yellow, red) of a Traffic Light as end user web app interface. This report presents the integrated operational numerical modelling chain designed and set-up to fulfil this specific BB-CLEAN aim, describing in details its technical implementation.