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.


Aim of this Deliverable is the presentation of the comparative analysis between the main results of the winter monitoring campaigns held in two Italian case studies of Storo (Province of Trento) and Vezza d’Oglio (Province of Brescia) and the model output data. In particular, meteorological data (temperature, precipitation, wind speed, relative humidity) and PM concentrations (PM2.5 and PM10) were considered for the comparative analysis. Both ground level data and data collected along vertical profiles through the installation of fixed microstations along the slope of the mountains and tethered ballon monitoring campaigns had been considered in order to test the alignment between the model output data and the measurements using the original integrated model (the one developed for BB-CLEAN and described in details in D.3.2.1) starting from ground level till altitudes at about 1000 m above ground level for both case studies.


This deliverable aims at explaining the calibration procedure of the original modelling chain developed in the framework of BB-CLEAN, analytically described in D.T3.2.1 and applied to the two territorial domains of Storo (Province of Trento, IT) and Vezza d’Oglio (Province of Brescia, IT), following the results of the comparative analysis between experimental data and model output data reported in Deliverable D.T3.3.1.
The calibration procedure consisted of a physical-based step and a statistically-base step and it was focused on PM concentrations that mostly showed a significant misalignment between experimental data and the output data of the original integrated model.


D.T3.4.1 - BB-Clean platform to foster the use of local biomass 

Ideally woody biomass should be provided locally (within distances of 30-40 km). In this case biomass is a viable alternative to fossil fuels which today must be imported. This platform is meant to foster the use of local woody biomass. This user-friendly solution is aiming to bring together buyers and sellers of woody biomass from across Alpine region countries (Italy, France, Slovenia, Germay, Austria), so that buyers can find information on best biomass providers based on short transport lines.