Dynamic indicator calculation in ToSIA using a framework for model linkage

The research aims to give clear specifications for ToSIA software development on dynamic indicator calculation using a framework for model linkage, in order to minimize data collection and to maximize results’ consistency. The work is carried on mainly through the application of ToSIA to different case studies and analyzing synergies with external models.

ToSIA has been defined as a flexible tool in order to adapt indicator calculation on source data features and chosen indicators.

ToSIA Data sources consist in several studies and statistics at local and national level, as well as judgment of local experts. In some cases different data sources should be been compared in order to assign a unique value to the Indicators. Moreover, in scenario analysis modification in parameters or indicators should be considered as well.

Currently, indicator values should be allocated manually: the user must define the value of each indicator at process level (e.g. emitted kg of CO₂ per produced kWh by a combustion process).

The research aim is to give clear specification for ToSIA development in order to develop a framework for linkages between ToSIA and other datasets and models.

On one hand, the dynamic calculation of indicators can substantially facilitate faster and less error-prone set up and data collection in new case studies and  enhance transparency and user friendliness of ToSIA, on the other it should improve the consistency of results, and give the possibility of automatically carrying out scenario analysis.

Related scientific works are:

• D. Blagoiević, S. Martire, C.Y. Hendrickson, M. Hanzu, M.V. Galante, T. Käjkönen et al. Making values work: Enhancing multi-dimensionalperspectives towards forest management, 2016. SEEFOR 7 (1) in press (Scientific Paper);
• S. Martire, D. Tuomasjukka, M. Lindner. Wood flow modelling for a more sustainable regional forest-based sector. In Towards a Sustainable Bioeconomy Conference, 2015, Barcelona (Presentation);
• S. Martire, D. Tuomasjukka, T. Suominen, M. Lindner,. A widely usable framework to calculate indicators for sustainability assessment of biobased supply chains. In Towards a Sustainable Bioeconomy Conference, 2015, Barcelona (Presentation);
• S. Martire, D. Tuomasjukka, M. Lindner, J. Fitzgerald and V. Castellani. Sustainability Impact Assessment for local energy supplies' development - The case of the alpine area of Lake Como, Italy. In Biomass and Bioenergy, 2015. (Scientific Paper).