In order to achieve ambitious targets of economic and environmental sustainability, it is essential to design integrated energy systems capable of fully exploiting renewable energy through technologies for the transformation and storage of energy in different vectors (e.g. electricity, gas, heat). To do this, we need the support of complex modeling tools that allow us to accurately simulate the system dynamics and assess planning choices against multiple targets. Such tools

allow the most efficient solutions to be identified but their real effectiveness, especially in local-scale applications, strongly depends on the quality of input data and therefore on the ability to accurately characterize the territory in question from an energy point of view.

The objective of the activity is to develop a modeling chain for local-scale multi-energy planning based on an accurate and robust characterization of the territory under consideration. The modeling chain is made up of TOTEM (Territory Overview Tool for Energy Modeling), a tool designed and developed in this activity, and the Calliope, a model selected from several open source models for multi-energy analysis.

This report firstly describes the functionality and potential of the Calliope multi-energy analysis model through the implementation of a test case study.

Afterward, it presents the modeling chain based on the TOTEM tool and a software procedure for using the Calliope model.

By means of different methodologies that exploit the territorial information present in the Energy, Territory & Environment geo-database (GeoDB ETA), TOTEM produces an energy characterization of the territory by estimating hourly provincial-scale data on the availability of renewable resources, the potential for exploitation of the territory and the energy demand for electricity and heat.

The second tool allows us to carry out a multi-energy analysis of the territory with the Calliope model starting from the input data estimated with the TOTEM tool, and view the results obtained. The methodology will be completed in the next Line of Activity and applied to different real case studies for the identification of the most efficient planning solutions.