system-model

The system model frame work. Turning the raw data into into a computational structure.

This project will be take care of all the modelling choices and data reconciliation between the different data sources. As the very core it will take the raw data from the rdf database and turn it into a computational structure (such as an A-matrix). It will then export it again to the rdf database.

Hackathon objective

For the purpose of the Barcelona hackathon this will need to update the electricity information in EXIOBASE with the information from the B-entso project. For the first simple model we will use pySUT to construct an input-output table from supply and use tables (SUTs). pySUT takes numpy arrays (SUTs) as an input and outputs a numpy array A-matrix.

For this we will need to following:

• Function to query exiobase rdf data and turn it into supply use tables. (main work)
• Function to query electricity mix rdf data.
• Function to map/aggregate the regional electricity data to the exiobase region/activity/unit name classification.
• Function to insert updated electricity mix information into the the SUTs
• Function (wrapper) to give user options which constructs to apply to turn the SUTs into an A matrix.
• Function to write the A-matrix to the rdf database.