Capturing features of hourly-resolution energy models through statistical annual indicators

Dear colleagues,

This is the official repository of the Task 7.4 of H2020 Locomotion project. Feel free to use our data by citing this work and comment about our work by referencing the main authors of it. The article explaining this work is under revision. it will be referenced as soon as posible.

Python scripts ("create_inputs.txt" and "run_simulations.txt") creates the input files for EnergyPLAN. The second one runs iteratively EnergyPLAN to generate the outputs of combinations (which are saved in the "EU_Iterate_case.xlsx" file). Hourly distributions of demands and supply technologies are contained in the RAR file ("EUdist.rar") and "EU_start_v2_noFlex.txt" initialize the starting configuration of the European energy system. Those files are required to run EnergyPLAN. The PowerPoint file ("EnergyPLAN_instructions.pptx") explains the procedure to carry out the runs of combinations in Python/Excel.

In case you couldn't properly do the combinations, the Excel file ("EU.xlsx") saves this information, so the steps of the approach could be followed from this point with the Excel file. We have used Power Query (Excel) to prepare the data for the next step of building the regression models.

The Matlab file ("CreateRegressionModels.m") automatically generates the regression models for the European region of WILIAM (official model of the Locomotion project).

Best regards,

Gonzalo.