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

  1. Parrado-Hernando, Gonzalo 1
  2. Pfeifer, Antun 2
  3. Herc, Luka 3
  4. Gjorgievski, Vladimir 4
  5. Batas Bjelic, Ilija 5
  6. Duić, Neven 2
  7. Frechoso Escudero, Fernando 1
  8. Miguel González, Luis Javier 1
  9. Capellán-Perez, Iñigo 1
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  2. 2 University of Zagreb
    info

    University of Zagreb

    Zagreb, Croacia

    ROR https://ror.org/00mv6sv71

  3. 3 University of Zagreb, Zagreb
  4. 4 University Ss Cyril and Methodius
  5. 5 University of Belgrade
    info

    University of Belgrade

    Belgrado, Serbia

    ROR https://ror.org/02qsmb048

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Editor: Zenodo

Año de publicación: 2022

Tipo: Dataset

CC BY 4.0

DOI: 10.5281/ZENODO.5820502 lock_openAcceso abierto editor

Resumen

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. <strong>Python scripts </strong>("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 <strong>PowerPoint file</strong> ("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<strong> Excel file</strong> ("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 <strong>Matlab file (</strong>"CreateRegressionModels.m"<strong>)</strong> automatically generates the regression models for the European region of WILIAM (official model of the Locomotion project). Best regards, Gonzalo.