pyPRIMA

python PReprocessing of Inputs for Model frAmeworks

Code developers

Kais Siala, Houssame Houmy

Documentation authors

Kais Siala

Maintainers

Kais Siala <kais.siala@tum.de>

Organization

Chair of Renewable and Sustainable Energy Systems, Technical University of Munich

Version

1.0.1

Date

Jul 09, 2021

License

The model code is licensed under the GNU General Public License 3.0. This documentation is licensed under a Creative Commons Attribution 4.0 International license.

Features

• Aggregation of input data for any user-defined regions provided as a shapefile

• Automation of the pre-processing to document assumptions and avoid human errors

• Cleaning of raw input data and creation of model-independent intermediate files

• Adaptation to the intermediate files to the models urbs and evrys as of version 1.0.1

Applications

This code is useful if:

• You want to create different models using the same input database, but different model regions

• You want to harmonize the assumptions used in different model frameworks (for comparison and/or linking)

• You want to generate many models in a short amount of time with fewer human errors

Changes

version 1.0.0

This is the initial version.

Contents

User manual

These documents give a general overview and help you get started from the installation to you first running model.

• User manual
  • Installation
  • config.py
    • Main configuration function
    • User preferences
    • Paths
  • runme.py
  • Recommended input sources
    • Load time series for countries
    • Sectoral load profiles
    • Sector shares (demand)
    • Power plants and storage units
    • Renewable installed capacities
    • Renewable potential maps
    • Renewable time series
    • Transmission lines
    • Other assumptions
  • Recommended workflow
    • Correction and cleaning of raw input data
    • Generation of intermediate files
    • Generation of model input files

Theoretical description

Continue here if you want to understand the theoretical conception behind the generate load time series function.

• Theory
  • Purpose
  • Inputs
  • Sectoral disaggregation
  • Spatial disaggregation
  • Re-aggregation

Technical documentation

Continue here if you want to understand in detail the model implementation.

• Implementation
  • Main configuration function
  • User preferences
  • Paths
  • initialization.py
  • generate_intermediate_files.py
  • correction_functions.py
  • spatial_functions.py
  • input_maps.py
  • util.py
  • generate_models module.py

Dependencies

A list of the used libraries is available in the environment file:

name: gen_mod
channels:
  - defaults
  - conda-forge
dependencies:
  - pip=19.3.1
  - pip:
    - pyproj
  - numpy=1.16.4
  - pandas=0.25.1
  - gdal=2.4.2
  - geopandas=0.5.1
  - geopy=1.20.0
  - openpyxl=3.0.0
  - pysal=2.0.0
  - dill=0.3.1.1
  - pyshp=2.1.0
  - python=3.7.5
  - rasterio=1.0.25
  - scipy=1.3.1
  - shapely=1.6.4
  - xlrd=1.2.0
prefix: D:\Miniconda3\envs\gen_mod

Bibliography

• Bibliography

Indices and tables

• Index

• Module Index