python PReprocessing of Inputs for Model frAmeworks: a tool to automate the creation of energy system models using a common database

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 of the intermediate files to the models urbs and evrys

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

Contributors ✨

Thanks goes to these wonderful people (emoji key):

kais-siala 💬 🐛 💻 📖 🤔 🚧 👀 ⚠️ 📢

HoussameH 💻 📖

molarana 🎨

lodersky 💻 👀

This project follows the all-contributors specification. Contributions of any kind welcome!

Please cite as:

Kais Siala and Houssame Houmy. (2020, June 1). tum-ens/pyPRIMA: python PReprocessing of Inputs for Model frAmeworks (Version v1.0.1). Zenodo. http://doi.org/10.5281/zenodo.3872022