oemof.tabular – Introducing Data Packages for Reproducible Workflows in Energy System Modeling

Abstract

The paper describes how Data Packages can be used for creating reproducible workflows in energy system modeling. The presented concept has been implemented in the Python package oemof.tabular. The package is designed as an interface to instantiate energy system models from tabular data sources based on the oemof. solph library. To implement the data model, oemof.tabular extends the Open Energy Modelling Framework (oemof) by facada classes. The developed data model allows users to work with Data Packages and meta data information. The simplified tabular data structure can be used for large energy system models as well as in teaching environments leveraging functionalities of the already widely used oemof.solph library.