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

Simon Hilpert; Stephan Günther; Martin Söthe

doi:10.5334/jors.320

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

Journal of Open Research Software

Volume 9 (2021): Issue 1

By: Simon Hilpert , Stephan Günther and Martin Söthe

Open Access

|May 2021

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.

References

Zenodo – Research. Shared. https://zenodo.org/.
Search in Google Scholar Back to article
Boysen C, Kaldemeyer C, Hilpert S, Tuschy, I. Integration of Flow Temperatures in Unit Commitment Models of Future District Heating Systems. Energies. Mar. 2019; 12(6): 1061. DOI: 10.3390/en12061061
Open DOI Search in Google Scholar Back to article
DeCarolis J, Daly H, Dodds P, Keppo I, Li F, McDowall W, Pye S, Strachan N, Trutnevyte E, Usher W, Winning M, Yeh S, Zeyringer M. Formalizing best practice for energy system optimization modelling. Applied Energy. May 2017; 194: 184–198. DOI: 10.1016/j.apenergy.2017.03.001
Open DOI Search in Google Scholar Back to article
ECMA. Standard ECMA-404 The JSON Data Interchange Syntax; 2017.
Search in Google Scholar Back to article
Gamma E, Helm R, Johnson R, Vlissides J, Booch G. Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional; 1994.
Search in Google Scholar Back to article
Hilpert S. Effects of Decentral Heat Pump Operation on Electricity Storage Requirements in Germany. Energies. June 2020; 13(11): 2878. DOI: 10.3390/en13112878
Open DOI Search in Google Scholar Back to article
Hilpert S, Günther S, Söthe M. oemof/oemof-tabular, June 2020. original-date: 2018-11-20T16:05:32Z. https://github.com/oemof/oemof-tabular.
Search in Google Scholar Back to article
Hilpert S, Kaldemeyer C, Krien U, Günther S, Wingenbach C, Plessmann G. The Open Energy Modelling Framework (oemof) – A new approach to facilitate open science in energy system modelling. Energy Strategy Reviews. Nov. 2018; 22: 16–25. DOI: 10.1016/j.esr.2018.07.001
Open DOI Search in Google Scholar Back to article
Hilpert S, Söthe M, Wingenbach C. ANGUSII Scenarios: German Energy System 2030. Zenodo, July 2019. DOI: 10.5281/zenodo.3714708
Open DOI Search in Google Scholar Back to article
Hotmaps. Hotmaps Toolbox; 2019. https://www.hotmaps-project.eu/.
Search in Google Scholar Back to article
Howells M, Rogner H, Strachan N, Heaps C, Huntington H, Kypreos S, Hughes A, Silveira S, DeCarolis J, Bazillian M, Roehrl A. Osemosys: The open source energy modeling system: An introduction to its ethos, structure and development. Energy Policy. 2011; 39(10): 5850–5870. Sustainability of biofuels. DOI: 10.1016/j.enpol.2011.06.033
Open DOI Search in Google Scholar Back to article
Huppmann D, Gidden M, Fricko O, Kolp P, Orthofer C, Pimmer M, Kushin N, Vinca A, Mastrucci A, Riahi K, Krey V. The MESSAGEix Integrated Assessment Model and the ix modeling platform (ixmp): An open framework for integrated and cross-cutting analysis of energy, climate, the environment, and sustainable development. Environmental Modelling & Software. Feb. 2019; 112: 143–156. DOI: 10.1016/j.envsoft.2018.11.012
Open DOI Search in Google Scholar Back to article
Hörsch J, Hofmann F, Schlachtberger D, Brown T. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews. Nov. 2018; 22: 207–215. DOI: 10.1016/j.esr.2018.08.012
Open DOI Search in Google Scholar Back to article
jnnr, FranziPl, Möller C, jakob wo, MaGering, Schönfeldt P, Krien U, Kaldemeyer C, Günther S. oemof/oemof-thermal: Amazing Absorption (v 0.0.3). July 2020. DOI: 10.5281/zenodo.3929692
Open DOI Search in Google Scholar Back to article
Lopion P, Markewitz P, Robinius M, Stolten D. A review of current challenges and trends in energy systems modeling. Renewable and Sustainable Energy Reviews. Nov. 2018; 96: 156–166. DOI: 10.1016/j.rser.2018.07.045
Open DOI Search in Google Scholar Back to article
Maruf MNI. Sector Coupling in the North Sea Region—A Review on the Energy System Modelling Perspective. Energies. Nov. 2019; 12(22): 4298. DOI: 10.3390/en12224298
Open DOI Search in Google Scholar Back to article
Morrison R. Energy system modeling: Public transparency, scientific reproducibility, and open development. Energy Strategy Reviews. Apr. 2018; 20: 49–63. DOI: 10.1016/j.esr.2017.12.010
Open DOI Search in Google Scholar Back to article
OPSD. Open Power System Data – A platform for open data of the European power system. 2019. https://open-power-system-data.org/.
Search in Google Scholar Back to article
Pfenninger S, DeCarolis J, Hirth L, Quoilin S, Staffell I. The importance of open data and software: Is energy research lagging behind? Energy Policy. Feb. 2017; 101: 211–215. DOI: 10.1016/j.enpol.2016.11.046
Open DOI Search in Google Scholar Back to article
Pfenninger S, Hawkes A, Keirstead J. Energy systems modeling for twenty-first century energy challenges. Renewable and Sustainable Energy Reviews. 2014; 33: 74–86. DOI: 10.1016/j.rser.2014.02.003
Open DOI Search in Google Scholar Back to article
Pfenninger S, Pickering B. Calliope: a multi-scale energy systems modelling framework. Journal of Open Source Software. Sept. 2018; 3(29): 825. DOI: 10.21105/joss.00825
Open DOI Search in Google Scholar Back to article
Pollock R, Walsh P. Data Package; 2007. https://specs.frictionlessdata.io/data-package/.
Search in Google Scholar Back to article
Prina MG, Casalicchio V, Kaldemeyer C, Manzolini G, Moser D, Wanitschke A, Sparber W. Multi-objective investment optimization for energy system models in high temporal and spatial resolution. Applied Energy. Apr. 2020; 264: 114728. DOI: 10.1016/j.apenergy.2020.114728
Open DOI Search in Google Scholar Back to article
Sandve GK, Nekrutenko A, Taylor J, Hovig E. Ten Simple Rules for Reproducible Computational Research. PLOS Computational Biology. Oct. 2013; 9(10): e1003285. DOI: 10.1371/journal.pcbi.1003285
Open DOI Search in Google Scholar Back to article
Walsh P, Pollock R, Björgvinsson T, Bennett S, Kariv A, Fowler D. Fiscal Data Package; 2014. https://specs.frictionlessdata.io/fiscal-data-package/.
Search in Google Scholar Back to article
Wash P, Pollock R, Keegan M. Tabular Data Package; 2012. https://specs.frictionlessdata.io/tabular-data-package/.
Search in Google Scholar Back to article
Wehkamp S, Schmeling L, Vorspel L, Roelcke F, Windmeier K-L. District Energy Systems: Challenges and New Tools for Planning and Evaluation. Energies. June 2020; 13(11): 2967. DOI: 10.3390/en13112967
Open DOI Search in Google Scholar Back to article
Wiese F, Bramstoft R, Koduvere H, Pizarro Alonso A, Balyk O, Kirkerud JG, Tveten AG, Bolkesjö TF, Münster M, Ravn H. Balmorel open source energy system model. Energy Strategy Reviews. Apr. 2018; 20: 26–34. DOI: 10.1016/j.esr.2018.01.003
Open DOI Search in Google Scholar Back to article
Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten J-W, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJ, Groth P, Goble C, Grethe JS, Heringa J, ’t Hoen PA, Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone S-A, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Velterop J, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B. The FAIR Guiding Principles for scientific data management and stewardship. Mar. 2016; 3: 160018. DOI: 10.1038/sdata.2016.18
Open DOI Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.5334/jors.320 | Journal eISSN: 2049-9647

Journal RSS Feed

Language: English

Submitted on: Jan 30, 2020

Accepted on: Oct 30, 2020

Published on: May 5, 2021

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

energy system analysis,

renewable energy,

energy system modeling,

open science,

reproducible workflows

© 2021 Simon Hilpert, Stephan Günther, Martin Söthe, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 9 (2021): Issue 1