SESMG model scenarios of the study "Indicators for the optimization of sustainable urban energy systems based on energy system modeling"

This folder contains the model scenarios belonging to the publication "Indicators for the optimization of sustainable urban energy systems based on energy system modeling" (https://doi.org/10.1186/s13705-021-00323-3).

The individual scenarios can be executed and evaluated with the Spreadsheet Energy System Model Generator (SESMG) v0.0.4, respectively v0.2.0.

The file names are to be understood as follows:

"scenario name"_"(dispatch) optimization criterion"_"scenario concretization"_"further scenario concretization"_"associated program version".xlsx.

For example, the title name "Scenario3_C_4MW_Biogas_SESMGv0.0.4.xlsx" contains the following information:
- This file belongs to scenario 3 (see main publication for details).
- Dispatch optimized according to energy costs C (see main publication for details).
- The scenario contains 4 MW biogas CHP capacity (see main publication for details)
- The scenario is to be executed with SESMG version v0.0.4.

Another example. The title name "optimization_C_80PercentDemand_70PercentEmissions_SESMGv0.1.1.xlsx" contains the following information:
- This file belongs to the optimization scenario (see main publication for details).
- The primary optimization criterion is energy costs C (see main publication for details).
- Energy demand was capped at 80 percent and emissions at 70 percent of baseline (see main publication for details)
- The scenario is to be executed with SESMG version v0.1.1.

Acknowledgements:

The authors would like to thank Prof. Dr. Peter Vennemann (Münster University of Applied Sciences) for the constructive discussion regarding this article. This research has been conducted within the R2Q project, funded by the German Federal Ministry of Education and Research (BMBF) - grant number 033W102A and the junior research group energy sufficiency funded by the German Federal Ministry of Education and Research (BMBF) as part of its Social-Ecological Research funding priority, funding number 01UU2004A.