Published August 16, 2022
| Version v1
Dataset
Open
SESMG scenario-files of the study "Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution"
Authors/Creators
- 1. Münster University of Applied Sciences, Europa-Universität Flensburg
- 2. Europa-Universität Flensburg
- 3. Münster University of Applied Sciences
Description
This dataset contains model scenario-files belonging to the publication "Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution".
The individual scenarios can be executed and evaluated with the "Spreadsheet Energy System Model Generator" (SESMG) v0.4.0rc1
The respective file names indicate to which model run mentioned in the main study the scenario-files belong. For model runs for which no sepparate scenario file exists, the scenario "reference.xlsx" with adjusted SESMG settings was used.
Files
Files
(26.4 MB)
| Name | Size | Download all |
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md5:4a30155ed13510e1b3d958b038431e04
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1.5 MB | Download |
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md5:405912c8627587e725f40dc6a0c2281a
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1.5 MB | Download |
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md5:0fae4070fd8a56ebfb636ddad4b6c1b9
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1.3 MB | Download |
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md5:261347ac77ea0fd61ea2806274320778
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1.3 MB | Download |
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md5:12ea580caec013acd618c00cd2dbd0cf
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1.3 MB | Download |
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md5:a53cfa2c249969945fc5e5883bf3c05e
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1.5 MB | Download |
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md5:f7ac603cdf91a15522109cfe6043f796
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1.5 MB | Download |
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md5:9ca6351b64417dbb365b95d9619b89ac
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1.5 MB | Download |
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md5:357b9d08aba91db3fe12272a21916676
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1.5 MB | Download |
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md5:96c62499864a3b86ddb768cd206377b2
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1.5 MB | Download |
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md5:1dd3f2ee1064aebad5e42d803d417ecd
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1.3 MB | Download |
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md5:e91eeb5b5bbafc9522ef19293409a3a8
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1.5 MB | Download |
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md5:15a4970667d94358ac8447224d004ed2
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1.3 MB | Download |
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md5:76e940816f3f72f4ccde2c6bb7ca447f
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1.5 MB | Download |
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md5:e20286c22e33e60c0455f0ff827f840f
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308.2 kB | Download |
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md5:3444675462cf58f23a88912dbd686d4c
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483.9 kB | Download |
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md5:ba392350d5d83fa3f291c927076409b5
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840.4 kB | Download |
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md5:4b4d2d6ae4cf64444398d814d3f69aa4
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1.5 MB | Download |
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md5:095d1a247649f05813fc6e6320f80dd9
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1.5 MB | Download |
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md5:0b74ae8ab261f07144513a61d5ad21a1
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1.5 MB | Download |
Additional details
Related works
- Is described by
- Journal article: 10.1016/j.apenergy.2022.120574 (DOI)