Data · dataset · 2025
Dataset of an experimental campaign of a Digital Twin for a biomass-to-SNG pilot plant
Listed in TU Wien Research Data
This dataset contains the results of the Digital Twin for a biomass-to-SNG pilot plant created within the ADORe-SNG project .
Description
Changes In version 1.1.0, a small error in the IPSEpro simulation data was corrected. Context and methodology A Digital Twin was created for a biomass-to-SNG pilot plant at TU Wien.
The plant was automated and optimised using model predictive control (MPC), online process simulation and a soft sensor. The data presented here is the output of these software tools that controlled the plant and were presented to the operators in real time. The plant data stems from an excerpt of 9.5 hours from an experimental campaign in November 2023 The dataset accompanies a publication wherein further details regarding methods can be found.
Read the rest (1 more)
Technical details The data consist of four files: Two CSV files with the outputs of the MPC Data_MPC_DFB.csv with a sampling rate of 5 seconds Data_MPC_Syngas.csv with a sampling rate of 1 second One CSV file with the results of the soft sensor Data_SoftSensor.csv with a sampling rate of 1 second retimed to 1 minute One JSON file with the inputs and outputs of the online process simulation in the software IPSEpro Data_IPSE.json with a sampling rate of 1 minute The variable names in the files are explained in the attached README.txt Further details For further details see the publication “Design and Implementation of a Digital Twin for a Biomass-to-Gas plant” by Stefan Jankovic, Lukas Stanger, Alexander Bartik, Martin Hammerschmid, Florian Benedikt, Michael Mittermayr, Matthias Binder, Martin Kozek and Stefan Müller submitted to “Applied Energy”
Links
Where it is published
- TU Wien Research Data record researchdata.tuwien.ac.at/records/6mmjq-1tj37 ↗
landing page · from researchdata tuwien ac at
- DOI doi.org/10.48436/6mmjq-1tj37 ↗
DOI / persistent id · from researchdata tuwien ac at
Catalogue records · 1
- InvenioRDM API researchdata.tuwien.ac.at/api/records/6mmjq-1tj37 ↗
metadata API · from researchdata tuwien ac at
Topics
- Stated by source
- Digital Twin · Dual Fluidised Bed Steam Gasification · Synthetic Natural Gas
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TU Wien Research Data | 6mmjq-1tj37 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · researchdata tuwien ac at | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:digital-twin | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:dual-fluidised-bed-steam-gasification | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| concepts[topic].invenio_subject:researchdata_tuwien_ac_at:synthetic-natural-gas | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| description | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/description |
| license | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| publication_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| title | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | /metadata/title |
| updated_date | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 | |
| version_label | source · researchdata tuwien ac at | connector:researchdata_tuwien_ac_at@1.0.0 |