Dataset of an experimental campaign of a Digital Twin for a biomass-to-SNG pilot plant

2026-07-07T20:53:12Z https://researchdata.tuwien.ac.at/oai2d

oai:researchdata.tuwien.ac.at:5whzg-62b97 2025-04-02T11:26:09Z openaire_data

4.3 TUW.TUDATA 10.48436/5whzg-62b97 oai:researchdata.tuwien.ac.at:5whzg-62b97 Jankovic, Stefan Stefan Jankovic 0000-0001-5334-6660 TU Wien Verto Engineering GmbH Dataset of an experimental campaign of a Digital Twin for a biomass-to-SNG pilot plant TU Wien 2025 Digital Twin Synthetic Natural Gas Dual Fluidised Bed Steam Gasification Stanger, Lukas Lukas Stanger 0000-0003-3846-732X TU Wien Bartik, Alexander Alexander Bartik 0000-0001-9350-546X TU Wien Hammerschmid, Martin Martin Hammerschmid 0000-0002-1155-926X TU Wien Benedikt, Florian Florian Benedikt 0000-0002-8600-1375 TU Wien Mittermayr, Michael Michael Mittermayr Zühlke Engineering (Austria) GmbH Binder, Matthias Matthias Binder 0000-0002-7359-9523 BEST - Bioenergy and Sustainable Technologies (Austria) TU Wien Kozek, Martin Martin Kozek 0000-0003-0402-3309 TU Wien Müller, Stefan Stefan Müller 0000-0001-8878-429X TU Wien Verto Engineering GmbH 2025-04-01 2025-04-02 eng 10.48436/vckpr-rsj02 1.0.0 Creative Commons Attribution Share Alike 4.0 International This dataset contains the results of the Digital Twin for a biomass-to-SNG pilot plant created within the ADORe-SNG project. 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. 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” Climate and Energy Fund 044ym4p17 881135 ADORe-SNG