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Supplementary Material | A holistic framework for developing expert systems t...
This data set provides a breakdown of energy use by energy carriers for the manufacturing industry in Germany in 2023. Moreover, CO2 factors and cost factors are given for the... -
Energy density of chemical energy carriers
How much energy can be stored in the volume of a water bottle? The figure shows the stored energy, weight, and temperature when storing different chemical energy carriers. -
Data for ''Assessing turbulence–flame interaction of thermo-diffusive lean pr...
This dataset contains the results published in the paper ''Assessing turbulence–flame interaction of thermo-diffusive lean premixed H2/air flames towards distributed burning... -
Data for ''Internal flame structures of thermo-diffusive lean premixed H2/air...
This dataset contains the results published in the paper ''Internal flame structures of thermo-diffusive lean premixed H2/air flames with increasing turbulence'' in the journal... -
Data for ''Macroscopic flame and flow structures in hydrogen and methane mult...
This dataset contains the results published in the paper ''Macroscopic flame and flow structures in hydrogen and methane multi-regime combustion'' in the journal of Proceedings... -
OxyflameC7-Campaign2_AS-FTIR-Data
Dataset for the FTIR measurements in the second experimental campaign including the low swirl, 500kWth biomass flame. -
Supplementary Material | A holistic framework for developing expert systems t...
Here you can find two supplementary materials to the paper “A holistic framework for developing expert systems to improve energy efficiency in manufacturing”:... -
Dataset to: Turbulent flame-wall interaction of premixed flames using Quadrat...
The dataset corresponds to an analysis of a premixed methane-air flame undergoing side-wall quenching in a fully-develped turbulent channel flow. Thereby, the unresolved... -
Supplementary Material | An Empirical Comparison of Machine Learning Methods ...
Here you can find the supplementary material to the paper “An Empirical Comparison of Machine Learning Methods for Thermal Load Forecasting in Industrial Production Systems”:... -
Interview study on sector coupling
The data were collected using a two-stage interview process and are structured as follows: 1. Semi-struct. questionnaire 2. Requirements 3. Expert questionnaire 4. Results... -
Supplementary material to "A comparison of mechanistic models for the combust...
This supplemental material contains the processed secondary data which was used to generate the plots and graphics in our submission. From selected setups, additional raw data... -
Supplementary Material - Planning and Selection of Decentral Investments at P...
This item contains all the supplementary material that is necessary to fully replicate the outcome of the dissertation from Michael Frank.
