Datasets for high hydrogen content syngas fuel variability effect on combustion physicochemical properties
| Autor: | Kai Zhang, Xi Jiang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Fuel variability
Combustion Probability density function lcsh:Computer applications to medicine. Medical informatics 7. Clean energy 03 medical and health sciences 0302 clinical medicine Sensitivity (control systems) Uncertainty quantification Process engineering lcsh:Science (General) 030304 developmental biology UQ 0303 health sciences Multidisciplinary Energy business.industry Sobol sequence Flame speed Syngas Adiabatic flame temperature 13. Climate action Environmental science lcsh:R858-859.7 business Sensitivity analysis 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 29, Iss, Pp-(2020) Data in Brief |
| ISSN: | 2352-3409 |
| Popis: | The dataset presented in this article is related to the uncertainty quantification of fuel variability effect on high hydrogen content syngas combustion physicochemical properties. The 1D flame data included in this dataset are collected using PREMIX module available in Chemkin-Pro. Inputs to and outputs collected from the PREMIX module are generated and post-processed using UQTk-3.0.4, an open-access uncertainty quantification (UQ) toolkit developed at Sandia National Laboratories. The 1D flame data here refers to the calculation of flame speed, flame temperature, NO emission, etc. using three detailed chemical mechanisms: the GRI-Mech 3.0, the San Diego, and the NUI Galway Mechanism. The main analysis performed using UQTk-3.0.4 focuses on obtaining main and joint sensitivity effects (Sobol Indices) of uniformly distributed fuel uncertainty on 1D premixed physicochemical property. Other parameters such as the resulted probability density function or fluctuation of these properties are also explored. This new and original dataset is suitable for further analyzing fuel variability effect on other significant flame controlling parameters such as Karlovitz number, flame thickness, etc. in the discipline of turbulent combustion simulation. Keywords: UQ, Combustion, Syngas, Sensitivity analysis, Fuel variability |
| Databáze: | OpenAIRE |
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