Dataset of numerical assessment on the combined effects of non-thermal plasma and water addition in hydrogen combustion

This dataset contains raw and analyzed numerical simulation data, tables, and figures focused on the synergistic effects of nanosecond repetitively pulsed discharge (NRPD) plasma and water addition in hydrogen combustion. The data were generated using zero-dimensional (0D) plasma-assisted combustion simulations for H₂/H₂O/air mixtures. The simulation framework utilized a Design of Experiments (DoE) approach to systematically explore parameter interactions. This comprehensive numerical dataset offers insight into how plasma effects and water vapor influence hydrogen combustion and NO<sub>x</sub> formation. The data are valuable for researchers and engineers seeking to design and optimize plasma-assisted hydrogen engines and low-emission combustion systems by providing information on ignition delay, radical formation, and emission behavior under various plasma-water conditions. It also supports the development and validation of chemical kinetic models and machine-learning-based combustion optimization frameworks using well-defined simulation parameters and responses.

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Publication Details

Journal
Data in Brief
Published
2025-12-19
DOI
https://doi.org/10.1016/j.dib.2025.112405
Primary Topic
Plasma Applications and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Dataset of numerical assessment on the combined effects of non-thermal plasma and water addition in hydrogen combustion

Data in Brief
Plasma Applications and Diagnostics
article

Dataset of numerical assessment on the combined effects of non-thermal plasma and water addition in hydrogen combustion

article en

Abstract

This dataset contains raw and analyzed numerical simulation data, tables, and figures focused on the synergistic effects of nanosecond repetitively pulsed discharge (NRPD) plasma and water addition in hydrogen combustion. The data were generated using zero-dimensional (0D) plasma-assisted combustion simulations for H₂/H₂O/air mixtures. The simulation framework utilized a Design of Experiments (DoE) approach to systematically explore parameter interactions. This comprehensive numerical dataset offers insight into how plasma effects and water vapor influence hydrogen combustion and NO<sub>x</sub> formation. The data are valuable for researchers and engineers seeking to design and optimize plasma-assisted hydrogen engines and low-emission combustion systems by providing information on ignition delay, radical formation, and emission behavior under various plasma-water conditions. It also supports the development and validation of chemical kinetic models and machine-learning-based combustion optimization frameworks using well-defined simulation parameters and responses.

Data in BriefVol. 64
Memorial University of Newfoundland (CA), University of Salento (IT), Aalto University (FI)
Clean water and sanitation
Openalex Percentile: Top 32%
Plasma Applications and Diagnostics
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