Experimental study of premixed hydrogen enriched natural gas under an alternating-current (AC) electric field and application of support vector machine (SVM) on electric field assisted combustion

Hao Duan, Zhijie Li, Bo Wang, Roopesh Kumar Mehra, S. Luo, Chuanguo Xu, Baigang Sun, Xi Wang, Fanhua Ma*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Present research study explores the flame propagation and combustion characteristics of premixed hydrogen enriched natural gas under a 100 Hz low-frequency alternating-current (AC) electric field with various hydrogen blend ratios (0–100%) and fuel–air equivalent ratios (1.0/0.8/0.6) in a constant volume combustion chamber. Results show that: (1) With the application of the electric field, although the maximum pressure increases slightly, the mean flame propagation speed increases and the initial/main duration shortens apparently. At a hydrogen blend ratio of 20% and an equivalent ratio of 0.8, the mean flame propagation speed increases by 10.06%, and the initial/main duration shortens by 13.46%/10.72%. (2) The promotion effect of the electric field on the flame propagation and combustion of the fuel decreases gradually as the hydrogen blend ratio increases. There exists a maximum value of hydrogen blend ratio that electric field makes no difference to the combustion process and the value increases with the excess air ratio. The electric field almost has no effect on the pure hydrogen fuel. (3) Adding the AC electric field can improve the combustion of lean burn conditions more effectively than that of higher equivalent ratio conditions. Meanwhile, the support vector machine is applied for the predication of the flame propagation and combustion characteristics under electric fields. The prediction performance of the optimal model obtained by the SVM method for the maximum pressure is very accurate, while that of the mean flame propagation speed is relatively limited.

Original languageEnglish
Article number115934
JournalFuel
Volume258
DOIs
Publication statusPublished - 15 Dec 2019

Keywords

  • Bi-ionic wind effect
  • Hydrogen enriched natural gas
  • Ionic wind effect
  • Lean burn
  • Support vector machine

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