Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 51 min ago
Peer-reviewedCC BY 4.0Fuel

Prediction of flammable range of benzene/N2/O2/H2O mixtures using detailed kinetics

Abstract

This research introduces an innovative approach to predict benzene Lower and Upper Flammability Limits (LFL and UFL). The focus of this study is on predicting the flammable range of benzene/air/steam mixtures utilizing a freely-propagating flame method, incorporating an optically-thin approximation to model soot radiation. The investigation delves into the consequences of dilution by inert gases (N2 and steam), along with the impacts of pressure and initial temperature. Soot is recognized as essential not only for its role in flame chemistry under rich conditions but also for its influence on radiation, thereby affecting the flammable region of hydrocarbons especially at higher temperatures and pressures. To address the significant formation of soot during benzene combustion near the UFL, the study integrates the kinetic model for benzene combustion with a recently developed soot mechanism based on the discrete sectional method, which has been validated extensively against a large database of sooting flames, encompassing various hydrocarbons, including benzene. To limit the computational effort associated with predicting flammability limits, a skeletal version (with 136 species and 4788 reactions) of the overall kinetic model covering benzene combustion and soot formation is developed and validated in this work. The kinetic model was first validated against new and existing benzene flame speed data at different pressures and initial temperatures. Then it was used to investigate the flammable range. The model predictions align remarkably well with the available experimental data in the literature for the LFL, for the effect of dilution with inert gases, and with some experimental measurements for the UFL. An extensive review of these experimental data revealed significant uncertainty in characterizing benzene’s UFL experimentally, both in terms of absolute value and effect of initial temperature. The comprehensive model predictions provide valuable insights, enabling differentiation among various UFL datasets for benzene.

Related

  1. β-Sitosterol–Naringenin Co-Loaded Nanophytosomes: Encapsulation, Compound-Specific Release Kinetics, Machine Learning-Assisted Release Prediction, and Cell-Dependent Anticancer Activity
    Tabarek H. Mahmood, Ali Al-Samydai, Firas F. Al-Mamoori +11
    International Journal of Molecular SciencesPeer-reviewedCC BY 4.0Materials & polymersCrossref
  2. Isolable silyl- and germyl-thioketones dearomatize their own benzene rings at room temperature
    Ryosuke Masuda, Taisei Kuroki, Takumu Saito +1
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  3. Ladderane as a Saturated Bioisostere of ortho-Benzene
    Oleksandr P. Datsenko, Oleh Shablykin, Yurii Mlynchenko +8
    ChemRxivPreprintLicence not statedGeneral chemistryChemRxiv
  4. H-Bonding-Induced Repulsion Between Small Groups Toward a Highly Puckered Benzene.
    Chaofeng Zhao, Qi Sun, Ning Ding +4
    Advanced science (Weinheim, Baden-Wurttemberg, Germany)Peer-reviewedCC BYFull textPhysical chemistryEurope PMC
  5. AlCl3-Mediated Arylation of Dimethyl 2-Arylcyclopropane-1,1dicarboxylates with Benzene: A Facile Approach to Dimethyl 2-(2-Aryl-2-phenylethyl)malonates
    Aidar B. Yulbarisov, Tat’yana P. Zosim, Rita N. Kadikova +1
    ChemRxivPreprintCC BYFull textOrganic chemistryChemRxiv
BibTeX
@article{frassoldati2026prediction,
  title = {{Prediction of flammable range of benzene/N2/O2/H2O mixtures using detailed kinetics}},
  author = {Alessio Frassoldati and Alaa Hamadi and Alessandro Stagni and Andrea Nobili and Alberto Cuoci and Tiziano Faravelli and Andrea Comandini and Nabiha Chaumeix},
  journal = {Fuel},
  year = {2026},
  month = sep,
  doi = {10.1016/j.fuel.2024.131963},
  url = {https://cnrs.hal.science/hal-04627997v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Prediction of flammable range of benzene/N2/O2/H2O mixtures using detailed kinetics
AU  - Alessio Frassoldati
AU  - Alaa Hamadi
AU  - Alessandro Stagni
AU  - Andrea Nobili
AU  - Alberto Cuoci
AU  - Tiziano Faravelli
AU  - Andrea Comandini
AU  - Nabiha Chaumeix
PY  - 2026
DA  - 2026/09/24
JO  - Fuel
DO  - 10.1016/j.fuel.2024.131963
UR  - https://cnrs.hal.science/hal-04627997v1
AB  - This research introduces an innovative approach to predict benzene Lower and Upper Flammability Limits (LFL and UFL). The focus of this study is on predicting the flammable range of benzene/air/steam mixtures utilizing a freely-propagating flame method, incorporating an optically-thin approximation to model soot radiation. The investigation delves into the consequences of dilution by inert gases (N2 and steam), along with the impacts of pressure and initial temperature. Soot is recognized as essential not only for its role in flame chemistry under rich conditions but also for its influence on radiation, thereby affecting the flammable region of hydrocarbons especially at higher temperatures and pressures. To address the significant formation of soot during benzene combustion near the UFL, the study integrates the kinetic model for benzene combustion with a recently developed soot mechanism based on the discrete sectional method, which has been validated extensively against a large database of sooting flames, encompassing various hydrocarbons, including benzene. To limit the computational effort associated with predicting flammability limits, a skeletal version (with 136 species and 4788 reactions) of the overall kinetic model covering benzene combustion and soot formation is developed and validated in this work. The kinetic model was first validated against new and existing benzene flame speed data at different pressures and initial temperatures. Then it was used to investigate the flammable range. The model predictions align remarkably well with the available experimental data in the literature for the LFL, for the effect of dilution with inert gases, and with some experimental measurements for the UFL. An extensive review of these experimental data revealed significant uncertainty in characterizing benzene’s UFL experimentally, both in terms of absolute value and effect of initial temperature. The comprehensive model predictions provide valuable insights, enabling differentiation among various UFL datasets for benzene.
SN  - 0016-2361
SN  - 1873-7153
ER  -