{"title":"Comprehensive reevaluation of acetaldehyde chemistry and the underlying uncertainties","authors":"Xinrui Ren, Hongqing Wu, Ruoyue Tang, Yanqing Cui, Mingrui Wang, Song Cheng","doi":"arxiv-2409.04015","DOIUrl":null,"url":null,"abstract":"Understanding the combustion chemistry of acetaldehyde is crucial to\ndeveloping robust and accurate combustion chemistry models for practical fuels,\nespecially for biofuels. This study aims to reevaluate the important rate and\nthermodynamic parameters for acetaldehyde combustion chemistry. The rate\nparameters of 79 key reactions are reevaluated using more than 100,000 direct\nexperiments and quantum chemistry computations from >900 studies, and the\nthermochemistry ({\\Delta}hf(298K), s0(298K) and cp) of 24 key species are\nreevaluated based on the ATCT database, the NIST Chemistry WebBook, the TMTD\ndatabase, and 35 published chemistry models. The updated parameters are\nincorporated into a recent acetaldehyde chemistry model, which is further\nassessed against available fundamental experiments (123 ignition delay times\nand 385 species concentrations) and existing chemistry models, with clearly\nbetter performance obtained in the high-temperature regime. Sensitivity and\nflux analyses further highlight the insufficiencies of previous models in\nrepresenting the key pathways, particularly the branching ratios of\nacetaldehyde- and formaldehyde-consuming pathways. Temperature-dependent and\ntemperature-independent uncertainties are statistically evaluated for kinetic\nand thermochemical parameters, respectively, where the large differences\nbetween the updated and the original model parameters reveal the necessity of\nreassessment of kinetic and thermochemical parameters completely based on\ndirect experiments and theoretical calculations for rate and thermodynamic\nparameters.","PeriodicalId":501369,"journal":{"name":"arXiv - PHYS - Computational Physics","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.04015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding the combustion chemistry of acetaldehyde is crucial to
developing robust and accurate combustion chemistry models for practical fuels,
especially for biofuels. This study aims to reevaluate the important rate and
thermodynamic parameters for acetaldehyde combustion chemistry. The rate
parameters of 79 key reactions are reevaluated using more than 100,000 direct
experiments and quantum chemistry computations from >900 studies, and the
thermochemistry ({\Delta}hf(298K), s0(298K) and cp) of 24 key species are
reevaluated based on the ATCT database, the NIST Chemistry WebBook, the TMTD
database, and 35 published chemistry models. The updated parameters are
incorporated into a recent acetaldehyde chemistry model, which is further
assessed against available fundamental experiments (123 ignition delay times
and 385 species concentrations) and existing chemistry models, with clearly
better performance obtained in the high-temperature regime. Sensitivity and
flux analyses further highlight the insufficiencies of previous models in
representing the key pathways, particularly the branching ratios of
acetaldehyde- and formaldehyde-consuming pathways. Temperature-dependent and
temperature-independent uncertainties are statistically evaluated for kinetic
and thermochemical parameters, respectively, where the large differences
between the updated and the original model parameters reveal the necessity of
reassessment of kinetic and thermochemical parameters completely based on
direct experiments and theoretical calculations for rate and thermodynamic
parameters.