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Development of a Reduced Chemical Reaction Mechanism for n-Pentanol Based on Combined Reduction Methods and Genetic Algorithm
[Image: see text] To gradually reduce the demand for fossil energy and accelerate energy transformation, alcohol fuels are being vigorously developed and utilized in the world. n-Pentanol as a common alcohol fuel has attracted increasing attention in recent years owing to its many advantages. In thi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948435/ https://www.ncbi.nlm.nih.gov/pubmed/33718735 http://dx.doi.org/10.1021/acsomega.1c00147 |
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author | Li, Songfeng Zhang, Chunhua Jing, Zheng Li, Yangyang Yin, Peng Cai, Panpan Lu, An |
author_facet | Li, Songfeng Zhang, Chunhua Jing, Zheng Li, Yangyang Yin, Peng Cai, Panpan Lu, An |
author_sort | Li, Songfeng |
collection | PubMed |
description | [Image: see text] To gradually reduce the demand for fossil energy and accelerate energy transformation, alcohol fuels are being vigorously developed and utilized in the world. n-Pentanol as a common alcohol fuel has attracted increasing attention in recent years owing to its many advantages. In this study, a reduced mechanism of n-pentanol containing 148 species and 575 reactions was established based on combined reduction methods including the direct relationship graph with error propagation, reaction pathway analysis, rate of production analysis, and temperature sensitivity analysis methods. Then, the reaction rate parameters were optimized using the nondominated sorting genetic algorithm II. A verification experiment for the oxidation of n-pentanol was conducted in a jet-stirred reactor (JSR) with gas chromatography-mass spectrometry. The main species mole fractions were quantitatively analyzed in the temperature range 700–1100 K, equivalence ratios of 0.5–2.0, and a pressure of 1 atm. Extensive validations were performed over wide experimental conditions by comparing the experimental data of the ignition delay time, species concentration profiles in the JSR, and laminar flame speed. It was found that the predicted values were in good agreement with the experimental values. Therefore, the reduced mechanism developed in this study can accurately predict the experimental results, which is capable of reasonably applying to the simulation of combustion behaviors of n-pentanol in internal combustion engines. |
format | Online Article Text |
id | pubmed-7948435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-79484352021-03-12 Development of a Reduced Chemical Reaction Mechanism for n-Pentanol Based on Combined Reduction Methods and Genetic Algorithm Li, Songfeng Zhang, Chunhua Jing, Zheng Li, Yangyang Yin, Peng Cai, Panpan Lu, An ACS Omega [Image: see text] To gradually reduce the demand for fossil energy and accelerate energy transformation, alcohol fuels are being vigorously developed and utilized in the world. n-Pentanol as a common alcohol fuel has attracted increasing attention in recent years owing to its many advantages. In this study, a reduced mechanism of n-pentanol containing 148 species and 575 reactions was established based on combined reduction methods including the direct relationship graph with error propagation, reaction pathway analysis, rate of production analysis, and temperature sensitivity analysis methods. Then, the reaction rate parameters were optimized using the nondominated sorting genetic algorithm II. A verification experiment for the oxidation of n-pentanol was conducted in a jet-stirred reactor (JSR) with gas chromatography-mass spectrometry. The main species mole fractions were quantitatively analyzed in the temperature range 700–1100 K, equivalence ratios of 0.5–2.0, and a pressure of 1 atm. Extensive validations were performed over wide experimental conditions by comparing the experimental data of the ignition delay time, species concentration profiles in the JSR, and laminar flame speed. It was found that the predicted values were in good agreement with the experimental values. Therefore, the reduced mechanism developed in this study can accurately predict the experimental results, which is capable of reasonably applying to the simulation of combustion behaviors of n-pentanol in internal combustion engines. American Chemical Society 2021-02-26 /pmc/articles/PMC7948435/ /pubmed/33718735 http://dx.doi.org/10.1021/acsomega.1c00147 Text en © 2021 The Authors. Published by American Chemical Society This is an open access article published under an ACS AuthorChoice License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Li, Songfeng Zhang, Chunhua Jing, Zheng Li, Yangyang Yin, Peng Cai, Panpan Lu, An Development of a Reduced Chemical Reaction Mechanism for n-Pentanol Based on Combined Reduction Methods and Genetic Algorithm |
title | Development of a Reduced Chemical Reaction Mechanism
for n-Pentanol Based on Combined Reduction
Methods and Genetic Algorithm |
title_full | Development of a Reduced Chemical Reaction Mechanism
for n-Pentanol Based on Combined Reduction
Methods and Genetic Algorithm |
title_fullStr | Development of a Reduced Chemical Reaction Mechanism
for n-Pentanol Based on Combined Reduction
Methods and Genetic Algorithm |
title_full_unstemmed | Development of a Reduced Chemical Reaction Mechanism
for n-Pentanol Based on Combined Reduction
Methods and Genetic Algorithm |
title_short | Development of a Reduced Chemical Reaction Mechanism
for n-Pentanol Based on Combined Reduction
Methods and Genetic Algorithm |
title_sort | development of a reduced chemical reaction mechanism
for n-pentanol based on combined reduction
methods and genetic algorithm |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948435/ https://www.ncbi.nlm.nih.gov/pubmed/33718735 http://dx.doi.org/10.1021/acsomega.1c00147 |
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