☆ 4.7 Article

A comparative study of the chemical kinetics of methyl and ethyl propanoate

FUEL (2014)

Journal

FUEL

Volume 134, Issue -, Pages 26-38

Publisher

ELSEVIER SCI LTD

DOI: 10.1016/j.fuel.2014.05.035

Keywords

Methyl propanoate; Ethyl propanoate; Biodiesel; Pyrolysis; Shock tube

Categories

Energy & Fuels Engineering, Chemical

Funding

Clean Combustion Research Center at King Abdullah University of Science and Technology (KAUST)
CEFRC, an Energy Frontier Research Center - U.S. Department of Energy, Office of Science, Basic Energy Sciences [DE-SC0001198]
US Department of Energy, Office of Vehicle Technologies
Office of Basic Energy Sciences
US Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]

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Abstract

High temperature pyrolysis of methyl propanoate (CH3-CH2-C(=O)O-CH3) and ethyl propanoate (CH3-CH2-C(=O)O-CH2-CH3) was studied behind reflected shock waves at temperatures of 1250-1750 K and pressure of 1.5 atm. Species time-histories were recorded for CO, CO2, C2H4, and H2O using laser absorption methods over a test time of 1 ms. Pyrolysis of methyl propanoate (MP) appears to be faster than that of ethyl propanoate (EP) under the present experimental conditions, where CO and CO2 reach their plateau values faster for MP at a specific temperature and fuel concentration. Higher plateau values are reached for CO in case of MP while the CO2 levels are similar for the two ester fuels. Ethylene production is larger for EP due to the presence of six-centered ring elimination reaction that produces ethylene and propanoic acid. Very little H2O is produced during MP pyrolysis in contrast with appreciable H2O production from EP. Sensitivity and rate-of-production analyses were carried out to identify key reactions that affect the measured species profiles. Previous kinetic mechanisms of Yang et al. (2011) [1,2] and Metcalf et al. (2009, 2007) [3,4] were used as base models and then refined to propose a new MP/EP pyrolysis mechanism. (C) 2014 Elsevier Ltd. All rights reserved.

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Article Energy & Fuels

Multivariate time series prediction for CO2 concentration and flowrate of flue gas from biomass-fired power plants

Shiyuan Pan, Xiaodan Shi, Beibei Dong, Jan Skvaril, Haoran Zhang, Yongtu Liang, Hailong Li

Summary: Integrating CO2 capture with biomass-fired combined heat and power (bio-CHP) plants is a promising method for achieving negative emissions. This study develops a reliable data-driven model based on the Transformer architecture to predict the flowrate and CO2 concentration of flue gas in real time. The model validation shows high prediction accuracy, and the potential impact of meteorological parameters on model accuracy is assessed. The results demonstrate that the Transformer model outperforms other models and using near-infrared spectral data as input features improves the prediction accuracy.

FUEL (2024)

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