Qian Xie , Fahang Liu , Yu Zhong , Changhai Li , Yanming Ding
{"title":"利用热重/傅立叶变换红外分析和洗牌复合进化算法分析去皮棉秆的热降解过程","authors":"Qian Xie , Fahang Liu , Yu Zhong , Changhai Li , Yanming Ding","doi":"10.1016/j.biombioe.2025.107853","DOIUrl":null,"url":null,"abstract":"<div><div>Cotton is one of the most important crops globally and is widely planted. This study systematically investigated the pyrolysis characteristics and product distribution of peeled cotton stalks using thermogravimetry/Fourier transform infrared analysis (TG-FTIR) at heating rates ranging from 5 to 60 K/min. Kinetic parameters were estimated using the two model-free methods, and the results revealed that the activation energy for pyrolysis varied between 182.97 and 213.11 kJ/mol. The three-component parallel reaction model, combined with the Shuffled Complex Evolution algorithm, was applied to perform inverse modeling of the experimental data. The corresponding exact kinetic parameters for independent hemicellulose, cellulose and lignin were obtained. The results revealed that the predicted values based on the optimized kinetic parameters were in good agreement with the experimental data. Ultimately, the blind prediction of the experimental curves at extra heating rates further confirmed the precision and suitability of the optimized kinetic parameters. The FTIR analysis indicated that the absorption spectra related to the peaks remained largely consistent at various heating rates. The evolution patterns of the gas components aligned with the trends observed in the derivative thermogravimetric curves, with the produced gases in the following order: CO<sub>2</sub>, formaldehyde, methanol, CO, and finally methane.</div></div>","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"198 ","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thermal degradation of peeled cotton stalk with thermogravimetry/fourier transform infrared analysis and shuffled complex evolution algorithm\",\"authors\":\"Qian Xie , Fahang Liu , Yu Zhong , Changhai Li , Yanming Ding\",\"doi\":\"10.1016/j.biombioe.2025.107853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cotton is one of the most important crops globally and is widely planted. This study systematically investigated the pyrolysis characteristics and product distribution of peeled cotton stalks using thermogravimetry/Fourier transform infrared analysis (TG-FTIR) at heating rates ranging from 5 to 60 K/min. Kinetic parameters were estimated using the two model-free methods, and the results revealed that the activation energy for pyrolysis varied between 182.97 and 213.11 kJ/mol. The three-component parallel reaction model, combined with the Shuffled Complex Evolution algorithm, was applied to perform inverse modeling of the experimental data. The corresponding exact kinetic parameters for independent hemicellulose, cellulose and lignin were obtained. The results revealed that the predicted values based on the optimized kinetic parameters were in good agreement with the experimental data. Ultimately, the blind prediction of the experimental curves at extra heating rates further confirmed the precision and suitability of the optimized kinetic parameters. The FTIR analysis indicated that the absorption spectra related to the peaks remained largely consistent at various heating rates. The evolution patterns of the gas components aligned with the trends observed in the derivative thermogravimetric curves, with the produced gases in the following order: CO<sub>2</sub>, formaldehyde, methanol, CO, and finally methane.</div></div>\",\"PeriodicalId\":253,\"journal\":{\"name\":\"Biomass & Bioenergy\",\"volume\":\"198 \",\"pages\":\"\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomass & Bioenergy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0961953425002648\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURAL ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomass & Bioenergy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0961953425002648","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
Thermal degradation of peeled cotton stalk with thermogravimetry/fourier transform infrared analysis and shuffled complex evolution algorithm
Cotton is one of the most important crops globally and is widely planted. This study systematically investigated the pyrolysis characteristics and product distribution of peeled cotton stalks using thermogravimetry/Fourier transform infrared analysis (TG-FTIR) at heating rates ranging from 5 to 60 K/min. Kinetic parameters were estimated using the two model-free methods, and the results revealed that the activation energy for pyrolysis varied between 182.97 and 213.11 kJ/mol. The three-component parallel reaction model, combined with the Shuffled Complex Evolution algorithm, was applied to perform inverse modeling of the experimental data. The corresponding exact kinetic parameters for independent hemicellulose, cellulose and lignin were obtained. The results revealed that the predicted values based on the optimized kinetic parameters were in good agreement with the experimental data. Ultimately, the blind prediction of the experimental curves at extra heating rates further confirmed the precision and suitability of the optimized kinetic parameters. The FTIR analysis indicated that the absorption spectra related to the peaks remained largely consistent at various heating rates. The evolution patterns of the gas components aligned with the trends observed in the derivative thermogravimetric curves, with the produced gases in the following order: CO2, formaldehyde, methanol, CO, and finally methane.
期刊介绍:
Biomass & Bioenergy is an international journal publishing original research papers and short communications, review articles and case studies on biological resources, chemical and biological processes, and biomass products for new renewable sources of energy and materials.
The scope of the journal extends to the environmental, management and economic aspects of biomass and bioenergy.
Key areas covered by the journal:
• Biomass: sources, energy crop production processes, genetic improvements, composition. Please note that research on these biomass subjects must be linked directly to bioenergy generation.
• Biological Residues: residues/rests from agricultural production, forestry and plantations (palm, sugar etc), processing industries, and municipal sources (MSW). Papers on the use of biomass residues through innovative processes/technological novelty and/or consideration of feedstock/system sustainability (or unsustainability) are welcomed. However waste treatment processes and pollution control or mitigation which are only tangentially related to bioenergy are not in the scope of the journal, as they are more suited to publications in the environmental arena. Papers that describe conventional waste streams (ie well described in existing literature) that do not empirically address ''new'' added value from the process are not suitable for submission to the journal.
• Bioenergy Processes: fermentations, thermochemical conversions, liquid and gaseous fuels, and petrochemical substitutes
• Bioenergy Utilization: direct combustion, gasification, electricity production, chemical processes, and by-product remediation
• Biomass and the Environment: carbon cycle, the net energy efficiency of bioenergy systems, assessment of sustainability, and biodiversity issues.