{"title":"Pretreatments and model fitting to identify in-situ decomposition of fir wood constituents","authors":"Carmen Branca , Colomba Di Blasi","doi":"10.1016/j.joei.2025.101997","DOIUrl":null,"url":null,"abstract":"<div><div>Multi-step devolatilization mechanisms of lignocellulosic material are generally based on the summative contributions of pseudo-components owning a mathematical character. Herein innovative five-step kinetics is proposed for fir wood, based on natural components (two steps for hemicellulose and lignin-extractives and one step for cellulose). Klason isolation and severe torrefaction provide samples rich in lignin and extractives. Also, hot water washing or washing followed by mild torrefaction reduces or eliminates the overlap between hemicellulose and cellulose decomposition. TG-DTG curves of untreated and pretreated fir wood are measured for several heating rates and subjected to kinetic analysis by a model fitting method to estimate the kinetic parameters. The predicted in-situ decomposition of natural components/mixtures exhibits dynamics and biochar yields different from those of commercial or isolated compounds, whose mutual bonds and chemico-physical properties are altered by invasive chemical pretreatments.</div></div>","PeriodicalId":17287,"journal":{"name":"Journal of The Energy Institute","volume":"119 ","pages":"Article 101997"},"PeriodicalIF":5.6000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Energy Institute","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S174396712500025X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-step devolatilization mechanisms of lignocellulosic material are generally based on the summative contributions of pseudo-components owning a mathematical character. Herein innovative five-step kinetics is proposed for fir wood, based on natural components (two steps for hemicellulose and lignin-extractives and one step for cellulose). Klason isolation and severe torrefaction provide samples rich in lignin and extractives. Also, hot water washing or washing followed by mild torrefaction reduces or eliminates the overlap between hemicellulose and cellulose decomposition. TG-DTG curves of untreated and pretreated fir wood are measured for several heating rates and subjected to kinetic analysis by a model fitting method to estimate the kinetic parameters. The predicted in-situ decomposition of natural components/mixtures exhibits dynamics and biochar yields different from those of commercial or isolated compounds, whose mutual bonds and chemico-physical properties are altered by invasive chemical pretreatments.
期刊介绍:
The Journal of the Energy Institute provides peer reviewed coverage of original high quality research on energy, engineering and technology.The coverage is broad and the main areas of interest include:
Combustion engineering and associated technologies; process heating; power generation; engines and propulsion; emissions and environmental pollution control; clean coal technologies; carbon abatement technologies
Emissions and environmental pollution control; safety and hazards;
Clean coal technologies; carbon abatement technologies, including carbon capture and storage, CCS;
Petroleum engineering and fuel quality, including storage and transport
Alternative energy sources; biomass utilisation and biomass conversion technologies; energy from waste, incineration and recycling
Energy conversion, energy recovery and energy efficiency; space heating, fuel cells, heat pumps and cooling systems
Energy storage
The journal''s coverage reflects changes in energy technology that result from the transition to more efficient energy production and end use together with reduced carbon emission.