{"title":"Characterization of Ashes from Co-Firing Biochar with Coal under Pulverized-Fuel Conditions","authors":"Xixia Chen, Xiangpeng Gao and Hongwei Wu*, ","doi":"10.1021/acsengineeringau.2c00012","DOIUrl":null,"url":null,"abstract":"<p >This contribution presents results on the systematic characterization of the ashes from the co-combustion of biochar or its corresponding raw biomass and coal under pulverized-fuel conditions. A mallee bark (75–90 μm) was subjected to fast pyrolysis at 500 °C to prepare a biochar. The bark and the biochar were then co-fired with a Collie coal of identical size fraction in a laboratory-scale drop-tube furnace at 1400 °C in air, with biomass/biochar shares of 5, 20, and 40% expressed based on lower heating values. The produced ashes were collected using a cyclone and systematically characterized. The results demonstrate that the morphology of the ashes from the bark and the biochar is of irregular shape, whereas the coal ash particles are round. The ash particles follow a unimodal distribution, with an area-equivalent mode diameter of ∼5–12 μm, except for the ash from the bark combustion that also shows two larger peaks at ∼65 and ∼95 μm. The compositions of the ashes from the bark and the biochar are similar, both rich in Ca and Mg, whereas the coal ash contains dominantly Si, Al, Fe, and Ca. Under identical co-firing ratios, replacing the bark with the biochar results in higher contents of Mg and Ca in the ashes because of the enrichment of these elements in the biochar. The major minerals identified in the coal ash include mullite, quartz, and hematite, and those in the bark ash and the biochar ash are portlandite, magnesite, calcite, and lime. Up to ∼56% of Na, ∼41% of K, ∼56% of Mg, and ∼69% of Ca in the ashes can be recycled via water leaching, with negligible environmental concerns. These data are important in developing suitable strategies for the utilization and management of ashes derived from the co-combustion of biochar (or biomass) and coal.</p>","PeriodicalId":29804,"journal":{"name":"ACS Engineering Au","volume":"2 5","pages":"397–405"},"PeriodicalIF":4.3000,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acsengineeringau.2c00012","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Engineering Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsengineeringau.2c00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 2
Abstract
This contribution presents results on the systematic characterization of the ashes from the co-combustion of biochar or its corresponding raw biomass and coal under pulverized-fuel conditions. A mallee bark (75–90 μm) was subjected to fast pyrolysis at 500 °C to prepare a biochar. The bark and the biochar were then co-fired with a Collie coal of identical size fraction in a laboratory-scale drop-tube furnace at 1400 °C in air, with biomass/biochar shares of 5, 20, and 40% expressed based on lower heating values. The produced ashes were collected using a cyclone and systematically characterized. The results demonstrate that the morphology of the ashes from the bark and the biochar is of irregular shape, whereas the coal ash particles are round. The ash particles follow a unimodal distribution, with an area-equivalent mode diameter of ∼5–12 μm, except for the ash from the bark combustion that also shows two larger peaks at ∼65 and ∼95 μm. The compositions of the ashes from the bark and the biochar are similar, both rich in Ca and Mg, whereas the coal ash contains dominantly Si, Al, Fe, and Ca. Under identical co-firing ratios, replacing the bark with the biochar results in higher contents of Mg and Ca in the ashes because of the enrichment of these elements in the biochar. The major minerals identified in the coal ash include mullite, quartz, and hematite, and those in the bark ash and the biochar ash are portlandite, magnesite, calcite, and lime. Up to ∼56% of Na, ∼41% of K, ∼56% of Mg, and ∼69% of Ca in the ashes can be recycled via water leaching, with negligible environmental concerns. These data are important in developing suitable strategies for the utilization and management of ashes derived from the co-combustion of biochar (or biomass) and coal.
期刊介绍:
)ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)