Particulate Matter Reduction in Residual Biomass Combustion

Counteracting emissions of particulate matter (PM) is an increasingly important goal in sustainable biomass combustion. This work includes a novel approach to investigate the PM emissions, originating from residual biomass combustion, at different combustion conditions in a lab-scale grate-fired fur...

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Main Authors: Maulana G. Nugraha, Harwin Saptoadi, Muslikhin Hidayat, Bengt Andersson, Ronnie Andersson
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/11/3341
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author Maulana G. Nugraha
Harwin Saptoadi
Muslikhin Hidayat
Bengt Andersson
Ronnie Andersson
author_facet Maulana G. Nugraha
Harwin Saptoadi
Muslikhin Hidayat
Bengt Andersson
Ronnie Andersson
author_sort Maulana G. Nugraha
collection DOAJ
description Counteracting emissions of particulate matter (PM) is an increasingly important goal in sustainable biomass combustion. This work includes a novel approach to investigate the PM emissions, originating from residual biomass combustion, at different combustion conditions in a lab-scale grate-fired furnace and includes in situ PM measurements by using on-line sensors. The interior furnace design allows installation of baffles to suppress the emissions by controlling the residence time. Moreover, the two-thermocouple method is used to measure the true gas temperature, and an on-line spatially resolved PM measurement method is developed to study the evolution of the PM concentration throughout the furnace for different experimental conditions thereby allowing accurate in-situ measurement of the PM reactivity. Experimental results and computational fluid dynamics (CFD) analyses are utilized in the current work to develop a kinetic model for reduction of particulate matter emissions in biomass combustion. The discrete particle model (DPM) is utilized in CFD analysis to improve the understanding of the particle temperature and residence time distribution which are difficult to quantify experimentally. By combining the experimental measurements of real soot formed during biomass combustion and information from the CFD analyses, a predictive kinetic model for PM<sub>10</sub> reduction in biomass combustion is successfully developed.
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spelling doaj.art-a268ebbfe38d4998816d94f4913b807d2023-11-21T23:03:22ZengMDPI AGEnergies1996-10732021-06-011411334110.3390/en14113341Particulate Matter Reduction in Residual Biomass CombustionMaulana G. Nugraha0Harwin Saptoadi1Muslikhin Hidayat2Bengt Andersson3Ronnie Andersson4Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, SwedenDepartment of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Jl. Grafika No.2, Yogyakarta 55281, IndonesiaDepartment of Chemical Engineering, Universitas Gadjah Mada, Jl. Grafika No.2, Yogyakarta 55281, IndonesiaDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, SwedenDepartment of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, SwedenCounteracting emissions of particulate matter (PM) is an increasingly important goal in sustainable biomass combustion. This work includes a novel approach to investigate the PM emissions, originating from residual biomass combustion, at different combustion conditions in a lab-scale grate-fired furnace and includes in situ PM measurements by using on-line sensors. The interior furnace design allows installation of baffles to suppress the emissions by controlling the residence time. Moreover, the two-thermocouple method is used to measure the true gas temperature, and an on-line spatially resolved PM measurement method is developed to study the evolution of the PM concentration throughout the furnace for different experimental conditions thereby allowing accurate in-situ measurement of the PM reactivity. Experimental results and computational fluid dynamics (CFD) analyses are utilized in the current work to develop a kinetic model for reduction of particulate matter emissions in biomass combustion. The discrete particle model (DPM) is utilized in CFD analysis to improve the understanding of the particle temperature and residence time distribution which are difficult to quantify experimentally. By combining the experimental measurements of real soot formed during biomass combustion and information from the CFD analyses, a predictive kinetic model for PM<sub>10</sub> reduction in biomass combustion is successfully developed.https://www.mdpi.com/1996-1073/14/11/3341biomasscombustionparticulate matter reductionPMgrate furnaceon-line measurement
spellingShingle Maulana G. Nugraha
Harwin Saptoadi
Muslikhin Hidayat
Bengt Andersson
Ronnie Andersson
Particulate Matter Reduction in Residual Biomass Combustion
Energies
biomass
combustion
particulate matter reduction
PM
grate furnace
on-line measurement
title Particulate Matter Reduction in Residual Biomass Combustion
title_full Particulate Matter Reduction in Residual Biomass Combustion
title_fullStr Particulate Matter Reduction in Residual Biomass Combustion
title_full_unstemmed Particulate Matter Reduction in Residual Biomass Combustion
title_short Particulate Matter Reduction in Residual Biomass Combustion
title_sort particulate matter reduction in residual biomass combustion
topic biomass
combustion
particulate matter reduction
PM
grate furnace
on-line measurement
url https://www.mdpi.com/1996-1073/14/11/3341
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AT harwinsaptoadi particulatematterreductioninresidualbiomasscombustion
AT muslikhinhidayat particulatematterreductioninresidualbiomasscombustion
AT bengtandersson particulatematterreductioninresidualbiomasscombustion
AT ronnieandersson particulatematterreductioninresidualbiomasscombustion