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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MDPI AG
2021-06-01
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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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format | Article |
id | doaj.art-a268ebbfe38d4998816d94f4913b807d |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T10:39:17Z |
publishDate | 2021-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
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 |
work_keys_str_mv | AT maulanagnugraha particulatematterreductioninresidualbiomasscombustion AT harwinsaptoadi particulatematterreductioninresidualbiomasscombustion AT muslikhinhidayat particulatematterreductioninresidualbiomasscombustion AT bengtandersson particulatematterreductioninresidualbiomasscombustion AT ronnieandersson particulatematterreductioninresidualbiomasscombustion |