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Particulate Matter Reduction in Residual Biomass Combustion

Author

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  • Maulana G. Nugraha

    (Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden
    Department of Chemical Engineering, Universitas Gadjah Mada, Jl. Grafika No.2, Yogyakarta 55281, Indonesia)

  • Harwin Saptoadi

    (Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Jl. Grafika No.2, Yogyakarta 55281, Indonesia)

  • Muslikhin Hidayat

    (Department of Chemical Engineering, Universitas Gadjah Mada, Jl. Grafika No.2, Yogyakarta 55281, Indonesia)

  • Bengt Andersson

    (Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden)

  • Ronnie Andersson

    (Department of Chemistry and Chemical Engineering, Chalmers University of Technology, 41296 Gothenburg, Sweden)

Abstract

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 10 reduction in biomass combustion is successfully developed.

Suggested Citation

  • Maulana G. Nugraha & Harwin Saptoadi & Muslikhin Hidayat & Bengt Andersson & Ronnie Andersson, 2021. "Particulate Matter Reduction in Residual Biomass Combustion," Energies, MDPI, vol. 14(11), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3341-:d:570084
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    References listed on IDEAS

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    1. Růžičková, Jana & Raclavská, Helena & Juchelková, Dagmar & Kucbel, Marek & Raclavský, Konstantin & Švédová, Barbora & Šafář, Michal & Pfeifer, Christoph & Hrbek, Jitka, 2022. "Organic compounds in the char deposits characterising the combustion of unauthorised fuels in residential boilers," Energy, Elsevier, vol. 257(C).
    2. Biagio Morrone, 2022. "Residual Biomass Conversion to Bioenergy," Energies, MDPI, vol. 15(16), pages 1-3, August.
    3. Michał Kozioł & Joachim Kozioł, 2023. "Impact of Primary Air Separation in a Grate Furnace on the Resulting Combustion Products," Energies, MDPI, vol. 16(4), pages 1-16, February.
    4. Natalia Cid & Juan Jesús Rico & Raquel Pérez-Orozco & Ana Larrañaga, 2021. "Experimental Study of the Performance of a Laboratory-Scale ESP with Biomass Combustion: Discharge Electrode Disposition, Dynamic Control Unit and Aging Effect," Sustainability, MDPI, vol. 13(18), pages 1-12, September.

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