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Mitigation of particulate matter emissions from co-combustion of rice husk with cotton stalk or cornstalk
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2022 (English)In: Renewable energy, ISSN 0960-1481, E-ISSN 1879-0682, Vol. 190, p. 893-902Article in journal (Refereed) Published
Abstract [en]

PM emission is one of key issues in the biomass combustion of heat and power plants. In this paper, rice husk (RH) was co-combusted with cotton stalk (CSK) or cornstalk (CS) to study the PM emission behaviors. The experimental results show that the addition decreases PM1 yields by 20.13–54.65% for CSK and 45.99–76.70% for CS in comparison to the CSK or CS combustion alone. A strong synergistic effect exists during the co-combustion process, which can appreciably inhibit the generation of fine particulate matter. The synergistic effect is caused by the physical dilution effect, and mainly by the reaction between alkali metals species in cornstalk/cotton stalk ash and Si-containing species in rice husk ash to inhibit the volatilization of alkali metals. However, the PM reduction degree is also affected by the ash chemistry, especially the Si/(Ca + Mg) ratio, as confirmed by the higher synergistic effect of rice husk/cornstalk compared to rice husk/cotton stalk. The results suggest that co-combustion of biomass with high Si-containing rice husk is a promising approach to reduce PM1 emissions during biomass co-combustion. 

Place, publisher, year, edition, pages
2022. Vol. 190, p. 893-902
Keywords [en]
Biomass, Co-combustion, Particulate matter emission, Rice husk
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:miun:diva-44862DOI: 10.1016/j.renene.2022.03.157ISI: 000793607000011Scopus ID: 2-s2.0-85127737181OAI: oai:DiVA.org:miun-44862DiVA, id: diva2:1652383
Available from: 2022-04-19 Created: 2022-04-19 Last updated: 2022-05-30Bibliographically approved

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Zhang, Wennan

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf