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Distribution of Potassium, Chlorine, and Sulfur between Solid and Vapor Phases during Combustion of Wood Chips and Coal
Abstract
Results are presented on the distribution of some (inorganic) elements between the solid and vapor phases in a circulating fluidized bed boiler during combustion of wood chips and coal. Samples were taken from all input and output solid material streams as well as from the gas phase at different locations in the boiler. Deposits on a specially designed deposition probe were also measured. An explanation is presented concerning the release and fate of potassium, chlorine, and sulfur during biomass combustion. The explanation is supported by the results from an additional test where hydrogen chloride was added to the combustion chamber. One of the most important factors affecting the reactivity of potassium toward chlorine in the combustion chamber appears to be the moisture content of the fuel.
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In the citing paper
“If chlorine is not present, potassium may form hydroxide when released from the fuel 2,14 and, in fluidized beds, it may also react with the bed material. 15”
From Potassium, Chlorine, and Sulfur in Ash, Particles, Deposits, and Corrosion during Wood Combustion in a Circulating Fluidized-Bed Boiler (2007) · cites this paper as [14]
In the citing paper
“Therefore, it is likely that initial potassium release takes place as KOH or other potassiumcontaining compounds rather than as KCl. 14”
From Potassium, Chlorine, and Sulfur in Ash, Particles, Deposits, and Corrosion during Wood Combustion in a Circulating Fluidized-Bed Boiler (2007) · cites this paper as [14]
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Metadata
- Authors
- Westberg, H. M., Byström, M., & Leckner, B.
- Affiliations
- Department of Energy Conversion, Chalmers University of Technology, Göteborg, Sweden, and Department of Applied Science, Mid Sweden University, Härnösand, Sweden
- Mid Sweden University (SE)
- ORCID
- Leckner, Bo
- Venue
- Energy & Fuels
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-10-17
- Volume
- 17
- Issue
- 1
- Pages
- 18-28
- ISSN
- 0887-0624 (ISSN-L)
- 1520-5029
- OpenAlex
- W2056895757
- Cited by
- 105
- References
- 18
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1 · 2022: 4 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 9 · 2017: 3 · 2016: 7 · 2015: 9 · 2014: 6 · 2013: 3 · 2012: 8
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy & Fuels (publishedVersion)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Energy › Fuel Technology › Thermochemical Biomass Conversion Processes
- Physical Sciences › Engineering › Mechanical Engineering › Coal Combustion and Slurry Processing
- Physical Sciences › Earth and Planetary Sciences › Geochemistry and Petrology › Coal and Its By-products
- Keywords
- potassium, chlorine, sulfur, biomass combustion, wood chips, coal combustion, circulating fluidized bed boiler, hydrogen chloride, fuel moisture content
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.