Daood, Syed Sheraz, Ottolini, Marc, Taylor, Scott, Ogunyinka, Ola, Hossain, Md. Moinul, Lu, Gang, Yan, Yong, Nimmo, William (2017) Additive technology for pollutant control and efficient coal combustion. Energy and Fuels, 31 (5). pp. 5581-5596. ISSN 0887-0624. E-ISSN 1520-5029. (doi:10.1021/acs.energyfuels.7b00017) (KAR id:61164)
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Official URL: http://dx.doi.org/10.1021/acs.energyfuels.7b00017 |
Abstract
High efficiency and low emissions from pf coal power stations has been the drive behind the development of present and future efficient coal combustion technologies. Upgrading coal, capturing CO2, reducing emission of NOx, SO2 and particulate matter, mitigating slagging, fouling and corrosion are the key initiatives behind these efficient coal technologies. This study focuses on a newly developed fuel additive (Silanite™) based efficient coal combustion technology, which addresses most of the aforementioned key points. Silanite™ a finely milled multi-oxide additive when mixed with the coal without the need to change the boiler installation has proven to increase the boiler efficiency, flame temperature with reduction in corrosion, NOx and particulate matter (dust) emissions. The process has been developed through bench, pilot (100kW) and full scale (233 MWth). The process has been found to have a number of beneficial effects that add up to a viable retrofit to existing power plant as demonstrated on the 233MWth boiler tests (under BS EN 12952-15:2003 standard)
Item Type: | Article |
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DOI/Identification number: | 10.1021/acs.energyfuels.7b00017 |
Subjects: |
T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing T Technology > TA Engineering (General). Civil engineering (General) > TA 418.9 Materials of special composition or structure T Technology > TP Chemical technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Gang Lu |
Date Deposited: | 01 Apr 2017 22:48 UTC |
Last Modified: | 04 Mar 2024 18:43 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/61164 (The current URI for this page, for reference purposes) |
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