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Evaluation of the performance of a multi-fuel domestic boiler with respect to the existing European standard and quality labels: Part-1.

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Emissions from a multi-fuel domestic boiler (40 kW), fired with nine different agro-biomass
pellets have been compared. The pellets include apple pomace (Malus domestica), reed canary grass
(Phalaris arundinacea), pectin waste from citrus shells (Citrus reticulata), sunflower husk (Helianthus
annuus), peat, two types of straw pellets and two types of wood pellets. The measurements of
emissions comprised carbon monoxide (CO), nitrogen oxides (NOx), unburned hydrocarbons (CxHy),
sulphur oxides (SOx) and flue dust mass concentration (by DINplus and isokinetic sampling methods).
Comparison of experimental emission values with the relevant quality labels (Blue Angel and Swan-
Mark) and standard (EN-303-5) showed that the boiler satisfied the emissions requirements of Blue
angel, Swan mark and EN-303-5 when using wood pellets-1 (except CO emission), reed canary grass
and citrus pectin as fuel at nominal load. The wood pellets-1 yield the highest boiler efficiency of 92.4
%. Dust emissions varied as a function of fine contents and elemental constituents of the pellets and
was the highest with sunflower husk. CO and CxHy emissions were maximum with peat pellets. NOx
emissions were below the concerned permissible values with all experimental pellets. Emissions of
NOx and SOx were found maximum with straw pellets.
For agro-pellets, statistical differences in ash contents were significant. High ash contents and low ash
melting temperature made straw pellets less suitable for domestic applications. Reed canary grass,
citrus pectin and apple pellets were the most suitable agro-pellets for small scale boilers with
reasonable less ash contents and less emissions as compared to others.
Tijdschrift: Biomass & Bioenergy
ISSN: 0961-9534
Issue: 1
Volume: 35
Pagina's: 80-89
Jaar van publicatie:2011
Trefwoorden:agro-pellets, multi-heat boiler, emissions, quality labels
  • ORCID: /0000-0001-8559-5661/work/71296572
  • Scopus Id: 78650579362