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Performance of a domestic pellet boiler as a function of operational loads: Part-2

Tijdschriftbijdrage - Tijdschriftartikel

The aim of this study was to evaluate emissions from a domestic boiler (40kW) operating on
six commercially available agro-pellets at different operational loads. Emissions (CO, NOx, SOx,
dustIsokinetic and dustDINplus) varied as a function of pellets type and operational loads, however,
similar combustion efficiencies were observed among all experimental setups (?91%±2%). CO
emissions were insignificant with reed canary grass (RCG), pectin and straw pellets at nominal load;
however, at reduced load concerned pellets emitted 1.9, 4.0 and 7.5 times more CO than wood pellets.
Peat and straw pellets emitted the highest CO at nominal and reduced loads, respectively (4350.5 and
2227.9 mg Nm-3, respectively). Wood pellets emitted minimum NOx. Emissions of NOx were maximum
with straw and pectin pellets at nominal and reduced loads, respectively (3.3 and 4.5 times higher than
wood pellets, respectively).
The best performance of boiler (92.4 % efficiency and low emissions) was obtained with wood pellets,
followed by RCG and pectin pellets. However, wood pellets combustion emitted 1.7 and 2.0 fold higher
dustDINplus than RCG at nominal and reduced loads, respectively. Higher values of dusts were
reported for ductIsokinetic than dustDINplus for all experimental setups. Dust emissions were
maximum and minimum with sun flower husk (SFH) and RCG pellets, respectively. For agro-pellets,
differences in ash contents were more significant than difference in calorific values. The high ash
contents with low melting temperature make straw pellets less suitable for domestic applications. The
RCG and pectin pellets have advantages, having lower ash contents and emissions over others.
Tijdschrift: Biomass & Bioenergy
ISSN: 0961-9534
Issue: 1
Volume: 35
Pagina's: 272-279
Jaar van publicatie:2011
Trefwoorden:operational load, dust, isokinetic, agro-pellets, pelletboiler
  • ORCID: /0000-0001-8559-5661/work/71296553
  • Scopus Id: 78650579037