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Energy ans exergy analysis of biomass co-firing in pulverized coal power generation

Biomass co-firing with coal exhibits great potential for large scale utilization of biomass
energy in the near future. In the present work, energy and exergy analyses are carried out
for a co-firing based power generation system to investigate the impacts of biomass cofiring
on system performance and gaseous emissions of CO2, NOx, and SOx. The power
generation system considered is a typical pulverized coal-fired steam cycle system, while
four biomass fuels (rice husk, pine sawdust, chicken litter, and refuse derived fuel) and
two coals (bituminous coal and lignite) are chosen for the analysis. System performance
is evaluated in terms of important performance parameters for different combinations of
fuel at different co-firing conditions and for the two cases considered. The results indicate
that plant energy and exergy efficiencies decrease with increase of biomass proportion in
the fuel mixture. The extent of decrease in energy and exergy efficiencies depends on
specific properties of the chosen biomass types. The results also show that the increased
fraction of biomass significantly reduces the net CO2 emissions for all types of selected
biomass. However, gross CO2 emissions increase for all blends except bituminous
coal/refuse derived fuel blend, lignite/chicken litter blend and lignite/refuse derived fuel
blend. The reduction in NOx emissions depends on the nitrogen content of the biomass
fuel. Likewise, the decrease in SOx emissions depends on the sulphur content of the
biomass fuel. The most appropriate biomass in terms of NOx and SOx reduction is
sawdust because of its negligible nitrogen and sulphur contents. / UOIT

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OOSHDU.10155/152
Date01 April 2011
CreatorsMehmood, Shoaib
ContributorsReddy, Bale V., Rosen, Marc A.
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeThesis

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