This work demonstrates the feasibility
of a robust and effective
control of the emissions of particulate matter (PM) and heavy metals
(HMs) from olive tree pruning combustion, as well as from its blends
with two customary local components (a composted fraction of sewage
sludge and a fraction of municipal solid waste with a high plastic
content), in an approximated proportion of 50/50 (% w.t) to mimic
the seasonal supply variability. The study was carried out during
a 5 weeks experimental campaign in a 1MWth fluidized bed combustor.
The combustor was equipped with a hybrid filtration system, consisting
of an electrostatic precipitator and a bag filter module serially
connected, for an enhanced control of the PM emissions when dealing
with a realistic suite of fuel blends. Raw aerosol showed high concentrations
in both PM and HMs, substantially dependent on the blend. However,
the hybrid filter (HF) showed a good performance irrespective of these
variable loads, leading to emission concentrations below 7 mg/Nm3 (max. 7% O2, total basis), ensuring compliance
with the probable emission limit values. Both mass and number filtration
efficiencies ranged within 95–99%. The fractional efficiency
has been measured in quasi-real time, thus enabling an assessment
of the suitable operating conditions, as well as an evaluation of
the reliability of HF operation. Removal efficiency for HMs was obtained
and discriminated by size; results show differences among the elements
considered, reflecting the differences in the chemical distribution
over the size of the raw aerosol.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.