During
the
bubbling
fluidized
bed
polymer
pyrolysis
process,
agglomeration
of
inert
materials
frequently
leads
to
defluidization.
To
simulate
this
phenomenon,
a
novel
time-driven
Monte
Carlo
model
is
presented,
which
comprises
two
main
stages:
layering
period
and
period.
The
simulation
results
are
then
compared
with
experimental
data
from
literature.
From
qualitative
analysis
perspective,
effectively
replicate
trends
in
defluidization
times
under
various
operating
conditions.
In
terms
quantitative
analysis,
predicted
exhibit
good
consistency
measured
values
(R2=0.804).
Furthermore,
information
extracted
simulation,
hard
obtain
experimentally,
applied
for
further
discussion.
It
allows
explore
composition
at
moment
different
Additionally,
comparison
particle
size
distributions
same
operational
time
conditions
performed.
general,
developed
provides
robust
foundation
extending
its
application
other
processes
as
well
co-pyrolysis
processes.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 11137 - 11137
Published: Dec. 19, 2024
The
great
utility
that
plastics
generate
for
society
has
generated
a
large
amount
of
waste,
producing
tons
garbage
from
this
material
damages
the
ecosystem,
human
health,
and
farmland.
Likewise,
issue
absence
electricity
in
low-income
areas
is
critical
society.
This
research
proposes
novel
solution
to
simultaneously
solve
these
two
problems,
which,
through
single-chamber
microbial
fuel
cells,
introduce
plastic
waste
fungus
Paecilomyces.
cells
(MFCs)
showed
maximum
electric
current
0.547
±
0.185
mA
with
peak
voltage
0.575
0.106
V
on
day
36;
day,
MFCs
operated
pH
6.524
0.360
electrical
conductivity
264.847
6.395
mS/cm.
These
results
demonstrate
potential
system
addressing
scarcity
areas.
chemical
oxygen
demand
was
also
reduced
by
85.47%,
indicating
system’s
ability
degrade
waste.
power
density
calculated
36
0.0624
0.0053
mW/cm2
at
0.0052
mA/cm2
an
internal
resistance
55.254
7.583
Ω.
reducing
action
demonstrated
FTIR
transmittance
spectrum
because
characteristic
peaks
(3378,
2854–2911,
1642,
1472,
720
cm−1)
suffered
reductions
final
state,
micrographs
surfaces
lifting
layers
formation
irregular
structures
decrease
thickness
sample
139.66
4.19
µm.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(23), P. 16462 - 16462
Published: Nov. 30, 2023
Post-consumer
soft
plastics
often
face
inadequate
management
practices,
posing
threats
to
both
human
life
and
the
environment
while
also
leading
loss
of
valuable
recyclable
materials
when
not
recycled.
Traditional
mechanical
recycling
methods
are
unsuitable
for
waste
due
their
thin
flimsy
nature.
This
study
presents
an
effective,
user-friendly
process
converting
into
new
products,
generating
value,
expediting
collection
without
need
pelletization.
The
outcome
this
was
compared
with
products
derived
from
traditional
commercially
available
alternatives
through
various
analytical
techniques
including
tensile
testing,
Fourier
transform
infrared
spectroscopy,
differential
scanning
calorimetry,
X-ray
diffractometry,
electron
microscopy,
energy-dispersive
spectroscopy.
findings
suggest
that
can
be
transformed
flexible
sheets
significant
alterations
properties.
In
particular,
ultimate
strength
samples
recycled
using
developed
in
were
found
25.9
±
0.4
25.2
0.8
MPa,
respectively,
surpassing
by
nearly
15
MPa.
Additionally,
a
cycle
assessment
revealed
producing
innovative
approach,
rather
than
virgin
polymer,
could
reduce
fossil
fuel
depletion
global
warming
99.4%
94.6%,
respectively.
signifies
potential
mitigate
environmental
pollution
produce
high-quality
exclusively
100%
plastics.
During
the
bubbling
fluidized
bed
polymer
pyrolysis
process,
agglomeration
of
inert
materials
frequently
leads
to
defluidization.
To
simulate
this
phenomenon,
a
novel
time-driven
Monte
Carlo
model
is
presented,
which
comprises
two
main
stages:
layering
period
and
period.
The
simulation
results
are
then
compared
with
experimental
data
from
literature.
From
qualitative
analysis
perspective,
effectively
replicate
trends
in
defluidization
times
under
various
operating
conditions.
In
terms
quantitative
analysis,
predicted
exhibit
good
consistency
measured
values
(R2=0.804).
Furthermore,
information
extracted
simulation,
hard
obtain
experimentally,
applied
for
further
discussion.
It
allows
explore
composition
at
moment
different
Additionally,
comparison
particle
size
distributions
same
operational
time
conditions
performed.
general,
developed
provides
robust
foundation
extending
its
application
other
processes
as
well
co-pyrolysis
processes.
