Biofuels,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 19
Published: Jan. 13, 2025
The
study
examined
the
extraction
of
bio-oil
from
pumpkin
seed
and
compared
optimization
production
Fatty
acid
ethyl
ester
(FAEE)
via
transesterification
process
using
Response
Surface
Methodology
(RSM),
Artificial
Neural
Network
(ANN).
This
research
uniquely
highlights
utilization
oil,
a
non-edible
sustainable
feedstock,
combines
RSM
ANN
methodologies
to
enhance
precision
biodiesel
optimization.
experiment
was
conducted
at
60
min
reaction
time
under
varying
temperature
ranges,
catalyst
weight,
stirrer
speed,
ethanol-oil
molar
ratio.
optimized
conditions
for
maximum
were
determined
be
1.3%
concentration,
6:1
ethanol-to-oil
ratio,
50
°C
temperature,
550
rpm
resulting
in
90%
yield.
statistical
evaluation
metrics
confirmed
neural
network
predictions
compromised
80%
yield
due
limitations
such
as
insufficient
data
size
inherent
complexity
model.
biofuel
produced
satisfied
ASTM
specifications
peculiar
environmental
applications.
mechanistic
parameters
revealed
variations
thermodynamic
stability
feasibility
across
orders
(zero,
pseudo-first,
pseudo-second),
emphasizing
temperature-dependent
effects
kinetic
pathway
on
yield,
design,
efficiency.
Energies,
Journal Year:
2024,
Volume and Issue:
17(2), P. 523 - 523
Published: Jan. 22, 2024
This
paper
presents
research
findings
on
the
pelleting
process
of
pine
sawdust
using
bakery
waste
in
a
pelletizer.
The
addition
(white
wheat–rye
bread,
whole-grain
rye
and
pumpkin
bread)
to
had
beneficial
effect
kinetic
strength
pellets
obtained,
an
increase
up
approximately
three
percentage
points.
density
with
also
increased,
while
bulk
decreased.
positive
power
demand
It
was
reduced
from
3.08%
(at
10%
white
22.18%
20%
bread),
compared
compacting
pure
sawdust.
In
addition,
all
containing
lower
energy
yield
(EY)
determined
based
heating
value
inputs.
index
by
53
Wh·kg−1
for
bread.
greatest
reduction,
other
hand,
173
pellets,
each
case,
share
additives
resulted
decrease
obtained.
smallest
reduction
EY
found
when
bread
used
as
additive
(from
133
Wh·kg−1).
Considering
parameters
analyzed
characterizing
it
concluded
that
residues
pelletized
should
not
exceed
10%.
Further
increases
proportion
did
relative
benefits,
due
deterioration
characteristics
Biofuels,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 19
Published: Jan. 13, 2025
The
study
examined
the
extraction
of
bio-oil
from
pumpkin
seed
and
compared
optimization
production
Fatty
acid
ethyl
ester
(FAEE)
via
transesterification
process
using
Response
Surface
Methodology
(RSM),
Artificial
Neural
Network
(ANN).
This
research
uniquely
highlights
utilization
oil,
a
non-edible
sustainable
feedstock,
combines
RSM
ANN
methodologies
to
enhance
precision
biodiesel
optimization.
experiment
was
conducted
at
60
min
reaction
time
under
varying
temperature
ranges,
catalyst
weight,
stirrer
speed,
ethanol-oil
molar
ratio.
optimized
conditions
for
maximum
were
determined
be
1.3%
concentration,
6:1
ethanol-to-oil
ratio,
50
°C
temperature,
550
rpm
resulting
in
90%
yield.
statistical
evaluation
metrics
confirmed
neural
network
predictions
compromised
80%
yield
due
limitations
such
as
insufficient
data
size
inherent
complexity
model.
biofuel
produced
satisfied
ASTM
specifications
peculiar
environmental
applications.
mechanistic
parameters
revealed
variations
thermodynamic
stability
feasibility
across
orders
(zero,
pseudo-first,
pseudo-second),
emphasizing
temperature-dependent
effects
kinetic
pathway
on
yield,
design,
efficiency.
