Revista de Gestão e Secretariado (Management and Administrative Professional Review),
Journal Year:
2023,
Volume and Issue:
14(9), P. 14971 - 14991
Published: Sept. 14, 2023
The
search
for
environmentally
correct
fuels
has
been
gaining
momentum/prominence
in
scientific
research,
example,
using
oils
or
fats
of
animal/vegetable
origin
and
commercial/residual
oils.
These
consist
primarily
free
fatty
acids
with
high
energy
power
can
be
converted
into
acid
esters
(biodiesel)
highly
efficient
recyclable
heterogeneous
catalysts.
Among
the
catalysts
most
used
conversion
biodiesel,
two
are
worth
mentioning:
MoO3
ferrospinels.
first
is
because
it
contains
its
structure,
especially
orthorhombic,
acidic
active
sites
Lewis
Brönsted-Lowry,
second
they
have
specific
surface
areas
adequate
magnetic
characteristics
that
allow
recovery
medium.
Another
interesting
point
use
residues
catalysis
highlighted,
as
materials
contain
metals
such
Fe,
K,
Si,
Mg,
Na,
Ti
their
composition,
which
accelerate
reactions.
Thus,
this
sense,
article
proposes
to
carry
out
a
bibliographical
survey
literature
experimental
papers
published
reviews
on
ferrospinels
supported
waste
from
cut
ornamental
rocks
(granite/marble)
production
core
search,
online
data
platforms
Science
Direct
(Elsevier)
Web
covering
period
2016
April
2023,
Start
software
(State
Art
through
Systematic
Review).
results
revealed
quantitative
223
articles
general,
62
were
accepted,
161
rejected.
While
review
extraction
stage,
22
40
In
addition,
catalytic
supports
biodiesel
oxides,
nothing
specifically
informing
cuts
host
material
(support)
aiming
biodiesel.
Therefore,
meaning
not
possible
type
residue
support
catalysts,
but
rather
there
may
lack
research
investigating
application.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
6(5)
Published: May 7, 2024
Abstract
The
growing
population
and
the
unpalatable
ecological
impact
of
exploration
utilization
fossil-based
fuels
have
resulted
in
increased
demand
for
biofuel
as
an
alternative
fuel
engines
power
generation.
global
biodiesel,
a
prominent
member
biofuels
family,
has
continued
to
increase
over
past
decades
with
researchers
devising
various
means
intensify
cost-effective
production.
use
metal
oxide
nanocatalysts
is
one
feasible
strategies
meet
quality
biodiesel.
This
study
reviews
recent
advances
deployment
commonly
used
nanoparticles
such
MgO,
CaO,
TiO
2
,
ZnO,
ZrO
accelerate
sustainable
biodiesel
Converting
conventional
heterogeneous
catalysts
into
enhances
surface
configuration,
chemical
thermal
stability,
porosity,
crystallinity
nanocatalysts.
hasten
transesterification
reaction,
reduces
reaction
temperature
time,
yield.
Biodiesel
synthesized
aid
impeccable
meets
international
standards.
Notwithstanding
few
challenges,
application
engenders
production
contributes
energy
security.
More
innovative
collaborative
studies
are
needed
reduce
ethical,
economic,
infrastructural,
environmental
consequences
usage
nanomaterials
Frontiers in Energy Research,
Journal Year:
2023,
Volume and Issue:
11
Published: Feb. 10, 2023
The
search
for
renewable,
affordable,
sustainable,
and
ecologically
benign
fuels
to
substitute
fossil-based
diesel
has
led
increased
traction
in
the
biodiesel
production
utilization
recent
times.
Biodiesel,
a
form
of
liquid
biofuel,
been
found
alleviate
environmental
degradation,
enhance
engine
performance,
reduce
emissions
toxic
gases
transportation
other
internal
combustion
engines.
However,
processes
have
dogged
with
various
challenges
complexities
which
limited
its
expected
progression.
introduction
data-based
technologies
is
one
remedies
aimed
at
deescalating
associated
synthesis.
In
this
study,
application
machine
learning
(ML)
–based
including
artificial
neural
network
(ANN),
response
surface
methodology
(RSM),
adaptive
network-based
fuzzy
inference
system
(ANFIS),
etc.
As
tools
prediction,
modeling,
optimization
process
was
interrogated
based
on
outcomes
previous
studies
research
domain.
Specifically,
we
review
influence
input
variables
like
alcohol:
oil
molar
ratio,
catalyst
concentration,
reaction
temperature,
residence
time,
agitation
speed
yield
(output
variable).
outcome
investigation
shows
that
usage
ANN,
RSM,
ANFIS,
raised
between
84%
98%
while
statistical
verification
Pearson
correlation
coefficient
determination
are
close
1.
Going
forward,
more
targeted
collaborative
needed
escalate
use
innovative
entire
value
chain
efficiency,
ensure
economic
feasibility,
promote
sustainability.
Journal of Engineering Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 1, 2024
This
study
assessed
the
utilization
of
a
heterogeneous
catalyst
derived
from
waste
marble
tiles
and
cow
horn
for
cooking
oil-derived
biodiesel
synthesis.
The
synthesized
composite
was
prepared
through
sequential
calcination
wet
impregnation.
its
precursors
were
characterized
to
analyze
their
composition,
structural,
surface
properties.
production
process
modeled
optimized
via
response
methodology
(RSM)
artificial
neural
networks
(ANN).
Characterization
oil
revealed
suitability
in
production.
had
area
301.510
m2/g,
while
pore
volume
diameter
0.165
cm3/g
2.110
nm
respectively,
which
contributed
optimum
yield
98%
at
reaction
time
119.92
min,
concentration
5.12
wt%,
temperature
74.86
°C,
methanol-to-oil
ratio
11.43:1.
reusable
up
seven
cycles
retaining
significant
activity.
sample
properties
that
met
standards.
RSM
ANN
demonstrated
adequate
representation
as
shown
by
high
R2
values
although
superior
since
it
higher
(0.9993)
adjusted
(0.9977)
values.
Global
sensitivity
analysis
results
showed
most
important
input
variable.
work
has
provided
insights
into
valorization
sustainable
catalysis.
International Journal of Ambient Energy,
Journal Year:
2025,
Volume and Issue:
46(1)
Published: Jan. 6, 2025
This
study
explores
biodiesel
synthesis
from
waste
cooking
oil
using
eggshells
as
a
heterogeneous
catalyst,
achieving
notable
yield
of
77.687%.
Key
parameters
were
catalyst
loading
4
wt.
%,
reaction
temperature
65°C,
duration
180
min,
and
methanol-to-oil
molar
ratio
13:1.
The
research
also
developed
machine
learning
models
to
predict
optimise
process
parameters,
Boosted
Huber,
LASSO,
Artificial
Neural
Network
(ANN)
models.
ANN
model
excelled
with
an
R2
0.998,
RMSE
MSE
values
0.2525
0.0637,
respectively.
Adam
algorithm,
known
for
its
adaptive
rate
efficient
momentum
updates,
was
used
optimisation.
Optimal
conditions
produced
peak
76.845%
at
65.87°C,
182.48
3.8
%
loading,
13:1
ratio.
Catalyst
reusability
tested
over
four
cycles,
decreasing
77.687%
41.56%,
consistent
other
catalysts.
demonstrates
the
potential
waste-derived
catalysts
production
highlights
effectiveness
in
optimising
predicting
yields,
contributing
sustainable
energy
management
practices.
