Performance and emission prediction using ANN (artificial neural network) on H2-assisted Garcinia gummi-gutta biofuel doped with nano additives
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 18, 2025
The
current
work
focuses
on
utilization
of
ANN
(artificial
neural
network)
for
the
prediction
performance
and
tailpipe
emissions
Garcinia
gummigutta
methyl
ester
(GGME)
enriched
with
H2
TiO2
nano
additives.
For
experimentation,
gas
was
introduced
to
mixes
containing
nanoparticles.
Diesel,
B10
blend
(10%
GGME
biofuel
+
90%
Diesel),
B20
(20%
80%
Diesel-TiO2
(Mineral
Diesel
100
ppm
additives),
B10-H2-TiO2
(B10
additives
5
L/min
H2)
B20-H2-TiO2
(B20
nanoparticles
were
considered
experimentation.
A
constant
mass
flow
rate
10
used
hydrogen
throughout
test
procedures.
Test
results
carefully
analyzed
determine
emission
measures.
Different
speeds
between
1800
2800
rpm
each
test.
When
combined
pure
mixtures
biodiesel,
these
enhanced
data.
instance,
brake-specific
fuel
consumption
reduced
but
power,
torque,
thermal
efficiency
increased.
Although
there
a
modest
rise
in
NO
emissions,
primary
goal
lowering
CO,
CO2,
other
UHC
met.
models
confirm
agreed
engine
experimental
possesses
minimal
root
mean
square
error
(RMSE)
correlation
coefficient
values
estimated.
This
ideal
model
predicts
optimizes
output
at
higher
accuracy
level,
which
gives
better
compared
empirical
theoretical
models.
Language: Английский
Synthesis of novel biodegradable silica nanoparticles to improve performance and reduce the emission of CRDI engine fueled with hydrogen-enriched biodiesel blend
International Journal of Hydrogen Energy,
Journal Year:
2024,
Volume and Issue:
93, P. 441 - 456
Published: Nov. 4, 2024
Language: Английский
Combustion, performance and emission evaluation of a diesel engine running on microwave-assisted corn oil biodiesel mixture with carbon quantum dot nanoparticle additive
International Journal of Hydrogen Energy,
Journal Year:
2024,
Volume and Issue:
95, P. 849 - 859
Published: Nov. 21, 2024
Language: Английский
Role of hydrogen-enrichment on performance and emission characteristics of a diesel engine fuelled with metal oxide nanoparticles added biodiesel/diesel blends:A combined neuro Fuzzy-Gaussian Mixture Model analysis
International Journal of Hydrogen Energy,
Journal Year:
2024,
Volume and Issue:
93, P. 1113 - 1126
Published: Nov. 11, 2024
Language: Английский
Exploring the synergistic mechanisms of alcohol-based biofuel blends for a greener future: a comparative study of propanol, ethanol, and butanol blends in reducing emissions and enhancing engine performance for sustainable transportation fuels
B. Ramya Krishna,
No information about this author
Balakrishna,
No information about this author
S. Katta
No information about this author
et al.
International Journal of Chemical Reactor Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 2, 2025
Abstract
Alcohol-based
biofuels,
including
butanol
and
ethanol,
have
garnered
heightened
attention
due
to
an
impending
global
demand
for
sustainable
transportation
fuels.
Nevertheless,
the
potential
of
propanol,
additional
alcohol-based
fuel,
has
not
been
completely
evaluated,
particularly
in
comparison
its
counterparts.
In
this
investigation,
environmental
performance
characteristics
are
compared
when
blended
with
gasohol.
This
study
conducts
a
comprehensive
blends
combined
Key
areas
focus
include
engine
performance,
fuel
stability,
emissions
profiles
(CO,
NOx,
HC,
CO
2
).
Experimental
analyses,
encompassing
varying
blend
ratios
(BR),
speeds,
compression
ratios,
reveal
that
optimized
propanol-gasohol
significantly
reduce
greenhouse
gas
pollutant
while
enhancing
efficiency
ethanol
blends.
Optimized
exhibit
additionally
efficiency,
thereby
facilitating
development
further
environmentally
friendly
alternatives.
These
findings
biofuel
strategies
sector
designed
mitigate
implications.
The
achieved
15
%
reduction
emissions,
10
NOx
12
HC
improving
metrics
such
as
combustion
efficiency.
study’s
originality
lies
evaluation
propanol
additive,
addressing
gaps
literature
related
optimization.
Unlike
butanol,
propanol’s
unique
properties,
improved
emission
reductions
compatibility,
were
systematically
investigated
under
varied
operating
conditions.
provide
new
perspectives
on
development.
Language: Английский
Investigating emission characteristics and combustion performance of a CRDI engine utilizing novel biodiesel derived from waste cooking oil and pentanol blends
M. Selvam,
No information about this author
N. Pragadish,
No information about this author
K.A. Harish
No information about this author
et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 27, 2025
This
study
investigates
an
innovative
approach
by
utilizing
biodiesel
derived
from
Waste
Cooking
Oil
(WCO)
to
evaluate
its
impact
on
engine
performance,
combustion
dynamics,
and
emissions
characteristics.
It
examines
the
effects
of
blending
Pentanol
with
WCO-based
in
a
Common
Rail
Direct
Injection
engine,
maintaining
constant
injection
timing
23°
before
Top
Dead
Center
compression
ratio
17.5:1.
The
analysis
covers
various
fuel
compositions,
including
pure
diesel
(D100),
30%
WCO-biodiesel
(B30),
10%
(B30
+
P10),
20%
P20),
40%
(B40),
(B40
under
varying
load
conditions.
results
reveal
that
WCO-derived
blends
demonstrate
notable
improvements
emission
metrics.
B30
P20
blend
stands
out,
delivering
9.9%
increase
brake
thermal
efficiency,
10.5%
reduction
brake-specific
consumption
(BSFC),
12.6%
improvement
volumetric
efficiency
compared
diesel.
Additionally,
this
enhances
heat
release
rate
cylinder
pressure
4.8%
3.1%,
respectively.
Emission
reductions
are
substantial,
CO,
HC,
NOX
decreasing
31.75%,
20.28%,
14.82%,
respectively,
when
other
blends.
research
underscores
Pentanol-enhanced
as
sustainable
efficient
alternative
for
automotive
applications.
Language: Английский
Algae Biodiesel as a Green Fuel Alternative: A Futuristic Scope
Cleaner Chemical Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100178 - 100178
Published: May 1, 2025
Machine learning and experimental emission assessment in high temperature air premixed charged compression ignition engines using the Pugh matrix
Mohammed Al Awadh,
No information about this author
Kah Ong Michael Goh
No information about this author
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: May 6, 2025
This
research
explores
the
performance,
exhaust
emissions,
and
combustion
properties
of
a
Premixed
Charged
Compression
Ignition
(PCCI)
engine
using
combinations
Andropogon
narudus
(AN)
Sapota
Oil
Methyl
Ester
(SOME)
blended
as
substitute
fuels.
A
split-fuel
injection
system
was
used,
supplying
70%
fuel
with
direct
30%
through
intake
air
manifold.
The
test
fuels
considered
were
D100
(commercial
diesel),
AN20
+
D80,
SOME20
their
corresponding
mixture
nano-additives
CeO₂
Al₂O₃
(10
ppm).Performance
analysis
showed
that
highest
brake
thermal
efficiency
(BTE)
attained
by
D80
Al₂O₃,
which
rose
2.5%
respect
to
diesel,
2.3%
rise
in
BTE.
Brake-specific
consumption
(BSFC)
reduced
0.10
g/kWh
for
diesel
due
its
lower
viscosity.
Emission
hydrocarbon
(HC)
emission
decrease
up
7
ppm
all
blends
tested,
although
CO₂
NOx
emissions
higher
AN
SOME
nano-additives.
Combustion
studies
revealed
had
maximum
peak
pressure
net
heat
release
rate,
supports
effect
on
behavior.
For
improving
predictive
accuracy,
machine
learning-augmented
modeling
utilized
Multiple
Linear
Regression
(MLR),
Random
Forest
(RF),
Support
Vector
Machine
(SVMR).
RF
model
performed
better
efficiency,
giving
R²
=
0.97
NOx,
0.99
Smoke,
0.95
CO,
capturing
nonlinear
relationships
well.
MLR
good
fits
BTE
(R²
0.99)
BSFC
0.94),
whereas
SVMR
poorer
predictions
(e.g.,
Smoke:
0.19,
CO₂:
0.30).A
sustainability
ranking
situated
at
most
viable
biofuel
position,
particularly
addition
Al₂O₃.
Predictive
analytics
derived
from
ML
study
focus
role
achieving
maximal
alternative
mixtures,
less
reliance
huge
experimental
trials,
more
cleaner
efficient
burning
systems.
Language: Английский
Validation of Magnesium Oxide Additive Effects on Diesel Engine Performance Through Crystal Structure and Thermal Stability Analyses
Heat Transfer,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 3, 2024
ABSTRACT
This
study
investigates
the
effects
of
magnesium
oxide
(MgO)
nanoparticles
on
combustion
performance
and
emissions
in
diesel
engines.
MgO's
well‐ordered
crystal
structure,
high
thermal
stability,
oxygen‐carrying
capacity
positively
influence
engine
performance.
The
50
100
mg/L
MgO
concentrations
were
compared,
showing
up
to
a
5%
improvement
brake
efficiency
at
mg/L.
Additionally,
reductions
8%
CO
10%
HC
achieved.
structure
contributed
higher
temperatures,
leading
lower
harmful
emissions.
However,
an
increase
NO
x
was
observed,
indicating
need
for
careful
balancing
between
improvements
emission
control.
These
results
highlight
as
efficient
environmentally
friendly
fuel
additive.
Language: Английский