International Journal of Renewable Energy Development,
Journal Year:
2024,
Volume and Issue:
13(6), P. 1175 - 1190
Published: Oct. 27, 2024
In
the
ongoing
search
for
an
alternative
fuel
diesel
engines,
biogas
is
attractive
option.
Biogas
can
be
used
in
dual-fuel
mode
with
as
pilot
fuel.
This
work
investigates
modeling
of
injecting
strategies
a
waste-derived
biogas-powered
engine.
Engine
performance
and
emissions
were
projected
using
supervised
machine
learning
methods
including
random
forest,
lasso
regression,
support
vector
machines
(SVM).
Mean
Squared
Error
(MSE),
R-squared
(R²),
Absolute
Percentage
(MAPE)
among
criteria
evaluations
models.
Random
Forest
has
shown
better
Brake
Thermal
Efficiency
(BTE)
test
R²
0.9938
low
MAPE
3.0741%.
once
more
exceeded
other
models
0.9715
4.2242%
estimating
Specific
Energy
Consumption
(BSEC).
With
0.9821
2.5801%
emerged
most
accurate
model
according
to
carbon
dioxide
(CO₂)
emission
modeling.
Analogous
results
monoxide
(CO)
prediction
based
on
obtained
0.8339
3.6099%.
outperformed
Linear
Regression
0.9756%
7.2056%
case
nitrogen
oxide
(NOx)
emissions.
showed
constant
overall
criteria.
paper
emphasizes
how
well
especially
prognosticate
engines.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
11, P. 1959 - 1978
Published: Jan. 31, 2024
Numerous
developing
countries
are
currently
grappling
with
energy
crises
due
to
the
current
surge
in
global
fossil
fuels
prices.
This
situation
has
prompted
policymakers
and
cities
administrator
urgently
seek
alternative
power
sources.
Scientists
worldwide
actively
working
on
innovative
computational
methods
address
coordination
challenges
faced
by
hybrid
systems.
Their
objective
is
optimize
utilization
of
environmentally
friendly
sources,
such
as
clean
sources
(CESs)
like
wind
solar
power,
within
framework
traditional
hydro-thermal
coordination.
research
aims
examine
how
integrating
CESs
into
conventional
delivering
model
can
minimize
significant
costs
associated
production.
The
proposed
approach
involves
constructing
a
probabilistic
represent
problem.
To
handle
uncertainties
related
CESs,
technique
known
point
estimation
employed.
employs
Weibull
Beta
distribution
functions
uncertain
input
variables
power.
present
study
an
optimization
paradigm
that
integrates
black
widow
(BWO)
algorithm
radial
basis
function
neural
network
(RBFNN).
not
only
considers
system
but
also
adapts
its
parameters
attain
optimum
balance
among
exploration
well
exploitation
phase.
Within
context
advancing
transition
outcomes
our
simulations
demonstrate
achievement.
incorporation
problem
yields
substantial
10
percent
reduction
operational
impressive
64
decline
emissions.
convergence
curves
scheme
reveal
presented
computing
quickly
converges
optimal
solution,
attaining
best
solution.
Three
case
studies
have
been
conducted,
Case
Study-I,
attained
cost
emissions
$3.6e4/day
2.8e4
lb/day,
respectively,
photovoltaic
at
$1148/day
$3055/day,
respectively.
For
Study-II,
complex
function,
15887.42
lb/day
production
$26072.89/day
achieved.
Study-III,
$26558/day
12932
acquired
using
approach.
valuable
contribution
holds
particular
significance
for
economic
empowerment
nations.
By
diminishing
their
reliance
imported
generation,
it
paves
way
enhanced
self-sufficiency.
Moreover,
findings
provide
well-defined
pathway
towards
fostering
sustainable
urban
settings.
Additionally,
highlights
from
fuel-dependent
industries
establishment
economies.
International Journal of Renewable Energy Development,
Journal Year:
2023,
Volume and Issue:
12(4), P. 720 - 740
Published: June 20, 2023
Fossil
fuels
are
the
main
source
of
energy
for
transportation
operations
around
world.
However,
fossil
cause
extremely
negative
impacts
on
environment,
as
well
uneven
distribution
across
countries,
increasing
insecurity.
Biodiesel
is
one
potential
and
feasible
options
in
recent
years
to
solve
problems.
a
renewable,
low-carbon
fuel
that
increasingly
being
used
replacement
traditional
fuels,
particularly
diesel
engines.
has
several
benefits
such
reducing
greenhouse
gas
emissions,
improving
air
quality,
independence.
there
also
challenges
associated
with
use
biodiesel
including
compatibility
existing
engine
technologies
infrastructure
cost
production,
which
can
vary
depending
factors
location,
climate,
competing
uses
feedstocks.
Meanwhile,
studies
aimed
at
comprehensively
assessing
impact
power,
performance,
emissions
lacking.
This
becomes
major
barrier
dissemination
this
source.
Therefore,
study
will
provide
comprehensive
view
physicochemical
properties
affect
performance
emission
engine,
discuss
difficulties
opportunities
