Jurnal Ilmiah Profesi Pendidikan,
Год журнала:
2024,
Номер
9(2), С. 1356 - 1364
Опубликована: Май 28, 2024
Islamic
education
holds
a
significant
position
within
nation's
national
system.
This
article
aims
to
explore
the
of
system
context
using
literature
review
method.
Data
were
obtained
through
searches
from
various
reliable
sources
such
as
scholarly
journals,
textbooks,
and
relevant
official
publications.
analysis
was
conducted
by
identifying
summarizing
main
findings
topic.
The
results
indicate
that
has
impact
on
shaping
character,
morality,
religious
identity
students.
Values
justice,
tolerance,
compassion
taught
in
play
key
role
building
civilized
sustainable
society.
implications
this
underscore
importance
strengthening
supporting
educational
goals
ensuring
integration
values
into
curricula.
Furthermore,
also
highlights
need
for
intercultural
interreligious
dialogue
encouraged
create
more
inclusive
harmonious
research
contributes
expanding
understanding
challenges
opportunities
implementing
modern
education.
Sustainability,
Год журнала:
2024,
Номер
16(10), С. 4219 - 4219
Опубликована: Май 17, 2024
Under
the
Paris
Agreement,
countries
must
articulate
their
most
ambitious
mitigation
targets
in
Nationally
Determined
Contributions
(NDCs)
every
five
years
and
regularly
submit
interconnected
information
on
greenhouse
gas
(GHG)
aspects,
including
national
GHG
inventories,
NDC
progress
tracking,
policies
measures
(PAMs),
projections
various
scenarios.
Research
highlights
significant
gaps
definition
of
reporting
GHG-related
elements,
such
as
inconsistencies
between
projections,
targets,
a
disconnect
PAMs
scenarios,
well
varied
methodological
approaches
across
sectors.
To
address
these
challenges,
Mitigation-Inventory
Tool
for
Integrated
Climate
Action
(MITICA)
provides
framework
that
links
applying
hybrid
decomposition
approach
integrates
machine
learning
regression
techniques
with
classical
forecasting
methods
developing
emission
projections.
MITICA
enables
scenario
generation
until
2050,
incorporating
over
60
Intergovernmental
Panel
Change
(IPCC)
It
is
first
modelling
ensures
consistency
aligning
tracking
target
setting
IPCC
best
practices
while
linking
climate
change
sustainable
economic
development.
MITICA’s
results
include
align
observed
trends,
validated
through
cross-validation
against
test
data,
employ
robust
evaluating
PAMs,
thereby
establishing
its
reliability.
International Journal of Hydrogen Energy,
Год журнала:
2024,
Номер
67, С. 240 - 250
Опубликована: Апрель 21, 2024
The
measures
needed
to
limit
global
warming
pose
a
particular
challenge
current
fossil
fuel
exporters,
who
must
not
only
decarbonise
their
local
energy
systems,
but
also
compensate
for
the
expected
decline
in
revenues.
One
possibility
is
seen
export
of
green
hydrogen.
Using
Algeria
as
case
study,
this
paper
analyses
how
different
levels
ambition
hydrogen
exports,
efficiency
and
switching
affect
cost-optimal
expansion
power
sector
given
overall
emissions
reduction
path.
Despite
falling
costs
photovoltaics
wind
turbines,
results
indicate
that
countries
with
very
low
natural
gas
prices,
such
Algeria,
fully
renewable
electricity
system
by
2050
unlikely
without
appropriate
policy
measures.
should
therefore
start
early,
high
annual
growth
rates
required,
which
will
be
reinforced
additional
exports.
In
parallel,
key
factor
it
directly
mitigates
CO2
from
fuels
reduces
domestic
demand,
could
instead
used
production.
Integrating
electrolysers
into
potentially
help
reduce
specific
through
load
shifting.
Overall,
seems
advisable
analyse
exports
together
decarbonisation
order
better
understand
interactions
efficiently
possible.
These
methodology
transferred
other
want
become
exporters
future
are
useful
addition
researchers
makers.
AIMS energy,
Год журнала:
2024,
Номер
12(1), С. 167 - 189
Опубликована: Янв. 1, 2024
<abstract>
<p>Benin
is
one
of
the
West
African
countries
with
low
access
to
energy.
Abundant
residues
are
generated
from
different
activities
in
Benin,
most
which
not
yet
considered
for
energy
generation.
In
this
study,
we
aim
evaluate
potential
bioenergy
resources
agricultural
and
municipal
solid
waste
(MSW)
Benin.
Eleven
(11)
have
been
study
four
them
high
used
Bioenergy
Food
Security
Rapid
Appraisal
(BEFS
RA)
tool
how
much
electricity
could
be
gasification
analyze
social
economic
benefits
that
can
attained.
We
also
introduce
residue-to-product
approach
NPV
IRR
method
estimate
MSW
viability
generating
through
process.
Data
collected
Benin's
Directorate
Agricultural
Statistics
governmental
website
data
estimated
using
World
Bank
2012
2025.
Our
estimation
shows
a
total
142.63
PJ
residue
Benin
produced
2021.
highest
contributor,
contributing
up
98%.
The
available
generation
at
85.6
maize
major
contributor
45%,
followed
by
cotton
cassava
17%
13%,
respectively.
BEFS
RA
simulation
20,
849;
83,
395
208,
488
kWh
per
year
feedstock
based
on
10,
40,
100
kW
plants
Moreover,
net
present
value
internal
rate
return
all
power
positive,
showing
importance
investing
systems.
It
important
future
projects
include
maize,
cotton,
as
priority
since
their
appears
higher
than
other
crops.</p>
</abstract>
Applied Sciences,
Год журнала:
2025,
Номер
15(3), С. 1618 - 1618
Опубликована: Фев. 5, 2025
This
study
investigates
key
parameters
and
applications
of
artificial
intelligence
(AI)
in
predicting
the
total
cost
ownership
(TCO)
for
chilled
water
plants
(CWPs).
Forecasting
TCO
CWPs
is
challenging
due
to
diverse
dynamic
factors
that
influence
it,
necessitating
understanding
their
complex
correlations
causations.
While
AI
non-AI
approaches
have
improved
parameter
prediction
accuracy
different
engineering
applications,
comprehensive
literature
reviews
on
chiller
methodologies
influencing
are
limited.
systematic
review
addresses
three
objectives:
(1)
identify
estimating
CWPs,
(2)
examine
existing
techniques
employed
forecasting
benefits
energy
savings,
(3)
evaluate
how
enhances
robustness.
Following
preferred
reporting
items
meta-analyses
(PRISMA)
guidelines,
this
analyzed
studies
from
2017
2024
sourced
Web
Science
Scopus
databases.
identifies
several
TCO,
including
cooling
load,
consumption,
capacity,
Coefficient
Performance
(COP).
The
shows
AI-driven
models,
such
as
deep
learning
machine
algorithms,
robustness
predictions,
it
further
demonstrates
scenarios
where
outperforms
conventional
methods.
Notably,
current
predicted
be
capable
reducing
life
cycle
costs
by
up
18%,
based
modeling
estimates.