Applied Energy,
Journal Year:
2024,
Volume and Issue:
358, P. 122563 - 122563
Published: Jan. 9, 2024
Many
countries
are
targeting
the
rapid
and
deep
decarbonization
of
their
energy
supply,
with
renewable
technologies
playing
a
key
role.
Despite
increased
technology
maturity
dramatically
decreased
costs,
deployment
momentum
renewables
often
lags
behind
ambitious
policy
commitments.
Accordingly,
policymakers
must
accelerate
development
projects
to
meet
goals.
However,
we
currently
lack
comprehensive
understanding
how
long
take
commission,
whether
executed
faster
as
mature,
which
factors
affect
timelines
–
this
knowledge
gap
affects
researchers
providing
model-based
advice
alike.
To
fill
gap,
analyzed
global
commissioning
times
between
2005
2022,
drawing
on
data
for
12,475
using
solar
photovoltaic
(PV),
wind
onshore,
offshore,
biomass,
run-off-river
hydro
in
48
countries.
We
found
that
average
have
substantially
over
past
two
decades
all
project
sizes.
This
finding
highlights
need
incorporate
up-to-date
models
generate
realistic
advice.
In
addition,
identified
five
categories
timelines,
conducted
cross-sectional
analyses
fixed-effect
models,
present
implications
policymakers,
businesses,
researchers.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
21, P. 101785 - 101785
Published: Jan. 15, 2024
Solar
and
wind
energy
sources
hold
significant
potential
to
meet
the
escalating
demand
in
Saudi
Arabia
sustainably.
This
research
aims
assess
feasibility
prospects
of
deploying
solar
photovoltaic
(PV)
systems
(SA).
The
study
adopts
a
comprehensive
approach,
encompassing
spatial
analysis
land
suitability,
techno-economic
studies,
prediction
renewable
(RE)
resource
variability
trends
using
machine
learning
techniques.
Geographical
Information
System
(GIS)
is
employed
identify
suitable
areas
for
establishing
PV
farms
based
on
multi-criteria
evaluation
methods.
Techno-socioeconomic
systems,
under
various
configurations
scenarios,
conducted
Advisor
Model
(SAM)
tool.
Furthermore,
Support
Vector
Machine
(SVM)
algorithm
developed
deployed
forecast
Global
Horizontal
Irradiation
(GHI),
speed,
influential
weather
parameters
at
different
locations
SA.
projections
these
variables
derived
from
global
climate
models
are
utilized
analyze
variabilities.
suitability
identified
four
optimal
large-scale
fields
Tabuk,
Al
Madinah,
Makkah,
Riyadh
provinces.
Additionally,
promising
were
found
Riyadh,
Eastern
also
one
location
Jouf
province
hybrid
combining
energy.
assessment
revealed
that
performed
best
overall,
achieving
capacity
factor
42.6
%
Madinah
province.
Although
current
tariffs
render
projects
economically
unviable,
PV,
energy,
PV-wind
technologies
feasible
SA
Power
Purchase
Agreement
(PPA)
rates
above
$32.8/MWh,
$26.1/MWh,
$50.6/MWh,
respectively.
social
development
estimated
job
creation
deployment
scenarios
2020
2060,
indicating
more
ambitious
targets
could
translate
millions
jobs.
SVM
model
predicted
irradiance
with
an
R-squared
value
0.893.
CMIP6
was
then
used
project
GHI
2049,
suggesting
increase
approximately
19
%.
Wind
speed
expected
rise
roughly
5
over
same
period.
integration
GIS
analysis,
modeling,
learning-based
forecasting
provides
insights
into
harnessing
facilitates
evidence-based
planning
risk
assessment,
crucial
sustainable
transition.
roadmap
this
can
inform
policy
frameworks,
support
United
Nations
Sustainable
Development
Goals
(UNSDGs),
attract
private
investments
RE
Consequently,
establishes
as
viable
solutions
meeting
SA's
growing
demands
sustainably,
while
minimizing
associated
environmental
impact.
Processes,
Journal Year:
2025,
Volume and Issue:
13(1), P. 164 - 164
Published: Jan. 9, 2025
Large-scale
renewable
energy
plants
such
as
solar
photovoltaic
(PV)
farms
are
vital
to
the
global
transition
a
green
economy.
They
reduce
greenhouse
gas
emissions,
mitigate
climate
change,
and
promote
sustainable
resilient
energy.
However,
large-scale
PV
need
adequate
planning
site
selection
for
optimal
performance.
This
study
presents
geographic
information
system
(GIS)-based
multi-criteria
decision-making
(MCDM)
framework
utilizing
analytic
hierarchy
process
(AHP)
identify
sites
utility-scale
in
Ikorodu,
Lagos
State,
Nigeria.
By
integrating
critical
environmental,
technical,
economic,
social
factors,
model
evaluates
land
suitability
projects
across
area.
The
finding
indicates
that
68.77%
of
is
unsuitable
development,
with
only
17.78%
classified
highly
suitable
12.67%
moderately
suitable.
Marginally
most
appropriate
areas
minimal,
at
0.73%
0.04%,
respectively.
provides
replicable
approach
stakeholders
policymakers
aiming
implement
solutions,
aligning
national
targets.
Future
research
could
integrate
dynamic
factors
community
engagement,
use
changes,
evolving
environmental
policies
enhance
models.
offers
valuable
insights
into
contributes
advancing
Nigeria’s
systems.
