Latin American Journal of Energy Research,
Год журнала:
2025,
Номер
12(1), С. 92 - 102
Опубликована: Апрель 15, 2025
A
crescente
demanda
energética
mundial
e
nacional,
associada
à
necessidade
de
conservação
dos
recursos
naturais,
requer
o
aumento
da
capacidade
geração
por
meio
fontes
menos
poluentes.
O
estado
do
Espírito
Santo
apresenta
condições
favoráveis
energia
eólica,
incluindo
um
extenso
território
costeiro,
porém,
ainda
não
possui
essa
fonte.
Dessa
forma,
objetivou-se
analisar
potencial
eólico
Santo,
comparativamente
ao
seu
consumo
sua
elétrica,
além
perspectivas
uso
dessa
fonte
no
estado.
Estudos
técnicos
apontam
para
a
existência
uma
potência
instalável
cerca
269.269
MW,
sendo
127.189
MW
torres
200
m
altura
em
ambiente
onshore
142.080
100
com
até
50
profundidade
offshore,
Verificou-se
que
aproveitamento
apenas
3,5%
onshore,
3,1%
offshore
1,6%
somado
(onshore
offshore)
seriam
suficientes
suprir
elétrica
exploração
de,
respectivamente,
1,7%;
1,5%;
0,8%
somado,
vez,
equivalentes
Há
expectativas
início
eólica
estado,
vez
existem
seis
empreendimentos
eólicos
somam
aproximadamente
11.230
empreendimento
híbrido
(eólico,
solar
diesel)
processo
licenciamento
ambiental
junto
IBAMA.
Assim,
parte
desse
expressivo
poderia
promover
diversificação
independência
matriz
baixo
carbono.
Región Científica,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 13, 2023
In
the
context
of
post-pandemic
recovery
plans,
several
countries
have
glimpsed
a
window
opportunity
to
integrate
robust
strategies
combat
climate
change,
aligning
measures
that
support
transition
renewable
energies.
Latin
America,
region
endowed
with
significant
clean
energy
potential,
has
experienced
challenges
exacerbated
by
COVID-19
crisis,
which
considerably
impacted
implementation
and
optimization
these
This
study
sought
meticulously
examine
process
in
scenario
implementing
methodology
amalgamates
qualitative
quantitative
approaches.
Through
theoretical
empirical
exploration,
it
explored
prevailing
dilemmas
during
pandemic,
identifying
main
barriers
advantages
intrinsic
transition.
Although
investment
remains
heavily
weighted
towards
non-renewable
sector,
America
demonstrated
tangible
progress
The
analysis
led
relevant
recommendations
for
incorporating
vital
elements
government
policies
critical
competencies
stakeholders,
advocating
more
substantial
commitment
sustainability
region's
future.
Biofuels,
Год журнала:
2023,
Номер
15(4), С. 375 - 387
Опубликована: Сен. 5, 2023
AbstractBiomass
recovery
units
present
a
significant
area
of
research
due
to
their
implications
for
energy
security
and
environmental
sustainability.
However,
gap
remains
concerning
the
challenges
cost-effectiveness
different
biomass
supply
chains
unit
technologies.
This
study
focus
on
techno-economic
evaluation
technologies,
role
policy
regulatory
structures
in
advancement.
The
findings
highlight
complex
networks
supporting
units,
presenting
economic
distinct
from
fossil
fuel
industries.
Geographic
information
systems
operations
have
emerged
as
critical
tools
enhancing
precision
logistics
studies.
They
enable
thorough
analysis
costs
associated
with
acquisition,
storage,
transportation.
paper
identifies
trend
toward
scaling-up
reduce
through
capital
intensification.
beyond
an
optimal
capacity,
feedstock
transportation
increase,
prompting
exploration
distributed
processing
strategies.
offer
understanding
cost
within
sector.
identified
stress
need
continued
improve
technologies
stability
supply.Keywords:
Biomass
energybiomass
unitstechno-economic
analysispolicy
influencedistributed
Disclosure
statementNo
potential
conflict
interest
was
reported
by
author.Additional
informationFundingLJRN
supported
proMetheus
–
Research
Unit
Energy,
Materials
Environment
Sustainability
UIDP/05975/2020,
funded
national
funds
FCT
Fundação
para
Ciência
e
Tecnologia.
Environment Development and Sustainability,
Год журнала:
2023,
Номер
26(11), С. 28751 - 28784
Опубликована: Сен. 9, 2023
Abstract
This
study
analyzes
non-hydroelectric
renewable
capacity
across
27
European
countries
from
2000
to
2020,
using
advanced
econometric
techniques
like
the
Dumitrescu
and
Hurlin
panel
Granger
non-causality
method,
Panel
Autoregressive
Distributed
Lag
Quantile
estimations.
investigation
reveals
complex
relationships
extending
beyond
immediate
variables.
These
relationships,
rooted
in
pairwise
causalities
broader
interactions,
underpin
observed
phenomena.
Causality
tests
show
that
achieving
is
a
long-term
endeavor,
emphasizing
persistent
policy
approaches
for
effective
energy
transition.
Three
key
variables
emerge
as
potent
drivers:
maintaining
an
environment
conducive
economic
freedom,
fostering
financial
development,
driving
patents’
research
development.
play
pivotal
role
expansion.
Additionally,
findings
of
this
empirical
spotlight
political
orientations.
Leftist
governments
have
lagged
prioritizing
transition,
prompting
questions
about
neglecting
environmental
concerns
necessitating
comprehensive
reform.
In
essence,
offers
novel
insights
into
deployment.
By
unraveling
policies,
identifying
variables,
provides
nuanced
perspective
line
with
sustainable
transition
urgency.
As
global
ecological
imperatives
heighten,
our
work
guides
informed
decisions
greener
future.
Abstract
Countries
all
over
the
world
have
been
seeking
ways
and
methods
so
that
their
electrical
matrices
can
stand
out
using
clean
renewable
energy
sources.
In
this
context,
article
presents
a
review
with
analysis
of
sector
legislation
on
photovoltaic
solar
in
Brazil.
This
study
was
grounded
four
steps:
(i)
sample
definition;
(ii)
theoretical
basis;
(iii)
network
analysis;
(iv)
content
two
stages
research.
Initially,
systematic
literature
carried
order
to
map
major
most
cited
works.
The
second
stage
consisted
reading
performing
critical
government
documents
reports
from
Brazil
few
bibliometric
resources
for
such
purpose.
Its
results
reveal
has
grown
expanded
different
applications,
since
floating
plants
subscription
are
becoming
increasingly
attractive.
Furthermore,
possible
replacement
generation
thermoelectric
investigated
once
there
positive
aspects
yet
be
found
thereof.
As
samples
obtained,
we
works
would
allow
source
increase
by
1%
matrix
stop
emitting
10,738,478
tons
into
atmosphere,
progressive
decrease
use
tariff
flags
(which
affect
directly
final
consumer)
reduction
operating
costs
also
achieved.
Journal of Water and Climate Change,
Год журнала:
2024,
Номер
15(8), С. 4016 - 4034
Опубликована: Июль 22, 2024
ABSTRACT
Climate
change,
driven
by
greenhouse
gas
(GHG)
emissions,
causes
extreme
weather
events,
impacting
ecosystems,
biodiversity,
population
health,
and
the
economy.
Predicting
GHG
emissions
is
crucial
for
mitigating
these
impacts
planning
sustainable
policies.
This
research
proposes
a
novel
machine
learning
model
forecasting.
Our
model,
Meta-Learning
Applied
to
Multivariate
Single-Step
Fusion
Model,
utilizes
historical
from
Brazil
over
past
60
years
predict
CO2
CH4
emissions.
Additionally,
employs
unique
combination
of
two
techniques
in
time
series
forecasting:
(i)
each
substance
individually
extracted
trained
based
on
specific
decision
task,
then
integrated
into
same
feature
space;
(ii)
allows
learn
prediction
tasks,
leading
better
generalization.
was
compared
with
state-of-the-art
models
using
dataset.
The
results
show
that
our
approach
reduces
mean
absolute
percentage
error
49.06%
95%
confidence
Transformer-based
TST
demonstrating
its
superior
performance
low
estimated
0.01
kg
CO2eq.
Furthermore,
model's
flexibility
it
be
adapted
various
environmental
studies
general
Sustainability,
Год журнала:
2024,
Номер
16(21), С. 9273 - 9273
Опубликована: Окт. 25, 2024
Battery
Electric
Vehicles
(BEVs)
are
a
crucial
innovation
for
achieving
sustainable
transportation
and
reducing
greenhouse
gas
emissions,
which
major
contributors
to
global
warming
climate
change.
While
previous
studies
have
explored
attitudes
towards
BEV
technology
acceptance,
few
examined
the
interplay
of
external
factors
such
as
government
measures
adoption
barriers
in
promoting
mobility.
This
study
addresses
this
gap
by
investigating
roles
policies,
usage
obstacles
diffusion
stimulating
purchase
intentions,
while
applying
Innovative
Diffusion
Theory
(IDT).
Data
from
3632
respondents
Thailand
were
analyzed
using
structural
equation
modeling
(SEM)
examine
causal
relationships
between
factors.
The
results
indicate
that
policies
supporting
users
enhance
society,
leading
increased
intentions.
Furthermore,
effective
help
mitigate
usage,
further
encouraging
adoption.
also
reveals
intentions
vary
across
age
groups,
highlighting
need
targeted
approaches
transportation.
These
findings
contribute
development
evidence-based
policy
recommendations
accelerate
adoption,
Thailand’s
Carbon
Neutrality
goals
broader
objectives.
By
elucidating
complex
dynamics
research
provides
valuable
insights
policymakers
stakeholders
working
more
environmentally
friendly
sector.