Energy
consumption
is
a
recognised
global
issue,
and
with
the
increasing
population,
there
has
been
rapid
increase
in
production
of
energy
to
meet
ever-growing
demand.However,
an
overreliance
on
fossil
fuels,
which
are
depletable
cause
carbon
emission.However,
considering
recent
international
agreements
over
need
reduce
greenhouse
gases
that
aim
cut
gas
emissions
by
50
percent
before
2050,
it
crucial
research
implementation
Renewable
(RE)
sources
should
be
made
priority.This
study
addresses
key
stakeholders
involved
supply
chain
domestic
RE
identify
challenges
opportunities
UK.The
methodology
involves
survey
customers
reason
for
implementing,
or
not,
renewable
technologies
their
homes.The
results
indicate
financial
constraints,
lack
information,
public
acceptance
main
issues
addressed.Therefore,
encourage
adoption
RE,
cost
subsidised,
addressed
via
affordable
means,
enable
consumers
engaged
clean
rising
costs
electricity.
Energy Research & Social Science,
Год журнала:
2024,
Номер
112, С. 103515 - 103515
Опубликована: Март 14, 2024
Previous
research
has
established
that
an
effective
way
to
fight
fuel
poverty
is
increase
levels
of
energy
efficiency
in
residential
buildings.
A
different
strand
shown
the
adoption
measures
more
likely
if
people
have
high
financial
literacy.
We
combine
these
two
strands
by
conducting
a
new
survey
among
Irish
homeowners
and
directly
analysing
association
between
literacy
poverty.
Given
renovation
not
always
economically
viable,
we
also
investigate
drivers
other
strategies
cope
with
prices,
such
as
switching
household's
supplier
using
direct
debit
payments.
While
our
results
confirm
associated
lower
poverty,
at
least
for
some
measures,
find
no
evidence
link
people's
level
their
homes.
only
weak
negative
several
related
aspects
data.
low
overall
household
income
strongly
higher
prevalence
subjective
likelihood
engage
cost
mitigation
strategies,
see
administrative
challenges
insurmountable
barriers
retrofit
process.
Policy
aiming
reduce
or
should
therefore
all
focus
on
low-income
households.
Energies,
Год журнала:
2024,
Номер
17(11), С. 2483 - 2483
Опубликована: Май 22, 2024
This
manuscript
explores
the
relationship
between
economic
awareness
(as
a
part
of
energy
awareness)
Polish
households
and
their
sustainable
consumption
practices.
Sustainable
is
measured
by
frequency
behaviors
such
as
turning
off
electrical
devices
when
not
in
use,
removing
mobile
device
chargers
from
sockets,
switching
lights
leaving
room,
preferring
showers
over
baths,
using
washing
machines
dishwashers
only
full,
purchasing
energy-efficient
appliances
light
bulbs.
Economic
gauged
through
variables
knowledge
electricity
tariffs,
understanding
electric
bill
components,
prices,
exact
expenses,
usage
kWh,
effective
energy-saving
methods,
familiarity
with
efficiency
classes
study
presents
profiles
high
low
regarding
expenditures
examines
how
these
differ
behaviors.
research
based
on
survey
1407
conducted
online
2023.
Data
collected
were
subjected
to
statistical
analysis
are
presented
tables
graphs.
The
findings
discussed
context
existing
literature
field,
highlighting
implications
contributes
influences
among
households,
providing
insights
for
policymakers
conservation
initiatives.
One
key
this
paper
significant
association
awareness,
knowledge,
adoption
households.
reveals
that
higher
levels
demonstrate
notably
practices
related
compared
those
lower
awareness.
Similarly,
equipped
greater
about
techniques
exhibit
propensity
adopt
underscores
important
roles
literacy
education
fostering
behavioral
changes
towards
more
practices,
importance
targeted
interventions
educational
campaigns
aimed
at
enhancing
promoting
consumers.
Frontiers in Environmental Science,
Год журнала:
2022,
Номер
10
Опубликована: Июнь 9, 2022
The
research
conducted
in
this
paper
aims
to
examine
the
role
of
energy
innovations,
digital
technological
transformation,
and
environmental
performance
enhancing
sustainable
economic
development
European
Union
(EU)
countries,
widely
shaped
by
globalization
process.
An
advanced
empirical
analysis
is
configured
on
a
cross-sectional
dataset
EU-27
Member
States
compiled
at
level
2018
based
several
modern
econometric
procedures,
namely
robust
regression,
structural
equation
modelling
(SEM)
network
through
Gaussian
graphical
models
(GGM).
We
apply
procedures
firstly
identify
assess
direct,
indirect,
total
interlinkages
between
all
considered
variables,
as
well
their
further
cumulated
spillover
impact
development.
EU
countries
are
afterward
clustered
according
Ward
method
inset
hierarchical
clustering
for
an
in-depth
assessment
tailored
policy
design
accounting
financial
trade
(captured
KOF
Index
Globalization),
sustainability
Environmental
Performance
Index—EPI),
degree
integration
technologies
(proxied
Digital
Economy
Society
Index—DESI).
Main
results
highlight
that
there
significant
beneficial
effects
induced
increased
transformation
with
notable
differentiation
among
them.
Policy
guidelines
strategic
directions
also
enhanced
largely
presented
within
paper.
Energy Economics,
Год журнала:
2023,
Номер
128, С. 107131 - 107131
Опубликована: Окт. 24, 2023
The
prevalence
of
energy
poverty
as
a
major
challenge
in
numerous
countries,
the
escalating
crisis
that
generates
supply
fears
and
increased
prices,
need
to
build
just
supporting
mechanisms
within
net
zero
transition
add
impetus
improving
our
ability
accurately
predict
vulnerable
households.
In
Europe,
this
is
hindered
by
limited
recognition
fact
households
are
not
necessarily
income
poor
(and
vice
versa).
Artificial
Intelligence,
machine
learning
techniques
particular,
may
be
applied
improve
efficient
targeting
schemes,
enabling
accurate
prediction
via
objective,
publicly
available
data.
However,
such
applications
still
limited,
especially
across
large
number
countries.
response
above,
we
develop
an
innovative
framework
for
fair
all
current
members
European
Union
United
Kingdom.
While
explore
various
algorithms,
most
analysis
performed
using
Random
Forest
classifier.
Our
approach
beyond
reveals
household-level
country-level
predictors
poverty,
dwelling
condition,
efficiency,
social
protection
payments
gas
supplier
switching
rates.
We
also
demonstrate
how
algorithms
can
offer
straightforward
visualization
mechanism
determines
classification,
alleviation
schemes
transparent
assisting
policy-makers
setting
more
effective
thresholds
assistance
allocation.
Furthermore,
evaluate
potential
fairness
basing
their
solely
on
income-relevant
or
welfare-relevant
criteria
would
ineffective
result
significant
numbers
being
excluded
from
assistance.
Energy Conversion and Management X,
Год журнала:
2024,
Номер
23, С. 100622 - 100622
Опубликована: Май 10, 2024
Cogeneration
systems
have
been
identified
as
a
way
to
reduce
primary
energy
consumption,
especially
the
ones
using
fossil
fuels.
Although
this
technology
has
already
reached
maturity
on
medium-to-large
scale,
it
is
not
very
well
explored
micro-scale,
at
residential
level
where
market
currently
filled
with
carbon-fueled
boilers
and
combi-boilers.
For
implementation
level,
organic
Rankine
cycle
mentioned
suitable
because
of
its
simplicity
thermal/
electrical
efficiencies.
Despite
performance,
one
most
important
aspects
these
applications
response
time,
which
mainly
connected
system's
control.
Due
influence,
study
aims
provide
insights
for
developing
flexible
control
strategies
analyze
two
different
methodologies,
standard
PID
Fuzzy
Logic
controller,
considering
operating
conditions
an
experimental
ORC-based
micro-cogeneration
test
rig.
Before
being
implemented
in
rig,
both
methodologies
were
optimized
tested
virtual
environment
order
avoid
exposure
rig
unsafe
conditions.
While
controllers
show
reasonable
similar
used
environment,
approach
proved
be
more
adaptable
changes
dynamics,
are
caused
by
intrinsic
(e.g.,
unpredicted
evaporative
phenomena)
or
external
disturbances
pressure
ratio
variation),
obtaining
overall
better
performance.
Additionally,
limitations
static
complex
nonlinear
processes,
like
ORC,
highlighted
their
incapacity
stabilize
system
when
fluid
diverted
from
bypass
line
expansion
valve.
Conversely,
was
concluded
that
ability
incorporate
expert
knowledge
heuristics
makes
controller
well-suited
ORC
uncertain,
unstable,
fluctuating
behavior.
Management of Environmental Quality An International Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 30, 2024
Purpose
Electric
vehicle
adoption
(EVA)
drives
sustainability
by
significantly
reducing
carbon
emissions
and
reliance
on
fossil
fuels.
Despite
EVA’s
notable
advantages
from
existing
literature
its
evolving
nature,
a
gap
persists
in
evaluating
EVA
research.
This
research
presents
systematic
review,
offering
insights
into
the
current
state
of
advancements.
Design/methodology/approach
study
amalgamates
various
factors
influencing
elucidates
their
associations,
fostering
sustainable
transportation.
To
evaluate
progress
this
domain,
we
adopt
Theory-Context-Characteristics-Methodology
(TCCM)
framework,
systematically
assessing
theories,
contextual
factors,
characteristics
methodologies
employed
to
support
efficient
decision-making.
Findings
The
reveals
18
prominently
including
theory
planned
behavior,
innovation
diffusion
theory,
technology
acceptance
model
UTAUT.
identifies
diverse
such
as
perceived
risk,
effort
expectancy,
social
norms,
performance
government
policy,
personal
attitude,
behavioral
control,
subjective
demographics
ecological
knowledge
pivotal
shaping
attitudes
intentions
toward
electric
adoption.
Furthermore,
structured
equation
modeling
emerges
predominant
methodology,
while
alternative
approaches
enriches
methodological
landscape,
contributing
more
comprehensive
understanding
driving
EV
Practical
implications
gained
can
inform
policymakers,
manufacturers
researchers,
ultimately
global
transition
towards
transportation
solutions.
Originality/value
research’s
cardinal
contribution
lies
developing
an
integrated
theoretical
novel
approach
that
offers
holistic
perspective
multifaceted
determinants
EVA.
framework
not
only
illuminates
intricate
relationships
among
these
variables
but
also
opens
up
exciting
avenues
for
future