Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 3, 2025
In
India
an
enhanced
target
that
is
related
to
affordable
energy
for
increasing
the
sustainability
among
various
classes
of
people
must
be
achieved
in
subsequent
years.
As
growing
population
needs
sustainable
electricity
way
it
essential
reduce
demand
and
increase
possible
generations
a
regular
way.
Hence
proposed
method
importance
non-renewable
sources
are
analyzed
by
using
computational
intelligence
algorithm
where
likelihood
availability
observed.
order
discover
clusters
considered
accordance
with
different
regions
thus
providing
connectivity
at
points
reduced
radiations.
Therefore
alternate
use
effect
fossil
fuels
comparison
state
such
reductions
carried
out
four
scenarios.
observed
technique
observe
current
demands
can
more
than
80%
achieving
cost.
With
the
global
increase
in
energy
consumption,
there
is
a
growing
demand
for
green
production,
which
has
prompted
development
of
novel
renewable
sources.
Recently,
significant
momentum
been
observed
research
on
new
harvesting
methods
suitable
small
devices.
In
this
context,
hydrovoltaic
power
generation,
utilizing
water
due
to
its
ubiquitous
presence
and
easy
availability,
emerged
as
promising
technology.
Hydrovoltaic
generation
operates
by
converting
potential
into
electrical
through
interaction
between
materials
capable
inducing
an
gradient.
The
control
material
surface
wettability,
determines
with
water,
plays
crucial
role
enhancing
output
long-term
stability
systems.
This
review
categorizes
mechanisms
flow
diffusion
mechanisms,
discussing
respective
case
studies
based
hydrophobic
hydrophilic
substrates.
Additionally,
representative
used
are
discussed
expand
technology
across
various
fields
diverse
resources
demonstrated.
concludes
future
perspectives,
highlighting
applications
multiple
domains
outlining
directions
development.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 3, 2025
In
India
an
enhanced
target
that
is
related
to
affordable
energy
for
increasing
the
sustainability
among
various
classes
of
people
must
be
achieved
in
subsequent
years.
As
growing
population
needs
sustainable
electricity
way
it
essential
reduce
demand
and
increase
possible
generations
a
regular
way.
Hence
proposed
method
importance
non-renewable
sources
are
analyzed
by
using
computational
intelligence
algorithm
where
likelihood
availability
observed.
order
discover
clusters
considered
accordance
with
different
regions
thus
providing
connectivity
at
points
reduced
radiations.
Therefore
alternate
use
effect
fossil
fuels
comparison
state
such
reductions
carried
out
four
scenarios.
observed
technique
observe
current
demands
can
more
than
80%
achieving
cost.
