Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Oct. 14, 2024
Energy
harvesters
based
on
nanomaterials
are
getting
more
and
popular,
but
their
way
to
commercial
availability,
some
crucial
issues
still
need
be
solved.
The
objective
of
the
study
is
select
an
appropriate
nanomaterial.
Using
features
Reinforcement
Deep
Q-Network
(DQN)
in
conjunction
with
Fuzzy
PROMETHEE,
proposed
model,
we
present
this
work
a
hybrid
fuzzy
approach
selecting
materials
for
vehicle-environmental-hazardous
substance
(EHS)
combination
that
operates
roadways
under
traffic
conditions.
DQN
able
accumulate
useful
experience
operating
dynamic
environment,
accordingly
deliver
highest
energy
output
at
same
time
bring
consideration
factors
such
as
durability,
cost,
environmental
impact.
PROMETHEE
allows
participation
human
experts
during
decision-making
process,
going
beyond
quantitative
data
typically
learned
by
through
inclusion
qualitative
preferences.
Instead,
method
unites
strength
individual
approaches,
result
providing
highly
resistant
adjustable
material
selection
real
EHS.
pointed
out
can
give
high
efficiency
reference
years
service,
price,
effects.
model
provides
95%
accuracy
computational
300
s,
application
hypothesis
practical
testing
chosen
showed
selected
harvest
fluctuating
conditions
proved
concept
True
Vehicle
Environmental
High-risk
Substance
scenarios.
International Journal of Extreme Manufacturing,
Journal Year:
2024,
Volume and Issue:
6(6), P. 062003 - 062003
Published: July 20, 2024
Abstract
Triboelectric
nanogenerators
(TENGs)
stand
at
the
forefront
of
energy
harvesting
innovation,
transforming
mechanical
into
electrical
power
through
triboelectrification
and
electrostatic
induction.
This
groundbreaking
technology
addresses
urgent
need
for
sustainable
renewable
solutions,
opening
new
avenues
self-powered
systems.
Despite
their
potential,
TENGs
face
challenges
such
as
material
optimization
enhanced
triboelectric
effects,
scalability,
improving
conversion
efficiency
under
varied
conditions.
Durability
environmental
stability
also
pose
significant
hurdles,
necessitating
further
research
towards
more
resilient
Nature
inspired
TENG
designs
offer
promising
solutions
by
emulating
biological
processes
structures,
mechanisms
plants
textured
surfaces
animal
skins.
biomimetic
approach
has
led
to
notable
improvements
in
properties,
structural
designs,
overall
performance,
including
robustness.
The
exploration
bio-inspired
unlocked
possibilities
harvesting,
sensing,
wearable
electronics,
emphasizing
reduced
consumption
increased
innovative
design.
review
encapsulates
advancements
nature
TENGs,
highlighting
integration
principles
overcome
current
limitations.
By
focusing
on
augmented
biodegradability,
self-healing
capabilities,
pave
way
versatile
solutions.
SusMat,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 22, 2024
Abstract
Benefiting
from
the
high
sensitivity
and
electromechanical
conversion
efficiency,
triboelectric
nanogenerators
(TENGs)
are
widely
used
in
various
fields
of
self‐powered
sensing
mechanical
energy
harvesting,
which
have
great
potential
for
application
future
smart
Internet
Things.
The
development
sustainable
materials
with
high‐performance
has
a
vital
impact
on
construction
TENG
devices
that
combine
high‐output
performance
environmental
friendliness,
positive
humanity.
This
review
systematically
comprehensively
summarizes
latest
research
work
TENG's
materials.
First,
an
overall
overview
is
provided
based
composition
materials,
including
amino
acids,
polysaccharides,
synthetic
polymer,
representative
works
further
classified
summarized
detail.
In
addition,
progress
harvesting
applications
also
summarized.
Finally,
overviews
challenges
current
material,
related
outlooks
offered
corresponding
strategies
directions
this
field
future.
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(27), P. 34549 - 34560
Published: June 28, 2024
Self-powered
sensors
have
the
potential
to
enable
real-time
health
monitoring
without
contributing
ever-growing
demand
for
energy.
Piezoelectric
nanogenerators
(PENGs)
respond
mechanical
deformations
produce
electrical
signals,
imparting
a
sensing
capability
external
power
sources.
Textiles
conform
human
body
and
serve
as
an
interactive
biomechanical
energy
harvesting
medium
compromising
comfort.
However,
textile-based
PENG
fabrication
process
is
complex
lacks
scalability,
making
these
devices
impractical
mass
production.
Here,
we
demonstrate
of
long-length
fiber
compatible
with
industrial-scale
manufacturing.
The
thermal
drawing
enables
one-step
self-poled
MoS2–poly(vinylidene
fluoride)
(PVDF)
nanocomposite
integrated
electrodes.
Heat
stress
during
MoS2
nanoparticle
addition
facilitate
interfacial
polarization
dielectric
modulation
enhance
output
performance.
fibers
show
57
70%
increase
in
voltage
current
compared
pristine
PVDF
fiber,
respectively,
at
considerably
low
loading
3
wt
%.
Young's
modulus
outer
cladding
ensures
effective
transfer
piezocomposite
domain
allows
minute
motion
detection.
flexible
wireless,
self-powered
physiological
biomotion
analysis
capability.
study
aims
guide
large-scale
production
highly
sensitive
plug-and-play
wearable
sensors.
