Hybridized triboelectric nanogenerators for simultaneously scavenging droplet and wind energies
Chaosheng Hu,
Chengmin Bao,
Yang Liu
и другие.
Frontiers in Chemistry,
Год журнала:
2025,
Номер
12
Опубликована: Янв. 10, 2025
Triboelectric
nanogenerators
(TENGs)
have
attracted
great
attention
due
to
the
simple
manufacturing
process,
low
cost,
and
diverse
forms
of
energy
harvesting.
However,
collected
by
individual
TENG
is
relatively
limited,
making
it
necessary
develop
new
method
enhance
harvesting
capability
TENG.
Here,
we
design
a
hybridized
that
integrates
droplet-driven
wind-driven
TENG,
which
exhibits
excellent
electrical
performance.
Under
simulated
environment
medium
rain
with
breeze,
generates
an
output
voltage
95.10
V,
maximum
average
power
18.15
μW,
181.54
μJ
in
10
s,
charges
1
μF
capacitor
43.29
V
120
s.
This
work
enables
dispersed
wind
droplet
from
environment,
providing
ideas
possibilities
for
online
monitoring
remote
areas
construction
Internet
Things
systems.
Язык: Английский
Theoretical model and performance study of a stacked hydraulic piezoelectric energy harvester under multiple pulsation frequencies excitation
Sustainable Energy Technologies and Assessments,
Год журнала:
2025,
Номер
75, С. 104263 - 104263
Опубликована: Март 1, 2025
Язык: Английский
Frequency adaptive and frequency domain adjustable frictional electric vibration sensor and its application in CNC machine tools
Nano Energy,
Год журнала:
2025,
Номер
unknown, С. 111002 - 111002
Опубликована: Апрель 1, 2025
Язык: Английский
Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence
Yi‐Feng Su,
D.L. Yin,
Xinmao Zhao
и другие.
Sensors,
Год журнала:
2025,
Номер
25(8), С. 2520 - 2520
Опубликована: Апрель 17, 2025
The
integration
of
Deep
Learning
with
sensor
technologies
has
significantly
advanced
the
field
intelligent
sensing
and
decision
making
by
enhancing
perceptual
capabilities
delivering
sophisticated
data
analysis
processing
functionalities.
This
review
provides
a
comprehensive
overview
synergy
between
sensors,
particular
focus
on
applications
triboelectric
nanogenerator
(TENG)-based
self-powered
sensors
combined
artificial
intelligence
(AI)
algorithms.
First,
evolution
is
reviewed,
highlighting
advantages,
limitations,
application
domains
several
classical
models.
Next,
innovative
in
autonomous
driving,
wearable
devices,
Industrial
Internet
Things
(IIoT)
are
discussed,
emphasizing
critical
role
neural
networks
precision
capabilities.
then
delves
into
TENG-based
introducing
their
mechanisms
based
contact
electrification
electrostatic
induction,
material
selection
strategies,
novel
structural
designs,
efficient
energy
conversion
methods.
algorithms
showcased
through
groundbreaking
motion
recognition,
smart
healthcare,
homes,
human–machine
interaction.
Finally,
future
research
directions
outlined,
including
multimodal
fusion,
edge
computing
integration,
brain-inspired
neuromorphic
computing,
to
expand
robotics,
space
exploration,
other
high-tech
fields.
offers
theoretical
technical
insights
collaborative
innovation
technologies,
paving
way
for
development
next-generation
systems.
Язык: Английский
A Clivia-like piezoelectric wind energy harvester using an overlapping multi-sheet structure
Applied Physics Letters,
Год журнала:
2025,
Номер
126(16)
Опубликована: Апрель 21, 2025
In
this
Letter,
a
Clivia-like
piezoelectric
wind
energy
harvester
(CL-PWEH)
using
an
overlapping
multi-sheet
structure
is
presented
to
enhance
the
robustness
of
wind-induced
vibration
harvesters
at
unpredictable
scenarios.
The
CL-PWEH
was
characterized
by
vibrators
independent
main
beam,
Clivia-leaf-style
vibrators,
and
rigid-flexible
contact
plucking.
feasibility
proposed
demonstrated
through
theoretical
analysis,
fabrication,
speed
responses
experiments.
results
showed
that
length
thickness
flexible
sheets
had
strong
influence
on
mode,
output
voltage,
effective
bandwidth,
cut-in
speed.
voltage
enhanced
with
rising
ratio,
bandwidth
decreased
increase
in
ratio.
addition,
maximum
power
5.82
mW
achieved
for
α
=
1.3,
β
4.5
optimum
load
resistance
300
kΩ.
Meanwhile,
application
as
supply
illustrated
prototype
could
light
up
200
blue
LEDs
series.
Язык: Английский
Hybrid Nanogenerator Harvesting Electric‐Field and Wind Energy for Self‐Powered Sensors on High‐Voltage Transmission Lines
Advanced Functional Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 8, 2024
Abstract
Triboelectric
nanogenerators
(TENGs)
show
potential
for
powering
distributed
sensors
in
the
smart
grids.
However,
most
studies
on
TENG's
applications
energy
harvesting
from
transmission
lines
primarily
focus
vibration
and
wind
energy,
neglecting
abundant
electric‐field
systems.
This
study
proposes
a
triboelectric‐electrostatic
hybrid
harvester
(TEHEH)
that
integrates
triboelectric
nanogenerator
with
an
(EFEH)
to
simultaneously
capture
surroundings
of
lines.
The
TENG
EFEH
can
generate
open‐circuit
voltages
1280
2800
V,
respectively,
output
powers
14.3
28.9
mW.
Hybrid
achieves
average
power
6.1
times
2.4
EFEH,
demonstrating
its
superiority.
dual‐channel
management
circuit,
utilizing
gas
discharge
tube
LTC‐3588,
enables
effectively
wireless
sensor
node,
practicality
complex
environments
work
offers
robust
technical
support
development
self‐powered
monitoring
devices
high‐voltage
Язык: Английский