Sustainability,
Journal Year:
2024,
Volume and Issue:
16(21), P. 9555 - 9555
Published: Nov. 2, 2024
For
decades,
fossil
fuels
have
been
the
backbone
of
reliable
energy
systems,
offering
unmatched
density
and
flexibility.
However,
as
world
shifts
toward
renewable
energy,
overcoming
limitations
intermittent
power
sources
requires
a
bold
reimagining
storage
integration.
Power-to-X
(PtX)
technologies,
which
convert
excess
electricity
into
storable
carriers,
offer
promising
solution
for
long-term
sector
coupling.
Recent
advancements
in
machine
learning
(ML)
revolutionized
PtX
systems
by
enhancing
efficiency,
scalability,
sustainability.
This
review
provides
detailed
analysis
how
ML
techniques,
such
deep
reinforcement
learning,
data-driven
optimization,
predictive
diagnostics,
are
driving
innovation
Power-to-Gas
(PtG),
Power-to-Liquid
(PtL),
Power-to-Heat
(PtH)
systems.
example,
has
improved
real-time
decision-making
PtG
reducing
operational
costs
improving
grid
stability.
Additionally,
diagnostics
powered
increased
system
reliability
identifying
early
failures
critical
components
proton
exchange
membrane
fuel
cells
(PEMFCs).
Despite
these
advancements,
challenges
data
quality,
processing,
scalability
remain,
presenting
future
research
opportunities.
These
to
decarbonizing
hard-to-electrify
sectors,
heavy
industry,
transportation,
aviation,
aligning
with
global
sustainability
goals.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 16, 2025
Abstract
The
integration
of
an
external
magnetic
field
into
electrocatalysis,
termed
magneto‐electrocatalysis,
can
target
efficiency
challenges
in
the
oxygen
evolution
reaction
(OER).
Reaction
rates
be
enhanced
through
improved
mass
transport
reactants
and
products,
manipulation
spin
states,
lowered
resistance.
OER
is
a
kinetic
bottleneck
electrocatalytic
water
splitting
for
sustainable
hydrogen
fuel.
Previous
studies
lack
comprehensive
analyses
consistent
reporting
effects,
resulting
varied
interpretations.
To
establish
optimized
reliable
systems
at
larger
scales,
significant
research
advancements
are
required.
This
perspective
explores
complex
impact
fields
on
OER,
emphasizing
interplay
between
various
mechanisms
such
as
spin‐polarization
intermediates,
Lorentz
force‐induced
magnetohydrodynamics,
magnetoresistance.
Here,
how
experimental
design
–
electrode
magnetism,
shape,
positioning,
reactor
setup
significantly
influence
these
highlighted.
Through
review
current
studies,
major
knowledge
gaps
propose
methodologies
identified
to
improve
reproducibility
comparability.
article
aims
guide
researchers
toward
development
more
efficient,
scalable
that
leverage
enhance
push
forward
commercial
green
production.
The
development
of
highly
efficient
oxygen
evolution
reaction
(OER)
electrocatalysts
is
pivotal
to
enhance
the
performance
alkaline
water
electrolyzers.
Herein,
a
facile
two-step
electrodeposition
method
developed
for
fabrication
nitrogen-doped
carbon
(NC)
and
manganese-incorporated
NiFe
layered
double
hydroxides
(LDHs)
supported
on
Ni
foam
(NF).
When
evaluated
in
1.0
M
KOH
solution,
optimized
material
NC20-Mn-NiFe
LDH
showed
excellent
OER
requiring
low
overpotentials
298
331
mV
achieve
high
current
densities
500
1000
mA
cm-2,
respectively,
no
loss
density
was
observed
at
fixed
potentials
1.53
1.57
V
125
h
each
case.
This
not
only
better
than
that
state-of-the-art
RuO2/NF
but
also
most
recently
reported
LDH-based
catalysts.
Such
remarkable
mainly
attributed
vertical
growth
sheets
NF,
facilitated
electron
transfer
charge
modulation
active
metal
sites
due
electron-withdrawing
electron-donating
effects
NC
Mn,
resulting
shift
rate-determining
step
from
OOH*
formation
O2
desorption
with
decreased
free
energy.
research
work
provides
further
insights
into
modulating
structure
materials
delivering
industrial-level
overpotentials.
Journal of Materials Chemistry A,
Journal Year:
2024,
Volume and Issue:
12(33), P. 22210 - 22219
Published: Jan. 1, 2024
An
in
situ
strategy
is
proposed
to
fabricate
a
Mott–Schottky
Ni/NiFeO
catalyst
composed
of
Ni
nanoparticles
over
NiFeO
nanosheets,
which
leads
charge
transfer
from
Fe
and
promotes
the
bifunctional
activity
for
HER
OER.
