Sustainability,
Год журнала:
2024,
Номер
16(21), С. 9555 - 9555
Опубликована: Ноя. 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.
Penta-octagraphene
(POG)
is
a
newly
suggested
two-dimensional
carbon
allotrope
recognized
for
its
distinct
configuration
and
fascinating
electronic
characteristics.
This
work
presents
new
inorganic
counterpart
of
POG,
named
POG-B4C2N3,
designed
through
density
functional
theory
(DFT)
calculations.
structure
exhibits
direct
band
gap
transition
at
the
X-point,
measured
0.32/0.86
eV
with
PBE/HSE
functionals.
Mechanical
properties
were
comprehensively
assessed,
showcasing
Young's
modulus
(Ymax/Ymin
=
157.12/100.84
N/m)
shear
(Gmax/Gmin
83.03/38.09
N/m),
alongside
Poisson's
ratio
(νmax/νmin
0.58/-0.09),
indicating
that
POG-B4C2N3
an
auxetic
material.
Additionally,
Li
decoration
on
this
monolayer
was
studied
to
investigate
potential
enhance
hydrogen
storage
physisorption.
The
Li@POG-B4C2N3
system
shows
robust
physisorption
(adsorption
energies
ranging
from
−0.35
−0.19
eV),
high
capacity
(8.35
wt
%),
effective
desorption
dynamics,
positioning
novel
material
as
promising
platform
reversible
storage.
