Hydrogen,
Journal Year:
2024,
Volume and Issue:
5(4), P. 819 - 850
Published: Nov. 10, 2024
This
study
addresses
the
growing
need
for
effective
energy
management
solutions
in
university
settings,
with
particular
emphasis
on
solar–hydrogen
systems.
The
study’s
purpose
is
to
explore
integration
of
deep
learning
models,
specifically
MobileNetV2
and
InceptionV3,
enhancing
fault
detection
capabilities
AIoT-based
environments,
while
also
customizing
ISO
50001:2018
standards
align
unique
needs
academic
institutions.
Our
research
employs
comparative
analysis
two
models
terms
their
performance
detecting
solar
panel
defects
assessing
accuracy,
loss
values,
computational
efficiency.
findings
reveal
that
achieves
80%
making
it
suitable
resource-constrained
InceptionV3
demonstrates
superior
accuracy
90%
but
requires
more
resources.
concludes
both
offer
distinct
advantages
based
application
scenarios,
emphasizing
importance
balancing
efficiency
when
selecting
appropriate
system
management.
highlights
critical
role
continuous
improvement
leadership
commitment
successful
implementation
universities.
Energies,
Journal Year:
2025,
Volume and Issue:
18(3), P. 650 - 650
Published: Jan. 30, 2025
Hydrogen
has
emerged
as
a
critical
energy
carrier
for
achieving
global
decarbonization
and
supporting
sustainable
future.
This
review
explores
key
advancements
in
hydrogen
production
technologies,
including
electrolysis,
biomass
gasification,
thermochemical
processes,
alongside
innovations
storage
methods
like
metal
hydrides
liquid
organic
carriers
(LOHCs).
Despite
its
promise,
challenges
such
high
costs,
scalability
issues,
safety
concerns
persist.
Biomass
gasification
stands
out
dual
benefits
of
waste
management
carbon
neutrality
yet
hurdles
feedstock
variability
efficiency
need
further
attention.
also
identifies
opportunities
improvement,
developing
cost-effective
catalysts
hybrid
systems,
while
emphasizing
future
research
on
improving
tackling
bottlenecks.
By
addressing
these
challenges,
can
play
central
role
the
transition
to
cleaner
systems.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(10), P. 5224 - 5224
Published: May 8, 2025
This
research
models
a
20
MW
PEM
hydrogen
plant.
units
operate
in
the
60
to
80
°C
range
based
on
their
location
and
size.
study
aims
recover
waste
heat
from
modules
enhance
efficiency
of
In
order
heat,
two
systems
are
implemented:
(a)
recovering
each
module;
(b)
hot
water
produce
electricity
utilizing
an
organic
refrigerant
cycle
(ORC).
The
model
is
made
by
ASPEN®
V14.
After
modeling
plant
ORC,
module
optimized
using
Python
maximize
produced
turbine,
therefore
enhancing
efficiency.
system
closed-loop
operating
at
25
ambient
pressure.
electrolyzer
produces
363
kg/hr
2877
oxygen.
Based
higher
heating
value
hydrogen,
14,302.2
kWh
energy
equivalents.
ORC
maximized
increasing
output
turbine
reducing
pump
work
while
maintaining
conservation
mass
balance.
results
show
that
power
reaches
555.88
kW,
23.47
kW.
