International Journal of Hydrogen Energy,
Год журнала:
2024,
Номер
69, С. 837 - 854
Опубликована: Май 11, 2024
Hydrogen
is
a
vital
resource
in
the
fight
against
climate
change,
and
it
has
potential
to
revolutionize
energy
sector.
Our
research
focused
on
optimizing
production
of
high-purity
hydrogen
using
coke
oven
gas
(COG),
valuable
source
steel
industry.
By
leveraging
advanced
artificial
neural
networks
(ANNs),
we
can
predict
performance
exergy
efficiency
6-bed
12-step
vacuum
pressure
swing
adsorption
(VPSA)
process
accurately
efficiently.
The
Pareto
fronts
were
addressed
by
combining
evolutionary
algorithm
with
ANNs,
effects
operating
parameters
discussed
detail.
Importantly,
found
that
our
VPSA
achieve
purity
99.99%
45.2%
efficiency.
We
also
demonstrated
ANNs
significantly
enhance
optimization,
making
tool
for
extracting
from
COG.
ChemBioEng Reviews,
Год журнала:
2024,
Номер
11(2), С. 386 - 405
Опубликована: Янв. 31, 2024
Abstract
The
hydrogen
production
from
natural
gas
has
advantages
of
low
investment,
carbon
emission,
and
high
rate.
This
paper
briefly
describes
the
technical
overview
reforming
identifies
its
risk
factors.
According
to
dangerous
characteristics
reaction
temperature,
easy
leakage
medium,
flammability,
explosion
in
process,
intrinsic
safety
process
is
discussed
combination
with
relevant
research
industrial
experience.
requirements
key
equipment
materials
are
introduced
detail,
followed
by
optimization
methods
that
can
be
taken
engineering
process.
Besides,
accident
prevention
measures
for
emergency
shutdown
fire
summarized.
Finally,
future
demands
put
forward
perspective
development,
which
instructive
safe
future.
Fusion Science & Technology,
Год журнала:
2024,
Номер
80(7), С. 803 - 825
Опубликована: Янв. 22, 2024
Fossil
fuels
provide
over
80%
of
the
world's
current
energy
demand,
which
results
in
release
large
amounts
greenhouse
gases
(GHGs).
In
contrast
to
emissions
GHGs
caused
by
combustion
fossil
fuels,
hydrogen
produces
only
water
as
a
waste
product.
Hydrogen
is
more
environmentally
friendly
alternative
fuel.
The
production
has
potential
address
security
issues
such
climate
change
and
air
pollution.
There
an
increasing
global
interest
hydrogen,
particularly
green
produced
electrolyzing
using
power
derived
from
renewable
resources.
Because
falling
prices
growing
urgency
decarbonization,
demand
for
headed
transportation
industrial
sectors,
might
increase
about
400%
2050.
Furthermore,
will
result
reduction
3.6
gigatonnes
total
carbon
dioxide
between
2020
highest
density
any
known
fuel,
it
widely
available
enormous
quantities
all
planet.
It
possible
that
2050,
India's
need
have
increased
factor
4,
accounting
than
10%
consumption.
Steel
heavy-duty
are
expected
account
52%
overall
growth
now
market
value
India
reach
$8
billion
2030
$340
capacity
create
sources
time,
country
can
produce
ecologically
beneficial
solar
wind
when
low.
Physical
adsorption
polymer
membranes
be
employed
extract
crude
polluted
with
hydrocarbons.
This
done
clean
hydrogen.
purity
important
aspect
determining
whether
used
process.
Unlike
other
types
separation
technologies,
membrane
processes
both
mobile
small-scale
applications.
may
function
properly
under
wide
range
pressure
temperature
extremes.
fundamental
objective
goal
reactors
synchronous
purification.
Other
competing
methods,
swing
cryogenic
distillation,
do
not
compare
favorably
approach
at
lower
operating
temperatures.
because
takes
fewer
resources
ones
been
around
longer
time.
article
discusses
various
substance
separation,
how
made
variety
challenges
inherent
doing
so,
prospects
future,
terms
efficiency
separation.
International Journal of Hydrogen Energy,
Год журнала:
2024,
Номер
69, С. 837 - 854
Опубликована: Май 11, 2024
Hydrogen
is
a
vital
resource
in
the
fight
against
climate
change,
and
it
has
potential
to
revolutionize
energy
sector.
Our
research
focused
on
optimizing
production
of
high-purity
hydrogen
using
coke
oven
gas
(COG),
valuable
source
steel
industry.
By
leveraging
advanced
artificial
neural
networks
(ANNs),
we
can
predict
performance
exergy
efficiency
6-bed
12-step
vacuum
pressure
swing
adsorption
(VPSA)
process
accurately
efficiently.
The
Pareto
fronts
were
addressed
by
combining
evolutionary
algorithm
with
ANNs,
effects
operating
parameters
discussed
detail.
Importantly,
found
that
our
VPSA
achieve
purity
99.99%
45.2%
efficiency.
We
also
demonstrated
ANNs
significantly
enhance
optimization,
making
tool
for
extracting
from
COG.
