Energy & Fuels,
Год журнала:
2024,
Номер
38(3), С. 2033 - 2045
Опубликована: Янв. 9, 2024
Machine
learning
(ML)
has
been
extensively
studied
and
applied
in
the
biomass
gasification
field
currently.
However,
insufficient
experimental
data
tends
to
cause
a
mismatch
between
ML
model
physical
mechanism,
particularly
for
feedstocks
that
do
not
appear
training
set,
becoming
significant
challenge
creating
credible
models
gasification.
Therefore,
this
study
proposes
disentangled
representation-aided
physics-informed
neural
network
method,
briefly
called
DR-PINN,
predict
syngas
components.
First,
DR-PINN
extracts
latent
variables
represent
feedstock
properties
through
representation
generates
synthetic
samples
gasification-related
variable
space
cover
full
range
of
types.
Then,
employs
inequality
constraints
embed
priori
monotonic
relationships
into
loss
function.
Finally,
are
simultaneously
considered
process
realize
synergy
complementarity
actual
information
existing
knowledge
using
an
evolutionary
algorithm.
As
result,
shows
good
prediction
performance
(the
within
set:
R2
≈
0.96,
root-mean-square
error
(RMSE)
1.7;
outside
0.81,
RMSE
3).
Moreover,
even
with
can
strictly
abide
by
prior
relationships,
consistency
degree
equal
1.
Overall,
proposed
demonstrates
superior
generalization
interpretability
compared
other
methods,
such
as
RF,
GBR,
SVM,
ANN,
PINN.
Green Chemical Engineering,
Год журнала:
2023,
Номер
5(4), С. 418 - 439
Опубликована: Окт. 21, 2023
Microalgae
cultivation
in
photobioreactors
has
emerged
as
a
promising
and
sustainable
approach
to
address
various
environmental
energy
challenges,
offering
multitude
of
benefits
across
diverse
applications.
Recent
developments
microalgae
have
contributed
substantially
the
development
optimization
bioprocesses.
This
manuscript
presents
comprehensive
analysis
recent
innovations
breakthroughs
field
cultivation,
with
specific
focus
on
their
application
photobioreactors,
aimed
at
paving
way
for
greener
future.
in-depth
examines
advantages
concentrating
its
effectiveness
wastewater
treatment,
CO2
bioremediation,
production
biofuels
high-value
products.
The
evaluates
effects
light,
solar
irradiation,
temperature,
nitrogen
phosphorus
concentrations
culture
media,
concentrations,
pH
growth
performance,
including
biomass
productivity.
study
also
open
systems
like
unstirred
ponds,
raceway
circular
ponds
closed
horizontal
tubular,
vertical
bubble-column,
airlift,
flat
panel,
plastic-bag
comparing
pros
cons.
To
optimize
key
factors
photobioreactor
design,
photosynthetic
efficiencies,
light-dark
(L-D)
cycles,
mass
transfer,
hydrodynamics
behavior,
pH,
are
extensively
investigated.
In
addition,
outlines
large-scale
highlights
challenges
opportunities
associated
scale-up
design
parameter
optimization,
genetic
engineering
economic
feasibility.
article
is
vital
resource
researchers,
engineers,
industry
professionals
seeking
bioprocesses
microalgae-based
technologies.
Ecotoxicology and Environmental Safety,
Год журнала:
2024,
Номер
270, С. 115908 - 115908
Опубликована: Янв. 1, 2024
The
depletion
of
fossil
fuel
reserves
has
resulted
from
their
application
in
the
industrial
and
energy
sectors.
As
a
result,
substantial
efforts
have
been
dedicated
to
fostering
shift
fuels
renewable
sources
via
technological
advancements
processes.
Microalgae
can
be
used
produce
biofuels
such
as
biodiesel,
hydrogen,
bioethanol.
are
particularly
suitable
for
hydrogen
production
due
rapid
growth
rate,
ability
thrive
diverse
habitats,
resolve
conflicts
between
food
production,
capacity
capture
utilize
atmospheric
carbon
dioxide.
Therefore,
microalgae-based
biohydrogen
attracted
significant
attention
clean
sustainable
achieve
neutrality
sustainability
nature.
To
this
end,
review
paper
emphasizes
recent
information
related
mechanisms
factors
affecting
by
microalgae,
bioreactor
design
advanced
strategies
improve
efficiency
along
with
bottlenecks
perspectives
overcome
challenges.
This
aims
collate
advances
new
knowledge
emerged
years
promote
adoption
an
alternative
conventional
hydrocarbon
biofuels,
thereby
expediting
target
that
is
most
advantageous
environment.
Process Safety and Environmental Protection,
Год журнала:
2024,
Номер
183, С. 555 - 567
Опубликована: Янв. 21, 2024
To
address
climate
change,
energy
security,
and
waste
management,
new
sustainable
sources
must
be
developed.
This
study
uses
Aspen
Plus
software
to
extract
bio-H2
from
food
with
the
goal
of
efficiency
environmental
sustainability.
Anaerobic
digestion,
optimised
operate
at
20–25
°C
keep
ammonia
3%,
greatly
boosted
biogas
production.
The
solvent
[Emim][FAP],
which
is
based
on
imidazolium,
had
excellent
performance
in
purifying
biogas.
It
achieved
a
high
level
methane
purity
while
consuming
minimal
amount
energy,
flow
rate
13.415
m³
/h.
Moreover,
utilization
higher
temperatures
(600–700
°C)
during
generation
phase
significantly
enhanced
both
quality
hydrogen
produced.
Parametric
sensitivity
assessments
were
methodically
performed
every
stage.
integrated
method
was
practicable
environmentally
friendly,
according
economic
assessment.
H2
using
steam
reforming
results
TCC
1.92
×
106
USD.
CO2
separation
step
has
costs
(TCC
2.15
×107
USD)
due
ionic
liquid
washing
liquefaction.
Compressor
electricity
consumption
impacts
total
operating
cost
(TOC),
totaling
4.73
108
showing
its
ability
reduce
greenhouse
gas
emissions,
optimize
resource
utilization,
promote
presents
solution
that
addresses
challenges.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Май 28, 2024
Abstract
Featuring
high
caloric
value,
clean-burning,
and
renewability,
hydrogen
is
a
fuel
believed
to
be
able
change
energy
structure
worldwide.
Biohydrogen
production
technologies
effectively
utilize
waste
biomass
resources
produce
high-purity
hydrogen.
Improvements
have
been
made
in
the
biohydrogen
process
recent
years.
However,
there
lack
of
operational
data
sustainability
analysis
from
pilot
plants
provide
reference
for
commercial
operations.
In
this
report,
based
on
spectrum
coupling,
thermal
effect,
multiphase
flow
properties
production,
continuous
pilot-scale
systems
(dark
photo-fermentation)
are
established
as
research
subject.
Then,
assessed
terms
sustainability.
The
system
being
evaluated,
consumes
171,530
MJ
emits
9.37
t
CO
2
eq
when
producing
1
H
,
has
payback
period
6.86
Our
also
suggests
future
pathways
towards
effective
technology
development
real-world
implementation.
