Although
composting
has
many
advantages
in
the
treatment
of
organic
waste,
there
are
still
problems
and
challenges
associated
with
emissions,
like
NH3,
VOCs,
H2S,
as
well
greenhouse
gases
such
CO2,
CH4,
N2O.
One
promising
approach
to
enhancing
conditions
is
used
novel
analytical
methods
bad
on
artificial
intelligence.
To
predict
optimize
emissions
(CO,
NH3)
during
process
kinetics
thought
mathematical
models
(MM)
machine
learning
(ML)
were
utilized.
Data
about
everyday
from
laboratory
compost’s
biochar
different
incubation
(50,
60,
70
°C)
doses
(0,
3,
6,
9,
12,
15%
d.m.)
for
MM
ML
selections
training.
not
been
very
effective
predicting
(R2
0.1
-
0.9),
while
acritical
neural
network
(ANN,
Bayesian
Regularized
Neural
Network;
R2
accuracy
CO:0,71,
CO2:0,81,
NH3:0,95,
H2S:0,72))
decision
tree
(DT,
RPART;
CO:0,693,
CO2:0,80,
NH3:0,93,
H2S:0,65)
have
demonstrated
satisfactory
results.
For
first
time
CO
H2S
demonstrated.
Further
research
a
semi-scale
field
study
needed
improve
developments
models.
Sustainable Production and Consumption,
Год журнала:
2024,
Номер
48, С. 123 - 142
Опубликована: Май 13, 2024
This
study
provides
a
comprehensive
review
of
the
environmental
impacts
associated
with
seaweed
cultivation
and
utilization
in
various
industries,
focusing
on
life
cycle
assessment
(LCA)
studies.
There
is
remarkable
disparity
distribution
LCA
Asia
produces
97
%
global
seaweed,
but
accounts
for
only
25
research.
In
contrast,
Europe,
which
0.8
production,
responsible
70
Current
practices
result
low
emissions
0.02–0.08
CO2-equivalents
(CO2
eq)/kg
wet
seaweed.
Cultivation
may
yield
climate
benefits
if
biogenic
carbon
uptake
sequestration
are
considered.
However,
stability
stored
requires
further
Seaweeds
have
significant
potential
sectors,
including
bioenergy,
food,
feed,
fertilizer,
nanomaterials,
construction,
cosmetics,
supporting
circular
bioeconomy.
hotspots
include
energy
use
drying,
fuel
transport,
infrastructure
processing
phase.
Various
mitigation
strategies
recirculation
by-products,
extending
life,
recycling
infrastructure,
using
biodegradable
materials,
adopting
renewable
optimizing
productivity
content
valuable
ingredients,
refining
system
design
resource
efficiency,
developing
biorefineries,
investigating
alternative
species.
The
diverse
functional
units
used
LCAs
limit
comparisons
between
Challenges
research
lack
standardized
methodologies
varied
production
systems,
local
ecosystems,
data
limitations,
often
to
terrestrial
alternatives.
Seaweed
has
promote
sustainability
certain
sectors.
needed
optimize
seaweeds
as
sustainable
resource.
International Journal of Green Energy,
Год журнала:
2024,
Номер
21(12), С. 2771 - 2798
Опубликована: Март 14, 2024
Examining
the
game-changing
possibilities
of
explainable
machine
learning
techniques,
this
study
explores
fast-growing
area
biochar
production
prediction.
The
paper
demonstrates
how
recent
advances
in
sensitivity
analysis
methodology,
optimization
training
hyperparameters,
and
state-of-the-art
ensemble
techniques
have
greatly
simplified
enhanced
forecasting
output
composition
from
various
biomass
sources.
argues
that
white-box
models,
which
are
more
open
comprehensible,
crucial
for
prediction
light
increasing
suspicion
black-box
models.
Accurate
forecasts
guaranteed
by
these
AI
systems,
also
give
detailed
explanations
mechanisms
generating
outcomes.
For
models
to
gain
confidence
processes
enable
informed
decision-making,
there
must
be
an
emphasis
on
interpretability
openness.
comprehensively
synthesizes
most
critical
features
a
rigorous
assessment
current
literature
relies
authors'
own
experience.
Explainable
encourage
ecologically
responsible
decision-making
improving
forecast
accuracy
transparency.
Biochar
is
positioned
as
participant
solving
global
concerns
connected
soil
health
climate
change,
ultimately
contributes
wider
aims
environmental
sustainability
renewable
energy
consumption.
Environmental Research Letters,
Год журнала:
2023,
Номер
18(7), С. 074013 - 074013
Опубликована: Июнь 2, 2023
Abstract
Methods
for
carbon
sequestration
are
warranted
to
tackle
climate
change
caused
by
greenhouse
gases
released
from
anthropogenic
activities.
Seaweed
is
a
type
of
marine
plant
that
utilizes
dioxide
photosynthesis
and
has
substantial
capacity
sequestrate
carbon.
Despite
the
huge
potential,
long-lasting
(LLCS)
seaweed
never
been
calculated
throughout
its
whole
life
cycle
(nursery,
temporary
rearing,
maturation,
harvesting,
processing).
In
this
paper,
we
use
assessment
(LCA)
approach
calculate
LLCS
seaweed,
which
can
be
understood
as
difference
between
fixation
seaweed.
Using
kelp
(
Laminaria
japonica
)
an
example
present
study
validates
procedure
calculating
in
Ailian
Bay
nursery
processing
into
biochar
(fertilizer)
final
product.
The
results
showed
(full
cycle)
was
97.73
g
C
m
−2
year.
Biomass
accounts
approximately
86%
total
value
(982.53
year)
absorption
source
Bay,
with
remaining
14%
consisting
recalcitrant
dissolved
organic
sedimentary
Moreover,
amount
biomass
sequestrated
production
China
2010
2020.
Thus,
demonstrates
mass
utilized
efficient
method
feasible
evaluating
effect
farms
on
change.
