Biofuels Bioproducts and Biorefining,
Journal Year:
2024,
Volume and Issue:
18(2), P. 567 - 593
Published: Feb. 5, 2024
Abstract
Biochar
is
emerging
as
a
potential
solution
for
biomass
conversion
to
meet
the
ever
increasing
demand
sustainable
energy.
Efficient
management
systems
are
needed
in
order
exploit
fully
of
biochar.
Modern
machine
learning
(ML)
techniques,
and
particular
ensemble
approaches
explainable
AI
methods,
valuable
forecasting
properties
efficiency
biochar
properly.
Machine‐learning‐based
forecasts,
optimization,
feature
selection
critical
improving
techniques.
In
this
research,
we
explore
influences
these
techniques
on
accurate
yield
range
sources.
We
emphasize
importance
interpretability
model,
improves
human
comprehension
trust
ML
predictions.
Sensitivity
analysis
shown
be
an
effective
technique
finding
crucial
characteristics
that
influence
synthesis
Precision
prognostics
have
far‐reaching
ramifications,
influencing
industries
such
logistics,
technologies,
successful
use
renewable
These
advances
can
make
substantial
contribution
greener
future
encourage
development
circular
biobased
economy.
This
work
emphasizes
using
sophisticated
data‐driven
methodologies
synthesis,
usher
ecologically
friendly
energy
solutions.
breakthroughs
hold
key
more
environmentally
future.
Chemosphere,
Journal Year:
2023,
Volume and Issue:
318, P. 137937 - 137937
Published: Jan. 23, 2023
The
aim
of
this
work
was
to
evaluate
the
feasibility
treating
food
waste
generated
from
a
hawker
centre
in
pilot-scale
anaerobic
digester
operating
on
site
an
urban
area
Singapore.
For
purpose,
10.4
m3
housed
within
two
20
feet
containerized
systems
and
sited
adjacent
centre.
system
reported
during
startup
phase,
for
over
71
days
real
varying
wastes
loading
rate.
results
demonstrated
that
decentralized
had
average
specific
methane
yield
0.55
±
0.04
m3CH4/kgVS,
with
concentrations
56.6
2.3%.
power
generation
output,
energy
assessment
revealed
2.05
0.57
m3/kW
h
consumption
Accordingly,
last
day
inoculum
richer
organisms
phylum
Thermoplasmatota,
i.e.,
genera
Candidatus_Methanogranum
Candidatus_Methanoplasma,
alongside
other
dominant
abundance
phyla
Bacteroidota,
Firmicutes,
Synergistota,
Verrucomicrobiota.
This
study
provides
new
insights
into
pilot
scale
digestion
relate
characterizations
microbial
communities,
as
well
turning
typical
integrated
waste-to-energy
reality.
Waste Management,
Journal Year:
2023,
Volume and Issue:
161, P. 29 - 42
Published: Feb. 28, 2023
Inhibitory
pathways
in
dry
anaerobic
digestion
are
still
understudied
and
current
knowledge
on
wet
processes
cannot
be
easily
transferred.
This
study
forced
instability
pilot-scale
digesters
by
operating
at
short
retention
times
(40
33
days)
order
to
understand
inhibition
over
long
term
operation
(145
days).
The
first
sign
of
elevated
total
ammonia
concentrations
(8
g/l)
was
a
headspace
hydrogen
level
the
thermodynamic
limit
for
propionic
degradation,
causing
accumulation.
combined
inhibitory
effect
accumulation
resulted
further
increased
partial
pressures
n-butyric
relative
abundance
Methanosarcina
while
that
Methanoculleus
decreased
as
deteriorated.
It
hypothesized
high
ammonia,
solids
organic
loading
rate
inhibited
syntrophic
acetate
oxidisers,
increasing
their
doubling
time
resulting
its
wash
out,
which
turn
hydrogenotrophic
methanogenesis
shifted
predominant
methanogenic
pathway
towards
acetoclastic
free
1.5
g/l.
C/N
increases
25
29
reduced
inhibitors
but
did
not
avoid
or
washout
oxidising
bacteria.
