Renewable and Sustainable Energy Reviews,
Journal Year:
2024,
Volume and Issue:
194, P. 114304 - 114304
Published: Feb. 12, 2024
The
sodium-ion
battery
(Na-ion
battery,
NIB)
is
considered
the
most
promising
post-lithium
energy
storage
technology,
taking
advantage
of
using
same
manufacturing
technology
as
Li-ion
batteries
(LIBs),
while
enabling
use
more
abundant
and
economic,
thus
sustainable,
raw
materials.
Due
to
inability
Na+
ions
be
intercalated
within
graphene-layered
structure
graphite-based
electrodes
(the
state
art
anode
material
in
LIBs),
highly
disordered
microporous
carbons,
known
hard
are
choice
for
NIB
technology.
Biomass-derived
biochar
(BC)
one
relevant
classes
exhibiting
a
good
combination
sustainable
fabrication,
structural-morphological
features
electrochemical
performances.
In
this
review,
main
achievements
on
BC
rigorously
reported
from
production
application
into
NIBs,
with
particular
emphasis
strategies
improve
behaviour
by
activating
it
tailoring
its
chemical
structural
properties.
These
include
selecting
specific
feedstocks,
modulation
pyrolysis
temperature,
pre-
post-production
treatments,
materials
engineering.
possible
role
NIBs
development
also
briefly
discussed,
together
some
insights
other
post-Li
systems
concluding
remarks
future
direction
research.
Biotechnology Advances,
Journal Year:
2023,
Volume and Issue:
67, P. 108181 - 108181
Published: June 1, 2023
The
sustainable
utilization
of
biochar
produced
from
biomass
waste
could
substantially
promote
the
development
carbon
neutrality
and
a
circular
economy.
Due
to
their
cost-effectiveness,
multiple
functionalities,
tailorable
porous
structure,
thermal
stability,
biochar-based
catalysts
play
vital
role
in
biorefineries
environmental
protection,
contributing
positive,
planet-level
impact.
This
review
provides
an
overview
emerging
synthesis
routes
for
multifunctional
catalysts.
It
discusses
recent
advances
biorefinery
pollutant
degradation
air,
soil,
water,
providing
deeper
more
comprehensive
information
catalysts,
such
as
physicochemical
properties
surface
chemistry.
catalytic
performance
deactivation
mechanisms
under
different
systems
were
critically
reviewed,
new
insights
into
developing
efficient
practical
large-scale
use
various
applications.
Machine
learning
(ML)-based
predictions
inverse
design
have
addressed
innovation
with
high-performance
applications,
ML
efficiently
predicts
biochar,
interprets
underlying
complicated
relationships,
guides
synthesis.
Finally,
benefit
economic
feasibility
assessments
are
proposed
science-based
guidelines
industries
policymakers.
With
concerted
effort,
upgrading
protection
reduce
pollution,
increase
energy
safety,
achieve
management,
all
which
beneficial
attaining
several
United
Nations
Sustainable
Development
Goals
(UN
SDGs)
Environmental,
Social
Governance
(ESG).
Biofuel Research Journal,
Journal Year:
2023,
Volume and Issue:
10(1), P. 1786 - 1809
Published: Feb. 28, 2023
Thermochemical
treatment
is
a
promising
technique
for
biomass
disposal
and
valorization.
Recently,
machine
learning
(ML)
has
been
extensively
used
to
predict
yields,
compositions,
properties
of
biochar,
bio-oil,
syngas,
aqueous
phases
produced
by
the
thermochemical
biomass.
ML
demonstrates
great
potential
aid
development
processes.
The
present
review
aims
1)
introduce
schemes
strategies
as
well
descriptors
input
output
features
in
processes;
2)
summarize
compare
up-to-date
research
both
ML-aided
wet
(hydrothermal
carbonization/liquefaction/gasification)
dry
(torrefaction/pyrolysis/gasification)
(i.e.,
predicting
oil/char/gas/aqueous
thermal
conversion
behavior
or
kinetics);
3)
identify
gaps
provide
guidance
future
studies
concerning
how
improve
predictive
performance,
increase
generalizability,
mechanistic
application
studies,
effectively
share
data
models
community.
processes
envisaged
be
greatly
accelerated
near
future.
Biochar,
Journal Year:
2022,
Volume and Issue:
4(1)
Published: Nov. 29, 2022
Abstract
Biochar
produced
from
pyrolysis
of
biomass
has
been
developed
as
a
platform
carbonaceous
material
that
can
be
used
in
various
applications.
The
specific
surface
area
(SSA)
and
functionalities
such
N-containing
functional
groups
biochar
are
the
most
significant
properties
determining
application
performance
carbon
areas,
removal
pollutants,
adsorption
CO
2
H
,
catalysis,
energy
storage.
Producing
with
preferable
SSA
N
is
among
frontiers
to
engineer
materials.
This
study
attempted
build
machine
learning
models
predict
optimize
(SSA-char),
content
(N-char),
yield
(Yield-char)
individually
or
simultaneously,
by
using
elemental,
proximate,
biochemical
compositions
conditions
input
variables.
predictions
Yield-char,
N-char,
SSA-char
were
compared
random
forest
(RF)
gradient
boosting
regression
(GBR)
models.
GBR
outperformed
RF
for
predictions.
When
parameters
included
elemental
proximate
well
conditions,
test
R
values
single-target
multi-target
0.90–0.95
except
two-target
prediction
Yield-char
which
had
0.84
three-target
model
0.81.
As
indicated
Pearson
correlation
coefficient
between
variables
feature
importance
these
models,
top
influencing
factors
toward
predicting
three
targets
specified
follows:
temperature,
residence
time,
fixed
Yield-char;
ash
N-char;
temperature
SSA-char.
effects
on
different,
but
trade-offs
balanced
during
ML
optimization.
optimum
solutions
then
experimentally
verified,
opens
new
way
designing
smart
target
oriented
potential.
Graphical
Resources,
Journal Year:
2024,
Volume and Issue:
13(1), P. 8 - 8
Published: Jan. 5, 2024
The
global
impact
of
water
and
soil
contamination
has
become
a
serious
issue
that
affects
the
world
all
living
beings.
In
this
sense,
multiple
treatment
alternatives
have
been
developed
at
different
scales
to
improve
quality.
Among
them,
biochar
suitable
alternative
for
environmental
remediation
due
its
high
efficiency
low
cost,
raw
material
used
production
comes
from
residual
biomass.
A
is
carbonaceous
with
interesting
physicochemical
properties
(e.g.,
surface
area,
porosity,
functional
groups),
which
can
be
prepared
by
synthesis
methods
using
agricultural
wastes
(branches
banana
rachis,
cocoa
shells,
cane
bagasse,
among
others)
as
feedstock.
This
state-of-the-art
review
based
on
general
description
remediation.
Biochar’s
production,
synthesis,
uses
also
analyzed.
addition,
work
shows
some
thus
several
applications,
like
removing
heavy
metals,
oil,
dyes,
other
toxic
pollutants.
Physical
chemical
modifications,
precursors,
dopants,
promoting
agents
Fe
N
species)
discussed.
Finally,
primary
corresponding
mechanism
quality
(via
adsorption,
heterogeneous
photocatalysis,
advanced
oxidation
processes)
described,
both
laboratory
medium
large
scales.
Considering
advantages,
methods,
promising
potential
mitigate
problems
improving
quality,
reducing
greenhouse
gas
emissions,
circular
economy
through
biomass,
generating
value-added
products
uses.
