Journal of Cleaner Production,
Год журнала:
2024,
Номер
469, С. 143193 - 143193
Опубликована: Июль 18, 2024
Biochar
briquettes
stand
as
the
current
frontrunner
for
cost-effective
and
sustainable
substitutes
fossil
fuels
in
both
energy
industrial
sectors.
Produced
through
thermochemical
conversion
of
biomass
to
biochar
followed
by
densification,
this
process
yields
a
renewable
briquette
that
imitate
coal
mechanical
attributes
combustion
efficiency,
while
maintaining
carbon-neutral
profile.
Findings
indicates
substituting
has
potential
reduce
methane
(CH4)
carbon
dioxide
(CO2)
emissions
approximately
40%.
The
densification
stage
plays
crucial
role
converting
which
low
bulk
density
(0.2
g
cm−3
0.4
cm−3),
into
coal-like
product.
Thus,
effectively
addressing
concerns
associated
with
handling,
transportation,
storage.
To
ensure
fabrication
high-quality
briquettes,
particular
attention
must
be
directed
towards
choice
binder,
compaction
technology,
operational
conditions.
In
addition,
critical
quality
parameters
such
density,
durability,
calorific
value,
volatile
species
are
influenced
binder.
optimal
binder
loading
ranges
from
5
15%
depending
on
feedstock
pyrolysis
temperature.
produced
under
these
conditions
tend
exhibit
durability
values
ranging
70%–90%.
While
existing
literature
offers
broad
insights
various
types,
available
technologies,
options
briquetting,
more
comprehensive
understanding
how
factors
impact
environmental
performance
is
lacking.
This
review
aims
bridge
knowledge
gap.
By
enhancing
improve
increase
strength,
pollutant
emissions,
there
real
accelerating
transition
away
traditional
fuel
like
variety
applications
where
it
challenging
decarbonize
production
systems.
Sustainable Development,
Год журнала:
2023,
Номер
31(5), С. 3175 - 3195
Опубликована: Май 24, 2023
Abstract
Food
security
is
a
global
challenge
that
aligns
with
several
Sustainable
Development
Goals
(SDGs),
including
SDG
1
‐
“No
Poverty”,
2
“Zero
Hunger,”
3
“Good
Health
and
Well‐being,”
13
“Climate
Action,”
15
“Life
on
Land.”.
To
effectively
address
this
issue,
convergence
of
agriculture
technology
crucial,
incorporating
precision
agriculture,
sustainable
bio‐economy
advanced
technologies
such
as
machineries,
Artificial
intelligence‐meachine
learning
geospatial
technology.
Recent
trends
in
food
worldwide
have
witnessed
the
adoption
technological
advancements.
However,
it
important
to
consider
biodiversity
when
implementing
adopting
The
integration
agricultural
practices
aim
reduce
chemical
usage
farms,
while
increased
production
remains
main
objective
smart
farming
Precision
Agriculture.
By
minimizing
use
or
localized
approaches
for
chemicals
we
can
preserve
soil‐faunal
diversity,
which
at
risk
along
targets
due
excessive
applications
pesticides,
herbicides,
insecticides.
Geospatial
plays
significant
role
by
leveraging
remotely
sensed
images
acquired
through
satellites,
aerial
platforms,
GPS‐tagged
drones
enhance
practices,
improve
crop
growth
increase
yields.
Through
technology,
map
monitor
soil
conditions,
conserve,
protect,
manage
scale.
remote
sensing
ecological
environmental
parameters,
factors,
plant‐soil
diversity
optimize
yields
productivity.
Additionally,
evaluation
various
bio‐economy,
using
contribute
yields,
profitability,
conservation
central
components
these
practices.
This
study
emphasizes
achieving
objectives
attainable
has
direct
indirect
connections
all
SDGs.
vital
supporting
spatial
temporal
scales
facilitating
ensuring
security,
preserving
biodiversity,
monitoring
promoting
development.
Advanced Functional Materials,
Год журнала:
2024,
Номер
34(11)
Опубликована: Янв. 18, 2024
Abstract
The
practical
application
of
hard
carbon
in
sodium‐ion
batteries
is
limited
by
insufficient
reversible
capacity
and
low
initial
Coulombic
efficiency
(ICE),
which
are
caused
the
lack
active
sites
unstable
electrode/electrolyte
interface.
Herein,
a
biomass‐derived
material
based
on
tea
stems
proposed,
exhibits
an
ultrahigh
ICE
90.8%.
This
remarkable
attributed
to
presence
inorganic‐rich,
thin,
robust
solid
electrolyte
interface
(SEI)
layer.
Furthermore,
demonstrates
excellent
cycling
stability,
showing
retention
99.5%
after
500
cycles
at
280
mA
g
−1
.
Additionally,
when
it
works
as
anode
full
cell
without
presodiation,
reaches
high
energy
density
212
Wh
kg
superior
e.g.,
retaining
93.1
mAh
1000
1
A
with
91.3%.
sodium
storage
this
primarily
combined
adsorption‐intercalation/filling
effect
confirmed
situ
XRD
ex
Raman
analyses.
These
findings
make
promising
candidate
for
commercial
batteries,
achieving
performance
cost.
ABSTRACT
Machine
learning
(ML),
material
genome,
and
big
data
approaches
are
highly
overlapped
in
their
strategies,
algorithms,
models.
They
can
target
various
definitions,
distributions,
correlations
of
concerned
physical
parameters
given
polymer
systems,
have
expanding
applications
as
a
new
paradigm
indispensable
to
conventional
ones.
Their
inherent
advantages
building
quantitative
multivariate
largely
enhanced
the
capability
scientific
understanding
discoveries,
thus
facilitating
mechanism
exploration,
prediction,
high‐throughput
screening,
optimization,
rational
inverse
designs.
This
article
summarizes
representative
progress
recent
two
decades
focusing
on
design,
preparation,
application,
sustainable
development
materials
based
exploration
key
composition–process–structure–property–performance
relationship.
The
integration
both
data‐driven
insights
through
ML
deepen
fundamental
discover
novel
is
categorically
presented.
Despite
construction
application
robust
models,
strategies
algorithms
deal
with
variant
tasks
science
still
rapid
growth.
challenges
prospects
then
We
believe
that
innovation
will
thrive
along
approaches,
from
efficient
design
applications.
Nano-Micro Letters,
Год журнала:
2025,
Номер
17(1)
Опубликована: Фев. 6, 2025
Abstract
The
advancement
of
materials
has
played
a
pivotal
role
in
the
human
civilization,
and
emergence
artificial
intelligence
(AI)-empowered
science
heralds
new
era
with
substantial
potential
to
tackle
escalating
challenges
related
energy,
environment,
biomedical
concerns
sustainable
manner.
exploration
development
are
poised
assume
critical
attaining
technologically
advanced
solutions
that
environmentally
friendly,
energy-efficient,
conducive
well-being.
This
review
provides
comprehensive
overview
current
scholarly
progress
intelligence-powered
its
cutting-edge
applications.
We
anticipate
AI
technology
will
be
extensively
utilized
material
research
development,
thereby
expediting
growth
implementation
novel
materials.
serve
as
catalyst
for
innovation,
turn,
advancements
innovation
further
enhance
capabilities
AI-powered
science.
Through
synergistic
collaboration
between
science,
we
stand
realize
future
propelled
by
