Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 4, 2023
Abstract
Bioenergy
utilizing
carbon-neutral
biomass
is
significant
for
power
generation.
For
economic
feasibility
and
to
avoid
food
vs.
energy
issues,
various
types
of
waste
have
been
studied
as
renewable
feedstock.
Herein,
medium-density
fiberboard
(MDF)
particle
board
(PB),
which
are
main
components
furniture,
were
used
steam
explosion
torrefaction.
The
optimum
torrefaction
conditions
controlled
by
the
severity
index
(R
o
),
resulting
in
an
R
3.72
4.01
MDF
PB,
respectively.
Additionally,
torrefied
PB
suitable
Bio-Solid
Refuse
Fuel
(SRF)
quality
standard,
thereby
indicating
that
explosion-torrefied
can
use
solid-type
biofuel.
This
first
report
presenting
potential
furniture
a
biofuel
source
results
provide
insights
on
valorization
municipal
(e.g.,
furniture)
suggest
strategies
address
recent
climate
crisis
providing
solutions
management.
Results in Engineering,
Год журнала:
2024,
Номер
23, С. 102767 - 102767
Опубликована: Авг. 26, 2024
This
study
investigated
the
torrefaction
of
durian
peel
using
air
and
nitrogen
as
carrier
gases.
A
multilevel
factorial
design
coupled
with
response
surface
methodology
(RSM)
ANOVA
analysis
was
employed
to
analyze
impact
parameters
on
chemical
properties
energy
yield.
Durian
peel,
an
agricultural
waste
product,
torrefied
at
temperatures
ranging
from
200
320
°C
for
residence
times
between
0
30
min.
Results
showed
that
significantly
enhanced
thermal
decomposition,
reducing
mass
yield
94.65
%
30.63
temperature
increased
300
a
30-min
holding
time.
Air
also
higher
heating
value
(HHV)
19.02
MJ/kg
35.26
°C,
compared
nitrogen,
which
achieved
maximum
HHV
32.49
MJ/kg.
revealed
gas
affect
properties.
positively
affected
while
nitrogen.
Low-temperature
improvement.
These
findings
provided
insights
optimizing
processes
enhancing
utilization
wasted
sustainable
bioenergy
resource.
Green Chemistry,
Год журнала:
2024,
Номер
26(18), С. 9652 - 9670
Опубликована: Янв. 1, 2024
This
paper
reports
on
the
dry
and
wet
torrefaction
pretreatment
for
upgrading
low-rank
biomass
sources
to
enhance
gasification
process
with
benefits
of
H
2
-rich
syngas
production
tar
reduction.
ChemBioEng Reviews,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 14, 2025
Abstract
Global
energy
consumption
has
drastically
increased
over
the
years
due
to
population
growth
and
industrialization.
This
prompted
an
exploration
for
clean
renewable
alternatives.
Microalgae
are
widely
recognized
as
a
promising
third‐generation
source
because
they
have
capability
generate
biofuels,
including
biochar.
The
utilization
of
microalgal
biomass
been
gaining
traction
their
advantages,
such
fast
growth,
high
rate
production,
carbon‐fixing
efficiency.
Thermochemical
methods
like
hydrothermal
carbonization,
torrefaction,
pyrolysis
can
be
employed
harness
from
microalgae.
different
thermochemical
converting
into
biochar
discussed,
well
factors
affecting
these
methods.
In
addition,
dedicated
section
covered
components
properties
generated
biochar,
its
thermal
surface
properties.
Furthermore,
economic
analysis
production
microalgae
applications
microalgae‐derived
were
presented
along
with
suggestions
further
research.
ACS Omega,
Год журнала:
2025,
Номер
10(7), С. 6470 - 6501
Опубликована: Фев. 13, 2025
Energy
plays
a
key
role
in
the
socioeconomic
development
of
society,
and
most
its
global
demand
is
provided
by
conventional
resources
(e.g.,
fossil
fuels).
Utilizing
renewable
energy
significantly
growing
since
it
can
meet
while
minimizing
adverse
impacts
carbon
emissions
on
climate
change.
Biomass
an
appealing
option
among
emerging
alternatives
wind
solar).
Torrefaction
mild
pyrolysis
process,
this
research
aims
to
analyze
torrefaction
process
lignocellulosic
biomass.
The
methodology
proposed
involves
employing
hybrid
models
artificial
neural
network-particle
swarm
optimization
(ANN-PSO),
adaptive
neuro-fuzzy
inference
system
(ANFIS),
coupled
simulated
annealing-least-squares
support
vector
machine
(CSA-LSSVM).
In
addition
learning
algorithms,
correlation
developed
using
gene
expression
programming
(GEP)
interrelate
biomass
properties,
including
moisture
content,
volatile
matter,
fixed
carbon,
ash,
sample
size,
contents
oxygen,
hydrogen,
nitrogen
along
with
operating
condition
encompassing
residence
time,
temperature,
concentration
CO2,
O2,
N2
solid
yield
as
target
variable.
results
reveal
that
CSA-LSSVM
model
has
highest
accuracy,
statistical
metrics
coefficient
determination
(R2),
mean
square
error
(MSE),
average
absolute
relative
percentage
(AARE%)
are
0.98,
0.00082,
2.61%,
respectively.
parametric
sensitivity
analysis
demonstrates
content
influential
variables,
temperature
playing
crucial
findings
be
used
assess
similar
torrefaction,
providing
required
knowledge
for
modeling
process.
Hence,
bioenergy
industry
optimal
conditions,
cost
energy,
lessen
negative
CO2
emission.
