Journal of Technology Innovations and Energy,
Год журнала:
2023,
Номер
2(3), С. 10 - 36
Опубликована: Авг. 18, 2023
The
use
of
biomass
is
vital
in
reducing
the
negative
effects
rising
fossil
fuel
consumption.
Given
its
quantity
and
diversity,
forest
has
garnered
a
lot
interest
among
many
kinds
biomass.
This
study
evaluates
various
strategies
for
transforming
woody
waste
into
usable
biofuels.
Carbon
dioxide
emissions
from
traditional
energy
generation
systems
could
be
mitigated
through
direct
utilization
Low
conversion
rates,
as
well
soot
residues,
are
some
problems
that
come
up
when
directly
using
sustainability
also
seriously
threatened
by
lack
constant
access
to
Co-combustion
with
coal
pelletizing
two
solutions
proposed
this
issue.
potential
lower
process's
carbon
monoxide,
nitrogen
oxides,
sulfides.
article
reviews
discusses
biochemical
thermochemical
mechanisms
can
transform
variety
liquid
gaseous
Future
research
cutting-edge
assessment
tools
like
life
cycle
assessment,
exergy,
etc.
should
investigate
processes
bioenergy
further.
Biofuels Bioproducts and Biorefining,
Год журнала:
2024,
Номер
18(2), С. 594 - 616
Опубликована: Фев. 1, 2024
Abstract
Among
the
feasible
options
for
valorizing
lignocellulosic
biomass
into
value‐added
products,
biochar
is
considered
to
be
extremely
appealing
and
it
could
applied
easily
in
several
established
thermochemical
processes.
Biochar
possesses
a
large
surface
area
due
its
porous
nature,
which
permits
easy
use
various
applications,
including
catalytic
biofuel
production.
This
work
summarizes
research
on
generation
processes,
critical
physicochemical
properties,
factors
that
influence
them.
Important
studies
adopting
catalysts
liquid
production
are
critically
reviewed,
reaction
mechanisms
yield
analyzed.
Finally,
challenges
of
biochar‐based
presented,
together
with
possible
solutions.
In
general,
this
current
aims
provide
characteristics
as
potential
catalyst
synthesis
toward
sustainable
bioenergy
Environmental Science Advances,
Год журнала:
2024,
Номер
3(9), С. 1197 - 1216
Опубликована: Янв. 1, 2024
Integrating
thermochemical–biochemical
methods
overcomes
the
single-path
limits
for
bioenergy
production.
This
synergy
lowers
costs
and
enhances
energy
sustainability,
highlighting
waste-to-energy's
vital
role
in
circular
economy
transition.
Energies,
Год журнала:
2024,
Номер
17(2), С. 396 - 396
Опубликована: Янв. 12, 2024
Thermogravimetric
analysis
(TGA)
is
a
powerful
technique
and
useful
method
for
characterizing
biomass
as
non-conventional
fuel.
A
TGA
apparatus
has
been
utilized
to
experimentally
investigate
the
impact
of
feedstock
diversity
on
performance
gasification
hardwood
(HW),
softwood
(SW)
pellets,
refuse-derived
fuel
(RDF)
materials.
The
solid
conversion
rate
volatile
species
formation
have
estimated
quantify
rates
devolatilization
each
material.
In
addition,
combustion
kinetic
characteristics
three
feedstocks
were
investigated
using
at
different
heating
rates,
thermal
was
conducted
describe
process.
Therefore,
parameters
evaluated
reactions
non-isothermal
models
that
depend
relationships
between
temperature
profiles.
results
show
amount
tar
content
from
RDF
higher
than
pure
feedstocks.
Hence,
removal
must
be
part
any
process
syngas
produced
in
gas
engine
produce
electricity.
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.
Bioresource Technology,
Год журнала:
2023,
Номер
386, С. 129490 - 129490
Опубликована: Июль 17, 2023
Biofuels
from
lignocellulosic
biomass
converted
via
thermochemical
technologies
can
be
renewable
and
sustainable,
which
makes
them
promising
as
alternatives
to
conventional
fossil
fuels.
Prior
building
industrial-scale
conversion
plants,
computational
models
are
used
simulate
process
flows
conditions,
conduct
feasibility
studies,
analyse
business
risk.
This
paper
aims
provide
an
overview
of
the
current
state
art
in
modelling
biomass.
Emphasis
is
given
recent
advances
artificial
intelligence
(AI)-based
that
plays
increasingly
important
role
enhancing
performance
models.
review
shows
AI-based
offer
prominent
accuracy
compared
thermodynamic
equilibrium
implemented
some
It
also
evident
gasification
pyrolysis
more
matured
than
thermal
liquefaction
for
lignocelluloses.
Additionally,
knowledge
gained
future
directions
applications
simulation
AI
explored.
