Sustainable Energy & Fuels,
Journal Year:
2024,
Volume and Issue:
8(15), P. 3247 - 3265
Published: Jan. 1, 2024
Commercialization
has
been
primarily
responsible
for
the
recent
sharp
rise
seen
in
energy
consumption,
which
coincided
with
an
increasing
global
population.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(16), P. 7036 - 7036
Published: Aug. 16, 2024
Circular
economy
and
sustainability
are
pivotal
concepts
in
the
discourse
on
synergies
between
economic
growth
environmental
impact.
As
resource
scarcity
degradation
intensify,
advancements
energy
conversion
technologies
become
crucial
for
a
sustainable
model.
Currently
dependent
fossil
fuels,
global
must
shift
to
framework
focused
bioenergy.
Biomass,
renewable
source,
offers
promising
solution
by
converting
waste
into
valuable
resources,
reducing
impact,
creating
opportunities.
Biofuels
bioproducts
can
meet
needs
while
greenhouse
gas
emissions
addressing
warming.
Recent
advances
biofuels,
supported
initiatives
policies,
promote
more
production.
This
paper
aims
highlight
potential
of
biomass
meeting
contemporary
demand
provides
an
overview
biofuels
their
production
as
alternative
fuels.
It
also
explores
future
agriculture
sectors,
emphasizing
challenges
competition
food
fuel
feedstocks.
Frontiers in Fuels,
Journal Year:
2024,
Volume and Issue:
2
Published: March 8, 2024
In
the
face
of
environmental
challenges
(e.g.,
dramatically
increasing
greenhouse
gas
emissions
and
climate
change),
it
is
utmost
importance
to
sustainable
energy
systems.
Biomass
consisting
agricultural
forest
waste,
municipal
solid
aquatics,
has
been
identified
as
alternative
promising
fuel
sources.
Thermochemical
conversion
approaches
like
pyrolysis
can
turn
various
types
biomass
into
three
valuable
product
streams,
namely,
bio-oil,
biochar,
syngas.
To
date,
past
review
articles
have
considered
major
operating
parameters
kinetics,
chemistry,
application
products.
However,
ash
content
one
key
components
that
lacks
investigation
on
its
influence
during
with
respect
products
yield
properties.
This
article
examines:
i)
composition
in
different
biomass;
ii)
effects
catalytic
pathway
thermal
degradation;
iii)
related
problems
degradation
iv)
available
deashing
techniques
for
biomass.
The
aims
provide
new
understandings
insights
regarding
pyrolysis.
Cleaner Waste Systems,
Journal Year:
2024,
Volume and Issue:
7, P. 100130 - 100130
Published: Jan. 21, 2024
In
response
to
increasing
global
waste
generation
due
population
growth,
urbanization,
and
industrialization,
wastewater
treatment
operations
should
shift
from
being
solely
energy
consumers
becoming
producers
by
harnessing
sludge
(WWS).
This
approach
holds
great
potential
for
meeting
demands
addressing
the
challenges
of
treatment.
The
recovery
heat
electrical
WWS
offers
a
viable
solution
reduce
costs
within
WWTPs.
Thermochemical
technologies
such
as
pyrolysis,
gasification,
combustion
hold
their
efficiency,
reaction
times,
retrieval
capabilities.
These
demonstrate
feasibility
in
terms
operational
costs,
circular
economy
principles,
socio-environmental
impact,
thanks
ongoing
advancements
waste-to-energy
research.
review
aims
explore
recovering
bioenergy
(biogas
or
syngas)
generate
energy,
including
heat,
electricity,
other
innovative
products.
article
provides
critical
comprehensive
examination
thermochemical
technologies,
taking
into
account
technological,
economic,
factors.
It
then
presents
integration
techniques
that
effectively
combine
anaerobic
digestion
with
conversion
enhance
syngas,
biogas,
flue-gas
energy.
results
this
study
underscore
significant
sludge-to-energy
schemes.
Environmental Science Advances,
Journal Year:
2024,
Volume and Issue:
3(9), P. 1197 - 1216
Published: Jan. 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.
npj Materials Sustainability,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: April 8, 2024
Abstract
Data-driven
modeling
is
being
increasingly
applied
in
designing
and
optimizing
organic
waste
management
toward
greater
resource
circularity.
This
study
investigates
a
spectrum
of
data-driven
techniques
for
treatment,
encompassing
neural
networks,
support
vector
machines,
decision
trees,
random
forests,
Gaussian
process
regression,
k
-nearest
neighbors.
The
application
these
explored
terms
their
capacity
complex
processes.
Additionally,
the
delves
into
physics-informed
highlighting
significance
integrating
domain
knowledge
improved
model
consistency.
Comparative
analyses
are
carried
out
to
provide
insights
strengths
weaknesses
each
technique,
aiding
practitioners
selecting
appropriate
models
diverse
applications.
Transfer
learning
specialized
network
variants
also
discussed,
offering
avenues
enhancing
predictive
capabilities.
work
contributes
valuable
field
modeling,
emphasizing
importance
understanding
nuances
technique
informed
decision-making
various
treatment
scenarios.