Municipal solid waste valorization to biofuel production: Comparative evaluation, policies, challenges, and practices
Journal of the Taiwan Institute of Chemical Engineers,
Год журнала:
2025,
Номер
unknown, С. 106099 - 106099
Опубликована: Март 1, 2025
Язык: Английский
Microwave-Assisted Preparation of Solid Recovered Fuel from Food Waste and its Quality Prediction Using Linear Programming
BioEnergy Research,
Год журнала:
2025,
Номер
18(1)
Опубликована: Янв. 25, 2025
Язык: Английский
Syngas Production From Refuse-Derived Fuel Through Gasification Simulation for a Fuel Cell System
Cureus Journal of Engineering.,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 2, 2025
Язык: Английский
Preparation of sintered ceramsite by synergising different types of expansion agents with multiple bulk solid wastes
Construction and Building Materials,
Год журнала:
2025,
Номер
484, С. 141873 - 141873
Опубликована: Май 21, 2025
Язык: Английский
Ni-Mo2C/γ-Al2O3 catalysts for syngas production in pyrolysis-dry reforming of plastics - the effect of amine nature on catalyst performance
Chemical Engineering Journal,
Год журнала:
2025,
Номер
516, С. 164181 - 164181
Опубликована: Май 29, 2025
Язык: Английский
Forecasting of municipal solid waste generation in Türkiye and techno-economic-environmental assessment of electricity generation via incineration till 2032
Next Sustainability,
Год журнала:
2024,
Номер
5, С. 100092 - 100092
Опубликована: Дек. 5, 2024
Язык: Английский
Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review
Energies,
Год журнала:
2024,
Номер
18(1), С. 16 - 16
Опубликована: Дек. 24, 2024
The
increasing
demand
for
sustainable
energy
has
spurred
interest
in
biofuels
as
a
renewable
alternative
to
fossil
fuels.
Biomass
gasification
and
pyrolysis
are
two
prominent
thermochemical
conversion
processes
biofuel
production.
While
these
effective,
they
often
influenced
by
complex,
nonlinear,
uncertain
factors,
making
optimization
prediction
challenging.
This
study
highlights
the
application
of
fuzzy
neural
networks
(FNNs)—a
hybrid
approach
that
integrates
strengths
logic
networks—as
novel
tool
address
challenges.
Unlike
traditional
methods,
FNNs
offer
enhanced
adaptability
accuracy
modeling
nonlinear
systems,
them
uniquely
suited
biomass
processes.
review
not
only
ability
optimize
predict
performance
but
also
identifies
their
role
advancing
decision-making
frameworks.
Key
challenges,
benefits,
future
research
opportunities
explored,
showcasing
transformative
potential
Язык: Английский
Nano-Silver-Loaded Activated Carbon Material Derived from Waste Rice Noodles: Adsorption and Antibacterial Performance
Guanzhi Ding,
Guangzhi Qin,
Wan-Ying Ying
и другие.
Nanomaterials,
Год журнала:
2024,
Номер
14(22), С. 1857 - 1857
Опубликована: Ноя. 20, 2024
This
study
demonstrates,
for
the
first
time,
conversion
of
waste
rice
noodles
(WRN)
into
a
cost-effective,
nano-silver-loaded
activated
carbon
(Ag/AC)
material
capable
efficient
adsorption
and
antibacterial
activity.
The
fabrication
process
began
with
WRN
hydrothermal
(HTC)
via
method.
Subsequently,
HTC
was
combined
silver
nitrate
(AgNO
Язык: Английский