Production of hydrogen energy from biomass: Prospects and challenges
Green Technologies and Sustainability,
Journal Year:
2024,
Volume and Issue:
2(3), P. 100100 - 100100
Published: April 18, 2024
The
acceleration
of
the
energy
transition
away
from
traditional
systems
depends
on
inclusion
H2
in
plans.
Using
biomass
to
produce
hydrogen
holds
significant
promise
field
renewable
energy.
This
article
explores
history
as
a
sustainable
source
and
highlights
important
role
Various
conversion
technologies,
including
thermochemical,
biological,
electrochemical,
hybrid
processes,
are
discussed
compared
other
sources.
Given
into
mix,
comparisons
made
between
methods
biomass-to-hydrogen
terms
cost
per
kg
H2,
power
consumption
kWh
well
feedstocks
utilized
for
production,
their
strengths
weaknesses.
Case
study
applications
these
methodologies
highlighted
limitations
addressed
course
discussion.
provides
an
in-depth
look
at
prospects
challenges
providing
review
research
literature,
insights
efficiency
improvements,
level
advancement
technology,
catalyst
development.
catalysts,
machine
learning,
artificial
intelligence
along
with
factors
improving
production
were
discussed.
Challenges
such
food
supply,
techno-economic
constraints,
environmental
impact,
have
all
been
examined.
concludes
by
highlighting
current
applications,
prospects,
overall
importance
transportation,
business
policy
changes.
Language: Английский
Forest 4.0: Technologies and digitalization to create the residual biomass supply chain of the future
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
467, P. 143041 - 143041
Published: June 28, 2024
Currently,
there
is
an
increasing
pressure
to
decarbonize
and
meet
energy
demands.
In
this
regard,
the
usage
of
renewable
sources
becoming
more
prominent.
Biomass
can
significantly
contribute
effort.
However,
due
logistical
costs,
its
exploitation
often
considered
less
'desirable.'
Sometimes,
particularly
in
context
residual
biomass,
open
burning
on
site
desirable.
This
study
aims
optimize
biomass
supply
chain
by
leveraging
digitalization's
advantages,
thereby
creating
a
new
model
for
purpose.
Methodologically,
research
initially
adopted
empirical
approach,
analyzing
documents
from
project
that
recreated
current
scenario.
second
phase,
involved
literature
review
gather
insights
needed
developing
final
model.
Consequently,
offers
three
major
contributions:
detailed
mapping
scenario,
comprehensive
synthesis
potentials
emerging
technologies
chain,
illustrating
integration
these
biomass.
Thus,
presents
opportunity
transform
common
'leftover'
into
value-added
material.
To
better
assess
model's
value,
two
analyses,
PEST
SWOT,
were
conducted
align
conceptual
proposal
with
real-world
contexts.
Language: Английский
Achieving ultra-low latent heat of water evaporation in capillary water by regulating hydrophilic groups and pore structure of cellulose/chitosan gel
Dawei Liang,
No information about this author
Jiebin Tang,
No information about this author
Qi Sun
No information about this author
et al.
Carbohydrate Polymers,
Journal Year:
2025,
Volume and Issue:
353, P. 123302 - 123302
Published: Jan. 20, 2025
Language: Английский
Preparation, modification and applications of sepiolite nanofibers: A review
Kaihong Zhou,
No information about this author
Qin Qin,
No information about this author
Gaigai Duan
No information about this author
et al.
Inorganica Chimica Acta,
Journal Year:
2025,
Volume and Issue:
579, P. 122567 - 122567
Published: Feb. 3, 2025
Language: Английский
A review on sustainable management of biomass: physicochemical modification and its application for the removal of recalcitrant pollutants—challenges, opportunities, and future directions
Environmental Science and Pollution Research,
Journal Year:
2024,
Volume and Issue:
31(25), P. 36492 - 36531
Published: May 15, 2024
Language: Английский
Digitalisation in Bioeconomy in the Baltic States and Poland
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(17), P. 13237 - 13237
Published: Sept. 4, 2023
The
agricultural
and
food
production
sectors
have
a
predominant
role
in
the
bioeconomy
of
European
Union
(EU),
followed
by
wood
production.
These
make
significant
contributions
not
only
to
national
economies
but
also
local
areas,
particular
rural
ones.
Although
digitalisation
businesses
within
sector
transforms
enterprises,
improving
value
chains
creating
benefits
for
communities
where
these
enterprises
are
situated,
there
still
many
barriers
digitalisation.
This
study
has
dual
aim:
first,
analyse
EU
state
EU,
second,
assess
ways
support
digital
transformation
this
sector,
focusing
on
agriculture
as
main
contributor
taking
Lithuania,
Latvia,
Poland
case
studies.
cluster
analysis
was
explored
R&D
indicators
EU.
Analytic
Hierarchy
Process
(AHP)
used
determine
scenarios
Poland.
Four
stakeholder
groups
were
selected
experts
study:
(i)
government,
(ii)
advisory
extension,
(iii)
research,
(iv)
entrepreneurship.
findings
identified
4
clusters
showing
different
levels
Strong
links
between
found.
In
context,
assigned
low-performing
cluster.
results
AHP
studies
indicate
overall
need
prioritization
using
funding
achieve
better
results.
Nonetheless,
suggested
that
opinions
consulting,
research
more
aligned
throughout
all
three
countries,
entrepreneurs’
differed
from
groups.
provide
quantitative
information
regarding
They
offer
additional
qualitative
about
criteria
increasing
level
Poland,
which
could
be
useful
policy-makers.
practical
implications
shaping
future
trajectory
policy.
Language: Английский
Decision Support System for Bioenergy Supply Chain Optimization: A Case Study at Lebak District, Banten Indonesia
International Journal of Sustainable Development and Planning,
Journal Year:
2024,
Volume and Issue:
19(1), P. 69 - 82
Published: Jan. 31, 2024
This
study
aims
to
design
a
decision
support
system
(DSS)
development
model
in
sustainable
bioenergy
supply
chains.Our
approach
involves
1)
identifying
the
chain
through
determining
spatial
potential
of
agroindustry
area
using
geographic
information
(GIS)
and
analytical
hierarchy
process
(AHP);
2)
optimization
for
aggregate
production
planning
fuzzy
goal
programming
biomass
inventory
level
determination
adaptive
neuro-fuzzy
inference
(ANFIS)
approach;
3)
designing
concept
DSS
chain.The
results
showed
identification
from
locations
with
three
regional
categories:
19.34%
potential,
16.93%
not
63.70%
developing.Aggregate
is
appropriate
based
on
objective
functions
be
achieved
levels
ANFIS
input
variables
comparing
performance
RMSE,
MAPE,
R2
so
that
can
predict
adaptively.The
Model
agricultural
centers
users
by
adding
Internet
Things
(IoT)
technology
increase
effectiveness
efficiency
managerial
implications
this
research
provide
relevant
insights
improvement
renewable
energy
management
programs.Utilization
local
resources
becomes
more
optimal.
Language: Английский
AI-IoT-Enabled Biomass-to-Biofuel Conversion
Advances in computer and electrical engineering book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 195 - 219
Published: March 15, 2024
The
integration
of
AI
and
IoT
is
revolutionizing
the
energy
sector
by
improving
efficiency
minimizing
downtime
in
power
plants.
sensors
smart
grid
technologies
enhance
transmission
real-time
monitoring
flow
optimization.
However,
challenges
like
initial
investment
costs
skill
requirements
persist.
Ethical
considerations,
data
privacy,
equitable
access
are
crucial
for
fully
harnessing
potential
sector.
This
chapter
synthesizes
successful
case
studies,
lessons
learned,
future
trends,
emphasizing
pivotal
role
fostering
innovation,
optimizing
systems,
driving
industry
towards
a
cleaner,
more
sustainable
landscape.
Language: Английский