Frontiers in Environmental Science,
Journal Year:
2022,
Volume and Issue:
10
Published: March 23, 2022
The
purpose
of
this
paper
is
to
propose
a
new
methodological
approach
complex
assessment
coal-mining
enterprises
basing
on
the
evaluation
technological
schemes
from
viewpoint
their
susceptibility
innovations.
To
solve
specified
problems,
method
has
been
used.
involves
geometrical
interpretation
task
determining
boundary
parameters
schemes,
application
criteria-based
estimations
for
level
production
efficiency,
and
use
index
economic
re
liability.
For
first
time,
optimality
criteria
innovation
management
in
coal
industry
have
proposed;
they
take
into
consideration
organization
innovations,
innovative
system,
process.
A
“internal
potential
networks”
developed,
being
one
essential
evaluating
mine
conditions.
It
identified
that
its
formation
result
influence
certain
factors
underground
mining
efficiency
and,
all,
property—spatial
development.
According
represented
concept,
policy
optimal
control
maintaining
operating
capacities
based
remained
reserves,
substantiated
planning
stoping
line,
correspondence
extraction
equipment
possible
increase
concentration
by
redistributing
reserves
integration
mines
operations;
makes
it
concentrate
resources
within
those
parts
field
where
effect
will
show
maximum.
Modelling
such
problems
system
constraints
without
any
requirements
providing
planned
loading,
obligatory
past.
Analysis
indices
accounting
developed
factual
helped
elaborate
recommendations
concerning
organizational
tasks
scheme
mines.
Further
graphs
network
models
allow
optimizing
parameters.
Consequently,
carried
out
research
resulted
as
complex.
ACS Nano,
Journal Year:
2022,
Volume and Issue:
16(10), P. 16624 - 16635
Published: Oct. 14, 2022
The
rational
utilization
and
circulation
of
multiple
energy
sources
is
an
effective
way
to
address
the
crises
shortages
environmental
pollution.
Herein,
microextrusion
compression
molding,
industrialized
polymer
molding
technology
that
combines
melt
blending
proposed
for
mass
production
a
bioinspired
micro/nanostructured
polyethylene/poly(ethylene
oxide)/graphene
(MN-PPG)
film.
MN-PPG
film
exhibits
robust
shape
stability,
high
storage
density,
excellent
thermal
management
capability
owing
cocontinuous
network
formed
by
poly(ethylene
oxide)
polyethylene
matrix.
has
sufficient
photothermal
property
due
uniformly
dispersed
graphene
nanosheets
surface
micro/nanostructures.
Interestingly,
durable
superhydrophobicity,
acid/alkali
resistance,
active
deicing
performance.
Further,
multifunctional
harvesting
system
was
established
integrating
film,
LED
chip,
thermoelectric
module.
hybrid
produced
open-circuit
voltage
315.4
mV
power
output
2.5
W
m–2
under
3
sun
irradiation.
Furthermore,
afterheat
generated
chips
at
night
can
be
converted
into
electricity
through
conversion.
method
enables
large-scale
fabrication
phase
change
composites
in
harsh
environments.
SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
Renewable
energy
and
non-renewable
markets
have
different
stabilities,
with
renewable
more
volatile
due
to
the
role
of
in
society,
also
interactions
external
markets.
The
transition
towards
is
reshaping
global
markets,
presenting
challenges
opportunities.
This
study
investigates
impact
integration
on
electricity
market
prices
grid
stability,
utilizing
various
analytical
techniques
including
correlation
analysis,
time
series
forecasting
ARIMA
SARIMA
models,
demand-side
analysis.
analysis
reveals
significant
relationships
between
penetration
sources,
particularly
solar
wind,
prices.
further
delves
into
where
models
demonstrate
their
effectiveness
predicting
price
trends,
providing
critical
insights
dynamics
face
increasing
adoption.Additionally,
examines
implications
stability.
It
addresses
concerns
regarding
intermittent
nature
sources
reliability.
highlights
shift
consumption
patterns
response
growth
energy.
findings
this
underscore
transformative
influence
sector.
They
emphasize
need
for
robust
management
strategies
innovative
policy
frameworks
facilitate
a
smooth
sustainable
landscape.
contributes
ongoing
discourse
integration,
offering
valuable
perspectives
policymakers,
industry
stakeholders,
researchers.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(3), P. e25068 - e25068
Published: Jan. 24, 2024
Utilizing
a
quantile
frequency
connectedness
approach,
we
explore
the
between
energy
tokens,
crypto
market,
and
renewable
stock
markets.
The
empirical
results
show
that
measures
of
series
are
characterized
by
asymmetry
heterogeneity
across
quantiles
different
investment
horizons.
Specifically,
characteristic
clustering
has
been
observed
tokens
market
more
interconnected,
while
markets
interconnected
with
each
other
at
median
quantile.
linkages
quite
weak
under
normal
conditions,
suggesting
diversification
opportunities
in
investing
these
financial
assets.
However,
extreme
on
dominating
end
propagation
mechanism
net
receivers
shocks.
Further
decomposition
shows
this
strategy
can
hold
short
term,
long
term
investors
could
benefit
from
both
kinds
Additionally,
dynamic
analysis
affirms
varied
event-dependent
over
time.
Our
may
help
policymakers
have
better
assessment
portfolio
management.
Economic Analysis and Policy,
Journal Year:
2024,
Volume and Issue:
83, P. 80 - 94
Published: June 9, 2024
As
the
world's
biggest
oil
producer
and
second-biggest
polluter,
United
States
has
set
a
strict
target
to
cut
net
CO2
emissions
by
50–52
percent
from
2005
levels
2030
zero
emission
2050
through
various
strategies,
particularly
clean
energy
initiatives.
This
research
attempts
examine
effects
of
five
specific
renewable
conventional
subsectors
with
carbon
across
sectors,
including
power
(POW),
industry
(IND),
ground
transportation
(GT),
domestic
aviation
(DA),
residential
(RE).
The
data
illustrate
decline
subsequent
increase
in
throughout
COVID-19
pandemic,
Russia-Ukrainian
conflict,
USA
recession
periods
January
1
2021
September
30
2022.
Employing
Vector
Autoregressive
(VAR)
model
novel
quantile
connectedness
framework,
it
was
found
that
risk
transmission
between
different
markets
been
exceptionally
high,
exceeding
80%
both
outbreak
aftermath.
finding
suggests
pandemic
shock
Russian-Ukrainian
conflict
have
intensified
connections
non-clean
markets.
Policymakers
should
adjust
targets
align
changing
dynamics,
prioritize
wind
geothermal
energy,
promote
independence
due
rising
prices.
Leverage
lithium
for
electric
vehicles
create
policies
power,
industry,
transportation,
aviation,
sectors
manage
effectively.
Computers,
Journal Year:
2024,
Volume and Issue:
13(4), P. 107 - 107
Published: April 22, 2024
This
paper
investigates
the
evolving
landscape
of
blockchain
technology
in
renewable
energy.
The
study,
based
on
a
Scopus
database
search
21
February
2024,
reveals
growing
trend
scholarly
output,
predominantly
engineering,
energy,
and
computer
science.
diverse
range
source
types
global
contributions,
led
by
China,
reflects
interdisciplinary
nature
this
field.
comprehensive
review
delves
into
33
research
papers,
examining
integration
energy
systems,
encompassing
decentralized
power
dispatching,
certificate
trading,
alternative
selection,
management
applications
like
intelligent
transportation
systems
microgrids.
papers
employ
theoretical
concepts
such
as
dispatching
models
permissioned
blockchains,
utilizing
methodologies
involving
advanced
algorithms,
consensus
mechanisms,
smart
contracts
to
enhance
efficiency,
security,
transparency.
findings
suggest
that
can
reduce
costs,
increase
utilization,
optimize
management.
Despite
these
advantages,
challenges
including
uncertainties,
privacy
concerns,
scalability
issues,
consumption
are
identified,
alongside
legal
regulatory
compliance
market
acceptance
hurdles.
Overcoming
resistance
change
building
trust
blockchain-based
crucial
for
successful
adoption,
emphasizing
need
collaborative
efforts
among
industry
stakeholders,
regulators,
developers
unlock
full
potential
blockchains
integration.
Environmental Chemistry Letters,
Journal Year:
2024,
Volume and Issue:
22(5), P. 2293 - 2318
Published: May 21, 2024
Abstract
The
access
to
clean
and
drinkable
water
is
becoming
one
of
the
major
health
issues
because
most
natural
waters
are
now
polluted
in
context
rapid
industrialization
urbanization.
Moreover,
pollutants
such
as
antibiotics
escape
conventional
wastewater
treatments
thus
discharged
ecosystems,
requiring
advanced
techniques
for
treatment.
Here
we
review
use
artificial
intelligence
machine
learning
optimize
pharmaceutical
treatment
systems,
with
focus
on
quality,
disinfection,
renewable
energy,
biological
treatment,
blockchain
technology,
algorithms,
big
data,
cyber-physical
automated
smart
grid
power
distribution
networks.
Artificial
allows
monitoring
contaminants,
facilitating
data
analysis,
diagnosing
easing
autonomous
decision-making,
predicting
process
parameters.
We
discuss
advances
technical
reliability,
energy
resources
management,
cyber-resilience,
security
functionalities,
robust
multidimensional
performance
platform
distributed
consortium,
stabilization
abnormal
fluctuations
quality
