Applied Sciences,
Год журнала:
2024,
Номер
14(11), С. 4389 - 4389
Опубликована: Май 22, 2024
This
paper
presents
the
initial
steps
taken
in
analysing
benefits
of
connected
autonomous
vehicles
(CAVs),
especially
Modular
Autonomous
Vehicles
(MAVs),
search
sustainable
solutions
for
reducing
energy
consumption
per
passenger
air
transport.
For
this
particular
case,
a
Mobility-as-a-Service
(MaaS)
solution
is
proposed,
correlating
airside
transport
with
landside
transport,
as
an
urban
mobility
alternative.
To
better
understand
proposal,
studies
impact
on
conceptual
differences
between
conventional
public
fleet
using
Battery
Electric
Buses
(BEBs)
and
MAV
fleet.
Simulations
simple
tasks
are
performed
to
highlight
advantages
modular
vehicle
concept,
which
routes
assigned
dynamically
based
requested
carrying
capacity
travel
distance,
aiming
optimize
efficiency
entire
system.
With
proven
reduction
due
use
available
reduced
times
driving
number
passengers
less
than
half
its
capacity,
concept
can
be
addressed
further
developing
predictive
system
that
processes
data
delivers
optimized
schedule
The
main
goal
being
improve
overall
operational
total
cost
ownership,
second
part
weight
distribution
parameters
such
consumption,
range,
performance
electric
bus.
dynamic
elements
acceleration,
braking,
cornering
analyzed,
assess
viability
safety
all
types
bus
operations.
Energy & Fuels,
Год журнала:
2024,
Номер
38(6), С. 4803 - 4835
Опубликована: Март 11, 2024
As
fuel
cell
vehicles
(FCVs)
are
increasingly
put
on
the
market
and
hydrogen
refueling
stations
(HRSs)
built
accordingly,
fatal
accidents
caused
by
explosion
due
to
leakage
reported
have
become
a
critical
issue.
The
results
from
complicated
processes
associated
with
so-called
jet
diffusion
when
leaks
FCVs
or
HRSs,
demonstrating
its
sophisticated
characteristics
presenting
significant
technical
challenges.
Recently,
particularly
in
past
few
years,
researchers
established
variety
of
theoretical
models
reveal
relevant
mechanisms
introduced
series
monitoring/diagnostic
approaches
detect
control
hazards.
This
comprehensive
review
summarizes
major
research
outcomes
state-of-the-art
progresses
relation
including
(1)
subsonic
jets,
(2)
underexpanded
(3)
behavior,
(4)
hazard
reduction
methods
for
confined
free
spaces,
(5)
four
types
widely
used
detection
technologies,
(6)
application
diagnostic
different
systems.
An
insight
is
that
related
HRSs
should
be
combined
realistic
characteristics.
jets
generated
real
gaps
discussed,
proposed
based
spaces.
It
suggested
that,
order
integrate
evaluate
multiple
sensor
data
points
more
accurately
determine
location
level,
artificial
intelligence
technologies
could
resolve
issues
encountered
currently.
Applied Sciences,
Год журнала:
2024,
Номер
14(23), С. 11112 - 11112
Опубликована: Ноя. 28, 2024
Artificial
intelligence
(AI)
and
machine
learning
(ML)
can
assist
in
the
effective
development
of
power
system
by
improving
reliability
resilience.
The
rapid
advancement
AI
ML
is
fundamentally
transforming
energy
management
systems
(EMSs)
across
diverse
industries,
including
areas
such
as
prediction,
fault
detection,
electricity
markets,
buildings,
electric
vehicles
(EVs).
Consequently,
to
form
a
complete
resource
for
cognitive
techniques,
this
review
paper
integrates
findings
from
more
than
200
scientific
papers
(45
reviews
155
research
studies)
addressing
utilization
EMSs
its
influence
on
sector.
additionally
investigates
essential
features
smart
grids,
big
data,
their
integration
with
EMS,
emphasizing
capacity
improve
efficiency
reliability.
Despite
these
advances,
there
are
still
additional
challenges
that
remain,
concerns
regarding
privacy
integrating
different
systems,
issues
related
scalability.
finishes
analyzing
problems
providing
future
perspectives
ongoing
use
EMS.
