Temperature-dependent performance prediction for cerium oxynitride solid-state symmetric supercapacitor using machine learning
Sourav Ghosh,
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Ashwath Sibi,
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G. Sudha Priyanga
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et al.
Journal of Energy Storage,
Journal Year:
2025,
Volume and Issue:
113, P. 115562 - 115562
Published: Jan. 29, 2025
Language: Английский
Dual-layer configuration optimization model of bypass branches for heat storage in district heating network
Journal of Energy Storage,
Journal Year:
2025,
Volume and Issue:
118, P. 116197 - 116197
Published: March 22, 2025
Language: Английский
Cooperative control of virtual energy storage devices for energy regulation and rapid frequency support
Frontiers in Energy Research,
Journal Year:
2025,
Volume and Issue:
13
Published: April 22, 2025
Various
controllable
resources
contribute
to
energy
regulation
and
rapid
support
in
the
form
of
virtual
storage
(VES),
which
can
significantly
simplify
control
parameters
facilitate
evaluation
a
microgrid’s
economic
secure
operational
reserves.
This
paper
establishes
power
density
(PDVES)
model
an
(EDVES)
model.
Wind
turbines,
photovoltaics
(PVs),
loads,
electric
vehicles
(EVs)
are
equated
EDVES
PDVES,
respectively.
Furthermore,
calculation
for
microgrids
that
incorporates
VES
is
developed,
framework
constructed
with
current
(VCU)
capacitor
(VCA)
as
scheduling
parameters.
With
frequency
security
island
constraint,
coordinated
strategy
PDVES
proposed
ensure
operation
across
multiple
time
scales.
Finally,
high-proportion
renewable
test
system
established.
The
results
demonstrate
under
control,
dynamic
stability
performance
be
improved.
Language: Английский
Optimization Research on a Novel Community Integrated Energy System Based on Solar Energy Utilization and Energy Storage
Energies,
Journal Year:
2025,
Volume and Issue:
18(5), P. 1151 - 1151
Published: Feb. 26, 2025
Integrated
energy
systems
(IESs)
are
essential
for
enabling
the
transition
in
communities
and
reducing
CO2
emissions.
This
paper
proposes
a
novel
IES
that
combines
photovoltaic
(PV)
solar
thermal
with
coordinated
electrical
storage
to
meet
demands
of
residential
communities.
The
system
also
incorporates
hydrogen
production
fuel
cell
vehicles.
A
dual-objective
optimization
model
was
developed,
minimizing
both
economic
costs
system’s
performance
evaluated
using
data
from
case
study
Dalian,
which
showed
successfully
reduced
annual
total
cost
emissions
compared
conventional
systems.
key
findings
PV
electrolysis
provides
environmental
advantages.
integration
offers
higher
efficiency,
while
supplies
enhance
coordination.
Additionally,
carbon
trading
prices
effectively
reduce
emissions,
but
excessively
high
do
not
always
lead
better
emission
outcomes.
introduces
comprehensive,
multi-energy
approach
optimizing
supply,
contributing
insights
field
sustainable
Language: Английский
Energy Storage Optimization in Renewable Energy Systems using Particle Swarm Optimization
E3S Web of Conferences,
Journal Year:
2024,
Volume and Issue:
581, P. 01021 - 01021
Published: Jan. 1, 2024
This
research
examines
the
application
of
Particle
Swarm
Optimization
(PSO)
to
optimize
energy
storage
optimizations
with
objectives
improving
generation,
cost-efficiency,
system
dependability,
and
environmental
sustainability.
The
optimisation
solar
panel
capacities
was
conducted
using
empirical
data
from
various
microgrid
locations:
Site
1,
which
had
a
capacity
90
kW
40
wind,
2,
50
wind
80
solar,
3,
60
110
4,
45
85
solar.
findings
suggest
that
generation
increased
significantly
by
15%
25%
across
all
sites
following
optimization.
Furthermore,
significant
decreases
in
levelized
cost
(LCOE)
between
10%
14%
were
noted,
providing
confirmation
economic
feasibility.
Increased
grid
stability
17%
24%
during
periods
when
microgrids
operating
under
stable
conditions
demonstrates
PSO-optimized
configurations
are
dependable.
positive
effects
solutions
derived
PSO
apparent,
as
evidenced
conservation
carbon
emissions
ecological
footprints,
decreased
7%
15%.
sensitivity
analysis
validated
optimized
configurations'
robustness,
establishing
their
ability
withstand
changes
parameters.
In
summary,
utilization
showcases
its
enhance
efficiency,
cost-effectiveness,
impact
these
systems.
advances
possibility
constructing
exclusively
utilize
sustainable
renewable
sources.
Language: Английский
Optimizing Energy Distribution and Utilization in Multi-Building Complexes Using Effective Thermal Storage Systems and Renewable Energy Sharing
E3S Web of Conferences,
Journal Year:
2024,
Volume and Issue:
588, P. 03009 - 03009
Published: Jan. 1, 2024
An
increase
in
renewable
energy
sources
and
a
subsequent
need
for
more
energy-efficient
construction
practices
have
prompted
efforts
to
optimize
distribution
networks.
Various
building
types,
including
residential,
hotel,
hospital
structures,
may
benefit
from
solar-based
integrated
systems
(SIES)
that
include
energy-sharing
mechanisms
Effective
Thermal
Storage
Systems
(ETSS).
This
new
approach
is
presented
the
present
research.
In
this
paper
optimization
model
proposed
consider
correlation
of
storage
system
with
fluctuating
load
demands
(BL).
theology
makes
it
possible
any
high
demand
day
trade
excess
power
another
which
has
low
during
same
time.
From
simulation
we
get
grid
consumption
reduced
homes
by
15%,
hotels
12%
hospitals
18%
through
use
Energy
Transfer
System
Efficient
redistribution
management
also
helps
resources
20%.
The
method
led
cumulative
overall
efficiency
compared
control
strategy
optimizing
supply
various
sorts
buildings.
Comparing
our
previous
work
clearly
shows
using
yields
better
saving
higher
usage
because
takes
into
consideration
plan
profile.
These
results
serve
as
foundation
smart
city
solution
incorporates
ETSS
sharing.
Language: Английский