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.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 16, 2024
The
current
study
concentrates
on
the
planning
(sitting
and
sizing)
of
a
renewable
integrated
energy
system
that
incorporates
power-to-hydrogen
(P2H)
hydrogen-to-power
(H2P)
technologies
within
an
active
distribution
network.
This
is
expressed
in
form
optimization
model,
which
objective
function
to
reduce
annual
costs
construction
maintenance
systems.
model
takes
into
account
operation
wind,
solar,
bio-waste
resources,
as
well
hydrogen
storage
(a
combination
P2H,
H2P,
tank),
optimal
power
flow
constraints
Electrical
are
administered
system.
modeling
uncertainties
regarding
quantity
load
resources
achieved
through
stochastic
using
Unscented
Transformation
method.
novelties
scheme
include
sizing
placement
combined
power-based
system,
consideration
impacts
units,
H2P
systems
network,
method
calculation
time.
study's
results
demonstrate
scheme's
ability
improve
technical
conditions
network
by
considering
In
comparison
flow,
status
has
been
improved
approximately
23-45%
siting,
sizing,
management
equipment,
other
words,
able
losses
voltage
drop
44.5%
42.4%
compared
studies.
this
situation,
peak
carrying
capability
increased
about
23.7%.
addition,
case
with
overvoltage
decreased
43.5%.
Also,
lower
time
than
scenario-based
optimization.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(13), P. 5722 - 5722
Published: July 4, 2024
Integrating
carbon
capture
and
storage
(CCS)
technology
into
an
integrated
energy
system
(IES)
can
reduce
its
emissions
enhance
low-carbon
performance.
However,
the
full
CCS
of
flue
gas
displays
a
strong
coupling
between
lean
rich
liquor
as
dioxide
liquid
absorbents.
Its
integration
IESs
with
high
penetration
level
renewables
results
in
insufficient
flexibility
renewable
curtailment.
In
addition,
integrating
split-flow
facilitates
short
time,
giving
priority
to
energy.
To
address
these
limitations,
this
paper
develops
capture,
utilization,
(CCUS)
method,
which
tanks
for
two-stage
power-to-gas
(P2G)
multiple
utilizations
hydrogen
including
fuel
cell
hydrogen-blended
CHP
unit
are
introduced.
The
CCUS
is
IES
build
electricity–heat–hydrogen–gas
IES.
Accordingly,
deep
economic
optimization
strategy
IES,
considers
stepwise
trading,
coal
consumption,
curtailment
penalties,
purchasing
costs,
proposed.
effects
CCUS,
P2G
system,
trading
on
performance
analyzed
through
case-comparative
analysis.
show
that
proposed
method
allows
significant
reduction
both
total
operational
costs.
It
outperforms
without
8.8%
cost
70.11%
emissions.
Compared
CCS,
yields
reductions
6.5%
costs
24.7%
Furthermore,
addition
further
amplifies
benefits,
cutting
by
13.97%
12.32%.
enables
consumption
expands
proportion
reach
69.23%.
Processes,
Journal Year:
2024,
Volume and Issue:
12(9), P. 1921 - 1921
Published: Sept. 6, 2024
Integrated
Energy
Systems
(IESs)
interconnect
various
energy
networks
to
achieve
coordinated
planning
and
optimized
operation
among
heterogeneous
subsystems,
making
them
a
hot
topic
in
current
research.
However,
with
the
high
integration
of
renewable
sources,
their
fluctuation
characteristics
introduce
uncertainties
entire
system,
including
corresponding
indirect
carbon
emissions
from
electricity.
To
address
these
issues,
this
paper
constructs
two-stage,
three-layer
robust
optimization
model
for
IESs
day-ahead
intra-day.
The
analyzes
emission
intensity
at
grid-connected
nodes,
as
well
uncertainty
photovoltaic,
wind
turbine,
cooling,
heating,
electricity
loads,
expressed
using
polyhedral
sets.
It
standardizes
modeling
internal
equipment
IES,
introduces
trading
mechanisms,
low-carbon
economic
model,
transforming
objective
function
constraints
into
compact
form.
column-and-constraint
generation
algorithm
is
applied
transform
single-layer
main
problem
two-layer
subproblem
iterative
solution.
Karush–Kuhn–Tucker
(KKT)
condition
used
convert
linear
programming
model.
A
case
study
conducted
on
park
shows
that
while
introduction
increases
system
costs
compared
deterministic
optimization,
scheduling
strategy
more
stable,
significantly
reducing
impact
system.
Moreover,
proposed
reduces
total
by
5.03%
1.25%
scenarios
considering
only
source
load
uncertainty,
fully
verifying
method
improves
performance
