Time-dependent energy, economic, and environmental assessment of a PV-hydrogen integrated power system
International Journal of Hydrogen Energy,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 1, 2025
Language: Английский
Optimal Configuration Framework of Hybrid Renewable Energy Technologies-Based Hydrogen Energy Storage System Assessment using Enhanced Artificial Rabbit Algorithm
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135408 - 135408
Published: March 1, 2025
Language: Английский
Towards Sustainable Energy Independence: A Case Study of Green Hydrogen as Seasonal Storage Integration in a Small Island
Renewable Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 122813 - 122813
Published: March 1, 2025
Language: Английский
Excess energy management and techno-economic analysis of optimal designed isolated microgrid with reliability and environmental aspects
Subhash Yadav,
No information about this author
Pradeep Kumar,
No information about this author
Ashwani Kumar
No information about this author
et al.
Energy Conversion and Management,
Journal Year:
2025,
Volume and Issue:
333, P. 119772 - 119772
Published: April 18, 2025
Language: Английский
Sustainable green hydrogen production: Trading off costs and environmental impacts
International Journal of Hydrogen Energy,
Journal Year:
2024,
Volume and Issue:
100, P. 994 - 1009
Published: Dec. 28, 2024
Language: Английский
Sustainable and reliability based coalition forming model for smart multi-microgrid systems considering battery and water storage systems
Journal of Energy Storage,
Journal Year:
2024,
Volume and Issue:
102, P. 114050 - 114050
Published: Oct. 12, 2024
Language: Английский
Multi-criteria design of multi-energy system for remote area using NSGA-III and fuzzy TOPSIS
Journal of Renewable and Sustainable Energy,
Journal Year:
2024,
Volume and Issue:
16(6)
Published: Nov. 1, 2024
Multi-energy
systems
(MES)
play
a
key
role
in
solving
many
significant
problems
related
to
economic
efficiency,
reliability,
and
impacts
on
the
environment.
The
multiplicity
of
goals
pursued
creation
MES
gives
rise
problem
multi-criteria
choice.
long-life
cycle
different
development
scenarios
cause
uncertainty
preferences
decision
makers.
Focusing
these
problems,
article
proposes
framework
for
sizing
based
optimization
decision-making
techniques.
Multi-criteria
is
carried
out
find
Pareto-optimal
configurations
using
metaheuristic
non-dominated
sorting
genetic
algorithm
III
(NSGA-III).
evaluation
Pareto
front
alternatives
under
performed
with
fuzzy
technique
order
by
similarity
ideal
solution
(TOPSIS).
To
develop
that
most
suitable
various
scenarios,
new
indicator
proposed
within
multi-scenario
approach,
calculated
as
geometric
mean
TOPSIS
assessments.
effectiveness
demonstrated
remote
settlement
located
coast
Sea
Japan
three
scenarios.
through
approach
identified
configuration
all
considered
(levelized
cost
energy
0.21
$/kW
h
(within
interval
0.178–0.275),
investment
costs
294
289
$(43
573–535
439),
CO2
emission
43
008
kg/year
(3069–118
542),
unmet
load
3262
kW
h/year
(0–24
044).
Furthermore,
being
solved,
modified
Inverted
Generational
Distance
was
used
compare
NSGA-III
NSGA-II
algorithms.
superiority
over
confirmed
(intervals
estimates
are
1874–4040
3445–21
521,
respectively).
Language: Английский
Optimal sizing of hybrid energy storage system under multiple typical conditions of sources and loads
Changling Li,
No information about this author
Xinyan Zhang
No information about this author
International Journal of Sustainable Energy,
Journal Year:
2024,
Volume and Issue:
44(1)
Published: Dec. 19, 2024
Hybrid
energy
storage
system
(HESS)
can
support
integrated
(IES)
under
multiple
time
scales.
To
address
the
diversity
of
new
sources
and
loads,
a
multi-objective
configuration
frame
for
HESS
is
proposed
comprehensive
source-load
conditions.
First,
IES
operation
model
minimizing
electricity
purchase
rate
planning
levelised
cost
average
reserve
idle
are
established.
Then,
full
condition
scenarios
based
on
APC,
scheme
optimised
by
NSGA-III
TOPSIS
method.
Finally,
compared
with
single
scene,
rated
power
capacity
BESS
differ
5.46
times
6.1
times,
respectively.
Based
full-condition
scenarios,
integrate
various
operating
conditions
effectively
avoid
limitations
The
accounts
9.06%
plays
dominant
role
at
74.82%.
Language: Английский