A hybrid OBL-NSGA-III/MOTLBO optimization approach for sustainable design of earth-air heat exchangers in building construction
Asian Journal of Civil Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 15, 2025
Language: Английский
Integration of earth-air heat exchangers in sustainable construction: a hybrid NSGA-III/Dual simplex approach for multi-objective optimization
Asian Journal of Civil Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 23, 2024
Language: Английский
Heat transfer and fluid flow characteristics of a dual-tube heat exchanger with alternating flattened tubes
Sajjad Barati,
No information about this author
Ahmad Reza Sajadi,
No information about this author
B. Ghasemi
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et al.
Journal of Thermal Analysis and Calorimetry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 24, 2024
Language: Английский
Optimization of Condensation Heat Transfer Coefficients Using Taguchi Method: Influence of Temperature, Surface Type, and Coolant Flow Rate
N Lohith,
No information about this author
H. B. Bhaskar,
No information about this author
S Yogendrakumar
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 12, 2024
Abstract
This
study
investigates
the
optimization
of
heat
transfer
coefficients
(HTC)
during
condensation
processes
by
analyzing
effects
surface
type,
coolant
flow
rate
and
temperature
with
goal
enhancing
efficiency
thermal
management
systems
used
in
applications
such
as
power
generation,
HVAC,
industrial
cooling.
Sixty
experimental
data
sets
were
to
evaluate
five
rates
(0.5–2.5
L/min),
four
configurations
three
levels
(100°C,
105°C,
110°C).
An
L9
orthogonal
array
based
on
Taguchi’s
method
was
employed
minimize
trials.
Signal-to-Noise
(S/N)
ratio
analysis
Analysis
Variance
(ANOVA)
determine
significance
each
factor
HTC.
The
results
showed
that
had
most
substantial
effect
HTC
variation,
contributing
53.42%,
followed
type
(26.76%)
(19.19%).
Superhydrophobic
surfaces
fins
(SABWF)
exhibited
highest
HTC,
particularly
at
higher
temperatures
rates.
A
regression
model
an
R-squared
value
99.37%
developed,
indicating
high
predictive
accuracy.
These
findings
provide
critical
insights
for
optimizing
systems,
improving
overall
energy
system
performance.
Language: Английский