Second law thermodynamic study of heat exchangers: A review

K Manjunath, SC Kaushik - Renewable and Sustainable Energy Reviews, 2014 - Elsevier
Heat exchangers are thermal systems which are used extensively, have a major role in
energy conservation aspect and preventing global warming. This paper is based on reviews …

Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm

M Fesanghary, S Asadi, ZW Geem - Building and environment, 2012 - Elsevier
The improvement of energy efficiency and environmental performance of buildings is
considered a major priority worldwide. New building regulations have an explicit orientation …

Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm

S Sanaye, H Hajabdollahi - Applied energy, 2010 - Elsevier
Thermal modeling and optimal design of compact heat exchangers are presented in this
paper. ε–NTU method was applied to estimate the heat exchanger pressure drop and …

Exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization

S Das, A Mukhopadhyay, A Roy… - … on Systems, Man …, 2010 - ieeexplore.ieee.org
The theoretical analysis of evolutionary algorithms is believed to be very important for
understanding their internal search mechanism and thus to develop more efficient …

A fully developed flow thermofluid model for topology optimization of 3D-printed air-cooled heat exchangers

JHK Haertel, GF Nellis - Applied thermal engineering, 2017 - Elsevier
In this work, density-based topology optimization is applied to the design of the air-side
surface of dry-cooled power plant condensers. A topology optimization model assuming a …

Shower water heat recovery in high-rise residential buildings of Hong Kong

LT Wong, KW Mui, Y Guan - Applied Energy, 2010 - Elsevier
This paper investigates the potential for shower water heat recovery from bathrooms
equipped with instantaneous water heaters in high-rise residential buildings of Hong Kong …

Accelerating heat exchanger design by combining physics-informed deep learning and transfer learning

Z Wu, B Zhang, H Yu, J Ren, M Pan, C He… - Chemical Engineering …, 2023 - Elsevier
Recently developed physics-informed deep learning is regarded as a transformative
learning philosophy that has been applied in many scientific domains, but such applications …

Techno-economic optimization of a shell and tube heat exchanger by genetic and particle swarm algorithms

H Sadeghzadeh, MA Ehyaei, MA Rosen - Energy Conversion and …, 2015 - Elsevier
The use of genetic and particle swarm algorithms in the design of techno-economically
optimum shell-and-tube heat exchangers is demonstrated. A cost function (including costs of …

The application of field synergy number in shell-and-tube heat exchanger optimization design

J Guo, M Xu, L Cheng - Applied energy, 2009 - Elsevier
In the present work the field synergy principle is applied to the optimization design of the
shell-and-tube heat exchanger with segmental baffles. The field synergy number which is …

Cost and entropy generation minimization of a cross-flow plate fin heat exchanger using multi-objective genetic algorithm

P Ahmadi, H Hajabdollahi, I Dincer - 2011 - asmedigitalcollection.asme.org
In the present work, a thermal modeling is conducted for optimal design of compact heat
exchangers in order to minimize cost and entropy generation. In this regard, an ε− NTU …