Irreversibility analysis for optimization design of plate fin heat exchangers using a multi-objective cuckoo search algorithm

Wang, Zhe; Li, Yanzhong

doi:10.1016/j.enconman.2015.05.009

Cited by 68 publications

(16 citation statements)

References 34 publications

(46 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The traditional evaluation of the energy efficiency of heat exchangers and the use of nanofluids to enhance heat transfer analysis are limited to changes in related parameters such as Nusselt number, Reynolds number, heat transfer rate, pumping and convective heat transfer coefficients [42,43]. To dig deep into the energy transfer, utilization and loss caused by the use of nanofluids in heat exchangers, this paper uses the idea of heat exchanger effectiveness to build an exergy transfer model using exergy analysis and exergy transfer theory.…”

Section: Exergy Transfer Model and Data Reductionmentioning

confidence: 99%

Performance and Exergy Transfer Analysis of Heat Exchangers with Graphene Nanofluids in Seawater Source Marine Heat Pump System

Wang

Han

et al. 2020

Energies

Self Cite

View full text Add to dashboard Cite

A marine seawater source heat pump is based on the relatively stable temperature of seawater, and uses it as the system’s cold and heat source to provide the ship with the necessary cold and heat energy. This technology is one of the important solutions to reduce ship energy consumption. Therefore, in this paper, the heat exchanger in the CO2 heat pump system with graphene nano-fluid refrigerant is experimentally studied, and the influence of related factors on its heat transfer enhancement performance is analyzed. First, the paper describes the transformation of the heat pump system experimental bench, the preparation of six different mass concentrations (0~1 wt.%) of graphene nanofluid and its thermophysical properties. Secondly, this paper defines graphene nanofluids as beneficiary fluids, the heat exchanger gains cold fluid heat exergy increase, and the consumption of hot fluid heat is heat exergy decrease. Based on the heat transfer efficiency and exergy efficiency of the heat exchanger, an exergy transfer model was established for a seawater source of tube heat exchanger. Finally, the article carried out a test of enhanced heat transfer of heat exchangers with different concentrations of graphene nanofluid refrigerants under simulated seawater constant temperature conditions and analyzed the test results using energy and an exergy transfer model. The results show that the enhanced heat transfer effect brought by the low concentration (0~0.1 wt.%) of graphene nanofluid is greater than the effect of its viscosity on the performance and has a good exergy transfer effectiveness. When the concentration of graphene nanofluid is too high, the resistance caused by the increase in viscosity will exceed the enhanced heat transfer gain brought by the nanofluid, which results in a significant decrease in the exergy transfer effectiveness.

show abstract

Section: Exergy Transfer Model and Data Reductionmentioning

confidence: 99%

Performance and Exergy Transfer Analysis of Heat Exchangers with Graphene Nanofluids in Seawater Source Marine Heat Pump System

Wang

Han

et al. 2020

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this section, the following assumptions were made: (1) no heat exchange between the outer surface and the surrounding environment occurred; (2) air was assumed to be the working fluid, and the thermal physical properties were assumed to be constant and ideal gases [24]; (3) the configuration parameters of the flow channels on the fresh air side and the exhaust air side were assumed to be identical, except for the total channel length; (4) The numbers of plate plies on each side were assumed to be identical. These assumptions were made for each calculation in this study.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…Peng and Ling [20] demonstrated the successful application of the genetic algorithm combined with back propagation neural networks for the optimal design of plate-fin heat exchangers. Several investigators used other intelligent algorithms like the biogeography-based optimization algorithm [21], adaptive simulated annealing algorithm [22], bees algorithm [23], cuckoo search algorithm [24] and the Jaya algorithm [25], to optimize the heat exchangers.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of an Air-to-Air Heat Exchanger with Cross-Corrugated Triangular Ducts by Using a Particle Swarm Optimization Algorithm

et al. 2017

View full text Add to dashboard Cite

Air-to-air heat exchangers with cross-corrugated triangular ducts are widely used in various industrial fields to recover waste heat. The geometric parameters of the heat exchangers greatly affect the performance and total annual cost of these systems. In this study, the effectiveness-number of transfer units (ε-NTU) method was utilized to develop the thermal mathematical model, which was verified by comparing it with previous research. The configuration parameters of the heat exchanger were optimized in this study. The particle swarm optimization (PSO) algorithm was applied using both single and multi-objective algorithm. The colburn factor (j factor), friction factor (f factor), and comprehensive thermal hydraulic performance index (JF factor) were considered as objective functions to be optimized using a single objective and multi-objective algorithm. Then, the entropy generation rate and total annual cost were optimized by using a multi-objective PSO algorithm. In addition, to identify the influential geometric parameters, a global sensitivity analysis was performed. The sensitivity analysis showed that the apex angle θ, channel height H, and heat exchanger height L h influenced the performance and annual total cost of these systems.

show abstract

“…Patel and Savsani implemented multiobjective improved TLBO (MO‐ITLBO) algorithm for the optimization of weight, pressure drop, cost, and effectiveness of cross flow PFHX. Wang and Li introduced and applied an improved multiobjective cuckoo search (IMOCS) algorithm for the optimization of PFHX. The authors considered conflicting thermo‐economic objectives for the optimization.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective thermo‐economic and thermodynamics optimization of a plate–fin heat exchanger

Raja

Jhala

Patel

2017

Heat Trans. Asian Res.

View full text Add to dashboard Cite

In the present work, a multiobjective heat transfer search (MOHTS) algorithm is proposed and investigated for thermo‐economic and thermodynamic optimization of a plate–fin heat exchanger (PFHX). Heat exchanger effectiveness and total annual cost (TAC) are considered as thermo‐economic objective functions. Similarly, entropy generation rate and heat exchanger effectiveness are considered as thermodynamic objective functions. Six design variables including flow length of cold and hot streams, no flow length, fin height, fin pitch, and fin offset length are considered as decision variables. Effectiveness and accuracy of the proposed algorithm are evaluated by analyzing application examples of a PFHX. The results obtained using the proposed algorithm for thermo‐economic considerations are compared with the available results of NSGA‐II and TLBO in the literature. Results show that 3.56% to 10.29% reductions in TAC with 0.48% to 0.81% higher effectiveness are observed using the proposed approach compared to TLBO and NSGA‐II approaches. Additionally, the distribution of each design variable in its allowable range is also shown for thermo‐economic consideration to identify the level of conflict on objective functions. The sensitivity analyses of design variables on the objective functions value are also performed in detail.

show abstract

Irreversibility analysis for optimization design of plate fin heat exchangers using a multi-objective cuckoo search algorithm

Cited by 68 publications

References 34 publications

Performance and Exergy Transfer Analysis of Heat Exchangers with Graphene Nanofluids in Seawater Source Marine Heat Pump System

Performance and Exergy Transfer Analysis of Heat Exchangers with Graphene Nanofluids in Seawater Source Marine Heat Pump System

Optimal Design of an Air-to-Air Heat Exchanger with Cross-Corrugated Triangular Ducts by Using a Particle Swarm Optimization Algorithm

Multiobjective thermo‐economic and thermodynamics optimization of a plate–fin heat exchanger

Contact Info

Product

Resources

About