Geometric optimization of thermoelectric coolers in a confined volume using genetic algorithms

Cheng, Yu‐Wen; Lin, Wei–Chun

doi:10.1016/j.applthermaleng.2005.03.007

Cited by 109 publications

(65 citation statements)

References 10 publications

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“…The maximum Q c increases with the decrease of leg length until it reaches a maximum and then decrease with a further reduction in the thermo-element length [2]. The COP increases with an increase in thermo-element length.…”

Section: Mathematical Modeling Of Tecsmentioning

confidence: 86%

“…Nain used NSGA-II for multi-objective optimization of STECs [7]. NSGA-II was able to maintain a better spread of solutions and converged better in the obtained non-dominated front compared to two other elitist MOEAs-PAES and SPEA [2]. The value of geometric properties of STECs was optimized to achieve Pareto-optimal solutions at different values of thermal resistance.…”

Section: Geometry Properties Optimization Issuementioning

confidence: 99%

“…The heat flows αIT h and αIT c caused by the Peltier effect are absorbed at the cold junction and released from the hot junction, respectively. Joule heating 1/2I 2 (ρrL/A + 2r c /A) due to the flow of electrical current through the material is generated both inside the TECs legs and at the contact surfaces between the TECs legs and the two substrates [2]. TEC is operated between temperatures T c and T h , so heat conduction kA(T h − T c ) occurs through the TEC legs.…”

Section: Mathematical Modeling Of Tecsmentioning

confidence: 99%

“…Cheng [2] combined a TEC model and a genetic algorithm to optimize the geometry and performance of the STECs [2]. The geometric properties of STECs were considered as the search variables and were optimized simultaneously to reach the maximum cooling rate under the requirement of minimum COP, the confined volume of STECs and the restriction on the maximum cost of the material.…”

Section: Geometry Properties Optimization Issuementioning

confidence: 99%

See 3 more Smart Citations

Optimization Of Thermo-Electric Coolers Using Hybrid Genetic Algorithm And Simulated Annealing

Khanh¹,

Vasant²,

Elamvazuthi³

et al. 2014

Archives of Control Sciences

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Thermo-electric Coolers (TECs) nowadays are applied in a wide range of thermal energy systems. This is due to their superior features where no refrigerant and dynamic parts are needed. TECs generate no electrical or acoustical noise and are environmentally friendly. Over the past decades, many researches were employed to improve the efficiency of TECs by enhancing the material parameters and design parameters. The material parameters are restricted by currently available materials and module fabricating technologies. Therefore, the main objective of TECs design is to determine a set of design parameters such as leg area, leg length and the number of legs. Two elements that play an important role when considering the suitability of TECs in applications are rated of refrigeration (ROR) and coefficient of performance (COP). In this paper, the review of some previous researches will be conducted to see the diversity of optimization in the design of TECs in enhancing the performance and efficiency. After that, single-objective optimization problems (SOP) will be tested first by using Genetic Algorithm (GA) and Simulated Annealing (SA) to optimize geometry properties so that TECs will operate at near optimal conditions. Equality constraint and inequality constraint were taken into consideration.

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Section: Mathematical Modeling Of Tecsmentioning

confidence: 86%

Section: Geometry Properties Optimization Issuementioning

confidence: 99%

Section: Mathematical Modeling Of Tecsmentioning

confidence: 99%

Section: Geometry Properties Optimization Issuementioning

confidence: 99%

See 2 more Smart Citations

Optimization Of Thermo-Electric Coolers Using Hybrid Genetic Algorithm And Simulated Annealing

Khanh¹,

Vasant²,

Elamvazuthi³

et al. 2014

Archives of Control Sciences

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“…The lack of published papers on PTs optimization is in contrast to the relatively large number on optimization of classical TE devices, see [9], [10] and [11].…”

Section: Introductionmentioning

confidence: 89%

Elasto-thermoelectric non-linear, fully coupled, and dynamic finite element analysis of pulsed thermoelectrics

Pérez-Aparicio

Palma

Moreno-Navarro

2016

Applied Thermal Engineering

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This paper presents a numerical study on the influence of pulsed electric signals applied to the overcooling of thermoelectric devices. To this end, an experimental setup taken from the literature and a commercial cell are simulated using a complete, specially developed research finite element code. The electro-thermal coupling is extended to include the elastic field, demonstrating that the increment of cooling can produce mechanical failure. Numerical results are developed and the variation of overcooling versus pulse gain and versus duration is validated towards a new analytical expression and the experimental data. The issue of optimal intensity at steady-state is also newly developed. Thermal and mechanical trends are presented using constant and variable (with temperature) material properties for a single thermoelement. While some of the first trends are similar to those of published works, others are different or directly new, all closer to those of the experiments. The mechanical results have not been thoroughly studied until recently. The three-dimensional finite element mesh includes non-thermoelectric materials that are fundamental for the current study. Distribution of stresses during steady and transient states are shown inside the thermoelement, for five components and for the combined Tresca stress. Concentrations at corners of the lower side appear close to the cold face. Due to these concentrations, 27-node isoparametric, quadratic brick elements are used. It is shown that the mechanical field is an important factor in the design of pulsed thermoelectrics, since for practical applications the stress levels are close or slightly above the admissible limits.

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Thermoelectric Systems as an Alternative to Reverse Cycle Engines

RAMOUSSE,

PAILHЀS

2023

Refrigerators, Heat Pumps and Reverse Cycle Engines

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Geometric optimization of thermoelectric coolers in a confined volume using genetic algorithms

Cited by 109 publications

References 10 publications

Optimization Of Thermo-Electric Coolers Using Hybrid Genetic Algorithm And Simulated Annealing

Optimization Of Thermo-Electric Coolers Using Hybrid Genetic Algorithm And Simulated Annealing

Elasto-thermoelectric non-linear, fully coupled, and dynamic finite element analysis of pulsed thermoelectrics

Thermoelectric Systems as an Alternative to Reverse Cycle Engines

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