Parameter optimization of thermoelectric modules using a genetic algorithm

Heghmanns, Alexander; Beitelschmidt, Michael

doi:10.1016/j.apenergy.2015.06.034

Cited by 26 publications

(7 citation statements)

References 26 publications

(62 reference statements)

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“…Numerical simulation based on finite element method can be used to examine the 3-D characteristics of TEG system with nonlinear variable TE properties of TE materials, Thomson effect, hot-side and cold-side heat exchangers including fluids. Heghmanns and Beitelschmidt [34] used the finite element method to simulate the performance of TE modules. It was found that the best TE performance and the best stress performance could be obtained by optimizing the geometric parameters.…”

Section: Numerical Simulation Of Teg Systemmentioning

confidence: 99%

A review on thermoelectric-hydraulic performance and heat transfer enhancement technologies of thermoelectric power generator system

et al. 2018

THERM SCI

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The thermoelectric material is considered to a good choice to recycle the waste heat in the power and energy systems because the thermoelectric material is a solid-state energy converter which can directly convert thermal energy into electrical energy, especially suitable for high temperature power and energy systems due to the large temperature difference. However, the figure of merit of thermoelectric material is very low, and the thermoelectric power of generator system is even lower. This work reviews the recent progress on the thermoelectric power generator system from the view of heat transfer, including the theoretical analysis and numerical simulation on thermoelectric-hydraulic performance, conventional heat transfer enhancement technologies, radial and flow-directional segmented enhancement technologies for the thermoelectric power generator system. Review ends with the discussion of the future research directions of numerical simulation methods and heat transfer enhancement technologies used for the thermoelectric power generator in high temperature power and energy systems.

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Section: Numerical Simulation Of Teg Systemmentioning

confidence: 99%

A review on thermoelectric-hydraulic performance and heat transfer enhancement technologies of thermoelectric power generator system

et al. 2018

THERM SCI

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“…The topology optimization approach is related to wellaccepted studies in the thermoelectric literature such as functionally graded materials [1,11], the compatibility approach [12], genetic sizing approaches [13] and homogenization [3,14,15,16], however the methodology takes a completely different off-set and modeling approach, and converges to very different design solutions and hereby opens a hole new branch of optimization approaches for off-diagonal thermoelectric generators.…”

Section: Introductionmentioning

confidence: 99%

Design of segmented off-diagonal thermoelectric generators using topology optimization

Lundgaard

Sigmund

2019

Applied Energy

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A density-based topology optimization methodology is used to optimize the off-diagonal figure-of-merit and off-diagonal electrical power output of thermoelectric generators by distributing two different thermoelectric active materials in a two dimensional design space. Off-diagonal thermoelectric generators are characterized by converting a vertical thermal heat flux into a horizontal electric current, and may be useful in applications where the electrodes connected to the generator are prone to thermo-mechanical stress and wear. With basis in the topology optimization framework and a sequence of numerical examples, we discuss critical and important model parameters such as objective functions, heat transfer rates and device lengths. All results are supported by exhaustive crosschecks and validations, and it is shown that the off-diagonal figure-of-merit and the off-diagonal electrical power output may be improved by 233% and 229%, respectively, compared to other optimization approaches available in the literature.

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“…The configuration with two design phases and no void in the design domain complies with realistic configurations of TEGs and TECs. Heghmanns and Beitelschmidt (2015) presented a genetic approach to optimize the electric power output and the thermo-mechanical-stress for TEGs. Heghmanns and Beitelschmidt parameterized the height of the insulators; and the number, the width and the height of the TE legs.…”

Section: Introductionmentioning

confidence: 99%

A density-based topology optimization methodology for thermoelectric energy conversion problems

Lundgaard

Sigmund

2018

Struct Multidisc Optim

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Parameter optimization of thermoelectric modules using a genetic algorithm

Cited by 26 publications

References 26 publications

A review on thermoelectric-hydraulic performance and heat transfer enhancement technologies of thermoelectric power generator system

A review on thermoelectric-hydraulic performance and heat transfer enhancement technologies of thermoelectric power generator system

Design of segmented off-diagonal thermoelectric generators using topology optimization

A density-based topology optimization methodology for thermoelectric energy conversion problems

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