An optimization study of structural size of parameterized thermoelectric generator module on performance

Wang, Jun; Li, Yilin; Zhao, Chuang; Cai, Yixi; Zhu, Lei; Zhang, Chaozhen; Jing, Wang; Zhao, Weidong; Cao, Peiguo

doi:10.1016/j.enconman.2018.01.043

Cited by 34 publications

(6 citation statements)

References 26 publications

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“…If the properties are treated as temperature-dependent, then the exact analytical solution of Equation (11) cannot be obtained. Several works focus on this aspect [46][47][48][49][50], thereby providing interesting findings. However, the predicted results with constant properties provide comprehensive predictions.…”

Section: Discussion On the Heat Flux Predictionmentioning

confidence: 99%

Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove

Lv¹,

Zheng

et al. 2018

Energies

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A compact water-cooled thermoelectric generator (TEG) based on a portable gas stove was designed and analyzed to supply electricity in off-grid scenarios. The TEG incorporates a newly designed heat collector, eight thermoelectric (TE) modules, and a radiator to ensure its portability (5.9 kg) and sufficiency of electric power (12.9 W). Detailed measurements and discussions on power load feature and TE efficiency are presented. Experiments showed that the power generation capability of the proposed TEG is compromised by its compactness over previous water-cooled TEGs. A theoretical model incorporated with heat leaks from various origins has been developed to illustrate that the designed TEG exerts the potential of every TE module, and to reveal the proportion of various heat fluxes. The predicted electric power, various heat fluxes, and TE efficiency agree well with experimental data. The limitations of TE efficiency and the nonlinearity caused by Joule heat are discussed quantitatively.

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Section: Discussion On the Heat Flux Predictionmentioning

confidence: 99%

Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove

Lv¹,

Zheng

et al. 2018

Energies

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“…This shows that the nanostructures of thermoelectric converters not only reduce volume and save materials but also effectively improve the performance of traditional thermoelectric generators. According to the advancement of the nanotechnology and fabrication techniques, numerous new promising nanomaterials and the optimisation of structures and circuits [92,93,94,95] have been investigated to improve the thermoelectric harvesters. Proto et al [96] have provided a comprehensive review on nanogenerators for human body energy harvesting.…”

Section: Energy Harvesting Techniques and Applicationsmentioning

confidence: 99%

Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review

Tang

Wang

Cattley

et al. 2018

Sensors

180

106

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Condition monitoring can reduce machine breakdown losses, increase productivity and operation safety, and therefore deliver significant benefits to many industries. The emergence of wireless sensor networks (WSNs) with smart processing ability play an ever-growing role in online condition monitoring of machines. WSNs are cost-effective networking systems for machine condition monitoring. It avoids cable usage and eases system deployment in industry, which leads to significant savings. Powering the nodes is one of the major challenges for a true WSN system, especially when positioned at inaccessible or dangerous locations and in harsh environments. Promising energy harvesting technologies have attracted the attention of engineers because they convert microwatt or milliwatt level power from the environment to implement maintenance-free machine condition monitoring systems with WSNs. The motivation of this review is to investigate the energy sources, stimulate the application of energy harvesting based WSNs, and evaluate the improvement of energy harvesting systems for mechanical condition monitoring. This paper overviews the principles of a number of energy harvesting technologies applicable to industrial machines by investigating the power consumption of WSNs and the potential energy sources in mechanical systems. Many models or prototypes with different features are reviewed, especially in the mechanical field. Energy harvesting technologies are evaluated for further development according to the comparison of their advantages and disadvantages. Finally, a discussion of the challenges and potential future research of energy harvesting systems powering WSNs for machine condition monitoring is made.

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“…Wang et al proposed a parameter optimization method for thermoelectric generators whose design variables are dimensions such as the height of devices. 2 For more improvements of the efficiency, topology optimization methods for thermoelectric devices have also been proposed. Takezawa and Kitamura proposed a topology optimization method for thermoelectric generators with several objective functions and boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

“…In order to improve

Z T

, some papers proposed optimum design methods for thermoelectric devices. Wang et al proposed a parameter optimization method for thermoelectric generators whose design variables are dimensions such as the height of devices 2 . For more improvements of the efficiency, topology optimization methods for thermoelectric devices have also been proposed.…”

Section: Introductionmentioning

confidence: 99%

A level‐set‐based shape optimization method for thermoelectric materials

Furuta

Sato

Izui

et al. 2022

Numerical Meth Engineering

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A thermoelectric device is a useful device which directly converts thermal energy to electric energy and vice versa. Although this device has such energy conversion functions, the demands in the industries are limited because of the relatively low conversion performance. In order to enhance this performance, the thermal conductivity of thermoelectric material should be low. According to dramatic improvements of nano-processing accuracy in recent decades, many thermoelectric materials have been developed with low thermal conductivities by utilizing a unique phenomenon of a nanoscale heat conduction which is called "temperature jump." However, few structural optimization methods have been proposed for nanoscale thermoelectric materials since a conventional analysis method cannot be applied to a heat conduction problem in a nanostructure. On behalf of the Poisson's equation, we need to introduce a Boltzmann transport equation for describing a nanoscale heat conduction problem with a discontinuity effect on a material interface. The level set method has a potential for dealing with such a boundary condition in structural optimization. That is, material interfaces can be expressed by the iso-surface of the level set function, and the boundary effects are imposed in the boundaries during the optimization procedures. In this paper, we propose a level-set-based shape optimization method for thermoelectric materials. First, an analysis method for a nanoscale heat conduction problem based on the Boltzmann transport equation is introduced. An objective functional is defined for obtaining a low thermal conductivity material. Then, based on an adjoint method, we derive the shape sensitivity, which enables us to consider the effects of the temperature jumps on the material interfaces. Next, a level-set-based shape optimization is applied to our optimization problem. Finally, as a validation of our proposed method, several numerical examples are computed.

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An optimization study of structural size of parameterized thermoelectric generator module on performance

Cited by 34 publications

References 26 publications

Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove

Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove

Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review

A level‐set‐based shape optimization method for thermoelectric materials

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