Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system

Zhang, Feng; Wang, Xinhe; Hou, Xinting; Cheng, Han; Wu, Mingying; Liu, Zhongbing

doi:10.1016/j.apenergy.2021.118208

Cited by 17 publications

(2 citation statements)

References 29 publications

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“…Thermoelectric generators TEGs are a quick and easy way to recover heat by producing electricity whenever there is or can be a temperature gradient [36][37], notwithstanding their low conversion efficiency. Furthermore, because of their possible connections to any heat recovery concept whenever a temperature gradient is feasible, thermoelectric generators are a great tool for hybrid heat recovery systems [38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Dual harvesting from exhaust gas of diesel generators using thermoelectric generators and cold water tank

Faraj,

Salameh,

Al Takash

et al. 2024

J. Phys.: Conf. Ser.

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The present work concerns a dual harvesting concept applied to exhaust gas of Diesel generators using thermoelectric generators and cold water tank. To proceed, a simplified thermal modelling is developed and appropriate parametric analysis of power generation with the TEGs and heat recovered is conducted in function of the Diesel generator power and the TEG thermal conductivity and thickness. It was shown that powers up to 534 W can be generated with the TEGs and heat recovery rates up to 4463 W can be obtained for a Diesel generator power of 125 kW. Also, it was shown that the temperature difference across the TEGs and the power generated increase exponentially when the Diesel generator power and ratio of thickness to thermal conductivity of TEGs increase.

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Section: Introductionmentioning

confidence: 99%

Dual harvesting from exhaust gas of diesel generators using thermoelectric generators and cold water tank

Faraj,

Salameh,

Al Takash

et al. 2024

J. Phys.: Conf. Ser.

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“…While they have low conversion efficiency, the thermoelectric generators appear as simple and rapid means to recover heat by generating electricity wherever a gradient of temperature is present or can be generated [36][37]. Moreover, thermoelectric generators present an excellent solution of hybridization in heat recovery systems since they can be coupled with any heat recovery heat exchanger wherever a gradient of temperature is possible [38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

New Concept of Power Generation from TEGs Using the Sun Irradiation and Oil Tanks – Thermal Modeling and Parametric Study

Faraj,

El Achkar,

Abdulhay

et al. 2023

DDF

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In this manuscript, a new concept of power generation from thermoelectric generators TEGs using the sun irradiation and two oil tanks, one hot and one cold, is proposed. It consists of two oil tanks separated by a plate covering several TEGs in series. The oil tank at the bottom of the system constitutes a cold convection condition for the TEGs plate; on the other hand, the upper oil tank accounts for a hot convection condition since its upper surface is transparent and therefore subjected to the sun irradiation that will heat up the oil. To test the feasibility of this concept, an appropriate thermal modeling is developed and associated parametric analysis was carried out. It shows that powers up to 242 W can be generated with a system having a hot oil tank height of 0.2 m along with a width and length of 2 m each.

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A New Reliability Approach for the Fuzzy and Random Structure Based on the Uniformly Distributed Membership Level

Lü²,

Zhang³

et al. 2022

Int. J. Fuzzy Syst.

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Variance-based global sensitivity analysis of a hybrid thermoelectric generator fuzzy system

Cited by 17 publications

References 29 publications

Dual harvesting from exhaust gas of diesel generators using thermoelectric generators and cold water tank

Dual harvesting from exhaust gas of diesel generators using thermoelectric generators and cold water tank

New Concept of Power Generation from TEGs Using the Sun Irradiation and Oil Tanks – Thermal Modeling and Parametric Study

A New Reliability Approach for the Fuzzy and Random Structure Based on the Uniformly Distributed Membership Level

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