Parametric Optimization of Exergy Efficiency in Solar Thermoelectric Generators

Ejenakevwe, Kevwe A.; Mgbemene, Chigbo A.; Njoku, Howard O.; Ekechukwu, O. V.

doi:10.1007/s11664-020-08021-0

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…The STEG energy efficiency (η STEG ) is given in Eq. 1, and its exergy efficiency (ε STEG ) can be obtained using the analysis previously presented in (Petela, 1964;Ejenakevwe et al, 2020;Song et al, 2019), which is given by Eq. 2.…”

Section: Energy and Exergy Analysismentioning

confidence: 99%

Energy and exergy analysis of a bidirectional solar thermoelectric generator combining thermal energy storage

Montero,

Lamba,

Singh

et al. 2023

Front. Energy Res.

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In this paper, energy and exergy analysis of a bidirectional solar thermoelectric generator (STEG) coupled to a latent heat storage and cooling system (LHSCS) has been carried out. The effect of various parameters of LHSCS on energy and exergy efficiencies of STEG have been analysed under climatic conditions of Chile’s Atacama Desert. It is found that the most relevant design parameter to improve the energy and exergy efficiencies of the thermoelectric generator (TEG) is the container insulation, followed by heat sink at the TEG hot side, fin thickness and the aspect ratio of the container. The results showed that an optimally designed insulation container can improve the energy and exergy efficiencies of LHSCS by 30% and 200%, respectively, and the TEG conversion efficiency by 30% during nighttime. Further, inclusion of heat sink at TEG hot side during reverse operation of TEG at night can improve the TEG efficiency by 20%. The optimal fin thickness can improve the TEG conversion efficiency by 20% during the night and LHSCS energy and exergy efficiencies by 30% and 23%, respectively. The container geometry should have higher aspect ratios. This study may help in optimal design of LHSCS for solar energy conversion applications in the desert locations.

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Section: Energy and Exergy Analysismentioning

confidence: 99%

Energy and exergy analysis of a bidirectional solar thermoelectric generator combining thermal energy storage

Montero,

Lamba,

Singh

et al. 2023

Front. Energy Res.

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“…At the selective surface absorber, the input heat is given as 27

Q_{in} goodbreak= η_{opt} C_{opt} {GA}_{s} α_{s} τ_{g}

where

α_{s}

τ_{g}

G

C_{opt}

η_{opt}

and

A_{s}

are the absorptivity of SSA, transmissivity of the glass cover, incident global solar irradiation, optical concentration ratio (OCR), optical efficiency and surface area of SSA respectively.…”

Section: Numerical Model and Its Validationmentioning

confidence: 99%

Multi‐dimensional optimization of a concentrated solar thermoelectric generator

Maduabuchi

Lamba

Eke

et al. 2021

Intl J of Energy Research

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Summary Research on thermoelectric geometry optimization has focused on stand‐alone thermoelectric devices utilizing energy analysis. This paper considers the multi‐parameter optimization of a solar‐powered thermoelectric generator using exergy analysis since it is more comprehensive than energy analysis. Results indicate that the energy and exergy efficiencies are minimally affected by very high optical concentration ratio values. Also, for achieving maximum performance, larger thermoelectric leg cross‐sectional area to length ratios should be used, the load resistance connected must be kept at an optimum value of 0.06 normalΩ, and an optimal hot junction temperature of 489.8 K are required to obtain maximum performance from the device. Finally, the thermoelement area to length ratio is increased by 10% for maximum system performance.

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“…A mathematical model has been proposed to stimulate the energetic & exergetic performance of the solar-thermal collector system on the basis of solar parameters basis (Wang et al, 2019). Optimization of solar thermoelectric energy corresponding to hot side temperature , thermoelectric leg length & thermal concentration ratio (Ejenakevwe et al, 2020). Single & multi effect absorption was conduct in a solar heating & cooling system using Multiobjective optimization (Shirazi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization of Solar Parabolic Collector using metaheuristic Optimization

Dutta¹,

Biswas²,

Majumder³

2021

CIML

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Estimation of an exceptionally exact model for solar parabolic collector from the experimental data is an important task for the researchers for the recreation, assessment, control and plan. Efficient optimization techniques are fundamental to accomplish this undertaking. In this paper a modified optimization technique is proposed for productive and precise estimation of the parameters of solar parabolic collector. The proposed algorithm is concentrated on the modification of Elephant Swarm Water Search Algorithm. This algorithm tested on parabolic collector parameters, namely reflectivity, Absorptivity & period of sun incidence. Response surface methodology has been used to implement the non linear model between the input & output parameters of the process. In addition, the proposed ESWSA optimization technique has been tested against the manufacture datasheet of solar parabolic reflector. Results show the effectiveness of ESWSA algorithm for modeling of the solar parabolic systems. Keyword : Solar parabolic Collector, Parameters, ESWSA, Optimization

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Parametric Optimization of Exergy Efficiency in Solar Thermoelectric Generators

Cited by 10 publications

References 14 publications

Energy and exergy analysis of a bidirectional solar thermoelectric generator combining thermal energy storage

Energy and exergy analysis of a bidirectional solar thermoelectric generator combining thermal energy storage

Multi‐dimensional optimization of a concentrated solar thermoelectric generator

Parametric optimization of Solar Parabolic Collector using metaheuristic Optimization

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