Heat transfer enhancement of thermoelectric cooling module with nanofluid and ferrofluid as base fluids

Wiriyasart, Songkran; Suksusron, Poonyawee; Hommalee, C.; Siricharoenpanich, A.; Naphon, Paisarn

doi:10.1016/j.csite.2021.100877

Cited by 43 publications

(12 citation statements)

References 45 publications

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“…The thermophysical properties of the Fe 3 O 4 nanofluids and their weights were calculated based on previous studies as well as the concentration ratio of Fe 3 O 4 nanofluids at volumes of 0.005% and 0.015%. 13…”

Section: Methodsmentioning

confidence: 99%

Heat transfer performance of thermoelectric cooling integrated with wavy channel heat sink with different magnetic distances

2023

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Section: Methodsmentioning

confidence: 99%

Heat transfer performance of thermoelectric cooling integrated with wavy channel heat sink with different magnetic distances

2023

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“…Next, Almodfer et al [44] used the random vector to determine the efficiency of a solar-powered thermoelectric cooler. The most productive studies have been continuously done [45][46][47][48][49][50][51][52][53]. They apply the thermoelectric cooling module for many systems, including; cold-hot water dispensers [45,46], sensible air cool-warm fan [47], liquid cooler module [48], cooling CPU [49], electric generator [50], the cooling module with nanofluid as coolant [51], and cooling electrical vehicle battery module [52,53].…”

Section: Introductionmentioning

confidence: 99%

“…The most productive studies have been continuously done [45][46][47][48][49][50][51][52][53]. They apply the thermoelectric cooling module for many systems, including; cold-hot water dispensers [45,46], sensible air cool-warm fan [47], liquid cooler module [48], cooling CPU [49], electric generator [50], the cooling module with nanofluid as coolant [51], and cooling electrical vehicle battery module [52,53]. The thermoelectric cooling modules use water and nanofluids as working fluids flowing through the systems.…”

Section: Introductionmentioning

confidence: 99%

Study on Thermal Performance of the Small-Scale Air Conditioning with Thermoelectric Cooling Module

Poojeera¹,

Srichat²,

Naphon³

et al. 2022

MMEP

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This work presents the COP and EER of the combined air conditioning and thermoelectric cooling systems. The small-scale air conditioning (8000 BTU/hr) with thermoelectric cooling systems is set up in the closed room (2.0*2.0*2.0 m), and free energy from the photovoltaic cell is used for the thermoelectric cooling module. The COP and EER with the thermoelectric cooling module are higher than those without the thermoelectric cooling module. It is observed that the COP and EER increase as the axial fan speeds increase. In addition, there is good agreement from the comparison, giving an average error of 3.77%. The highest COP and EER for the system with the thermoelectric cooling module are 1.71 and 5.85 for an airflow rate of 4.7 m3/s, respectively. The results can be used as guidelines for developing the thermal performance of air conditioning by combining it with the thermoelectric cooling module.

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“…The AgO‐W nanofluid‐based system was reported to show the best results with a maximum battery temperature reduction of about 4.1 K. The cooling performance of Al 2 O 3 ‐W nanofluids with two volume fractions (1% and 2%) was presented experimentally by Mashayekhi et al 13 The nanofluids were reported to show a significant reduction of 15.5% and 8.5% in module maximum temperature values, for tested active and hybrid systems, respectively. Wiriyasart et al 14 performed an experimental study to investigate the thermal performance of a battery package integrated with a thermoelectric module. The water, TiO 2 nanofluid (0.005% concentration), and Fe 3 O 4 ferrofluid (0.015% concentration) were used as heat transfer fluids.…”

Section: Introductionmentioning

confidence: 99%

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

Dwivedi

Kumar

Goel

2022

Intl J of Energy Research

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Summary The selection of suitable nanoparticles is an important task for their applications as heat transfer promoters for the mitigation of thermal issues in energy storage systems. This paper aims to present a systematic framework for the selection of nanoparticles based on multiple attribute decision‐making tools. A hybrid Grey relational analysis‐based technique for order preference by similarity to ideal solution (GRA‐TOPSIS) approach combining the advantages of both GRA and TOPSIS methodologies is proposed and opted for evaluation, comparison, and ranking of different alternatives under the influence of several objective and subjective criteria weights. The criteria importance through inter‐criteria correlation (CRITIC) and entropy weighing methods are employed to determine the objective weights, while the subjective weights are calculated using the analytic hierarchy process (AHP). Also, an attempt is made to present a generalized weight integration formula that combines several objective and subjective weights of attributes. The results demonstrate Al2O3 nanoparticles as the most acceptable alternative. The sensitivity analysis performed proves the robustness and feasibility of the adopted decision framework. Additionally, the rank reversal issue is also addressed to present the qualitative assessment of estimated results. Thus, the evaluation methodology discussed in this paper seems to provide a theoretical reference strategy for nanoparticle selection in heat transfer enhancement applications. Highlights A novel integrated multiple criteria decision making scheme for nanoparticle selection is presented An attempt is made to present a generalized weight integration formula combining several objective and subjective weights of attributes Thermal conductivity and specific surface area are reported as the most significant attributes. Al2O3 is highlighted as the best choice. The sensitivity analysis and rank‐reversal test have also been performed to check the robustness of suggested procedures and Al2O3 has outperformed all other alternatives under consideration.

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Heat transfer enhancement of thermoelectric cooling module with nanofluid and ferrofluid as base fluids

Cited by 43 publications

References 45 publications

Heat transfer performance of thermoelectric cooling integrated with wavy channel heat sink with different magnetic distances

Heat transfer performance of thermoelectric cooling integrated with wavy channel heat sink with different magnetic distances

Study on Thermal Performance of the Small-Scale Air Conditioning with Thermoelectric Cooling Module

Selection of nanoparticles for battery thermal management system using integrated multiple criteria decision‐making approach

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