Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methods

Performance features of a thermoelectric system mounted in a chaotic channel with non-Newtonian power law fluid are numerically explored with finite element method. The analysis is performed for different values of Re number of the hot and cold fluid streams (250⩽Re⩽1000), power law indices (0.75⩽n⩽...

Full description

Bibliographic Details
Main Authors: Fatih Selimefendigil, Hakan F. Öztop, Lioua Kolsi, Mohamed Omri
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016821006013
_version_ 1818149856146882560
author Fatih Selimefendigil
Hakan F. Öztop
Lioua Kolsi
Mohamed Omri
author_facet Fatih Selimefendigil
Hakan F. Öztop
Lioua Kolsi
Mohamed Omri
author_sort Fatih Selimefendigil
collection DOAJ
description Performance features of a thermoelectric system mounted in a chaotic channel with non-Newtonian power law fluid are numerically explored with finite element method. The analysis is performed for different values of Re number of the hot and cold fluid streams (250⩽Re⩽1000), power law indices (0.75⩽n⩽1.25) and solid volume fraction of alumina (0⩽ϕ⩽4%) in water. It is observed that the fluid type with different power law indices significantly affected the electric potential variations and power generation of the thermoelectric system. Impacts of Re number on the power generation enhancement amount depends upon the power law index. The power rises by about 123.78%, 94.13% and 52.30% at the highest Re for different power law index combinations of (0.75,0.75), (0.75,12.5) and (1.25,1.25), respectively. Thermoelectric power reduces by about 39.71% for shear thinning fluids in both channels while it rises by about 43.48% for shear thickening fluids in chaotic channels. The potential of using nanofluids is more when both channels contain shear thinning fluids. Nanofluids rise the power of thermoelectric system by about 31%, 29% and 28% for the case when the hot side fluid is shear thinning, Newtonian and shear thickening fluid types while the cold side chaotic channel is shear thinning. When constant and varying interface temperature configurations are compared, there is at most 3% variations in the generated power while the trends in the curves for varying parameters are similar. The computational cost of constant interface temperature and computations only in the thermoelectric domains are much cheaper as compared to high fidelity coupled computational fluid dynamics simulations. The temperature field in the whole computational domain is approximated by using POD based approach with nine modes. A polynomial type regression model is used for POD-modal coefficients while fast and accurate results for interface temperatures are obtained.
first_indexed 2024-12-11T13:13:41Z
format Article
id doaj.art-0d834c8834214c26a35d888092d98918
institution Directory Open Access Journal
issn 1110-0168
language English
last_indexed 2024-12-11T13:13:41Z
publishDate 2022-05-01
publisher Elsevier
record_format Article
series Alexandria Engineering Journal
spelling doaj.art-0d834c8834214c26a35d888092d989182022-12-22T01:06:07ZengElsevierAlexandria Engineering Journal1110-01682022-05-0161535273549Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methodsFatih Selimefendigil0Hakan F. Öztop1Lioua Kolsi2Mohamed Omri3Department of Mechanical Engineering, Celal Bayar University, 45140 Manisa, Turkey; Corresponding author.Department of Mechanical Engineering, Technology Faculty, Fırat University, 23119 Elazığ, TurkeyDepartment of Mechanical Engineering, College of Engineering, University of Hai'l, Hai'l City 81451, Saudi Arabia; Laboratory of Metrology and Energy systems, Department of Energy Engineering, University of Monastir, Monastir 5000, TunisiaDeanship of Scientific Research, King Abdulaziz University, Jeddah, Saudi ArabiaPerformance features of a thermoelectric system mounted in a chaotic channel with non-Newtonian power law fluid are numerically explored with finite element method. The analysis is performed for different values of Re number of the hot and cold fluid streams (250⩽Re⩽1000), power law indices (0.75⩽n⩽1.25) and solid volume fraction of alumina (0⩽ϕ⩽4%) in water. It is observed that the fluid type with different power law indices significantly affected the electric potential variations and power generation of the thermoelectric system. Impacts of Re number on the power generation enhancement amount depends upon the power law index. The power rises by about 123.78%, 94.13% and 52.30% at the highest Re for different power law index combinations of (0.75,0.75), (0.75,12.5) and (1.25,1.25), respectively. Thermoelectric power reduces by about 39.71% for shear thinning fluids in both channels while it rises by about 43.48% for shear thickening fluids in chaotic channels. The potential of using nanofluids is more when both channels contain shear thinning fluids. Nanofluids rise the power of thermoelectric system by about 31%, 29% and 28% for the case when the hot side fluid is shear thinning, Newtonian and shear thickening fluid types while the cold side chaotic channel is shear thinning. When constant and varying interface temperature configurations are compared, there is at most 3% variations in the generated power while the trends in the curves for varying parameters are similar. The computational cost of constant interface temperature and computations only in the thermoelectric domains are much cheaper as compared to high fidelity coupled computational fluid dynamics simulations. The temperature field in the whole computational domain is approximated by using POD based approach with nine modes. A polynomial type regression model is used for POD-modal coefficients while fast and accurate results for interface temperatures are obtained.http://www.sciencedirect.com/science/article/pii/S1110016821006013Chaotic channelsThermoelectric conversionPower law fluidNanofluidFsinite element method
spellingShingle Fatih Selimefendigil
Hakan F. Öztop
Lioua Kolsi
Mohamed Omri
Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methods
Alexandria Engineering Journal
Chaotic channels
Thermoelectric conversion
Power law fluid
Nanofluid
Fsinite element method
title Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methods
title_full Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methods
title_fullStr Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methods
title_full_unstemmed Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methods
title_short Performance analysis of thermoelectric generator mounted chaotic channel by using non-Newtonian nanofluid and modeling with efficient computational methods
title_sort performance analysis of thermoelectric generator mounted chaotic channel by using non newtonian nanofluid and modeling with efficient computational methods
topic Chaotic channels
Thermoelectric conversion
Power law fluid
Nanofluid
Fsinite element method
url http://www.sciencedirect.com/science/article/pii/S1110016821006013
work_keys_str_mv AT fatihselimefendigil performanceanalysisofthermoelectricgeneratormountedchaoticchannelbyusingnonnewtoniannanofluidandmodelingwithefficientcomputationalmethods
AT hakanfoztop performanceanalysisofthermoelectricgeneratormountedchaoticchannelbyusingnonnewtoniannanofluidandmodelingwithefficientcomputationalmethods
AT liouakolsi performanceanalysisofthermoelectricgeneratormountedchaoticchannelbyusingnonnewtoniannanofluidandmodelingwithefficientcomputationalmethods
AT mohamedomri performanceanalysisofthermoelectricgeneratormountedchaoticchannelbyusingnonnewtoniannanofluidandmodelingwithefficientcomputationalmethods