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Geometric optimization of thermoelectric generator using genetic algorithm considering contact resistance and Thomson effect
- Source :
- International Journal of Energy Research. 45:9382-9395
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- BAYHAN, NEVRA/0000-0002-7497-2377; Tiryaki, Hasan/0000-0001-9175-0269; Yusuf, Aminu/0000-0003-4169-6529 WOS:000611968800001 Contact resistance and Thomson heat are the two major factors in the analysis of thermoelectric modules that are often being ignored. Each of these factors has an adverse effect on the output performance of a thermoelectric module. In this study, expression for maximum power output that includes both the contact resistance and the Thomson effect has been optimized using genetic algorithm to obtain the optimum geometric parameters of a thermoelectric generator. Each leg has electrical and thermal contact resistances of 2 x 10(-9) Omega m(2) and 1.8 x 10(-4) m(2) K/W, respectively. The results of the optimization for the maximum power output and the energy conversion efficiency for Skutterudites thermoelectric materials operating at a maximum temperature difference of 500 K are 30.1 W and 9.87%, respectively. When only the contact resistances are not included, the results rise by 19.4% for the maximum power output and 11.65% for the energy conversion efficiency. When only the Thomson heat is not included, the result rise by 2.66% for the maximum power output and 5.67% for the energy conversion efficiency. These two factors should always be considered in the analysis of thermoelectric modules, neglecting them can lead to an overestimation of the output performance. Scientific and Technological Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [216M252, 216M254]; Scientific Coordination Unit of Istanbul University [32641, 35577] Scientific and Technological Research Council of Turkey, Grant/Award Numbers: 216M252, 216M254; Scientific Coordination Unit of Istanbul University, Grant/Award Numbers: 32641, 35577
- Subjects :
- Optimization
Imagination
Genetic Algorithm
Thesaurus (information retrieval)
Chemical substance
Renewable Energy, Sustainability and the Environment
Computer science
media_common.quotation_subject
Contact resistance
Energy Engineering and Power Technology
Thermoelectric Generator
computer.software_genre
Thomson Effect
Search engine
Fuel Technology
Thermoelectric generator
Nuclear Energy and Engineering
Multi-Parameter
Genetic algorithm
Data mining
computer
Multi parameter
Contact Resistance
media_common
Subjects
Details
- ISSN :
- 1099114X and 0363907X
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- International Journal of Energy Research
- Accession number :
- edsair.doi.dedup.....38479c27e7117bcd771f029259516569
- Full Text :
- https://doi.org/10.1002/er.6467