2015
DOI: 10.1016/j.apenergy.2015.08.025
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Performance analysis and optimum operation of a thermoelectric generator by Taguchi method

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Cited by 97 publications
(24 citation statements)
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References 39 publications
(73 reference statements)
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“…6 will be used for specific performance and "smaller the best" will be used for the pressure drop and variation of temperature. A high value of η indicates a good performance [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”
Section: Signal To Noise Ratiomentioning
confidence: 99%
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“…6 will be used for specific performance and "smaller the best" will be used for the pressure drop and variation of temperature. A high value of η indicates a good performance [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”
Section: Signal To Noise Ratiomentioning
confidence: 99%
“…On the other hand, angle of attack is the most important parameter which causes the pressure drop in the heat sink. On the other hand, Chen et al have optimized the efficiency of the thermoelectric generator using Taguchi method [16]. The orthogonal array of L25 5 6with six design parameters namely external load resistance, hot side temperature, thickness and height of fins as well as length and width of the heat sink is used in the optimization process.…”
Section: Introductionmentioning
confidence: 99%
“…Several systems have been investigated and optimized using Taguchi approach for instance studying and optimization of diesel engine working on biodiesel [13], performance analysis and optimization of a thermoelectric generator (TEG) [14], optimization of an SI engine used pure gasoline, ethanol, and methanol [15], optimization of ground heat exchangers (GHX) for space heating and cooling applications [16].…”
Section: Introductionmentioning
confidence: 99%
“…Their results indicated that a higher vehicle speed could accelerate the transient response. Chen et al [10] optimized the TEG performance using the Taguchi method, and showed that the output power of the TEG system could be further enhanced by around 6% by optimizing a second-stage TEG.…”
Section: Introductionmentioning
confidence: 99%