2015
DOI: 10.1016/j.enconman.2015.04.060
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The practical performance forecast and analysis of thermoelectric module from macro to micro

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Cited by 19 publications
(6 citation statements)
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“…The estimations of the optimal L Ã and the peak cooling power density by Equations ( 21) and ( 22) are validated over a broad range of the heat transfer coefficients from 5 to 5000 W m À2 K À1 , which is able to cover various scenarios, including natural air convection, forced convection, and even liquid-vapor phase change heat transfer. As indicated in Figure 5A,B, the optimal L Ã is in general evaluated within ±15%, while the peak cooling power density calculated by substituting Equation (22) into Equation (21) shows negligible error all over the whole heat transfer and temperature difference range. The fact that a rough estimation of the optimal L Ã still leads to an excellent estimation of the peak cooling power density is illustrated in detail in SI (Dependence of cooling power density on L*).…”
Section: Maximization Of Cooling Power Under Given H H H C and δTmentioning
confidence: 77%
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“…The estimations of the optimal L Ã and the peak cooling power density by Equations ( 21) and ( 22) are validated over a broad range of the heat transfer coefficients from 5 to 5000 W m À2 K À1 , which is able to cover various scenarios, including natural air convection, forced convection, and even liquid-vapor phase change heat transfer. As indicated in Figure 5A,B, the optimal L Ã is in general evaluated within ±15%, while the peak cooling power density calculated by substituting Equation (22) into Equation (21) shows negligible error all over the whole heat transfer and temperature difference range. The fact that a rough estimation of the optimal L Ã still leads to an excellent estimation of the peak cooling power density is illustrated in detail in SI (Dependence of cooling power density on L*).…”
Section: Maximization Of Cooling Power Under Given H H H C and δTmentioning
confidence: 77%
“…First, a heat balance analysis is performed at the thermal interfaces, to derive primary expressions for the cooling power and input electric power. Then a numerical scanning approach is used to seek the maximum cooling power, [17][18][19][20] temperature difference, 21,22 or COP with respect to the electric current. Only a few analytical formulations on the key performance indices are deduced under very limited conditions [23][24][25][26] due to the high complexity.…”
Section: Introductionmentioning
confidence: 99%
“…With the advent of increasingly outstanding nanostructured thermoelectric materials (TEMs), thin-film thermoelectric coolers (TECs) have drawn increasing attention due to their high cooling flux, fast response time, and small size on the scale of a microchip. 1 However, such high figure of merit material has not yet been engineered for commercial application, and few important improvements in performance of thin-film TECs have been reported in the laboratory as numerous materials because the electrical contact resistance R c at the metal−semiconductor (M−S) interface causes a large increase in the electrical resistance of thin-film TECs (i.e., 230 Ω) 2 that is primarily responsible for diminishing performance. Equation where H is the height of the TE leg, σ is the TE film electrical conductivity, (ZT) m is the figure of merit of the TEM, and (ZT) d is the figure of merit of the TEC.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, researchers have focused in optimizing the performance of device, like Thomson-effect [6,7], contact resistance [8][9][10], heat exchanger [11,12], leg numbers [13] and geometry [14,15]. Those most favorable design techniques [16][17][18][19] have technically grown with full-fledge. The assemblage of TE devices requires stacking of several layers The most critical malfunction mechanism for TE devices for prolonged procedure [20][21][22] is the higher thermomechanical stress at the boundary.…”
Section: Introductionmentioning
confidence: 99%