Untitled

Novikov, A. I.

doi:10.1023/a:1016667129697

Cited by 5 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Telkes 6 gave a brief summary of the work in STEGs before 1954, and reported STEGs constructed of ZnSb and Bi-Sb alloys. Novikov 13 gave an analysis on STEGs including 4th power law of thermal radiation, but only numerical results were presented. Under 50 times optical concentration, the efficiency reached 3.35%.…”

mentioning

confidence: 99%

Theoretical efficiency of solar thermoelectric energy generators

Chen

2011

Journal of Applied Physics

118

View full text Add to dashboard Cite

show abstract

mentioning

confidence: 99%

Theoretical efficiency of solar thermoelectric energy generators

Chen

2011

Journal of Applied Physics

118

View full text Add to dashboard Cite

show abstract

“…10 Simultaneously, the other (cold) side is cooled by means of convective heat transfer techniques. As an example, a parabolic trough-type SCTEG is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Critical Concentration Ratio for Solar Thermoelectric Generators

Rehman

Siddiqui

2016

Journal of Elec Materi

View full text Add to dashboard Cite

A correlation for determining the critical concentration ratio (CCR) of solar concentrated thermoelectric generators (SCTEGs) has been established, and the significance of the contributing parameters is discussed in detail. For any SCTEG, higher concentration ratio leads to higher temperatures at the hot side of modules. However, the maximum value of this temperature for safe operation is limited by the material properties of the modules and should be considered as an important design constraint. Taking into account this limitation, the CCR can be defined as the maximum concentration ratio usable for a particular SCTEG. The established correlation is based on factors associated with the material and geometric properties of modules, thermal characteristics of the receiver, installation site attributes, and thermal and electrical operating conditions. To reduce the number of terms in the correlation, these factors are combined to form dimensionless groups by applying the Buckingham Pi theorem. A correlation model containing these groups is proposed and fit to a dataset obtained by simulating a thermodynamic (physical) model over sampled values acquired by applying the Latin hypercube sampling (LHS) technique over a realistic distribution of factors. The coefficient of determination and relative error are found to be 97% and ±20%, respectively. The correlation is validated by comparing the predicted results with literature values. In addition, the significance and effects of the Pi groups on the CCR are evaluated and thoroughly discussed. This study will lead to a wide range of opportunities regarding design and optimization of SCTEGs.

show abstract