Comprehensive energy balance analysis of photon-enhanced thermionic power generation considering concentrated solar absorption distribution

被引:13
作者
Elahi, A. N. M. Taufiq [1 ]
Jensen, Devon [2 ]
Ghashami, Mohammad [3 ]
Park, Keunhan [1 ]
机构
[1] Univ Utah, Dept Mech Engn, Salt Lake City, UT 84112 USA
[2] Adv Cooling Technol Inc, Lancaster, PA 17601 USA
[3] Univ Nebraska, Dept Mech & Mat Engn, Lincoln, NE 68588 USA
基金
美国国家科学基金会;
关键词
Photon-enhanced thermionic emission (PETE); Concentrated solar power (CSP); Thermionic energy conversion (TEC); Energy balance analysis; TEMPERATURE-DEPENDENCE; PARAMETRIC DESIGN; SPACE-CHARGE; EMISSION; PERFORMANCE; EFFICIENCY; CONVERSION; SILICON; GAAS; ADSORPTION;
D O I
10.1016/j.solmat.2021.111067
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The present article reports a comprehensive energy balance analysis of a photon-enhanced thermionic emission (PETE) device when it is used for concentrated solar power (CSP) generation. To this end, we consider a realistic PETE device composed of a boron-doped silicon emitter on glass and a phosphorus-doped diamond collector on tungsten separated by the interelectrode vacuum gap. Depth-dependent spectral solar absorption and its photovoltaic and photothermal energy conversion processes are rigorously calculated to predict the PETE power output and energy conversion efficiency. Our calculation predicts that when optimized, the power output of the considered PETE device can reach 1.6 W/cm2 with the energy conversion efficiency of ? 18% for 100? solar concentration, which is substantially lower than those predicted in previous works under ideal conditions. In addition, the photon-enhancement ratio is lower than 10 and decreases with the increasing solar concentration due to the photothermal heating of the emitter assembly, suggesting that PETE should be more suitable for lowto-medium CSP below ? 100? concentration. These observations signify the importance of a rigorous energy balance analysis based on spectral and spatial solar absorption distribution for the accurate prediction of PETE power generation.
引用
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页数:9
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