Thermodynamic limit and optimal performance prediction of thermophotovoltaic energy conversion devices

Liao Tian-Jun; Lü Yi-Xiang

doi:10.7498/aps.69.20191835

Abstract

The application of thermophotovoltaic energy conversion device to recovery and utilization of high-grade thermal energy are limited by its irreversible loss. In this work, we reveal the source of irreversible loss and provide a strategy for improving the performance of thermophotovoltaic energy conversion device. The maximum efficiency of thermophotovoltaic energy conversion device under ideal condition is determined by using the theory of semiconductor physics and Planck thermal radiation. Moreover, the effects of non-radiative recombination and irreversible heat transfer loss on the electrical, optical, and thermal characteristics of thermophotovoltaic device are considered to predict the optimal performance of thermophotovoltaic device. The optimal region of power density, efficiency, and photon cut-off energy are determined. The obtained results show that the open-circuit voltage, short-circuit current density and efficiency of non-ideal device are lower than those of ideal device. The voltage output and photon cut-off energy of thermophotovoltaic device and heat source temperature can be optimized to improve the power density and efficiency of the device. It is found that the theoretical results are in good agreement with the experimental results, which can provide some guidances fordeveloping the practical thermophotovoltaic devices.

Keywords:

Authors and contacts

Department of Physics and Energy, Chongqing University of Technology, Chongqing 400054, China

Corresponding author: Liao Tian-Jun, liaotianjunxmu@hotmail.com

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References

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Cited By

图 1 TPV器件的示意图

Figure 1. Schematic diagram of a TPV device.

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图 2 效率η随输出电压V变化曲线

Figure 2. The curves of the efficiency η varying with the voltage V for given three values ${T_{\rm{E}}}$.

DownLoad: Full-Size Img PowerPoint

图 3 非理想和理想光伏电池特性随${T_{\rm{E}}}$变化的关系曲线 (a)开路电压; (b)短路电流密度

Figure 3. The curves of non-ideal and ideal photovoltaic cells varying with ${T_{\rm{E}}}$: (a) open-circuit voltages; (b) short-circuit current densities.

DownLoad: Full-Size Img PowerPoint

图 4 (a)功率密度和(b)效率随${T_{\rm{E}}}$和V变化三维曲面图

Figure 4. (a) The 3D graphs of power density and (b) efficiency as a function of ${T_{\rm{E}}}$ and V.

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图 5 优化功率密度${P_{{\rm{opt}}}}$和效率${\eta _{{\rm{opt}}}}$随光子截止能量${\varepsilon _{\rm{H}}}$变化的关系曲线图, 其中${T_{\rm{E}}} = 1500\, {\rm{K}}$

Figure 5. Optimal power density ${P_{{\rm{opt}}}}$ and efficiency ${\eta _{{\rm{opt}}}}$ as a function of photons’ cut-off energy ${\varepsilon _{\rm{H}}}$, where ${T_{\rm{E}}} = 1500\, {\rm{K}}.$

DownLoad: Full-Size Img PowerPoint

[1]	于海童, 刘东, 杨震, 段远源 2018 物理学报 67 024209 Google Scholar Yu H T, Liu D, Yang Z, Duan Y Y 2018 Acta Phys. Sin. 67 024209 Google Scholar
[2]	吴限量, 张德贤, 蔡宏琨, 周严, 倪牮, 张建军 2015 物理学报 64 096102 Google Scholar Wu X L, Zhang D X Cai H K, Zhou Y, Ni J, Zhang J J 2015 Acta Phys. Sin. 64 096102 Google Scholar
[3]	Datas A, Martí A 2017 Sol. Energy Mater. Sol. Cells 161 285 Google Scholar
[4]	Corey M., Massoud K 2019 Appl. Phys. Rev. 6 021305 Google Scholar
[5]	Wang Y, Liu H, Zhu J 2019 APL Mater. 7 080906 Google Scholar
[6]	Lenert A, Bierman D M, Nam Y, Chan W R, Celanović I, Soljačić M, et al. 2014 Nat. Nanotechnol. 9 126 Google Scholar
[7]	Datas A 2015 Sol. Energy Mater. Sol. Cells 134 275 Google Scholar
[8]	Tedah I A O, Maculewicz F, Wolf D E, Schmechel R 2019 J. Phys. D: Appl. Phys. 52 275501 Google Scholar
[9]	Hong Y, Otten M, Min M, Stephen K G, David P N 2019 Appl. Phys. Lett. 114 053901 Google Scholar
[10]	Burger T, Fan D, Lee K, Lenert A 2018 ACS Photonics 5 2748 Google Scholar
[11]	Song J, Lim M, Lee S S, Lee B J 2019 Phys. Rev. Appl. 11 044040 Google Scholar
[12]	Wang R Q, Lu J C, Jiang J H 2019 Phys. Rev. Applied 12 044038 Google Scholar
[13]	Fiorino A, Zhu L, Thompson D, Mittapally R, Reddy P, Meyhofer E 2018 Nat. Nanotech. 13 806 Google Scholar
[14]	Liao T, Yang Z, Chen X, Chen J 2019 IEEE Transac. Electron Devices 66 1386 Google Scholar
[15]	Liao T, Zhang X, Chen X, Chen J 2019 J. Appl. Phys. 125 203103 Google Scholar
[16]	Liao T, Du J, Guo J, Chen X, Chen J 2019 J. Phys. D: Appl. Phys. 53 055503
[17]	Datas A, Vaillon R 2019 Appl. Phys. Lett. 114 133501 Google Scholar
[18]	Datas A, Vaillon R 2019 Nano Energy 61 10 Google Scholar
[19]	Chubb D L, Good B S 2018 Sol. Energy 159 760 Google Scholar
[20]	龙军华, 谭明, 季莲, 肖梦, 吴渊渊, 陆书龙, 代盼, 李雪飞, 金山, 邢志伟, 鲁姣, 杨文献 2018 中国科学: 物理学力学天文学 48 117301 Google Scholar Long J H, Tan M, Ji L, Xiao M, Wu Y Y, Lu S L, Dai P, Li X F, Jin S, Xing Z W, Lu J, Yang W X 2018 Sci. Sin.-Phys. Mech. Astron. 48 117301 Google Scholar
[21]	Liao T, Chen X, Yang Z, Lin B, Chen J 2016 Energy Conver. Manage. 126 205 Google Scholar
[22]	Chen K, Santhanam P, Sandhu S, Zhu L, Fan S 2015 Phys. Rev. B 91 134301 Google Scholar
[23]	Utlu Z 2019 Int. J. Low-Carbon Technologies https://doi.org/ 10.1093/ijlct/ctz049 [2019-12-1]

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Vol. 69, Issue 5 - 2020-03-05

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