Optimization of spectrally selective Si/SiO2 based filters for thermophotovoltaic devices

Name: Optimization of spectrally selective Si/SiO2 based filters for thermophotovoltaic devices
Author: Khosroshahi, F. K., Ertürk, H., Mengüç, Mustafa Pınar

İsim	Optimization of spectrally selective Si/SiO2 based filters for thermophotovoltaic devices
Yazar	Khosroshahi, F. K., Ertürk, H., Mengüç, Mustafa Pınar
Basım Tarihi:	2017-08
Basım Yeri	- Elsevier
Konu	Thermophotovoltaic, Spectrally selective, Optical tuning, Filters, Si/SiO2, Genetic algorithm
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0022-4073
Kayıt Numarası	19a24b3b-839a-4398-8ca6-0fd91f0d2bc0
Lokasyon	Mechanical Engineering
Tarih	2017-08
Notlar	TÜBİTAK
Örnek Metin	Design of a spectrally selective filter based on one-dimensional Si/SiO2 layers is considered for improved performance of thermo-photovoltaic devices. Spectrally selective filters transmit only the convertible radiation from the emitter as non-convertible radiation leads to a reduction in cell efficiency due to heating. The presented Si/SiO2 based filter concept reflects the major part of the undesired range back to the emitter to minimize energy required for the process and it is adaptable to different types of cells and emitters with different temperatures since its cut-off wavelength can be tuned. While this study mainly focuses on InGaSb based thermo-photovoltaic cell, Si, GaSb, and Ga0.78In0.22As0.19Sb0.81 based cells are also examined. Transmittance of the structure is predicted by rigorous coupled wave approach. Genetic algorithm, which is a global optimization method, is used to find the best possible filter structure by considering the overall efficiency as an objective function that is maximized. The simulations show that significant enhancement in the overall system and device efficiency is possible by using such filters with TPV devices. The methodology described in this paper allows for an improved filter design procedure for selected applications.
DOI	10.1016/j.jqsrt.2017.01.030
Cilt	197

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Optimization of spectrally selective Si/SiO2 based filters for thermophotovoltaic devices

Yazar Khosroshahi, F. K., Ertürk, H., Mengüç, Mustafa Pınar

Basım Tarihi 2017-08

Basım Yeri - Elsevier

Konu Thermophotovoltaic, Spectrally selective, Optical tuning, Filters, Si/SiO2, Genetic algorithm

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0022-4073

Kayıt Numarası 19a24b3b-839a-4398-8ca6-0fd91f0d2bc0

Lokasyon Mechanical Engineering

Tarih 2017-08

Notlar TÜBİTAK

Örnek Metin Design of a spectrally selective filter based on one-dimensional Si/SiO2 layers is considered for improved performance of thermo-photovoltaic devices. Spectrally selective filters transmit only the convertible radiation from the emitter as non-convertible radiation leads to a reduction in cell efficiency due to heating. The presented Si/SiO2 based filter concept reflects the major part of the undesired range back to the emitter to minimize energy required for the process and it is adaptable to different types of cells and emitters with different temperatures since its cut-off wavelength can be tuned. While this study mainly focuses on InGaSb based thermo-photovoltaic cell, Si, GaSb, and Ga0.78In0.22As0.19Sb0.81 based cells are also examined. Transmittance of the structure is predicted by rigorous coupled wave approach. Genetic algorithm, which is a global optimization method, is used to find the best possible filter structure by considering the overall efficiency as an objective function that is maximized. The simulations show that significant enhancement in the overall system and device efficiency is possible by using such filters with TPV devices. The methodology described in this paper allows for an improved filter design procedure for selected applications.

DOI 10.1016/j.jqsrt.2017.01.030

Cilt 197