Numerical Analysis and Optimization of CH3NH3PbI3-xCIx Based Perovskite Solar Cells

Yıl 2021, , 28 - 39, 31.01.2021

Musa Çadırcı , Veli Oğuz Serhat Ertan

https://doi.org/10.29130/dubited.831732

Cited By: 2

Öz

Due to unique properties of perovskite materials, the solar cells technologies based on those materials rapidly advance to the maximum theoretical conversion efficiency of about 32 %. This study reports the simulation results of CH3NH3PbI3-xCIx based perovskite solar cells using SCAPS-1D software. ZnO is used as common electron transfer medium (ETM), whereas Cu2O, CuI and CuO materials are separately used for hole transfer medium (HTM) each time. The cell basic parameters (Voc, Jsc, FF and efficiency) are simulated at various conditions. CuO is found to be the best HTM material, whereas the maximum efficiency of ̴26.8 % is obtained at 0.55 µm thickness of CH3NH3PbI3-xCIx material with a donor atom density of about 1017 cm-3.

Anahtar Kelimeler

Perovstkite Solar Cells, Optimization, SCAPS

Teşekkür

The authors are thankful to Prof. Marc Burgelman at the University of Gent for providing SCAPS-1D software.

CH3NH3PbI3-xCIx Bazlı Perovskite Güneş Hücrelerinin Sayısal Analizi ve Optimizasyonu

Öz

Perovskite malzemelerinin benzersiz özelliklerinden dolayı, söz konusu malzemelerden üretilen güneş pili teknolojilerinin verimliliği, maksimum teorik noktası olan % 32’ye doğru hızla ilerlerlemektedir. Bu çalışmada, SCAPS-1D yazılımını kullanılarak CH3NH3PbI3-xCIx bazlı perovskite güneş pilli tasarlanıp, parametreleri simüle edildi. ZnO, ortak elektron transfer katmanı (ETM) olarak kullanılırken, hol transfer katmanı (HTM) için Cu2O, CuI ve CuO malzemeleri her seferinde ayrı ayrı kullanıldı. Hücre temel parametreleri (Voc, Jsc, FF ve verimlilik) farklı koşullarda simüle edildi. CuO en iyi HTM malzemesi olarak gözlemlenirken, yaklaşık 1017 cm-3 verici atom yoğunluğunda ve 0.55 µm kalınlığındaki CH3NH3PbI3-xCIx materyalinde maksimum % 26.8 verimlilik elde edildi.

Anahtar Kelimeler

Perovstkite Güneş Pilleri, Optimizasyon, SCAPS

Kaynakça

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