Computational optimization and optical analysis of thin-film organic solar cells for high efficiency

被引:6
作者
Farooq, Waqas [1 ]
Alzahrani, Abdullah [2 ]
Ghoneim, Sherif S. M. [2 ]
机构
[1] Sarhad Univ Sci & Informat Technol, Dept Elect Engn, Peshawar 25000, Pakistan
[2] Taif Univ, Coll Engn, Dept Elect Engn, POB 11099, Taif 21944, Saudi Arabia
关键词
Thin film; Solar cells; Thickness; Optimization; Optical;
D O I
10.1007/s10825-023-02019-7
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper reports the computational investigation of two thin-film organic solar cell (TFOSC) structures which are based on two different species, i.e., fullerene-based material (PTB7:PCBM) and non-fullerene-based material (PIF8BT:PDI). Computational investigations are performed on the optimization of thickness for the active absorber layers because the major portion of the sunlight is absorbed in this area. The electrical parameters include the open-circuit voltage (V-oc), short-circuit current density (J(sc)), fill factor (FF), and power conversion efficiency (eta). The extracted modeling results indicate that 200 nm is sufficient to cover the visible spectrum range of photons within the investigation range of 150-400 nm. Moreover, the present study also highlights the optical analysis of the architecture, which shows the absorption of photons in the active region with various thicknesses. After the comparative analysis of the two structures, the results suggest that the structure based on fullerene is 0.97% more efficient than the non-fullerene-based structure. The highest conversion efficiency achieved with the fullerene-based scheme (FTO/PEDOT:PSS/PTB7:PCBM/PFN/Ag) was 4.79%, whereas the highest efficiency rate delivered by the non-fullerene scheme (FTO/PEDOT:PSS/PIF8BT:PDI/PFN/Ag) was 3.82%. The recorded results are in good agreement with the theoretical models and standard action.
引用
收藏
页码:867 / 873
页数:7
相关论文
共 31 条
  • [1] Investigation of the Impact of Active Layer and Charge Transfer Layer Materials on the Performance of Polymer Solar Cells through Simulation
    Aga, Fekadu Gochole
    Bakare, Fetene Fufa
    Dibaba, Solomon Tiruneh
    Gelmecha, Demissie Jobir
    Amente, Chernet
    [J]. ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2022, 2022
  • [2] Colloidal quantum dot solar cells
    Emin, Saim
    Singh, Surya P.
    Han, Liyuan
    Satoh, Norifusa
    Islam, Ashraful
    [J]. SOLAR ENERGY, 2011, 85 (06) : 1264 - 1282
  • [3] Materials Optimization for thin-film copper indium gallium selenide (CIGS) solar cell based on distributed braggs reflector
    Farooq, Waqas
    Alshahrani, Thamraa
    Kazmi, Syed Asfandyar Ali
    Iqbal, Javed
    Khan, Hassnain Abbas
    Khan, Mahmood
    Raja, Arsalan Ahmad
    Rehman, Atteq ur
    [J]. OPTIK, 2021, 227
  • [4] Thin-Film Tandem Organic Solar Cells With Improved Efficiency
    Farooq, Waqas
    Khan, Aimal Daud
    Khan, Adnan Daud
    Rauf, Abdul
    Khan, Sultan Daud
    Ali, Haider
    Iqbal, Javed
    Khan, Rehan Ullah
    Noman, Muhammad
    [J]. IEEE ACCESS, 2020, 8 (74093-74100) : 74093 - 74100
  • [5] Thermal stability of low-bandgap copolymers PTB7 and PTB7-Th and their bulk heterojunction composites
    Fernandes, Liliana
    Gaspar, Hugo
    Tome, Joao P. C.
    Figueira, Flavio
    Bernardo, Gabriel
    [J]. POLYMER BULLETIN, 2018, 75 (02) : 515 - 532
  • [6] Electron Collection as a Limit to Polymer:PCBM Solar Cell Efficiency: Effect of Blend Microstructure on Carrier Mobility and Device Performance in PTB7:PCBM
    Foster, Samuel
    Deledalle, Florent
    Mitani, Akiko
    Kimura, Toshio
    Kim, Ki-Beom
    Okachi, Takayuki
    Kirchartz, Thomas
    Oguma, Jun
    Miyake, Kunihito
    Durrant, James R.
    Doi, Shuji
    Nelson, Jenny
    [J]. ADVANCED ENERGY MATERIALS, 2014, 4 (14)
  • [7] Hidayat AT., 2022, INDONES PHYS REV, V5, P116, DOI [10.29303/ipr.v5i2.149, DOI 10.29303/IPR.V5I2.149]
  • [8] Depletion of fossil fuels and the impacts of global warming
    Hoel, M
    Kverndokk, S
    [J]. RESOURCE AND ENERGY ECONOMICS, 1996, 18 (02) : 115 - 136
  • [9] Jahangir K., 2021, ICRRD QUAL INDEX RES, V2, P131, DOI [10.53272/icrrd.v2i3.4, DOI 10.53272/ICRRD.V2I3.4]
  • [10] Machine-Learning Analysis of Small-Molecule Donors for Fullerene Based Organic Solar Cells
    Janjua, Muhammad Ramzan Saeed Ashraf
    Irfan, Ahmad
    Hussien, Mohamed
    Ali, Muhammad
    Saqib, Muhammad
    Sulaman, Muhammad
    [J]. ENERGY TECHNOLOGY, 2022, 10 (05)