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author:

Wei, F. (Wei, F..) [1] | Yao, L. (Yao, L..) [2] | Lan, F. (Lan, F..) [3] | Li, G. (Li, G..) [4] | Liu, L. (Liu, L..) [5]

Indexed by:

Scopus

Abstract:

In this paper, polymer solar cells with a tandem structure were investigated and optimized using a multiscale simulation scheme. In the proposed multiscale simulation, multiple aspects - optical calculation, mesoscale simulation, device scale simulation and optimal power conversion efficiency searching modules - were studied together to give an optimal result. Through the simulation work, dependencies of device performance on the tandem structures were clarified by tuning the thickness, donor/acceptor weight ratio as well as the donor-acceptor distribution in both active layers of the two sub-cells. Finally, employing searching algorithms, we optimized the power conversion efficiency of the tandem polymer solar cells and located the optimal device structure parameters. With the proposed multiscale simulation strategy, poly(3-hexylthiophene)/phenyl-C61-butyric acid methyl ester and (poly[2,6- (4,4-bis-(2-ethylhexyl)-4H-cyclopenta[2,1-b;3,4-b]dithiophene)-alt-4,7-(2,1,3-benzothiadiazole)])/phenyl-C61-butyric acid methyl ester based tandem solar cells were simulated and optimized as an example. Two configurations with different sub-cell sequences in the tandem photovoltaic device were tested and compared. The comparison of the simulation results between the two configurations demonstrated that the balance between the two sub-cells is of critical importance for tandem organic photovoltaics to achieve high performance. Consistency between the optimization results and the reported experimental results proved the effectiveness of the proposed simulation scheme. © 2017 Wei et al.

Keyword:

Genetic algorithm; Monte Carlo simulation; Simplex searching; Tandem polymer solar cells

Community:

  • [ 1 ] [Wei, F.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Yao, L.]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Lan, F.]Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States
  • [ 4 ] [Li, G.]Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States
  • [ 5 ] [Liu, L.]State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
  • [ 6 ] [Liu, L.]University of Chinese Academy of Sciences, Beijing, China

Reprint 's Address:

  • [Li, G.]Department of Electrical and Computer Engineering, University of PittsburghUnited States

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Source :

Beilstein Journal of Nanotechnology

ISSN: 2190-4286

Year: 2017

Issue: 1

Volume: 8

Page: 123-133

2 . 9 6 8

JCR@2017

2 . 6 0 0

JCR@2023

ESI HC Threshold:306

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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