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Building Simulation

, Volume 12, Issue 1, pp 41–49 | Cite as

Design and optical characterisation of an efficient light trapping structure for dye-sensitized solar cell integrated windows

  • Andrew Knott
  • Xiao Liu
  • Oleg Makarovskiy
  • James O’Shea
  • Chris Tuck
  • Yupeng WuEmail author
Open Access
Research Article Building Thermal, Lighting, and Acoustics Modeling
  • 66 Downloads

Abstract

Windows integrated with semi-transparent photovoltaics (PVs) such as Dye-Sensitized Solar Cells (DSSCs) show good potential in improving building performance, in terms of providing daylight, reducing unnecessary solar heat gain and also generating electricity onsite. However, low cell efficiency remains an obstacle for their applications in windows. Using light trapping structures in DSSCs shows the potential to improve solar to electrical conversion efficiency. In this work, different pyramid-patterned titanium dioxide (TiO2) geometries are designed to enhance the photon absorption in DSSCs, and characterised using a Monte-Carlo algorithm based 3D ray-tracing simulation. Various studies were carried out under average irradiation, spectrum dependent irradiation and different solar incidental angles, respectively. The simulation results at the average irradiation wavelength (540 nm) were compared to those from a previous study using Scanning Photocurrent Microscopy (SPCM) and a reasonable agreement has been achieved. It was found that the structure based on the pyramid array of side wall angle 54.7° can significantly enhance light absorption by up to ~25% and the maximum achievable photocurrent density (MAPD) by up to ~45% across the spectrum of 380–800 nm, when compared to a planar control counterpart.

Keywords

light trapping ray-tracing pyramid pattern MAPD wavelength 

Notes

Acknowledgements

This work was supported by the School of Physics and Astronomy and Faculty of Engineering, University of Nottingham through a joint PhD studentship awarded to Andrew Knott.

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Copyright information

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Andrew Knott
    • 1
    • 2
  • Xiao Liu
    • 2
  • Oleg Makarovskiy
    • 1
  • James O’Shea
    • 1
  • Chris Tuck
    • 2
  • Yupeng Wu
    • 2
    Email author
  1. 1.School of Physics and AstronomyThe University of NottinghamLodonUK
  2. 2.Faculty of EngineeringThe University of NottinghamLodonUK

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