Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89604
Title: An analytic approach for optimal geometrical design of GaAs nanowires for maximal light harvesting in photovoltaic cells
Authors: Wu, Dan
Tang, Xiaohong
Wang, Kai
Li, Xianqiang
Keywords: Nanowires
Solar Energy and Photovoltaic Technology
Issue Date: 2017
Source: Wu, D., Tang, X., Wang, K., & Li, X. (2017). An Analytic Approach for Optimal Geometrical Design of GaAs Nanowires for Maximal Light Harvesting in Photovoltaic Cells. Scientific Reports, 7, 46504-.
Series/Report no.: Scientific Reports
Abstract: Semiconductor nanowires(NWs) with subwavelength scale diameters have demonstrated superior light trapping features, which unravel a new pathway for low cost and high efficiency future generation solar cells. Unlike other published work, a fully analytic design is for the first time proposed for optimal geometrical parameters of vertically-aligned GaAs NW arrays for maximal energy harvesting. Using photocurrent density as the light absorbing evaluation standard, 2 μm length NW arrays whose multiple diameters and periodicity are quantitatively identified achieving the maximal value of 29.88 mA/cm2 under solar illumination. It also turns out that our method has wide suitability for single, double and four different diameters of NW arrays for highest photon energy harvesting. To validate this analytical method, intensive numerical three-dimensional finite-difference time-domain simulations of the NWs’ light harvesting are also carried out. Compared with the simulation results, the predicted maximal photocurrent densities lie within 1.5% tolerance for all cases. Along with the high accuracy, through directly disclosing the exact geometrical dimensions of NW arrays, this method provides an effective and efficient route for high performance photovoltaic design.
URI: https://hdl.handle.net/10356/89604
http://hdl.handle.net/10220/44990
ISSN: 2045-2322
DOI: 10.1038/srep46504
Rights: © 2017 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Fulltext Permission: open
Fulltext Availability: With Fulltext
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