47
Views
0
CrossRef citations to date
0
Altmetric
Articles

Dependence of electrical and structural properties on the thickness of n-type μc-Si thin-film silicon solar cells grown by linear facing target sputtering

&
Pages 211-218 | Received 22 Feb 2013, Accepted 17 Apr 2013, Published online: 01 Sep 2013
 

Abstract

In this work, the construction of an (Al+Ag)/n+-Si/p-Si/Al thin-film silicon (TF-Si) solar cell is presented. The maximum achievable current density generated by a planar solar cell, with an optimum antireflection coating, for different values of the cell thickness are analysed. Both electrical and optical properties of (Al+Ag)/n+-Si/p-Si/Al TF-Si solar cell have been studied, which assumes the generation of one electron–hole pair per photon and a collection efficiency of unity. A reduction in thickness can lead to an increase in VOC, it can have the opposite effect if surface recombination is not reduced simultaneously. Thin-film solar cell has an absorbed photon flux density about three times higher at each interface, implying that carrier generation at the interfaces of the thinner cell is about three times higher. Finally, for larger grain size, the recombination at the grain boundaries (GBs) of Si will mainly degrade VOC, and not JSC. From the obtained results, it is evident that the larger the grain size, the better the performance of the device. However, the interface recombination has a strong influence on each parameter.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 275.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.