Conductance is responsible for the power conversion efficiency of solar cell

Yang Lan and Liu Changshi

Energy, 2023, vol. 278, issue PB

Abstract: Many attempts were made in solar energy to find advanced solar energy technology for solar cell which is with high power conversion efficiency; calculation output current by output voltage using a model of solar cells is very useful for this major aim. Although there are many models can be used to estimate current via voltage from solar cells, no one parameter in the models is a correlation to power conversion efficiency. One simplification of single diode model is proposed in this paper. Not only this model is in form of explicit function, but also one parameter as parallel conductance is correlation to power conversion efficiency. The accuracy of the proposed model is evaluated using thirty experimental data. It was found that in all experimental cases, very good match between measured and calculated is reached. The first important result indicates that power conversion efficiency independent on solar cell connection in series due to parallel conductance independent on solar cell connection in series. The major contribution is that the mathematical relationship between power conversion efficiency and parallel conductance is found in this paper. It is envisaged that the proposed methodology can be a very good route for researchers to discover advanced solar cell.

Keywords: Solar cell; Model; Power conversion efficiency; Conductance (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223013701
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:278:y:2023:i:pb:s0360544223013701

DOI: 10.1016/j.energy.2023.127976

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().