Analytic modelling of multi-junction solar cells via multi-diodes


Schuster C. S. , Koc M., YERCİ S.

RENEWABLE ENERGY, vol.184, pp.1033-1042, 2022 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 184
  • Publication Date: 2022
  • Doi Number: 10.1016/j.renene.2021.11.018
  • Journal Name: RENEWABLE ENERGY
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Compendex, Environment Index, Geobase, Greenfile, Index Islamicus, INSPEC, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Page Numbers: pp.1033-1042
  • Keywords: Photovoltaics, Circuit model, Photovoltaic modelling, Silicon solar cell, Multi-junction solar cells, Ef ficiency limits, OPTICAL-SIMULATION, HIGH-EFFICIENCY, SILICON, PEROVSKITE

Abstract

Laboratory efficiencies and estimated costs alone cannot assess the extent to which photovoltaics (PV) is expanding. For outdoor operation, PV technologies also need realistic yet effective methods of yield evaluation. Here, we propose an analytical approach for calculating the power output of series, parallel, and independently connected multi-junction solar cells. It uses a fast search algorithm for the maximum power point suitable for data-driven tasks. Our approach enables us to model the sub-cells of a GaInP/ GaAs/Si device, analyze its harvesting efficiency under bandgap variations, and compare tandem cell performances under different climatic conditions. Using historical, reconstructed solar spectra from 2004 to 2018 at 60 s intervals, we show the optimum tandem cell to be independent of the end user's location. We also show that independently connected junctions allow maximum flexibility in combining different materials. As such, they offer the greatest prospect of achieving harvesting efficiencies of over 40%. This study paves the way for a simpler and faster assessment of multi-junction solar cells and their performance potentials.(c) 2021 Elsevier Ltd. All rights reserved.