Solar cell performance as a function of emitter layer thickness and temperature

Abstract This work investigates the temperature-dependent performance of three homojunction solar cells composed of silicon, gallium arsenide, and indium phosphide, using the open-source simulation software PC1D. Emitter layer thicknesses ranging from 0.01 to 1 $$\upmu$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>μ</mml:mi> </mml:math> m were modeled across a temperature range of 273–373 K. The key photovoltaic parameters—short-circuit current density ( $$J_{\textrm{sc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>J</mml:mi> <mml:mtext>sc</mml:mtext> </mml:msub> </mml:math> ), open-circuit voltage ( $$V_{\textrm{oc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>V</mml:mi> <mml:mtext>oc</mml:mtext> </mml:msub> </mml:math> ), and conversion efficiency ( $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> )—were extracted to assess their thermal sensitivity. The results show that $$J_{\textrm{sc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>J</mml:mi> <mml:mtext>sc</mml:mtext> </mml:msub> </mml:math> remains largely invariant with temperature, while $$V_{\textrm{oc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>V</mml:mi> <mml:mtext>oc</mml:mtext> </mml:msub> </mml:math> declines approximately linearly, driving the observed reduction in efficiency, $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> . Silicon exhibited the steepest thermal degradation, with $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> decreasing from 21.8 to 13.5%. GaAs and InP demonstrated greater thermal stability, with $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> decreasing from 26.6 to 20.2% and 27.2 to 20.5%, respectively. Decreasing efficiencies were observed for all three cell configurations with increased emitter layer thickness. The greater temperature sensitivity of Si is attributed to stronger non-radiative recombination and phonon-assisted transitions characteristic of its indirect bandgap. Additional simulations on the impact of increasing surface recombination velocity and bulk carrier lifetime were carried out, indicating optimum performance at high lifetimes and low recombination velocities. These findings emphasize the advantages of direct bandgap materials for high-temperature photovoltaic applications and the efficacy of PC1D in explicating different material behaviors.

Authors

Institutions

Publication Details

Journal
The European Physical Journal Special Topics
Published
2025-12-05
DOI
https://doi.org/10.1140/epjs/s11734-025-02086-w
Primary Topic
Silicon and Solar Cell Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solar cell performance as a function of emitter layer thickness and temperature

Matias Daniel de Almeida, Nuggehalli M. Ravindra
The European Physical Journal Special Topics
Silicon and Solar Cell Technologies
article

Solar cell performance as a function of emitter layer thickness and temperature

Matias Daniel de Almeida, Nuggehalli M. Ravindra
article en

Abstract

Abstract This work investigates the temperature-dependent performance of three homojunction solar cells composed of silicon, gallium arsenide, and indium phosphide, using the open-source simulation software PC1D. Emitter layer thicknesses ranging from 0.01 to 1 $$\upmu$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>μ</mml:mi> </mml:math> m were modeled across a temperature range of 273–373 K. The key photovoltaic parameters—short-circuit current density ( $$J_{\textrm{sc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>J</mml:mi> <mml:mtext>sc</mml:mtext> </mml:msub> </mml:math> ), open-circuit voltage ( $$V_{\textrm{oc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>V</mml:mi> <mml:mtext>oc</mml:mtext> </mml:msub> </mml:math> ), and conversion efficiency ( $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> )—were extracted to assess their thermal sensitivity. The results show that $$J_{\textrm{sc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>J</mml:mi> <mml:mtext>sc</mml:mtext> </mml:msub> </mml:math> remains largely invariant with temperature, while $$V_{\textrm{oc}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>V</mml:mi> <mml:mtext>oc</mml:mtext> </mml:msub> </mml:math> declines approximately linearly, driving the observed reduction in efficiency, $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> . Silicon exhibited the steepest thermal degradation, with $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> decreasing from 21.8 to 13.5%. GaAs and InP demonstrated greater thermal stability, with $$\eta$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>η</mml:mi> </mml:math> decreasing from 26.6 to 20.2% and 27.2 to 20.5%, respectively. Decreasing efficiencies were observed for all three cell configurations with increased emitter layer thickness. The greater temperature sensitivity of Si is attributed to stronger non-radiative recombination and phonon-assisted transitions characteristic of its indirect bandgap. Additional simulations on the impact of increasing surface recombination velocity and bulk carrier lifetime were carried out, indicating optimum performance at high lifetimes and low recombination velocities. These findings emphasize the advantages of direct bandgap materials for high-temperature photovoltaic applications and the efficacy of PC1D in explicating different material behaviors.

The European Physical Journal Special Topics
New Jersey Institute of Technology (US)
Openalex Percentile: Top 61%
Silicon and Solar Cell Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.