Computational study of III-V direct-gap semiconductors for thermoradiative cell applications

Muhammad Yusrul Hanna, Muhammad Aziz Majidi, Ahmad R.T. Nugraha

Research output: Contribution to journalArticlepeer-review

Abstract

We investigate the performance of thermoradiative (TR) cells using the III-V group of semiconductors, which include GaAs, GaSb, InAs, and InP, with the aim of determining their efficiency and finding the best TR cell materials among the III-V group. The TR cells generate electricity from thermal radiation, and their efficiency is influenced by several factors such as the bandgap, temperature difference, and absorption spectrum. To create a realistic model, we incorporate sub-bandgap and heat losses in our calculations and utilize density-functional theory to determine the energy gap and optical properties of each material. Our findings suggest that the absorptivity of the material, especially when the sub-bandgap and heat losses are considered, can decrease the efficiency of TR cells. However, careful treatment of the absorptivity indicates that not all materials have the same trend of decrease in the TR cell efficiency when taking the loss mechanisms into account. We observe that GaSb exhibits the highest power density, while InP demonstrates the lowest one. Moreover, GaAs and InP exhibit relatively high efficiency without the sub-bandgap and heat losses, whereas InAs display lower efficiency without considering the losses, yet exhibit higher resistance to sub-bandgap and heat losses compared to the other materials, thus effectively becoming the best TR cell material in the III-V group of semiconductors.

Original languageEnglish
Article number315705
JournalNanotechnology
Volume34
Issue number31
DOIs
Publication statusPublished - 30 Jul 2023

Keywords

  • direct-gap semiconductors
  • energy conversion devices
  • thermoradiative cells

Fingerprint

Dive into the research topics of 'Computational study of III-V direct-gap semiconductors for thermoradiative cell applications'. Together they form a unique fingerprint.

Cite this