Theoretical investigation of parallel 63NiO/GaP heterojunction nuclear battery with graphene layer and its time-related performance

Betavoltaic (BV) batteries are regarded as appealing power sources due to their high energy densities and long lifetimes. However, the low efficiency and maximum output power density of conventional BV batteries due to the self-absorption effect of radioactive sources, which consist of separate beta-radioactive sources and semiconductor absorbers, limit their applications. In this work, we optimized and compared six <sup>63</sup>NiO-related heterojunction nuclear batteries utilizing Monte Carlo software Geant4 and finite element analysis software COMSOL Multiphysics. The <sup>63</sup>NiO-related heterojunction nuclear batteries integrate beta-radioactive sources and semiconductor absorbers to overcome the shortcomings of conventional BV batteries. Furthermore, we proposed a parallel connection structure utilizing graphene electrode layer to connect two <sup>63</sup>NiO/GaP heterojunctions based on the optimal one from the six heterojunctions in order to maximize the maximum output power density. The total energy conversion efficiency is 2.68% and the maximum output power density is [Formula: see text] of the parallel connection nuclear battery. Finally, we investigated the time-related performance of the parallel connection structure nuclear battery within 200 years. It shows that the maximum output power density decreases from [Formula: see text] in the beginning to [Formula: see text] at 200 years.

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Publication Details

Journal
Scientific Reports
Published
2025-03-04
DOI
https://doi.org/10.1038/s41598-025-91929-6
Citations
4
Primary Topic
Advanced Energy Technologies and Civil Engineering Innovations
Type
article
Field-Weighted Citation Impact
15.35

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article

Theoretical investigation of parallel 63NiO/GaP heterojunction nuclear battery with graphene layer and its time-related performance

Haoran Gu, Chunmiao Han, Yang Zhao, Jingbin Lu et al.
4 citations
Scientific Reports
Advanced Energy Technologies and Civil Engineering Innovations
15.35
article

Theoretical investigation of parallel 63NiO/GaP heterojunction nuclear battery with graphene layer and its time-related performance

Haoran Gu, Chunmiao Han, Yang Zhao, Jingbin Lu, Hongyi Tian, Xinxu Yuan, Qiming Cui, Lei Liang, Wei Chen, Ke Zhang, Yù Zhang, Xiaoyi Li, Xinrui Liu, Haolin Li, Renzhou Zheng, Yugang Zeng
article en
4 citations

Abstract

Betavoltaic (BV) batteries are regarded as appealing power sources due to their high energy densities and long lifetimes. However, the low efficiency and maximum output power density of conventional BV batteries due to the self-absorption effect of radioactive sources, which consist of separate beta-radioactive sources and semiconductor absorbers, limit their applications. In this work, we optimized and compared six <sup>63</sup>NiO-related heterojunction nuclear batteries utilizing Monte Carlo software Geant4 and finite element analysis software COMSOL Multiphysics. The <sup>63</sup>NiO-related heterojunction nuclear batteries integrate beta-radioactive sources and semiconductor absorbers to overcome the shortcomings of conventional BV batteries. Furthermore, we proposed a parallel connection structure utilizing graphene electrode layer to connect two <sup>63</sup>NiO/GaP heterojunctions based on the optimal one from the six heterojunctions in order to maximize the maximum output power density. The total energy conversion efficiency is 2.68% and the maximum output power density is [Formula: see text] of the parallel connection nuclear battery. Finally, we investigated the time-related performance of the parallel connection structure nuclear battery within 200 years. It shows that the maximum output power density decreases from [Formula: see text] in the beginning to [Formula: see text] at 200 years.

Scientific ReportsVol. 15(1)
Changchun University of Science and Technology (CN), Jilin University (CN), Chinese Academy of Sciences (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN), Peng Cheng Laboratory (CN), Xi'an Institute of Optics and Precision Mechanics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 2%
Advanced Energy Technologies and Civil Engineering Innovations
15.35
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