{"title":"Investigating the impact of parametric optimization on efficiency and radiation degradation performance of triple junction InGaP/InGaAs/Ge solar cells","authors":"Prashant Bhaskar, Bhanu Pratap Dhamaniya, Krishna Priya Ganesan","doi":"10.1007/s10825-025-02381-8","DOIUrl":null,"url":null,"abstract":"<div><p>This computational study presents a comprehensive optimization approach adapted to achieve an enhanced power conversion efficiency of an InGaP/InGaAs/Ge lattice-matched triple junction solar cell through Crosslight APSYS, a TCAD device simulation package. The study focuses on optimizing device parameters, i.e., layered materials and their thicknesses and doping concentrations to improve efficiency and analyze radiation-induced performance degradation. Prior to the parametric optimization, the cell’s design was benchmarked against a typical commercially available triple junction solar cell with an efficiency close to 31%. Considering lattice matching and layer-wise bandgap energies, thickness and doping concentrations were systematically varied to identify optimum values. Our study demonstrates a decent enhancement in the efficiency of the optimized cell, reaching a value as high as 35.10%. Upon introducing the cell under particle irradiations, by means of introducing charge carrier traps, the power conversion efficiency is observed to degrade to ca. 30% and 31% upon 1 MeV electron irradiation with a fluence of 10<sup>16</sup> cm<sup>−2</sup> and 10 MeV proton irradiation with a fluence of <span>\\(10^{13} {\\text{ cm}}^{ - 2}\\)</span>, respectively. Additionally, Shockley–Read–Hall trap assisted recombination is observed to be prominent in the n-InGaAs layer and is relatively negligible across the other two active layers of the cell. Consequently, radiative recombination is observed to be suppressed in the middle subcell with increased irradiation fluences, as the traps densities are increasingly introduced with the irradiation. Both the recombination rates remain relatively unaffected in the bottom subcell with increase in irradiation fluences. Pre-optimization efficiencies under similar irradiation were ca. 27% and 28%. Though degradation levels were similar, the optimized cell showed ca. 3% higher open-circuit voltage, ca. 4% higher short-circuit current and 10–11% better efficiency, demonstrating superior end-of-life performance for space applications.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"24 5","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-025-02381-8","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This computational study presents a comprehensive optimization approach adapted to achieve an enhanced power conversion efficiency of an InGaP/InGaAs/Ge lattice-matched triple junction solar cell through Crosslight APSYS, a TCAD device simulation package. The study focuses on optimizing device parameters, i.e., layered materials and their thicknesses and doping concentrations to improve efficiency and analyze radiation-induced performance degradation. Prior to the parametric optimization, the cell’s design was benchmarked against a typical commercially available triple junction solar cell with an efficiency close to 31%. Considering lattice matching and layer-wise bandgap energies, thickness and doping concentrations were systematically varied to identify optimum values. Our study demonstrates a decent enhancement in the efficiency of the optimized cell, reaching a value as high as 35.10%. Upon introducing the cell under particle irradiations, by means of introducing charge carrier traps, the power conversion efficiency is observed to degrade to ca. 30% and 31% upon 1 MeV electron irradiation with a fluence of 1016 cm−2 and 10 MeV proton irradiation with a fluence of \(10^{13} {\text{ cm}}^{ - 2}\), respectively. Additionally, Shockley–Read–Hall trap assisted recombination is observed to be prominent in the n-InGaAs layer and is relatively negligible across the other two active layers of the cell. Consequently, radiative recombination is observed to be suppressed in the middle subcell with increased irradiation fluences, as the traps densities are increasingly introduced with the irradiation. Both the recombination rates remain relatively unaffected in the bottom subcell with increase in irradiation fluences. Pre-optimization efficiencies under similar irradiation were ca. 27% and 28%. Though degradation levels were similar, the optimized cell showed ca. 3% higher open-circuit voltage, ca. 4% higher short-circuit current and 10–11% better efficiency, demonstrating superior end-of-life performance for space applications.
本计算研究提出了一种综合优化方法,该方法适用于通过TCAD器件仿真包Crosslight APSYS实现InGaP/InGaAs/Ge晶格匹配三结太阳能电池的功率转换效率。研究重点是优化器件参数,即层状材料及其厚度和掺杂浓度,以提高效率并分析辐射引起的性能退化。在参数优化之前,电池的设计与典型的商用三结太阳能电池进行了基准测试,其效率接近31%. Considering lattice matching and layer-wise bandgap energies, thickness and doping concentrations were systematically varied to identify optimum values. Our study demonstrates a decent enhancement in the efficiency of the optimized cell, reaching a value as high as 35.10%. Upon introducing the cell under particle irradiations, by means of introducing charge carrier traps, the power conversion efficiency is observed to degrade to ca. 30% and 31% upon 1 MeV electron irradiation with a fluence of 1016 cm−2 and 10 MeV proton irradiation with a fluence of \(10^{13} {\text{ cm}}^{ - 2}\), respectively. Additionally, Shockley–Read–Hall trap assisted recombination is observed to be prominent in the n-InGaAs layer and is relatively negligible across the other two active layers of the cell. Consequently, radiative recombination is observed to be suppressed in the middle subcell with increased irradiation fluences, as the traps densities are increasingly introduced with the irradiation. Both the recombination rates remain relatively unaffected in the bottom subcell with increase in irradiation fluences. Pre-optimization efficiencies under similar irradiation were ca. 27% and 28%. Though degradation levels were similar, the optimized cell showed ca. 3% higher open-circuit voltage, ca. 4% higher short-circuit current and 10–11% better efficiency, demonstrating superior end-of-life performance for space applications.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.