III-V Multijunction Solar Cells Contributions in the Renewable Energy Engineering
Renewable energy is rapidly replacing fossil fuels due to the urgent need to reduce greenhouse gas emissions and minimize the environmental impact of fossil fuels. In addition to their abundance, cleanliness, and cost effectiveness, solar photovoltaic systems stand out among renewable energy technol...
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| Tipo de documento: | tese |
| Data de publicação: | 2025 |
| País: | España |
| Recursos: | Universidad de Santiago de Compostela (USC) |
| Repositório: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| Idioma: | inglês |
| OAI Identifier: | oai:minerva.usc.gal:10347/42921 |
| Acesso em linha: | https://hdl.handle.net/10347/42921 |
| Access Level: | Acceso aberto |
| Palavra-chave: | solar cells Renewable energy GaAs predictive modeling 330709 Dispositivos fotoeléctricos 210601 Energía solar 330714 Dispositivos semiconductores |
| Resumo: | Renewable energy is rapidly replacing fossil fuels due to the urgent need to reduce greenhouse gas emissions and minimize the environmental impact of fossil fuels. In addition to their abundance, cleanliness, and cost effectiveness, solar photovoltaic systems stand out among renewable energy technologies. The focus of this research is the advancement of vertical multijunction VMJ gallium arsenide GaAs solar cells that are essential for ultra high concentration photovoltaic UHCPV systems. The advantages of VMJ solar cells are their high energy conversion efficiency, robustness against space radiation, and suitability for CubeSats. Several key parameters, ranging from doping density to layer thickness and solar concentration, are addressed in this study using the ATLAS Silvaco simulation platform. An advanced modeling technique investigated the interaction between intrinsic parameters e.g., doping and thickness of the P and N layers and extrinsic conditions e.g., sun concentration levels under AM0 and AM1.5 spectrums. |
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