Dissertation/Thesis Abstract

Heterogeneous Integration of III-V Multijunction Solar Cells on Si Substrate: Cell Design & Modeling, Epitaxial Growth & Fabrication
by Jain, Nikhil, Ph.D., Virginia Polytechnic Institute and State University, 2015, 181; 10596466
Abstract (Summary)

The focus of this dissertation is to systematically investigate heterogeneously integrated III-V multijunction solar cells on Si substrate. Utilizing a combination of comprehensive solar cell modeling and experimental techniques, we seek to better understand the material properties and correlate them to improve the device performance, with simulation providing a very valuable feedback loop. Key technical design considerations and optimal performance projections are discussed for integrating metamorphic III-V multijunction solar cells on Si substrates for 1-sun and concentrated photovoltaics. Key factors limiting the “GaAs-on-Si” cell performance are identified, and novel approaches focused on minimizing threading dislocation density are discussed. Finally, we discuss a novel epitaxial growth path utilizing high-quality and thin epitaxial Ge layers directly grown on Si substrate to create virtual “Ge-on-Si” substrate for III-V-on-Si multijunction photovoltaics. With the plummeting price of Si solar cells accompanied with the tremendous headroom available for improving the III-V solar cell efficiencies, the future prospects for successful integration of III-V solar cell technology with Si substrate looks very promising to unlock an era of next generation of high-efficiency and low-cost photovoltaics. (Abstract shortened by ProQuest.)

Indexing (document details)
Advisor: Hudait, Mantu K.
School: Virginia Polytechnic Institute and State University
Department: Electrical Engineering
School Location: United States -- Virginia
Source: DAI-B 78/09(E), Dissertation Abstracts International
Subjects: Electrical engineering, Materials science
Keywords: Ae On Si epitaxy, Hererogenous integration, III-V-on-Si solar cells, Multijunction solar cells, Sobe cell modeling
Publication Number: 10596466
ISBN: 978-1-369-75430-8
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