PDF

Graphene for Flexible Photovoltaic Devices

Kwadwo Mensah-Darkwa, Rita Namoe Tabi

2019engraphenephotovoltaicflexiblesolardevices

Abstract

Language:

Flexible photovoltaic devices (FPD’s) are emerging as next-generation technology in photovoltaic research. FPD’s have attracted great attention due to their broad potential applications, particularly in wearable devices, portable electronics, integrated textiles, unmanned aerial vehicles, transportation, and military. Existing technologies have improved efficiency and performance over the years; however, they primarily rely on rigid, brittle, costly, and chemically unstable electrodes. For FPD’s to become practical, there is a need for new materials that offer inherent flexibility without compromising mechanical and optical properties. Significant advances have been made in developing various aspects of FPD’s to enhance optical transmittance, mechanical stability, and chemical stability. Graphene has been recognized as an excellent material for flexible photovoltaic devices owing to its unique optical, electrical, and mechanical properties. The introduction of an inexpensive and abundant carbon-based material like graphene in making flexible, low-cost, transparent PV cells is promising. Nevertheless, the synthesis methods of graphene to achieve optimal performance remain complex. This paper provides a brief overview of recent developments in flexible photovoltaic devices utilizing graphene.

Download

Cite This Work

@article{a87d2e9f-3f08-493b-8f13-e55ad1aab539,
  title={Graphene for Flexible Photovoltaic Devices},
  author={Kwadwo Mensah-Darkwa and Rita Namoe Tabi},
  year={2019},
  language={en}
}
TY  - JOUR
TI  - Graphene for Flexible Photovoltaic Devices
AU  - Kwadwo Mensah-Darkwa
AU  - Rita Namoe Tabi
PY  - 2019
LA  - en
ER  -

Similar Items

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Process Engineering and Plant Design

Siddhartha Mukherjee

This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an

2022enPDF

Extraction and Recovery of Metals from Spent HDS Catalysts: Lab- and Pilot-Scale Results of the Overall Process

Nertil Xhaferaj, Francesco Ferella

The present study proposes an overall recycling process for spent hydrodesulfurization (HDS) catalysts. The process put together stages already known

2022enPDF

Study on Gas-Solid Heat Transfer and Decomposition Reaction of Calcination Process in an Annular Shaft Kiln Based on the Finite Volume Method

Shaopei Duan, Baokuan Li

As an excellent reducing agent, lime has an important role in the steel production process. Annular Shaft Kiln (ASK) has been widely used in the lime

2022enPDF

Thermochemical Modeling Factors in Roasting Pre-treatment using a Rotary Kiln for Efficient Vanadium Recovery

Sang-hun Lee, Kyeong Woo Chung

In this study, analytical thermochemical modeling factors that contribute to maintaining a specific temperature range during vanadium roasting as a pr

2022enPDF

Process Simulation and Life Cycle Assessment of Ceramic Pigment Production: A Case Study of Green Cr2O3

Olympios Alifieris, Dimitrios Katsourinis

This study presents a combined process modeling—Life Cycle Assessment (LCA) approach for the evaluation of green Cr2O3 ceramic pigments production. Pi

2021enPDF