1. A review of materials selection for optimized efficiency in quantum dot sensitized solar cells: A simplified approach to reviewing literature data
- Author
-
I. A. Rauf and Pouya Rezai
- Subjects
Engineering ,Renewable Energy, Sustainability and the Environment ,business.industry ,Technical information ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,computer.software_genre ,01 natural sciences ,0104 chemical sciences ,Quantum dot ,Statistical inference ,Data mining ,0210 nano-technology ,business ,computer ,Simulation - Abstract
Quantum dot (QD) sensitized solar cells have been receiving significant attention because of their potential to replace the existing conventional solar cells as low cost and high efficiency alternatives. This widespread attention has generated a large number of published research papers in the field that were recently reviewed. The challenge in reviewing the literature is in transforming the collected technical information generated through independently conducted perturbation experiments into an alternative point of view. A unique approach based on inferential statistics is explained and applied to reviewed QD based solar cells data. Analyzing the data in this fashion has provided us new and previously unknown insight into the operation and functioning of solar cells as well as the relative quantitative importance of each variable involved in determining the properties of interest in solar cells. This methodology is very powerful and can be applied to gain insight through reviewing the published data in any field of science to set the direction for ongoing and future research. In addition, the response surface methodology is explained and used to predict the reachable optimum efficiency of 20% with a given set of materials combination given the current state of the art.
- Published
- 2017
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