Open AccessStudy of photovoltaic solar materials development trend by deductive logic method using big data
Author(s) -
Yi Huei Su,
Jung Hua Wu
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/628/1/012013
Subject(s) - solar energy , photovoltaic system , scope (computer science) , engineering physics , environmental science , data science , engineering , computer science , electrical engineering , programming language
In recent years, the development of solar materials in the field of science and technology has experienced many major breakthroughs. This study collects relevant data to evaluate the development of solar energy technology based on deductive reasoning approach in the popular types, and then utilize big data to investigate the trend of smart materials development in solar energy research. This study aims to understand the impact of materials science on the development of photovoltaic solar energy and understand the trends in the research field from the number of published journals in past years. The period of study in this paper is from 1970 to 2018. The research scope is limited to an analysis of solar journals from Web of Science®, which indicates that various solar materials have very obvious difference in growth trends. From 1970 to 2010, although the United States was the country with the largest number of published solar journals, the percentage gradually decreased. Then from 2011 to 2018, China became the first among the top countries in solar energy materials publications.Among them, the field of “Dye-sensitized solar” grew the most, the highest research publications in the field of solar energy research is “Materials science”.