A Scientometric Approach to Analyze Scientific Development on Renewable Energy Sources

• 作者: Jones Luís Schaefer Julio Cezar Mairesse Siluk Ismael Cristofer Baierle Elpidio Oscar Benitez Nara
• 来源期刊: 数据与情报科学学报:英文版
• 学科: 工学
• 关键词: Solar energy Photovoltaic energy Wind energy Biomass energy SCIENTOMETRICS
• 年，卷（期）: 2021,（1）
• 页码范围: 87-119
• 页数: 33页
• 分类号: TP3

摘要

Purpose: This paper aims to point out the scientific development and research density of renewable energy sources such as photovoltaic, wind, and biomass, using a mix of computational tools. Based on this, it was possible to verify the existence of new research trends and opportunities in a macro view regarding management, performance evaluation, and decision-making in renewable energy generation systems and installations.Design/methodology/approach: A scientometric approach was used based on a research protocol to retrieve papers from the Scopus database, and through four scientometric questions, to analyze each area. Software such as the Science Mapping Analysis Software Tool(Sci MAT) and Sci2 Tool were used to map the science development and density.Findings: The scientific development of renewable energy areas is highlighted, pointing out research opportunities regarding management, studies on costs and investments, systemic diagnosis, and performance evaluation for decision-making in businesses in these areas.Research limitations: This paper was limited to the articles indexed in the Scopus database and by the questions used to analyze the scientific development of renewable energy areas.Practical implications: The results show the need for a managerial perspective in businesses related to renewable energy sources at the managerial, technical, and operational levels, including performance evaluation, assertive decision making, and adequate use of technical and financial resources.Originality/value: This paper shows that there is a research field to be explored, with gaps to fill and further research to be carried out in this area. Besides, this paper can serve as a basis for other studies and research in other areas and domains.