1. A bibliometric and scientific mapping of the research landscape and trending topics in building integrated photovoltaic systems.
- Author
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Kant Paliwal, Mukul, Jakhar, Sanjeev, and Sharma, Vikrant
- Subjects
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PHOTOVOLTAIC power systems , *BIBLIOMETRICS , *LANDSCAPE assessment , *ARTIFICIAL neural networks , *PHASE change materials , *THEMATIC analysis - Abstract
• Explanatory bibliometric and thematic analysis of building integrated photovoltaic (BIPV) system are presented. • The collaborative association between organizations and authors are presented. • By using keyword and keyword co-occurrence analysis, trending topics and the evolution of research are explored. • Discussion of the primary issues and recommendations of BIPV systems for reducing energy need in buildings. The present article aims to identify emerging trends in the building integrated photovoltaic (BIPV) field through an analysis of the most prominent articles, authors, keywords, sources, and countries through bibliometric analysis of the same. To fulfil the study's aims, 1552 articles published in Scopus databases between 1985 and 2022 are reviewed and analysed using the Bibliometrix - R software, VOSviewer, and SciMAT. Since 2016, the results indicated that the number of publications per year in this domain has consistently increased. The China, UK, and USA were the most prominent contributors to this research area in terms of overall publications and citations. In addition, the results highlight the most significant sections of the article from the perspective of the highest citations, publications, keywords, and authors. Through co-citation analysis and keyword co-occurrence network, the major knowledge base and the most prominent hot themes of BIPV study field were identified. The minimum number of co-occurrences of keywords is set to the value of five which results in 166 threshold keywords out of these 146 keywords are selected and divided into 9 clusters. Cluster-1 (Red) contains a total of 32 keywords. BIPV has the highest connection of 63 links and 67 documents followed by phase change material (52 links and 45 documents). The results pointed to a potential gap in the literature regarding the use of artificial neural networks in BIPV systems. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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