Advancing biomass pyrolysis: a bibliometric analysis of global research trends (2002–2022).
Saved in:
| Title: | Advancing biomass pyrolysis: a bibliometric analysis of global research trends (2002–2022). |
|---|---|
| Authors: | Amusa, Abiodun Abdulhameed1 (AUTHOR) aabiodun581@gmail.com, Johari, Anwar1 (AUTHOR), Yahaya, Suleiman Abimbola2 (AUTHOR) |
| Source: | Environment, Development & Sustainability. Apr2025, Vol. 27 Issue 4, p8265-8316. 52p. |
| Subject Terms: | *Thermolysis, *Bibliometrics, *Artificial intelligence, *Coke (Coal product), *Green technology, *Biomass conversion |
| Abstract: | Biomass pyrolysis (BiomPy) is a promising green technology that facilitates the conversion of renewable biomass into valuable biofuels through thermal decomposition, providing sustainable solutions for meeting our energy needs. To gain a comprehensive understanding of global trends in BiomPy research, it is essential to conduct a comprehensive bibliometric analysis, identifying key contributors, research themes, and emerging areas. However, such analysis has been notably lacking. To fill this gap, our study conducted a bibliometric analysis utilizing data from the Scopus database covering the period from 2002 to 2022, with data mapping carried out using the VOSviewer program and RStudio package. The search yielded 1976 research articles, with China emerging as the leading nation in BiomPy research, likely driven by significant funding support from influential schemes provided by the Ministry of Education. Notably, the prominent publication in this field was the Fuel Journal. Additionally, Haiping Yang stood out as the top prolific author. The analysis highlighted the need for a deeper understanding of the complex pyrolysis mechanisms and the optimization of the process to enhance biofuel production efficiency, thereby achieving higher bio-oil yields, improving the quality and stability of bio-oil products, and reducing unwanted by-products like char and coke formation. Furthermore, the integration of advanced technologies, such as artificial intelligence and machine learning, has garnered growing interest, offering potential benefits in optimizing BiomPy processes and enhancing the prediction and control of product yields and properties. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Biomass pyrolysis (BiomPy) is a promising green technology that facilitates the conversion of renewable biomass into valuable biofuels through thermal decomposition, providing sustainable solutions for meeting our energy needs. To gain a comprehensive understanding of global trends in BiomPy research, it is essential to conduct a comprehensive bibliometric analysis, identifying key contributors, research themes, and emerging areas. However, such analysis has been notably lacking. To fill this gap, our study conducted a bibliometric analysis utilizing data from the Scopus database covering the period from 2002 to 2022, with data mapping carried out using the VOSviewer program and RStudio package. The search yielded 1976 research articles, with China emerging as the leading nation in BiomPy research, likely driven by significant funding support from influential schemes provided by the Ministry of Education. Notably, the prominent publication in this field was the Fuel Journal. Additionally, Haiping Yang stood out as the top prolific author. The analysis highlighted the need for a deeper understanding of the complex pyrolysis mechanisms and the optimization of the process to enhance biofuel production efficiency, thereby achieving higher bio-oil yields, improving the quality and stability of bio-oil products, and reducing unwanted by-products like char and coke formation. Furthermore, the integration of advanced technologies, such as artificial intelligence and machine learning, has garnered growing interest, offering potential benefits in optimizing BiomPy processes and enhancing the prediction and control of product yields and properties. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 1387585X |
| DOI: | 10.1007/s10668-023-04292-9 |
