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The integration of renewable energy and sustainable development (RE&SD) can help overcome existing obstacles and create opportunities for renewable energy deployment to achieve sustainable development goals. In view of the limited research on science mapping and visualization analyses of RE&SD, this study sought to determine the scientific structure and evolution based on longitudinal and mapping change analysis. As an entity in the knowledge base, keyword and subject were considered essential information of documents. The co-word network was generated using SciMAT to reveal the dynamic aspects of the scientific research in the five subperiods. The thematic evolutionary analysis identified two main RE&SD thematic areas, with the current research hotspots that involved technological, environmental, sustainable energy innovation, and sustainable biofuel contributions. The alluvial diagram using MapEquation revealed significant structural changes from subject data. Clusters of subjects continued to grow, and more interdisciplinary integration was undergoing. This study provides a systematic study of RE&SD research, and the future research of RE&SD may inevitably consider renewable energy investment and renewable energy perspective approaches to achieve sustainable development goals. [ABSTRACT FROM AUTHOR]

The continuing dependence on fossil fuels and the rising energy use in the transport sector have resulted in increased research into viable transport biofuels to mitigate climate change and improve energy security. As transport biofuels now only have a small share of the transport sector energy supply and the complexity in providing the fuels because of issues related to available land and food security, this paper develops conversion path solutions for transport biofuel development based on a technological paradigm study. A data-driven approaches system (DAS) that combines visualization analyses with technological paradigm theory is proposed to reveal the key areas and trends in transport biofuels. Timeline, timezones, and cluster visualizations identified the transport biofuel technological paradigm (TBTP) from current transport biofuel developments; a pre-shift phase (including TBTP competition and TBTP diffusion) and a shift phase (TBTP shift), which respectively relate to conventional biofuels, advanced biofuels, and biofuel cells. However, from further DAS trend analyses and the practical findings, electric energy trends were revealed, indicating that there was a paradigm shift from the biofuel paradigm to a bio-electric energy paradigm. From the developed bio-electric energy framework, both indirect and direct methods were found to have led to an this electric energy conversion to an e-bio fuel cell vehicle for fuel cell electric vehicles (FCEV) and bioelectricity for electric vehicles (EV), both of which can contribute to a low-carbon, sustainable transportation future. [ABSTRACT FROM AUTHOR]

Biofuels produced from renewable energy biomass are playing a more significant role because of the environmental problems resulting from the use of fossil fuels. However, a major problem with biofuel production is that despite the range of feedstock that can be used, raw material availability varies considerably. By combining a series of theories and methods, the research objective of this study is to determine the current developments and the future trends in biofuel feedstock. By combining technological paradigm theory with literature mining, it was found that biofuel feedstock production development followed a three-stage trajectory, which was in accordance with the traditional technological paradigm – the S-curve. This new curve can be divided into BFDP (biofuel feedstock development paradigm) competition, BFDP diffusion, and BFDP shift. The biofuel production diffusion velocity model showed that there has been constant growth from 2000, with the growth rate reaching a peak in 2008, after which time it began to drop. Biofuel production worldwide is expected to remain unchanged until 2030 when a paradigm shift is expected. This study also illustrates the results of our innovative procedure – a combination of the data analysis system and the technological paradigm theory – for the present biofuel feedstock soft path that will lead to this paradigm shift, with integrated biofuel production feedstock systems expected to be a significant new trend. [ABSTRACT FROM AUTHOR]