4.5 Review

A Scoping Review of Renewable Energy, Sustainability and the Environment

期刊

ENERGIES
卷 14, 期 15, 页码 -

出版社

MDPI
DOI: 10.3390/en14154490

关键词

clean energy innovation; environmental sustainability; renewable energy

资金

  1. National Research Foundation of Ukraine [2020.02/0231, 2020.01/0185]
  2. Ministry of Education and Science of Ukraine [0119U100766, POIR.01.01.01-00-0281/20-00]
  3. National Center for Research and Development in Poland

向作者/读者索取更多资源

This study identifies the latest trends in research on renewable energy, sustainability, and the environment for 2020-2021, highlighting the significant impact of authors from the Asian region focusing on the security, efficiency, and reliability of energy systems. It also discusses the impact of the COVID pandemic on renewable energy sources and new technologies, as well as the application of computer science methods in this field. The findings suggest that there is great potential for the development of novel strategies in predicting, simulating, and optimizing processes within this research domain.
The article aims to identify the latest trends in research on renewable energy, sustainability and the environment. A total of 92,873 publications from 123 Scopus sources for 2020-2021 are compared using the scoping review method. The results show that the most cited works in this sample are those by authors from the Asian region. The research of these authors focuses on the security, efficiency and reliability of separate elements in energy systems. Besides, the paper considers the problems regarding COVID disease along with the renewable energy sources, perovskite and organic solar panels, nanostructured materials and high energy density. Finally, the paper analyses applications of computer science methods in research on renewable energy, sustainability and the environment. The findings evidently show that recent advancements in computer science methods were not extensively used in the discussed research domain and give a great room for novel strategies of prognosing, simulation and processes optimisation.

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