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Review

A Scoping Review of Renewable Energy, Sustainability and the Environment

1
BiEM, Sumy State University, 40007 Sumy, Ukraine
2
Faculty of Management, Rzeszów University of Technology, 35959 Rzeszów, Poland
3
Institute of Information Technology, Lodz University of Technology, 90924 Lodz, Poland
*
Author to whom correspondence should be addressed.
Submission received: 28 June 2021 / Revised: 18 July 2021 / Accepted: 22 July 2021 / Published: 25 July 2021

Abstract

:
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.

1. Introduction

Researchers have been significantly interested in renewable energy, sustainable development and environmental protection in recent years. Constant changes in energy markets to increase green energy consumption stimulate studies and publication activity globally [1,2]. Governments of all countries face ambitious challenges for the goals of 2030 and the demands to counteract climate changes [3,4] and reduce greenhouse gas emissions [5,6]. The environmental component is an integral part of sustainable development, the impact of which is greatly enhanced due to the extensive use of fossil resources and insufficient environmental protection. Uncontrolled pollution of territories can lead to economic consequences and negatively impact the environment [7,8], causing ecological disasters and migration of the working population [9,10]. At the same time, the Paris Agreement 2015 contains regulated requirements that disturb the transformation of energy balances in terms of reducing the share of coal [11,12] and expanding green energy production in the energy sector [13]. Given this and considering the fluctuations of generating power based on most green energy sources [14,15], it does not seem strange to find ways to balance the growing share of renewable energy sources in conventional energy systems [16,17]. Unfortunately, the existing solutions have drawbacks.
The scientific community conducts discussions and studies of economic efficiency regarding renewable energy sources [18,19]. Given the criticism of the current approach to assessing economic efficiency, the criteria and methods for measuring it are widely discussed [20,21]. However, not all countries have been able to achieve certain efficiency targets so far. There is a gap between potential and actual energy generation from renewable energy sources [22,23] and indicators of its productivity [24,25]. A possible solution, in this case, will be to expand the use of green innovations, smart grids [26,27], promising energy storage technologies [28,29]. The accelerated consumption of renewable energy resources is stimulated in the interested communities [30]. In the real world, citizen energy communities and renewable energy communities are formed, where changes are adapted, and the green innovation diffusion processes occur [31,32]. The existing infrastructure is used, and a new one, which can cope with the load when using renewable energy [33,34], is built to support and function such communities. The deployment of microgrids and virtual power plants is among the many innovations needed to integrate renewable energy sources [35,36]. In addition, the transition to sustainable business models [37,38] requires updating the requirements for flexibility, security [39,40], management of energy systems [41,42]. On the part of the state, such an update can be stimulated via institutions quality standards [43], environmental taxes [44,45], environmental responsibility strategies [46], security [47,48] and ecological standards [49,50], the requirements for industry safety indicators [51,52] and the introduction of comprehensive training programs [53,54]. Therefore, new research topics are rapidly emerging, driven by current changes and technologies in the energy sector. It is possible to name new technologies for the production and storage of energy [55,56], new requirements for the provision of basic functions in the COVID-19 pandemic [57,58]. Such topics require detailed study [59], determining the role and directions of the transition to sustainable green energy, the main factors in combating irreversible climate change, identifying drivers to ensure a green energy breakthrough, which is the purpose of this study.
This article consists of four sections. In the next section, the authors describe the research methodology and the main stages of the scoping review. The third section presents the results and issues related to the analysis of new topics and clusters, research results of institutions and leading authors in the subject area ‘Renewable energy, sustainability and the environment’ for 2020–2021. The conclusions complete this article.

2. Materials and Methods

The concept of the study was based on an adapted approach to the scoping review, considering the methodologies outlined in several works [60,61]. Given the potential and comprehensive coverage of the scientific literature on renewable energy, the authors ask the following research question: ‘What are the latest trends in research in the subject area, Renewable energy, sustainability and the environment?’ The scoping review in this work was performed to analyse the scientific literature from the Scopus database as of 7 April 2021, and to maximise the coverage of promising research for 2015–2021. For the general estimation of tendencies in the chosen subject area, 363,255 publications were found by All Science Journal Classification Codes (ASJC) subject area: ‘Renewable energy, sustainability and the environment’, among which 270,382 units were excluded (by date and type of publications). During 2020–2021, the authors selected a total of 78,126 articles and 14,747 conference papers. The final database of the study contained 92,873 publications by 302,587 authors. Figure 1 shows the general methodology of the study.
Content analysis of publications was performed using analytical applications for data visualisation of scientific publications: SciVal (scival.com, Copyright © 2021 Elsevier B.V.; accessed on 7 April 2021) and VOSviewer 1.6.16 (vosviewer.com, Copyright © 2021 Centre for Science and Technology Studies, Leiden University, Leiden, The Netherlands; downloaded on 7 April 2021). Performance indicators, research of topics and topic clusters, works of authors and institutions in publications were analysed using the analytical solution SciVal. Network analysis of the observed topics and authors was performed applying VOSviewer 1.6.16.
Citation maps were built for the top 5 leading publications (by the number of citations). About 1548 works cite the top 5 leading publications. For these publications, VOSviewer 1.6.16 network maps of joint citation and topics of research networks of the authors of the works were formed. When constructing the maps, the association strength normalisation method was used. The authors merged small clusters using the min cluster size filter.

3. Results and Discussion

3.1. The Cluster Analysis

The authors analysed the clusters and topics included in the subject area ‘Renewable Energy, Sustainability and the Environment’ for works published in 2020–2021. All publications during this period can be grouped into 20 clusters, three of which belonged to the top 1% of worldwide clusters by prominence in the Scopus database. These are such ASJC topic clusters (TC) as TC.30, TC.28, TC.81 (Table 1). The TC.30 contains 52 topics, the most important in terms of prominence percentile are topics (T) T.4025, T.1727, T.6, T.350 and T.5899. In the TC.28, topics T.257, T.200, T.5522 should be distinguished by prominence, and in the TC.81-topics T.5457, T.2456, T.3285. It is clear that the subject of these publications mainly relates to such areas as energy, materials science, chemistry. Although research within these clusters is being conducted worldwide, scientists from China and the United States have made the most significant progress.
According to the analytical platform SciVal, this sample of publications contained a total of 825 ASJC topics, 135 topics of which were in the top 1% of worldwide topics by prominence. Among the topics in the sample, one topic had 100% prominence (Figure 2, Table 2). This is T.20 (TC.8), which is related to the study of perovskite photovoltaic cells for solar panels. This topic is prospective and developing rapidly.
In general, the most cited publications in the research topics (Table 2) were prepared by both small teams and quite powerful ones, consisting of 30 people. Moreover, about 27% of all teams were international (Figure 3). However, at the same time, only 3% of co-authors had both an academic and a corporate affiliation, which may be a symptom of some slowdown in the commercialisation of innovations.
At the same time, 31% of publications in the sample belonged to the top 10% of journals. Most publications were published in 5 journals (Table 3): Sustainability (13,340 publications), Journal of Cleaner Production (7021), Energies (5368), International Journal of Hydrogen Energy (4382), Renewable Energy (3353). However, the most cited were publications published in the journals Nature Energy (14.3 citations per publication in the set), Energy and Environmental Science (11.4), Advanced Energy Materials (8.1), Energy Storage Materials (8.1). It is clear that the journals Nature Energy and Energy and Environmental Science have the highest score on the 2019 index CiteScore ™ (Appendix A, Table A1).

3.2. Institutions’ Research Performance

In terms of quantitative indicators of institutions for scientific publications in this area, the absolute leaders are Chinese institutions, which in the top ten occupy nine places in terms of the number of publications. The top 10 institutions by scientific result (scholarly output) are headed by the Ministry of Education of China, with affiliation of which 3377 publications were published in 2020–2021. Among the 9062 authors affiliated with the Ministry of Education of China, the largest number of publications was in Liao Q. (27 publications), Zhu X. (22) and Wang G. (15).
However, if we study the number of citations per one publication, the picture will be completely different. According to this metric, the top five institutions include Fluxim AG (Switzerland), International Union for Conservation of Nature and Natural Resources (Switzerland), Royal Swedish Academy of Sciences (Sweden), Valparaiso University (USA), Cag University (Turkey). These institutions belong to different countries and regions, and to different sectors. The top five includes government, corporate and academic institutions. It is worth noting that according to this metric, only institutions with a few highly cited works were in the top (Table 4).
Assessing the level of international cooperation in writing scientific publications, it is clear that Chinese institutions prevail. Two Chinese institutions (Chinese Academy of Sciences, and Ministry of Education, China) and one French institution (Center national de la recherche scientifique, CNRS) had the largest number of publications co-authored with employees of foreign institutions in 2020–2021. The Sankey chart provides information on the affiliation of the leading foreign co-authors of these institutions (Figure 4). One can see several directions of geographical orientation: Asian (besides China, you can also name Hong Kong, Singapore, Japan), American (USA and Canada), European (except France, also Great Britain, Denmark, Spain), Australian and African (Tunisia).

3.3. Authors’ Topic Research

In the context of the scientific achievements in the subject area ‘Renewable Energy, Sustainability and the Environment’ it is also reasonable to analyse the authors’ contribution. If we observe the top 10 most cited publications in this field in 2020, it is possible to see the geographical distribution of the relationship between publications (Figure 5). According to the results of spatial clustering, five clusters of countries were identified, the researchers of which have joint publications. The first cluster consisted of 15 countries, and related to assessing the stability of perovskite solar cells. The second cluster included studies of solar cells and modules, but included scientists from 4 countries: Australia, Germany, Italy and Japan. The third cluster of countries included researchers from the United States who had the largest number of links with foreign partners (22 links in this sample of publications). The fourth and fifth clusters included two countries each, China and Hong Kong in the fourth cluster, and India and Turkey in the fifth.
In general, the most cited works dealt with the security, efficiency and reliability of separate elements of energy systems in 2020–2021. Most works of the different areas studied energy storage issues, solar cells and their components (Table 5). It can be seen in more detail by looking at the topics of research networks.
To this end, the authors identified 1548 works citing the top 5 leading publications. For these publications, VOSviewer 1.6.16 network maps of joint citation (Figure 6) and topics of research networks of the authors of the works (Figure 7) were formed. The online citation map visually shows 59 authors who cited the top 5 leading publications more than 15 times in 2020–2021. The most prominent author in this regard was the Chinese scientist Li Y., who had a binding force of 118 for 54 documents. The author’s network focused on collaboration with colleagues from the College of Materials Science and Engineering, Hunan University (China), studying high-density potassium ion batteries.
As a result of the contextual analysis (Figure 7), a separate research direction in the first cluster was identified. Some works included in the first cluster observed the causes (SARS-CoV-2), results and consequences of coronavirus disease (COVID-19) along with the use of renewable energy sources. In combination with the sustainable development goals research, scientists tried to find an ecological footprint of the pandemic, better to manage waste and to form new trends in ecological research.
The terms included in the research of perovskite solar panels are concentrated in the second cluster. These terms had the most significant impact on the sample (total link strength was 2458 units). In combination with the main topic, the scientist paid attention to efficiency, measurement of degradation, defects and limitations of solar panels. The topics of long-term and operational stability of elements, photovoltaic devices, optoelectronic technologies [62,63] were also studied.
The third cluster contained works focusing on the study of semiconductors, silicone, nanostructured materials, nanofluidics. Performance assessments for green energy transformation were evaluated.
The fourth cluster considered various technologies to use batteries and accumulators of clean energy, capacity retention, assessment and ensuring the stability of space in the management of high-energy densities.
The fifth cluster included studies of energy gaps that the authors tried to bridge with efficient energy conversion technologies. Most works in the cluster were related to the development of organic solar panels.

3.4. Computer Science Research Domain in Renewable Energy, Sustainability and the Environment

Emerging research on renewable energy, sustainability and the environment coincide with a dynamic development of information technologies and computer science methods, which support the conducted research by modelling, prognosis, optimisation and computer simulations solutions. According to SCOPUS sources, for the last two years (2020–2021), only a very selected number (443) of documents covered simultaneously all the aspects, namely renewable energy, sustainability and the environment, with the aid of computer science techniques. On the other hand, bilateral correlations between computer science and individual subdomains: renewable energy, sustainability and the environment, respectively, have a much greater representation, reaching tens of thousands of scholarly outputs, in the last two years.
Considering synergy between renewable energy and computer science research domains, the most cited scholarly outputs, considering this research field, investigate photovoltaic cells parameters optimisation. The power system frequency stabilisation subdomain was the most cited [64]. Another research subdomain, second in citation order, covers renewable energy smart grid systems [65]. The most extensively exploited computer science methods encompass machine learning techniques, blockchain technology and edge computing, which increase the intelligence of smart grid nodes, support the security of energy systems and reduce a transferred data stream.
Analogically, the computer science research domain, in the context of sustainability, encompasses thousands of scholarly outputs. The most cited prevailing problems regard blockchain and machine learning techniques in sustainable supply chains and transportation policies [66,67,68]. The research subdomain also puts a particular interest in the exploitation of big data techniques and Edge-IoT systems for ecosystems monitoring [69], damage detection [70] and livestock or crops monitoring [71]. Surprisingly, sustainable human-centric healthcare and distant education systems [72,73], which intuitively may inspire scientists, due to the recent pandemic situation, in the last two years, give way to the logistics-related problems. Data science techniques and artificial intelligence can support ecological design, which accelerates the transition towards a regenerative approach [74] or can support energy management and sharing among base stations [75].
According to the SCOPUS sources, the most extensive scope of scholarly outputs regards exploiting computer science techniques and methods in environmental engineering-related problems. The dominating research subdomain considers wireless networks [76]. It might be caused by the growing importance of the 5G/6G technologies in communication and IoT distributed [77,78], covering edge computing and industrial sensors clouds. Second, in citation rate, research problems concern computer science techniques in autonomous vehicles software [79]. Besides widely explored aspects of roads static vicinity (i.e., signposts) analysis [80], geo-localisation and route planning [81], the most challenging and at the same time revealing great room for research-based impact refers to predicting the behaviour of a dynamic, unpredictably changing environment [82].
Artificial intelligence techniques for energy consumption or savings prediction [83] are among the most cited problems in the renewable energy engineering research domains. They are almost as much investigated as the aspects of robust grid energy management or optimal deployment of zero-net-energy systems [84,85].
The maps of pairwise research topics, encompassing computer science methods in selected subdomains are presented in Figure 8. Although individual research subdomains are developing very dynamically, their interdependences are relatively limited. Based on this, it can be concluded that the application of IT methods in the field of green energy and sustainability will steadily increase in the coming years.

4. Conclusions

The study aimed to identify the general trends in research in the subject area ‘Renewable energy, sustainability and the environment’. The general research question is answered by exploring the scientific publications for 2020–2021. To this end, 92,873 publications by 302,587 authors, published in 123 sources and indexed by the Scopus database as of 7 April 2021, were analysed. Applications of visualisation of scientific publications data-SciVal and VOSviewer were used for the analysis of the newest subjects and clusters, research of establishments and the leading authors of analytical works.
The data showed that all publications during this period were grouped into 20 clusters (ASJC), three of which belonged to the top 1% of the world’s clusters by popularity: TC.30, TC.28, TC.81. Among the topics in the sample, one topic had the 100% prominence, related to the study of perovskite photovoltaic cells for solar panels (T.20). About 31% of publications in the sample belonged to the top 10% of journals. However, at the same time, only 3% of co-authors had both an academic and a corporate affiliation, which may be a symptom of some slowdown in the commercialisation of innovations.
In terms of the number of scientific publications in this field, the absolute leaders are Chinese institutions. They take nine places in the top ten in terms of the number of published works for 2020–2021. The largest number of publications co-authored with employees from foreign institutions in 2020–2021 had two Chinese institutions (Chinese Academy of Sciences, and Ministry of Education, China) and one French (CNRS).
In general, in 2020–2021, the most cited works were those mainly by authors from the Asian region, which were devoted to security, efficiency and reliability of individual elements in the energy systems, the study of COVID disease along with the renewable energy sources, perovskite and organic solar panels, nanostructured materials and high energy density.
The review is enhanced by a contextual analysis of areas of collaboration between two rapidly growing disciplines: computer science and the fields of renewable energy, sustainability and environmental engineering. Its results clearly show that the undeveloped space of cooperation between the disciplines will be a stimulator of their mutual development and a source of many new solutions in the coming years.

Author Contributions

Conceptualisation, S.K., A.W. and T.V.; methodology, S.K. and A.W.; software, S.K.; validation, S.K.; formal analysis, S.K. and M.M.; investigation, S.K. and A.W.; resources, S.K., Y.B.; data curation, S.K., Y.B. and S.K.; writing—original draft preparation, S.K.; writing—review and editing, S.K., A.W. and T.V.; visualisation, S.K.; supervision, T.V. and A.W.; funding acquisition, S.K., A.W. and T.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Research Foundation of Ukraine (grant numbers: 2020.02/0231; 2020.01/0185); the Ministry of Education and Science of Ukraine (grant number: 0119U100766). This research was carried out as a part of project no. POIR.01.01.01-00-0281/20-00, entitled: ‘Predictive energy management system EnMS’, co-financed by the National Center for Research and Development in Poland.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Authors appreciate the copyright holder: © Elsevier B.V. as well as the source of the extracted data which is SciVal @ www.scival.com (accessed on 7 April 2021).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Appendix A

Table A1. Top 100 Scopus sources by publications on renewable energy, sustainability and the environment in 2020–2021.
Table A1. Top 100 Scopus sources by publications on renewable energy, sustainability and the environment in 2020–2021.
Scopus SourcePublicationsCitations Per Publication2019 CiteScore™
Sustainability13,3401.43.2
Journal of Cleaner Production70214.210.9
Energies53681.53.8
International Journal of Hydrogen Energy43822.98.0
Renewable Energy33534.511.2
Journal of Materials Chemistry A25944.117.1
ACS Sustainable Chemistry and Engineering21522.99.7
Bioresource Technology20854.112.8
Journal of Power Sources19343.414.4
Journal of the Electrochemical Society18131.55.8
International Journal of Energy Research16271.64.2
Nano Energy14906.023.1
Energy Conversion and Management14464.513.6
Solar Energy13542.68.1
Journal of Energy Storage11872.85.2
Energy Sources, Part A: Recovery, Utilization and Environmental Effects10881.52.1
Sustainable Cities and Society10004.67.5
Waste and Biomass Valorization9661.73.6
Environmental Research Letters9281.78.9
Biomass Conversion and Biorefinery8601.43.3
2020 IEEE 4th Conference on Energy Internet and Energy System Integration: Connecting the Grids Towards a Low-Carbon High-Efficiency Energy System, EI2 202080800
Advanced Energy Materials7558.135.4
Taiyangneng Xuebao/Acta Energiae Solaris Sinica7410.10.4
Solar Energy Materials and Solar Cells6533.011.6
Renewable and Sustainable Energy Reviews6413.625.5
IEEE Power and Energy Society General Meeting6390.10
Sustainable Energy and Fuels6392.25.4
Energy Storage Materials6138.116.8
2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 202057600
International Journal of Ambient Energy5442.92.7
Proceedings of 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 20205310.30
Sustainable Energy Technologies and Assessments5162.45.4
Journal of Chemical Technology and Biotechnology4881.54.8
Energy Research and Social Science4722.59
Thermal Science4691.02.5
IET Renewable Power Generation4641.07.6
IEEE Transactions on Sustainable Energy4373.615.7
Biomass and Bioenergy4341.56.6
Journal of Wind Engineering and Industrial Aerodynamics4341.64.9
ACS Energy Letters4326.623.4
iSPEC 2020-Proceedings: IEEE Sustainable Power and Energy Conference: Energy Transition and Energy Internet38100
Frontiers in Energy Research3710.72.5
Proceedings-2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 20203490.30
SPE/AAPG/SEG Unconventional Resources Technology Conference 2020, URTeC 20203490.20
Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 20203430.10
Environmental Progress and Sustainable Energy3411.22.8
Research Journal of Chemistry and Environment3310.10.2
Journal of the Energy Institute3083.36.5
2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 20202980.60
Bioresource Technology Reports2961.61.7
Energy and Environmental Science29311.456
2020 IEEE/IAS Industrial and Commercial Power System Asia, I and CPS Asia 20202890.10
Geothermics2881.57
Sustainable Production and Consumption2772.15.1
Materials Today Energy2772.66.2
Proceedings of the ISES Solar World Congress 2019 and IEA SHC International Conference on Solar Heating and Cooling for Buildings and Industry 20192760.10
Nature Environment and Pollution Technology2750.10.5
Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 202027300
Biotechnology for Biofuels2661.98.9
Asia-Pacific Journal of Chemical Engineering2450.82.4
Journal of Energy Resources Technology, Transactions of the ASME2391.34.4
2020 Advances in Science and Engineering Technology International Conferences, ASET 20202310.30
ChemNanoMat2211.55
European Biomass Conference and Exhibition Proceedings21000
Wind Energy2091.76.4
Proceedings of the International Conference on Electronics and Sustainable Communication Systems, ICESC 20202090.40
Proceedings-2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 202020400
Bioenergy Research2011.14.6
2020 IEEE PES/IAS PowerAfrica, PowerAfrica 20201980.10
International Journal of Precision Engineering and Manufacturing-Green Technology1952.27.5
2020 Asia Energy and Electrical Engineering Symposium, AEEES 20201920.10
Sustainable Development1903.74.9
6th IEEE International Energy Conference, ENERGYCon 20201900.10
Green Energy and Environment1801.29.8
Journal of Renewable and Sustainable Energy1790.83.2
Journal of King Saud University, Engineering Sciences1742.46.8
Journal of Security and Sustainability Issues1740.53.9
Progress in Photovoltaics: Research and Applications1735.016.3
Biofuels1702.33
Nature Sustainability1697.66.8
International Journal of Renewable Energy Research1680.84.4
Journal of Modern Power Systems and Clean Energy1661.26.4
IEEE Transactions on Green Communications and Networking1661.05.5
Proceedings-2020 23rd IEEE International Multi-Topic Conference, INMIC 202016600
Energy Exploration and Exploitation1641.22.9
2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 20201640.50
Carbon Letters1600.92.8
International Journal of Sustainable Transportation1551.95.6
Energy and Environment1521.42.4
2020 5th International Conference on Smart and Sustainable Technologies, SpliTech 20201510.10
International Journal of Green Energy1500.92.8
Dianli Jianshe/Electric Power Construction1490.21.2
2020 7th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2020-Proceedings14600
Sustainable Water Resources Management1430.70
Proceedings of the World Conference on Smart Trends in Systems, Security and Sustainability, WS4 20201430.10
International Journal of Sustainable Development and Planning1420.51.4
Proceedings of 2020 13th International Conference Management of Large-Scale System Development, MLSD 202014000
Journal of Applied Engineering Science1380.31.1
Environmental Innovation and Societal Transitions1383.911.3
Nature Energy13714.371.2
Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.

References

  1. Kostel, M.; Leus, D.; Cebotarenco, A.; Mokrushina, A. The sustainable development goals for Eastern partnership countries: Impact of institutions. Socioecon. Chall. 2017, 1, 79–90. [Google Scholar] [CrossRef] [Green Version]
  2. Petrushenko, Y.; Vadym, A.; Vorontsova, A.; Ponomarenko, O. Sustainable development goals as a tool for strategic planning in communities: A bibliometric analysis of research. E3S Web Conf. 2020, 202, 03005. [Google Scholar] [CrossRef]
  3. Chovancová, J.; Tej, J. Decoupling economic growth from greenhouse gas emissions: The case of the energy sector in V4 countries. Equilibrium. Q. J. Econ. Econ. Policy 2020, 15, 235–251. [Google Scholar] [CrossRef]
  4. El Amri, A.; Oulfarsi, S.; Boutti, R.; Sahib Eddine, A.; Hmioui, A. Carbon financial markets underlying climate change mitigation, pricing and challenges: Technical analysis. Financ. Mark. Inst. Risks 2021, 5, 5–17. [Google Scholar] [CrossRef]
  5. Mitic, P.; Kostic, A.; Petrovic, E.; Cvetanovic, S. The relationship between co2 emissions, industry, services and gross fixed capital formation in the Balkan countries. Eng. Econ. 2020, 31, 425–436. [Google Scholar] [CrossRef]
  6. Samusevych, Y.; Vysochyna, A.; Vasylieva, T.; Lyeonov, S.; Pokhylko, S. Environmental, energy and economic security: Assessment and interaction. E3S Web Conf. 2021, 234, 00012. [Google Scholar] [CrossRef]
  7. Destek, M.A.; Sinha, A. Renewable, non-renewable energy consumption, economic growth, trade openness and ecological footprint: Evidence from organisation for economic co-operation and development countries. J. Clean. Prod. 2020, 242, 118537. [Google Scholar] [CrossRef]
  8. Didenko, I.; Volik, K.; Vasylieva, T.; Lyeonov, S.; Antoniuk, N. Migration, environment, and country safety: Analysis of touchpoints. E3S Web Conf. 2020, 202, 03028. [Google Scholar] [CrossRef]
  9. Didenko, I.; Volik, K.; Vasylieva, T.; Lyeonov, S.; Antoniuk, N. Environmental migration and country security: Theoretical analysis and empirical research. E3S Web Conf. 2021, 234, 00010. [Google Scholar] [CrossRef]
  10. Lu, Z.; Gozgor, G.; Lau, C.K.M.; Paramati, S.R. The dynamic impacts of renewable energy and tourism investments on international tourism: Evidence from the G20 countries. J. Bus. Econ. Manag. 2019, 20, 1102–1120. [Google Scholar] [CrossRef] [Green Version]
  11. Jonek-Kowalska, I. Coal mining in Central-East Europe in perspective of industrial risk. Oeconomia Copernic. 2017, 8, 131–143. [Google Scholar] [CrossRef]
  12. Cebula, J.; Chygryn, O.; Chayen, S.V.; Pimonenko, T. Biogas as an alternative energy source in Ukraine and Israel: Current issues and benefits. Int. J. Environ. Technol. Manag. 2018, 21, 421–438. [Google Scholar] [CrossRef]
  13. Jonek-Kowalska, I. Transformation of energy balances with dominant coal consumption in European economies and Turkey in the years 1990–2017. Oeconomia Copernic. 2019, 10, 627–647. [Google Scholar] [CrossRef] [Green Version]
  14. Androniceanu, A.; Popescu, C.R. An inclusive model for an effective development of the renewable energies public sector. Adm. Public Manag. Rev. 2017, 28, 81–96. [Google Scholar]
  15. Kasperowicz, R.; Pinczyński, M.; Khabdullin, A. Modeling the power of renewable energy sources in the context of classical electricity system transformation. J. Int. Stud. 2017, 10, 264–272. [Google Scholar] [CrossRef]
  16. Kolcun, M.; Rusek, K.; Valentiny, T. Power plants of Poland and Slovakia in aspect of sustainable development. Pol. J. Manag. Stud. 2019, 20, 300–310. [Google Scholar] [CrossRef]
  17. Kolosok, S.; Myroshnychenko, I.; Zakharkina, L. Open data in electrical energy balancing of Ukraine: Green deal and security aspects. CEUR Workshop Proc. 2020, 2732, 270–281. Available online: http://ceur-ws.org/Vol-2732/20200270.pdf (accessed on 7 April 2021).
  18. Androniceanu, A.; Georgescu, I.; Dobrin, C.; Dragulanescu, I.V. Multifactorial components analysis of the renewable energy sector in the OECD countries and managerial implications. Pol. J. Manag. Stud. 2020, 22, 36–49. [Google Scholar] [CrossRef]
  19. Kolosok, S.; Myroshnychenko, I.; Mishenina, H.; Yarova, I. Renewable energy innovation in Europe: Energy efficiency analysis. E3S Web Conf. 2021, 234, 00021. [Google Scholar] [CrossRef]
  20. Kolosok, S.; Pimonenko, T.; Yevdokymova, A.; Hajiyev, N.O.; Palienko, M.; Prasol, L. Energy efficiency policy: Impact of green innovations. Mark. Manag. Innov. 2020, 4, 50–60. [Google Scholar] [CrossRef]
  21. Nitsenko, V.; Mardani, A.; Streimikis, J.; Shkrabak, I.; Klopov, I.; Novomlynets, O.; Podolska, O. Criteria for evaluation of efficiency of energy transformation based on renewable energy sources. Montenegrin J. Econ. 2018, 14, 237–247. [Google Scholar] [CrossRef]
  22. Lyulyov, O.; Pimonenko, T.; Kwilinski, A.; Dzwigol, H.; Dzwigol-Barosz, M.; Pavlyk, V.; Barosz, P. The impact of the government policy on the energy efficient gap: The evidence from Ukraine. Energies 2021, 14, 373. [Google Scholar] [CrossRef]
  23. Pavlyk, V. Assessment of green investment impact on the energy efficiency gap of the national economy. Financ. Mark. Inst. Risks 2020, 4, 117–123. [Google Scholar] [CrossRef]
  24. Pavlyk, V. Institutional determinants of assessing energy efficiency gaps in the national economy. Socioecon. Chall. 2020, 4, 122–128. [Google Scholar] [CrossRef]
  25. Tvaronavičienė, M.; Prakapienė, D.; Garškaitė-Milvydienė, K.; Prakapas, R.; Nawrot, Ł. Energy efficiency in the long run in the selected European countries. Econ. Sociol. 2018, 11, 245–254. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Vakulenko, I.; Saher, L.; Syhyda, L.; Kolosok, S.; Yevdokymova, A. The first step in removing communication and organizational barriers to stakeholders’ interaction in smart grids: A theoretical approach. E3S Web Conf. 2021, 234, 00020. [Google Scholar] [CrossRef]
  27. Yan, Q.; Mikalauskiene, A.; Wan, Y.; Mikalauskas, I. Smart grids for renewable energy: Costs and benefits. Transform. Bus. Econ. 2017, 16, 430–439. [Google Scholar]
  28. Kazemilari, M.; Mohamadi, A.; Mardani, A.; Streimikiene, D. Network topology of renewable energy sector in stock exchange. Montenegrin J. Econ. 2018, 14, 167–174. [Google Scholar] [CrossRef]
  29. Rui, L.; Sineviciene, L.; Melnyk, L.; Kubatko, O.; Karintseva, O.; Lyulyov, O. Economic and environmental convergence of transformation economy: The case of China. Probl. Perspect. Manag. 2019, 17, 233–241. [Google Scholar] [CrossRef] [Green Version]
  30. Rus, A.V.; Rovinaru, M.D.; Pirvu, M.; Bako, E.D.; Rovinaru, F.I. Renewable energy generation and consumption across 2030–analysis and forecast of required growth in generation capacity. Transform. Bus. Econ. 2020, 19, 746–766. [Google Scholar]
  31. Petrushenko, Y.; Kostyuchenko, N.; Smolennikov, D.; Vorontsova, A. Impact of the participatory financing of international development projects on social capital of the local communities. Probl. Perspect. Manag. 2017, 15, 183–192. [Google Scholar] [CrossRef] [Green Version]
  32. Starchenko, L.; Lyeonov, S.; Vasylieva, T.; Pimonenko, T.; Lyulyov, O. Environmental management and green brand for sustainable entrepreneurship. E3S Web Conf. 2021, 234, 00015. [Google Scholar] [CrossRef]
  33. Starchenko, L.V.; Samusevych, Y.V.; Demchuk, K. Social and eco-friendly entrepreneurship: The keys to sustainability. Bus. Ethics Leadersh. 2021, 5, 118–126. [Google Scholar] [CrossRef]
  34. Yelnikova, Y.V.; Barhaq, A.R. Transparency of Responsible Investment Environment. Bus. Ethics Leadersh. 2020, 4, 68–75. [Google Scholar] [CrossRef]
  35. Kaya Samut, P. Integrated FANP-f-MIGP model for supplier selection in the renewable energy sector. J. Bus. Econ. Manag. 2017, 18, 427–450. [Google Scholar] [CrossRef] [Green Version]
  36. Klevas, V.; Bobinaite, V.; Marciukaitis, M.; Tarvydas, D. Microeconomic analysis for the formation of renewable energy support policy: The case of wind power sector in Lithuania. Eng. Econ. 2018, 29, 188–196. [Google Scholar] [CrossRef] [Green Version]
  37. Sotnyk, I.; Shvets, I.; Momotiuk, L.; Chortok, Y. Management of renewable energy innovative development in Ukrainian households: Problems of financial support. Mark. Manag. Innov. 2018, 4, 150–160. [Google Scholar] [CrossRef]
  38. Vasilieva, T.; Lieonov, S.; Makarenko, I.; Sirkovska, N. Sustainability information disclosure as an instrument of marketing communication with stakeholders: Markets, social and economic aspects. Mark. Manag. Innov. 2017, 4, 350–357. [Google Scholar] [CrossRef] [Green Version]
  39. Chortok, Y.; Yevdokymova, A.; Serpeninova, Y. Formation of the mechanism of corporate social and environmental responsibility of the trading company. J. Environ. Manag. Tour. 2018, 9, 1011–1018. [Google Scholar] [CrossRef]
  40. Kasych, A.; Vochozka, M. Theoretical and methodical principles of managing enterprise sustainable development. Mark. Manag. Innov. 2017, 2, 298–305. [Google Scholar] [CrossRef] [Green Version]
  41. Liuta, O.; Pihul, N.; Kubakh, T. Financial capacity of local budget as a basis for sustainable functioning of a territory. Econ. Ann. XXI 2015, 1–2, 78–81. Available online: https://0-www-scopus-com.brum.beds.ac.uk/record/display.uri?eid=2-s2.0-84939243561&origin=resultslist (accessed on 7 April 2021).
  42. Taliento, M.; Netti, A. Corporate Social/Environmental Responsibility and Value Creation: Reflections on a Modern Business Management Paradigm. Bus. Ethics Leadersh. 2020, 4, 123–131. [Google Scholar] [CrossRef]
  43. Dkhili, H. Environmental performance and institutions quality: Evidence from developed and developing countries. Mark. Manag. Innov. 2018, 3, 333–344. [Google Scholar] [CrossRef]
  44. Vasylieva, T.; Machová, V.; Vysochyna, A.; Podgórska, J.; Samusevych, Y. Setting up architecture for environmental tax system under certain socioeconomic conditions. J. Int. Stud. 2020, 13, 273–285. [Google Scholar] [CrossRef]
  45. Vysochyna, A.; Samusevych, Y.; Starchenko, L. Convergence trends of environmental taxation in european countries. E3S Web Conf. 2020, 202, 03031. [Google Scholar] [CrossRef]
  46. Zhulavskyi, A.Y.; Smolennikov, D.O.; Kostyuchenko, N.M. Social and environmental responsibility strategies of business. Nauk. Visnyk Natsionalnoho Hirnychoho Universytetu 2017, 3, 134–139. Available online: http://nv.nmu.org.ua/index.php/en/archive/on-the-issues/1438-2017-eng/contents-3-2017/economy-and-management/4013-social-and-environmental-responsibility-strategies-of-business (accessed on 7 April 2021).
  47. Vysochyna, A.; Stoyanets, N.; Mentel, G.; Olejarz, T. Environmental determinants of a country’s food security in short-term and long-term perspectives. Sustainability 2020, 12, 4090. [Google Scholar] [CrossRef]
  48. Yarovenko, H. Evaluating the threat to national information security. Probl. Perspect. Manag. 2020, 18, 195–210. [Google Scholar] [CrossRef]
  49. Ziabina, Y.A.; Pimonenko, T.V.; Starchenko, L.V. Energy efficiency of national economy: Social, economic and ecological indicators. Socioecon. Chall. 2020, 4, 160–174. [Google Scholar] [CrossRef]
  50. Matvieieva, Y.; Myroshnychenko, I.; Valenkevych, L. Optimization model of the socio-ecological-economic development of the administrative territory. J. Environ. Manag. Tour. 2019, 10, 1874–1899. [Google Scholar] [CrossRef]
  51. Vasilyeva, T.; Bilan, S.; Bagmet, K.; Seliga, R. Institutional development gap in the social sector: Crosscountry analysis. Econ. Sociol. 2020, 13, 271–294. [Google Scholar] [CrossRef]
  52. Vasilyeva, T.; Kuzmenko, O.; Bozhenko, V.; Kolotilina, O. Assessment of the dynamics of bifurcation transformations in the economy. CEUR Workshop Proc. 2019, 2422, 134–146. Available online: https://0-www-scopus-com.brum.beds.ac.uk/record/display.uri?eid=2-s2.0-85071124329&origin=resultslist (accessed on 7 April 2021).
  53. Vorontsova, A.; Vasylieva, T.; Bilan, Y.; Ostasz, G.; Mayboroda, T. The influence of state regulation of education for achieving the sustainable development goals: Case study of central and eastern European countries. Adm. Public Manag. Rev. 2020, 2020, 6–26. [Google Scholar] [CrossRef]
  54. Vorontsova, A.; Shvindina, H.; Mayboroda, T.; Mishenina, H.; Heiets, I. The impact of state regulation in a sphere of education on sustainable development of national economy. Probl. Perspect. Manag. 2020, 18, 275–288. [Google Scholar] [CrossRef]
  55. Green, M.A.; Dunlop, E.D.; Hohl-Ebinger, J.; Yoshita, M.; Kopidakis, N.; Ho-Baillie, A.W.Y. Solar cell efficiency tables (version 55). Prog. Photovolt. Res. Appl. 2020, 28, 3–15. [Google Scholar] [CrossRef]
  56. Khenkin, M.V.; Katz, E.A.; Abate, A.; Bardizza, G.; Berry, J.J.; Brabec, C.; Lira-Cantu, M. Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures. Nat. Energy 2020, 5, 35–49. [Google Scholar] [CrossRef]
  57. Keliuotytė-Staniulėnienė, G.; Daunaravičiūtė, K. The global green bond market in the face of the COVID-19 pandemic. Financ. Mark. Inst. Risks 2021, 5, 50–60. [Google Scholar] [CrossRef]
  58. Klemeš, J.J.; Fan, Y.V.; Tan, R.R.; Jiang, P. Minimising the present and future plastic waste, energy and environmental footprints related to COVID-19. Renew. Sustain. Energy Rev. 2020, 127, 109883. [Google Scholar] [CrossRef] [PubMed]
  59. Myroshnychenko, I.; Makarenko, I.; Smolennikov, D.; Buriak, A. The approach to managing corporate social and environmental responsibility in manufacturing. TEM J. 2019, 8, 740–748. [Google Scholar] [CrossRef]
  60. Kokol, P.; Završnik, J.; Turčin, M.; Vošner, H.B. Enhancing the role of academic librarians in conducting scoping reviews. Libr. Philos. Pract. 2020, 2020, 1–17. [Google Scholar]
  61. Schultz, A.; Goertzen, L.; Rothney, J.; Wener, P.; Enns, J.; Halas, G.; Katz, A. A scoping approach to systematically review published reviews: Adaptations and recommendations. Res. Synth. Methods 2018, 9, 116–123. [Google Scholar] [CrossRef]
  62. Adhikari, G.C.; Thapa, S.; Zhu, H.; Zhu, P. UV Resin Enhanced Stability of Metal Halide Perovskite Nanocrystals for White Light-Emitting Diodes. ACS Appl. Electron. Mater. 2020, 2, 35–40. [Google Scholar] [CrossRef]
  63. Adhikari, G.C.; Thapa, S.; Yue, Y.; Zhu, H.; Zhu, P. Near Unity PLQY and High Stability of Barium Thiocyanate Based All-Inorganic Perovskites and Their Applications in White Light-Emitting Diodes. Photonics 2021, 8, 209. [Google Scholar] [CrossRef]
  64. Vedik, B.; Kumar, R.; Deshmukh, R.; Verma, S.; Shiva, C.K. Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly Algorithm. J. Control Autom. Electr. Syst. 2021, 32, 227–243. [Google Scholar] [CrossRef]
  65. Ayadi, F.; Colak, I.; Garip, I.; Bulbul, H.I. Impacts of Renewable Energy Resources in Smart Grid. In Proceedings of the 2020 8th International Conference on Smart Grid (ICSMARTGRID), Kuching, Malaysia, 4–7 October 2020; IEEE: Piscataway, NJ, USA, 2020; pp. 183–188. [Google Scholar]
  66. Kamble, S.S.; Gunasekaran, A.; Sharma, R. Modeling the blockchain enabled traceability in agriculture supply chain. Int. J. Inf. Manag. 2020, 52, 101967. [Google Scholar] [CrossRef]
  67. Wong, L.W.; Leong, L.Y.; Hew, J.J.; Tan, G.W.H.; Ooi, K.B. Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs. Int. J. Inf. Manag. 2020, 52, 101997. [Google Scholar] [CrossRef]
  68. Sharma, R.; Kamble, S.S.; Gunasekaran, A.; Kumar, V.; Kumar, A. A systematic literature review on machine learning applications for sustainable agriculture supply chain performance. Comput. Oper. Res. 2020, 119, 104926. [Google Scholar] [CrossRef]
  69. Cui, Y.; Kara, S.; Chan, K.C. Manufacturing big data ecosystem: A systematic literature review. Robot. Comput. Integr. Manuf. 2020, 62, 101861. [Google Scholar] [CrossRef]
  70. Du, Y.; Zhou, S.; Jing, X.; Peng, Y.; Wu, H.; Kwok, N. Damage detection techniques for wind turbine blades: A review. Mech. Syst. Signal Process. 2020, 141, 106445. [Google Scholar] [CrossRef]
  71. Alonso, R.S.; Sittón-Candanedo, I.; García, Ó.; Prieto, J.; Rodríguez-González, S. An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario. Ad Hoc Netw. 2020, 98, 102047. [Google Scholar] [CrossRef]
  72. Squazzoni, F.; Polhill, J.G.; Edmonds, B.; Ahrweiler, P.; Antosz, P.; Scholz, G.; Chappin, É.; Borit, M.; Verhagen, H.; Giardini, F.; et al. Computational models that matter during a global pandemic outbreak: A call to action. J. Artif. Soc. Soc. Simul. 2020, 23, 10. Available online: https://www.jasss.org/23/2/10.html (accessed on 7 April 2021). [CrossRef] [Green Version]
  73. Barteit, S.; Guzek, D.; Jahn, A.; Bärnighausen, T.; Jorge, M.M.; Neuhann, F. Evaluation of e-learning for medical education in low-and middle-income countries: A systematic review. Comput. Educ. 2020, 145, 103726. [Google Scholar] [CrossRef] [PubMed]
  74. Kadar, T.; Kadar, M. Sustainability Is Not Enough: Towards AI Supported Regenerative Design. In Proceedings of the 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Cardiff, UK, 15–17 June 2020; IEEE: Piscataway, NJ, USA, 2020; pp. 1–6. [Google Scholar]
  75. Piovesan, N.; López-Pérez, D.; Miozzo, M.; Dini, P. Joint Load Control and Energy Sharing for Renewable Powered Small Base Stations: A Machine Learning Approach. IEEE Trans. Green Commun. Netw. 2020, 5, 512–525. [Google Scholar] [CrossRef]
  76. Wu, Q.; Zhang, R. Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network. IEEE Commun. Mag. 2020, 58, 106–112. [Google Scholar] [CrossRef] [Green Version]
  77. Mistry, I.; Tanwar, S.; Tyagi, S.; Kumar, N. Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges. Mech. Syst. Signal Process. 2020, 135, 106382. [Google Scholar] [CrossRef]
  78. Shafique, K.; Khawaja, B.A.; Sabir, F.; Qazi, S.; Mustaqim, M. Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios. IEEE Access 2020, 8, 23022–23040. [Google Scholar] [CrossRef]
  79. Narayanan, S.; Chaniotakis, E.; Antoniou, C. Shared autonomous vehicle services: A comprehensive review. Transp. Res. Part C Emerg. Technol. 2020, 111, 255–293. [Google Scholar] [CrossRef]
  80. Zhang, J.; Xie, Z.; Sun, J.; Zou, X.; Wang, J. A cascaded R-CNN with multiscale attention and imbalanced samples for traffic sign detection. IEEE Access 2020, 8, 29742–29754. [Google Scholar] [CrossRef]
  81. Tamiminia, H.; Salehi, B.; Mahdianpari, M.; Quackenbush, L.; Adeli, S.; Brisco, B. Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. ISPRS J. Photogramm. Remote Sens. 2020, 164, 152–170. [Google Scholar] [CrossRef]
  82. Rasouli, A.; Tsotsos, J.K. Autonomous vehicles that interact with pedestrians: A survey of theory and practice. IEEE Trans. Intell. Transp. Syst. 2020, 21, 900–918. [Google Scholar] [CrossRef] [Green Version]
  83. Gassar, A.A.A.; Cha, S.H. Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review. Energy Build. 2020, 224, 110238. [Google Scholar] [CrossRef]
  84. Kazerani, M.; Tehrani, K. Grid of Hybrid AC/DC Microgrids: A New Paradigm for Smart City of Tomorrow. In Proceedings of the 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), Budapest, Hungary, 2–4 June 2020; IEEE: Piscataway, NJ, USA, 2020; pp. 175–180. [Google Scholar]
  85. Kaur, K.; Garg, S.; Kumar, N.; Aujla, G.S.; Choo, K.K.R.; Obaidat, M.S. An adaptive grid frequency support mechanism for energy management in cloud data centers. IEEE Syst. J. 2020, 14, 1195–1205. [Google Scholar] [CrossRef]
Figure 1. Diagram of the general research methodology.
Figure 1. Diagram of the general research methodology.
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Figure 2. Top 10 topics by prominence that appear within renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
Figure 2. Top 10 topics by prominence that appear within renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
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Figure 3. Performance indicators within renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
Figure 3. Performance indicators within renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
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Figure 4. Top networks that appear within renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
Figure 4. Top networks that appear within renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
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Figure 5. Network map for spatial measurement of research top 10 publications on renewable energy, sustainability and the environment, 2020 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
Figure 5. Network map for spatial measurement of research top 10 publications on renewable energy, sustainability and the environment, 2020 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
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Figure 6. Network citation map of top 5 publications on renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
Figure 6. Network citation map of top 5 publications on renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
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Figure 7. Network map of research topics for the top 5 publications on renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
Figure 7. Network map of research topics for the top 5 publications on renewable energy, sustainability and the environment, 2020–2021 (Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.).
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Figure 8. Network map covering computer science and (a) renewable energy, (b) sustainability, (c) the environmental engineering research subdomains, 2020–2021 (data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.; graphics according to Kamada-Kawai layout).
Figure 8. Network map covering computer science and (a) renewable energy, (b) sustainability, (c) the environmental engineering research subdomains, 2020–2021 (data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.; graphics according to Kamada-Kawai layout).
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Table 1. Top 1% of worldwide clusters by prominence that appear within renewable energy, sustainability and the environment, 2020–2021.
Table 1. Top 1% of worldwide clusters by prominence that appear within renewable energy, sustainability and the environment, 2020–2021.
Topic ClusterScholarly OutputPublication Share (%)Field-Weighted Citation ImpactProminence Percentile
Secondary Batteries; Electric Batteries; Lithium Alloys (TC.30)78916.901.96100.000
Electric Power Transmission Networks; Wind Power; Electric Power Distribution (TC.28)62517.231.0099.398
Electricity; Energy; Economics (TC.81)37287.401.6099.264
Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.
Table 2. Top 10 topics by prominence ranking that appear within renewable energy, sustainability and the environment, 2020–2021.
Table 2. Top 10 topics by prominence ranking that appear within renewable energy, sustainability and the environment, 2020–2021.
RankTopicProminence PercentileTop First Authors by CitationsTop First Source by Citations
1Perovskite Solar Cells; Lead Bromide; Formamidine [T.20]100.000Zheng, X., Hou, Y., Bao, C. and 27 moreNature Energy
2Object Detection; CNN; IOU [T.4338]99.999Rashid, M., Khan, M.A., Alhaisoni, M. and 4 moreSustainability (Switzerland)
3Oxygen Production; Electrocatalysts; Water Splitting [T.4025]99.997Liang, C., Zou, P., Nairan, A. and 7 moreEnergy and Environmental Science
4Cyanogen; Heptazine; Photocatalysts [T.2252]99.996Che, H., Liu, C., Che, G. and 5 moreNano Energy
5Molybdenum Disulfide; Rhenium Sulfide; Van Der Waals [T.63]99.995Bafekry, A., Obeid, M.M., Nguyen, C.V. and 2 moreJournal of Materials Chemistry A
6Sodium-ion Batteries; Nati2(Po4)3; Ion Storage [T.1727]99.994Guo, R., Lv, C., Xu, W. and 7 moreAdvanced Energy Materials
7Electrochemical Capacitors; Cobaltous Sulfide; Electrode Materials [T.6]99.993Wulan Septiani, N.L., Kaneti, Y.V., Fathoni, K.B. and 9 moreNano Energy
8Intestine Flora; Ruminococcaceae; Dysbiosis [T.455]99.992Tashiro, A., Shaw, R.Sustainability (Switzerland)
9Zinc Air Batteries; Electrocatalysts; Chemical Reduction [T.350]99.991Zhu, Y., Sokolowski, J., Song, X. and 3 moreAdvanced Energy Materials
10Electrocatalysts; Cobalt Phosphide; Water Splitting [T.5899]99.989Wu, Q., Luo, M., Han, J. and 7 moreACS Energy Letters
Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.
Table 3. Top 10 Scopus sources by publications on renewable energy, sustainability and the environment in 2020–2021.
Table 3. Top 10 Scopus sources by publications on renewable energy, sustainability and the environment in 2020–2021.
Scopus SourcePublicationsCitations Per Publication2019 CiteScore™
Sustainability13,3401.43.2
Journal of Cleaner Production70214.210.9
Energies53681.53.8
International Journal of Hydrogen Energy43822.98.0
Renewable Energy33534.511.2
Journal of Materials Chemistry A25944.117.1
ACS Sustainable Chemistry and Engineering21522.99.7
Bioresource Technology20854.112.8
Journal of Power Sources19343.414.4
Journal of the Electrochemical Society18131.55.8
Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.
Table 4. Top 5 institutions by number of citations per publication in Scopus on renewable energy, sustainability and the environment in 2020–2021.
Table 4. Top 5 institutions by number of citations per publication in Scopus on renewable energy, sustainability and the environment in 2020–2021.
InstitutionCitationsAuthorsCitations Per PublicationField-Weighted Citation Impact (SciVal)
Fluxim AG130643.316.52
International Union for Conservation of Nature and Natural Resources86328.716.45
Royal Swedish Academy of Sciences92423.012.97
Valparaiso University107321.48.12
Cag University108318.06.96
Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.
Table 5. Top 5 authors by the number of citations in Scopus on renewable energy, sustainability and the environment in 2020–2021.
Table 5. Top 5 authors by the number of citations in Scopus on renewable energy, sustainability and the environment in 2020–2021.
NameCountryCitations (2020/21)Scholarly Output (2020/21)Most Cited Publication (2020/21)
Wang, ZhonglinChina, USA60141On the first principle theory of nanogenerators from Maxwell’s equations
Sun, Andy XueliangCanada51143Design of a mixed conductive garnet/Li interface for dendrite-free solid lithium metal batteries
Jermsittiparsert, KittisakThailand39946An IGDT-based risk-involved optimal bidding strategy for hydrogen storage-based intelligent parking lot of electric vehicles
Shafee, AhmadViet Nam37912Acceleration of discharge process of clean energy storage unit with insertion of porous foam considering nanoparticle enhanced paraffin
Lü, XinhuiHong Kong36216Over 17% efficiency ternary organic solar cells enabled by two non-fullerene acceptors working in an alloy-like model
Based on the SciVal database (www.scival.com, accessed on 7 April 2021); data source: Scopus (downloaded on 7 April 2021); copyright: Elsevier B.V.
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Kolosok, S.; Bilan, Y.; Vasylieva, T.; Wojciechowski, A.; Morawski, M. A Scoping Review of Renewable Energy, Sustainability and the Environment. Energies 2021, 14, 4490. https://0-doi-org.brum.beds.ac.uk/10.3390/en14154490

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Kolosok S, Bilan Y, Vasylieva T, Wojciechowski A, Morawski M. A Scoping Review of Renewable Energy, Sustainability and the Environment. Energies. 2021; 14(15):4490. https://0-doi-org.brum.beds.ac.uk/10.3390/en14154490

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Kolosok, Svitlana, Yuriy Bilan, Tetiana Vasylieva, Adam Wojciechowski, and Michał Morawski. 2021. "A Scoping Review of Renewable Energy, Sustainability and the Environment" Energies 14, no. 15: 4490. https://0-doi-org.brum.beds.ac.uk/10.3390/en14154490

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