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Simulation and Modelling as Catalysts for Renewable Energy: A Bibliometric Analysis of Global Research Trends

Author

Listed:
  • Ionuț Nica

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 0105552 Bucharest, Romania)

  • Irina Georgescu

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 0105552 Bucharest, Romania)

  • Nora Chiriță

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 0105552 Bucharest, Romania)

Abstract

This study investigates the application of advanced simulation and modeling technologies to optimize the performance and reliability of renewable energy systems. Given the urgent need to combat climate change and reduce greenhouse gas emissions, integrating renewable energy sources into existing infrastructure is essential. Using bibliometric methods, our research spans from 1979 to 2023, identifying key publications, institutions, and trends. The analysis revealed a significant annual growth rate of 16.78% in interest in simulation and modeling, with a notable surge in published articles, reaching 921 in 2023. This indicates heightened research activity and interest. Our findings highlight that optimization, policy frameworks, and energy management are central themes. Leading journals like Energies , Energy , and Applied Energy play significant roles in disseminating research. Key findings also emphasize the importance of international collaboration, with countries like China, the USA, and European nations playing significant roles. The three-field plot analysis demonstrated interconnections between keywords, revealing that terms like “renewable energy sources”, “optimization”, and “simulation” are central to the research discourse. Core funding agencies, such as the National Natural Science Foundation of China (NSFC) and the European Union, heavily support this research. This study underscores the importance of policies and sustainability indicators in promoting renewable energy technologies. These insights emphasize the need for ongoing innovation and interdisciplinary collaboration to achieve a sustainable energy future.

Suggested Citation

  • Ionuț Nica & Irina Georgescu & Nora Chiriță, 2024. "Simulation and Modelling as Catalysts for Renewable Energy: A Bibliometric Analysis of Global Research Trends," Energies, MDPI, vol. 17(13), pages 1-32, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3090-:d:1420432
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    References listed on IDEAS

    as
    1. Ionuț Nica & Camelia Delcea & Nora Chiriță & Ștefan Ionescu, 2024. "Quantifying Impact, Uncovering Trends: A Comprehensive Bibliometric Analysis of Shadow Banking and Financial Contagion Dynamics," IJFS, MDPI, vol. 12(1), pages 1-35, March.
    2. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    3. Abidin Kemeç & Ayşenur Tarakcıoglu Altınay, 2023. "Sustainable Energy Research Trend: A Bibliometric Analysis Using VOSviewer, RStudio Bibliometrix, and CiteSpace Software Tools," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    4. Weitemeyer, Stefan & Kleinhans, David & Vogt, Thomas & Agert, Carsten, 2015. "Integration of Renewable Energy Sources in future power systems: The role of storage," Renewable Energy, Elsevier, vol. 75(C), pages 14-20.
    5. Armenia Androniceanu & Irina Georgescu & Ionuț Nica & Nora Chiriță, 2023. "A Comprehensive Analysis of Renewable Energy Based on Integrating Economic Cybernetics and the Autoregressive Distributed Lag Model—The Case of Romania," Energies, MDPI, vol. 16(16), pages 1-28, August.
    6. Fang Liu, 2023. "Retrieval strategy and possible explanations for the abnormal growth of research publications: re-evaluating a bibliometric analysis of climate change," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 853-859, January.
    7. Georgescu, Irina Alexandra & Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Investigating the relationship between macroeconomic indicators, renewables and pollution across diverse regions in the globalization era," Applied Energy, Elsevier, vol. 363(C).
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