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.
