Mr. Saber Arabi Nowdeh | Renewable energy | Research Excellence Award
Mr. Saber Arabi Nowdeh | Golestan vocational and technical training center, gorgan. | Iran
Mr. Saber Arabi Nowdeh is a highly impactful researcher in the field of renewable energy systems, with a strong focus on hybrid power generation, distributed energy planning, and optimization-based reliability enhancement for modern power grids. His research extensively explores the integration and optimal sizing of photovoltaic, wind, and fuel cell technologies to achieve reliable, cost-efficient, and sustainable standalone energy solutions, particularly in off-grid and future low-carbon infrastructures. He has developed and applied advanced meta-heuristic and hybrid optimization techniques, including ant lion optimization, fuzzy multi-objective decision methods, and hybrid meta-heuristic algorithms, to enhance system efficiency, improve power quality, reduce energy losses, and increase reliability indices such as LOEE and LOLE. His publications in well-recognized journals including Renewable Energy, Journal of Cleaner Production, Applied Soft Computing, and Environmental Technology & Innovation demonstrate both strong academic recognition and the practical relevance of his contributions. With several of his research articles achieving high citation counts, his work is widely acknowledged by the global scientific community and frequently used as a foundational reference in designing resilient renewable energy systems. His studies have also expanded knowledge in strategic allocation of distributed generation resources, addressing load interruption probability, and strengthening the reliability of smart distribution networks. Overall, his ongoing research continues to advance cutting-edge solutions for integrating clean energy sources into future power systems, supporting global sustainability goals and strengthening the scientific basis for innovative energy technologies.
Featured Publications
Moghaddam, M. J. H., Kalam, A., Nowdeh, S. A., Ahmadi, A., & Babanezhad, M. (2019). Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower … Renewable Energy, 135, 1412–1434.
Jahannoosh, M., Nowdeh, S. A., Naderipour, A., Kamyab, H., & Davoudkhani, I. F. (2021). New hybrid meta-heuristic algorithm for reliable and cost-effective designing of photovoltaic/wind/fuel cell energy system considering load interruption probability. Journal of Cleaner Production, 278, 123406.
Nowdeh, S. A., Davoudkhani, I. F., Moghaddam, M. J. H., Najmi, E. S., & Abdelaziz, A. Y. (2019). Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method. Applied Soft Computing, 77, 761–779.
Hadidian-Moghaddam, M., Arabi-Nowdeh, S., Bigdeli, M., & Azizian, D. (2018). A multi-objective optimal sizing and siting of distributed generation using ant lion optimization technique. Ain Shams Engineering Journal, 9(4), 2101–2109.
Jafar-Nowdeh, A., Babanezhad, M., Arabi-Nowdeh, S., & Naderipour, A. (2020). Meta-heuristic matrix moth–flame algorithm for optimal reconfiguration of distribution networks and placement of solar and wind renewable sources considering reliability. Environmental Technology & Innovation, 20, 101118.