2022
DOI: 10.1016/j.ijhydene.2021.10.130
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Metaheuristic optimization techniques to design solar-fuel cell-battery energy system for locomotives

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Cited by 10 publications
(3 citation statements)
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“…The utilization of solar energy is a prominent feature of Indian Railways' climate change adaptation strategy. Solar panels have been installed on railway station rooftops, railway buildings, and other infrastructure to generate renewable energy and reduce reliance on conventional power sources [57]. This initiative not only reduces carbon emissions but also helps in energy cost savings.…”
Section: Adaptation Measures and Technologiesmentioning
confidence: 99%
“…The utilization of solar energy is a prominent feature of Indian Railways' climate change adaptation strategy. Solar panels have been installed on railway station rooftops, railway buildings, and other infrastructure to generate renewable energy and reduce reliance on conventional power sources [57]. This initiative not only reduces carbon emissions but also helps in energy cost savings.…”
Section: Adaptation Measures and Technologiesmentioning
confidence: 99%
“…Özelikle optimizasyon problemlerinin çözümünde, farklı alanlardaki problemlere kolayca uyarlanabilen sezgisel algoritmalar tercih edilmektedir. Doğadaki canlılardan, fizik ve kimya yasalarından esinlenerek geliştirilen bu algoritmalar; solar yakıt hücrelerinin tasarımı (Ajayan, 2022), motorların başarımının artırımı (Duan ve diğ., 2023), güç sistemlerinin iyileştirilmesi (Ali ve diğ., 2023), tıp alanında hastalık teşhisi (Riaz ve diğ., 2022), yapay sinir ağlarının eğitimi (Öztürk ve diğ., 2018; Mardani-Aghabaglou ve diğ., 2021), akım ve gerilim sensörlerinin tasarımı (Raheem ve Basil, 2023), elektrik ağlarının planlanması (Xia ve diğ., 2023) gibi birçok alanda yaygın bir şekilde kullanılmaktadır. Sezgisel algoritmalar rastgele arama süreçleri kullandıklarından, gradyan tabanlı optimizasyon tekniklerine göre daha çok sayıda hesaplama girişimine ihtiyaç duymaktadırlar.…”
Section: Introductionunclassified
“…The optimization-based methodology for using particle swarm optimization for a fuel cell battery hybrid locomotive is proposed in [20]. There are, additionally, numerous different investigations on EMS, evaluating the hybrid framework such as the methodology dependent on Pontryagin's minimum principle [21,22], Metaheuristic optimization techniques [23], fluffy rationale control [24], speed trajectory optimization by Improved Pathfinder algorithm [25], least identical hydrogen consumption [26], etc. However, the majority of these EMSs are presented for simple and low-power road vehicles and are not specified for large-scale, high-power, and time-varying rail vehicles.…”
Section: Introductionmentioning
confidence: 99%