Sürdürülebilir Kalkınma Amaçları

  • DüzeltmeYalnız künye2024Scopus SJRQ1
    Retraction notice to “Cooling of non-sloped, positively sloped, and negatively sloped arrangements of Li-ion batteries with a phase change material connected to a solar system” [J. Energy Storage 52 Part B (2022) 104808] (Journal of Energy Storage (2022) 52(PB), (S2352152X22008179), (10.1016/j.est.2022.104808))

    Akkurt, Nevzat; Aghakhani, S.; Mahmoud, Mustafa Z.; Abdelrahman, Anas

    This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). Please note that an Expression of Concern has previously been published to alert readers to an ongoing investigation into this paper. This retraction supersedes the Expression of Concern. This article has been retracted at the request of the editor. In investigating concerns brought up regarding the article, the editor reached out to the authors for an explanation. Furthermore, the editor discovered suspicious changes in authorship between the original submission and the revised version of this paper. In summary, the author names Nevzat Akkurt (new first author), Mustafa Z. Mahmoud and Anas Abdelrahman were added to the revised paper without explanation and without the exceptional approval by the editor, which is contrary to the journal policy on changes to authorship. The authors failed to provide a satisfactory explanation to the above points. The editor therefore feels that the findings of the manuscript cannot be relied upon and that the article needs to be retracted.

    • SDG 7 · Erişilebilir ve Temiz Enerji
  • MakaleYalnız künye2022Scopus SJRQ1
    Cooling of non-sloped, positively sloped, and negatively sloped arrangements of Li-ion batteries with a phase change material connected to a solar system

    Akkurt, Nevzat; Aghakhani, S.; Mahmoud, Mustafa Z.; Abdelrahman, Anas

    Three cylindrical Li-ion batteries are simulated using COMSOL Multiphysics in this study. A circular PCM layer is used to cover the batteries. A battery pack connected to a solar system is tested to store energy in a residential building. The PCM is 100% melted at the beginning, and the frozen PCM volume fraction (PVOF) is studied over time. In addition, the temperatures of individual batteries in three different configurations are analyzed at air velocities 1 and 3 mm/s. The three battery configurations included a positive slope, a negative slope, and no slope. The finite element method (FEM) is utilized to derive algebraic equations. The test results are given to the network as training data, and different neural network architectures are tested in terms of the number of layers and the number of neurons in each layer, and finally a structure that has a minimum mean squared error as a network. Battery behavior predictor is selected. Finally, this model is given to the optimization algorithm as an optimization function to investigate the point at which the maximum voltage is obtained. The results showed that the positively sloped battery configuration decreased the temperatures of the batteries, while the non-sloped configuration increased the temperatures. In addition, the positively sloped configuration resulted in more frozen PCM than non-sloped and negatively sloped configurations at a given time. The minimum frozen PCM was observed in the non-sloped configuration. A change in the air velocity from 1 to 3 mm/s increased the frozen PCM and improved the cooling of the batteries.

    • SDG 7 · Erişilebilir ve Temiz Enerji
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