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Title
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Harnessing Digital Twins: A New Frontier for Electrical Systems in Industrial Plants
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Type
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JournalPaper
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Keywords
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Digital twins, Artificial intelligence, Industrial plant, Plant information management system
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Abstract
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Digital Twinning technology is being implemented in the operational process of industrial plants to increase predictability and efficiency. As a virtual real-time twin, it monitors the performance of each physical asset under certain operating conditions. That extends the life span of electrical components, which permits predictive maintenance with improved operational efficiency while reducing emissions and improving safety conditions. While applying DT technology, prioritization of critical components in the industrial electrical system exhibits great importance. Based on the findings, the MV motors and panels are identified as the most critical components of continuous and reliable industrial processes, where great attention is being paid to closely monitor their operational status and procure urgent actions in advance. Given that, the contribution will try to provide a realistic route for the applications of this technology to close the gaps between the advantages and the large-scale use in managing industrial electrical systems. This can be helpful for moving towards smarter and more sustainable operations of the industrial sector that can adapt to the energy evolution.
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Researchers
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Zuhaina Zakaria (Second Researcher), Hossein Zeynal (First Researcher)
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