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Digital Twins in Renewable Energy Systems: Enhancing Efficiency Projecting Sustainability
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Author(s): Vaishali Rahate (Datta Meghe Institute of Management Studies, India), Puja S. Agrawal (RamdeoBaba University, Nagpur, India), Maajid Mohi Ud Din Malik (Dr. D.Y. Patil Vidyapeeth University, India), Prashant Balwantrao Thakare (Gondwana University, Gadchiroli, India), Saurabh Chandra (Bennett University, Greater Noida, India)and Bhupinder Singh (Sharda University, India)
Copyright: 2025
Pages: 16
Source title:
Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen
Source Author(s)/Editor(s): Hind Hammouch (University Sidi Mohamed Ben Abdellah, Morocco)and Laeeq Razzak Janjua (WSB University, Poland)
DOI: 10.4018/979-8-3373-0045-0.ch009
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Abstract
The power of digital twins, virtual replicas of physical assets and systems that are revolutionizing the efficiency and performance is significant for optimization for renewable energy. Agriculture sector uses digital twins in the context of precision agriculture, fishing and reforestation, manufacturing can simulate machinery and robots predict maintenance breakdowns before they happen or calculate needs for supplies. Bringing new perspectives on cutting-edge technologies in the area of renewables it simulates wind turbine. With a real-time digital twin in place, energy operators can observe how the system behaves across diverse operating conditions, detect inefficiencies and work on data to make judicious decisions toward enhancing performance. In case of solar power systems, they monitor the performance efficiency of solar panels and predict probable failures which may result into loss from energy production.
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