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Digital Twin-Driven Green Energy Systems: Real-Time Optimization for Smart, Sustainable Infrastructure
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Author(s): R. N. Ravikumar (Marwadi University, Rajkot, India)and S. Aarthi (Marwadi University, Rajkot, India)
Copyright: 2026
Pages: 28
Source title:
The Future of Green Energy: Storage, Materials, Alternative Fuels, and Net-Zero Strategies
Source Author(s)/Editor(s): Shaik Mazhar Hussain (Middle East College, Oman), Shafiq Ul Rehman (Kingdom University, Bahrain), Anupam Srivastav (Middle East College, Oman), Anilloy Augustine Frank (Presidency University, India)and Ahmed Nawaz Hakro (Middle East College, Oman)
DOI: 10.4018/979-8-3373-3226-0.ch001
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Abstract
This chapter explores the transformative role of Digital Twin (DT) technology in optimizing green energy systems for net-zero goals. DTs serve as dynamic virtual replicas of physical energy assets such as wind turbines, solar panels, and EV infrastructure integrated with IoT, AI, and edge computing for real-time monitoring, predictive maintenance, and autonomous control. The chapter outlines DT architecture, sector-wise applications, and performance improvements with real-world case studies, including Siemens' wind farms and smart city EV networks. Key advancements include up to 40% enhancement in efficiency and 22% reduction in downtime. The integration of blockchain ensures data security and decentralized governance. Ethical, regulatory, and deployment challenges are discussed, along with future research directions in AI-driven autonomy and interoperability. This chapter concludes that DTs are central to developing resilient, intelligent, and sustainable energy ecosystems aligned with global climate targets.
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