首页|Digital twin role for sustainable and resilient renewable power plants: A systematic literature review

Digital twin role for sustainable and resilient renewable power plants: A systematic literature review

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Transitioning to sustainable and resilient energy generation presents challenges in optimizing resource andstorage utilization, reducing operational costs, and addressing environmental impacts within renewable energypower plants. The shift away from fossil fuels in the energy sector requires innovative solutions to enhancesustainability and resilience. This study aims to explore the role of Digital Twin (DT) technology – a digitalreplica of a physical object or process with bidirectional communication – in promoting sustainability withinpower plants, an area that remains underexplored. Using a Sytematic Literature Review (SLR) of 61 peerreviewedpapers, this research examines six key categories of DT application: predictive analysis, performanceoptimization, risk assessment, model evaluation, process traceability, and human–machine interaction. Thefindings indicate that DT holds significant potential to improve power plant sustainability by enabling costreductions, optimizing energy usage, and minimizing environmental impact through waste reduction andcarbon emission management. This study underscores DT’s importance in supporting the energy sector’stransition towards sustainable practices and enhancing the resilience of renewable energy systems.

Power plantDigital twinSustainabilityResilienceRenewable energyHydrogenDigitalization

Waqar Ali Khan、Ashkan Pakseresht、Caslon Chua、Ali Yavari

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School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, Victoria, 3122, Australia||Hydrogen 4.0 Lab, Swinburne University of Technology, Melbourne, Victoria, 3122, Australia

Brunel Business School, Brunel University, London, UB8 3PH, Middlesex, United Kingdom

School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, Victoria, 3122, Australia

School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, Victoria, 3122, Australia||Hydrogen 4.0 Lab, Swinburne University of Technology, Melbourne, Victoria, 3122, Australia||6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, Victoria, 3122, Australia

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2025

Sustainable Energy Technologies and Assessments

Sustainable Energy Technologies and Assessments

SCI
ISSN:2213-1388
年,卷(期):2025.75(Mar.)
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