Abstract
This study aims to achieve carbon neutrality in smart tech-parks by leveraging the synergistic integration of digital twin and energy management technologies. By creating a virtual replica of the physical park through digital twin technology, coupled with advanced energy management techniques, this research strives to optimize energy utilization, minimize carbon emissions, and enhance sustainability. Innovative approaches are proposed for improving energy efficiency, demand response, and integrating renewable energy sources within the park infrastructure. Real-time data from IoT devices and sensors are seamlessly integrated into the digital twin, enabling continuous monitoring, analysis, and control of energy systems. This dynamic energy management approach facilitates the achievement of carbon neutrality by ensuring a balance between energy generation and consumption. Experimental evaluations and simulations are conducted to assess the effectiveness and feasibility of the proposed methods, with results showcasing a significant reduction in energy consumption and carbon emissions, achieving an impressive 86% accuracy rate in carbon neutrality. The findings contribute to the field of sustainable smart tech-parks, providing valuable insights into the integration of digital twin and energy management technologies for achieving carbon neutrality. This research offers practical guidance for park operators, policymakers, and researchers involved in the development and management of smart tech-parks.
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Pang, X., Fan, X., Lu, X., Li, Y., Han, J. (2023). Carbon Neutrality in Smart Tech-Parks: Leveraging Metaverse and Energy Management Application. In: He, S., Lai, J., Zhang, LJ. (eds) Metaverse – METAVERSE 2023. METAVERSE 2023. Lecture Notes in Computer Science, vol 14210. Springer, Cham. https://doi.org/10.1007/978-3-031-44754-9_5
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