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AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development

Author

Listed:
  • Sanguk Park

    (School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea)

  • Sanghoon Lee

    (School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea)

  • Sangmin Park

    (School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea)

  • Sehyun Park

    (School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea)

Abstract

To build sustainable smart energy cities (SECs) around the world, many countries are now combining customized services and businesses within their energy infrastructure and urban environments. Such changes could then promote the development of platforms that ultimately provide benefits for citizens such as convenience, safety, and cost savings. Currently, the development of technologies for SECs focuses on independent products and unit technology. However, this is problematic, as it may not be possible to develop sustainable cities if there is a lack of connectivity between various elements within the SEC. To solve such problems, this paper presents an AI-based physical and virtual platform using a 5-layer architecture to develop a sustainable smart energy city (SSEC). The architecture employs both a top-down and bottom-up approach and the links between each energy element in the SSEC can readily be analyzed. The economic analysis based on return on investment (ROI) is carried out by comparing the economic benefits before and after the application of this system. Deploying the proposed platform will enable the speedy development and application of new services for SSECs and will provide SSECs with measures to ensure sustainable development, such as rapid urban development, and cost reductions.

Suggested Citation

  • Sanguk Park & Sanghoon Lee & Sangmin Park & Sehyun Park, 2019. "AI-Based Physical and Virtual Platform with 5-Layered Architecture for Sustainable Smart Energy City Development," Sustainability, MDPI, vol. 11(16), pages 1-30, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4479-:d:258795
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Rong Xie & Muyan Chen & Weihuang Liu & Hongfei Jian & Yanjun Shi, 2021. "Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
    3. Kristof Banyai & Laszlo Kovacs, 2023. "Identification of influence of digital twin technologies on production systems: a return on investment-based approach," Eastern-European Journal of Enterprise Technologies, PC TECHNOLOGY CENTER, vol. 4(13 (124)), pages 66-78, August.
    4. Kim, Hakpyeong & Choi, Heeju & Kang, Hyuna & An, Jongbaek & Yeom, Seungkeun & Hong, Taehoon, 2021. "A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    5. Mateusz Tomal, 2020. "Moving towards a Smarter Housing Market: The Example of Poland," Sustainability, MDPI, vol. 12(2), pages 1-25, January.
    6. Li Zhao & Zhi-ying Tang & Xin Zou, 2019. "Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    7. Rasa Apanaviciene & Andrius Vanagas & Paris A. Fokaides, 2020. "Smart Building Integration into a Smart City (SBISC): Development of a New Evaluation Framework," Energies, MDPI, vol. 13(9), pages 1-19, May.
    8. Qi Zhang & Hongyang Li & Xin Wan & Martin Skitmore & Hailin Sun, 2020. "An Intelligent Waste Removal System for Smarter Communities," Sustainability, MDPI, vol. 12(17), pages 1-27, August.

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