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The Future Design of Smart Energy Systems with Energy Flexumers: A Constructive Literature Review

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  • Jin-Li Hu

    (Institute of Business and Management, National Yang Ming Chiao Tung University, Taipei City 10044, Taiwan)

  • Nhi Ha Bao Bui

    (Institute of Business and Management, National Yang Ming Chiao Tung University, Taipei City 10044, Taiwan)

Abstract

From powering our homes to driving our economies, energy lies at the heart of humanity’s complex challenges in the modern era. This paper reviews the evolution of smart energy systems, examining their technological advancements and societal implications while proposing a future design framework emphasizing four key pillars: holistic resource optimization, adaptive intelligence, environmental harmony, and human-centered design. While they offer numerous benefits, such as enhanced energy efficiency and reduced carbon emissions, smart energy systems also face challenges. These include cybersecurity risks, the complexity of integrating diverse energy sources seamlessly, high upfront costs, and potential compatibility issues arising from evolving technologies. Overcoming these challenges will be crucial for unleashing the full potential of smart energy systems and facilitating their global adoption. Abundant opportunities for further research and development exist in this domain, awaiting exploration and advancement.

Suggested Citation

  • Jin-Li Hu & Nhi Ha Bao Bui, 2024. "The Future Design of Smart Energy Systems with Energy Flexumers: A Constructive Literature Review," Energies, MDPI, vol. 17(9), pages 1-32, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2039-:d:1382748
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    Cited by:

    1. Hassan Qudrat-Ullah, 2025. "A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations," Energies, MDPI, vol. 18(9), pages 1-26, April.
    2. Barbara Wyrzykowska & Hubert Szczepaniuk & Edyta Karolina Szczepaniuk & Anna Rytko & Marzena Kacprzak, 2024. "Intelligent Energy Management Systems in Industry 5.0: Cybersecurity Applications in Examples," Energies, MDPI, vol. 17(23), pages 1-22, November.
    3. Tymoteusz Miller & Irmina Durlik & Ewelina Kostecka & Adrianna Łobodzińska & Marcin Matuszak, 2024. "The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems," Energies, MDPI, vol. 17(24), pages 1-31, December.

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