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Enhancing large-scale business models for 5G energy storage systems through optical quantum electronic control strategies

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Abstract

With the ongoing scientific and technological advancements in the field, large-scale energy storage has become a feasible solution. The emergence of 5G/6G networks has enabled the creation of device networks for the Internet of Things (IoT) and Industrial IoT (IIoT). However, analyzing IIoT traffic requires specialized models due to its distinct characteristics compared to voice traffic. Despite these developments, the energy storage sector still faces challenges in terms of inadequate business models and limited revenue streams. To meet the fronthaul requirements efficiently, optical fibre technologies, such as optical access networks, offer high-capacity and low latency connections, making them the preferred choice. As China's electricity market mechanism continues to improve, a flexible market environment is expected to facilitate the development of practical business strategies and create market opportunities for energy storage. This study focuses on modeling the charging and discharging processes of electrochemical storage and explores income scenarios through "stack value" applications. The findings demonstrate the benefits of a flexible market mechanism and the potential for multipurpose applications to drive the growth of the energy storage economy.

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Acknowledgements

This work was sponsored in part by S&T Major Project of Inner Mongolia Autonomous Region in China (2020ZD0018).

Funding

This work was sponsored in part by S&T Major Project of Inner Mongolia Autonomous Region in China (2020ZD0018).

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Authors and Affiliations

  1. Huadian Inner Mongolia Energy Co., Ltd., Inner Mongolia, 010020, China

    Yongmi Zhang, Changyu Zhu & Kai Zhang

  2. China Huadian Engineering Co., Ltd., Beijing, 100160, China

    Yanhong Li, Xingxing Wang, Junhong Liu, Guojing Lu, Chenyu Zhao & Jun Ye

Authors
  1. Yongmi Zhang
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  2. Yanhong Li
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  3. Changyu Zhu
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  4. Xingxing Wang
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  5. Kai Zhang
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  6. Junhong Liu
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  7. Guojing Lu
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  8. Chenyu Zhao
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  9. Jun Ye
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Contributions

YZ: Study Conception, YL: Design, CZ: Data Collection, XW: Analysis, KZ: Interpretation of Results, JL: Draft Manuscript, GL, CZ, JY: Preparation of final article.

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Correspondence to Yongmi Zhang.

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Zhang, Y., Li, Y., Zhu, C. et al. Enhancing large-scale business models for 5G energy storage systems through optical quantum electronic control strategies. Opt Quant Electron 55, 1184 (2023). https://doi.org/10.1007/s11082-023-05441-0

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