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A two-stage business model for voltage sag sensitive industrial users employing energy storage systems

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  • Liao, Hong
  • Chen, Yunzhu
  • Zheng, Zixuan
  • Xiao, Xianyong
  • Zhang, Shu

Abstract

Integration of a behind-the-meter (BTM) energy storage system (ESS) is a dependable method of reducing electricity costs and improving power quality for industrial users susceptible to voltage sags. However, at present, barriers such as substantial initial investment costs, extended investment return periods, and limited service strategy flexibility are impeding the widespread implementation of BTM ESSs in industrial contexts. Integrated energy service providers (IESPs) supply innovative BTM ESS solutions and have emerged as viable options for navigating these challenges. This study proposes a new two-stage business model designed to advance ESS deployment while considering the needs of both the IESP and users. Herein, the framework of the proposed business model is outlined to delineate the participant roles and responsibilities at different stages. A detailed cost–benefit analysis is conducted to support a scenario analysis based on prospect theory. Then, a Stackelberg game model is constructed to describe the interactive relationship between the participants; using this model, an optimal ESS service strategy can be determined by resolving a simplified Stackelberg game problem. Our findings reveal that this model effectively mitigates long-term income risks for IESPs and substantially lowers initial investment costs for users by 21.93 % to 89.23 %, along with a reduction in lifecycle costs by 2.35 % to 17.12 % for users. A comprehensive analysis of six critical parameters indicates that the ESS lifetime, the disparity between peak and off-peak electricity prices, and power quality management performance exert the most significant influence on the total net benefits for all participants. The proposed model is expected to further the adoption of ESSs among industrial users.

Suggested Citation

  • Liao, Hong & Chen, Yunzhu & Zheng, Zixuan & Xiao, Xianyong & Zhang, Shu, 2025. "A two-stage business model for voltage sag sensitive industrial users employing energy storage systems," Applied Energy, Elsevier, vol. 379(C).
    • Handle: RePEc:eee:appene:v:379:y:2025:i:c:s0306261924023286
    DOI: 10.1016/j.apenergy.2024.124945
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    1. Mohamed, Ahmed & Rigo-Mariani, Rémy & Debusschere, Vincent & Pin, Lionel, 2023. "Stacked revenues for energy storage participating in energy and reserve markets with an optimal frequency regulation modeling," Applied Energy, Elsevier, vol. 350(C).
    2. Li, Qi & Xiao, Xukang & Pu, Yuchen & Luo, Shuyu & Liu, Hong & Chen, Weirong, 2023. "Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy," Applied Energy, Elsevier, vol. 349(C).
    3. Bao, Peng & Xu, Qingshan & Yang, Yongbiao, 2024. "Modeling and aggregated control of large-scale 5G base stations and backup energy storage systems towards secondary frequency support," Applied Energy, Elsevier, vol. 357(C).
    4. Matos, Catarina R. & Pereira da Silva, Patrícia & Carneiro, Júlio F., 2023. "Economic assessment for compressed air energy storage business model alternatives," Applied Energy, Elsevier, vol. 329(C).
    5. Turdybek, Balgynbek & Tostado-Véliz, Marcos & Mansouri, Seyed Amir & Rezaee Jordehi, Ahmad & Jurado, Francisco, 2024. "A local electricity market mechanism for flexibility provision in industrial parks involving Heterogenous flexible loads," Applied Energy, Elsevier, vol. 359(C).
    6. Algafri, Mohammed & Alghazi, Anas & Almoghathawi, Yasser & Saleh, Haitham & Al-Shareef, Khaled, 2024. "Smart City Charging Station allocation for electric vehicles using analytic hierarchy process and multiobjective goal-programming," Applied Energy, Elsevier, vol. 372(C).
    7. Ahmed Mohamed & Rémy Rigo-Mariani & Vincent Debusschere & Lionel Pin, 2023. "Stacked Revenues for Energy Storage Participating in Energy and Reserve Markets with an Optimal Frequency Regulation Modeling," Post-Print hal-04182119, HAL.
    8. Hartmann, Bálint & Divényi, Dániel & Vokony, István, 2018. "Evaluation of business possibilities of energy storage at commercial and industrial consumers – A case study," Applied Energy, Elsevier, vol. 222(C), pages 59-66.
    9. Gao, Jianwei & Wang, Yaping & Guo, Fengjia & Chen, Jiayi, 2024. "A two-stage decision framework for GIS-based site selection of wind-photovoltaic-hybrid energy storage project using LSGDM method," Renewable Energy, Elsevier, vol. 222(C).
    10. Rezaeimozafar, Mostafa & Monaghan, Rory F.D. & Barrett, Enda & Duffy, Maeve, 2022. "A review of behind-the-meter energy storage systems in smart grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    11. Sun, Chuyu & Zhao, Xiaoli & Qi, Binbin & Xiao, Weihao & Zhang, Hongjun, 2022. "Economic and environmental analysis of coupled PV-energy storage-charging station considering location and scale," Applied Energy, Elsevier, vol. 328(C).
    12. Zare Oskouei, Morteza & Gharehpetian, Gevork B., 2024. "Flexibility enhancement of multi-district DISCOs considering a trade-off between congestion and extractable reserve capacity from virtual energy storage systems," Applied Energy, Elsevier, vol. 353(PB).
    Full references (including those not matched with items on IDEAS)

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