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Battery Swapping Station Service in a Smart Microgrid: A Multi-Method Simulation Performance Analysis

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  • Maria Grazia Marchesano

    (Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli Federico II, Piazzale V. Tecchio 80, 80125 Napoli, Italy)

  • Guido Guizzi

    (Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli Federico II, Piazzale V. Tecchio 80, 80125 Napoli, Italy)

  • Silvestro Vespoli

    (Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli Federico II, Piazzale V. Tecchio 80, 80125 Napoli, Italy)

  • Gabriella Ferruzzi

    (ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

Abstract

The integration of Battery Swapping Stations (BSSs) into smart microgrids presents an opportunity to optimize energy generation, storage, and consumption. However, there exists a gap in the literature regarding the detailed analysis of the profitability of integrating a BSS within a smart microgrid, particularly utilizing second-life batteries for storage and renewable energy sources for generation. This study aims to address this gap by employing a multi-method simulation approach to thoroughly investigate the economic viability of such integration. The simulation model developed for this study is a digital twin of the microgrid, incorporating components such as the BSS, renewable energy sources (wind and photovoltaic), second-life battery storage, and utilities. By optimizing energy flows within this model, considering the cost-effectiveness of diverse generation sources and prioritizing the utilization of renewable energy, we aim to provide a comprehensive assessment of the economic benefits. Furthermore, the simulation takes into account crucial factors including battery swapping operations, warehouse management, and battery charging scheduling. The profitability analysis undertaken in this study is grounded in the objective of minimizing total costs while effectively meeting the energy demands of residential loads. Ultimately, the integration of the BSS into the smart microgrid not only targets economic efficiency but also strives to maximize the utilization of second-life batteries, contributing to the concept of a circular economy.

Suggested Citation

  • Maria Grazia Marchesano & Guido Guizzi & Silvestro Vespoli & Gabriella Ferruzzi, 2023. "Battery Swapping Station Service in a Smart Microgrid: A Multi-Method Simulation Performance Analysis," Energies, MDPI, vol. 16(18), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6576-:d:1238460
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    References listed on IDEAS

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    1. Yan, Jie & Menghwar, Mohan & Asghar, Ehtisham & Kumar Panjwani, Manoj & Liu, Yongqian, 2019. "Real-time energy management for a smart-community microgrid with battery swapping and renewables," Applied Energy, Elsevier, vol. 238(C), pages 180-194.
    2. Yang, Jun & Guo, Fang & Zhang, Min, 2017. "Optimal planning of swapping/charging station network with customer satisfaction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 174-197.
    3. Li, Yang & Yang, Zhen & Li, Guoqing & Mu, Yunfei & Zhao, Dongbo & Chen, Chen & Shen, Bo, 2018. "Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing," Applied Energy, Elsevier, vol. 232(C), pages 54-68.
    4. Liu, Zifa & Chen, Yixiao & Zhuo, Ranqun & Jia, Hongjie, 2018. "Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling," Applied Energy, Elsevier, vol. 210(C), pages 1113-1125.
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    Cited by:

    1. Gull, Muhammad Shuzub & Khalid, Muhammad & Arshad, Naveed, 2024. "Multi-objective optimization of battery swapping station to power up mobile and stationary loads," Applied Energy, Elsevier, vol. 374(C).

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