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Harnessing the power of electric taxis: A data-driven exploration of V2G potential in taxi service areas

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  • Ma, Chuanqi
  • Pei, Mingyang
  • Cai, Ming
  • Zhong, Lingshu
  • Fu, Xiao

Abstract

Electric taxis (ETs) operating daily in urban areas can bring huge vehicle-to-grid (V2G) potential. However, previous studies often ignore the needs of electric taxi owners when assessing this potential. This work focuses on ETs, a high-usage group with significant implications for urban energy management, to assess their V2G potential. We construct an ET driving behavior model and a taxi service area probability assessment model, comprehensively considering the influence of service area location, capacity, and accessibility on V2G potential. An improved Monte Carlo algorithm, combining actual operational data with random variables, is employed to evaluate V2G potential. Using operational data from Guangzhou, China, our findings indicate that the maximum peak V2G potential can reach approximately 6500 kW. These insights provide practical recommendations for enhancing V2G implementation with electric taxis, offering a novel and comprehensive approach that integrates service area dynamics and real-world operational data.

Suggested Citation

  • Ma, Chuanqi & Pei, Mingyang & Cai, Ming & Zhong, Lingshu & Fu, Xiao, 2025. "Harnessing the power of electric taxis: A data-driven exploration of V2G potential in taxi service areas," Energy, Elsevier, vol. 324(C).
    • Handle: RePEc:eee:energy:v:324:y:2025:i:c:s0360544225016391
    DOI: 10.1016/j.energy.2025.135997
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