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Optimal analysis for facility configuration and energy management on electric light commercial vehicle charging

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  • Tang, Yanyan
  • Zhang, Qi
  • Wen, Zongguo
  • Bunn, Derek
  • Martin, Jesus Nieto

Abstract

Whilst the widespread adoption of electric vans is necessary to improve urban air quality and reduce carbon emissions, it is also self-evident that adequate charging stations are a precondition. However, the investment case for basic charging stations without public subsidies is challenging. In the context of a London case study, four business models are compared, which integrate solar power generation and new/second-life battery storage system with the basic charging facilities. Considering the uncertainties of electricity tariff and solar generation, the optimal infrastructure investment and operational planning has been formulated as a two-stage stochastic optimization model. The results show that: (i) in the integrated business models, the return on investment and charger installations could be increased by up to 5.39% and 17.06% respectively, and the carbon intensity could be reduced by up to 8.13%; (ii) the nondiscriminatory grant annualized as 50 £ is not sufficient, and a differentiated government subsidy policy may be more conducive to achieving a positive return on investment, such as 50 £ for fast chargers and 100 £ for rapid chargers; (iii) in the integrated business models, fast chargers undertake more vehicle-to-grid electricity exchange with the pattern adoption rate increased by up to 52.38%, while rapid chargers mainly ensure the timely charging completion with the usage frequency increased by up to 2.82%.

Suggested Citation

  • Tang, Yanyan & Zhang, Qi & Wen, Zongguo & Bunn, Derek & Martin, Jesus Nieto, 2022. "Optimal analysis for facility configuration and energy management on electric light commercial vehicle charging," Energy, Elsevier, vol. 246(C).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222002663
    DOI: 10.1016/j.energy.2022.123363
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