A Model for Electrifying Fire Ambulance Service Stations Considering Practical Service Data and Charging Strategies

Yih-Her Yan, Rong-Ceng Leou () and Chien-Chin Ko
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Yih-Her Yan: Department of Electrical Engineering, National Formosa University, Yunlin County 632, Taiwan
Rong-Ceng Leou: Department of Electrical Engineering, National Formosa University, Yunlin County 632, Taiwan
Chien-Chin Ko: Mituo Branch of Fire Bureau, Kaohsiung City Government, Kaohsiung 833, Taiwan

Energies, 2024, vol. 17, issue 6, 1-13

Abstract: Due to concerns with air pollution and climate change, governments and transport operators around the world have engaged in transforming their fossil-fueled vehicles into electric vehicles (EVs). It is essential to build a model for the electrifying process to minimize the operation costs. This paper presents a systematic analytical approach for the electrification of a fire ambulance service station. This approach begins with the selection of suitable EVs to replace the current service vehicles. Subsequently, an in-depth analysis is conducted to determine the practical utilization of EVs at the station. The model proposes two charging strategies: immediate charging upon an EVs’ return and smart charging. Based on the chosen EVs and charging strategies, a comprehensive assessment of the load profiles for the planned EV charging station is performed. In accordance with the load profiles, a mathematical model to minimize the infrastructure and operation costs of the charging station is proposed. Various pricing schemes are compared to identify the most efficient pricing scheme for the charging station, and economic analyses of the EVs and traditional ambulance vehicles are proposed in this paper. The test results indicate that the progressive pricing scheme is well suited for immediate charging strategies, whereas smart charging should opt for the time-of-use pricing scheme. Selecting the appropriate pricing scheme has the potential to significantly reduce electric energy costs.

Keywords: electric vehicles; fire ambulance service station; pricing schemes; economic analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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