Analytical Size Estimation Methodologies for Electrified Transportation Fueling Infrastructures Using Public–Domain Market Data

作者: Nader A. El-Taweel , Hadi Khani , Hany E. Z. Farag

DOI: 10.1109/TTE.2019.2927802

关键词:

摘要: The proliferation of electrified transportation systems is envisioned as a promising solution that could significantly contribute to the reduction environmental pollution. Deployment properly sized fueling stations contemplated critical step set stage for electrification. While several optimization-based sizing models are presented in literature, analytical estimate size infrastructures missing from prior studies. Such can readily be developed at backend globally accessible websites or software applications since they do not require any optimization solver. In such case, public-domain data, market prices demand, everywhere around world inputted model, and various parameters related each location returned user. To end, this paper presents new methodologies application estimation electric hydrogen-based two major foundations transportation. ratings components expressed terms system operation percentage using proposed formulation, desired selected which net profit reaches maximum point. Historical data real-world utilized numerical evaluation formulation. addition, error model analyzed compared with artificial intelligence-based validation purposes.

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