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


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2019-09-01


    Size :

    2514298 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    NVH Methodologies for Electrified Drive Unit Development

    Ford, Alex / Tomazic, Dean / Pruetz, Jeff et al. | SAE Technical Papers | 2021


    LNG Fueling for Transportation: The Next Generation of LNG Fueling Stations

    Trusler, N. J. / Meratla, Zoher | SAE Technical Papers | 1997



    Power Quality in Electrified Transportation Systems

    Mariscotti, Andrea ;Sandrolini, Leonardo | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2022

    Free access

    Making the Case for Electrified Transportation

    Bilgin, Berker / Magne, Pierre / Malysz, Pawel et al. | IEEE | 2015