Evaluation Approach for Smart Charging Ecosystem – with Focus on Automated Data Collection and Indicator Calculations
Natvig, Marit Kjøsnes; Jiang, Shanshan; Hallsteinsen, Svein Olav; Venticinque, Salvatore; Sard, Regina Enrich
Chapter, Peer reviewed
Submitted version
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https://hdl.handle.net/11250/2990826Utgivelsesdato
2021Metadata
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Originalversjon
Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1 10.1007/978-3-030-75078-7_65Sammendrag
Access to charging is a prerequisite for the transition to electric mobility. There are however challenges related to charging and charging infrastructures, e.g., charging availability, grid capacity during peak hours, and the CO2 intensity of the energy mix provided. This paper suggests measures to be taken in a smart charging ecosystem to mitigate the challenges. The impact of the measures must however be evaluated. The objective of the paper is to suggest an evaluation approach, with focus on quantitative aspects. The measures of relevance, the associated indicators for the impact evaluation, and an overview of the research data needed is provided. In addition, data content examples and calculation details are described for two indicators – the charging flexibility provided by the EV users and the peak to average ratio characterising the load balancing. Scenarios to be evaluated and how simulations are used to complement the evaluation of the demonstrators are addressed.