Abstract
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.
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Acknowledgments
Authors of this paper, on behalf of GreenCharge consortium, acknowledge the European Union and the Horizon 2020 Research and Innovation Framework Programme for funding the project (grant agreement no. 769016). The authors would like to thank all project partners for technical work related to evaluation and project management.
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Natvig, M.K., Jiang, S., Hallsteinsen, S., Venticinque, S., Enrich Sard, R. (2021). Evaluation Approach for Smart Charging Ecosystem – with Focus on Automated Data Collection and Indicator Calculations. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-030-75078-7_65
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DOI: https://doi.org/10.1007/978-3-030-75078-7_65
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