Kalyanasundaram, R.

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 Eindhoven University of TechnologyMASTERDesign Planning of Charging Infrastructure Using an Agent-Based Digital TwinKalyanasundaram, R.Award date:2023Link to publicationDisclaimerThis document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Studenttheses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the documentas presented in the repository. The required complexity or quality of research of student theses may vary by program, and the requiredminimum study period may vary in duration.General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.            • Users may download and print one copy of any publication from the public portal for the purpose of private study or research.            • You may not further distribute the material or use it for any profit-making activity or commercial gainDesign Planning of ChargingInfrastructure Using an Agent-BasedDigital TwinName Student ID Study ResearchsectionR.Kalyanasundaram 1601776 AutomotiveTechnologyControl SystemsTechnologySupervisors -TU/eDr.Ir.Theo HofmanJuan Pablo BertucciAdvisory - TNOIr. Robert KoffrieYear of Graduation2023Study Load45 ECTSThis report is confidential and will not be publicly available for 2 years. February 21, 2020   Declaration concerning the TU/e Code of Scientific Conduct  I have read the TU/e Code of Scientific Conducti.  In carrying out research, design and educational activities, I shall observe the five central values of scientific integrity, namely: trustworthiness, intellectual honesty, openness, independence and societal responsibility, as well as the norms and principles which follow from them.   Date  …………………………………………………..…………..  Name  …………………………………………………..…………..  ID-number  …………………………………………………..…………..  Signature    …………………………………………………..…………..         Submit the signed declaration to the student administration of your department.          i See: https://www.tue.nl/en/our-university/about-the-university/organization/integrity/scientific-integrity/ The Netherlands Code of Conduct for Scientific Integrity, endorsed by 6 umbrella organizations, including the VSNU, can be found here also. More information about scientific integrity is published on the websites of TU/e and VSNU   17/01/2023Ramakrishnan Kalyanasundaram1601776ABSTRACT:  This paper concerns the design planning of charging infrastructure for electric distribution trucks by modeling an agent-based simulation model otherwise known as an agent- based digital twin. Due to the stochastic design variables such as the number of trucks in a fleet, the number of charge points, the capacity of Battery Energy Storage (BES), and grid capacity being involved in the model, Monte Carlo experiments are performed to estimate the probable outcomes while varying the design variables. In particular, we first start with building an agent-based digital twin with the inputs and requirements obtained from the stakeholders namely Albert Heijn (AH), TNO, and Heliox. Secondly, we perform three different Monte Carlo experiments to predict the waiting time of the trucks to charge, BES capacity, and power curves while varying the design variables within specific bounds. The novelty of this paper lies in predicting the outcomes of different scenarios by varying the design variables using an agent-based digital twin. Our results show that for a fleet of 50 e-trucks at a charging station at least 9x180 kW charge points are required to keep the waiting time less than 10 minutes. Secondly, utilizing a stationary BES at the charging station can buffer the energy flow between an electric vehicle and the grid, lowering the maximum necessary grid power. 

Design Planning of Charging Infrastructure Using an Agent-Based Digital Twin

https://pure.tue.nl/ws/files/282440687/1601776_Public_version_master_thesis.pdf

Design Planning of Charging Infrastructure Using an Agent-Based Digital Twin

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