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Charging of electric vehicles at commercial buildings

Marmaras, Charalampos 2017. Charging of electric vehicles at commercial buildings. PhD Thesis, Cardiff University.
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The objective of this thesis was to investigate the feasibility of EV charging management for reducing the electricity cost of commercial buildings. A predictive model was developed to assist the commercial building manager reduce its energy bills by predicting the “triad” peak dates and the building’s energy demand. Real weather data were analysed and considered to increase the accuracy of the forecast. The model was evaluated using real “triad” peak, weather and energy consumption data from a commercial building facility in Manchester. To enable the building manager reduce the EV charging costs, a charging control algorithm was developed and its impact on the demand profile and daily electricity cost of a commercial building facility were studied. The predictive model and the charging control algorithm were integrated into a cloud-based Local Energy Management System (LEMS) for the aggregation and flexible demand management of buildings, energy storage units and EVs. The operation of the LEMS was demonstrated through simulation scenarios using real data from a commercial building facility in Manchester. To fully understand the EV integration consequences, the behaviour of the EV drivers and its impact on the road transport and electric power system has been studied. A multi-agent simulation model was developed to simulate the charging and routing behaviour of the EV drivers. The EV drivers were simulated as autonomous agents in a complex environment consisted of an electric power and road transport network. Different behavioural profiles were considered to describe the way an EV driver deals with the everyday challenges.

Item Type: Thesis (PhD)
Date Type: Completion
Status: Unpublished
Schools: Engineering
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords: electric vehicles; smart charging; commercial building; energy management system; simulation model; scheduling algorithm.
Date of First Compliant Deposit: 9 May 2017
Last Modified: 20 Apr 2021 09:52

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