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Author: Muhammad Aziz

Affiliation: Tokyo Institute of Technology, Japan

Keyword(s): Electric Vehicle, Charging Behaviour, Vehicle to Grid, Energy Management System.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Energy Management Systems (EMS) ; Energy-Aware Systems and Technologies

Abstract: Integration of electric vehicle (EV) to support a small-scale energy management system (EMS) was demonstrated and studied. Initially, charging and discharging behaviours of electric vehicle in different seasons were evaluated to clarify the impact of surrounding temperature to charging and discharging rates. It was found that charging and discharging during summer results in higher rates than ones during winter. In addition, the integration of EVs to small-scale EMS (office) for peak-load shifting showed a very positive effect. Discharging of EVs during noon’s peak load can cut and shift the load. Therefore, higher contracted capacity of electricity can be avoided leading to lower total electricity cost.

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Paper citation in several formats:
Aziz, M. (2017). Charging/Discharging Behaviors and Integration of Electric Vehicle to Small-Scale Energy Management System. In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-241-7; ISSN 2184-4968, SciTePress, pages 346-351. DOI: 10.5220/0006377303460351

@conference{smartgreens17,
author={Muhammad Aziz.},
title={Charging/Discharging Behaviors and Integration of Electric Vehicle to Small-Scale Energy Management System},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2017},
pages={346-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006377303460351},
isbn={978-989-758-241-7},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Charging/Discharging Behaviors and Integration of Electric Vehicle to Small-Scale Energy Management System
SN - 978-989-758-241-7
IS - 2184-4968
AU - Aziz, M.
PY - 2017
SP - 346
EP - 351
DO - 10.5220/0006377303460351
PB - SciTePress