Development of Smart Charging Strategies for Electric Vehicles in a Campus Area

Yağcıtekin, Bünyamin; Uzunoğlu, Mehmet; Ocal, Birol; Turan, Eren; Tunç, Ahmet

doi:10.1109/ems.2013.73

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…For instance, researchers of Soochow University proposed to use in their campus an automatic gate access system and diverse services for smart parking, bus positioning or for renting bicycles [68]. Similar services have been suggested by other universities for providing a smart parking service [73], electric mobility [74,75], smart electric charging [76], the use of autonomous vehicles [77], or for locating the campus buses [78,79]. • Smart energy and smart grid monitoring.…”

Section: Smart Campus and University Applicationsmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

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Section: Smart Campus and University Applicationsmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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“…Floyd Algorithm is shown in Eq. (1) [33]. A shortest way from v to v 0 including the vertex N is considered, which comprises of a subway from v to N and a .…”

Section: Formulation Of the Optimization Problemmentioning

confidence: 99%

“…Standard power flow is given by Eq. (16) [33]. Also, the minimization of power loses and system power demand minimum power loss is guaranteed with a specific equation considering following equations; the power loses of distribution system are computed from Newton-Rapson power flow outputs, the power flow from bus h to h + 1 is obtained from Eq.…”

Section: Formulation Of the Optimization Problemmentioning

confidence: 99%

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A double-layer smart charging strategy of electric vehicles taking routing and charge scheduling into account

Yağcıtekin

Uzunoğlu

2016

Applied Energy

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“…For instance, in [71] researchers of Soochow University (China) propose the deployment of different smart mobility applications for their campuses, which include automatic vehicle access systems, a parking guidance service, a bus tracking system, or a bicycle rental service. Other authors also proposed similar solutions for providing campus services for smart parking [72], electric mobility [73,74], smart electric charging [75], the use of autonomous vehicles [76] or bus tracking [77]. Smart energy and smart grid monitoring.…”

Section: Related Workmentioning

confidence: 99%

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

Fraga‐Lamas

Celaya-Echarri

López-Iturri

et al. 2019

Sensors

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A smart campus is an intelligent infrastructure where smart sensors and actuators collaborate to collect information and interact with the machines, tools, and users of a university campus. As in a smart city, a smart campus represents a challenging scenario for Internet of Things (IoT) networks, especially in terms of cost, coverage, availability, latency, power consumption, and scalability. The technologies employed so far to cope with such a scenario are not yet able to manage simultaneously all the previously mentioned demanding requirements. Nevertheless, recent paradigms such as fog computing, which extends cloud computing to the edge of a network, make possible low-latency and location-aware IoT applications. Moreover, technologies such as Low-Power Wide-Area Networks (LPWANs) have emerged as a promising solution to provide low-cost and low-power consumption connectivity to nodes spread throughout a wide area. Specifically, the Long-Range Wide-Area Network (LoRaWAN) standard is one of the most recent developments, receiving attention both from industry and academia. In this article, the use of a LoRaWAN fog computing-based architecture is proposed for providing connectivity to IoT nodes deployed in a campus of the University of A Coruña (UDC), Spain. To validate the proposed system, the smart campus has been recreated realistically through an in-house developed 3D Ray-Launching radio-planning simulator that is able to take into consideration even small details, such as traffic lights, vehicles, people, buildings, urban furniture, or vegetation. The developed tool can provide accurate radio propagation estimations within the smart campus scenario in terms of coverage, capacity, and energy efficiency of the network. The results obtained with the planning simulator can then be compared with empirical measurements to assess the operating conditions and the system accuracy. Specifically, this article presents experiments that show the accurate results obtained by the planning simulator in the largest scenario ever built for it (a campus that covers an area of 26,000 m 2 ), which are corroborated with empirical measurements. Then, how the tool can be used to design the deployment of LoRaWAN infrastructure for three smart campus outdoor applications is explained: a mobility pattern detection system, a smart irrigation solution, and a smart traffic-monitoring deployment. Consequently, the presented results provide guidelines to smart campus designers and developers, and for easing LoRaWAN network deployment and research in other smart campuses and large environments such as smart cities.

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Development of Smart Charging Strategies for Electric Vehicles in a Campus Area

Cited by 5 publications

References 9 publications

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

A double-layer smart charging strategy of electric vehicles taking routing and charge scheduling into account

Design and Experimental Validation of a LoRaWAN Fog Computing Based Architecture for IoT Enabled Smart Campus Applications

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