Performance evaluation of integrated smart energy solutions through large-scale simulations

Song, Terence; Kaleshi, Dritan; Zhou, Ran; Boudeville, Olivier; Ma, Jing-Xuan; Pelletier, Aude; Haddadi, Idir

doi:10.1109/smartgridcomm.2011.6102351

Cited by 12 publications

(11 citation statements)

References 3 publications

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“…practically offers limitless possibilities to connect to and interact with any fixed or mobile physical object if it holds a minimal digital compatible interface. Moreover, from another perspective, IoT allows the interconnection of physical, digital and virtual worlds (Vermesan and Friess, 2016, Song et al, 2017). Therefore, most smart cities are based on IoT technology and managed by Cloud, Fog, or other specific platforms, e.g.…”

Section: Networkmentioning

confidence: 99%

Questioning if Macro-Systemic Top-Down Approaches Should Be Used to Develop Smart Cities of the Future

Vasile¹,

Mocan²

2019

JAST

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Cities differ greatly from one to another, even if they serve the same essential purposes. Moreover, they should collaborate at all levels for producing synergistic effects, therefore, their major smart solutions should be standardized or at least compatible, whilst adapted to the local contexts. Cities are systems of systems and contain a large variety of components, each of them presenting different characteristics. Given the vast range of technological choices and the unforgiving overall pressure, governors struggle to implement best specific smart solutions for their cities, by usually adopting bottom-up methods, thus, endangering future possible compatibilities with other local or international systems. This research stresses the importance of top-down smart city deployments, by acknowledging also the local specificities. It investigates the status of relevant international contributions, questioning what kind of approaches should be applied by public administrations. The results point out to complex challenges that exist by revealing the status of standardization proceedings, the authors' perspective on the enabling technologies and their dimensions, as well as a related case study concerning a local community of Romania so as to bring the beforementioned issues to light. The main objective of this research is to highlight the associated problematics and draw attention to the urgent need of a new macro-systemic top-down attitude for developing smart cities.

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Section: Networkmentioning

confidence: 99%

Questioning if Macro-Systemic Top-Down Approaches Should Be Used to Develop Smart Cities of the Future

Vasile¹,

Mocan²

2019

JAST

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“…A similar scenario is also described in [8] where the authors consider a dynamic price simulator that takes into account live (residential) renewable energy sources, weather forecast and energy distribution load profiles. In [9] the authors utilize the CLEVER simulator to address a "what-if" analysis of smart metering and smartgrid systems in a large-scale urban scenario. Most of the cosimulation approaches described so far are based on monolithic simulation tools (e.g.…”

Section: A Models and Tools For Smart Grid Simulationmentioning

confidence: 99%

“…Developing a simulation platform modeling all possible scenarios and capturing all the system dynamics involved (including, for instance, dynamic energy pricing, impact of renewable sources, etc.) is a highly challenging task and it is far away from being addressed by the existing tools [1][2][3][4][5][6][7][8][9][10][11]. Therefore we restrict our focus on Electric Mobility (EM) scenarios, and we propose here a tool that allows the modeling of mobility, communication and coordination of EVs on large-scale, realistic urban environments.…”

Section: The Electric Mobility (Em) Scenariomentioning

confidence: 99%

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An Integrated Simulation Framework to Model Electric Vehicle Operations and Services

Bedogni

Bononi

Felice

et al. 2016

IEEE Trans. Veh. Technol.

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At present, battery charging operations constitute one of the most critical obstacles toward a large-scale uptake of Electric Mobility (EM), due to performance issues and implementation complexities. Although several solutions based on the utilization of Information and Communication Technologies (ICTs) and on mobile applications have been investigated to assist the Electric Vehicles (EVs) drivers and to coordinate the charging operations, there is still the problem of how to evaluate and validate such solutions on realistic scenarios, due to the lack of accurate simulators integrating vehicular mobility, wireless communication and battery charging/discharging models. In this paper, we attempt to fill this gap, by proposing a novel EV simulation platform that can assist the pre-deployment of charging infrastructures and services on realistic, large-scale EM scenarios. The simulation platform, realized within the ARTEMIS EU project "Internet of Energy for Electric Mobility" (IoE), supports two utilization modes, i.e. evaluation of EM scenarios and immersive emulation of EM-related mobile applications, thanks to a semantic architecture through which virtual and real components can be integrated in a seamless way. We provide three major contributions with respect to the state of the art. First, we extend the existing co-simulation platform composed by SUMO (vehicular traffic simulator) and OMNET++ (network simulator) with realistic models of EVs, EVSEs and ontology-based communication protocols that enable the deployment of city-wide mobile services (e.g. charging reservation). Second, we validate the battery model against the consumptions data of target EVs, and we evaluate the operations of EVs on a large-scale scenario (the city of Bologna), by analyzing the effectiveness of the charging reservation process and the resulting impact to the smart grid. Finally, we introduce the Mobile Application Zoo (MAZ), a sandbox through which EM-related mobile applications can be seamlessly integrated within the simulation platform in order to be validated on virtual environments before their deployment on real scenarios, and we describe the implementation of an Android app for battery monitoring and charging reservation. , IEEE Transactions on Vehicular Technology 2 mechanical transmissions, etc). Similarly, battery models have been extensively investigated to compute the discharging of the battery over time, and to reproduce EV dynamics in an accurate way [15][16] [17]. However, none of these tools can be used to study complex dynamics of EM scenarios (like the impact of EVs to the smart grid, or the effectiveness of charging reservation policies), where it is required to model several interacting entities characterized by different time-scale behaviors (i.e. EVs, EVSEs, the electrical grid, the communication network). To this aim, the most pioneering works are [22][23] [24]. The main contribution of this paper is the design and implementation of an integrated framework to perform large-scale simulations of Electric Mobility...

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“…Therefore, the communication method used for a smart metering system needs to provide two-way communication. Moreover, in order to monitor real time power consumption, it is also necessary to shorten the time required for data collection [2].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Data Collection Capability in a Large-Scale Smart Metering System Based on Receiver-Driven Multihop Communication

Sugano¹,

Shimizu²,

Wakamiya³

2014

JACN

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Performance evaluation of integrated smart energy solutions through large-scale simulations

Cited by 12 publications

References 3 publications

Questioning if Macro-Systemic Top-Down Approaches Should Be Used to Develop Smart Cities of the Future

Questioning if Macro-Systemic Top-Down Approaches Should Be Used to Develop Smart Cities of the Future

An Integrated Simulation Framework to Model Electric Vehicle Operations and Services

Evaluation of Data Collection Capability in a Large-Scale Smart Metering System Based on Receiver-Driven Multihop Communication

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