15,099 research outputs found

    Modelling of Distributed Energy Components and Optimization of Energy Vector Dispatch within Smart Energy Systems

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    The smart energy system concept provides an integrated framework for the adoption of renewable energy resources and novel energy technologies, such as distributed battery energy storage systems and electric vehicles. In this effort, large-scale transition towards smart energy systems can significantly reduce the environmental emissions of energy production, while leveraging the compatible operation of numerous distributed grid components to improve upon the energy utility, reliability, and flexibility of existing power grids. Most importantly, transitioning from fossil fuels to renewable energy resources provides environmental benefits within both the building and transportation sectors, which must adapt to address both increasing pressure from international climate change-related policy-making, as well as to meet the increasing power demands of future generations. In the case of building operation, the transition towards future energy systems consequently result in the adoption of decentralized energy networks as well as various distributed energy generation, conversion, and storage technologies. As such, there is significant potential for existing systems to adopt more economic and efficient operating strategies, which may manifest in novel operational modes such as demand-response programs, islanded operation, and optimized energy vector dispatch within local systems. Furthermore, new planning and design considerations can provide economic, environmental, and energy efficiency benefits. While these potential benefits have been justified in existing literature, there is still a strong research need to quantify the impacts of optimal building operation within these criteria, under a smart energy system context. Meanwhile, the transportation sector may benefit from the smart energy network concept by leveraging electric mobility technologies and by transitioning vehicle charging demand onto the grid’s electricity network. In this transition, the emissions associated with fossil fuel consumption are displaced by grid-generated electricity, much of which may be derived from zero-emission resources in systems containing high renewable generation capacities. While small electric vehicle fleets have currently been successfully integrated into the grid, higher market penetration rates of electric vehicles demand significantly more charging infrastructure. In consideration of the consequences of various electric vehicle charging modes resulting from large-scale mobility electrification, there is a gap in the literature for the planning and design of charging infrastructure for facilitating interactions between electric vehicle fleets and future smart energy network systems. Within the work presented in this thesis, quantitative analysis has been presented for the potential for optimal building operation between complementary commercial and residential building types. From this, the economic and environmental benefits of applying the principles of smart energy systems within mixed residential and commercial hubs have been evaluated at reductions of 61.2% and 1.29%, respectively, under the context of an Ontario, Canada case study. Furthermore, reduced installation of local energy storage systems and consumption of grid-derived electricity were reduced by 6.7% and 13.8%, respectively, in comparison against base case scenarios in which buildings were operated independent of the proposed microgrid configuration. Meanwhile, the investigative work for the role of charging infrastructure in electric vehicle integration within smart energy systems provided insight into the power flow characteristics required to facilitate advanced electric vehicle charging modes. Most importantly, the work demonstrated limitations to the controlled/smart charging and the vehicle-to-grid charging modes imposed by charging port availability, electric vehicle plug-in durations, and maximum power flow characteristics. These results have highlighted the need for charging infrastructure to emulate the availability and fast response characteristics of stationary energy storage systems for successful vehicle-to-grid implementation, as well as the need for maximum power flow limitations for charging infrastructure to be well above the current level 2 standard for home- and workplace-charging

    Integrating Vehicle-to-Grid Technologies in Autonomous Electric Vehicle Systems

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    Electrochemical Vehicle-to-Grid (V2G) technologies in autonomous electric vehicles (EVs) offer immense potential to revolutionize energy management and optimize the utilization of EVs. By enabling bidirectional energy flow between EVs and the electric grid, V2G allows EVs not only to consume electricity but also to contribute power back to the grid when necessary. When combined with autonomous capabilities, V2G can provide even greater benefits and flexibility. This research abstract highlights key points concerning V2G technologies in autonomous EVs. Firstly, autonomous EVs equipped with V2G technology can function as mobile energy storage units, aiding in grid stabilization and balancing high electricity demand. Secondly, V2G-enabled autonomous EVs can participate in demand response programs, optimizing charging schedules to off-peak hours and reducing strain on the grid during peak demand. Moreover, V2G facilitates the integration of renewable energy sources by allowing autonomous EVs to store and inject excess renewable energy into the grid when needed. Furthermore, V2G-enabled autonomous EVs act as backup power sources during emergencies or power outages, ensuring uninterrupted electricity supply to critical infrastructure. By participating in V2G programs, autonomous EV owners can generate revenue by selling stored energy to the grid and providing grid services, offsetting EV ownership costs. Additionally, autonomous EVs with V2G technology can intelligently manage their charging and discharging based on factors like electricity prices, grid demand, and user preferences, thereby optimizing energy usage and reducing charging costs. While the widespread adoption of V2G technologies in autonomous EVs hinges on infrastructure development, standardization, regulatory frameworks, and user acceptance, their integration is poised to play a significant role in future sustainable energy and transportation systems. As autonomous and electric vehicle technologies continue to evolve, V2G capabilities hold tremendous promise in transforming energy management, promoting grid reliability, and maximizing the benefits of EVs for both consumers and the grid

    The concept of energy traceability: Application to EV electricity charging by Res

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    The energy sustainability, in the era of sources diversification , can be guaranteed by an energy resources utilization most correct, foreseeing no predominance of one source over the others in any area of the world but a proper energy mix, based on locally available resources and needs. In this scenario, manageable with a smart grid system, a virtuous use of RES must be visible, recognizable and quantifiable, in one word traceable. The innovation of the traceability concept consists in the possibility of having information concerning the exact origin of the electricity used for a specific end use, in this case EV charging . The traceability, in a context of increasingly sustainability and smartness city, is an important develop tool because only in this way it is possible to quantify the real emissions produced by EVs and to ensure the real foresight of grid load. This paper wants investigate the real ways to introduce this kind of real energy accounting, through the traceabilit

    Smart Procurement Of Naturally Generated Energy (SPONGE) for PHEV's

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    In this paper we propose a new engine management system for hybrid vehicles to enable energy providers and car manufacturers to provide new services. Energy forecasts are used to collaboratively orchestrate the behaviour of engine management systems of a fleet of PHEV's to absorb oncoming energy in an smart manner. Cooperative algorithms are suggested to manage the energy absorption in an optimal manner for a fleet of vehicles, and the mobility simulator SUMO is used to show simple simulations to support the efficacy of the proposed idea.Comment: Updated typos with respect to previous versio

    The Value of Vehicle-to-Grid Systems in the Clean Energy Transition: Policy and Regulatory Issues

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    As the United States transitions to clean energy, advances in technology are making such a transition possible by enabling utility-scale renewable energy generation (primarily wind and solar) and transportation electrification. However, the growth in renewable energy generation and electric vehicles (EVs) has created new reliability issues for the electric grid due to the intermittent nature of solar and wind power and increased load on the grid from EV charging. New methods and tools are needed to balance energy supply and demand. One such tool is the vehicle-to-grid (V2G) system, which uses EV batteries to help balance the grid, providing additional value beyond transportation and contributing to the clean energy transition. This article advocates for the use of V2G at scale and surveys the policy, technology, and regulatory issues involved in making it successful. Part I argues that V2G should be used as part of the clean energy transition to address renewable generation reliability issues, reduce the grid strain caused by increased EV charging, and expand storage resources for the electric grid. Part II explains how several technology and infrastructure barriers to V2G viability have been reduced or eliminated and discusses issues that still require resolution. Part III makes policy and regulatory recommendations for integrating V2G into grids operating in vertically integrated, monopoly markets or in restructured markets and for resolving two issues central to V2G grid integration: ownership and compensation
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