Value creation in electric vehicle charging networks

Electric vehicles (EV) are gaining a prominent share of the trillion-dollar automotive market. The growth is fueled by falling battery prices, tightening emission standards, government subsidies and increasing competition. The rise of EV’s creates a need for, and also depends on, charging infrastructure on a large scale. Electric vehicle charging networks are services that are used to manage and enable access to charging points. This study aims to understand how these networks can succeed in the tightening competition by examining what factors contribute to the value of an EV charging network for its participants. To reach this goal an explanatory single case study was conducted. The case examined a public EV charging network in Finland. First, earlier research in platform economics and EV charging were used to understand the context and to synthesize a theoretical framework. Next, empirical data was collected primarily with semi-structured interviews. Finally, pattern matching was used to analyze the data. Based on the results, the EV charging industry is still its infancy. EV charging networks mediate transactions between EV drivers and charging point owners (CPO), enabling exchange of information, control of charging points, and payments. Various signals suggest an expansion towards the energy system, as EV charging networks are likely to start aggregating and mediating vehicle-to-grid (V2G) services between EV drivers and energy market agents. The results suggest two focus areas as key factors creating value for participants. Firstly, the main contributor to the success of an EV charging network is the amount of charging points connected to it. This is mainly due to EV drivers’ strong positive cross-side network effects and to CPOs’ strong positive same-side network effects. Secondly, an EV charging network’s boundary resources should be designed to maximize efficiency for both sides. For EV drivers, charging is a mundane task that needs to be as effortless as possible. For CPO’s, offering charging is not a main business, but a relatively small value-added service. This study serves as a starting point for a new research stream, converging EV charging with platform economics research. In addition, the results help researchers in understanding the state of the industry and network operators in making strategic decisions

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

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

Optimizing plug-in electric vehicle charging in interaction with a small office building

This paper considers the integration of plug-in electric vehicles (PEVs) in micro-grids. Extending a theoretical framework for mobile storage connection, the economic analysis here turns to the interactions of commuters and their driving behavior with office buildings. An illustrative example for a real office building is reported. The chosen system includes solar thermal, photovoltaic, combined heat and power generation as well as an array of plug-in electric vehicles with a combined aggregated capaci-ty of 864 kWh. With the benefit-sharing mechanism proposed here and idea-lized circumstances, estimated cost savings of 5% are possible. Different pricing schemes were applied which include flat rates, demand charges, as well as hourly variable final customer tariffs and their effects on the operation of intermittent storage were revealed and examined in detail. Because the plug-in electric vehicle connection coincides with peak heat and electricity loads as well as solar radiation, it is possible to shift energy demand as desired in order to realize cost savings. --Battery storage,building management systems,dispersed storage and generation,electric vehicles,load management,microgrid,optimization methods,power system economics,road vehicle electric propulsion

Distributed smart charging of electric vehicles for balancing wind energy

To meet worldwide goals of reducing CO2 footprint, electricity production increasingly is stemming from so-called renewable sources. To cater for their volatile behavior, so-called demand response algorithms are required. In this paper, we focus particularly on how charging electrical vehicles (EV) can be coordinated to maximize green energy consumption. We present a distributed algorithm that minimizes imbalance costs, and the disutility experienced by consumers. Our approach is very much practical, as it respects privacy, while still obtaining near-optimal solutions, by limiting the information exchanged: i.e. consumers do not share their preferences, deadlines, etc. Coordination is achieved through the exchange of virtual prices associated with energy consumption at certain times. We evaluate our approach in a case study comprising 100 electric vehicles over the course of 4 weeks, where renewable energy is supplied by a small scale wind turbine. Simulation results show that 68% of energy demand can be supplied by wind energy using our distributed algorithm, compared to 73% in a theoretical optimum scenario, and only 40% in an uncoordinated business-as-usual (BAU) scenario. Also, the increased usage of renewable energy sources, i.e. wind power, results in a 45% reduction of CO2 emissions, using our distributed algorithm

EV charging stations and RES-based DG: A centralized approach for smart integration in active distribution grids

Renewable Energy Sources based (RES-based) Dispersed Generation (DG) and Electrical Vehicles (EVs) charging systems diffusion is in progress in many Countries around the word. They have huge effects on the distribution grids planning and operation, particularly on MV and LV distribution grids. Many studies on their impact on the power systems are ongoing, proposing different approaches of managing. The present work deals with a real application case of integration of EVs charging stations with ES-based DG. The final task of the integration is to be able to assure the maximum utilization of the distribution grid to which both are connected, without any upgrading action, and in accordance with Distribution System Operators (DSOs) needs. The application of the proposed approach is related to an existent distribution system, owned by edistribuzione, the leading DSO in Italy. Diverse types of EVs supplying stations, with diverse diffusion scenarios, have been assumed for the case study; various Optimal Power Flow (OPF) models, based on diverse objective functions, reflecting DSO necessities, have been applied and tried. The obtained results demonstrate that a centralized management approach by the DSO, could assure the respect of operation limits of the system in the actual asset, delaying or avoiding upgrading engagements and charges