Think a step ahead
Balance the energy.
Charge sustainable and intelligent.
Main thought of the service is to exchange information among data providers related to “E-Charging”, meaning vehicles will be providing information about its battery status and other information relevant during the charging process, buildings about its e-chargers infrastructure – free charging locations and constraints. In the future weather stations may also possibly provide relevant data, which could be used for expected electricity generation calculation as well - this thought can serve as a long-term vision and will be considered only theoretically at this stage.
Furthermore, using real-time data in the communication online with the car/building about occupancy of e-charges placed outside of the building or inside (in the garages) in a way that the vehicle would send out its own information about its capacity of the battery. This together with its current position and speed could possibly calculate time of arrival and to reserve an e-charger for this specific car. Within the scope of the project, such a reservation will be done manually by the vehicle driver via application.
Based on information about battery capacity, the building will be able to calculate the time needed for full charge and then to reserve an e-charger for another interested parties. With such data exchange, besides benefits for individuals, many other service providers could benefit:
Shopping malls, city centres
Payment for the e-charging service providers
To be able to charge the car with electricity, a big amount of energy is required. Such energy is not usually stored and has to be used ideally once it is available. Within the company backend, it will be evaluated how much energy is currently used and how much can be allocated for the charging.
Especially when talking about Smart Building, energy efficiency and self-independence are core topics. In a situation where the building is generating its own electrical energy from sources such as solar panels or wind turbines that cannot be controlled as needed and, moreover, the production is strongly depending on the weather, it would be helpful to have as precise weather prediction as possible.
With such information it could be estimated in what time there will be strong wind or sunshine and how much energy will be produced by the building. Based on an intelligent building management system it will be calculated how much energy the building will use for its own purposes and what amount could be used for e-charging stations. Knowing that, building owners then can offer its e-charging stations for a special price in order to not to lose generated energy.
Similar balancing of energy generation, storage, and distribution based on precise weather forecast would be of interest of further development. The Cross CPP project revealed nice insights and possibilities during the communication among partners involved. Although implementing this is out of the scope of the Cross CPP capabilities, it is definitely a promising foundation for development in this area.