Several use cases have been described following the application scenario adopted for the batteries under operation (two off – grid and on – grid connected).

A Demand-response scenario has been also identified for a more complex smart grid where different actors are connected. Some visionary scenarios have been identified and will be further developed in GREENERNET, where several Household Consumers (HCs) and  Offices and small Enterprises Consumers (OECs) would like to sell the excess of electricity produced locally or buy a certain amount of electricity interacting directly with the marketplace, buffered by a storage system.


Concept design for stationary battery system ( With text description)



  • Office Scenario: GREENERNET moves the power consumption from day to night, when prices are lower. The Flow Battery is used as intermediate buffer. During the day, the accumulated energy is used to provide the needed power to the air conditioner.
  •  Building Scenario: The  HCs adopts a GREENERNET solution to provide their smart building with a complete solution for the energy storage and usage. The accumulated energy is used to supply the domestic appliances when HCs use them. The HCs can monitor all the operations through the sw tool.
    The HCs enjoy their smart building completely isolated from the grid, in island mode.


  • Electrical Vehicle (EV) scenario: the owner adopts a GREENERNET solution to provide the EV Charger  Station (EVCS) with a complete solution.  GREENERNET uses the power generated by the Renewable Power System (RES) to fill up the battery. The accumulated energy is used to supply the EVCS when an EV customer arrives. The owner can monitor all the operations through the sw tool.


  •  Marked led  Demand Response (DR) Scenario: The HCs adopts a GREENERNET solution in order to supply their load demand by means of electricity absorbed by a storage system while electricity is expensive and recharge the storage, restoring its availability to provide this service, while the electricity is cheaper. The SW tool is able to exchange price information with the Smart Meter already installed in the households.
  • System led  Demand Response Scenario: A GREENERNET solution is installed in that portion of the grid in order to reduce the load during the peak hour. The SW tool is able to exchange data with the Distributor Service Operators (DSO) and receive both the power profile and the incentives rewarded to the loads that reduces their demand. During the peak hours, the optimization process assess the amount of reduction needed to meet the DSO request and then ask the storage system to provide it, supplying locally the consumers without affecting the power grid and solving the critical withdrawal of power from the grid.
  •  Federation Scenario: The Software (SW) tool is able to coordinate the management of both the technical and economic aspects concerning the operation of the single consumers and the economic aspects related to the aggregation of the offers for buying and selling energy into a market place. The SW is therefore able to consider the internal optimization of the HCs or OECs whilst takes into account signals from the Commercial Aggregator in order to define an aggregated market bid and/or offer to be presented in the energy marketplace.