Smart City Projects

Cities represent three quarters of energy consumption and 80% of CO2 emissions worldwide, and represent the largest of any environmental policy challenge. Urbanisation is only set to increase, cities house half the world’s population today but are set to host three quarters in 2050.

To cope with this continued urban growth we will need to invent new ways to manage cities and make them more effective. The convergence between digital technology and the world of energy, will pave the way for a new ecosystem of services which will enable both a better quality of life and reduced energy consumption.

QBots will develop a model for the Prosumer by  pooling  resources to create a local business community grid. Currently working with Manchester and Exeter cities in UK looking at sites with heavy energy consumption, critical loads, also possessing distributed energy generation assets including diesel generators. By creating and operating a virtual power plant connecting up various loads and assets with energy storage, we will provide localised energy balancing and distribution at low costs. Essentially we will be looking to take the building off Grid during periods of unfavourable charges. We will also provide intelligence to decide when to export to the grid.

Control algorithms utilising the latest artificial intelligence and machine learning techniques will be developed and trialled, to maximise the benefits for all stakeholders. Once successful, further stakeholders from the city can participate, thus extending the benefits and impact for the city. The proposed energy management framework will be flexible to meet the requirement of different stakeholders; in particular, it has to support the new role of the DSO to act as a neutral market facilitator between aggregators and suppliers participating in the balancing and ancillary services markets. Besides, the proposed solution can improve the increasing integration of Renewable Energy Sources in the existing electricity network.

The project aims at developing an innovative practical solution to optimize local distributed generation and improve the exchange of information for monitoring and for the acquisition of ancillary services (e.g., reserve and balancing) from prosumers/aggregators located in the distribution network. Variable generation located in distribution will be optimally operated together with local storage and active demand in order to provide local services for the distribution grid.