Launched in January 2020, SmartQuart is known as the first real-world laboratory of the energy transition and is brought about by a consortium of 11 partners. Due to its potential to test and refine innovative technology and systems pivotal to the energy transition, the project is supported by the German Ministry of Economics. By connecting three smart districts, the initiative aims to show how with integrated and innovative systems, districts can become truly self-sufficient and massively reduce their carbon footprint.
The three smart districts will be interconnected digitally via a Smart-Hub with multi-energy design, meaning they incorporate heat, electricity and hydrogen. gridX, the only startup in the consortium, connects all buildings, distributed energy resources and households via our robust cloud infrastructure and our cascaded energy management. Our XENON platform is responsible for the smart energy management within and between the smart districts and is used to integrate assets and locally match energy supply and demand.
Three connected smart districts
The district in Kaisersesch, known as the hydrogen quarter, will showcase how renewable energy for heat, electricity and industry can be intelligently coupled with the mobility sector using hydrogen technologies. Our gridBox has already been installed in this quarter, enabling the smart integration of energy assets. Essen – the urban quarter – will act as a model for large sustainable cities of the future.
And lastly Bedburg, an area with typical small-town density and 130 residential units, will source local energy from solar panels and wind farms. Our initial real-time simulations of the district aimed to refine the energy management system design before the systems go live. The two-day simulations proved the efficacy of our communication protocol via our energy API and that a healthy balance between real-time and future control can be reached. The intelligent energy management system is able to precisely adapt energy feed-in and import to maximize self-sufficiency, minimize costs and avoid grid overloads.