Aspern Smart City Research

With the digital solution, provided by the MindSphere City Graph, ASCR is now able to improve forecasting of the charging demand of eCars and the understanding of their impact on the energy infrastructure in Aspern. CLIENT CHALLENGE 𝟭 Utilize the electricity network to maximize the supplied energy 𝟮 Communication and information of extra network capacity reserves for electric car users 𝟯 Improve system efficiency and operation by connecting charging points to buildings and their parking lots and providing charge-management service OUR APPROACH ➜ Data Sources: Ontology Electrical network data based on the IEC standard CIM ➜ Electrical load information: Charging station information from publicly accessible and open data platforms ➜ Digital Twin: Correlation of transportation & electricity network data, charging stations and electric vehicle consumption by creating a graph-based data model (City Graph) ➜ Visualization of correlated data: Transportation information and traffic flows for end users in an interactive map ➜ Status of charging: Prediction of charging point usage (occupancy and energy demand) THE IMPACT ✓ Cost reduction: up to 15% cost savings by providing services through open standards and interfaces, with the goal of affordability, monetization enablement and longevity. ✓ Sustainability: by increasing the attractiveness of e-charging as well as the charging capacity, the overall emissions from combustion vehicles will decrease. ✓ Operational efficiency: up to 25% increase as the system implemented for providing and monitoring network capacity can help to secure the reliability of power supply in large cities.