Data Space 4 Local Resource Management

Use Case Ingolstadt 1: Visualisation of Climate Adaptation Measures (dashboard, integration in digital twin)

• Based on an extreme weather event visualisation in densely populated areas using hourly climate and weather data, a network of sensors enables warnings and recommendations for the population. A dashboard provides information on nearby cool locations, drinking water supplies and forecasts electricity and heat generation from renewable energies.

Use Case Ingolstadt 2: Climate Adaptation in industrial areas
(Simulation of future scenarios)

• The heavy rain hazard map will be integrated into the digital twin to simulate extreme runoff and plan targeted preventive measures. Climate adaptation actions will be prioritized based on land availability. Climate data integration enables assessment of urban ventilation impacts. 

Use Case Tulln: Resource efficient irrigation and energy management (Integrating sensor data with weather and climate information )

• As part of its Green Smart City Strategy, Tulln has already taken initial steps towards digitalisation by deploying an IoT platform that collects real-time data from soil moisture sensors to support municipal irrigation management. The next phase involves enhancing the platform, testing additional sensors, and further automating irrigation processes. By integrating sensor data with weather and climate information from Geosphere Austria and other sources, the data space will enable microclimatic analyses, simulations, and forecasts. These tools will help the municipality and local residents reduce water consumption.

• In addition, Tulln is improving green energy monitoring by enhancing data recording and evaluation of municipal renewable energy production and consumption. The city plans to implement dynamic electricity pricing (cost-effective energy usage, grid balancing).

Use Case Wiener Neustadt: Automated Energy Management & Forecasting
(automation, forecasting, dashboard)

• Integrating energy data sources: Monitoring electricity, gas, and heat consumption across municipal buildings, vehicle fleets, and facilities, as well as municipal PV system energy production.

• Expanding energy data platform: Feeding real-time energy data into the existing data platform and integrating it into a data space.

• Climate-informed energy forecasting: Linking municipal energy production and consumption data with weather and climate data to enable resilient energy management, disaster prevention, and public awareness initiatives.