We support municipalities and cities in heat planning with the analysis of existing heat sources, the definition of target scenarios and the heat transition strategy with the goal of a climate-neutral heat policy by the year 2040 with interim targets for the year 2030. Our web-based photovoltaic planner has proven to be an easy entry into the energy transition in many municipalities and cities. With this, local homeowners check for themselves what potential their roof has for photovoltaic systems and what costs they will incur. With the integration of local craftsmen, implementation is quick and trouble-free. In the projects, municipalities and cities save up to almost 10,000 tons of CO2 annually.
With the software-as-a-service solution developed at greenventory, the latest Fraunhofer know-how comes directly into use by cities, energy suppliers and grid operators.
greenventory helps us create optimal energy designs for community local energy systems based on IoT data.
greenventory has a highly motivated, excellent team, which brings energy management know-how and innovative methods based on the latest research into practical application.
greenventory supports us with detailed load profiles, potentials and technology forecasts for network planning and also enables us to use company-wide synergies.
The greenventory team convinces through professional excellence, a solution-oriented approach and their commitment to customer satisfaction.
greenventory has visualized the PV potential of our municipality and thus made complex data accessible to our citizens in a transparent, understandable and comprehensible way.
With the help of greenventory, we record the photovoltaic potential of numerous buildings in the entire Stuttgart urban area in a highly efficient manner and thus develop a roadmap for the best possible implementation of photovoltaic expansion.
greenventory helps us improve forecasting and processes through increased transparency and better information on the more than 700,000 renewable generation assets in our grid area.