https://urban-water-potentials.de/

General info: A simulation of urban water potential in the city of Fellbach, encompassing rainfall, water demand, and wastewater management.

Project Overview: The digital tool "Urban Water Potentials", jointly developed by the Stuttgart University of Applied Sciences (Hft) and the East Bavarian University of Applied Sciences Amberg-Weiden (OTH), now makes savings and synergy potentials visible. Even for individual properties. And in a playful way. "Urban Water Potentials" analyses and visualises possible synergies and greening scenarios in the heavily sealed and densely built-up Fellbach industrial area. The web application shows the water requirement, the wastewater volumes and the rainwater balance for the properties of the individual tradespeople.

The prototype presented in Berlin is based on detailed, GIS-based analyses of the water balance in trade and agriculture. In a new, participatory approach (e.g. workshops, interviews), the researchers from the two universities determined the consumption data, quantities and qualities of drinking water and wastewater. In combination with data from the water and waste disposal companies and other data, real consumption data could be derived into transferable, typical demand data sets.

Based on various scenarios, different paths to climate adaptation can be played out online. The respective effects on the local water balance (evaporation, discharge, infiltration) as well as the associated costs – and savings potentials – become visible. In addition to rainwater flows, the tool also makes statements about drinking water and wastewater volumes – depending on the industry structure.

At the Berlin "Week of the Environment", the application met with great interest, especially among representatives of municipalities. No wonder, as it is often their task to convince private property owners of the need for climate adaptation measures. The financial aspect is an important argument here. The tool is now being used in the IBA'27 project in Fellbach.

Visualization tool: OGC API, CesiumJS, 3D Tiles.

Simulation tool: ArcGIS Pro

https://transfer.hft-stuttgart.de/pages/ensysle/application/index.html

General info: A simulation of renewable energy potential and energy demand using the HFT SimStadt software, focused on three cities in Germany with distinct profiles: Ludwigsburg (sub-urban), Ilm-Kreis (forest-dominant, semi-urban), and Dithmarschen (agriculture-dominant).

Visualization tool: OGC API, CesiumJS, 3D Tiles.

Overview and Research Question: The joint project with ewi Cologne analyses local energy markets as a link between the regional and central energy transition. The HFT Stuttgart sub-project is concerned with the model-based analysis of regional energy generation systems on the basis of the SimStadt simulation platform. EnSys-LE examines the question of how local and national energy systems relate to each other. The potential for renewable energies is analysed for four representative districts in Germany and compared with the national targets for renewable energies.

Result: The aim of the HFT project was to expand the SimStadt simulation environment, which has been continuously developed since 2012, with new parameters and technologies that are essential for analysing regional energy systems. In particular, workflows for analysing regional potentials for ground-mounted photovoltaics and onshore wind power were developed and the cost parameters in the workflow for rooftop photovoltaics were updated. In a neighbouring project, a workflow for assessing regional bioenergy potentials was also developed.

This means that it is now possible to determine the potential of all renewable energies relevant to a German region within SimStadt at a high spatial resolution on the basis of a standardised, geoinformatic database and to compare this with the electricity and heating requirements of this region determined at an equally high spatial resolution. In addition, the project analysed land use conflicts in detail using the example of bioenergy and ground-mounted photovoltaics.

The successful coupling of SimStadt with the models of the project partner ewi (Institute of Energy Economics at the University of Cologne) also made it possible to extend the model framework from the comparison of regional potentials and requirements (SimStadt) to a regionally optimised energy system (COMODO) on the one hand and the comparison and reflection of the modelling results in a supra-regional framework (DIMENSION) on the other.

Simulation tool: SimStadt, Matlab

https://transfer.hft-stuttgart.de/partizipation/

General info: Visualization of acoustic, energy, and mobility data for the city of Stuttgart.

The participation platform developed in the M4_Lab is intended to enable citizens to contribute their opinions in participation processes. It is currently still in the development stage. An essential component of the participation platform is the 3D environment. Various building models are shown that have been converted from CityGML models into 3D Tiles models. This format is well suited for web visualizations. The building data comes from various sources: The basic model in LoD1 (Level of Detail) is provided by the HFT, newer models or models in a higher LoD can also be integrated. If no model is available, a model can be generated. An example of this is the Nordbahnhof area, which can be viewed in the prototype.

Visualization tool: OGC API, VirtualCitySystem, 3D Tiles.

https://transfer.hft-stuttgart.de/pages/urbandataplatform/hft-digital-twin/

General info: A 3D digital twin representation of the HFT Stuttgart, utilizing ESRI ArcGIS JS technologies and adhering to the OGC standard data model, is currently under development. At the moment, the application shows an indoor floor plan for building 1 along with an example carbon sensor reading from building 1. The vision is to further extend this digital twin model to show indoor plans for all the other buildings along with real-time datasets such as carbon readings, occupancy profiles of classrooms, emergency routes, acoustic profiles for each classroom, etc.

Visualization tool: OGC API, ESRI ArcGIS JS SDK.

https://transfer.hft-stuttgart.de/pages/in-source/lkrludwigsburg3d/

General info: A simulation of heating energy demand, water demand, food demand, PV potential, bioenergy potential and food potential for the entire county (landkreis) of Ludwigsburg. INSOURCE project delivered a common standardised data model to harmonise datasets on buildings, food, water and energy sectors to analyse and simulate all these urban resources as one ecosystem rather than traditional methods of analysis and simulation in individual domain silos. CityGML is used as a city information model and further extended with CityGML Food-Water-Energy Application Domain Extension (ADE). Different datasets related to Landkreis Ludwigsburg food-water-energy resources were curated using GIS datasets or from literature and stored inside the CityGML Food-Water-Energy ADE. With this ADE as a database, the SimStadt simulation engine was also extended to use data from Food-Water-Energy ADE as input and simulate different energy demands and energy potentials for the entire country of Ludwigsburg, which included 39 towns and municipalities. Results from the simulation were visualised using CesiumJS-based web application.

Simulation tool: SimStadt Visualization tool: OGC API, CesiumJS, 3D Tiles.

https://3dweb.lgl-bw.de/3D/SmartVillages/#/

General info:

The aim of the project is to transfer the "Smart Cities" approach to small and medium-sized municipalities, taking into account the special conditions of rural areas - on the basis of three scenarios - as preparatory work for a later nationwide general use.  The use cases are to be integrated and visualized on the basis of the 3D models visualized on the basis of the 3D models.

1. Building models (3D planning, BIM models) for municipal planning.

2. Connection between the 3D city models with sensors and real-time visualization for evaluating dynamic sensor measurement results. Also, their presentation and utilization for science, administration and citizens.

3. Linking of traffic  (bicycle, public transport, car) and its impact on infrastructural facilities.

Visualization tool: OGC API, VirtualCitySystem, 3D Tiles.