The Urban Building Model
Urban Building Illustration: District model including buildings of the university campus Berlin-Charlottenburg | Source: screenshot from BuildingSystems library
Diagram showing control and data flow for Urban Building use case
The roadmap to the implementation of the use case
To achieve all the above, a toolchain will be implemented to automatically generate energy models at both building and urban scales, simulate the generated models using advanced modelling, simulation, and optimization techniques coupled with HPC, analyse the simulation results to produce key indicators that will guide decision-making in terms of renovation, urban design, and management strategies and present the simulation and analysis result in graphical form for an easier interpretation.
For the model generation and setup, the following data and information must be collected:
- Geographical information system data for the urban scale case (OpenStreetMap for instance).
- Geometric representation of buildings (BIM in IFC format).Material properties (BIM, expert, thermographic study, estimates based on the building knowledge, etc.).
- Material properties (BIM, expert, thermographic study, estimates based on the building knowledge, etc.).
- Use/occupation scenarios, and energy systems schedule if applies.
- Weather files.
- Energy consumption of the building.
- Type of heating system.
- Type of energy of the energy systems.
- Sensor data (temperature, humidity, air quality, energy consumption, etc.).
The aim of the Urban Building Model Use Case for HiDALGO2
The overall aim of this use case for HiDALGO2 is to provide building energy and indoor air quality models to simulate the contribution of the buildings at the city scale, in terms of heat, GHG, and NOx emissions.
In return, the UAP model will provide more accurate outdoor conditions (temperature, wind speed, and direction) to the building model. In addition, the radiative heat transfer on the buildings’ envelope will be improved through a better estimation of the solar shading.
The contribution of the Urban Building Model Use Case to communities
The Urban Building application is meant for communities who seek to improve the outdoor comfort and air quality of their urban area as well as the energy efficiency, thermal comfort, and indoor air quality of their building stock. From the energy point of view, this application will help them to evaluate the overall energy consumption of their assets, identify high energy consumption spots (buildings, heating network, etc) in an urban area, and identify high energy consumption spots of single buildings (when a building is identified as a high energy consumption spot, a detailed energy simulation can be run at the building scale for a more precise description of the building energy consumption distribution). Furthermore, they can evaluate the thermal comfort of buildings indoors and outdoors (heat islands), especially during hot periods that are becoming more frequent with climate change.
From the air quality point of view, it can help them to evaluate outdoor air quality and pollution emission of their assets environment, identify pollution sources in the urban area and zones of high pollution concentrations in the urban area, and understand the reasons. This information is useful for designing adapted urban plans, implementing more efficient management strategies, set up optimal renovation strategies for the existing buildings, and setting up good practice recommendations and awareness campaigns aimed at the population. This will help stakeholders and decision-makers to reduce the overall energy consumption and GHG emission of the urban area, shorten the urban area energy expenditure, and improve both indoor and outdoor environmental quality (thermal comfort + air quality) of the area.
Validation of the Use Case
Thanks to the collaboration with municipalities the urban scale approach will be demonstrated on selected cases (Poznań, Stuttgart, Illkirch, Győr, and Illkirch-Graffenstaden) that will be studied during the project. The building scale approach can be validated on a set of buildings for which the required data is available.
The set of buildings can be in different cities. For both the urban and building scales, measured data (temperature, energy consumption, air quality, etc) from (at least) some representative buildings will be useful to validate the models. It will be validated by comparison with real data (energy consumption, indoor air quality) when available, and by comparison between the simplified and detailed building models.
Graphic Illustrations of the Urban Building Use Case
In the Urban Building pilot, we first reconstruct from an online database the geometry of one to a few buildings up to whole cities and beyond. You can see an example of this in the following video with the interface to reconstruct Paris and some close suburbs as well as a couple of screenshots below (Figures 1, 2, 3 – Reconstructing big cities). Watch the video entitled “Reconstructing Paris from an Online Database – Urban Building Use Case”on the HiDALGO2 YouTube channel.
Another example of the work done is the following example from the city of New York. Manhattan Island involves a large number of buildings including complex ones. Using the geometric models that you see in the below figures (Figure 4, Figure 5) we can then deploy our thermal building models to compute heat transfer inside and outside the buildings, the air quality inside each building, and the exhaust to the atmosphere.
An important component of the heat transfer model is the impact of the sun on the building which corresponds to the so-called solar masks. You can see in the following video the shadows of the buildings depending on the position of the sun during the day.
The same effect of the sun is shown in the below Figures 6 and 7 which depict the solar masks at specific times of the day in the city of Strasbourg. You can also watch a video on the Ktirio Urban Building application here, where an area of 4×4 km square around the center of Strasbourg (about 17000 buildings) is depicted and the heat transfer within the buildings is simulated, while the internal and external temperature start in January (winter). The simulation was executed on a EuroHPC JU Discoverer supercomputer.
You can read more on the Urban Building Pilot and in particular the challenges we face to reach exascale computing from the discretisation point of view here.