Proposal: Danish Building Energy Atlas

Let us imagine a Danish Atlas the shows all the buildings in Denmark and their sustainability impacts.Simple starts could be to show their potentials, energy usage, performance characteristics – such an example got from student project to Hackathon winner to spin-off company PicoDat and their solar potential calculator Sunmapper.

Each house belongs to a type of building that represents most of all buildings in Denmark – all these buildings could be represented by such “type building models” – You would take a stepup from the Tabula database typology and add some new building types for the newly built stock and the future building stock. Based on e.g. the BBR-registry, all buildings in Denmark could be mapped this way. We would simulate each of these buildings and find their energy demand hour by hour and hereby give a rough time series for the energy demand of all buildings, a simulation model in e.g. IDA-ICE, Be15 and other simulations tools, a BIM representation of each house type.

This collection would be a valuable repository of the Danish building stock that would make life easier for many city planer, energy planer and others.

Now many things can be done – you can visualize them on a GIS og map, you can generate a tool that is aggregating the energy demand for a given geographical area, a district, whatever…

Imagine to have a 3D model of all your buildings for whole Denmark. A simple one made on Sketchup is made by Niras for Århus and another one in Copenhagen. Why not starting at the DTU Campus where we have a lot of data already. You find it at http://model.cas.dtu.dk/. This could look like this: 101-picture-3d

Now, let us move towards visualizing the energy parameters of the buildings – adding thermo pictures on the 3D could look like this:

infrared-photo

 

Having a simple 3D – why not doubling to fully-fledged Revit-BIM models for central buildings? This way the simple shapes get “informed objects” that raise the bare quite a lot.

Alternatively, you can use Googles toolkit, such as Maps, Plans and implement this from the BIM to the G-Plan. How do we have to do such things – this is part of the project. You pick and choose and implement while you are documenting and sharing.

You are now able to place your “Internet of Things” sensors into your GIS-BIM-Plan visual models and connect them to the “Big Data Cloud” where all your data is collected.

The result will be a common resource that we all can utilize in our work, governmental bodies, private companies, universities and schools  – You have the resources, they are for free – just utilize them for your purposes.

If your are interested, contact (Al)Fred Heller.

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