We may not quite be at 2.0 status just yet, but members of the CORE studio team have been hard at work with the concept of remote solving. In essence, remote solving creates an automated means of providing feedback to our clients by using a specialized computational model that exposes high-level inputs and outputs. As the client makes changes to these inputs, our model reads the updated information, runs the desired analysis, then returns automated feedback – all without the need to exchange full 3D models.
This process enables a highly fluid and rapid communication process early in schematic design, when a design option may only stay on the boards for a short period of time. With collaboration in mind, we are exploring areas where automated feedback can assist in the development of the design at a pace that keeps up with the rapid production of the design team.
In the most recent example, we were asked to study how ceramic frit patterns on a tower’s façade impacted the amount of daylight entering the building. We set up a remote solving process that allowed the client to manipulate the pattern, upload images and specify a floor level to study and, within an hour, receive a full report on the performance of that particular pattern. This process eliminated the days – or even weeks – it can take for us to receive a design, process it into a format for our analysis, run a simulation, prepare a report and send it back. Unlike the traditional process, remote solving can easily keep up with the fast-paced iterations that often occur in the early stages of design.
The diagram below explains our recent process, this time using the Dropbox file sharing service to receive and deliver content. The back end of this model (in Grasshopper) runs a useful daylight illuminance (UDI) study using the open-source toolset Honeybee, developed by our own Mostapha Roudsari. The Grasshopper definition listens for new files in the Dropbox, loads them into the model, parses the images to create different glass types to approximate the transmittance of glazing that the frit pattern produces, runs the study, uses custom components to produce a rendering of the model, and finally uses the ‘Write To Excel’ component in TT Toolbox to generate custom formatted tables of the daylighting study results.
We will be looking to continue this stream of research in the upcoming year, so keep an eye out for more advances into this methodology.