Nebulous

Bogatell Beach

Nebulous is a project that reviews the concepts and equations of harnessing energy, primarily from energy found through ocean waves. This project is part of the Iaac research line studies developed within the scope of the Self Sufficient Buildings program. Nebulous is a resolution that seeks to simulate the time dependent conditions of ocean wave energy, by combining large amounts of air pressure through a mechanically deployed mist system. By revealing energy our project aims to carefully detail the possibility of living within extreme conditions that find subtle possibilities of living within environmental grids.

Optimizing Visibility

In order to find computational solutions, our boundary conditions must be defined. For the genetic optimization exercise we deployed two adjacency programs which would facilitate a kitchen, bedroom and bathroom. Since the air mist nozzles while emit large amounts of fine particles, our computational variables must be specific to certain domains found in synthesizing mist. Therefore, our parameters are found in simulating density through use of two planes. Plane no.1 would be considered the base of the emitting fog and Plane no.2 is considered the height offset in the Z-direction. Since these parameters can be modified it is important to retain the height at the maximum threshold. Therefore, the height would remain constant, but the radius of the two planes would change through genetic optimization. The numerical value for this exercise is to find the maximum optimization for the mist parameters in order to test visibility. A simple pseudo code workflow diagram is presented to demonstrate the direction of conceptualizing the script.

Workflow

The workflow carefully explains how the script could be imagined and executed with direct parameters that influence the genetic optimization of the fog and visibility.

Grasshopper Script

The script demonstrates the use of surfaces, boundaries and ladybug in order to optimize the Galapagoscomponent for genetic optimization.

Base Geometry

In order to influence parameters a ground surface is translated into points. Where the red vertical lines represent the mist emitted from the nozzles found in the mechanical design. The two adjacent programs are inserted with a core to project a view from inside of the program. As the red arrays expand or contract the optimization would reveal the best visibility conditions based on the genetic optimization of the mist. Thus, this would project how much pressure could be applied to the mechanical release valves.

Genetic Optimization

Biomorpher was used to simulate the various conditions of the mist density. The optimization and visibility parameters were modified with mass addition from ladybug.

Final Results: Genetic Optimization

Genetic Optimization iteration at minimum solver settings, through Galapagos.

Genetic Optimization iteration 1 at maximum solver settings, through Galapagos.

Genetic Optimization iteration 2 at maximum solver settings, through Galapagos.

Genetic Optimization iteration 3 at maximum solver settings, through Galapagos.

Animated Genetic Solution

Genetic optimization animation showing visibility through ladybug and Galapagos.

Exterior Render

Exterior rendering showing transparent skin and the fog emitted.