Using Genetic Algoritms in parametric building facade design to create different atmospheres
Author
Rant, Niclas Nerup
Term
4. term
Education
Publication year
2019
Submitted on
2019-05-28
Pages
44
Abstract
Dette projekt kombinerer genetiske algoritmer med parametrisk facadedesign og dagslysoptimering for at skabe forskellige rumlige stemninger ved at styre, hvordan dagslys kommer ind i et rum. Tre parametriske facadedesign blev opstillet i Rhino og Grasshopper (værktøjer til 3D-modellering og visuel programmering). Dagslysets ydeevne blev vurderet med Ladybug og Honeybee, og lysniveauer blev målt i lux (enheden for belysningsstyrke). Vi gennemførte tre testscenarier for at undersøge, om metoden kan skabe forskellige indendørs lysforhold. Samlet set tyder resultaterne på, at metoden er nyttig til at generere tydelige belysningsscenarier, som påvirker, hvordan et rum opfattes. For at bekræfte metodens evne til systematisk at skabe forskellige stemninger er der dog behov for yderligere forskning.
This project combines genetic algorithms with parametric facade design and daylight optimization to create different indoor atmospheres by controlling how daylight enters a room. Three parametric facade designs were set up in Rhino and Grasshopper (3D modeling and visual programming tools). Their daylight performance was evaluated with Ladybug and Honeybee, using lux (a unit of illuminance) to measure light levels. We ran three test scenarios to assess whether the approach can produce varied indoor lighting conditions. Overall, the results indicate that the method is useful for generating distinct lighting scenarios that influence how a room is perceived. However, further research is needed to confirm its ability to systematically create different atmospheres.
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