The thesis seeks to explore how computational design may serve as an agency for shifting climate responsiveness from a reactionary concern to a guiding catalyst of form making within the architectural design process; and therefore the conceptual design space of which a designer occupies. The critiqued separation between form making and climatic data inputs in popular and preexisting parametric design processes serves as the impetus for this thesis. As is, current modes of building performance analysis mostly introduce the intelligence of climate data purely for analysis once a design has been conceived and digitally modeled. Current parametric design practices is viewed as not leveraging the full potential of computational design to help designers reach more optimal climate responsive solutions, despite robust computational powers and data availability. In addition to, post-design building performance analysis is viewed as introducing design latency and long static computation times that ultimately indicate to what degree a design needs to be altered to reach performative criteria.

This thesis theorizes that computational workflows, consisting of algorithmic/parametric/climate analysis scripted relationships, can automate the authoring of design geometry that is optimally derived from data and occupant comfort preferences. Additionally, it is believed that such a process can consider competing climate and weather conditions so that unified building geometry can be generated that responds to the human-natural relationship multifariously. If successful such a design methodology can extend the designer’s limitations, with human faculties is only able to consider a limited number of climate response strategies at a single time. Objective is to liberate the designer to author geometry and consider climate in tandem opposed to in isolation.

To test such proclivities the vastly popular climate responsive brise solei is used to introduce facade articulations logics, while also serving as a comparative performance based case study between algorithmically automated and analog design methods.


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