This website is mostly a content container for my M.Arch thesis at Lawrence Technological University.  

For my thesis  I am interested in exploring how parametric design be used to self generate facade geometries that are responding to localized climate conditions. It is a study in using climatic data inputs as a way of creating  parametric design logic in a manner that reaches optimal energy use reduction , while still supporting the creation of architectures that are responsive to the qulitiative aspects of context and human comfort. I am also seeking how climate based automated parametric design processes can be extended beyond considering a single environmental force, but instead operate and self generate under multi-criteria design logic.  

For this particular  thesis investigation I decided to focus on the design of building facades. My reason for doing so is building facades exist at a clear intersection between  building energy use, human comfort, and aesthetic iconography.  I am motivated to identify and create computational processes that remove design latency and support energy use reduction, while still enabling artistry to occur within the design process.

Process + Method 

Step 1: Precedent case study research

Facades Technology Precedents

  • Research of pre-existing climate responsive building facades, and identify recurring patterns that exist in response to particular climate conditions.
  • Use unearthed patterns as a basis for creating automated computational design logic. 

Precedent Computational

  • Identify preexisting computational workflows and software that result in automated climate responsive facade deisgns. 
  • Identify preexisting computational design processes that handle multi-objective form finding. 

Step 2: Computational Simulations 

Usign Rhino and Grasshopper with affiliated add-ons of Honeybeee and Ladybug as a the primary modeling environment, and Autodesk's Revit with Greenbuidling Studio as a secondary source of performance verification, answer the following: 

  1. Explore how preexisting climate responsive facades designs can be automated through parametric digital modeling.
  2. Using mathematical models of multi-objective optimization demonstrate if it is possible to self-populate and optimize combined identified reoccurring strategies of climate responsive façades.
  3. Determine if using a multi-objective and automated parametric design approach leads to  both quantitative and qualitative improvements over previous methods of designing building facades. 

Step 3: Design Immersion