Multi-objective Optimization of a Facade for Daylighting and Energy Efficiency

Open Access
Donnell, Paige Lynne
Area of Honors:
Architectural Engineering
Bachelor of Architectural Engineering
Document Type:
Thesis Supervisors:
  • Richard George Mistrick, Thesis Supervisor
  • Richard George Mistrick, Honors Advisor
  • Kevin William Houser, Faculty Reader
  • Daylighting
  • Optimization
  • Facade
  • Energy Performance
The objective of this thesis is to explore the façade of an existing building and determine a design solution based on the results of a multi-objective optimization analysis of the daylighting and mechanical performance in the space. A literature review of different professional works, along with research on current industry design strategies, outline how this form of analysis has the ability to better inform the design process from an early stage. A model of the existing building facade was created to represent its unique form and orientation, allowing for material related design variables to be accurately assessed. Programs used to achieve this model include Rhino, Grasshopper, Ladybug, Honeybee, DIVA, Radiance,and Energy Plus. Glass materiality and its associated performance data for VLT, U-Value, and SHGC were chosen as the input parameters for this analysis. While altering these inputs, data sets were collected to represent the window performance in each scenario. Data provided the means for an analysis on the effects that glass construction can have on occupant view and comfort, as well as building energy loads and daylighting metrics. The purpose of this research was to expand my knowledge in the different parametric modeling tools available in the industry for use with daylight optimization and integration with different design disciplines, including the visualization and communication of results.