Second Generation Prototype of a Design Performance Optimization Framework

The integration of performance evaluation into the building design process becomes increasingly important in order to respond to demands on contemporary design with respect to the future of our built and natural environments. This paper presents work on the second iteration of an implementation of a design performance optimization framework that attempts to respond to the challenges of integrating analysis and optimization into the design process. Main challenges addressed are speed of feedback through implementation on the cloud, utilizing parallelization of computations and availability of results in the computational context of the model through leveraging the parametric nature of the application; The goal is to enable designers in their decision-making throughout the design process with focus on earlier phases of the design process during which changes can be implemented faster and at much lower costs than in later phases of design or even during construction and occupation.