Perry Pei-Ju Yang / Georgia Institute of Technology
Helen W. Chen / Georgia Institute of Technology
Soowon Chang / Georgia Institute of Technology
Nirvik Saha / Georgia Institute of Technology
The paper explores how urban design is driven by data analytics for promoting energy efficiency and system resiliency. A new campus design is defined as a small-scale complex urban system of landscape, buildings and infrastructure, in which energy, water, transportation and information flow and function over a territory. Three questions are addressed: 1) What properties can we derive from modeling alternative scenarios, and effectively inform campus design decisions? 2) How do we optimize design options based on multicriteria objectives? 3) How can we use scenario evaluations and design optimization to generate a campus design, a process that traditionally relies on anticipation and synthesis from designers? Driven by the above questions, a campus site design was conducted based on three design approaches by anticipation, performance and optimization to focus on energy resilience. Future research will apply the multi-objective optimization method to examine campus buildings and infrastructure systems nexus, including energy, water and mobility, and derive emerging properties of complex urban systems for guiding design decisions.