The goal of this project was to assist Adrian Smith + Gordon Gill Architecture in an urban master planning project for a 945,000 square meter district in Wuhan, China through the development of an online, real-time parametric modeling tool. This tool offered the ability to benchmark performance data while in a planning phase, providing invaluable insight for proposing the most efficient, livable community. Architects used the tool to propose three scenarios with varying densities. While developing the schemes, the planning team loaded 3D Rhino models to approximate site utilizations and floor area ratios. Utilizing predictive modeling, simulations of energy demand and consumption, transportation, water consumption, program mix, density, and occupancy are calculated at a building- and site-level.

Each building’s contribution to the site-wide output is represented by a heat map for the chosen parameter. Based on the outputs, site goals can be checked, and the scheme can be redesigned. Building heights, floors, and program mixes are customizable, and the user can see changes to the simulations in real-time in order to achieve the goals and standards set for the project. A sustainability layer allows users to toggle Key Performance Indicators (KPIs) on and off to reduce consumption and demand levels based on the inputted percentage. This functionality was used to test the viability of goals as well as develop a site that meets national and local sustainability standards.

John Tolva was the project lead for this project.