Lifecycle Building Cost and Carbon Impact Analysis and Visualization: Design Sampling and Predictive Modeling

In this research, I have developed a data-driven workflow that recommends sustainable building solutions based on lifecycle cost ($) and carbon impact (kgCO2eq). The workflow can analyze conceptual geometries in the early design stage when there is limited information. By following recommended ranges of numerical attributes and options of categorical attributes, the workflow helps save on average 15% on cost and 25% on carbon impact. Cutting-edge technologies are applied including design sampling, predictive modeling, data analysis and visualization.