Leveraging building LCA and machine learning to determine design parameters

July 25, 2018

The CSHub-developed Building Attribute to Impact Algorithm (BAIA) allows building designers to understand which design attributes will ultimately have the most significant environmental and economic impacts during the building’s life including the use phase, which comprises the operation of the building throughout its life. The use phase is a dominant source of environmental impacts for most buildings in the U.S. today.  An update to the method uses a genetic optimization algorithm, inspired by natural selection, which is designed to identify a near optimum, or quasi-optimum, design. It can be used to define which aspects are flexible and which aspects are critical to determining the cost and environmental impacts of the building.

Download the summary (PDF): Leveraging streamlined building LCA and machine learning to determine critical and flexible building design parameters