Carnegie Mellon University

This grant will help CMU’s Department of Engineering and Public Policy develop new modeling tools to more accurately predict the uptake of new technology and its impact on emissions. Most models rely on static assumptions for technology innovation, stock turnover and uptake of new clean tech. Rather than produce a single static curve, the project will produce a dynamic computer-based tool that will allow users to work through a number of key assumptions, and then, using sliders on a computer interface, explore how changing those assumptions change the supply curve — and thus the likely future cost and timing of deep reductions.