Multimodal Optimization of CO2 Transport in Texas

This capstone project sought to determine if existing CO2 freight transportation infrastructure provides adequate alternatives to the dominant pipeline in the Texas study area in regards to monetary cost. Secondly, it sought to understand feasible modeling in optimizing for a bi-objective problem of minimal monetary costs and minimal social-environmental risk while characterizing resulting routes under stated assumptions such as data recency or use of estimations for features like pipeline diameter.

Spatial problem sensitivity is explored by running the model with different weight ratios of cost to risk under a limited number of stops and network considerations. The team observed that the value of risk has a greater impact on the value to be minimized than monetary cost. This could denote a need for heavy consideration of the impedance weights when the network is used in singleshot analysis.

The images give a sample of the overall workflow and a simple output of the network analysis output.