Optimal design of pipelines network for CO2 transport

Carbon capture and storage (CCS) is widely regarded as an important technical alternative to mitigate CO2 emission. But the planning of the deployment of CCS infrastructure has been a challenging problem, because many constraints have to be considered simultaneously, with a great number of sources and sinks. Moreover, some inevitable nonlinear factors in real-life cases make the design problem even more complex. In this study, an mixed-integer programming (MIP) model for optimal design of pipeline network for CO2 transport in previous studies is retrofitted, and geographical impacts on the pipeline construction cost is incorporated, which is realized on a combined platform of GAMS and ArcGIS. The new model is also applied to a real-life case in Texas to test its performance. The design result shows that the new model is effective and comprehensive for pipeline networks design.