RTN Model for Supply Logistics of Carbon Dioxide in the Field Management for Carbon Capture and Storage

Abstract

We present a mixed-integer linear programming (MILP) model for a maritime inventory routing (MIR) problem for carbon capture and storage (CCS). The model is formulated using an extension of the resource-task network (RTN) representation that minimizes sailing costs. The proposed model can accommodate any number of vessels and emitters. The discrete-time model considers accurate task durations relative to the load of CO₂. The model can generate an hourly inventory profile and detailed scheduling with accurate results. We show the computational performance of the model on five small-scale examples, and on one large-scale real life instance.