Mathematical Optimization of Carbon Storage and Transport Problem for Carbon Capture, Use, and Storage Chain

The greenhouse effect caused by carbon dioxide (CO2) emissions has forced the shipping industry to actively reduce amount of CO2 emitted directly into atmosphere over past few years. Carbon capture, utilization, and storage (CCUS) is one main technological methods for reducing atmosphere. transport, i.e., permanent or temporary sites, a critical intermediate step in CCUS chain. This study formulates mixed-integer programming model transport problem chain optimally determine ship allocation, departure scheduling, transport. Taking advantage structure problem, we transform simpler that can be computed efficiently. To evaluate performance model, numerous computational experiments are conducted. results show all small-scale instances (each with 10 power plants) medium-scale 30 solved optimality Gurobi within 14.33 s. For large-scale 60 65 plants, feasible solutions average gap values 0.06% 6.93% obtained hour, which indicates proposed methodology efficiently applied practical problems. In addition, important parameters, including unit fuel price, time-charter cost, sailing speed, examined sensitivity analyses investigate impacts these factors on operations decisions. summary, lower charter higher speed increase profit