Joint Planning of Fleet Deployment, Ship Refueling, and Speed Optimization for Dual-Fuel Ships Considering Methane Slip

Reducing air pollution and greenhouse gas emissions has become one of the primary tasks for shipping industry over past few years. Among alternative marine fuels, liquefied natural (LNG) is regarded as most popular fuels because it cleanest fossil fuels. Therefore, a practical way to implement green deploy dual-fuel ships that can burn conventional fuel oil LNG on various ship routes. However, severe problem faced by methane slip from engines ships. this study formulates nonlinear mixed-integer programming model an integrated optimization fleet deployment, refueling, speed ships, with consideration consumption both main auxiliary engines, carbon emissions, availability at different ports call, Several linearization techniques are applied transform into linear be directly solved off-the-shelf solvers. A large number computational experiments carried out assess performance. The proposed linearized quickly Gurobi, namely shorter than 0.12 s, which implies possibility applying problems help decision-makers liners make operational decisions. In addition, sensitivity analyses essential parameters, such price difference between LNG, tax, amount, conducted investigate influences these factors decisions seek managerial insights. For example, even under existing strictest tax policy, do not need more slow steaming reduce total weekly cost.