Collective carbon emissions reduction at a port by prioritizing arrival for the queued set of vessels and maximizing the load factor for each vessel enabling slow steaming linked to the carbon emissions target of each vessel

A data processing system adapted for vessel speed tuning for collective carbon emissions reduction at a port of call, the system comprising:

• a host computing platform comprising one or more computers, each with memory and one or processing units including one or more processing cores;
• and,
• a vessel speed tuning module comprising computer program instructions enabled while executing in the memory of at least one of the processing units of the host computing platform to perform:
• queuing a set of vessels each steaming towards the port of call, each of the vessels in the set having a carbon emissions target;
• determining for each of the vessels an estimated time to service the vessel including cargo unloading and refueling at different arrival times within an arrival time window;
• computing for each of the vessels, a load factor resulting from different combinations of arrival time and resulting estimated times to service;
• optimizing an ordering of arrival for the queued set of vessels by minimizing aggregate carbon emissions and maximizing the load factor for each of the queued vessels according to different permutations of arrival times for the vessels in the set within the arrival time window, constrained by the carbon emissions target of each corresponding one of the vessels;
• determining optimized speeds for each of the vessels corresponding to the optimized ordering of arrival;
• and,
• transmitting to each of the vessels, a corresponding one of the determined speeds.

A computing device comprising a non-transitory computer readable storage medium having program instructions stored therein, the instructions being executable by at least one processing core of a processing unit to cause the processing unit to tune vessel speed for collective carbon emissions reduction at a port of call by:

• queuing a set of vessels each steaming towards the port of call, each of the vessels in the set having a carbon emissions target;
• determining for each of the vessels an estimated time to service the vessel including cargo unloading and refueling at different arrival times within an arrival time window;
• computing for each of the vessels, a load factor resulting from different combinations of arrival time and resulting estimated times to service;
• optimizing an ordering of arrival for the queued set of vessels by minimizing aggregate carbon emissions and maximizing the load factor for each of the queued vessels according to different permutations of arrival times for the vessels in the set within the arrival time window, constrained by the carbon emissions target of each corresponding one of the vessels;
• determining optimized speeds for each of the vessels corresponding to the optimized ordering of arrival;
• and,
• transmitting to each of the vessels, a corresponding one of the determined speeds.