(Reuters) – The global commercial shipping industry could reduce carbon emissions by 47 million tons per year by deploying artificial intelligence for maritime navigation, a study by autonomous shipping startup Orca AI showed on Tuesday.
The report states that the use of this technology can reduce maneuvers and route deviations during close encounters with high-risk ocean targets such as vessels, buoys and marine mammals by instantly alerting crews.
why it’s important
The shipping industry is responsible for about 90% of global trade transportation and accounts for nearly 3% of global carbon dioxide emissions. This proportion is expected to rise in the coming years unless stricter pollution control measures are implemented.
The International Maritime Organization’s target of reducing emissions by 20% by 2030 is threatened by the ongoing Red Sea crisis.
Key Quotes
Orca AI said: “In the short term, this may result in fewer crew members on the bridge and less workload for the crew on the bridge, who will be more focused on handling complex navigation tasks, optimizing range and reducing fuel. and emissions.
“In the long term, it will open the door to fully autonomous shipping.”
context
According to the Organization for Economic Cooperation and Development, global carbon dioxide shipping emissions are expected to reach 858 million tons by 2022, a slight increase from the previous year.
Research by Orca AI shows that an average of 2,976 marine accidents are reported each year.
From a numerical perspective
Orca AI reports that reducing route deviations can help ships travel 38.2 million nautical miles less per year, saving an average of $100,000 in fuel costs per ship.
Artificial intelligence can also reduce close encounters in open water by 33%, the report said.
