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StormGeo > Case Studies > Optimized Transatlantic Voyage: A Case Study in IoT-Driven Route Optimization
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Optimized Transatlantic Voyage: A Case Study in IoT-Driven Route Optimization

Applicable Industries
  • Marine & Shipping
  • Transportation
Use Cases
  • Vehicle Telematics
The Challenge
In the fall of 2017, a container transportation company, a client of StormGeo, was planning a transatlantic voyage from Halifax to Bremerhaven in northern Europe. The Master of the vessel had planned to sail via the English Channel due to pilotage considerations, intending to follow a route via 40N 40W en route to the Channel. However, this route posed significant challenges. It would have exposed the vessel to significantly heavier head conditions associated with a lower-latitude storm system. This would have forced the Captain to increase speed and thus fuel consumption to maintain the scheduled arrival time. Additionally, the harsh conditions could have resulted in damage to the vessel and its assets, as well as posing safety hazards to the cargo and crew.
About The Customer
The customer in this case study is a container transportation company that was planning a transatlantic voyage from Halifax to Bremerhaven. The company is a client of StormGeo, a global provider of weather intelligence and decision support services. The company's vessel was initially set to sail a route that would have exposed it to harsh weather conditions, potentially leading to increased fuel consumption, damage to the vessel and its assets, and safety hazards to the cargo and crew. The company was open to route optimization suggestions from StormGeo to ensure a safe and cost-effective voyage.
The Solution
StormGeo, an expert in meteorological services, proposed an alternative route for the voyage. After studying the Captain’s intended route, they calculated that substantial savings were possible along a great circle route from Newfoundland to the Channel. This route, despite including 22 hours of additional sailing through the North American ECA zone, took advantage of high pressure and avoided the harsh conditions of the originally intended route. The recommended route was documented and sent to the client for approval, and then forwarded on to the ship captain for execution. This optimized route not only ensured the safety of the vessel, its assets, and crew but also resulted in significant savings in fuel consumption and associated CO2 emissions.
Operational Impact
  • The operational results of the optimized route were significant. The vessel was able to avoid the harsh weather conditions of the originally intended route, ensuring the safety of the vessel, its assets, and crew. The route also allowed the vessel to maintain its scheduled arrival time without having to increase speed and thus fuel consumption. The decision to switch to the optimized route also demonstrated the company's commitment to environmental sustainability, as it resulted in a significant reduction in CO2 emissions. Overall, the case highlights the potential of IoT-driven route optimization in enhancing operational efficiency, safety, and sustainability in the maritime industry.
Quantitative Benefit
  • Saved over 195 MT fuel oil
  • Reduced CO2 emissions by 585 MT
  • Saved $64,320 in costs

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