The secret to a successful fuel consumption model
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The secret to a successful fuel consumption model

Oldendorff was able to improve their fuel consumption simulation model and calculate paths that consumed the least amount of fuel with Spire Weather

Oldendorff, one of the world’s largest dry bulk shipping companies, which ships and trans-ships over 300 million tons of bulk cargo every year used Spire Weather to improve the accuracy of their fuel consumption model.

By adding Spire Weather to their simulation model, Oldendorff was able to improve their fuel consumption simulation model and calculate paths that consumed the least amount of fuel. Innovation and the importance of data analytics are at the heart of Oldendorff’s strategy, making them one of the most data-driven companies in the maritime industry.

 

“People in the maritime industry still underestimate the value that good weather data can bring to their business.”

Mike Pearmain, Chief Data Scientist – Oldendorff Carriers

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Their Challenge

Reduce fuel costs and CO2 emissions by integrating weather insights into a fuel consumption model in order to:

  • Navigate more efficiently by minimizing the time of transit and fuel consumption.
  • Be ready for the IMO 2020 requirements to anticipate the cost volatility of low sulphur fuel and optimize course schedule

The Solution

Definition of all the possible paths

Oldendorff created a model considering origin, destination, voyage constraints, and navigation conditions to generate a list of possible routes.

Adding Spire weather forecast to each path

Next they forecasted future weather conditions, adding a new layer of information to evaluate potential efficiencies (ie, currents and waves) and risks of taking each path.

Vessel simulation model

Vessels respond differently to weather and ocean conditions. Creating a digital twin simulates fuel consumption according to vessel characteristics and route conditions.

The results

Using Spire Weather, Oldendorff were able to drive 2.5% more accuracy to their fuel consumption model which is equivalent to a prediction 5.61 times closer in terms of fuel consumption over a seven-day period. This translates to:

  • 5.6 Tons of fuel consumption
  • 17.5 Tons of CO2 emissions.
 

“If we only save 1% of fuel on every trip every day, we could significantly reduce our CO2 emissions’’

Mike Pearmain, Chief Data Scientist

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The secret to a successful fuel consumption model

Oldendorff was able to improve their fuel consumption simulation model and calculate paths that consumed the least amount of fuel with Spire Weather

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