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Monday, 16 September 2019
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Raw materials & technologies, Applications, Protective & Marine coatings

"Big Data" tool predicts impact of fouling control coatings on ship efficiency

Monday, 19 October 2015

A new tool for the shipping industry can accurately predict the potential fuel and CO2 savings offered by fouling control coatings.

With more than 3.5 billion data points, the tool accurately predicts the performance of a coatings technology. Source: AkzoNobel

With more than 3.5 billion data points, the tool accurately predicts the performance of a coatings technology. Source: AkzoNobel

With more than 3.5 billion data points, Intertrac Vision is a "Big Data" solution to accurately predict the performance of a coatings technology - before it has been applied.

Analysing hull roughness

It works by analysing factors such as hull roughness; the "roughness" associated with biofouling, and computational fluid dynamic studies carried out on different hull types. This vessel-specific information is then processed using proprietary algorithms to provide an accurate assessment of the impact of each potential fouling control coating choice, including a full cost-benefit analysis.

"Hull coatings play a key role in a vessel's profitability, so having an accurate understanding of the return on investment is an essential part of the decision-making process," explained Michael Hindmarsh, Project Lead for Intertrac Vision. "By offering this state-of-the-art tool, we can bring a new level of transparency and choice to the industry, working with customers to ensure that the most appropriate coatings solution is selected for each vessel within a fleet."

Four-year development phase

The advanced science has taken more than four years to develop. The work was led by AkzoNobel scientists in collaboration with academic and commercial research institutes, including the University College London Energy Institute, Maritime Research Institute Netherlands (MARIN), Newcastle University and more than 30 ship owners and operators.

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