The digital twinning is an important aspect of the evolving vessel management systems to reduce fuel consumption and predict operational parameters along the cruise route. Although the digital twinning of the vessels heavily operates on “pre-loaded” resistance data and engine parameters, it is becoming more important to generate real-time hydrodynamic & aerodynamic resistance data during cruising, with incoming weather, sea current and vessel trim/damage floating conditions along the route. For this purpose, the author aimed to develop a faster CFD methodology & algorithm to calculate the hydrodynamic & aerodynamic resistances, and then send the output to the digital twinning software of the vessel. The author aimed to develop a CFD code and algorithm that can be embedded to any Artificial Intelligence (A.I.) or Vessel Management Software to generate the resistance data in real time. The complexity of grid generation for RANSE calculations requires high density computer resources which increases the response time of the CFD software and the data flow. The other complexity is the adaptation of the “live cruise parameters” to the CFD software which significantly increases the calculation time. Although most programs focus on hydrodynamic calculation, with the implementation of this algorithm, both aerodynamic and hydrodynamic resistances of the vessel can be calculated at the same time.

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