CFD analysis for onboard anemometer bias

OceanSync collects real time weather data, such as wind speed, wind direction, wave height and other atmospheric conditions on board of seafaring ships. Accurate data collection can be used to improve weather forecast, ocean/atmosphere modeling, satellite validation, climate change studies and reduce ships’ environmental footprint and transport costs. However, wind measurements made on ships are impacted by the location of the anemometer, wind speed, heading angle, and ship superstructure geometry. There are potential biases caused by the distortion of the air flow around the ship. In this project, high fidelity Computation Fluid Dynamic (CFD) simulation of the wind flow field around a container ship superstructure will be performed. The distortion of the flow field around the ship superstructure will be investigated and measurement bias will be quantified.

Faculty Supervisor:

Heather Peng

Student:

Partner:

Oceansync

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program: