MariData

Environmental factors like sea state, wind and fouling affect a ship's operation with regard to required power or achievable speed. Since design conditions are normally chosen to be a smooth hull in calm water, the performance of the ship in realistic conditions is often unknown a priori and only learned about during the operation of each ship. This research project aims at better understanding the underlying physical phenomen and predicting the ship operation point in real conditions. The target of the joint research project is to develop a tool to enable a informed decision about routing options by the ship operator.

High level numerical simulations are run to generate a data basis for surrogate models. They are validated with full scale measurements on multiple vessels. The surrogate models are necessary to give real time prognosis in up-to-date predictions for environmental conditions. Due to the high number of considered environmental factors it is not feasible to explore the whole parameter space with simulations. Instead, the surrogate models will be designed in a modular way so internal characteristics of interest like the ship wake field can then be superposed from contributions by different environmental sources before predicting the ship operation condition.

Within the MariModUm project the additional resistances due to waves, wind and fouling are considered in detail. Detailed simulations of the different resistance components are performed and surrogate models are developed. In this context, the conditions, such as variable floating positions and the distribution of cargo on deck are taken into account. The quantification of the individual resistance components is based on high-resolution numerical simulations, whose accuracy and computational efficiency will be improved first.  
For the integration into the onboard ship system, a calculation of the individual drag components in near-real time is required. The fluid fields of the different high-resolution simulations are the data basis for surrogate models. These models consider an extensive parameter set of input variables and determine the resistance components on board. The developed methods are validated on the basis of operating data from real ship ship operation.

Hamburgische Schiffbau-Versuchsanstalt GmbH

AVL Deutschland GmbH

Entwicklungszentrum für Schiffstechnik und Transportsysteme e.V.

Friendship Systems AG

Technische Universität Berlin

Technische Universität Hamburg

52°North - Initiative for Geospatial Open Source Software GmbH

Universität zu Lübeck

Maritimes Zentrum der Hochschule Flensburg,

C. Büttner Shipmanagement

AVL Software & Functions

M. Abdel-Maksoud, T. Rung, R. Angerbauer, M.Scharf