DNV GL Award Winners 2015
Winner „Safer“
Name: Alexander Iley
Nationality: British
University: University of Southampton, MEng Ship Science
Master thesis: Embarkation Modelling For Improved Lifeboat Design.
Short Abstract:
Lifeboats have increased dramatically in size over the past hundred years. However, there has
been a failing to improve embarkation characteristics. The internal layout of lifeboats has not
been developed to compensate for the increase in capacity. The marine industry has been
demanding a start to computer modelling of the internal layout of lifeboats for some years.
This project aims to begin this innovative process. A computer model of the internal design of
the Schat-Harding CRV55, the largest lifeboat to date, was developed. This model was
analysed in MassMotion, an industry respected people flow simulator used primarily for large
public infrastructure projects. These simulations enabled an understanding of the factors
which affect lifeboat embarkation. Altering passenger width and target walking speeds created
different passenger mix cases. These cases were used to evaluate their effect on embarkation
times and to reduce the impact of extreme passenger mix cases on those times. Internal
layout design changes were made and analysed to improve the embarkation characteristics.
These design changes were combined and evaluated as a whole and then developed further.
The final design showed significant improvements in embarkation characteristics, both in
terms of time and passenger mix flexibility, with only a relatively small reduction in capacity.
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Winner „Smarter
Name: Eva Herradón de Grado
Nationality: Spanish
University: Polytechnic University of Madrid (UPM). Naval and Ocean Engineering.
Master thesis: Predicting Added Resistance in Wind and Waves employing Artificial Neural
Nets
Short Abstract:
Wind and waves cause involuntary loss of ship speed and reduce the propulsive efficiency. In
this paper, wind added resistance is obtained through the STA-JIP curves. For the prediction of
the added resistance in waves, Artificial Neural Networks are used. The good agreement
obtained between the experimental and predicted data suggest a potential application of this
technology to predict added resistance in the early stages of ship design.
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Winner „Greener“
Name:
Damien Ducasse
Nationality:
French
University:
Technical University of Denmark (DTU)
Master thesis: Theoretical and Numerical Analysis of Oscillating Water Column Wave Energy
Devices
Short Abstract:
The objective of this project is to perform numerical simulations of an attenuator-type wave energy
converter (WEC), based on a design which has already been established. This device is made of 40
oscillating water column (OWC) chambers which move together in the waves and a model at scale 1:50
has been previously tested by two Bachelor students in a wave basin at HMRC in Ireland. The scope of
these simulations is to verify a numerical model for the behavior that has been observed during these
tests and to allow for an optimization of each chamber’s energy absorption. Further experiments have
also been carried out on a single fixed OWC chamber in a wave flume in DTU in order to carefully
validate the numerical model.
Figure 1: Numerical model
Figure 2: Experimental model
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