Regression Formulas for the Prediction of Optimum Tank Capacities of Gas Carrier Ships from Exiting Ships Data

Abstract

This paper present 18 regression equations for the computation of
optimum gas tank capacity for a wide range of gas carrier vessels. This
presentation is to ensure that the optimum total gas carrying capacity
of a projected or existing gas carrier vessel with known principal
dimensions is adequately computed. The method is authenticated by
comparing the tank capacities it predicts, with that of 15 randomly
selected existing gas carrier ships. The method presented is important
to assure that a projected design of this type of ship meet owner’s
requirement regarding total gas tank capacity, to provide for
optimization in ship design and to assist in ship design software
development.