New analysis in the preliminary design for LNG and LPG ships

Abstract

In recent years, the production of LNG and LPG ships has increased, driven by the increasing demand for natural and petroleum gases. To meet this demand, ship designs must be optimized at all stages, requiring designers to have advanced, efficient and accurate design tools. This study presents new statistical and regression analyses of data extracted from the Hyundai Heavy Industries Shipbuilding Group catalogue which includes information on LNG and LPG ships built between 1979 and 2023. The database includes 145 LNG carriers and 322 LPG carriers, representing approximately 20% of the global gas carrier fleet. Simple and multiple regression analyses were used to estimate dependent variables and their correlation to other ship parameters. In addition, Machine Learning algorithms were trained and compared against these traditional methods. This study provides updated tools to support the preliminary design of LNG and LPG ships, enhancing the understanding and accuracy of early-stage design decisions.

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Authors & Affiliations

• Mariano Marcos-Pérez
  Universidad de Cádiz

• Javier Jiménez de la Jara
  Universidad de Cádiz

• Daniel Precioso
  IE University

• Aurelio Muñoz
  Universidad de Cádiz

• M. Victoria Redondo-Neble
  Universidad de Cádiz

• David Gómez-Ullate
  IE University