Abstract

Currently, the total generator capacity installed in most ships is greater than the required capacity. In addition, due to new environmental regulations, various auxiliary gears are required to avoid breaking the law. Therefore, the internal environments of ships, such as their machine rooms, have become narrower, making creating space more important than ever before. This paper provides a method for optimizing generator capacity through an analysis of total load data in order to avoid overestimating the generator capacity. In addition, an actual situation in which the generator capacity is determined by the number of cylinders is considered. Three practical case studies with different possible combinations of generators and varying capacities are presented. Therefore, this method can secure space and reduce weight, which can be beneficial in many ways. Additionally, since it does not require various types of data, this information can be used for already built ships or those that will be made in the future.

Highlights

  • The total generator capacity installed in most ships is greater than the required capacity

  • This paper proposes the Generator Capacity Selection Index (GCSI) method as a mathematical model that can be used to find out which generator capacity is the most optimal by comparing case studies

  • The total load data were analyzed by excluding interfering data

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Summary

Introduction

The total generator capacity installed in most ships is greater than the required capacity. Three practical case studies with different possible combinations of generators and varying capacities are presented This method can secure space and reduce weight, which can be beneficial in many ways. Since it does not require various types of data, this information can be used for already built ships or those that will be made in the future. Ships that are already sailing need additional equipment to reduce SOx in the existing facilities, so their engine rooms will become narrower and their weight will significantly increase. The existing calculation method involves finding the generator capacity where the maximum load is

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