Optimised Fusion Model for Sulphur Abatement Solutions in Maritime Industry

  • Yuting Hu

Student thesis: Doctoral Thesis

Abstract

Currently, the maritime industry faces a formidable challenge following the International Maritime Organization's (IMO) announcement of new regulations, limiting ships' sulphur emissions to 0.5% from 2020, down from the previous 3.5%. This regulatory transformation underscores the immediate necessity for comprehensive strategies that can mitigate the industry's environmental impact while sustaining operational efficiency and economic viability.
In this context, this study aims to investigate and assess the most cost-effective sulphur abatement solutions tailored to diverse ship types and operational patterns. Employing a machine learning clustering model, this study conducts an advanced analysis of experimental data derived from various vessel types. The model incorporates clustering algorithms and statistical methods, optimizing data mining approaches to enhance accuracy and resource efficiency. By delving into these multifaceted interactions, the research aims to provide valuable insights into how the maritime sector can navigate the regulatory landscape, achieve sulphur abatement goals, and effectively manage the broader environmental and economic implications.
The results uncover distinct compliance strategies for vessels based on size and fuel consumption. Larger vessels benefit from scrubbers, while smaller vessels find distillates more advantageous. Additionally, the study reveals the paradoxical outcome of certain abatement solutions leading to increased SOx and COx emissions due to higher operational speeds. This thesis presents a novel approach by integrating environmental policy analysis with operational impacts in maritime shipping. It offers valuable insights into the economic and environmental consequences of different sulphur abatement options, emphasizing the complexities of environmental policy implementation in the maritime sector.
The findings contribute to the broader discourse on sustainable maritime practices, highlighting the need for comprehensive policy strategies that consider both local and global environmental impacts. This thesis underscores the importance of striking a balance between operational costs and environmental responsibilities, providing practical solutions for maritime stakeholders.

Date of Award15 Jul 2024
Original languageEnglish
Awarding Institution
  • University of Portsmouth
SupervisorShikun Zhou (Supervisor), Linda Yang (Supervisor) & David Sanders (Supervisor)

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