Optimised fusion model for meeting sulphur abatement standards in shipping industry

Yuting Hu, Shikun Zhou, David Sanders, Weicong Zhang, Linda Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

The International Maritime Organization (IMO) enforced stricter sulphur abatement regulations since shipping emission has become one of the most major cause of the atmospheric pollution. Experts from the industry and academicians try to find the balanced solution among low-sulphur fuel, clean energy, and purposely fit scrubber by conventional statistical methods however failed to reach a satisfying conclusion. In addition, maritime datasets are usually massive, multi-source, and heterogeneous, it seems imperative for the maritime industry to adapt to the worldwide trend of intellectualisation and promote sustainable development. This work delineates and compares three main sulphur abatement solutions for ships through a thorough investigation of the current research state, and proposes a new framework based on a fusion model using modern big data and data mining algorithms. This work identifies and summarises major factors (with high impacts) in sulphur abatement solutions in the ocean shipping industry and integrate those high-level impacting factors to the proposed fusion model. The proposed framework can be optimised and utilised in determining suitable solutions for different ships, as well as shipping routes.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021
EditorsW. K. Chan, Bill Claycomb, Hiroki Takakura, Ji-Jiang Yang, Yuuichi Teranishi, Dave Towey, Sergio Segura, Hossain Shahriar, Sorel Reisman, Sheikh Iqbal Ahamed
PublisherIEEE
Pages1165-1169
Number of pages5
ISBN (Electronic)9781665424639
ISBN (Print)9781665424646
DOIs
Publication statusPublished - 9 Sep 2021
Event45th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2021 - Virtual, Online, Spain
Duration: 12 Jul 202116 Jul 2021

Publication series

NameIEEE COMPSAC Proceedings Series
PublisherIEEE
ISSN (Print)0730-3157

Conference

Conference45th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2021
Country/TerritorySpain
CityVirtual, Online
Period12/07/2116/07/21

Keywords

  • Big data
  • Clustering algorithm
  • Data mining
  • Maritime industry
  • Sulphur abatement

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