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University of Ontario Institute of Technology

Analysis and optimal planning of nuclear-renewable hybrid energy systems for ships

Abstract

dc:description.abstract

Ocean-going ships are one of the sources of global GHG emissions. Several actions are being taken to reduce the GHG emissions from maritime vessels, and integration of Renewable Energy Sources (RESs) is one of them. Due to some limitations, RESs are not suitable for large ships and often mix with fossil fuel-based generators. Fossil fuel-based generators need to be replaced by emissions-free energy sources to make marine ships free from emissions. Nuclear energy is emissions-free, and small-scale nuclear reactors like Microreactors (MRs) have the potential to replace fossil fuel-based generators. In this study, the technical, economic, and environmental competitiveness of Nuclear-Renewable Hybrid Energy Systems (N-R HES) in marine ships are assessed. The results determine that N-R HES has the lowest NPC compared to the other conventional energy systems. A sensitivity analysis is carried out to see the impact of different system parameters on this study's findings.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Nuclear Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Adham, Md Ibrahim
Advisor dc:contributor.advisor
  • Gaber, Hossam

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1323
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1323

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Adham, Md Ibrahim. Analysis and optimal planning of nuclear-renewable hybrid energy systems for ships. University of Ontario Institute of Technology, 2021. https://hdl.handle.net/10155/1323