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Ship design decision support for a carbon dioxide constrained future

The future may herald higher energy prices and greater regulation of shipping's greenhouse gas emissions. Especially with the introduction of the Energy Efficiency Design Index (EEDI), tools are needed to assist engineers in selecting the best solutions to meet evolving requirements for reducing fuel consumption and associated carbon dioxide (CO₂) emissions. To that end, a concept design tool, the Ship Impact Model (SIM), for quickly calculating the technical performance of a ship with different CO₂ reducing technologies at an early design stage has been developed. The basis for this model is the calculation of changes from a known baseline ship and the consideration of profitability as the main incentive for ship owners or operators to invest in technologies that reduce CO₂ emissions. The model and its interface with different technologies (including different energy sources) is flexible to different technology options; having been developed alongside technology reviews and design studies carried out by the partners in two different projects, ``Low Carbon Shipping - A Systems Approach'' majority funded by the RCUK energy programme and ``Energy Technology Institute Heavy Duty Vehicle Efficiency - Marine'' led by Rolls-Royce. The model has been used alongside a wider economic and logistic model of the international shipping system, the focus of which is on large cargo ships engaged in ocean-crossing trade, to potentially advise on regulation and what CO₂ emission reductions are possible from shipping. The Ship Impact Model (SIM) allows a large design space to be explored quickly, incorporating economic considerations at a single ship level and supporting combinations of technologies and design and operational parameters. Whilst considering that comparisons against actual ship data have been limited, the model has a high enough fidelity and accuracy to be used as a decision tool in the selection between different technologies (providing the technologies are adequately described).
Date January 2014
CreatorsCalleya, J. N.
PublisherUniversity College London (University of London)
Source SetsEthos UK
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation

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