Projects per year
Abstract
By adopting the concept of modularity, this paper introduced an optimal framework which facilitates life cycle assessment and life cycle cost assessment, thereby supporting rapid and reliable decision-making in the marine industry. The benefits of the proposed framework were discussed through two case studies where the optimal configurations of marine propulsion systems were determined from the economic and environmental perspectives. First, the performance of a short-route ferry using the hybrid system was compared with those of equivalent ships using diesel-electric and diesel-mechanical propulsion systems respectively. Research findings revealed the excellence of the hybrid system in both economic and environmental aspects. Second, the same method was applied to an offshore tug vessel to determine an optimal engine configuration. Results of analysis emphasised that the selection of multiple small-sized engines is more effective than two medium-sized engines. Both studies have proven that the proposed framework would be useful and practical for accelerating the life cycle analysis which allows ship designers and owners to obtain the long-term view of economic and environmental impacts for particular products or systems without demanding process. The paper also opened up the possibility of extending the application of the proposed framework to the areas where proper decision-making is essential but under-used.
Original language | English |
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Pages (from-to) | 111-130 |
Number of pages | 20 |
Journal | Journal of Cleaner Production |
Volume | 187 |
Early online date | 20 Mar 2018 |
DOIs | |
Publication status | Published - 20 Jun 2018 |
Keywords
- life cycle assessment
- life cycle cost analysis
- ship lifecycle design
- modularity
- hybrid ship
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Projects
- 1 Finished
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Ship Lifecycle Software Solutions (SHIPLYS) H2020 SC3
Zhou, P. (Principal Investigator), Yuan, Z. (Co-investigator), Oguz, E. (Fellow), Wang, H. (Fellow) & Jeong, B. (Researcher)
European Commission - Horizon Europe + H2020
1/09/16 → 31/08/19
Project: Research