scholarly journals Dynamic energy modelling for ship life-cycle performance assessment

2015 ◽  
Vol 110 ◽  
pp. 49-61 ◽  
Author(s):  
Jakub Cichowicz ◽  
Gerasimos Theotokatos ◽  
Dracos Vassalos
2019 ◽  
Vol 7 (8) ◽  
pp. 280 ◽  
Author(s):  
Paola Gualeni ◽  
Giordano Flore ◽  
Matteo Maggioncalda ◽  
Giorgia Marsano

Ships are among the most complex systems in the world. The always increasing interest in environmental aspects, the evolution of technologies and the introduction of new rule constraints in the maritime field have compelled the innovation of the ship design approach. At an early design stage, there is the need to compare different design solutions, also in terms of environmental performance, building and operative costs over the whole ship life cycle. In this context, the Life Cycle Performance Assessment (LCPA) tool allows an integrated design approach merging the evaluation of both costs and environmental performances on a comparative basis, among different design solutions. Starting from the first tool release, this work aims to focus on the maintenance of the propulsion system, developing a flexible calculation method for maintenance costs prediction, based on the ship operational profiles and the selected technical solution. After the improvement, the whole LCPA tool has been applied on a research vessel to evaluate, among different propulsion layout solutions, the one with the more advantageous performance in terms of costs during the whole vessel operating life. The identification of the best design solution is strictly dependent on the selection criterion and the point of view of the interested parties using the LCPA tool, e.g., the shipbuilder or the ship-owner.


2015 ◽  
Vol 2015 (1) ◽  
pp. 1-12
Author(s):  
Shaurav Alam ◽  
Erez Allouche ◽  
Ray Sterling ◽  
Wendy Condit ◽  
John Matthews ◽  
...  

2015 ◽  
Author(s):  
M Lehne ◽  
◽  
C Norden ◽  
S West ◽  
R Nagel ◽  
...  

2020 ◽  
Vol 10 (21) ◽  
pp. 7529 ◽  
Author(s):  
Qi Li ◽  
Yimin Wang ◽  
Kunbiao Zhang ◽  
Zhiyuan Cheng ◽  
Ziyu Tao

The subgrade performance assessment and targeted maintenance of a highway during operation is very important and challenging. This paper focuses on the performance of the whole life-cycle of a highway subgrade during the operational period. Four roads with different traffic volume and geological conditions were selected; 20 test sections of these 4 roads were examined for a three-year distress survey, and 18 specific subgrade distresses of the 5 assessment objects were tracked and collected. First, based on the analytic hierarchy process (AHP), the subgrade performance of the selected section is evaluated, and the subgrade performance index (SPI) at different time periods is obtained. Then, based on the internal and external factors which affect the subgrade, three algorithms to determine the optimal support vector machine (SVM) model were proposed to train and predict the SPI. The results show that the SPI predicted results based on the data time series and particle swarm optimization–least squares SVM (PSO–LSSVM) model are better than those based on grid search (Grid-SVM) and genetic algorithm (GA-SVM) models. Finally, this paper provides a detailed idea for the rational layout of subgrade life-cycle assessment and decision-making by establishing a subgrade performance assessment–prediction–maintenance–management architecture system.


Solar Energy ◽  
2014 ◽  
Vol 104 ◽  
pp. 93-102 ◽  
Author(s):  
Marco Beccali ◽  
Maurizio Cellura ◽  
Pietro Finocchiaro ◽  
Francesco Guarino ◽  
Sonia Longo ◽  
...  

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