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IMPROVING SHIP SUSTAINABILITY BY RE-USING ENGINEERING SIMULATORS IN MULTI-OBJECTIVE OPTIMIZATION
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DOI：10.5750/ijme.v164iA3.1164.png)
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Abstract
En 中文
Modelling and simulation provide a systematic approach for evaluating system design and control concepts with respect to energy efficiency and operability. Adding optimization offers a way to utilize the models more comprehensively. This research deals with simulation-based optimization with the leading principles to use an existing system simulator as black-box in the optimization, and to take advantage of cloud computing. A case of an environmentally sustainable cruise ship design was selected. Alternatives for enhancing the ship's energy efficiency were investigated by introducing different waste heat recovery technologies and battery systems in the machinery. The ship designer's in-house ship energy system simulator was prepared for the optimization framework. Multi-objective optimization scenarios with economic and environmental objectives were conducted using genetic algorithm. Also, the main engines' running hours were of interest. The method was successfully used for finding the best overall solution in this complex ship energy system design task. The results suggest that adding battery capacity alone contributes very moderately to reducing the case ship fuel consumption and, therefore, carbon emissions. A combination of steam turbines and organic Rankine cycle units offered the largest fuel saving potential with the lowest investment cost. The presented optimization approach can bring significant added value for sustainable ship design with minor additional effort on top of the normal modelling activities in the design phase. The research revealed that to streamline the optimization step the simulation input and output management, the resultant validity checking, and the error handling should be anticipated already during the construction of the simulator.
Keywords:
Simulation-based optimization
cloud computing
ship design
battery
waste heat recovery
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