The introduction of the energy efficiency design index (EEDI) and ballast water treatment regulations by the International Maritime Organization, the fluctuation of fuel price levels, along with the continuous endeavor of the shipping industry for economic growth and profits has led the shipbuilding industry to explore new and cost-efficient designs for various types of merchant ships. In this respect, proper use of modern computer-aided design/computer-aided engineering systems (CAD/CAE) extends the design space, while generating competitive designs with innovative features in short lead time. The present article deals with the parametric design and optimization of containerships. The developed methodology, which is based on the CAESES/Friendship-Framework software system, is demonstrated by the conceptual design and multiobjective optimization of a midsized, 6500-TEU containership. The methodology includes a complete parametric model of ship's external and internal geometry and the development and coding of all models necessary for the determination of the design constraints and the design efficiency indicators, which are used for the evaluation of parametrically generated designs. Such indicators defining the objective functions of a multi-objective optimization problem are herein the EEDI, the required freight rate, ship's zero ballast container box capacity, and the ratio of the above to below deck number of containers. The set-up multiobjective optimization problem is solved by use of genetic algorithms and clear Pareto fronts are generated. Identified optimal design proves very competitive compared to standard container ship designs of the market.
This article focuses on the optimisation of cargo handling operations of tankers. A combined hydraulic-energy model has been developed and adapted to the design characteristics of AFRAMAX tankers, allowing the simulation of a tanker's cargo discharging procedures, while monitoring all related ship parameters, like characteristics of pumps/manifolds, piping system, flow rates, pressures, ship responses, etc. A preference-based multi-criteria optimisation methodology has been additionally applied to the modelled simulation procedure, which results in practical guidelines for the optimisation of discharging procedure in terms of energy-fuel consumption and discharging time. These guidelines have proven very valuable in the decision-making process during cargo handling operations.
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