Cruise ships power plant optimisation and comparative analysis

Abstract

The stringent regulatory framework for the emissions and safety from shipping operations as well as the market pressure to reduce the operational costs has led the cruise ship industry to pursue and investigate alternative solutions for both the new-built and the existing ships by using multi-objective optimisation methods. This study aims at investigating and comparatively analysing the optimal power plant solutions for different fuel types for an existing cruise ship by employing cost, emissions and safety objectives in a lifecycle basis. For this purpose, a bi-objective optimisation method is employed to identify optimal power plant configurations of a modern cruise ship considering the actual ship operational profile and several energy system design parameters. In subsequence, availability and the blackout event frequency were estimated using availability formulas and the Combinatorial Approach for Safety Assessment. The results demonstrate that the cruise ship power plant optimal configurations with dual fuel engines operating with natural gas exhibit lower lifecycle cost and lifetime emissions, whilst demonstrating a level of the systems safety comparable to the baseline power plant configuration. Furthermore, it is concluded that an increase in the generator sets redundancy does not necessary result in a considerable improvement of the power plant safety performance.

Optimization-Based Power and Energy Management System in Shipboard Microgrid: A Review

“…Tab. I gives a summary of Objectives References o1 [30], [32], [33], [39], [41]- [53] o2 [15], [30], [32], [39], [41], [46], [51]- [64] o3 [15], [32], [44], [50], [54]- [59], [61], [63]- [78] o4 [16], [45], [47], [60], [62], [67], [68], [71]- [73], [79]- [85] o5 [39] recent studies categorized by PMS/EMS objective functions while Tab. II presents an overview of the commonly used optimization methods.…”

“…In other examples to solve multi-objective PMS problems, Non-dominated Sorting Genetic Algorithm II (NSGA-II) has been utilized because of its ability to maintain a good spread of solutions and converge near the true Pareto-optimal set [95]. As in [15], [47], [58], [59], conflicting objectives of reducing GHG emission and overall operational cost are considered. Some additional objectives which are included in the cost function are optimizing ESS size, minimization of fuel consumption [39], [45], [46], and minimization of the overall mechanical losses [96].…”

Design of Cost-Effective and Emission-Aware Power Plant System for Integrated Electric Propulsion Ships

“…The application of dual fuel engines operating with natural gas is considered a cost-effective solution, while the combination of fuel cells and carbon capture technology is identified as leading to the greatest reduction of emissions released. The optimization of ship power plants in light of economic, environmental and safety criteria in a life cycle basis are investigated in [23]. The potential best alternative option involves the installation of dual fuel generator sets to improve economic and environmental performance without increasing the risk of system blackout.…”

Analysis of Gaussian fuzzy logic‐sliding model control and flexible AC transmission systems controllers for automatic generation control of hybrid power system under chaotic‐water cycle algorithm approach

“…The objective of all available forms of energy is to produce mechanical energy for the generation of electrical energy. The power plant has the responsibility to convert above forms of energy to the electrical energy 2 . In most of the conventional power plants, synchronous generator (SG) is the basic machinery equipment to produce electrical energy 3 .…”