In maritime shipping, weather routing systems are popular to reduce fuel consumption and emissions. One of the most comprehensive overviews of applied optimization approaches to date has been compiled as part of this thesis. To ensure applicability for various types of ships and to reduce data requirements, weather-dependent ship motions and fuel consumption are frequently considered in a simplified way. Since simplifications are often regarded as insufficiently accurate, the objective of this thesis is to analyze the impact of ship performance methods on weather routing. Therefore, a graph based ship weather routing system is developed in C++. It aims at minimum fuel consumption by route and/or speed optimization. When optimizing a voyage, either a rather simple ship performance method, referred to as added resistance method, or a more advanced, so called added power method can be selected. The latter includes a maneuvering model as well as propeller and engine characteristics. Calculation runs for various routes, arrival times and weather conditions are performed and selected results are compared to data collected on board of container ships.
Development of a Weather Routing System for Analysis and Optimization of Ship Voyages
2021
Theses
Electronic Resource
Unknown
optimization , computer programming development , industrial applications of scientific research & technological innovation , WRS , shipping industries , weather routing , Logistiker , Wissenschaftler , Ship Voyages , weather , meteorology , Ingenieur , navigation & seamanship , computer software development , Reeder , shipbuilding technology, engineering & trades , operations research , Voyage Optimization , Betriebswirt , analysis , transport industries , maritime logistics
Comparing Two Optimization Approaches for Ship Weather Routing
British Library Conference Proceedings | 2016
|Modeling and optimization algorithms in ship weather routing
Fraunhofer Publica | 2016
|Ship emissions reduction using weather ship routing optimisation
SAGE Publications | 2022
|