| dc.description.abstract | In the conceptual design phase of a ship, some of the parameters of the ship are required to be estimated to allow engineers proceed to other stages of the design . A ship is a complex structure which can be divided into many areas, in the conceptual phase some engineers might be involved in the design of the hull (structure) while others might be involved in the machinery of the ship. There are many tools and software that aid engineers in designing the hull while only few tools are available for analysis of the machinery of the ship.
Therefore in this thesis, an application for ship machinery configuration analysis will be developed. The development of the software will be done with JavaScript programming language, where a concept in JavaScript called ``Object-Oriented Programming " (OOP) will be used. The application that will be developed will use the concept of open-source software to allow a wide range of engineers to contribute to the development of the system.
To develop the application, the thesis uses the concept of OOP to represent the machinery as an object where methods are added to the object. These objects and methods for each machinery were then used to build the software. The application is divided into 7 modules which include resistance module for estimation of resistance, propeller module for propeller analysis, SFOC module for engine performance analysis, power source module for the different power source example diesel engine and battery storage, simulation module for performing different simulations (transit and DP), PMS module is an algorithm that is designed to performing the functions of a PMS on a vessel which is integrated into the software, and data insights module is used for the analysis of the data generated during simulation. With these modules, a complex simulation could be made where these modules interact with one another. The result of the thesis is software that allows a user to perform analysis with different machinery configuration.\\
The software developed was used to perform an analysis case study with NTNU research Vessel Gunnerus. The first analysis of the vessel was a simulation in transit mode, where the vessel moves from Trondheim to Aalesund. The analysis from the data insight is the emission, fuel consumption, and others. The second analysis is done to determine the dynamic load effects on gunnerus engine in a rough environment with different machinery configurations. One configuration is an hybrid (DE and battery pack) installed and another configuration is DE. The results of the two configurations were compared with each other, which shows that the result of the simulation with DE configuration will have a large impact from the dynamic load on the gen-set which results in low efficiency of the gen-set and therefore resulting in higher emission and fuel consumption. | |
