Modeling the impact of electrofuels on marine engine performance
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Journal Title
Journal ISSN
Volume Title
Insinööritieteiden korkeakoulu |
Master's thesis
Author
Date
2024-06-10
Department
Major/Subject
Mcode
Degree programme
Master's Programme in Mechanical Engineering (MEC)
Language
en
Pages
63+2
Series
Abstract
This research work as a part of CASEMATE project aims to contribute to a sustainable society by the utilization of alternative fuels. This study focusses on the impact of fuel properties on diesel engine performance, and it has been benefited by numerous literature reviews and scientific articles. There is noticeable relationship between fuel properties and operating parameters of engine. Fuels that are studied in this research work are HFO, LFO, LNG, methanol, and ammonia. The main objective is to perform a mathematical modeling using multilinear regression technique for these fuels to evaluate the engine efficiency. Density, cetane number, net calorific value and air fuel ratio are chosen as critical fuel properties. The results obtained from the modeling include the model equation that clarifies the relationship between these fuel properties and energy-based fuel consumption in kJ/kWh. Mathematical model developed in this study predicts performance of engine according to fuel consumption (FC) from end user perspective. In the study, the mathematical modeling has been performed on relative values, where input and output values are presented as percentage changes relative to the HFO which is kept as reference. Moreover, the accuracy is confirmed through R-square value 0,94101, which indicates a particularly strong fit with good absolute error 0,689, Mean Absolute Error (MAE) 0,68 and Root Mean Square Error (RMSE) 0,88 in fuel consumption. Cross validation is also performed to further confirms the accuracy of the model, which demonstrates the average errors and P-values within acceptable ranges of MAE 0,91 and RMSE 1,14. This is the first study in this field which utilizes the mathematical modeling of dual-fuel engine process. The results and findings from the study offers important insights to optimize the fuel mixtures for the performance and efficiency of engine, contributing to the advancement in the sustainability in maritime fuel usage.Description
Supervisor
Kaario, OssiThesis advisor
Wojcieszyk, MichalKroyan, Yuri
Keywords
mathematical modeling, dual fuel engine, fuel properties, fuel consumption, alternative fuels, multiple linear regression
