Key Takeaways & Executive Findings
- •• Regression analysis successfully modeled the load-fuel consumption relationship for a marine diesel engine operating on diesel and hydrogen-enriched fuel. • The quadratic model provided a better fit than the linear model, with higher R² and no autocorrelation, indicating improved accuracy. • Hydrogen 5.0 F50 P200 demonstrated a measurable influence on fuel consumption compared to pure diesel, as evidenced by the derived mathematical models. • The proposed quantitative analysis methodology enables justified decisions on fuel efficiency improvements in marine diesel engines.
Abstract
The application of Regression Analysis and the results of the study and evaluation of the influence of Hydrogen 5.0 F50 P200 on fuel consumption under variable load operation of a marine diesel engine SKL 3NVD24 with two types of fuel are considered. A technology for quantitative analysis is proposed.
1. Introduction
The second part examines the results of mathematical modeling based on data from experiments conducted with a medium-frequency marine diesel engine SKL 3NVD24: four-stroke, 3 cylinders, rated power at 600 (min-1) – 44.1 kW, cylinder volume –5.76 (dm3), with variable load in the range of 0- 18 kg and operation on two types of fuel: diesel and Hydrogen 5.0 F50 P200. The experiments were conducted in the laboratory of the Naval Academy “N.Y. Vaptsarov”, Varna [3,7, 8].
The research technology includes a scientific search for qualitative mathematical models of the relationships load G kg, consumption for both types of fuel. The processing of experimental data is by the method of Regression Analysis (RA): determination of the coefficients of a model with a pre-selected structure and statistical analysis of its quality. Based on the mathematical models and their solutions, the degree of consumption of the respective fuel is determined. The relative error is determined, which is compared with the error from the experiments, after which a justified decision is made about the degree of influence of the fuel Hydrogen 5.0 F50 P200, compared to diesel fuel alone. The strategy of scientific research is: starting with the simplest structure of the model and complicating it, after checking its qualities, in order to reach a model with high quality [1, 4].
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Ivaylo Bakalov, Rositsa Bakalova (2025). Results of an Experimental Statistical Study of the Influence of Hydrogen on the CO Release and the Fuel Consumption of a Marine Diesel Engine. Quantitative Analysis Part II. SinoTechIntel Verified Research. https://doi.org/10.1016/S1872-5805(NCM2025-3-6)
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Frequently Asked Questions
What is the main objective of this study?
The main objective is to quantitatively analyze the influence of hydrogen (Hydrogen 5.0 F50 P200) on fuel consumption of a marine diesel engine using regression analysis.
Which engine was used in the experiments?
The experiments used a medium-frequency marine diesel engine SKL 3NVD24, a four-stroke, 3-cylinder engine with a rated power of 44.1 kW at 600 rpm.
What statistical method was applied?
Regression analysis was applied to model the relationship between engine load and fuel consumption for both diesel and hydrogen-enriched fuel.
What were the key findings regarding model quality?
The quadratic model showed better adequacy, higher Pearson correlation coefficient (0.99632), and no autocorrelation compared to the linear model, indicating a superior fit.
How does hydrogen influence fuel consumption?
The study provides mathematical models that allow a justified decision on the degree of influence of hydrogen on fuel consumption, suggesting a measurable effect compared to pure diesel.
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