船用柴油发电机燃料消耗和排放的回归模型估计

IF 0.8 Q3 ENGINEERING, MARINE
O. Yüksel, Burak Köseoğlu
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引用次数: 3

摘要

本研究旨在估计船用柴油发电机的燃料消耗。从一艘远洋石油/化学品油轮上收集船舶发电装置和港口停靠的客观技术规范和运行数据,并在Python和MATLAB环境中开发该装置的数学模型。该模型由交流发电机、原动机和船舶发电装置的负载分布组成,并提供基于运行小时数和特定燃料消耗数据计算的以公吨为单位的燃料消耗信息。回归模型有助于预测该工厂未来的燃料消耗,并通过比较四种不同的算法确定了数据集的最佳模型。由于结果表明普通最小二乘回归是最优的,它被用来做一个,五年和十年的预测。1年、5年和10年的预测量分别为4,322,436、10,684,860和18,615,472吨。所选模型预测油耗的R2为0.999,MAE为3.932,RMSE为2.935。燃料消耗预测有助于工厂排放计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regression Modelling Estimation of Marine Diesel Generator Fuel Consumption and Emissions
This study aims to estimate the fuel consumption of marine diesel generators onboard. Objective technical specifications and operational data on the ship's power generating plants and port calls were collected from an oceangoing oil/chemical tanker and used to develop the mathematical model of the plant in the Python and MATLAB environment. The model consists of alternators, prime movers and load distributions of the ship’s power generating plant and provides information on fuel consumption in metric tons calculated based on hours of operation and specific fuel consumption data. Regression models have helped predict future fuel consumption for the plant and the optimal model for the dataset was identified by comparing four different algorithms. As the results have shown the Ordinary Least Squares Regression to be optimum, it was used to make one, five, and ten-year predictions. The predictions for one-year, five-year, and ten-year periods are 4,322,436, 10,684,860, and 18,615,472 t respectively. The selected model predicts fuel consumption with R2 of 0.999, MAE of 3.932, and RMSE of 2.935. Fuel consumption predictions facilitated plant emission calculation.
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来源期刊
CiteScore
1.50
自引率
12.50%
发文量
0
期刊介绍: ToMS is a scientific journal with international peer review which publishes papers in the following areas: ~ Marine Engineering, ~ Navigation, ~ Safety Systems, ~ Marine Ecology, ~ Marine Fisheries, ~ Hydrography, ~ Marine Automation and Electronics, ~ Transportation and Modes of Transport, ~ Marine Information Systems, ~ Maritime Law, ~ Management of Marine Systems, ~ Marine Finance, ~ Bleeding-Edge Technologies, ~ Multimodal Transport, ~ Psycho-social and Legal Aspects of Long-term Working Aboard. The journal is published in English as an open access journal, and as a classic paper journal (in limited editions). ToMS aims to present best maritime research from South East Europe, particularly the Mediterranean area. Articles will be double-blind reviewed by three reviewers. With the intention of providing an international perspective at least one of the reviewers will be from abroad. ToMS also promotes scientific collaboration with students and has a section titled Students’ ToMS. These papers also undergo strict peer reviews. Furthermore, the Journal publishes short reviews on significant papers, books and workshops in the fields of maritime science.
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