The novelty numerical simulation method for reducing the fuel oil consumption and the greenhouse gas emission in shipping transportation industry

Q2 Environmental Science

Cogent Environmental Science Pub Date : 2020-01-01 DOI:10.1080/23311843.2020.1809072

T. Tran

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引用次数: 5

Abstract

Abstract The reduction of the fuel consumption and the exhaust gases emission is always significant to improve the ship energy efficiency management in the field of shipping transportation industry. The study of the novelty numerical method has been addressed in this research to decrease the fuel consumption of diesel engine and restrict the exhaust gases emission from the ship operational activities. This numerical method was supported by Matlab simulation environment through the curve fitting tool. The internal factors related to the energy efficiency operational indicator (EEOI) would be investigated like the probability samples by the developing Monte Carlo (MC) simulation method. The central limit theorem of the numerical simulation method has been employed into the novelty method. The determination of the optimal values has also been collected from this proposed method. In particular, the heavy fuel oil is 1450 (Tons), the diesel oil is 13 (Tons), the mass of cargo carried is 130,000 (Tons), and the distance traveled is 7,500 (Nautical Miles) for the target ship. When we compared the fuel consumption value between the results collected from the novelty simulation method and the experimental data then the reduction of the fuel consumption is approximately 550 (Tons) corresponding to save 27.5% from the novelty numerical simulation method. Additionally, the future prediction trends for EEOI have also been approached with the high determination coefficient (R2) 0.99 and 0.9995, respectively. The EEOI index has also been dropped down 5.10−6 compared with the calculated value from the experimental data. So, this one was meaningful to reduce the exhaust gases emission through the reduction of the fuel consumption on ship. The research results will help the ship operators and ship owners to decrease the fuel consumption in the field of ship energy efficiency management.

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为降低航运业燃油消耗和温室气体排放提供了新颖的数值模拟方法

摘要降低船舶燃油消耗和废气排放一直是提高船舶能效管理水平的重要内容。为了降低柴油机的燃油消耗，限制船舶运行过程中产生的废气排放，本文研究了新颖的数值计算方法。该数值方法通过曲线拟合工具得到Matlab仿真环境的支持。利用正在发展的蒙特卡罗(MC)模拟方法，研究与能效运行指标(EEOI)相关的内部因素，就像研究概率样本一样。将数值模拟方法的中心极限定理应用到新颖性方法中。该方法还收集了最优值的确定。特别是重油为1450吨，柴油为13吨，载货量为13万吨，航行距离为7500海里。将新颖性数值模拟所得的油耗值与实验数据进行比较，发现新颖性数值模拟所得的油耗值减少约550吨，相当于节约27.5%。在较高的决定系数(R2)分别为0.99和0.9995的情况下，探讨了EEOI的未来预测趋势。与实验数据的计算值相比，EEOI指数也下降了5.10−6。因此，通过降低船舶燃油消耗来减少船舶废气排放具有重要意义。研究结果将有助于船舶经营者和船东在船舶能效管理领域降低燃油消耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cogent Environmental Science ENVIRONMENTAL SCIENCES-

自引率

0.00%

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审稿时长

13 weeks