COMPARISON OF A FULL-SCALE AND A 1:10 SCALE LOW-SPEED TWO-STROKE MARINE ENGINE USING COMPUTATIONAL FLUID DYNAMICS

被引:0
作者
Chuahy, Flavio Dal Forno [1 ]
Finney, Charles E. A. [1 ]
Kaul, Brian C. [1 ]
Kass, Michael D. [1 ]
机构
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37830 USA
来源
PROCEEDINGS OF ASME 2024 ICE FORWARD CONFERENCE, ICEF2024 | 2024年
关键词
marine; two-stroke; combustion; scaling; diesel;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
International marine shipping is a growing component of international trade; a vast majority of all the world's goods are being transported on large ocean-going vessels. The International Maritime Organization (IMO) introduced the Energy Efficiency Design Index (EEDI) in 2013, a regulatory framework of associated metrics for reducing emissions of CO2 per tonne-mile from shipping by approximately 10% each decade. Therefore, decarbonizing the maritime sector requires the development of new fuel sources. Because of the extremely large physical size of the internal combustion engines present in shipping vessels, experimental iterative development of the engine and fuel system is cost-prohibitive. Thus, the ability to perform combustion system development in a scaled platform that can be more easily operated and modeled computationally is of interest. To that end, scaling relationships are needed to translate the results from a smaller engine to a larger counterpart. Scaling studies to date have been restricted to low scaling ratios, four-stroke light-duty engines, and under-resolved computational fluid dynamic simulations that likely do not accurately capture the physics of scaling. In this work, computational models of a 1:10 scale and a full-scale two-stroke crosshead low-speed marine engine were created and validated against experiments obtained in a real 1:10 scale engine installed at Oak Ridge National Laboratory (ORNL). Due to the large size of the full-scale engine, the model required large high-performance computing resources to be evaluated. The availability of high-performance computing resources at the Department of Energy's Leadership Computing Facilities is an enabler of the current work. The results of the small- and large-scale engine simulations were compared to analyze the effectiveness of the appropriate scaling laws under these extreme scaling ratio conditions.
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页数:9
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