Exhaust emissions reduction and fuel consumption from the LNG energy system depending on the ship operating modes

IF 0.5 Q4 TRANSPORTATION Pomorstvo-Scientific Journal of Maritime Research Pub Date : 2022-12-23 DOI:10.31217/p.36.2.17
Siniša Martinić-Cezar, Karlo Bratić, Z. Jurić, N. Račić
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Abstract

In today’s environment of increasing pressure to reduce fuel consumption and emissions of carbon dioxide (CO2) and nitrogen oxides (NOx), the LNG (Liquefied Natural Gas) transportation industry is growing in size and influence. In this context, further efforts are needed to improve the energy efficiency of LNG marine energy power plant. The LNG vessels and their equipment considered in this study have different power consumption requirements depending on the vessel’s mode of operation (loading/unloading, maneuvering, anchoring, at sea, etc.). For each ship mode, where the power plant requirements are the same, the specific fuel consumption (SFOC) and exhaust emissions, NOx and CO2, are compared with a different number of engines in the network to find the optimal number of engines in the network, considering both the safety aspect and the port requirements. An analysis was performed showing the efficiency of the on-board power management system (PMS) in terms of manual load sharing between engines. A comprehensive analysis of the data and its comparison led to the conclusion that the manual distribution of power among the engines is the slightly better solution. The obtained results show that further analysis of the number of engines for a given load with minimum fuel consumption and CO2 and NOx emissions is required.
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液化天然气能源系统的废气排放减少和燃料消耗取决于船舶运行模式
在当今减少燃料消耗和二氧化碳(CO2)和氮氧化物(NOx)排放的压力越来越大的环境中,液化天然气运输行业的规模和影响力正在增长。在这种情况下,需要进一步努力提高液化天然气海洋能源发电厂的能源效率。本研究中考虑的液化天然气船舶及其设备根据船舶的操作模式(装载/卸载、操纵、锚定、海上等)有不同的功耗要求。对于每种船舶模式,在发电厂要求相同的情况下,比燃料消耗量(SFOC)和废气排放量、NOx和CO2,与网络中不同数量的引擎进行比较,以在考虑安全方面和端口要求的情况下找到网络中的最佳引擎数量。进行了一项分析,显示了车载功率管理系统(PMS)在发动机之间手动分担负载方面的效率。对数据的全面分析及其比较得出的结论是,在发动机之间手动分配功率是稍微好一点的解决方案。所获得的结果表明,对于具有最小燃料消耗和CO2和NOx排放的给定负载,需要进一步分析发动机的数量。
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
19
审稿时长
8 weeks
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