Comparison of Diesel and Green Ship Carbon Emissions with A-Star Route Optimization

Mawaddatul Fatiha Ridwan,Malcolm Yoke Hean Low, Wen-Huey Lin

Communications in computer and information science(2023)

引用 0|浏览0
暂无评分
摘要
Approximately 2% of the world's carbon dioxide (CO2) emissions are attributed to international shipping, with the main source of carbon emissions from ships coming from the marine engines’ consumption of fossil fuels, especially heavy fuel oil. With the use of the A* algorithm for route optimization, this study compares the carbon emissions of diesel and greener ships by simulating the routing of 5000 TEU container ships through different weather conditions. In the study, data from dependable sources are gathered, carbon emissions are calculated, and routes are optimised utilising the A* algorithm. The outcomes show the discrepancies in carbon emissions between diesel and green ships, and the algorithm's success in lowering emissions through optimal route planning is demonstrated. The research highlights the significance of switching to more environmentally friendly options whilst providing useful information for the shipping industry. The study concludes with suggestions for more investigation and advancements in carbon emission reduction tactics. By utilizing the A* algorithm, this research enhances the study of ship emissions analysis while developing environmentally responsible behaviour in the marine industry.
更多
查看译文
关键词
green ship carbon emissions,diesel,a-star
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要