利用AIS轨迹评估船舶二氧化碳排放方法

Song Wu, K. Torp, M. Sakr, E. Zimányi
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引用次数: 0

摘要

准确估计航运二氧化碳排放量对于制定对抗温室效应的法规非常重要。在过去的几十年里,人们提出了许多船舶二氧化碳排放模型。然而,它们中的大多数只针对少数特定的船舶进行了验证,并且缺乏对这些模型进行大规模的数据驱动验证和比较。为了填补这一空白,本研究提出了一个通用的评估框架来定量验证和比较不同的排放模型。该框架基于三种数据源的数据集成:船舶技术细节、AIS轨迹和天气。与排放模型一起,这些数据被输入到三个精心设计的模块中,这些模块在网格和轨迹水平上进行分析,并使用每年汇总的燃料消耗地面数据。对通过丹麦水域的1,571艘船舶的一个月数据进行了广泛的实验,以证明该框架的实用性,并提出了五种流行的二氧化碳排放模型的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Vessel CO2 Emissions Methods using AIS Trajectories
Accurate estimation of shipping CO2 emissions is important for developing regulations to combat the greenhouse effect. Many shipping CO2 emissions models have been proposed in the past decades. However, most of them are only validated for a few specific ships, and there is a lack of data-driven validation and comparison of these models on a large scale. To fill this gap, this study proposes a general evaluation framework to quantitatively validate and compare different emission models. This framework is based on data integration of three types of data sources: ship technical details, AIS trajectory, and weather. Along with emission models, these data are fed into three carefully-designed modules that perform analysis at both grid and trajectory level as well as use annually aggregated fuel consumption ground truth. Extensive experiments are conducted on one-month data from 1,571 ships passing Danish waters to demonstrate the utility of the framework and insights into the accuracy of five popular CO2 emission models are presented.
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