2021
DOI: 10.3390/su13031250
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Spatial Analysis of an Emission Inventory from Liquefied Natural Gas Fleet Based on Automatic Identification System Database

Abstract: Many states are actively working toward regulating CO2 emissions from a wide range of industries. However, due to the international characteristic of shipping, the emissions from shipping have not yet been strictly controlled. Using Automatic Identification System (AIS) data acquired through satellites, this study estimates the emission inventory, such as, CO2, CH4, CH4, N2O, NOx, CO and non-methane volatile organic compounds (NMVOCs) around the world and bunker consumption from a liquified natural gas (LNG) f… Show more

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Cited by 8 publications
(6 citation statements)
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“…Li et al (2016) investigated uncertainties in ship emission inventory in the Pearl River Delta region. Kim et al (2021) estimated the global LNG fleet emission inventory spatially. Woo and Im (2021) studied the gas emission inventory in Busan by bottom-up approach.…”
Section: Background On Automatic Identification System (Ais)mentioning
confidence: 99%
“…Li et al (2016) investigated uncertainties in ship emission inventory in the Pearl River Delta region. Kim et al (2021) estimated the global LNG fleet emission inventory spatially. Woo and Im (2021) studied the gas emission inventory in Busan by bottom-up approach.…”
Section: Background On Automatic Identification System (Ais)mentioning
confidence: 99%
“…Regarding CO 2 emissions per weight-unit of cargo, the shipping industry is considered the most eco-friendly and efficient transportation system [1][2][3]. However, CO 2 emissions from shipping have reached 2.89% of worldwide CO 2 emissions [4].…”
Section: Introductionmentioning
confidence: 99%
“…Gas emissions caused by shipping have been actively analyzed by the International Maritime Organization (IMO) since 2018 in order to establish a long-term plan to manage such emissions starting in 2023 [2]. The European Union (EU) is leading efforts to control marine gas emissions.…”
Section: Introductionmentioning
confidence: 99%
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