Spatial Analysis of an Emission Inventory from Liquefied Natural Gas Fleet Based on Automatic Identification System Database

Hoegwon Kim, Daisuke Watanabe, Shigeki Toriumi and Enna Hirata
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Hoegwon Kim: Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan
Daisuke Watanabe: Department of Logistics and Information Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan
Shigeki Toriumi: Department of Information and System Engineering, Chuo University, Tokyo 112-8551, Japan
Enna Hirata: Center for Mathematical and Data Sciences, Kobe University, Kobe 657-8501, Japan

Sustainability, 2021, vol. 13, issue 3, 1-16

Abstract: Many states are actively working toward regulating CO 2 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, CO 2 , CH 4 , CH 4 , N 2 O, NO x , CO and non-methane volatile organic compounds (NMVOCs) around the world and bunker consumption from a liquified natural gas (LNG) fleet under the assumption that a LNG fleet uses LNG as fuel. Using position data calculated from an AIS database, we made comparisons regarding the LNG trade amount and bunker consumption of LNG fleet, as well as the total CO 2 inventory and CO 2 emissions from LNG fleet in the vicinity of the coasts of relevant countries. The result provides insights into (1) how the emissions and bunker consumption from LNG fleet is distributed, (2) which countries are taking relatively more advantages of LNG trade, and (3) which countries are suffering possible harmful effects.

Keywords: liquified natural gas (LNG); Automatic Identification System (AIS); spatial analysis; greenhouse gases (GHGs); bunker; emissions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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