Affiliation:
1. Tokyo University of Marine Science and Technology
2. Chuo University
Abstract
Due to decarbonization and greenhouse gas (GHG) emission reduction attempts nowadays, liquefied natural gas (LNG) has become widely used as an alternative marine fuel. As Japan is the top global LNG importer and one of the largest crude oil importers, this study focuses on LNG and tanker shipping and their emissions in Japan, and import volumes. In this study, the emission estimation model is constructed based on the Holtrop-Mennen power prediction method. Using automatic identification system (AIS) data, fuel consumption and GHG emissions are estimated. Next, long term GHG emission is predicted using hthe Japan trade statistics. Combining the vessel movement data and trade statistics, GHG emission in Japan is projected to decline over years for tankers, and to remain stable for LNG carriers. The results could be considered in formulating environmental and trade policy. It is hoped the study will provide useful insights for zero emission projects and implementations in Japan.
Reference27 articles.
1. Benamara, H., Hoffmann, J. and Youssef, F. (2019). Maritime Transport: The Sustainability Imperative. Psaraftis, H. N. (Ed.). in: Sustainable Shipping A Cross-Disciplinary View, Springer Nature Switzerland AG, pp. 1-31.
2. Bereta, K., Chatzikokolakis, K. and Zissis, D. (2021). Maritime Reporting Systems. Artikis, A. and Zissis, D. (Ed.). in: Guide to Maritime Informatics, Springer Nature Switzerland AG, pp. 3-30.
3. Cerdeiro, Komaromi, Liu and Saeed. (2020). AIS Data Collected by MarineTraffic. available at UN COMTRADE Monitor https://comtrade.un.org/data/ais (accessed 07 September 2022).
4. Goldsworthy, B. (2017). Spatial and Temporal Allocation of Ship Exhaust Emissions in Australian Coastal Waters using AIS Data: Analysis and Treatment of Data Gaps. Atmospheric Environment, 163, 77-86.
5. Harvald, S.A. (1983). Resistance and Propulsion of Ships. John Wiley & Sons.