Literature DB >> 31026800

The relationship between the development of global maritime fleets and GHG emission from shipping.

Jihong Chen1, Yijie Fei2, Zheng Wan3.   

Abstract

International shipping currently accounts for about 3% of total global greenhouse gas (GHG) emissions, but would continue to rise as transport capacity expands. If the shipping industry aims at delivering its proportionate contribution to curbing global warming under the Paris agreement, the sector has to, inevitably, promote energy conservation and emission reduction. A rapidly growing oceangoing fleet size and correspondingly rising GHG emissions on a global scale raise an interesting research question: could a certain relationship between the two be characterized as a function so that further emissions can be forecast based on the model? The paper adopts an allometric approach based on biological scaling laws to explore the potential relationship between the fleet size and corresponding GHG emissions from shipping. The results show that both the slowdown of the navigation speed and the current implementation of the Energy Efficiency Design Index (EEDI) and Energy Efficiency Operation Index (EEOI) are effective on the whole. By employing the model, the development trends of GHG emissions from shipping in the future can be better understood. Through model applications and result analysis, numerical results validate the effectiveness of this method. The paper not only studies the development of GHG emissions from shipping in the past, but aslo evaluates its specific emission quantities in the future which is in line with the GHG emission reduction targets proposed by IMO on the 72nd IMO meeting, which will be helpful for policy decisions on the quota of GHG emissions to the International Maritime Organization (IMO) and port administrators.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Allometric relationship; Energy conservation and emission reduction; Fleet development; GHG emissions from marine shipping; Green shipping

Mesh:

Substances:

Year:  2019        PMID: 31026800     DOI: 10.1016/j.jenvman.2019.03.136

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Drop-in fuels from sunlight and air.

Authors:  Remo Schäppi; David Rutz; Fabian Dähler; Alexander Muroyama; Philipp Haueter; Johan Lilliestam; Anthony Patt; Philipp Furler; Aldo Steinfeld
Journal:  Nature       Date:  2021-11-03       Impact factor: 49.962

2.  Research on comprehensive recovery of liner schedule and container flow with hard time windows constraints.

Authors:  Yibo Liu; Xu Zhao; Rui Huang
Journal:  Ocean Coast Manag       Date:  2022-04-28       Impact factor: 4.295

  2 in total

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