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Author:

Chen, Xinqiang (Chen, Xinqiang.) | Lv, Siying (Lv, Siying.) | Shang, Wen-long (Shang, Wen-long.) | Wu, Huafeng (Wu, Huafeng.) | Xian, Jiangfeng (Xian, Jiangfeng.) | Song, Chengcheng (Song, Chengcheng.)

Indexed by:

EI Scopus SCIE

Abstract:

Global greenhouse gas emission attracts significant attentions across varied communities, and carbon emission (CE) reduction has become hot topic in the maritime field considering that appropriately 3% CE come from the field. The prerequisite for fulfilling the task is to accurately quantify the ship CE. To achieve the aim, the study utilizes indicators, such as carbon dioxide (CO2) emission, CO2 index, fuel consumption, energy efficiency operational indicator (EEOI), fleet energy efficiency management index (FEEMI), to analyze ship energy consumption. We employ ship voyage data from container, oil tanker, bulk carrier and liquefied natural gas (LNG) carrier to evaluate ship energy consumption. We have testified EEOI variation tendency under different ship cargo loading volume states (i.e., full/partial load) and speed deceleration scenario. Moreover, the FEEMI indicator is used to determine energy efficiency for different ship fleets (container ship fleet, oil tanker fleet, bulk carrier fleet, LNG fleet). Experimental results suggest that EEOI is proportional to ship energy consumption when the sailing distance and cargo volume are constant. The ship EEOI indicator calculated in full-loaded status is obviously smaller than the counterpart under partial-load status. The fleet energy consumption efficiency shows a slight increase (at least 1%) due to release of ship energy efficiency management plan. The research findings can help maritime policy-makers provide more reasonable regulations for the purpose of ship energy consumption enhancement. © 2024 Elsevier Ltd

Keyword:

Gas emissions Energy utilization Containers Fleet operations Greenhouse gases Energy efficiency Oil tankers Liquefied natural gas Carbon dioxide

Author Community:

  • [ 1 ] [Chen, Xinqiang]Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai; 201306, China
  • [ 2 ] [Lv, Siying]Merchant Marine College, Shanghai Maritime University, Shanghai; 201306, China
  • [ 3 ] [Shang, Wen-long]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 4 ] [Shang, Wen-long]Centre for Transport Studies, Imperial College London, London; SW7 2AZ, United Kingdom
  • [ 5 ] [Shang, Wen-long]School of Architecture and Cities, University of Westminster, London; NW1 5LS, United Kingdom
  • [ 6 ] [Wu, Huafeng]Merchant Marine College, Shanghai Maritime University, Shanghai; 201306, China
  • [ 7 ] [Xian, Jiangfeng]Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai; 201306, China
  • [ 8 ] [Song, Chengcheng]China Waterborne Transport Research Institute, Beijing; 100088, China

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Source :

Applied Energy

ISSN: 0306-2619

Year: 2024

Volume: 360

1 1 . 2 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 40

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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