Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Voyage-based statistical fuel consumption models of ocean-going container ships in Korea

Authors
Le, Luan ThanhLee, GunwooKim, HwayoungWoo, Su-Han
Issue Date
2-Apr-2020
Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Keywords
Voyage-based approach; ship fuel consumption model; ocean-going container ships; regression model; Liner shipping
Citation
MARITIME POLICY & MANAGEMENT, v.47, no.3, pp.304 - 331
Indexed
SSCI
SCOPUS
Journal Title
MARITIME POLICY & MANAGEMENT
Volume
47
Number
3
Start Page
304
End Page
331
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1175
DOI
10.1080/03088839.2019.1684591
ISSN
0308-8839
Abstract
Accurately estimating fuel consumption of ships is crucial for shipping companies, port authorities, and environmental protection agencies. The bottom-up approach is becoming increasingly popular because it can estimate ship fuel consumption by accounting for ship activity conditions, such as changes in voyage speed, time, and distance; however, its use is still limited when estimating ship fuel consumption. Ship-specific information, such as the daily fuel consumption rate for main and auxiliary engines for every vessel, is expensive to gather, and generally not collected from private shipping companies. To address this research gap, we develop simplified and composite ship fuel consumption models for ocean-going container ships by size using a regression model. To estimate the fuel consumption models for container ships, we rely on ship activity data, including average speed and sailing time, distance, and actual fuel consumption for main and auxiliary engines. This information is obtained from a major container shipping company in Korea. We estimate and validate the parameters associated with fuel consumption for five different container ship sizes, all of which are smaller than the Post-Panamax container ship (15,000 TEU and above).
Files in This Item
There are no files associated with this item.
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Gunwoo photo

Lee, Gunwoo
ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE