Decarbonization of Maritime Transportation: A Case Study for Turkish Ship Fleet

被引:3
|
作者
Kanberoglu, Berna [1 ]
Turan, Eda [2 ]
Kokkulunk, Gorkem [1 ]
机构
[1] Yildiz Tech Univ, Marine Engn Dept, TR-34349 Istanbul, Turkiye
[2] Yildiz Tech Univ, Naval Architecture & Marine Engn Dept, TR-34349 Istanbul, Turkiye
关键词
Energy efficiency existing ship index; Energy efficiency; Emissions; CO2; Engine power limitation; Decarbonization; EMISSIONS; SECTOR; IMPACT;
D O I
10.1007/s11804-023-00370-6
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Climate change and global warming are among the most severe threats to the global ecosystem, caused by greenhouse gas emissions. Therefore, all industries that cause environmental emissions should collaborate in the struggle against climate change. In this context, the International Maritime Organization (IMO) approved the initial greenhouse gas strategy at the MEPC 72 session in April 2018 to achieve targets for 2050. With this strategy, the IMO aims to create and improve new regulations that can enhance energy efficiency to achieve their short-term, mid-term, and long-term goals. In this study, one of the novel terms, energy efficiency existing ship index (EEXI) values, has been calculated for the Turkish fleet to guide the maritime sector. The Turkish fleet in the study refers to the Turkish-owned vessels both sailing with a national or international flag. In accordance with this regulation, the number of Turkish fleets that were identified as either above or below the IMO reference lines has been determined. Additionally, EEXI values have been recalculated using the engine power limitation (EPL) method for ships that exceed the required limits, and the success rate of this method has been estimated. As a result, the application of EPL increased the number of ships below the Phase 2 reference line from 15.6 % to 53.1 %. To the best of our knowledge, this research, which has been carried out on all Turkish-owned ships, is the first study intended to serve as a guide for other ship owners in the global maritime industry regarding energy efficiency management.
引用
收藏
页码:716 / 727
页数:12
相关论文
共 50 条
  • [21] Integrated maritime fleet deployment and speed optimization: Case study from RoRo shipping
    Andersson, Henrik
    Fagerholt, Kjetil
    Hobbesland, Kirsti
    COMPUTERS & OPERATIONS RESEARCH, 2015, 55 : 233 - 240
  • [22] On-Demand Automotive Fleet Electrification Can Catalyze Global Transportation Decarbonization and Smart Urban Mobility
    Bauer, Gordon
    Zheng, Cheng
    Greenblatt, Jeffery B.
    Shaheen, Susan
    Kammen, Daniel M.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2020, 54 (12) : 7027 - 7033
  • [23] APPLICATION OF INTERVAL TYPE-2 FUZZY SETS DEMATEL METHODS IN MARITIME TRANSPORTATION: THE CASE OF SHIP COLLISION
    Celik E.
    Akyuz E.
    Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, 2016, 158 (A4): : A359 - A371
  • [24] APPLICATION OF INTERVAL TYPE-2 FUZZY SETS DEMATEL METHODS IN MARITIME TRANSPORTATION: THE CASE OF SHIP COLLISION
    Celik, E.
    Akyuz, Emre
    INTERNATIONAL JOURNAL OF MARITIME ENGINEERING, 2016, 158 : A359 - A371
  • [25] 2 TRENDS OF THOUGHT IN TURKISH MARITIME CULTURE - THE ETHICAL SHIP AND THE MAGICAL GALLEY
    PRINS, AHJ
    MARINERS MIRROR, 1984, 70 (01): : 45 - 58
  • [26] Course set for a cap? A case study among ship operators on a maritime ETS
    Koesler, Simon
    Achtnicht, Martin
    Koehler, Jonathan
    TRANSPORT POLICY, 2015, 37 : 20 - 30
  • [27] Exploring the vulnerability of transportation networks by entropy: A case study of Asia-Europe maritime transportation network
    Wen, Tao
    Gao, Qiuya
    Chen, Yu-wang
    Cheong, Kang Hao
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 226
  • [28] Data-driven ship berthing forecasting for cold ironing in maritime transportation
    Abu Bakar, Nur Najihah
    Bazmohammadi, Najmeh
    Cimen, Halil
    Uyanik, Tayfun
    Vasquez, Juan C.
    Guerrero, Josep M.
    APPLIED ENERGY, 2022, 326
  • [29] Stochastic optimization model for ship inspection planning under uncertainty in maritime transportation
    Yan, Ran
    Yang, Ying
    Du, Yuquan
    ELECTRONIC RESEARCH ARCHIVE, 2022, 31 (01): : 103 - 122
  • [30] Connect and Protect: Requirements for Maritime Autonomous Surface Ship in Urban Passenger Transportation
    Amro, Ahmed
    Gkioulos, Vasileios
    Katsikas, Sokratis
    COMPUTER SECURITY, ESORICS 2019, 2020, 11980 : 69 - 85