Carbon emissions statistical analysis for container shipping in the Black Sea

P. Georgiev, Y. Garbatov
{"title":"Carbon emissions statistical analysis for container shipping in the Black Sea","authors":"P. Georgiev, Y. Garbatov","doi":"10.1177/14750902241228628","DOIUrl":null,"url":null,"abstract":"This work analyses the operational characteristics, including the fuel consumption and carbon emissions of self-reported data of container vessels performing regular short sea voyages in the Black Sea. The data are extracted from the EMSA THETIS-MRV database covering the period of 2018–2021. The main particulars of container ships that visited six Black Sea ports were collected from the Marine Traffic platform and Equasis database. Several conclusions about the status of carbon emissions from container shipping in the Black Sea are presented, which may support the short shipping companies in developing measures to incentivise decarbonisation in the region. It has been identified that the correlation between ship deadweight and total fuel consumption and CO2 emissions is weaker than the correlation between distance travelled and transport work. The decrease in CO2 emissions in 2021 can be attributed to reduced ship activity and emission-reduction measures. The ratios of CO2-related indicators to ship deadweight are more diminutive, showing a lack of correlation. An approach based on the confidence ellipses is employed in performing an innovative analysis of the CO2 emissions over the years for container ships operating in the Black Sea. This is important due to the new requests for using EEXI and CII.","PeriodicalId":20667,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1177/14750902241228628","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MARINE","Score":null,"Total":0}
引用次数: 0

Abstract

This work analyses the operational characteristics, including the fuel consumption and carbon emissions of self-reported data of container vessels performing regular short sea voyages in the Black Sea. The data are extracted from the EMSA THETIS-MRV database covering the period of 2018–2021. The main particulars of container ships that visited six Black Sea ports were collected from the Marine Traffic platform and Equasis database. Several conclusions about the status of carbon emissions from container shipping in the Black Sea are presented, which may support the short shipping companies in developing measures to incentivise decarbonisation in the region. It has been identified that the correlation between ship deadweight and total fuel consumption and CO2 emissions is weaker than the correlation between distance travelled and transport work. The decrease in CO2 emissions in 2021 can be attributed to reduced ship activity and emission-reduction measures. The ratios of CO2-related indicators to ship deadweight are more diminutive, showing a lack of correlation. An approach based on the confidence ellipses is employed in performing an innovative analysis of the CO2 emissions over the years for container ships operating in the Black Sea. This is important due to the new requests for using EEXI and CII.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
黑海集装箱航运碳排放统计分析
这项研究分析了在黑海进行定期短途航行的集装箱船的运营特征,包括自报数据中的燃料消耗和碳排放。数据摘自 EMSA THETIS-MRV 数据库,时间跨度为 2018-2021 年。从海上交通平台和 Equasis 数据库中收集了访问黑海六个港口的集装箱船的主要详情。报告提出了有关黑海集装箱航运碳排放状况的若干结论,这些结论可能有助于短期航运公司制定激励该地区去碳化的措施。研究发现,船舶载重量和燃料消耗总量与二氧化碳排放量之间的相关性弱于航行距离与运输工作量之间的相关性。2021 年二氧化碳排放量的减少可归因于船舶活动的减少和减排措施。二氧化碳相关指标与船舶载重量的比率更小,显示出缺乏相关性。在对在黑海运营的集装箱船多年来的二氧化碳排放量进行创新分析时,采用了基于置信椭圆的方法。由于对使用 EEXI 和 CII 提出了新要求,这一点非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.90
自引率
11.10%
发文量
77
审稿时长
>12 weeks
期刊介绍: The Journal of Engineering for the Maritime Environment is concerned with the design, production and operation of engineering artefacts for the maritime environment. The journal straddles the traditional boundaries of naval architecture, marine engineering, offshore/ocean engineering, coastal engineering and port engineering.
期刊最新文献
Integrated design method for protection against vibration of offshore platform plate structure A grouping module assessment method for ocean engineering systems: Subsea tree system as a case Effect of pre-swirl stator angles on broadband noise considering hydrodynamic performance of pump-jet propeller Effect of preload scatter on fatigue life of subsea pipeline connector bolts located at suspended span section A benchmark study on the energy efficiency and environmental impacts of alternative fuels in gulet-type sailing yachts
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1