Cost-benefit analysis of emission reduction techniques: a case for container vessel

容器(类型理论) 还原(数学) 降低成本 可靠性工程 工程类 业务 机械工程 数学 几何学 营销
作者
Emir Ejder,Çağlar Karatuğ,Yasin Arslanoğlu
出处
期刊:Journal of marine engineering and technology [Taylor & Francis]
卷期号:23 (4): 259-269 被引量:1
标识
DOI:10.1080/20464177.2024.2317511
摘要

One of the most important issues in the maritime industry is controlling and reducing the amount of emissions caused by marine vessels. In this respect, the International Maritime Organization sets some air pollution-related regulations and encourages maritime companies to utilise current and innovative emission abatement methods on their ships. The application of these approaches to ships not only provides environmental benefits but also creates additional financial costs for the company. In this study, operational data of a container ship has been acquired and examined. Methods such as ammonia, LNG, scrubber, low sulphur fuel use, and selective catalytic reduction have been considered to determine the most appropriate emission reduction approach. Nine different scenarios have been created with the use of stated methods and each scenario is analysed both environmentally and economically and compared to each other. Finally, the most suitable scenario has been determined by calculating the payback period of each investment. Since there is a relatively longer period of redemption, using a dual-fuel engine could be more suitable for long-lasting and newly built ships. For the currently cruising ships, the use of scrubber systems with selective catalytic reduction is an effective solution to reduce the number of emissions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
dy2smile完成签到,获得积分20
1秒前
1秒前
落雁沙发布了新的文献求助10
1秒前
2秒前
iasins发布了新的文献求助10
3秒前
3秒前
朴素妙梦发布了新的文献求助10
3秒前
TheDarKnight完成签到,获得积分10
4秒前
Serein完成签到,获得积分10
5秒前
6秒前
7秒前
TaoJ完成签到,获得积分10
8秒前
咕咕咕发布了新的文献求助10
8秒前
科研通AI6.4应助舒适青槐采纳,获得10
9秒前
9秒前
烟花应助swiliu采纳,获得10
9秒前
9秒前
可爱的函函应助ZR采纳,获得10
9秒前
holyty完成签到,获得积分10
10秒前
TLY发布了新的文献求助10
10秒前
充电宝应助wwy采纳,获得10
12秒前
12秒前
CipherSage应助嘴遁老铁叽采纳,获得10
12秒前
13秒前
小蘑菇应助无辜紫菜采纳,获得10
13秒前
13秒前
endorphin发布了新的文献求助10
14秒前
落雁沙完成签到,获得积分10
15秒前
syd完成签到 ,获得积分10
15秒前
16秒前
故意的以亦应助不想说采纳,获得10
16秒前
17秒前
17秒前
cuipi发布了新的文献求助10
18秒前
19秒前
俊逸的平卉完成签到 ,获得积分10
20秒前
20秒前
HuiLang发布了新的文献求助10
20秒前
研友_ZzrWKZ完成签到 ,获得积分10
21秒前
田様应助贤惠的小夏采纳,获得10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
The Effective Clinical Neurologist 3ed 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7715016
求助须知:如何正确求助?哪些是违规求助? 9270233
关于积分的说明 20080898
捐赠科研通 7291308
什么是DOI,文献DOI怎么找? 3298316
关于科研通互助平台的介绍 2452559
邀请新用户注册赠送积分活动 2305802