Reducing the carbon intensity of international shipping – The impact of energy efficiency measures

能量强度 强度(物理) 环境科学 碳纤维 高效能源利用 能量(信号处理) 自然资源经济学 经济 工程类 统计 数学 物理 算法 量子力学 复合数 电气工程
作者
Weng Sut Sou,T.N. Goh,Xin Ni Lee,Szu Hui Ng,Kah‐Hin Chai
出处
期刊:Energy Policy [Elsevier]
卷期号:170: 113239-113239 被引量:19
标识
DOI:10.1016/j.enpol.2022.113239
摘要

The International Maritime Organisation (IMO) has set a target to reduce the carbon intensity of shipping, or CO 2 emissions per transport work, by at least 40% by 2030 from 2008 levels. While short-term measures which focus on improving energy efficiency have been implemented, their impact on carbon intensity trends of international shipping over time has not been quantified. This study quantifies and attributes the contribution of various driving factors to the overall change in carbon intensity of international shipping by ship type. The carbon intensity changes of each ship type are quantitatively linked to the overall carbon intensity target of the IMO. The study results highlight that reductions in carbon intensity at the ship-type and global level have been largely a result of decreases in energy intensity from 2012 to 2018 but reductions became smaller in the later period (2015–2018), underscoring the limits to energy efficiency measures. Furthermore, this study highlights the additional insights that can be drawn on the transport mode and freight activity profiles from the joint analysis of demand and supply-side indicators, revealing not only the changes in freight activity and capacity utilization, but also the shifts in capacity miles travelled for different shipping modes. • Driving factors of carbon intensity indicators of shipping are analysed quantitatively. • Improvements in energy intensity have led to reductions in the carbon intensity. • Contributions from energy efficiency have diminished in the more recent period. • A joint analysis of supply and demand side indicators offers new insights for decarbonization.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
刚刚
zyy6657完成签到,获得积分10
刚刚
CodeCraft应助科研通管家采纳,获得10
刚刚
yoyo完成签到,获得积分10
2秒前
3秒前
3秒前
842413119发布了新的文献求助10
7秒前
杨树完成签到 ,获得积分10
7秒前
Oneplusssss完成签到 ,获得积分10
13秒前
15秒前
842413119完成签到,获得积分10
16秒前
hahahahaha完成签到,获得积分10
20秒前
好好学习发布了新的文献求助10
21秒前
24秒前
CipherSage应助好好学习采纳,获得10
29秒前
30秒前
CC完成签到,获得积分10
32秒前
雾蒽发布了新的文献求助10
33秒前
皮蛋完成签到 ,获得积分10
34秒前
41秒前
卓越完成签到,获得积分10
45秒前
46秒前
刘特价应助aqiuyuehe采纳,获得10
51秒前
54秒前
午见千山应助失眠的幼丝采纳,获得10
55秒前
喜悦的秋烟完成签到,获得积分10
55秒前
Kane发布了新的文献求助10
59秒前
1分钟前
1分钟前
哈哈完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
Levi李发布了新的文献求助10
1分钟前
Kane完成签到,获得积分10
1分钟前
Aaron完成签到,获得积分10
1分钟前
JamesPei应助酷炫的红牛采纳,获得10
1分钟前
卓越发布了新的文献求助10
1分钟前
1分钟前
1分钟前
高分求助中
LNG地上式貯槽指針 (JGA指 ; 108) 1000
LNG地下式貯槽指針(JGA指-107)(LNG underground storage tank guidelines) 1000
Generalized Linear Mixed Models 第二版 1000
Preparation and Characterization of Five Amino-Modified Hyper-Crosslinked Polymers and Performance Evaluation for Aged Transformer Oil Reclamation 700
Operative Techniques in Pediatric Orthopaedic Surgery 510
九经直音韵母研究 500
Full waveform acoustic data processing 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2927056
求助须知:如何正确求助?哪些是违规求助? 2576072
关于积分的说明 6953484
捐赠科研通 2227175
什么是DOI,文献DOI怎么找? 1183684
版权声明 589277
科研通“疑难数据库(出版商)”最低求助积分说明 579287