Carbon Emission Peak Paths Under Different Scenarios Based on the LEAP Model—A Case Study of Suzhou, China

能源消耗 情景分析 环境科学 基线(sea) 温室气体 可持续发展 碳纤维 环境工程 环境经济学 计算机科学 工程类 生态学 数学 统计 算法 生物 电气工程 复合数 海洋学 经济 地质学
作者
Wenjie Sun,Yi Zhao,Zeng Li,Yitong Yin,Chenglong Cao
出处
期刊:Frontiers in Environmental Science [Frontiers Media]
卷期号:10 被引量:24
标识
DOI:10.3389/fenvs.2022.905471
摘要

Environmental pollution caused by energy consumption is a global problem. Optimization of the energy system will contribute to the sustainable development of city, especially of the industrial cities. Based on the Long-term Energy Alternative Planning System (LEAP) model, the LEAP-Suzhou model was established to explore the energy system optimization and emission reduction path of Suzhou to 2050. By accounting for current energy consumption and carbon emissions, the baseline scenario (BAU) was established. According to the different methods and intensities of energy transformation, an industrial structure optimization scenario (ISO), an energy structure optimization scenario (ESO), and an energy transformation optimization scenario (ETD) were created. Combined with the energy flow diagram, the energy structure and the direction of optimization were analyzed. The results showed that the baseline scenario will consume 259.954 million tons of standard coal by 2050, and the carbon emission will be 677.6 Mt. Compared with BAU, the ISO, ESO, and ETD scenarios will reduce energy consumption by 37.9%, 37.4%, and 74.8%, respectively, by 2050. ETD had the best carbon dioxide reduction, followed by ESO, and finally ISO. Among them, the carbon emission of ETD will reach its peak around 2030 and decrease to 73.8 Mt in 2050, resulting in the best emission reduction effect. This scenario is the best path for Suzhou to achieve the goal of “carbon peak and neutrality” and sustainable development. The LEAP-Suzhou model successfully explores the low carbon path of Suzhou, provides policy guidance for the optimization of energy transition and carbon neutrality of industrial cities, In the future, the energy structure should be further optimized in Suzhou, and advanced energy technologies should be introduced to improve energy efficiency, especially for the power generation sector, and the proportion of clean energy such as gas should be further expanded.
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
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
自由魇完成签到,获得积分10
1秒前
2秒前
大个应助hu采纳,获得10
2秒前
struggle完成签到 ,获得积分10
3秒前
3秒前
欢呼海露完成签到,获得积分10
3秒前
初景发布了新的文献求助100
4秒前
那时花开应助研友_LjDyNZ采纳,获得10
5秒前
mylo发布了新的文献求助10
7秒前
清脆冰岚发布了新的文献求助10
7秒前
Euphoria完成签到,获得积分10
8秒前
8秒前
彭于晏应助15采纳,获得10
8秒前
大红鞭炮炸鬼子完成签到 ,获得积分10
8秒前
坚强凤凰发布了新的文献求助10
8秒前
hu完成签到,获得积分20
12秒前
温柔安筠完成签到,获得积分20
12秒前
peppa完成签到,获得积分10
13秒前
14秒前
15秒前
15秒前
yyy发布了新的文献求助10
16秒前
icm发布了新的文献求助10
19秒前
peppa发布了新的文献求助10
19秒前
wuzhi发布了新的文献求助10
19秒前
羽墨完成签到,获得积分10
20秒前
15发布了新的文献求助10
20秒前
20秒前
jon158完成签到,获得积分10
21秒前
21秒前
Akim应助刘克采纳,获得10
21秒前
852应助氮源采纳,获得10
22秒前
石愚志发布了新的文献求助10
22秒前
伍子丐的猫完成签到,获得积分10
24秒前
从容的冥发布了新的文献求助10
24秒前
烟花应助icm采纳,获得10
25秒前
25秒前
清脆冰岚完成签到,获得积分10
25秒前
yyy完成签到,获得积分10
27秒前
28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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
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 7635791
求助须知:如何正确求助?哪些是违规求助? 9209730
关于积分的说明 19753342
捐赠科研通 7203634
什么是DOI,文献DOI怎么找? 3275259
关于科研通互助平台的介绍 2437151
邀请新用户注册赠送积分活动 2272380