[Synergistic Paths of Reduced Pollution and Carbon Emissions Based on Different Power Demands in China].

碳中和 环境科学 环境工程 电力工业 自然资源经济学 空气污染 温室气体 环境经济学 工程类 化学 经济 生态学 有机化学 电气工程 生物
作者
Mengyu Xiang,Shen Wang,Lian-Hong Lü,Nan Zhang,Zihan Bai
出处
期刊:PubMed 卷期号:44 (7): 3637-3648
标识
DOI:10.13227/j.hjkx.202207256
摘要

Nowadays, China is faced with two strategic tasks:improving ecological environmental quality and realizing carbon neutrality and carbon peaking. Synergy to reduce pollution and carbon emissions has become an inevitable choice for the comprehensive green transition of economic and social development in China. The electric power sector will play an important role in the transition process. Based on different power demand scenarios, a multi-objective model was constructed to achieve carbon peaking and carbon neutrality at a low cost, and the optimal path scheme of carbon emission reduction synergy was obtained. The results showed that under the premise of achieving carbon peaking and carbon neutrality as scheduled, pollution reduction and carbon reduction had good synergies, and their synergistic control could effectively facilitate the realization of the low-carbon transition. Optimizing the power generation structure of the electric power sector was the key measure to achieving the synergistic effect of pollution reduction and carbon reduction. During the study period, the proportion of thermal power decreased continuously, and the proportion of clean power exceeded 92.5%. The emissions of carbon dioxide and major air pollutants were significantly different under different power demands. Carbon dioxide emissions were most affected by power demand. The peak carbon dioxide emissions under low power demand, medium power demand, and high power demand were 9.416 billion, 10.409 billion, and 10.746 billion t, respectively. The emissions of sulfur dioxide, nitrogen oxide, and particulate matter also showed an increasing trend in the low power demand, medium power demand, and high power demand scenarios. The increase in power demand only increased the pressure of power generation structure adjustment within the electric power sector, without affecting the output and activity level of other sectors, that is, the pressure of emission reduction in the electric power sector caused by power demand did not show the trend of transmission between sectors.

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
1秒前
1秒前
CodeCraft应助宋23采纳,获得10
5秒前
lebangzhanshi发布了新的文献求助10
5秒前
z佳完成签到 ,获得积分10
7秒前
Mere Chen发布了新的文献求助30
8秒前
山野的雾完成签到 ,获得积分10
10秒前
王王完成签到 ,获得积分10
12秒前
小芒果完成签到,获得积分0
12秒前
情怀应助杨舒采纳,获得10
12秒前
lullaby完成签到,获得积分10
13秒前
清风明月完成签到 ,获得积分10
13秒前
FashionBoy应助李建行采纳,获得10
13秒前
14秒前
川川完成签到 ,获得积分10
17秒前
野性的蓝天应助lebangzhanshi采纳,获得10
17秒前
宋23发布了新的文献求助10
18秒前
Twilight完成签到,获得积分10
19秒前
张家恒完成签到 ,获得积分10
20秒前
执着幻桃完成签到,获得积分10
23秒前
haprier完成签到 ,获得积分10
24秒前
24秒前
曙光完成签到,获得积分10
25秒前
lebangzhanshi完成签到,获得积分10
28秒前
杨舒发布了新的文献求助10
30秒前
Mushiyu完成签到 ,获得积分10
32秒前
Auriga完成签到,获得积分10
32秒前
SciGPT应助Andy采纳,获得10
37秒前
勤奋的白桃完成签到 ,获得积分10
38秒前
39秒前
韩鲁光完成签到,获得积分10
39秒前
嗷嗷嗷啊完成签到,获得积分10
40秒前
xiaoguang li完成签到,获得积分10
40秒前
蓝桉完成签到 ,获得积分10
41秒前
simons完成签到 ,获得积分10
41秒前
张世纪完成签到,获得积分10
42秒前
薇子完成签到,获得积分10
42秒前
YPST完成签到,获得积分10
44秒前
weiweiwu12完成签到,获得积分10
48秒前
钱塘郎中完成签到,获得积分0
49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
Applied Min-Max Approach to Missile Guidance and Control 5000
Metallurgy at high pressures and high temperatures 2000
Inorganic Chemistry Eighth Edition 1200
Anionic polymerization of acenaphthylene: identification of impurity species formed as by-products 1000
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6325983
求助须知:如何正确求助?哪些是违规求助? 8142059
关于积分的说明 17071818
捐赠科研通 5378544
什么是DOI,文献DOI怎么找? 2854190
邀请新用户注册赠送积分活动 1831847
关于科研通互助平台的介绍 1683076