Evaluating emission reduction potential at the “30-60 Dual Carbon targets” over China from a view of wind power under climate change

对偶(语法数字) 环境科学 中国 还原(数学) 风力发电 气候变化 碳纤维 功率(物理) 地理 计算机科学 数学 物理 地质学 工程类 艺术 文学类 几何学 电气工程 海洋学 考古 复合数 量子力学 算法
作者
Zhuo Chen,Junhong Guo,Wei Li,Jia Hongtao,Xi Liang,Xiuquan Wang,Zhe Bao
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:900: 165782-165782 被引量:14
标识
DOI:10.1016/j.scitotenv.2023.165782
摘要

Large-scale wind energy development is one of the main paths to achieving China's carbon peak and neutrality goals. How will the wind power and corresponding carbon abatement potential (CAP) in China change when China reaches the timing of its reduction carbon targets? This issue has not been well addressed. In this paper, a weighted multi-model ensemble with 14 global climate models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) is used to evaluate the spatio-temporal characteristics of wind speed over China during the baseline period (2004–2014). Then, we further analyze the changes in wind power and corresponding CAP due to the climate change over China in the two-level years (2030 and 2060) under the SSP2-4.5 and SSP5-8.5 scenarios. The results show that the wind capacity factor over China will have a trend of decreasing in most regions of China and increasing in the southeast in 2060. Overall, climate change will have a slight impact on the CAP of wind power in 2030, with an increase in some southern provinces. However, the CAP of wind power will decrease significantly in most regions of China in 2060 under the SSP2-4.5 scenario, especially in Shanxi, Inner Mongolia, Ningxia, and Liaoning, by more than 5 %. Under the SSP5-8.5 scenario, the CAP will decrease significantly in the southwest and northwest regions, such as Sichuan and Qinghai, by 9.86 % and 8.19 % respectively. Central and South provinces such as Hunan and Hubei will increase by about 5 %. In terms of seasonal changes, the CAP of wind power will decrease significantly in summer under the SSP2-4.5 scenario (about −5.24 %) and SSP5-8.5 scenario (about −6.50 %).These findings can help policymakers make decisions as they establish plans for wind power expansion while taking the effects of climate change into account as they work toward China's carbon neutrality goal.
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
刚刚
玛斯特尔完成签到,获得积分10
1秒前
斯文败类应助缓慢思枫采纳,获得30
2秒前
Orange应助xinlei2023采纳,获得10
2秒前
Vc发布了新的文献求助10
4秒前
大方听白完成签到 ,获得积分10
4秒前
小李发布了新的文献求助10
4秒前
橙啊程完成签到 ,获得积分10
5秒前
CodeCraft应助阳光采纳,获得10
5秒前
7秒前
7秒前
大模型应助钟钟采纳,获得10
8秒前
水蜜桃一样甜完成签到,获得积分10
8秒前
8秒前
9秒前
要减肥的之云完成签到 ,获得积分10
9秒前
上官若男应助科研通管家采纳,获得20
9秒前
SciGPT应助科研通管家采纳,获得10
9秒前
我是老大应助科研通管家采纳,获得10
9秒前
gyh应助科研通管家采纳,获得10
9秒前
9秒前
MINGMING发布了新的文献求助10
9秒前
9秒前
我是老大应助科研通管家采纳,获得10
10秒前
10秒前
英俊的铭应助科研通管家采纳,获得10
10秒前
今后应助科研通管家采纳,获得10
10秒前
顾矜应助科研通管家采纳,获得10
10秒前
DYCCZ发布了新的文献求助10
10秒前
斯文败类应助科研通管家采纳,获得10
10秒前
10秒前
如意二娘完成签到 ,获得积分10
10秒前
10秒前
gyh应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
zzk完成签到,获得积分10
11秒前
夏xia完成签到,获得积分0
11秒前
jiqihao完成签到,获得积分20
11秒前
12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
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6053059
求助须知:如何正确求助?哪些是违规求助? 7869796
关于积分的说明 16277100
捐赠科研通 5198495
什么是DOI,文献DOI怎么找? 2781434
邀请新用户注册赠送积分活动 1764404
关于科研通互助平台的介绍 1646067