Electricity Demand Characteristics in the Energy Transition Pathway Under the Carbon Neutrality Goal for China

中国 碳中和 能量转换 电 环境经济学 过渡(遗传学) 能源需求 碳纤维 能量(信号处理) 中立 自然资源经济学 经济 可再生能源 工程类 计算机科学 化学 电气工程 物理 政治学 病理 算法 医学 基因 量子力学 生物化学 法学 替代医学 灵丹妙药 复合数
作者
Chenmin He,Kejun Jiang,Pianpian Xiang,Yujie Jiao,Mingzhu Li
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:17 (4): 1759-1759 被引量:2
标识
DOI:10.3390/su17041759
摘要

The energy transition towards achieving carbon neutrality is marked by the decarbonization of the power system and a high degree of electrification in end-use sectors. The decarbonization of the power system primarily relies on large-scale renewable energy, nuclear power, and fossil fuel-based power with carbon capture technologies. This structure of power supply introduces significant uncertainty in electricity supply. Due to the technological progress in end-use sectors and spatial reallocation of industries in China, the load curve and power supply curve is very different today. However, most studies’ analyses of future electricity systems are based on today’s load curve, which could be misleading when seeking to understand future electricity systems. Therefore, it is essential to thoroughly analyze changes in end-use load curves to better align electricity demand with supply. This paper analyzes the characteristics of electricity demand load under China’s future energy transition and economic transformation pathways using the Integrated Energy and Environment Policy Assessment model of China (IPAC). It examines the electricity and energy usage characteristics of various sectors in six typical regions, provides 24-h load curves for two representative days, and evaluates the effectiveness of demand-side response in selected provinces in 2050. The study reveals that, with the transition of the energy system and the industrial relocation during economic transformation, the load curves in China’s major regions by 2050 will differ notably from those of today, with distinct characteristics emerging across different regions. With the costs of solar photovoltaic (PV) and wind power declining in the future, the resulting electricity price will also differ significantly from today. Daytime electricity prices will be notably lower than those during the evening peak, as the decrease in solar PV and wind power output leads to a significant increase in electricity costs. This pricing structure is expected to drive a strong demand-side response. Demand-side response can significantly improve the alignment between load curves and power supply.
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
小斩完成签到,获得积分20
1秒前
我是老大的应助被liu采纳,获得30
2秒前
2秒前
3秒前
4秒前
Yahooo发布了新的文献求助10
4秒前
4秒前
amengptsd发布了新的文献求助20
4秒前
5秒前
5秒前
6秒前
sure发布了新的文献求助10
6秒前
lulu发布了新的文献求助30
6秒前
燕子完成签到 ,获得积分10
8秒前
8秒前
SciGPT的应助被537采纳,获得10
8秒前
8秒前
9秒前
蓝天的应助被苏铭采纳,获得10
9秒前
cdercder的应助被无心的乾采纳,获得10
9秒前
ccccc发布了新的文献求助10
9秒前
CCHAO发布了新的文献求助10
10秒前
ZT发布了新的文献求助10
10秒前
牧歌发布了新的文献求助10
10秒前
传奇3的应助被听月眠采纳,获得10
11秒前
香蕉觅云的应助被oylc采纳,获得10
11秒前
曾祥龙完成签到,获得积分10
11秒前
科研通AI6.4的应助被Mansis采纳,获得50
13秒前
lulu完成签到,获得积分10
13秒前
张小花发布了新的文献求助10
14秒前
hktk12345678发布了新的文献求助10
14秒前
14秒前
lsk发布了新的文献求助10
14秒前
15秒前
哈利哈瑞完成签到,获得积分10
15秒前
15秒前
16秒前
molihuakai的应助被安详的寒烟采纳,获得10
16秒前
三三完成签到,获得积分10
16秒前
17秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Dawn of Philology 520
Organizational Behavior 510
Production Logging: Theoretical and Interpretive Elements 400
A primer on partial least squares structural equation modeling (PLS-SEM) (4th ed.) 310
中国器官捐献和移植发展报告(2024) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 化学工程 内科学 物理 生物化学 复合材料 催化作用 细胞生物学 人工智能 心理学 无机化学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 7822039
求助须知:如何正确求助?哪些是违规求助? 9348887
关于积分的说明 20550137
捐赠科研通 7414745
什么是DOI,文献DOI怎么找? 3333174
关于科研通互助平台的介绍 2479110
邀请新用户注册赠送积分活动 2353586