Coal power plants transition based on joint planning of power and central heating sectors: A case study of China

热电联产 发电 发电站 火力发电站 功率(物理) 环境科学 自然资源经济学 废物管理 工程类 经济 电气工程 量子力学 物理
作者
Bing Du,Pei Liu,Zheng Li
出处
期刊:Energy [Elsevier BV]
卷期号:283: 129108-129108 被引量:5
标识
DOI:10.1016/j.energy.2023.129108
摘要

Coal power plants are crucial in both the power sector and central heating sector and also emit large amount of carbon dioxide. Existing research on coal power plants transformation mainly focused on their role in the power sector, with insufficient attention paid to their heat and power cogeneration capabilities. To address this gap, this paper proposes a long-term expansion joint optimization model for power sector and central heating sector incorporating the competitive technologies in both sectors, which is used to obtain the optimal low-carbon transition pathway of power sector and central heating sector, and analyse the pathway of coal power plants. China is selected for a case study for its largest scale of existing coal power plants in the world and urgent need of decarbonization. Compared to the scenario only considering electricity generation function from coal power plants to power sector, another scenario also considering the heating production to central heating sectors brings less than 5% increase in their remaining capacity, whilst results in significant changes in their regional distribution. Proportion of heat and power cogeneration of coal power plants in the heat generation structure is expected to increase first to 80% in 2030 and decrease to 58% in 2055.

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
刚刚
刚刚
ruanruan完成签到,获得积分10
1秒前
1秒前
2秒前
NexusExplorer应助Desirable采纳,获得10
2秒前
2秒前
2秒前
初一完成签到 ,获得积分10
3秒前
漂亮竺发布了新的文献求助10
4秒前
研友_Zb1rln完成签到,获得积分10
4秒前
上官若男应助自信问枫采纳,获得50
4秒前
萧瑟完成签到,获得积分10
5秒前
ruanruan发布了新的文献求助10
5秒前
sh发布了新的文献求助10
7秒前
7秒前
8秒前
nenshen发布了新的文献求助10
9秒前
搜集达人应助骑猪看日落采纳,获得10
9秒前
科研通AI6.4应助杨文志采纳,获得10
9秒前
ANDW发布了新的文献求助10
9秒前
10秒前
科研通AI6.3应助123采纳,获得10
10秒前
青衫完成签到,获得积分10
12秒前
lizishu应助shan采纳,获得50
12秒前
满意哈密瓜,数据线完成签到 ,获得积分10
12秒前
MA发布了新的文献求助10
15秒前
15秒前
16秒前
16秒前
17秒前
CodeCraft应助洋芋采纳,获得10
17秒前
SciGPT应助洋芋采纳,获得10
17秒前
NexusExplorer应助洋芋采纳,获得10
17秒前
小二郎应助洋芋采纳,获得10
17秒前
852应助洋芋采纳,获得10
18秒前
万能图书馆应助洋芋采纳,获得10
18秒前
18秒前
Orange应助洋芋采纳,获得10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7242732
求助须知:如何正确求助?哪些是违规求助? 8867229
关于积分的说明 18705070
捐赠科研通 6916501
什么是DOI,文献DOI怎么找? 3196366
关于科研通互助平台的介绍 2369729
邀请新用户注册赠送积分活动 2170988