粤港澳大湾区电力系统低碳转型

doi:10.16183/j.cnki.jsjtu.2021.436

上海交通大学学报 ›› 2022, Vol. 56 ›› Issue (3): 293-302.doi: 10.16183/j.cnki.jsjtu.2021.436

所属专题：《上海交通大学学报》“新型电力系统与综合能源”专题（2022年1~6月）

• 新型电力系统与综合能源 • 上一篇下一篇

粤港澳大湾区电力系统低碳转型

张鹏飞¹, 徐静怡², 郭巍³, 吴蔚⁴, 钟晨⁵, 魏文栋⁶()

1.山东大学威海蓝绿发展研究院,山东威海 2642209
2.上海理工大学管理学院,上海 200093
3.中国城市和小城镇改革发展中心,北京 100045
4.上海市气候中心, 上海 200030
5.上海交通大学中英国际低碳学院,上海 201306
6.上海交通大学国际与公共事务学院,上海 200030

收稿日期:2021-11-01 出版日期:2022-03-28 发布日期:2022-04-01
通讯作者: 魏文栋 E-mail:wendongwei@sjtu.edu.cn
作者简介:张鹏飞(1992-),男,河南省焦作市人,博士生,主要研究方向为能源环境经济学、资源环境管理.
基金资助:
国家重点研发计划(2019YFC1908501);国家自然科学基金(72088101);国家自然科学基金(71904125);国家自然科学基金(71690241);国家自然科学基金(71810107001)

Low-Carbon Transformation of the Power System in the Guangdong-Hong Kong-Macao Greater Bay Area

ZHANG Pengfei¹, XU Jingyi², GUO Wei³, WU Wei⁴, ZHONG Chen⁵, WEI Wendong⁶()

1. Institute of Blue and Green Development, Shandong University, Weihai 2642209, Shandong, China
2. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
3. China Center for Urban Development, Beijing 100045, China
4. Shanghai Climate Center, Shanghai 200030, China
5. China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China
6. School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, China

Received:2021-11-01 Online:2022-03-28 Published:2022-04-01
Contact: WEI Wendong E-mail:wendongwei@sjtu.edu.cn

摘要/Abstract

摘要：

我国“碳达峰、碳中和”目标的实现在很大程度上依赖于电力系统的低碳转型,而现有研究很少从区域尺度研究电力系统低碳转型.综合使用政府间气候变化专门委员会温室气体清单编制方法、网络模型分析法量化了粤港澳大湾区电力生产和消费引致的碳排放,并使用对数平均迪氏指数分析法分析了社会经济因素对大湾区电力碳排放的影响.结果表明:香港、澳门电力低碳转型进展缓慢,广东省低碳电力份额持续提高;快速扩大的经济规模和电力需求是大湾区排放增长的最主要驱动因素;外部低碳电力的输入以及部门用电效率的提升抵消了部分排放增长.

关键词: 粤港澳大湾区, 电力传输, 碳排放, 碳中和

Abstract:

China’s “carbon peaking and carbon neutrality” goal relies greatly on the low-carbon transition of the power system, but the existing research rarely explores the low-carbon transition of the regional power system. By using the intergovernmental panel on climate change (IPCC) greenhouse gas inventory compilation method and the network model analysis, the carbon emissions caused by the power generation and the power consumption in Guangdong-Hong Kong-Macao Greater Bay Area (the Greater Bay Area) was quantified. The logarithmic mean Divisia index (LMDI) method was used to quantify the influence of socio-economic factors on the electricity-related carbon emissions in the Greater Bay Area. The results show that Hong Kong and Macao have made slow progress in the low-carbon transition of the power system, and Guangdong’s share of the low-carbon power continues to increase. The rapidly expanding economic scale and the power demand were the most important drivers of the emissions growth in the Greater Bay Area. The low-carbon electricity imported from outside regions and the improved efficiency in the sectoral electricity consumption offset part of the emission growth.

Key words: Guangdong-Hong Kong-Macao Greater Bay Area (Greater Bay Area), power transmission, carbon emissions, carbon neutrality

中图分类号:

TM73
X323

张鹏飞, 徐静怡, 郭巍, 吴蔚, 钟晨, 魏文栋. 粤港澳大湾区电力系统低碳转型[J]. 上海交通大学学报, 2022, 56(3): 293-302.

ZHANG Pengfei, XU Jingyi, GUO Wei, WU Wei, ZHONG Chen, WEI Wendong. Low-Carbon Transformation of the Power System in the Guangdong-Hong Kong-Macao Greater Bay Area[J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 293-302.

图/表 4

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地区	2007年		2017年
地区	生产侧	供给侧	生产侧	供给侧
广东	0.653	0.662	0.554	0.451
香港	0.857	0.905	0.874	0.846
澳门	0.551	0.622	0.473	0.457

粤港澳大湾区电力系统低碳转型

Low-Carbon Transformation of the Power System in the Guangdong-Hong Kong-Macao Greater Bay Area

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