[Synergistic Emission Reduction of Carbon Dioxide and Atmospheric Pollutants Under Different Low-carbon Development Scenarios of the Power Industry in Jiangsu Province].

Q2 Environmental Science
Xiao-Wen Xing, Lin Huang, Jian-Lin Hu
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引用次数: 0

Abstract

The power industry is the main source of carbon dioxide (CO2) emissions in Jiangsu Province and also an important source of sulfur dioxide (SO2), nitrogen oxides (NOx), and particulate matter (PM). In order to address climate change and contribute to the goal of "carbon peaking and carbon neutrality," Jiangsu Province has implemented a series of low-carbon development policies in the power industry. These policies not only reduce carbon emissions but also have important synergistic emission reduction benefits for atmospheric pollutants. Based on the low-carbon development plan for electricity in Jiangsu Province, a baseline scenario (BAU) and four low-carbon development scenarios have been constructed: current policy scenario (CLE), IEA target scenario (IEA), accelerated coal-fired power phaseout scenario 1 (STE1), and scenario 2 (STE2). An econometric model was used to predict the future electricity demand in Jiangsu Province, and the greenhouse gas-air pollution interactions and synergies (GAINS) model was employed to quantitatively analyze the impact of low-carbon policies in the power sector on the emissions of CO2, SO2, NOx, and PM, which are the major air pollutants in the region. The results showed that the electricity demand in Jiangsu Province has been increasing year by year, with an annual growth rate of approximately 4.01%. Under the BAU scenario, carbon emissions were projected to peak around 2030, with a peak carbon emission level of 462.03 Mt. Under the IEA scenario, it should reach its peak around 2028, with a peak emission level of 380.27 Mt. Under the CLE scenario, the peak would be expected to occur around 2026 at 353.46 Mt. In both STE1 and STE2 scenarios, carbon emissions had reached their peak and were continuously declining after 2020. In all scenarios, the replacement of conventional coal-fired power plants with natural gas (GAS), nuclear power (NUC), solar photovoltaic (SPV), and wind power (WND) showed high synergistic benefits in pollution reduction and carbon reduction. The deployment of biomass energy (OS1) and non-renewable waste energy (OS2) will result in a significant increase in SO2 emissions. Carbon capture and storage (CCS) transformation of coal-fired power only showed significant synergistic benefits after 2035. The development of OS1 and OS2 fuel substitutes in power plants should focus more on reducing SO2 emissions, while upgrading and retrofitting CCS technology should prioritize the reduction of particulate matter emissions. The research findings provide a reference and decision-making basis for the synergistic efficiency of pollution reduction and carbon reduction in the power industry in Jiangsu Province.

[江苏省电力行业不同低碳发展情景下二氧化碳与大气污染物协同减排研究]。
电力工业是江苏省二氧化碳(CO2)排放的主要来源,也是二氧化硫(SO2)、氮氧化物(NOx)和颗粒物(PM)的重要来源。为应对气候变化,实现“碳调峰、碳中和”目标,江苏省在电力行业实施了一系列低碳发展政策。这些政策不仅减少了碳排放,而且对大气污染物具有重要的协同减排效益。基于江苏省电力低碳发展规划,构建了基线情景(BAU)和4个低碳发展情景:当前政策情景(CLE)、IEA目标情景(IEA)、加速淘汰煤电情景1 (STE1)和情景2 (STE2)。采用计量经济模型对江苏省未来电力需求进行预测,采用温室气体-大气污染相互作用与协同效应(GAINS)模型定量分析电力行业低碳政策对该地区主要大气污染物CO2、SO2、NOx和PM排放的影响。结果表明,江苏省电力需求呈逐年增长趋势,年增长率约为4.01%。在BAU情景下,预计碳排放将在2030年左右达到峰值,峰值碳排放水平为46203 Mt。在IEA情景下,预计碳排放将在2028年左右达到峰值,峰值碳排放水平为38027 Mt。在CLE情景下,预计峰值将在2026年左右出现,峰值为35346 Mt。在STE1和STE2情景下,碳排放均已达到峰值,并在2020年之后持续下降。在所有情景下,天然气(gas)、核电(NUC)、太阳能光伏(SPV)和风力发电(WND)取代传统燃煤电厂在减少污染和减少碳排放方面表现出较高的协同效益。生物质能(OS1)和不可再生废物能源(OS2)的部署将导致二氧化硫排放量显著增加。煤电碳捕集与封存(CCS)转型在2035年后才显现出显著的协同效益。电厂OS1和OS2燃料替代品的发展应更多地侧重于减少SO2的排放,而CCS技术的升级改造应优先考虑减少颗粒物的排放。研究结果为江苏省电力行业的污染减排和碳减排协同效率提供了参考和决策依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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