Refined assessment of size-fractioned particulate matter (PM2.5/PM10/PMtotal) emissions from coal-fired power plants in China
Refined assessment of size-fractioned particulate matter (PM2.5/PM10/PMtotal) emissions from coal-fired power plants in China
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中国燃煤电厂粒度分级颗粒物（PM2.5/PM10/PMtotal）排放的精细化评估
DOI：
10.1016/j.scitotenv.2019.135735
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发表时间：
2020
影响因子：
9.8
通讯作者：
Guo Zhihui
中科院分区：
文献类型：
--
作者：
Wu Bobo;Tian Hezhong;Hao Yan;Liu Shuhan;Sun Yujiao;Bai Xiaoxuan;Liu Wei;Lin Shumin;Zhu Chuanyong;Hao Jiming;Luo Lining;Zhao Shuang;Guo Zhihui
中国燃煤电厂正在经历大规模、快速的超低排放改造，导致燃煤电厂颗粒物（PM）排放水平发生显著变化。本研究基于全流程煤灰质量平衡，构建了循环流化床燃煤电厂三种粒径分馏颗粒物（PM2.5、PM10和PMtotal）排放因子综合数据库，涵盖了循环流化床燃煤电厂安装的几乎所有典型ULE技术路线。为了验证本研究建立的PM电磁场的可靠性，我们将其与现场试验的相关结果进行了比较。总的来说，两种方法得到的PM2.5、PM10和pmtotalf的差距在合理范围内并不过分。结合精细粒度分级PM EFs和基于单位的活动水平数据库，建立了2017年中国燃煤电厂PM2.5、PM10和pmtotal的详细高分辨率排放清查表，其总排放量分别为143、207和267 kt。我们估计的pmtotal排放量与中国电力企业联合会（CEC）公布的官方统计数据相当，这进一步证明了本研究构建的pmefs的可靠性。此外，在主要ULE技术路线的三种应用场景下，评估了2017年前和之后两个阶段CFPPs的PM减排潜力。我们预测，到2020年，如果所有CFPPs都达到ULE要求，PM2.5、PM10和pmtotal的最终年排放量将进一步减少，分别在86-111 kt、120-157 kt和142-184 kt之间。我们认为该综合数据库具有较好的通用性，预测结果将有助于ULE技术的政策指导、排放清单的编制以及区域空气质量的模拟与管理。
Chinese coal-fired power plants (CFPPs) are experiencing large-scale and rapid retrofitting of ultralow emission (ULE), causing significant changes in emission level of particulate matter (PM) from CFPPs. In this study, based on coal ash mass balance over the whole process, an integrated emission factors (EFs) database of three size-fractioned particulate matters (PM2.5, PM10, and PMtotal) for CFPPs is constructed, which covers almost all typical ULE technical routes installed in CFPPs. To verify the reliability of PM EFs established in this study, we compare those with related results based on field tests. Overall, the gaps in the EFs of PM2.5, PM10, and PMtotalobtained by the two methods are not outrageous within a reasonable range. By combined with the refined size-fractioned PM EFs and unit-based activity level database, a detailed high-resolution emission inventory of PM2.5, PM10, and PMtotalfrom Chinese CFPPs in 2017 is established, with the corresponding total emissions of 143, 207, and 267 kt, respectively. Our estimation of PMtotalemission is comparable to the official statistics announced by China Electricity Council (CEC), which further demonstrates the reliability of PM EFs constructed in this study. Moreover, potential reductions of PM from CFPPs at two stages before and after 2017 are assessed under three application scenarios of major ULE technical routes. We forecast the final annual emissions of PM2.5, PM10, and PMtotaluntil 2020 will be reduced further, which fall within the range of 86–111 kt, 120–157 kt, and 142–184 kt, respectively, if all CFPPs achieve ULE requirements under the three scenarios. We believe our integrated database of PM EFs of CFPPs has good universality, and the forecast results will be helpful for policy guidance of ULE technologies, emissions inventory compilation, and regional air quality simulation and management.