1
|
Li S, Liu D, Jiang X, Tian P, Sheng J, Wu Y, Hu K, Bi K, Li R, Zhao D, Huang M, Kong S, Zheng C. Dynamic evolution of particulate and gaseous emissions for typical residential coal combustion. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175851. [PMID: 39214355 DOI: 10.1016/j.scitotenv.2024.175851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 08/25/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
Residential coal combustion still accounts for half of the heating energy consumption in many developing countries. The dynamic variation during the combustion process importantly determines the combustion facility design and appropriate air quality assessment, which was omitted in conventional studies. This study investigated the emissions of particulate and gaseous pollutants during the combustion process for typical coal types using online monitoring. During the first pyrolysis stage with temperature climbing, the organic aerosols (OA) and gases reached peak concentration. The second fierce combustion stage had the highest temperature and produced the highest cumulative emissions, particularly a substantial amount of black carbon for coals with higher volatile content. Using higher-quality coals will undoubtedly reduce PM emissions, by a factor of 10 from bituminous to anthracite coal. However, more ultrafine particles (d < 0.1 μm) from cleaner coal may pose additional health risks. Anthracite and honeycomb coal had approximately twice the energy content and emitted more CO2 per unit mass of fuel and had more persistent SO2 emissions throughout the burnout stage. The oxygenation of OA and organic gases remained increased during combustion, suggesting the pyrolysis products underwent oxidation before being emitted. The investigation of the coal combustion process suggests the importance of reducing volatiles to control PM emissions, but the potential negative synergistic effects between PM reduction and increased carbon emissions should also be considered.
Collapse
Affiliation(s)
- Siyuan Li
- Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
| | - Dantong Liu
- Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Xiaotong Jiang
- College of Biological and Environmental Engineering, Shandong University of Aeronautics, Binzhou 256600, China
| | - Ping Tian
- Beijing Weather Modification Center, Beijing 100089, China
| | - JiuJiang Sheng
- Beijing Weather Modification Center, Beijing 100089, China
| | - Yangzhou Wu
- Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, College of Environment Science and Engineering, Guilin University of Technology, Guilin 541004, China
| | - Kang Hu
- Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Kai Bi
- Beijing Weather Modification Center, Beijing 100089, China
| | - Ruijie Li
- Beijing Weather Modification Center, Beijing 100089, China
| | - Delong Zhao
- Beijing Weather Modification Center, Beijing 100089, China
| | - Mengyu Huang
- Beijing Weather Modification Center, Beijing 100089, China
| | - Shaofei Kong
- Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Chenghang Zheng
- StateKey Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, China
| |
Collapse
|
2
|
Zhang J, Sun X, Wu Q, Deng J, Li Z, Wen M, Xu L, Gu Y, Han T, Feng L, Duan L. Emission characteristics of lead and particulate matter from lead and zinc smelters in China. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:135224. [PMID: 39029187 DOI: 10.1016/j.jhazmat.2024.135224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 07/03/2024] [Accepted: 07/14/2024] [Indexed: 07/21/2024]
Abstract
Understanding the emission characteristics of particulate matter and associated heavy metals is essential for assessing their environmental and health impacts post-emission, as well as for identifying potential control technologies for the sources. Here, a field test was conducted at two advanced smelting plants equipped with comprehensive air pollution control devices. The particles emitted from different stages of lead and zinc smelting exhibited bi-modal size distributions, with peaks observed in PM0.1-1.0 and PM2.5-10, respectively. Particulate-bound Pb was identified as the predominant Pb species in the flue gas, primarily originating from ore crushing. Consequently, over 80 % of Pb was emitted in the form of coarse particles, a marked contrast to coal-fired power plants where Pb concentrated on fine particles. High efficiencies in Pb removal were achieved by dust collectors, flue gas purification systems, and acid plants with desulfurization systems, resulting in overall Pb emission factors in lead and zinc smelting were only 89.3 and 2.60 g t-1 (of metal production), respectively. Importantly, the contribution of gas-phase Pb, which accounts for approximately 16.6 % of total emissions, must not be neglected in future emission monitoring and control efforts.
Collapse
Affiliation(s)
- Jiawei Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China; Department of Aeronautics, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
| | - Xiaohui Sun
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Qingru Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Jianguo Deng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Zhijian Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Minneng Wen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Liwen Xu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Yongzheng Gu
- Guodian Power Development Co., Ltd., Beijing 100101, China
| | - Tao Han
- CHN Energy New Energy Technology Research Institute Co., Ltd., Beijing 102209, China
| | - Lei Feng
- CHN Energy New Energy Technology Research Institute Co., Ltd., Beijing 102209, China
| | - Lei Duan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| |
Collapse
|
3
|
Tang Q, Zhao X, Chen L, Yao H, Miao C, Ji Q, Ma D, Zhang S. Removal and emission characteristics of hazardous trace elements in total and graded particulate matters: A case study of a typical ultra-low emission coal-fired power plant. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168434. [PMID: 37944605 DOI: 10.1016/j.scitotenv.2023.168434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/25/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023]
Abstract
Particulate matters (PMs) and hazardous trace elements (HTEs) emitted from coal-fired power plants (CFPPs) have raised serious environmental and human issues. Herein, total PMs and graded PMs including PM<1, PM1-2.5 and PM2.5-10 at the inlet/outlet of air pollution control devices (APCDs) were collected from a representative ultra-low emission (ULE) CFPP in China. The removal efficiencies of total PMs by selective catalytic reduction (SCR), electrostatic precipitator (ESP), wet flue gas desulfurization (WFGD) and wet electrostatic precipitator (WESP) were 0.40 %, 99.9 %, 38.1 % and 85.3 %, respectively. PM2.5-10 was robustly removed by WFGD, while PM<1 and PM1-2.5 were readily removed by WESP. The removal efficiencies of As, Cd, Cr and Pb in total PMs by APCDs followed an order: ESP > WESP > WFGD > SCR. SCR significantly decreased Se concentration by 42.8 %, contrasting to the removal of As, Cd, Cr and Pb (10.8-20.8 %). As, Cd, Cr, Pb and Se concentrations in graded PMs at the outlets of ESP, WFGD and WESP decreased with particle size increasing. All As, Cd, Cr, and Pb contents in PM<1, PM1-2.5 and PM2.5-10 at WFGD outlet increased, surpassing their analogues at ESP and WESP outlets. However, the concentration of Se declined in PM<1 at WFGD outlet. The atmospheric emission factors (EFs) of As, Cd, Cr, Pb and Se in the studied ULE CFPP were respectively 7.32, 1.27, 6.05, 122.5 and 6.42 mg/t, in line with Monte Carlo simulations. This study would not only provide a basis for emission control of PMs and HTEs in CFPPs, but also promote the improvement of respective environmental policy.
Collapse
Affiliation(s)
- Quan Tang
- School of Life Sciences, Anhui University, Hefei 230601, China.
| | - Xiaohu Zhao
- School of Life Sciences, Anhui University, Hefei 230601, China
| | - Lai Chen
- School of Business, Anhui University, Hefei 230601, China
| | - Haihan Yao
- School of Life Sciences, Anhui University, Hefei 230601, China
| | - Chunhui Miao
- Anhui Xinli Power Technology Consulting Company with Limited Liability, State Grid Anhui Electric Power Corporation Research Institute, Hefei 230601, China
| | - Qiaozhen Ji
- Anhui Xinli Power Technology Consulting Company with Limited Liability, State Grid Anhui Electric Power Corporation Research Institute, Hefei 230601, China
| | - Dawei Ma
- Anhui Xinli Power Technology Consulting Company with Limited Liability, State Grid Anhui Electric Power Corporation Research Institute, Hefei 230601, China
| | - Shangwei Zhang
- Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhuhai 519087, China
| |
Collapse
|
4
|
Chen Y, Xu Y, Zhou K. Cross-administrative and downscaling environmental spatial management and control system: A zoning experiment in the Yangtze River Delta, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 323:116257. [PMID: 36137454 DOI: 10.1016/j.jenvman.2022.116257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/30/2022] [Accepted: 09/10/2022] [Indexed: 06/16/2023]
Abstract
Promoting the downscaling and integration of zonal management and control of various environmental pollution sources is an effective way to systematically deal with the current high-intensity and complex environmental problems. Through single-factor and comprehensive pollutant emission intensity evaluation and cluster analysis, we built a full-coverage and cross-scale environmental spatial management and control system for pollution sources, then proposed environmental zoning patterns and pollution control strategies at three scales in the Yangtze River Delta (YRD), China. At the grid scale, the reclassified 7 types of pollution source spaces can be divided into 5 levels based on pollution emission intensity, and the most urgent environmental control subjects can be determined accordingly. Up to the county scale, combined with emission intensity and regional functions, 305 counties can be divided into 5 control intensity zones, which directly correspond to different environmental control intensity, requirements and policies. Finally, at the city scale, 41 cities can be clustered into 7 pollution control zones, which are classified and named as the three-level form of geographic location, development orientation and pollution source characteristics. Fully using the zoning units at different scales of cities, counties and grids can break the limitation of inherent administrative boundaries and allow environmental integration policies to be implemented across departments and regions, also let differentiated policies be more accurately implemented to different administrative levels and pollution source, and then truly improve the efficiency of environmental management.
Collapse
Affiliation(s)
- Yufan Chen
- Key Laboratory of Regional Sustainable Development Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Yong Xu
- Key Laboratory of Regional Sustainable Development Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Kan Zhou
- Key Laboratory of Regional Sustainable Development Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China.
| |
Collapse
|
5
|
Huang H, Zhang J, Hu H, Kong S, Qi S, Liu X. On-road emissions of fine particles and associated chemical components from motor vehicles in Wuhan, China. ENVIRONMENTAL RESEARCH 2022; 210:112900. [PMID: 35167853 DOI: 10.1016/j.envres.2022.112900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 01/01/2022] [Accepted: 02/03/2022] [Indexed: 06/14/2023]
Abstract
Vehicle emission is an important contributor to urban air pollution with the increasing number of motor vehicles. Ten typical vehicles were selected in Wuhan to study the emissions of fine particular matters (PM2.5) and associated chemical components by on-road tests through a Portable Emission Monitoring System (PEMS). The emission factors of PM2.5 and the compositions of it from different types of vehicle were obtained. Results showed that the average emission factors of PM2.5 from gasoline and diesel vehicles were 1.266 and 16.589 mg/km. As the emission standard of vehicles increased from China III to China V, PM2.5 emission factor gradually decreased from 17.385 to 1.520 mg/km. Emission rate of PM2.5 was 0.0384 mg/s under low speed, and it increased to 0.0775 and 0.0964 mg/s under the medium and high speeds. The ratio of organic carbon versus elemental carbon (OC/EC) in PM2.5 from gasoline vehicles was 6.89, which was greater than that of diesel vehicles as 3.12. Because gasoline was made of small molecules and the compression ratio of gasoline engine was relatively low, some OC remained in the area where the ignition failed in the cylinder. The top four water-soluble ions with high emission factors were Cl-, SO42-, Ca2+, and Na+, while K, Na, Ca and Mg had a larger emission factors in the 21 tested inorganic elements. These water-soluble ions and inorganic elements mainly came from the oil burning, fuel additives and engines wear. Results of PM2.5 emission characteristics would help to improve the air quality in Wuhan.
Collapse
Affiliation(s)
- Hao Huang
- School of Environmental Science and Engineering, Huazhong University of Science & Technology, Wuhan, 430074, PR China
| | - Jinjie Zhang
- CATARC Automotive Inspection Center (Wuhan) Company, Wuhan, 430056, PR China
| | - Hui Hu
- School of Environmental Science and Engineering, Huazhong University of Science & Technology, Wuhan, 430074, PR China.
| | - Shaofei Kong
- School of Environmental Studies, China University of Geosciences, Wuhan, 430074, PR China
| | - Shihua Qi
- School of Environmental Studies, China University of Geosciences, Wuhan, 430074, PR China
| | - Xiaoyong Liu
- Hubei Academy of Environmental Science, Wuhan, 430072, PR China
| |
Collapse
|
6
|
Shao L, Wang Y, Zhou C, Yang Z, Gao W, Wu Z, Li L, Yang Y, Yang Y, Zheng C, Gao X. Co-Benefits of Pollutant Removal, Water, and Heat Recovery from Flue Gas through Phase Transition Enhanced by Corona Discharge. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8844-8853. [PMID: 35620932 DOI: 10.1021/acs.est.2c00917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Pollutant removal and resource recovery from high-humidity flue gas after desulfurization in a thermal power plant are crucial for improving air quality and saving energy. This study developed a flue gas treatment method involving phase transition enhanced by corona discharge based on laboratory research and established a field-scale unit for demonstration. The results indicate that an adequate increase in size will improve the ease of particle capture. A wet electrostatic precipitator is applied before the condensing heat exchangers to enhance the particle growth and capture processes. This results in an increase of 58% in the particle median diameter in the heat exchanger and an emission concentration below 1 mg/m3. Other pollutants, such as SO3 and Hg, can also be removed with emission concentrations of 0.13 mg/m3 and 1.10 μg/m3, respectively. Under the condensation enhancement of the method, it is possible to recover up to 3.26 t/h of water from 200 000 m3/h saturated flue gas (323 K), and the quality of the recovered water meets the standards stipulated in China. Additionally, charge-induced condensation is shown to improve heat recovery, resulting in the recovery of more than 43.34 kJ/h·m3 of heat from the flue gas. This method is expected to save 2628 t of standard coal and reduce carbon dioxide emission by 2% annually, contributing to environmental protection and global-warming mitigation.
Collapse
Affiliation(s)
- Lingyu Shao
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
| | - Yifan Wang
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
| | - Can Zhou
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
| | - Zhengda Yang
- China University of Petroleum East China, College New Energy, Qingdao 266580, P. R. China
| | - Wenchao Gao
- Beijing institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China
| | - Zhicheng Wu
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
| | - Lianming Li
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
- Jiaxing New Jies Heat & Power Co., Ltd., Jiaxing 314016, P. R. China
| | - Yonglong Yang
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
| | - Yang Yang
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
| | - Chenghang Zheng
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
- Jiaxing Research Institute, Zhejiang University, Jiaxing 314000, P. R. China
| | - Xiang Gao
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, 38 Zheda Road, Hangzhou 310027, P. R. China
| |
Collapse
|
7
|
Does Ambient Secondary Conversion or the Prolonged Fast Conversion in Combustion Plumes Cause Severe PM2.5 Air Pollution in China? ATMOSPHERE 2022. [DOI: 10.3390/atmos13050673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
The ambient formation of secondary particulate matter (ambient FSPM) is commonly recognized as the major cause of severe PM2.5 air pollution in China. We present observational evidence showing that the ambient FSPM was too weak to yield a detectable contribution to extreme PM2.5 pollution events that swept northern China between 11 and 14 January 2019. Although the Community Multiscale Air Quality (CMAQ) model (v5.2) reasonably reproduced the observations in January 2019, it largely underestimated the concentrations of the PM2.5 during the episode. We propose a novel mechanism, called the “in-fresh-stack-plume non-precipitation-cloud processing of aerosols” followed by the evaporation of semi-volatile components from the aerosols, to generate PM2.5 at extremely high concentrations because of highly concentrated gaseous precursors and large amounts of water droplets in fresh cooling combustion plumes under poor dispersion conditions, low ambient temperature, and high relative humidity. The recorded non-precipitation-cloud processing of the aerosols in fresh stack combustion plumes normally lasts 20–30 s, but it prolongs as long as 2–5 min under cold, humid, and stagnant meteorological conditions and expectedly causes severe PM2.5 pollution events. Regardless of the presence of the natural cloud in the planetary boundary layer during the extreme events, the fast conversion of air pollutants in water droplets and the generation of the PM2.5 through the non-precipitation-cloud processing of aerosols always occur in fresh combustion plumes. The processing of aerosols is detectable using a nano-scan particle sizer assembled on an unmanned aerial vehicle to monitor the particle formation in stack plumes. In-fresh-stack-plume processed aerosols under varying meteorological conditions need to be studied urgently.
Collapse
|
8
|
Zhang J, Sun X, Deng J, Li G, Li Z, Jiang J, Wu Q, Duan L. Emission characteristics of heavy metals from a typical copper smelting plant. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127311. [PMID: 34600390 DOI: 10.1016/j.jhazmat.2021.127311] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/13/2021] [Accepted: 09/18/2021] [Indexed: 05/16/2023]
Abstract
Heavy metal emissions from non-ferrous smelting plants have been a rising concern. However, their emission characteristics were still unclear. In this study, the concentrations and gas-particle partition of five major heavy metals (Cu, Pb, As, Cr and Cd) in the flue gas from a typical copper smelting plant were measured. The bi-modal distribution of both particulate matter and heavy metals indicated that the particles in super-micron mode was caused by the mechanical crushing and escaping of raw materials, whereas the formation of submicron mode was due to the evaporation and subsequent condensation of volatile substances. The excellent performance of existing air pollution control devices in the studied smelter could substantially reduce the particulate matter and heavy metal concentrations in the extraction and smelting stages by 99.2%-99.9%. The emission factors of PM2.5, Cu, Pb, As, Cr, and Cd were only 283, 2.49, 0.97, 5.92, 0.28, and 0.06 g/t, mostly as the fugitive emission (84.2% on average). In addition, the 'unfilterable' phase of the heavy metals, including the gaseous species and solutes in the filter-penetrated droplet, accounted for averagely 45.8% of the total emissions at the outlet, which indicates the huge underestimation by particle collection only.
Collapse
Affiliation(s)
- Jiawei Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Xiaohui Sun
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Jianguo Deng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Guoliang Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Zhijian Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Qingru Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Lei Duan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of the Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| |
Collapse
|
9
|
Peng Y, Shi N, Wang J, Wang T, Pan WP. Mercury speciation and size-specific distribution in filterable and condensable particulate matter from coal combustion. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 787:147597. [PMID: 33992943 DOI: 10.1016/j.scitotenv.2021.147597] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/07/2021] [Accepted: 05/01/2021] [Indexed: 06/12/2023]
Abstract
Particle-bound mercury discharged with fine particulate matter from coal-fired power plants causes atmospheric pollution that impacts human health. In this study, the speciation and size-specific distribution of particle-bound mercury in filterable particulate matter (FPM) from an ultra-low emission power plant and condensable particulate matter (CPM) from an entrained flow reactor were analyzed. Most importantly, particle-bound mercury was enriched in fine particles smaller than 0.02 μm, whose mass fraction was several orders of magnitude higher than that in large particles. Particularly, HgBr2, HgCl2, and HgO were major mercury species in FPM, whereas CPM involves mostly HgCl2 with a small portion of HgBr2. The occurrence of these species was also confirmed by a thermodynamic equilibrium calculation. The results further revealed the effects of air pollution control devices (APCDs) on the speciation of particle-bound mercury. Specifically, an electrostatic precipitator (ESP) removed most particle-bound mercury. Similarly, wet flue gas desulfurization (WFGD) dramatically reduced particle-bound mercury for most particles, except those between 0.1 and 1 μm. At the outlet of WFGD, mercury bound with FPM10 (smaller than 10 μm) is only 0.15% of the total mercury at the inlet of selective catalytic reduction (SCR). This knowledge provides insights that can be used to design and optimize the control strategy for mercury emission in power plants.
Collapse
Affiliation(s)
- Yue Peng
- Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing 102206, China
| | - Nan Shi
- Exploration and Petroleum Engineering Advanced Research Center, Saudi Aramco, Dhahran, Saudi Arabia
| | - Jiawei Wang
- Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing 102206, China.
| | - Tao Wang
- Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing 102206, China
| | - Wei-Ping Pan
- Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing 102206, China; ICSET Solutions, Bowling Green, KY 42104, USA
| |
Collapse
|
10
|
Wang H, Wang S, Zhang J, Wang H, Li H, Zhao Y. Preparation of modified mesostructured cellular foams and study on NO adsorption from flue gas. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.04.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
11
|
Liu H, Tan Q, Jiang X, Ma S, Liao W, Yang F, Huang F. Comprehensive evaluation of flue gas desulfurization and denitrification technologies of six typical enterprises in Chengdu, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:45824-45835. [PMID: 32803594 DOI: 10.1007/s11356-020-10460-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
Post-combustion flue gas desulfurization and denitrification technologies are essential in achieving the full compliance of fine particulate matter (PM2.5, aerodynamic diameter less than 2.5 μm) air quality standards by 2030 in China as sulfur dioxide (SO2) and nitrogen oxides (NOX) are the main precursors of PM2.5. Some studies have addressed the performance evaluation of desulfurization technology, but none included the water-soluble ions (sulfate (SO42-), nitrate (NO3-), etc.) as an indicator nor accounted for uncertainty involved. In this study, we present a multilevel fuzzy method that integrates the analytic hierarchy process with fuzzy theory, defines SO42-concentration as a new environmental indicator, and is supplemented with an uncertainly analysis and apply the method for the techno-economic and environmental evaluation of desulfurization and denitrification technologies in six typical enterprises (including two power plants and three industrial production plants and a waste incineration plant) in Chengdu, China. The evaluation shows that first, the fluctuating desulfurization rate and the dosage leads to changed ranking of the economic and technical secondary evaluation results, with the overall comprehensive evaluation ranks unchanged. Second, from the perspective of environmental protection agency and the public, if the environmental indicators are empowered, the lower the SO42-concentration of an enterprise, the better its evaluation ranking will be and vice versa. Third, if we re-empower from the perspective of the enterprise, under the condition that the technical feasibility is met and the environmental indicators are basically up to standard, the low-cost removing process is more likely to be the tendency of the enterprise. In summary, the findings of the study have led to the conclusions that (1) for the power industry, the integration of desulfurization, denitrification, and dedusting technologies should be promoted rigorously; (2) the non-power industry should continue the end-of-pipe treatment and environmental protection regulatory policies of the power industry; and (3) the energy industry structure should be optimized with enhanced end-of-pipe control technologies to achieve deep reduction of air pollutants.
Collapse
Affiliation(s)
- Hezijun Liu
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Qinwen Tan
- Key Laboratory of Air Pollution Research, Chengdu Academy of Environmental Sciences, Chengdu, 610072, China
| | - Xia Jiang
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Shenggui Ma
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.
| | - Wenjie Liao
- Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu, 610065, China.
| | - Fumo Yang
- College of Architecture and Environment, Sichuan University, Chengdu, 610065, China
| | - Fengxia Huang
- Key Laboratory of Air Pollution Research, Chengdu Academy of Environmental Sciences, Chengdu, 610072, China
| |
Collapse
|
12
|
Liu Q, Liu B, Liu Q, Guo S, Wu X. Probing mesoporous character, desulfurization capability and kinetic mechanism of synergistic stabilizing sorbent Ca xCu yMn zO i/MAS-9 in hot coal gas. J Colloid Interface Sci 2020; 587:743-754. [PMID: 33234310 DOI: 10.1016/j.jcis.2020.11.034] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/01/2020] [Accepted: 11/08/2020] [Indexed: 11/28/2022]
Abstract
Developing structurally stable sorbents for high-temperature H2S direct removal is recognized as a valuable energy-saving strategy for efficient utilization of hot coal gas (HCG), which depends upon their mesoporous features and desulfurization capabilities. Herein, tailored hierarchical CaxCuyMnzOi/MAS-9 sorbents were fabricated via a facile sol-gel method using high-activity phase CaxCuyMnzOi anchored onto versatile mesoporous MAS-9. After O/S-exchange procedure, noteworthy straight channels of MAS-9 (SBET = 808 m2 g-1) provided enough available spaces for the storage of generative large MeSy nanoparticles, which was better than other conventional zeolites. The probing of variables (i.e. support type, active ingredient, loadings, and sulfidation temperature) on H2S removal revealed that 50%Ca3Cu10Mn87Oi/MAS-9 shared an excellent breakthrough sulfur capacity (171.57 mg g-1) at 800 °C, even it experienced six reusable cycles, due to synergistic stabilizing effect of Ca-Cu-Mn and high-temperature tolerance of SiOAl framework of MAS-9. Especially, CaO dopant endowed the sorbent with superficial alkalinity and high-temperature resistance. The brilliant desulfurization behavior was also described by the fast H2S diffusion or component deactivation vs. duration time on stream according to the followed kinetic investigation. Thus, the refined Ca3Cu10Mn87Oi/MAS-9 possesses the expected representative desulfurization nature and great potentiality for raw HCG in practical applications.
Collapse
Affiliation(s)
- Qiang Liu
- Department of Chemistry, School of Science, Tianjin University, and the National Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, People's Republic of China; School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, People's Republic of China
| | - Bingsi Liu
- Department of Chemistry, School of Science, Tianjin University, and the National Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, People's Republic of China.
| | - Qinze Liu
- School of Materials Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, People's Republic of China
| | - Shitong Guo
- Department of Chemistry, School of Science, Tianjin University, and the National Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, People's Republic of China
| | - Xuanyue Wu
- Department of Chemistry, School of Science, Tianjin University, and the National Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin 300072, People's Republic of China
| |
Collapse
|
13
|
Wang G, Deng J, Zhang Y, Zhang Q, Duan L, Hao J, Jiang J. Air pollutant emissions from coal-fired power plants in China over the past two decades. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 741:140326. [PMID: 32603941 DOI: 10.1016/j.scitotenv.2020.140326] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/14/2020] [Accepted: 06/16/2020] [Indexed: 05/24/2023]
Abstract
China is the largest coal producer and consumer in the world, and coal-fired power plants are among its major sources of air pollutants. The Chinese government has implemented various stringent measures to reduce air pollutant emissions over the past two decades. National statistical data, emission inventories, and satellite observations indicate that air pollutant emissions from coal-fired power plants have been effectively controlled. Field measurements at coal-fired power plants can provide valuable information about the long-term trend of air pollutant emissions and the driving factors. In this study, we evaluated air pollutant emissions from 401 units at 308 coal-fired power plants. An appreciable reduction in air pollutant concentrations and emission factors from coal-fired power plants in China is observed over the past two decades. The drivers for this trend from the perspective of policy making, application of removal technologies, tightening of emission standards, technological improvement, monitoring systems, and economic measures are discussed. Currently, concentrations of typical air pollutants from coal-fired power plants in China are lower than those in Japan, Germany, and the US. This can be attributed to the policies and lenient emission standards for power plants in these countries. The technological improvement of air pollution control devices is the key factor that has led to reductions in air pollutant emissions in China. China has built the largest system of clean coal-fired power plants in the world.
Collapse
Affiliation(s)
- Gang Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Department of Environmental and Safety Engineering, College of Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China
| | - Jianguo Deng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Ying Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Qiang Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Lei Duan
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Jiming Hao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| |
Collapse
|
14
|
Wu B, Bai X, Liu W, Zhu C, Hao Y, Lin S, Liu S, Luo L, Liu X, Zhao S, Hao J, Tian H. Variation characteristics of final size-segregated PM emissions from ultralow emission coal-fired power plants in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 259:113886. [PMID: 31918144 DOI: 10.1016/j.envpol.2019.113886] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 12/25/2019] [Accepted: 12/26/2019] [Indexed: 06/10/2023]
Abstract
The ultralow emission (ULE) retrofits for Chinese coal-fired power plants (CFPPs) are nearing completion. Large-scale and rapid retrofits have resulted in significant changes in the emission level and characteristics of particulate matter (PM). To investigate the variation characteristics of final three size fractions PM (PM2.5, PM10-2.5, PM>10) emissions, we conducted field tests at the outlets of wet flue gas desulfurization (WFGD) and wet electrostatic precipitator (WESP) by a pair of two-stage virtual impactors in eight representative ULE CFPPs. Our results indicate that, after WESP installations, the mass concentrations of final PM are significantly reduced and those of the final total ions and elements decrease as most individual chemical compositions are reduced. WESP presents an excellent removal performance for large particle sizes and high PM concentrations. SO42- is the major ionic component at both the outlets of WFGD and WESP, and its proportion in total ions is reduced to some extent through WESP. Furthermore, the average mass contents of SO42- and most elements in PM2.5 are significantly lower than those in PM10-2.5 and PM>10 whether at the WFGD-outlets or WESP-outlets. By comparison, chemical profiles of PM have substantially changed after ULE retrofits, and those after WFGD (e.g., sulfate, Zn, Pb, and Cu) have also changed relative to existing data. The end-tail emission factors (EFs) of PM2.5, PM10, and PMtotal under the typical ULE technical routes of WESP are calculated in time, and the corresponding EFs are in the range of 2.82-8.97, 15.7-27.6, and 38.6-61.7 g t-1, respectively. We believe the latest detailed PM EFs and the associated chemical profiles provided in this study are more representative of the current emission situations of Chinese CFPPs.
Collapse
Affiliation(s)
- Bobo Wu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Xiaoxuan Bai
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Wei Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Chuanyong Zhu
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China; School of Environmental Science and Engineering, Qilu University of Technology, Jinan, 250353, China
| | - Yan Hao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Shumin Lin
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Shuhan Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Lining Luo
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Xiangyang Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Shuang Zhao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China
| | - Jiming Hao
- School of Environment, Tsinghua University, Beijing, 100084, China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing, 100875, China.
| |
Collapse
|
15
|
Wu B, Tian H, Hao Y, Liu S, Sun Y, Bai X, Liu W, Lin S, Zhu C, Hao J, Luo L, Zhao S, Guo Z. Refined assessment of size-fractioned particulate matter (PM 2.5/PM 10/PM total) emissions from coal-fired power plants in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 706:135735. [PMID: 31806313 DOI: 10.1016/j.scitotenv.2019.135735] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 11/22/2019] [Accepted: 11/22/2019] [Indexed: 06/10/2023]
Abstract
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 PMtotal obtained 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 PMtotal from Chinese CFPPs in 2017 is established, with the corresponding total emissions of 143, 207, and 267 kt, respectively. Our estimation of PMtotal emission 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 PMtotal until 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.
Collapse
Affiliation(s)
- Bobo Wu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China.
| | - Yan Hao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Shuhan Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Yujiao Sun
- College of Water Sciences, Beijing Normal University, Beijing 100875, China.
| | - Xiaoxuan Bai
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Wei Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Shumin Lin
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Chuanyong Zhu
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China; School of Environmental Science and Engineering, Qilu University of Technology, Jinan 250353, China
| | - Jiming Hao
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Lining Luo
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Shuang Zhao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Zhihui Guo
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
16
|
Cheng T, Zhou X, Yang L, Wu H, Fan H. Transformation and removal of ammonium sulfate aerosols and ammonia slip from selective catalytic reduction in wet flue gas desulfurization system. J Environ Sci (China) 2020; 88:72-80. [PMID: 31862081 DOI: 10.1016/j.jes.2019.08.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 07/19/2019] [Accepted: 08/01/2019] [Indexed: 06/10/2023]
Abstract
Selective catalytic reduction (SCR) denitration may increase the emission of NH4+ and NH3. The removal and transformation characteristics of ammonium sulfate aerosols and ammonia slip during the wet flue gas desulfurization (WFGD) process, as well as the effect of desulfurization parameters, were investigated in an experimental system equipped with a simulated SCR flue gas generation system and a limestone-based WFGD system. The results indicate that the ammonium sulfate aerosols and ammonia slip in the flue gas from SCR can be partly removed by slurry scrubbing, while the entrainment and evaporation of desulfurization slurry with accumulated NH4+ will generate new ammonium-containing particles and gaseous ammonia. The ammonium-containing particles formed by desulfurization are not only derived from the entrainment of slurry droplets, but also from the re-condensation of gaseous ammonia generated by slurry evaporation. Therefore, even if the concentration of NH4+ in the desulfurization slurry is quite low, a high level of NH4+ was still contained in the fine particles at the outlet of the scrubber. When the accumulated NH4+ in the desulfurization slurry was high enough, the WFGD system promoted the conversion of NH3 to NH4+ and increased the additional emission of primary NH4+ aerosols. With the decline of the liquid/gas ratio and flue gas temperature, the removal efficiency of ammonia sulfate aerosols increased, and the NH4+ emitted from entrainment and evaporation of the desulfurization slurry decreased. In addition, the volatile ammonia concentration after the WFGD system was reduced with the decrease of the NH4+ concentration and pH values of the slurry.
Collapse
Affiliation(s)
- Teng Cheng
- Key Laboratory for Energy Thermal Conversion and Control, Ministry of Education, Southeast University, Nanjing 210096, China
| | - Xincheng Zhou
- Jiangsu Frontier Electric Technology Co., Ltd., Nanjing 211102, China
| | - Linjun Yang
- Key Laboratory for Energy Thermal Conversion and Control, Ministry of Education, Southeast University, Nanjing 210096, China.
| | - Hao Wu
- School of Energy and Mechanical Engineering, Nanjing Normal University, Nanjing 210042, China.
| | - Hongmei Fan
- Key Laboratory for Energy Thermal Conversion and Control, Ministry of Education, Southeast University, Nanjing 210096, China
| |
Collapse
|
17
|
Liu W, Wu B, Bai X, Liu S, Liu X, Hao Y, Liang W, Lin S, Liu H, Luo L, Zhao S, Zhu C, Hao J, Tian H. Migration and Emission Characteristics of Ammonia/Ammonium through Flue Gas Cleaning Devices in Coal-Fired Power Plants of China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:390-399. [PMID: 31773945 DOI: 10.1021/acs.est.9b04995] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
To investigate the up-to-date migration and emission characteristics of NH3/NH4+ in coal-fired power plants (CFPPs) after implementing ultralow emission retrofitting, typical air pollution control devices (APCDs) in CFPPs, including flue gas denitrification, dust collectors, combined wet flue gas desulfurization (WFGD), and wet precipitators are involved in field measurements. The results show that most of the excessive injected and/or unreacted ammonia from the flue gas denitrification system, whether selective catalytic reduction (SCR) or selective noncatalytic reduction (SNCR), is converted into particle-bound NH4+ (>91%), and the rest (less than 9%) is carried by flue gas in the form of gaseous NH3, with a concentration value of 0.15-0.54 mg/(N m3) at the denitrification outlet. When passing through dust collectors, particle-bound NH4+ concentration decreases substantially along with the removal of particle matter. In WFGD, the dissolution and volatilization effects affect the gaseous ammonia concentration, which decreases when using limestone slurry and a 20% solution of ammonia as a desulfurization agent, while liquid ammonia solution with a high concentration (99.8%) may cause the flue gas NH3 concentration to increase considerably by 13 times. Particle-bound NH4+ concentration is mainly influenced by the relative strength of desulfurization slurry scouring and flue gas carrying effects and increases 2.84-116 times through ammonia-based WFGD. Furthermore, emission factors of NH3 for combinations of APCDs are discussed.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Chuanyong Zhu
- School of Environmental Science and Engineering, Qilu University of Technology, Jinan 250353, China
| | - Jiming Hao
- School of Environment, Tsinghua University, Beijing 100084, China
| | | |
Collapse
|
18
|
Jin Q, Shen Y, Li X, Zeng Y. Resource utilization of waste deNOx catalyst for continuous-flow catalysis by supported metal reactors. MOLECULAR CATALYSIS 2020. [DOI: 10.1016/j.mcat.2019.110634] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
|
19
|
Qiu X, Ying Q, Wang S, Duan L, Wang Y, Lu K, Wang P, Xing J, Zheng M, Zhao M, Zheng H, Zhang Y, Hao J. Significant impact of heterogeneous reactions of reactive chlorine species on summertime atmospheric ozone and free-radical formation in north China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 693:133580. [PMID: 31376754 DOI: 10.1016/j.scitotenv.2019.133580] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Revised: 07/23/2019] [Accepted: 07/23/2019] [Indexed: 06/10/2023]
Abstract
Heterogeneous reactions of N2O5, O3, OH, ClONO2, HOCl, ClNO2, and NO2, with chlorine-containing particles are incorporated in the Community Multiscale Air Quality (CMAQ) model to evaluate the impact of heterogeneous reactions of reactive chlorine species on ozone and free radicals. Changes of summertime ozone and free radical concentrations due to the additional heterogeneous reactions in north China were quantified. These heterogeneous reactions increased the O3, OH, HO2 and RO2 concentrations by up to 20%, 28%, 36% and 48% for some regions in the Beijing-Tianjin-Hebei (BTH) area. These areas typically have a larger amount of NOx emissions and a lower VOC/NOx ratio. The zero-out method evaluates that the photolysis of ClNO2 and Cl2 are the major contributors (42.4% and 57.6%, respectively) to atmospheric Cl in the early morning hours but the photolysis of Cl2 is the only significant contributor after 10:00 am. The results highlight that heterogeneous reactions of reactive chlorine species are important to atmospheric ozone and free-radical formation. Our study also suggests that the on-going NOx emission controls in the NCP region with a goal to reduce both O3 and secondary nitrate can also have the co-benefit of reducing the formation Cl from ClNO2 and Cl2, which may also lead to lower secondary organic aerosol formation and thus the control of summertime PM2.5 in the region.
Collapse
Affiliation(s)
- Xionghui Qiu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Qi Ying
- Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, United States.
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Lei Duan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yuhang Wang
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States
| | - Keding Lu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Peng Wang
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, 999077, Hong Kong, China
| | - Jia Xing
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Mei Zheng
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Minjiang Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Haotian Zheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yuanhang Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Jiming Hao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| |
Collapse
|
20
|
Ding X, Li Q, Wu D, Liang Y, Xu X, Xie G, Wei Y, Sun H, Zhu C, Fu H, Chen J. Unexpectedly Increased Particle Emissions from the Steel Industry Determined by Wet/Semidry/Dry Flue Gas Desulfurization Technologies. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:10361-10370. [PMID: 31390862 DOI: 10.1021/acs.est.9b03081] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
"Ultralow-emission" standards have started to be implemented for steel plants in China. Flue gas desulfurization (FGD) systems integrating desulfurization and dedusting, common end-of-pipe technologies before the stacks, have been a key process for controlling the complexity of sintering flue gas to meet ultralow-emission requirements. This study reports comprehensive analysis of the influence of wet/semidry/dry FGD systems on particulate emissions via a field investigation of five typical sinter plants equipped with various FGD devices. The size distribution and mass concentration of particulate matter (PM) are adjusted to different ranges by these FGD systems. Chemical analysis of the PM compositions shows that 20-95% of the mass of inlet PM is removed by FGD systems, while it is estimated that approximately 17, 63, 59, and 71% of the outlet PMs are newly contributed by desulfurizers and their byproducts for the tested wet limestone, wet ammonia, semidry circulating fluidized bed, and activated coke FGD systems, respectively. The newly contributed compositions of PM2.5 emitted from these FGD systems are dominated by CaSO4, (NH4)2SO4, CaSO4 + CaO, and coke carbon, respectively. These results suggest that the deployment of FGD technology should be comprehensively considered to avoid additional negative impacts from byproducts generated in control devices on the atmosphere.
Collapse
Affiliation(s)
- Xiang Ding
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
| | - Qing Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
- Shanghai Institute of Eco-Chongming (SIEC) , No. 3663 Northern Zhongshan Road , Shanghai 200062 , China
| | - Di Wu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
| | - Yingguang Liang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
| | - Xianmang Xu
- Biological Engineering Technology Innovation Center of Shandong Province , Shandong Academy of Sciences , Heze 274008 , China
| | - Guangzhao Xie
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
| | - Yaqi Wei
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
| | - Hao Sun
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
| | - Chao Zhu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
| | - Hongbo Fu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
- Shanghai Institute of Eco-Chongming (SIEC) , No. 3663 Northern Zhongshan Road , Shanghai 200062 , China
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Institute of Atmospheric Sciences , Fudan University , Shanghai 200433 , China
- Shanghai Institute of Eco-Chongming (SIEC) , No. 3663 Northern Zhongshan Road , Shanghai 200062 , China
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment , Chinese Academy of Sciences , Xiamen 361021 , China
| |
Collapse
|
21
|
Wu Q, Gu M, Du Y, Zeng H. Synergistic removal of dust using the wet flue gas desulfurization systems. ROYAL SOCIETY OPEN SCIENCE 2019; 6:181696. [PMID: 31417692 PMCID: PMC6689652 DOI: 10.1098/rsos.181696] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 05/23/2019] [Indexed: 06/10/2023]
Abstract
Coal is still a major energy source, mostly used in power plants. However, the coal combustion emits harmful SO2 and fly ash. Wet flue gas desulfurization (WFGD) technology is extensively used to control SO2 emissions in power plants. However, only limited studies have investigated the synergistic dust removal by the WFGD system. Spray scrubbers and sieve-tray spray scrubbers are often used in WFGD systems to improve the SO2 removal efficiency. In this study, the synergistic dust removal of WFGD systems for a spray scrubber and a sieve-tray spray scrubber was investigated using the experimental and modelling approaches, respectively. For the spray scrubber, the influence of parameters, including dust particle diameters and inlet concentrations of dust particles, and the flow rates of flue gas and slurry of limestone/gypsum on the dust removal efficiency, was investigated. For the sieve-tray spray scrubber, the influence of parameters such as the pore diameter and porosity of sieve trays on the dust removal efficiency was examined. The study found that the dust removal efficiency in the sieve-tray spray scrubber was approximately 1.1-10.6% higher than that of the spray scrubber for the same experimental conditions. Based on the parameters investigated and geometric parameters of a scrubber, a novel droplets swarm model for dust removal efficiency was developed from the single droplet model. The enhanced dust removal efficiency of sieve tray was expressed by introducing a strength coefficient to an inertial collision model. The dust removal efficiency model for the sieve-tray spray scrubber was developed by combining the droplets swarm model for the spray scrubber with the modified inertial collision model for the sieve tray. The results simulated using both models are consistent with the experimental data obtained.
Collapse
Affiliation(s)
- Qirong Wu
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, College of Resources and Environmental Science, Chongqing University, Chongqing 400044, People's Republic of China
- SPIC (State Power Investment Corporation) Yuanda Environmental Protection Engineering Co., Ltd., Chongqing 400012, People's Republic of China
| | - Min Gu
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, College of Resources and Environmental Science, Chongqing University, Chongqing 400044, People's Republic of China
| | - Yungui Du
- SPIC (State Power Investment Corporation) Yuanda Environmental Protection Engineering Co., Ltd., Chongqing 400012, People's Republic of China
| | - Hanxiao Zeng
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, College of Resources and Environmental Science, Chongqing University, Chongqing 400044, People's Republic of China
| |
Collapse
|
22
|
Wang G, Ma Z, Deng J, Li Z, Duan L, Zhang Q, Hao J, Jiang J. Characteristics of particulate matter from four coal-fired power plants with low-low temperature electrostatic precipitator in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 662:455-461. [PMID: 30695745 DOI: 10.1016/j.scitotenv.2019.01.080] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 01/03/2019] [Accepted: 01/08/2019] [Indexed: 06/09/2023]
Abstract
The performance of traditional electrostatic precipitators (ESPs) is strongly affected by the flue gas temperature. Operating under much lower temperatures (e.g., ~90 °C), the low-low temperature electrostatic precipitators (LLT-ESPs) are considered as an effective technology to improve the particulate matter (PM) removal efficiency in coal-fired power plants (CFPPs). Wet flue gas desulfurization (WFGD) can also be affected by the decrease in the operating temperature of the ESP. This study evaluates the influence of various ESP operating temperatures on ESP performance, PM2.5 (particles with an aerodynamic diameter of ≤2.5 μm), and total dust emission characteristics at the ESP and WFGD outlets in CFPPs equipped with LLT-ESPs. PM2.5 and total dust concentrations at the ESP and WFGD outlets in CFPPs installed with LLT-ESPs are much lower than those with traditional ESPs. The PM concentrations at both the ESP and WFGD outlets show a decreasing trend with a decrease in the operating temperature. However, the concentration of total water-soluble ions (mainly SO42-, Cl-, and NH4+) in the total dust at the outlet of ESPs increases from 0.3 to 0.8 mg/m3 as the temperature decreases from > 90 °C to 80-90 °C, which is contrary to that at the WFGD outlet (decreases from 4.7 to 0.8 mg/m3). The PM2.5 and total dust concentrations increase by 10.2-80.2% and 13.7-77.0%, respectively, through the WFGD unit due to the entrainment of a gypsum slurry. A relatively lower operating temperature of LLT-ESPs in power plants is also beneficial to decrease the incremental effect of PM emissions in the process of WFGD. The recommended operating temperature for LLT-ESPs is ~90 °C, and limited improvement on PM reduction can be achieved with a further temperature decrease from 90 to 80 °C.
Collapse
Affiliation(s)
- Gang Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Zizhen Ma
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jianguo Deng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Zhen Li
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Lei Duan
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Qiang Zhang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jiming Hao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| |
Collapse
|
23
|
Liu X, Gao X, Wu X, Yu W, Chen L, Ni R, Zhao Y, Duan H, Zhao F, Chen L, Gao S, Xu K, Lin J, Ku AY. Updated Hourly Emissions Factors for Chinese Power Plants Showing the Impact of Widespread Ultralow Emissions Technology Deployment. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:2570-2578. [PMID: 30689944 DOI: 10.1021/acs.est.8b07241] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Nationwide severe air pollution has prompted China to mandate the adoption of ultralow emissions (ULE) control technologies at all of its coal-fired power plants by 2020. This process has accelerated greatly since 2014 and, combined with operational adjustments related to overcapacity, has reduced the emissions of nitrogen oxides (NO x), sulfur dioxide (SO2), and particulate matter (PM). Yet the quantitative understanding of ULE benefits is poor. Using detailed emissions data from 38 units at 17 power plants, corresponding to 10 combinations of ULE technologies representative of the Chinese power sector, we show that emissions factors for NO x, SO2, and PM are up to 1-2 orders of magnitude lower after ULE retrofitting. The effectiveness in cutting emissions shows a large spread across the various ULE technology combinations, providing an opportunity to choose the most efficient, economically viable technology (or a combination of technologies) in the future. The temporal variations in emissions at hourly resolution reveal the effects of power plant load on emissions, an increasingly important factor given that power plants are not operated at full capacity. These data will be useful in efforts to understand the evolving state of air quality in China and can also provide a basis for benchmarking state-of-the-art air pollution control equipment globally.
Collapse
Affiliation(s)
- Xiao Liu
- National Institute of Clean-and-Low-Carbon Energy , Beijing 102211 , China
| | - Xing Gao
- National Institute of Clean-and-Low-Carbon Energy , Beijing 102211 , China
| | - Xinbin Wu
- Shenhua Environment Remote Sensing and Monitoring Center , Shenhua Geological Exploration Company , Beijing 102211 , China
| | - Weilin Yu
- National Institute of Clean-and-Low-Carbon Energy , Beijing 102211 , China
| | - Lulu Chen
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics , Peking University , Beijing 100871 , China
| | - Ruijing Ni
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics , Peking University , Beijing 100871 , China
| | - Yu Zhao
- State Key Laboratory of Pollution Control & Resource Reuse and School of the Environment , Nanjing University , 163 Xianlin Avenue , Nanjing , Jiangsu 210023 , China
| | - Hongwei Duan
- Shenhua Environment Remote Sensing and Monitoring Center , Shenhua Geological Exploration Company , Beijing 102211 , China
| | - Fuming Zhao
- Shenhua Environment Remote Sensing and Monitoring Center , Shenhua Geological Exploration Company , Beijing 102211 , China
| | - Lilin Chen
- Shenhua Environment Remote Sensing and Monitoring Center , Shenhua Geological Exploration Company , Beijing 102211 , China
| | - Shengming Gao
- Shenhua Environment Remote Sensing and Monitoring Center , Shenhua Geological Exploration Company , Beijing 102211 , China
| | - Ke Xu
- National Institute of Clean-and-Low-Carbon Energy , Beijing 102211 , China
| | - Jintai Lin
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics , Peking University , Beijing 100871 , China
| | - Anthony Y Ku
- National Institute of Clean-and-Low-Carbon Energy , Beijing 102211 , China
- NICE America Research , 2091 Stierlin Ct , Mountain View , California 94043 , United States
| |
Collapse
|
24
|
Jiang B, Xie Y, Xia D, Liu X. A potential source for PM 2.5: Analysis of fine particle generation mechanism in Wet Flue Gas Desulfurization System by modeling drying and breakage of slurry droplet. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 246:249-256. [PMID: 30557798 DOI: 10.1016/j.envpol.2018.12.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 11/30/2018] [Accepted: 12/01/2018] [Indexed: 06/09/2023]
Abstract
Aerosol particulate matter with dynamic diameter smaller than 2.5 μm (PM2.5) is the main cause for haze pollution in China. As a dominant precursor of PM2.5, SO2 emitted from industrial process is now strictly controlled by using limestone/gypsum Wet Flue Gas Desulfurization (WFGD) system in China. However, a phenomenon that fine particle derived from WFGD is recently addressed, and is suggested to be a potential source of primary PM2.5. Herein, a first investigation into the particle generation mechanism in WFGD system is conducted with a novel droplet (containing particles) drying and breakage model. The proposed model considers a random and porous crust instead of the previous regular crust assumption, and is verified by comparing the modeling results with measurements. An orthogonal test with four factors and three levels is carried out through modeling calculation, and flue gas temperature (Tg) in the inlet is found to be a governing parameter for PM2.5 yields in WFGD. With Tg in range of 120-160 °C, PM2.5 yields in desulfurizing tower can reach a maximum value at ∼2 × 108 cm-3 under typical WFGD condition. To avoid this situation and reduce the PM2.5 generation, Tg is suggested to be lower than 120 °C. Additionally, a new insight of the elimination effect of gas-gas heater (GGH) on "gypsum rain" in WFGD system is provided.
Collapse
Affiliation(s)
- Binfan Jiang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Yulei Xie
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Dehong Xia
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China; Beijing Key Laboratory of Energy Saving and Emission Reduction for Metallurgical Industry, University of Science and Technology Beijing, Beijing, 100083, China.
| | - Xiangjun Liu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| |
Collapse
|
25
|
Wu B, Tian H, Hao Y, Liu S, Liu X, Liu W, Bai X, Liang W, Lin S, Wu Y, Shao P, Liu H, Zhu C. Effects of Wet Flue Gas Desulfurization and Wet Electrostatic Precipitators on Emission Characteristics of Particulate Matter and Its Ionic Compositions from Four 300 MW Level Ultralow Coal-Fired Power Plants. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:14015-14026. [PMID: 30378426 DOI: 10.1021/acs.est.8b03656] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
To achieve ultralow-emission (ULE) standards, wet electrostatic precipitators (WESP) installed downstream from wet flue gas desulfurization (WFGD) have been widely used in Chinese coal-fired power plants (CFPPs). We conducted a comprehensive field test study at four 300 MW level ULE CFPPs, to explore the impact of wet clean processing (WFGD and WESP) on emission characteristics of three size fractions of particulate matter (PM: PM2.5, PM10-2.5, and PM>10) and their ionic compositions. All these CFPPs are installed with limestone-based/magnesium-based WFGD and followed by WESP as the end control device. Our results indicate that particle size distribution, mass concentration of PM, and ionic compositions in flue gas change significantly after passing WFGD and WESP. PM mass concentrations through WFGD are significantly affected by the relative strength between desulfur slurry scouring and flue gas carrying effects. Concentrations of ions in PM increase greatly after passing WFGD; especially, SO42- in PM2.5, PM10-2.5, and PM>10 increase on average by about 1.4, 3.9, and 8.3 times, respectively. However, WESP before the stack can effectively reduce final PM emissions and their major ionic compositions. Furthermore, emission factors (kg/(t of coal)) of PM for different combinations of air pollution control devices are presented and discussed.
Collapse
Affiliation(s)
- Bobo Wu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Yan Hao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
| | - Shuhan Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Xiangyang Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Wei Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Xiaoxuan Bai
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Weizhao Liang
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Shumin Lin
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Yiming Wu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Panyang Shao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Huanjia Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment , Beijing Normal University , Beijing 100875 , China
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
| | - Chuanyong Zhu
- Center for Atmospheric Environmental Studies , Beijing Normal University , Beijing 100875 , China
- School of Environmental Science and Engineering , Qilu University of Technology , Jinan 250353 , China
| |
Collapse
|
26
|
Fenn ME, Bytnerowicz A, Schilling SL, Vallano DM, Zavaleta ES, Weiss SB, Morozumi C, Geiser LH, Hanks K. On-road emissions of ammonia: An underappreciated source of atmospheric nitrogen deposition. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 625:909-919. [PMID: 29996462 DOI: 10.1016/j.scitotenv.2017.12.313] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 12/26/2017] [Accepted: 12/27/2017] [Indexed: 05/26/2023]
Abstract
UNLABELLED We provide updated spatial distribution and inventory data for on-road NH3 emissions for the continental United States (U.S.) On-road NH3 emissions were determined from on-road CO2 emissions data and empirical NH3:CO2 vehicle emissions ratios. Emissions of NH3 from on-road sources in urbanized regions are typically 0.1-1.3tkm-2yr-1 while NH3 emissions in agricultural regions generally range from 0.4-5.5tkm-2yr-1, with a few hotspots as high as 5.5-11.2tkm-2yr-1. Counties with higher vehicle NH3 emissions than from agriculture include 40% of the U.S. POPULATION The amount of wet inorganic N deposition as NH4+ from the National Atmospheric Deposition Program (NADP) network ranged from 37 to 83% with a mean of 58.7%. Only 4% of the NADP sites across the U.S. had <45% of the N deposition as NH4+ based on data from 2014 to 2016, illustrating the near-universal elevated proportions of NH4+ in deposition across the U.S. Case studies of on-road NH3 emissions in relation to N deposition include four urban sites in Oregon and Washington where the average NH4-N:NO3-N ratio in bulk deposition was 2.3. At urban sites in the greater Los Angeles Basin, bulk deposition of NH4-N and NO3-N were equivalent, while NH4-N:NO3-N in throughfall under shrubs ranged from 0.6 to 1.7. The NH4-N:NO3-N ratio at 7-10 sites in the Lake Tahoe Basin averaged 1.4 and 1.6 in bulk deposition and throughfall, and deposition of NH4-N was strongly correlated with summertime NH3 concentrations. On-road emissions of NH3 should not be ignored as an important source of atmospheric NH3, as a major contributor to particulate air pollution, and as a driver of N deposition in urban and urban-affected regions.
Collapse
Affiliation(s)
- Mark E Fenn
- USDA Forest Service, Pacific Southwest Research Station, 4955 Canyon Crest Drive, Riverside, CA 92507, USA.
| | - Andrzej Bytnerowicz
- USDA Forest Service, Pacific Southwest Research Station, 4955 Canyon Crest Drive, Riverside, CA 92507, USA
| | - Susan L Schilling
- USDA Forest Service, Pacific Southwest Research Station, 4955 Canyon Crest Drive, Riverside, CA 92507, USA
| | - Dena M Vallano
- Environmental Studies Department, University of California, Santa Cruz, CA 95064, USA
| | - Erika S Zavaleta
- Environmental Studies Department, University of California, Santa Cruz, CA 95064, USA
| | - Stuart B Weiss
- Creekside Center for Earth Observations, Menlo Park, CA 94025, USA
| | - Connor Morozumi
- Environmental Studies Department, University of California, Santa Cruz, CA 95064, USA
| | - Linda H Geiser
- U.S. Forest Service, Watershed, Fish, Wildlife, Air & Rare Plants, 201 14th Street SW, Washington, DC 20250, USA
| | - Kenneth Hanks
- USDA Forest Service, Pacific Southwest Research Station, 4955 Canyon Crest Drive, Riverside, CA 92507, USA
| |
Collapse
|