A Highly Resolved Mercury Emission Inventory of Chinese Coal-Fired Power Plants

Liu, Kaiyun; Wang, Shuxiao; Wang, Long; Ma, Qiao; Zhang, Lei; Li, Guoliang; Tian, Hezhong; Duan, Lei; Hao, Jiming

doi:10.1021/acs.est.7b06209

Cited by 157 publications

(105 citation statements)

References 38 publications

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“…A normal distribution with a coefficient of variation is set to be 5% for energy consumption data (Liu et al, ), while mercury content of consumed coal is assumed to fit a log‐normal distribution curve (Wu et al, ; Zhang et al, ). In terms of APCD removal efficiencies, different types of APCD combinations are considered to fit normal distribution or Weibull distribution, and the average and coefficient of variation are collected from previous studies (Liu et al, , ; Wu et al, ; Zhang et al, ). To acquire the reliable statistic distribution results, we set the sampling number as 10,000.…”

Section: Methodsmentioning

confidence: 99%

“…The provincial APCD installation rate of different type in 2017 is derived from the latest study (Liu et al, ). Other parameters such as provincial mercury content in consumed coal, mercury release rate of a certain type of boiler, removal efficiency of coal washing, and removal efficiency of a certain type of APCD combination are obtained based on various previous studies (Liu et al, ; Wu et al, ; Zhang et al, ). The ultimate factors used for coal‐fired power plants and coal‐fired industrial boiler at provincial level are summarized in Table S4.…”

Section: Methodsmentioning

confidence: 99%

“…However, a quantitative analysis for how China's green transition of energy system changed the national mercury emissions, especially in electricity sector, is left unexplored. Moreover, most of the existing studies only focus on how the pollution control actions and policies affect end‐of‐pipe mercury emissions (Chen, Li, Chen, Wei, Yang, Yao, Shao, Zhou, Xia, & Dong, ; Chen, Driscoll, et al, ; Liu et al, ; Wu, Li, et al, ; Wu et al, ; Wu, Wang, et al, ; Zhang et al, ; Zhang et al, ; Zhao et al, ), which fail to reveal how the green energy transition affects the sectoral and supply chain mercury emissions from a consumption perspective.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

How Green Transition of Energy System Impacts China's Mercury Emissions

Wei

Zhen

et al. 2019

Earth's Future

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China has long been committing to green transition of energy system to alleviate the heavy pollution; however, a quantitative analysis for its impact on air pollution has been lacking. To fill the knowledge gap, this study makes an initial attempt to reveal how green transition of energy system influences China's energy-related mercury emissions from both individual sector and supply chain perspectives, by using input-output (IO)-structural decomposition analysis and structural path analysis. Moreover, the aggregated power sector in the original IO tables are further disaggregated into seven types of power sectors to avoid the inherent huge uncertainty related to the aggregation. The results show that green transition in terms of emission factor control and energy mix adjustment has substantially benefited mercury reduction, while energy efficiency improvement has a much weaker effect. The largest consumption-based mercury reduction brought about by energy green transition happens in sector Construction, with an amount of 49.6 t. This study also finds that the green transition generally makes the production layers less mercury intensive, and the energy-related mercury emissions are more concentrated in the production layers. Policy suggestions for further enhancing energy green transition's mitigation effects for mercury emissions are comprehensively discussed. Plain Language SummaryChina is undergoing an unprecedented green transition towards a more renewable, more efficient, and less polluted energy system. An important question arises on how to quantify the impact of green transition on mercury emissions, a toxic global pollutant to both human health and ecosystem. To this end, an environment-economy integrated model is developed to link the mercury emissions with the production chain network in China. We find that green transition in terms of "less polluted" and "more renewable" has substantially benefited mercury reduction, while the effect of "more efficient" is much weaker. The green transition brings the largest mercury emission reduction along the upstream supply chains in sector Construction. This study also finds that the green transition generally makes the production layers less mercury intensive. By understanding the green transition's mitigation effects for mercury emissions, more targeted policies could be adopted for China to fulfill the commitment under Minamata Convention. Key Points:• We investigate how green transition of energy system impacts China's mercury emissions by using structural decomposition/path analysis • Green transition as emission factors and energy mix change have substantial benefits, while energy efficiency change has a weaker effect • Green transition makes production layers less mercury intensive, and mercury emissions are more concentrated in the production layers Supporting Information:• Supporting Information S1

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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How Green Transition of Energy System Impacts China's Mercury Emissions

Wei

Zhen

et al. 2019

Earth's Future

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“…According to the National Bureau of Statistics of China (), Chinese coal consumption (Figure ) has quadrupled since 1975, nearly tripling from 1998 to 2013 alone. The largest Chinese emission of Hg to the atmosphere in a single year, 2007, is estimated to be 105 tons (Liu et al ). The gaseous elemental Hg portion of these coal‐burning emissions from China has an unknown, potentially far‐reaching effect on Hg deposition on a global scale, affecting regional deposition the world over.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric Deposition of Coal‐Related Pollutants in the Pacific Northwest of the United States from 1950 to 2016

Sousa

Benson

Welty

et al. 2019

Enviro Toxic and Chemistry

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Coal-related elements are toxic and persistent pollutants that have spread globally since the industrial revolution, mainly from point-source emissions. A sediment core was collected from Deep Lake in northeastern Washington State (USA) by the Washington State Department of Ecology, with the aim of assessing recent changes in atmospheric deposition in the US Pacific Northwest. The core was divided into depth intervals and dated by lead-210. A sample from each cross section was digested and analyzed for toxic metals and metalloids using inductively coupled plasma-mass spectrometry. Data show recent increases in the concentrations of arsenic, barium, selenium, and mercury. Comparison with 1993 US Geological Survey ice core data from the Upper Fremont Glacier in Wyoming (USA), Asian coal consumption data, and weather patterns suggests that pollutant inputs to Deep Lake sediments are the result of coal-burning activities in the Asia-Pacific region. Most notably, mercury deposition in Deep Lake has increased from approximately 20 ppb in 1996 to 9470 ppb in 2014 (an~400-fold increase), and since 1993 when the ice core was analyzed. Environ Toxicol Chem 2020;39:335-342. © 2019 SETAC

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“…Although an increasing amount of attention has been paid to the work of thermal power units related to the power grid, the design of the control system has not adapted to new situations with the demand of PFM and PCS, and the performance of some units is still not up to the expected value. In [17][18][19], the authors point out that the response time, regulation speed, and regulation range of a PCS are closely related to the control mode of the unit. Therefore, the design of a PCS is an important factor, affecting the performance of units and the power grid.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Performance Assessment of Primary Frequency Modulation for a Power Control System Based on MATLAB

Wang

2018

Processes

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The primary frequency modulation (PFM) performance of a power control system (PCS) is an important factor affecting the security and stability of a power grid. The traditional control method is proportional integral (PI) control. In order to improve its dynamic control performance, a control method based on the combination of internal model control (IMC) and PI is proposed. Using the method of theoretical assessment and system identification, a simple simulated model of the typical PCS is established. According to the principle of system identification and the least square estimation (LSE) algorithm, the mathematical models of a generator and a built-in model are established. According to the four dynamic performance indexes, the main and auxiliary assessment index of the PCS are defined, and the benchmark and the result of the performance assessment are given. According to three different structures, the PFM dynamic performance of the PCS is analyzed separately. According to the dynamic performance assessment index of PFM, the structure of the control system and the influence of different parameters on the performance of the PCS are analyzed under ideal conditions. The appropriate control structure and controller parameters are determined. Secondly, under the non-ideal condition, the influence of the actual valve flow coefficient on the performance of the control system is studied under two different valve control modes. The simulation results show that the internal model combined with PI has better dynamic control performance and stronger robustness than the traditional PI control, and it also has better application prospects for thermal power plants.

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A Highly Resolved Mercury Emission Inventory of Chinese Coal-Fired Power Plants

Cited by 157 publications

References 38 publications

How Green Transition of Energy System Impacts China's Mercury Emissions

How Green Transition of Energy System Impacts China's Mercury Emissions

Atmospheric Deposition of Coal‐Related Pollutants in the Pacific Northwest of the United States from 1950 to 2016

Dynamic Performance Assessment of Primary Frequency Modulation for a Power Control System Based on MATLAB

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