Abstract

In recent years, in the Northeast of China, the heating period comes with large range of haze weather. All the units of coal power plants in Jilin Province have completed the cogeneration reformation; they provide local city heat energy. Many people believe that coal power plants heating caused the heavy haze. In is paper, by compared concentration of PM2.5 in environment in heating period and non heating period, meanwhile the capacity of local coal power plants, conclude that the PM2.5 emission of coal power plants not directly cause the heavy haze in Changchun and Jilin in the end of October and early November. In addition, the water-soluble iron composition of PM2.5 coal power plant emissions is compared with environment, which further proves that the heating supply in coal power plants is not the cause of high concentration of PM2.5 in Jilin province.

Highlights

  • Jilin province encountered heavy haze from the middle d of October to the middle of November yearly in the past ten years

  • Coal is using for heating, most of coal is consumed by coal power plants, so the conclusion that the huge amount of gas discharged from cogeneration coal power plants, cogeneration coal power plants provide heat may be the reason of haze[1]

  • For proving the influence of PM2.5 coal power plant emissions on environment PM2.5 in Jilin Province, PM2.5 which is from coal power plants is compared to environment PM2.5 and soluble ions are compared by seasonal

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Summary

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The influence of PM2.5 coal power plant emissions on environment PM2.5 in Jilin Province, China. To cite this article: Ye Sun et al 2018 IOP Conf. View the article online for updates and enhancements. - Early transformation of the Chinese power sector to avoid additional coal lock-in Huan Wang, Wenying Chen, Christoph Bertram et al. - The persistence of flexible coal in a deeply decarbonizing energy system Yongbin Ding, Mingquan Li, Ahmed Abdulla et al. - Potential of biomass and coal co-firing power plants in Indonesia: a PESTEL analysis A Sugiyono, I Febijanto, E Hilmawan et al. This content was downloaded from IP address 154.13.228.44 on 02/03/2022 at 21:30

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