Recently, as a national problem caused by PM10, the government is pushing for measures such as indoor coil yard to reduce air pollutants generated in coal storage yard. However the most important way to reduce PM10 occurring in coal storage yard is to calculate the emission of PM10. Currently, Korea is using coal storage and emission coefficients to calculate PM10 emissions of coal storage yard. This method is an average annual emission that reflects only statistical figures, and has a limitation in that it can not calculate real-time emissions considering weather changes and surrounding effects.
The purpose of this study is to analyze flux emissions for high-concentration fine dust occurrence days and analyze them in conjunction with the weather and concentration from the perspective of flux.
The experimental materials and methods are the turbulent transport amount using the covariance of 3-dimensional wind speed, wind direction, temperature, etc. measured in real time at a period of 10 Hz using the micrometeorological flux observation method and the gradient method, and the PM10 measured by the light scattering sensor at two heights. In order to calculate the real-time flux emission, measurements were carried out for the ash treatment plant of the coal-fired power plant at two different points.
The operation of the fugitive dust flux measuring device was installed near the ash treatment plant of the coal-fired power plant located at points A and B. The measuring device operation period was conducted for about 30 days from November 01, 2021 to November 30, and the data measured in real time was analyzed.
The following conclusions were drawn as a study on the interpretation of emissions according to different meteorological conditions by measuring fugitive dust flux emissions for the ash treatment plant of coal-fired power plants and using the measured values as real-time flux emissions.
First, the data extracted through the real-time flux emission monitoring system was analyzed for real-time flux emission reflecting the actual weather condition. In the case of Point A, the average of real-time flux emissions on the emergency reduction action day is 12.4 ㎍/m²*s, and 4.5 ㎍/m²*s on the clean day. In the case of point B, the average of real-time flux emission amount in real time on the emergency reduction action day was 14.9 ㎍/m²*s, and in the case of the clean day, it was 6.6 ㎍/m²*s.
Second, as a result of comparative analysis of real-time flux emissions at each point within the same measurement period, the analysis was conducted by selecting dates showing conflicting emissions among the three flux scenarios. In the case of November 11, the average of emissions at point A was 16.2 ㎍/m²*s, indicating high emissions, but in the case of point B, it was analyzed as a relatively low emission at 9.4 ㎍/m²*s. In this way, flux emissions that change every moment due to weather and surrounding factors were confirmed.
Thirdly, the bare site emission factor currently used in CAPSS and the real-time flux emission were compared and analyzed. As a result, in the case of bare site emission factors used in CAPSS, point A was calculated as 0.25 g/m²/mon and point B as 0.76 g/m²/mon. However, as a result of calculating the flux considering the actual weather, it was confirmed that point A was 27.3 g/m²/mon and point B was 16.6 g/m²/mon, which was very different from the bare site emission factor
In the results of this study, real-time flux emission analysis confirmed that real-time different meteorological conditions can be interpreted in terms of real-time flux emission. In addition, the importance of real-time flux emissions by linking and analyzing the actual meteorological situation of the urban air monitoring network and using it to develop scientific reduction plans based on the results of measuring emissions and concentrations using real-time flux emissions in the event of high-concentration fine dust occurrence and emergency reduction measures construction can be expected.