Kee-Won Jang

Estimating PM Emission Factor from Coal-Fired Power Plants in Korea

In Korea, PM (Particulate Matter) emissions caused by coal-fired power plants are measured by a system, so called Clean Air Policy Support System (CAPSS), which uses foreign emission factors. However, the system fails to reflect the characteristics of domestic power plants. In this regard, this study aims to develop local, accurate domestic emission factors. The study measured the amount of TSP (Total Suspended Particulates), PM10 and PM2.5 by collecting samples from the latter parts of pollution control devices which were installed at 3 bituminous-fired power plants and 3 anthracite-fired power plants. The results showed that the average concentrations of TSP, PM10 and PM2.5 measured at bituminous-fired power plants were 4.63 mg/, 2.96 mg/ and 3.07 mg/ respectively, much higher than those from anthracite-fired power plants (2.96 mg/, 2.47 mg/ and 1.37 mg/, respectively). In addition, bituminous-fired power plants showed higher ratios of PM10/TSP and PM2.5/TSP with 0.66 and 0.92, respectively, compared to 0.82 and 0.46, the ratios of PM10/TSP and PM2.5/TSP measured in anthracite-fired power plants. Emission factors based-on concentration measurements were also higher for bituminous-fired power plants, and PM with smaller particles tended to have bigger difference in emission factors between the two fuels. This study calculated the amount of PM emissions by using the estimated emission factors. When it comes to the PM emissions, it was less than that of CAPSS while similar to that of CleanSYS in its amount. It is expected that the emission factors developed by this study will be used in Korea replacing foreign emission factors currently used in Korea by ensuring the objectivity and reliability as domestic emission factors.

A Study on the Comparison of Emission Factor Method and CEMS (Continuous Emission Monitoring System)

Generally, air pollutant emission at workplace is estimated by two methods: indirect methods using emission factors and direct methods based on CEMS (Continuous Emission Monitoring System). CAPSS (Clean Air Policy Support System) is a representative indirect method and the national air pollutant database of Korea. However, characteristics of some workplaces may create a gap between CAPSS and CEMS data. For improving of emission data accuracy, emission data of CEMS (named CleanSYS) equipped at 138 target workplaces were compared with those of CAPSS. As a result, and emission levels obtained by CAPSS were lower than those of CleanSYS. and emission ratios were 61.5% and 71.2% lower respectively, showing the biggest gaps. On the other hand, emission of CAPSS was higher by 10.4%. showed the biggest difference in `Energy industry combustion` and did in `Production Process` within the SCC category. presented a large gap in `Manufacturing industry combustion.` The differences in between the two systems occurred because some large-size facilities lack pollution controllers or efficient pollution controllers. Based on this study, CAPSS emission database of Korea will improve accuracy through adopting CEMS emission system, which enables more efficient national atmospheric policies and workplace management.

SRF Combustion Pollutants’ Impact on Domestic Emissions Assessments

Recently, yearly production of SRF (Solid Recovered Fuel) as an alternative fuel has been rapidly increasing because of the limited waste disposal, rise in oil prices and reduction of greenhouse gas emission. However, SRF using facilities are excluded from the National Air Pollutant Emission Estimation because SRF using facilities are not yet included among the SCC (Source Classification Code). The purpose of this research was to estimate the emission and emission factor of SRF using facilities` PM and , in order to investigate whether or not they are included in the National Air Pollutant Emission Estimation. The emission factors of SRF using facilities` PM and are calculated as 0.216 kg/ton, and 3.970 kg/ton, and the emission was estimated based on the yearly total SRF usage of 2011. The results above was 18.7% for PM and 12.8% for emissions from combustion facility (SCC2) in manufacturing industry combustion (SCC1) of CAPSS. If CAPSS estimate the emission by adding SCC on unlisted SRF in case of Boiler (SCC3) fuel, both PM and `s emissions would increase by 15.8% and 11.3% compare to the emissions for the existing combustion facility. As a result, emissions caused by SRF should be considered when calculating the National Air Pollutant Emission Estimation. In addition, further researches to develop emission factor and improve subdivided SCC should be done in the future, for the accurate and reliable estimation of National Emission.

A Study on the Comparison of Measuring Methods and Development of Emssion Factor on Mercury from Large-Scale Emission Sources

Abstract Recently, studies on reducing mercury have been actively conducted worldwide, which include the current status of mercury emissions and mercury control technology. Among the control technology, Sorbent Trap measurement method has been aggressively developed due to its reliability, easiness in measurement and analysis.The purpose of this study is to evaluate the applicability of the new international measurement method; Sorbent Trap. For this, the study compared the Sorbent trap method (US EPA Method 30B) and the Korean Standard Method for Examination of Air(ES 01408.1) to evaluate their reliability, and developed mercury emission factors.As the result, the relative standard deviations(% RSD) of the two methods were 3.5~13.4% at Coal-fired Power Plants(CPP), 4.0~18.4% at Cement Kilns(CK), and 3.0~11.3% at Medical Waste Incinerators(MWI). The emis-sions factors were developed as 14.50kg/ton at CPP, 45.10kg/ton at CK, and 1,290.2kg/ton at MWI. Key words : Mercury measurement, Sorbent trap, % RSD, Emission factor

A Study on the Development of the Mercury Emission Factor from Coal-fired Power Plant

Mercury is one of the most hazardous air pollutants. Recently, mercury has been a concern in domestic and overseas because it has lethal toxicity, long distance transport, persistence and bioaccumulation in the environment. Stationary combustion sources such as coal-fired power plants, waste incinerators, and cement kilns are the major sources of mercury emissions. The objectives of this study were to measure the concentration for mercury from coal-fired power plants and to calculate emission factor to estimate its emission. The results showed that the mercury concentrations in the flue gas were 1.63-3.03 mg/ in anthracite-fired power plants (average 2.32 mg/) and 1.95-3.33 mg/ in bituminous-fired power plants (average 2.6 mg/). Mercury emission factor was estimated as 25.74 mg/ton for anthracite-fired power plants and 12.48 mg/ton for bituminous-fired power plants. Because actual measurements are limited in quantity, it is desirable to refine our estimates by extending the actual measurements.

Development of CAPSS2SMOKE Program for Standardized Input Data of SMOKE Model

The Community Multiscale Air Quality (CMAQ) model is capable of providing high quality atmospheric chemistry profiles through the utilization of high-resolution meteorology and emissions data. However, it cannot simulate air quality accurately if input data are not appropriate and reliable. One of the most important inputs required by CMAQ is the air pollutants emissions, which determines air pollutants concentrations during the simulation. For the CMAQ simulation of Korean peninsula, we, in general, use the Korean National Emission Inventory data which are estimated by Clean Air Policy Support System (CAPSS). However, since they are not provided by model-ready emission data, we should convert CAPSS emissions into model-ready data. The SMOKE is the emission model we used in this study to generate CMAQ-ready emissions. Because processing the emissions data is very monotonous and tedious work, we have developed CAPSS2SMOKE program to convert CAPSS emissions into SMOKE-ready data with ease and effective. CAPSS2SMOKE program consists of many codes and routines such as source classification code, to ratio code, map projection conversion routine, spatial allocation routine, and so on. To verify the CAPSS2SMOKE program, we have run SMOKE using the CAPSS 2009 emissions and found that the SMOKE results inherits CAPSS emissions quite well.