Sang-Jin Choi

Estimation of Gaseous Hazardous Air Pollutants Emission from Vehicles

Hazardous Air Pollutants (HAPs) are difficult to measure, analyze and assess for risk because of low ambient concentrations and varieties. Types of HAPs are Volatile organic compounds (VOCs), Polycyclic aromatic hydrocarbon (PAHs) and Aldehydes. HAP emissions from vehicles are a contributor to serious adverse health effects in urban areas. In this study, hazardous air pollutant emissions from road transport vehicles by Non-methane volatile organic compounds (NMVOC) weight fraction and PAHs emission factors are estimated in 2008. The top-five-most hazardous air pollutant emissions were estimated to toluene 864.3 ton/yr, acrolein 690.6 ton/yr, acetaldehyde 554.5 ton/yr, formaldehyde 498.7 ton/yr, propionaldehyde 421.6 ton/yr in 2008. The results for a cancer and non-cancer risk assessment of HAPs emissions show that the major cancer driver is formaldehyde and the non-cancer driver is acrolein.

A Field Survey on the Characteristics of Air Pollutants Emission from Commercial Charcoal Kiln

The commercial charcoal kiln was projected the largest source of biomass burning sector in Korea. Commercial charcoal kiln was operated to emit air pollutants into the air without any air pollution prevention equipment. The object of this field survey was to understand characteristics of air pollutants concentration and emission factors and to provide preliminary data for effective processor from oak charcoal manufacturing process. As result of field survey, TSP, and concentration from charcoal kiln were 400~37,000 . These values were over the 100 in TSP, this value was effluent quality standard of Clean Air Conservation Act. The average concentration of CO, and TVOC were 2~5%. 0~110 ppm and 820~10,000 ppm respectively. The emission factors were 42.4 g-PM/kg-oak in TSP, 40.3 g-PM/kg-oak in , 38.2 g-PM/kg-oak in , 182.5 g-CO/kg-oak, 1.0 g-NO/kg-oak, 0.2 g--oak and 104.4 g-TVOC/kg-oak. The part of commercial charcoal kiln had air pollution prevention equipment but it was difficult to work properly. Much wood tar excreted in exhaust emissions from oak charcoal manufacturing process. This wood tar was cause of many troubles sticking in the air pollutant prevention equipment. For handling particulate matters and gaseous air pollutants from oak charcoal manufacturing process in biomass burning, air pollutant prevention equipment design and management needs preprocessor for removal wood tar.

A Study on the Development of Particulate Matters Emission Factors from Biomass Burning: Mainly Commercial Meat Cooking

In this study, PM emission factors for commercial meat cooking were developed by the experiment using the similar restaurant model. The commercial material types of meat cooking were beef, pork and duck. And meat cooking materials were classified with marinated and raw cooking methods. The marinated and raw cooking methods were flat griddle (LPG) and under fired charbroiling grill. As a results, emission factors for underfired pork cooking was estimated as 7.39 g/kg-meat which was the highest value in this study. The emission factors of under fired charbroiling grill method were higher than that of flat griddle method regardless of meat cooking material types and marinated meat. The particle size distribution of meat cooking was 0.23~5 and median diameter was 2~2.5 .

Removal of Air Pollutants from Charcoal Production Process Exhaust

Exhaust gas containing wood tar of high concentration is discharged from charcoal production kilns. The large amount of emissions are often found by operational failure. The purpose of this study is to investigate the performance of an integrated treatment system in treating charcoal production exhaust. The system, which combined a tar collection device and a post-combustion unit, was proposed to remove moisture, wood tar, particulate matter, and other gas-phase pollutants (CO, , total hydrogen carbons) from exhaust gases. Heat recovery units were also applied in the system to utilize waste heat.

A Study on the Estimation of Vehicle Driving Pattern and Cold Emission Length by using on-board Telematics Devices

In this study, the telematics device was installed on the car (OBD-II) to collect the information on the operation conditions from each sample vehicle. Based on the information the domestic driving pattern was analysed and the ratio of cold start length was estimated. As a result of analysis for driving pattern, we found a difference in the frequency of driving on the hourly or seasonal basis. Then, the driving pattern of the rush hours, weekdays, and weekends could be derived. Also, from the study, an average of 2.22 times per day occurred in a single trip and average driving distance for the trip was 15.72 km. In addition, the proportion of cold start length was analyzed to be 16.11%. The seasonal cold start length has big difference from season to season(Winter 26.63%, Summer 8.22%, Intermediate 12.65%). There was an inverse relationship between the outside temperature and ratio of cold start length. In order to improve the accuracy of the cold emission estimation, it is necessary to apply domestic ratio of cold start length that driving pattern and temperature in Korea is reflected.