The emission of odor, characterized by the combustion conditions and biomass types resulting from the use of a biomass incinerator, was analyzed. The following biomass types were considered: bark, board waste, sawdust, wood flour, wood fiver, wastewater sludge, and timber wastewater. As a study method, the physico-chemical characteristics of each biomass type were analyzed to predict the potential substances that might be emited under incomplete combustion conditions. And, the emission components of odor emission by biomass were analyzed at the laboratory level using a combustion device. In addition, the characteristics of the contaminant (odor) emission per mixture ratio of biomass were analyzed in a stoker incinerator that is in operation in an actual establishment at a scale of 300 ton/day. In the biomass emission experiment using the combustion device at the laboratory level, the major substances such as Acetic acid, Styrene, Toluene, Benzene, Dichloromethane, etc. were analyzed, and these components were determined to increase odor index. VOCs measurement in the outlet of the stoker incinerator indicated that Acetaldehyde, Ethanol, Acetonitrile, Ethyl acetate, Toluene, etc. were detected as the major substances. These were similar to the emission substances presented by the experiment that had investigated emissions by biomass type. A study on the Effect of Operational Conditions in biomass stocker incinerator on the concentration of odorous materials emitted from stack showed a close relationship between the input by biomass type and urea, temperature in the incinerator, and the tendency to emit/produce odor.

This paper presents the performance of a CFD model for the near field dispersion of odor from rooftop emissions. The FLUENT Shear-Stress Transport (SST hereinafter) k-ω turbulence model was used to simulate odor dispersion from a rooftop odor vent. The results were compared with a wind tunnel experiment and the calculated results of ASHRAE 2003 and 2007. The FLUENT SST k-ω turbulence model provided good results for making reasonable predictions about the building rooftop surface normalized dilution. It was found that increasing the vent height (from 1 m to 7 m) reduces rooftop surface normalized dilution. ASHRAE 2003 and ASHRAE 2007 performance measures are generally not as good as FLUENT SST k-ω turbulence model performance measures, with larger MG (the geometric mean bias, VG (the geometric variance), NMSE (the normalized mean square error), FB (Fractional bias), and smaller FAC2 (the fraction of predictions within a factor of two of observations).

In this study, field experiment, odor simulator, and dispersion modeling were used to evaluate the odor impact from J sewage sludge treatment facility. The height and flow rate of exhaust stack at this facility were 22.3 m and 100 Nm3/min. The mean odor concentrations of the wet scrubber inlet and exhaust stack were 267±160 and 93±44 OU/m3, respectively. The odor removal efficiency of wet scrubber showed 65%. The odor simulator is used for the regulated standard calculation of the exhaust pipe(stack). Resulting odor emission rate(OER) by odor simulator was 2.4×106(24,000 OU/m3). The forecasting result by Screen3 modeling showed that odor exhaust concentration up to 30,000 OU/m3 was’t exceeded maximum allowable emission level on site boundary(15 OU/m3).