An evaluation of CO, CO2, and SO2 emissions during continuous and non-continuous operation in a gas refinery using the AERMOD.

Air quality modeling can be considered as a useful tool to predict air quality in the future and determine the control strategies of emissions abatement. In this study, the AERMOD dispersion model has been applied as a tool for the analysis of the values of pollutant emissions from the flares of the Maroon gas refinery located in the suburb of Ahvaz, Iran. First, the values of pollutant emissions from the refinery's flares were investigated by measurement and using the emission factors during cold and warm seasons of 2018. The gas burns continuously in two flares and the other 11 flares are used in emergency situations and only their spark plugs are lit. The type of compounds and their molar, volumetric, and weight percentages were determined by gas chromatography (GC) injection. By entering data such as emission rate, flare characteristics, and topographic and meteorological data of the study area into the AERMOD model, dispersion of pollutants was predicted by using the AERMOD model in the region with an area of 2500 km2. The statistical evaluation showed that the maximum 8-h concentration of CO in the cold season was 133441 µg/m3 which was higher than the standard and reached 9755 µg/m3 in the warm season that was close to the standard. The maximum hourly concentration of SO2 was in the cold season with 215 µg/m3 that was higher than the standard value, occurred in a local scale of 50 km2. This can be attributed to the high concentration of SO2 wet deposition. According to the direction of the wind from the northwest, pollutant emissions can lead to adverse health effects on the population of refinery employees, residents around the refinery, and occupants of passing vehicles. The concentration of pollutants generated due to the high volume of heavier compounds in the gas in the winter season was higher than that of the warm season. Comparison of maximum concentrations of the predicted results with the national and international standards showed that SO2 and CO concentration is higher than standard values. In total, according to the evaluation of the predictions made, the performance of the AERMOD model was acceptable in the prediction of pollutant concentrations in the study area.

Effect of extrinsic and intrinsic parameters on inulinase production by Aspergillus niger ATCC 20611

Background: Inulinase is a versatile enzyme from glycoside hydrolase family which targets the beta-2, 1 linkage of fructopolymers. In the present study, the effect of medium composition and culture conditions on inulinase production by Aspergillus niger ATCC 20611 was investigated in shake-flasks. Results: The highest extracellular inulinase (3199 U/ ml) was obtained in the presence of 25 percent (w/v) sucrose, 0.5 percent (w/v) meat extract, 1.5 percent (w/v) NaNO3 and 2.5 mM (v/v) Zn2+, at initial pH of 6.5, temperature 35ºC and 6 percent (v/v) of spores suspension in the agitation speed of 100 rpm. Surfactants showed an inhibitory effect on enzyme production. The optimum temperature for inulinase activity was found to be 50ºC. TLC analysis showed the presence of both exo- and endo-inulinase. Conclusion: Sucrose, Zn2+, and aeration were found to be the most effective elements in inulinase production by A. niger ATCC 20611. TLC analysis also showed that the crude enzyme contained both endo and exo-inulinases. The strain is suggested as a potential candidate for industrial enzymatic production of fructose from inulin.