10th International Aerosol Conference September 2 - September 7, 2018 America's Center Convention Complex St. Louis, Missouri, USA
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Submicron Ash Formation in Advanced Pressurized Combustion System
DISHANT KHATRI, Zhiwei Wang, Akshay Gopan, Adewale Adeosun, Richard Axelbaum, Washington University in St. Louis
Abstract Number: 1669 Working Group: Combustion-Generated Aerosols: the Desirable and Undesirable
Abstract The novel Staged Pressurized Oxy-Combustion (SPOC) process, can reduce the efficiency penalty for carbon capture in coal-fired power plants by over half. The SPOC process incorporates a unique boiler configuration to enable combustion of pulverized coal at elevated pressure (15 bar) with low flue gas recycle. Although a promising technology for power generation, the impact on pollutants, such as the particulate matter (ash) has not yet been established. Therefore, in this work, the formation and evolution of sub-micron particles will be evaluated in a newly constructed 100-kWth pressurized oxy-combustor. The particle size distribution (PSD) of the sub-micron particles, and their morphology and composition will be measured using SMPS and SEM/EDX, respectively. Measurements will be carried out to study parametrically the factors which can affect submicron formation at the high pressure and high-temperature conditions. Parameters that can affect ash formation includes pressure, gas composition, and residence time. First, the effect of oxygen concentration (gas composition) at distance of 10 inches from burner tip, and 15 bar pressure will be studied to separate the effects of gas composition from those of residence time and pressure. To observe the effect of pressure, the pressure will be varied from 3 to 15 bar for a 30% oxygen concentration and at a distance of 10 inches from burner tip. Finally, to observe the effect of residence time, the particles will be sampled at 4 different axial locations keeping gas input composition at 30% oxygen molar concentration and a pressure of 15 bar. The experimental data, along with analytical models will help to understand the observed trends during these studies.