Description of Sensitivity Analysis for SO, A coal power plant was proposed for the southern Part of Puerto Rico in the early 200s. Given the proximity of the plant to downwind, west, communities (between 3-20km), an environmental impact assessment was necessary, particularly for SO2. A worst case sensitivity analysis was suggested that considered increases in production of SO2 and variability in weather patterns. Stack parameters are given below. Table 1: Stack Parameters for SO2 Simulation Parameter Stack Height (m) Equivalent Stack Diameter (m) Exit Gas Temperature (K) Exit Velocities (m/s) Value 135.00 6.90 350.0 17 13, 34.3, 51.4, 172.0 7.0, 14.0 21.0, 70.0 Mass Flow Rate of SO2 (g/s) The base exit mass flow rate of SO2 was obtained from the maximum power production of 4,922.7 MMBtu/hour using a coal with Nigh heating value of 10,000 Btu/bm and a 1% maximum Sulfur content. A technology capable or removing 98% of this Sulfur was also assumed to be installed in the boilers. This base value resulted in a mass flow rate of SO2 approximately equal to 14.0 g/s. Two worst case scenarios were considered: weather variability and variations in the effectiveness of the technology used to remove SO2. Weather Worst Case The worst-case weather pattern considered was based on a one-day prediction using data as shown in Table 2. This weather scenario was first proposed by plant owners under their PSD (Prevention of Significance Damage) permit and it included strong winds in one direction and various atmospheric stability conditions. This scenario is highly possible in Puerto Rico due to the well defined easterly wind trends, Table 2: Assumed Worst Case Weather Data Year Mont Date Hour WD WS Temp Stabi. MH MH h ((m/s) (K) (m) (m) 95 1 1 1 360 1 293 1 5000 5000 95 1 1 2 360 3 293 1 5000 5000 95 1 1 31 360 1 293 2 5000 5000 95 1 1 4 360 3 293 2 5000 5000 951 1 1 5 360 5 293 2 5000 5000 95 1 1 6 360 1 293 3 5000 5000 95 1 1 7) 360 3 293 3 5000 5000 95 1 1 8 360 5 293 3 5000 5000 95 1 1 9 360 10 293 3 5000 5000 95 1 1 10 360 1 293 4 5000 5000 95 1 1 111 360 3 293 45000 5000 95 1 1 N2 360 5 293 4 5000 5000 95 1 1 13 360 10 293 45000 5000 95 1 1 14 360 15 293 45000 5000 95 1 1 15| 360 1 293 55000 5000 95 1 16 360 3 293 55000 5000 95 1 1 17) 360 5 5 5000 5000 95 1 1 18 360 1 293 6 5000 5000 95 1 19 360 3 293 65000 5000 95 1 1 20 360 5 293 65000 5000 95 1 21 360 3 293 4 5000 5000 95 1 22 360 5 293 4 5000 5000 95 1 1 23 360 10 293 45000 5000 95 1 1 24 360 151 293 4 5000 5000 1 293 1 1 1 . Formulate an air quality dispersion modeling strategy that considers this worst-case analysis, consider a minimum of three cases; o o Produce plots of hourly concentrations at receptors for selected wind speeds, and stability classes characteristics of the region for each worst case scenario considered. (20 pts) Comparere with the NAAQS and clear comments based on compliance with PSD. (10 pts) Make specific comments on the extent, or limitations of your analysis in the context of the real case scenario. (5 pts)
