1 / 22

POWER PLANT EMISSIONS IN COLOMBO AS A TOOL FOR URBAN PLANNING

POWER PLANT EMISSIONS IN COLOMBO AS A TOOL FOR URBAN PLANNING. K. G. T. DHARSHANA. Introduction. Current state of air pollution in Colombo. Trends of air pollution in Colombo. Link : Variation patterns of average concentrations at Fort. Monitoring of air pollution.

halia
Download Presentation

POWER PLANT EMISSIONS IN COLOMBO AS A TOOL FOR URBAN PLANNING

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. POWER PLANT EMISSIONS IN COLOMBO AS A TOOL FOR URBAN PLANNING K. G. T. DHARSHANA

  2. Introduction • Current state of air pollution in Colombo. • Trends of air pollution in Colombo.Link : Variation patterns of average concentrations at Fort. • Monitoring of air pollution. Link : 16 monitoring locations of NBRO.

  3. Objectives • Application of modeling as a tool for urban planning. • As a case study, to study the contribution from power plants to Colombo air pollution. • Compare the outcomes of dispersion model “AUSPLUME” over the “US EPA SCREEN 3”.

  4. Achievements • Establish a complex air dispersion model AUSPLUME for the prediction of point source emissions to general air pollution. • Evaluation of the power sector contribution to the Colombo air pollution.

  5. Methodology • Input data – Meteorology. • Input data – Source Characteristics. • Application of “AUSPLUME” model. • Application of “US EPA SCREEN 3” model. • Analyzing of automated monitoring dataat NBRO.

  6. Methodology Contd… Input data - Meteorology • Selecting the Northeast monsoon periods of 97/98 and 98/99. Link : Contribution from thermal power plants. • Interested parameters. • Development of “Colombo Met”.

  7. Methodology Contd… Input data – Source Characteristics Source: NBRO prepared power sector emission inventory and EIA reports of Thermal Power Plants.

  8. Application of AUSPLUME model Methodology Contd… • Combined stack emissions. • Default options. • Using “SURFER” as a supporting software.

  9. Methodology Contd… Application of SCREEN 3 model • Different stability categories. • All meteorology option for the worst case scenario.

  10. Methodology contd… General limitations of Gaussian plume models • Not considering wind stratification. • Assuming normal distribution patterns of pollution concentrations. • Assuming no chemical transformation of pollutants. • Assume constant and continuous stack emissions. • Assumption of relatively flat terrain.

  11. Analyzing of automated monitoring data at NBRO Methodology Contd… • Selection of Northeast and Southwestmonsoon periods in 1998 and 2000. • Consideration of 9.00 pm to 12.00 midnight to identify the power sectorcontribution.

  12. Results Variation of 1-hour SO2 concentration with the wind speed of 1 m/s

  13. Results contd… Contributions from major thermal power plants to three city centers in Colombo All values are in µg/m3 and obtained using the AUSPLUME air dispersion model.

  14. Results Contd… DISTRIBUTION PATTERNS OF NOX ARROUND AES 1 0 0 0 m 0 m 250 200 - 1 0 0 0 m 150 100 - 2 0 0 0 m 50 FORT 37.5 MARADANA - 3 0 0 0 m 31.25 28.125 - 4 0 0 0 m 25 0 - 5 0 0 0 m MET DEPT - 6 0 0 0 m -5000m -4000m -3000m -2000m -1000m 0m 1000m 2000m Conc. (microgram/m3); 1 hour avg. Scale X :- 1 inch = 1233.33 map units Y :- 1 inch = 1233.33 map units

  15. Results Contd… Variation patterns of 1- hour SO2 concentration in Puttalum.

  16. Results Contd… Comparison of AUSPLUME and SCREEN 3 model outputs

  17. Results Contd… Diurnal variation of NO and NO2 at Fort during December 2000. Link :Diurnal variation of NO and NO2 at Fort during December 1998.

  18. Conclusions • Power plants contribution to Fort, Maradana and Met. Dept. sites during the NE of year 2000 were 34%, 52% and 54% w.r.t. NOX as NO2 and 3%, 4% and 6% w.r.t. SO2. • Recently started AES power plant in Kelanitissa would contribute to Fort, Maradana and Met. Dept. sites during the NE period nearly by 30, 37 and 26 µg m-3 w.r.t NOX as NO2 and nearly by 3, 4 and 3 µg m-3 w.r.t. SO2.

  19. Conclusions Contd… • “AUSPLUME” model can be recommended for air pollution regulatory purposes in Sri Lanka over the currently use “US EPA SCREEN 3” model. • It is possible to accommodate two existing 20 MW each furnace oil fired steam turbines in Kelanitissa in standby condition during SW periods in order to meet peak electricity demand.

  20. Future developments • Institutionalize the activity • Need a multidisciplinary approach. • Develop a good data base.

  21. Special Thanks • Mr. R. P. Samarakkody • Dr. K. P. S. C. Jayaratne • Dr. Priyaratne Dewundege • Dr. Senaka Basnayake

  22. THANK YOU!

More Related