THERMAL SCIENCE

International Scientific Journal

AIR QUALITY MONITORING AND MODELING NEAR COAL FIRED POWER PLANT

ABSTRACT
In municipality of Ugljevik (Bosnia and Herzegovina), the coal-fired thermal power plant (TPP) is located in the vicinity of the populated area. The ambient air quality monitoring within this area were not systematically performed in the previous period. This research was the first to include indicative measurement of pollutant concentration in air combined with modeling techniques for the purpose of a preliminary assessment of impact which the power plant has on air quality. Since coal, with the sulfur content of 3-6%, is used, as well as the fact that there was no flue gas desulphurization (FGD) during the research period, this paper shows the results for sulfur dioxide as one of the most prominent indicators of pollution originating from the power plant. As a complement to the measurements, modeling of sulfur dioxide dispersion was carried out using ADMS5 software. The measurements indicated increased ground-level concentrations of sulfur dioxide. Additionally, the modeling of sulfur dioxide dispersion with real meteorological data was carried out. The modeling confirmed high sulfur dioxide concentrations in research area. Also, it was found that the high episodic ground-level SO2 concentrations are the consequence of the terrain configuration and meteorological conditions.
KEYWORDS
PAPER SUBMITTED: 2019-06-11
PAPER REVISED: 2019-08-01
PAPER ACCEPTED: 2019-09-05
PUBLISHED ONLINE: 2019-10-06
DOI REFERENCE: https://doi.org/10.2298/TSCI190611385V
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2019, VOLUME 23, ISSUE Issue 6, PAGES [4055 - 4065]
REFERENCES
  1. Goudarzi G., et al., Health risk assessment of exposure to the Middle Eastern Dust storms in the Iranian megacity of Kermanshah. Public Health. 148, (2017),109-116. dx.doi.org/10.1016/j.puhe.2017.03.009.
  2. Khaniabadi Y.O et al., Modelling of particulate matter dispersion from a cement plant: Upwinddownwind case study. Journal of Environmental Chemical Engineering. 6, (2018), 3104-3110. doi.org/10.1016/j.jece.2018.04.022.
  3. Dios M., et al., Experimental development of CO2, SO2 and NOx emission factors for mixed lignite and subbituminous coal-fired power plant. Energy. 53, (2013), 40-51. DOI: 10.1016/j.energy.2013.02.043.
  4. Darmastuti Z., et al., SiC-FET based SO2 sensor for power plant emission applications. Sensors and Actuators, B: Chemical, 194, (2014), 511-520. DOI: 10.1016/j.snb.2013.11.089.
  5. Wang L., Predicted impact of thermal power generation emission control measures in the Beijing-Tianjin-Hebei region on air pollution over Beijing, China. Scientific Reports. 8, (2018), 934. doi.org/10.1038/s41598-018-19481-0.
  6. Rathnayake M., et al., Utilization of coal fly ash and bottom ash as solid sorbents for sulfur dioxide reduction from coal fired power plant: Life cycle assessment and applications. Journal of Cleaner Production. 202, (2018), 934-945. DOI: 10.1016/j.jclepro.2018.08.204.
  7. Ramadan A.A., et al., Total SO2 emissions from Power Stations and Evaluation of their Impact in Kuwait Using a Gaussian Plume Dispersion Model. American Journal of Environmental Sciences, 4, (2008), 1-12. DOI: 10.3844/ajessp.2008.1.12.
  8. Zhao W. C., et al., Levels, seasonal variations, and health risks assessment of ambient air pollutants in the residential areas. International Journal of Environmental Science and Technology, 10, (2013), 487-494. doi.org/10.1007/s13762-013-0178-3.
  9. Amster E.D., et al., Contribution of nitrogen oxide and sulfur dioxide exposure from power plant emissions on respiratory symptom and disease prevalence. Environmental Pollution, 186, (2014), 20-28. doi.org/10.1016/j.envpol.2013.10.032.
  10. European Environment Agency, Air quality in Europe. Sulphur dioxide (SO2) emissions. Indicator Assessment, 2015, ISSN 1977-8449. DOI:10.2800/62459.
  11. Stojanović B., and Đukić S., Prioritetne obaveze termoelektrana u narednih nekoliko godina sa posebnim osvrtom na termo elektranu Ugljevik (Priorities for LCPs in next few years, with the focus on LCP in Ugljevik), Proceedings of International Conference "Power Plants 2014", Zlatibor, Serbia, 2014, (e2014.drustvo-termicara.com/papers/download/76.) (in Serbian language).
  12. Arsenović B., et al., Ispitivanje kvaliteta vazduha na području grada Bijeljina (Air Quality Assessmnet in Bijeljina), Proceedeings of International Scientific Conference, Bijeljina. (2015), pp. 126-130 ( dx.doi.org/10.7251/ZRSNG1501126A) (in Serbian language).
  13. Environmental impact assessment of surface coal mine „Ugljevik - East 1 "Institute for construction Banja Luka, 2016. doi.org/10.1016/j.apr.2017.06.001.
  14. Holland M., Technical Report - Health Impacts of Coal Fired Power Stations in the Western Balkans, (2016), env-health.org/IMG/pdf/technical_report_balkans_coal_en_lr.pdf , (accessed 10 May 2018).
  15. Directive 2008/50/EC of The European Parliament and of The Council of 21 May 2008 on ambient air quality and cleaner air for Europe. Official Journal of the European Union. L 152, 1-44.
  16. Yassin M.F., and Al-Awadhi M.M., Impact of Sulphur Dioxide Emissions of Power Stations on Ambient Air Quality. Environmental Engineering Science, 28, (2011), 469-475. DOI: 10.1089/ees.2010.0061.
  17. Gibson M.D., et al., Dispersion model evaluation of PM2.5, NOX and SO2 from point and major line sources in Nova Scotia, Canada using AERMOD Gaussian plume air dispersion model, Atmospheric Pollution Research, 4, (2013), 157-167. DOI: 10.5094/APR.2013.016.
  18. LeelőssyÁ.,et al., Dispersion modelling of air pollutants in the atmosphere: a review. Central European Journal of Geosciences, 6, (2014), 257-278. DOI: 10.2478/s13533-012-0188-6.
  19. Kalhor M., and Bajoghli M., Comparison of AERMOD, ADMS and ISC3 for incomplete upper air meteorological data (case study: Steel plant). Atmospheric Pollution Research, 8, (2017), 1203-1208.
  20. Righi S., et al., Statistical and diagnostic evaluation of the ADMS-Urban model compared with an urban air quality monitoring network. Atmospheric Environment, 43, (2009), 3850-3857. DOI: 10.1016/j.atmosenv.2009.05.016.
  21. Douglas P., et al., Sensitivity of predicted bioaerosol exposure from open windrow composting facilities to ADMS dispersion model parameters. Journal of Environmental Management, 184, (2016), 448-455. DOI: 10.1016/j.jenvman.2016.10.003.
  22. Hao Y., and Xie S., Optimal redistribution of an urban air quality monitoring network using atmospheric dispersion model and genetic algorithm, Atmospheric Environment, 177 (2018) 222-233
  23. Deligiorgi D., et al., Estimation of pollution dispersion patterns of a power plant plume in complex terrain. Global NEST Journal, 15, (2013), 227-240.
  24. Matthaios V.N., et al., Interactions between complicated flow-dispersion patterns and boundary layer evolution in a mountainous complex terrain during elevated SO2 concentrations, Meteorol Atmos Phys., 129, (2017), 425-439. DOI: 10.1007/s00703-016-0480-y.
  25. Shu L., et al., Regional severe particle pollution and its association with synoptic weather patterns in the Yangtze River Delta region, China. Atmospheric Chemistry and Physics, 17, (2017), 12871-12891. DOI 10.5194/acp-17-12871-2017.
  26. Zou B., et al., Performance of AERMOD at different time scales, Simulation Modelling Practice and Theory, 18 (2010) 612-623
  27. RITE Ugljevik, riteugljevik.com(accessed 13.12,2018.).
  28. De Hoogh K., et al., Comparing land use regression and dispersion modelling to assess residential exposure to ambient air pollution for epidemiological studies. Environment International, 73, (2014), 382-392. doi.org/10.1016/j.envint.2014.08.011.
  29. Mahboob A., and Makshoof A., Dispersion modeling of noxious pollutants from thermal power plants. Turkish J. Eng. Env. Sci., 34 (2010), 105 - 120. c T¨UB˙ITAK doi:10.3906/muh-0910-65
  30. Milosavljevic, B. Lj., et al., Measurements and Modeling Pollution from Traffic, Thermal Scince: Vol. 19, No. 6, (2015), pp. 2093-2104
  31. CERC 2012- Cambridge Environmental Research Consultants-ADMS 5 User Guide
  32. Josipović M., et al., Comparisons of Meso-Scale Air Pollution Dispersion Modelling of SO2, NO2 and O3 Using Regional-Scale Monitoring Results. Clean AirJournal,18, (2010), 3-8.
  33. Mohtar A.A.A., et al., Variation of major air pollutants in different seasonal conditions in an urban environment in Malaysia. Geoscience Letters Official Journal of the Asia Oceania Geosciences Society (AOGS), 5, (2010),21. doi.org/10.1186/s40562-018-0122-y.
  34. Valverde V., et al., A model-based analysis of SO2 and NO2 dynamics from coal-fired power plants under representative synoptic circulation types over the Iberian Peninsula. Science of the Total Environment, 541, (2016), 701-713. dx.doi.org/10.1016/j.scitotenv.2015.09.111.
  35. Ichikawa Y., and Sada K., An Atmospheric Dispersion Model for the Environmental Impact Assessment of Thermal Power Plants in Japan—A Method for Evaluating Topographical Effects. Journal of the Air & Waste Management Association, 52, (2002), 313-323. DOI: 10.1080/10473289.2002.10470780.
  36. Sagan V., et al., SO2 trajectories in a complex terrain environment using CALPUFF dispersion model, OMI and MODIS data, International Journal of Applied Earth Observation and Geoinformation, 69 (2018) 99-109.

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence