Modeling for Estimation of the Damage Posed by SO2 Emitted from Power Plants on Qazvin Urban Structures (Case Study: Shahid Rajaee Power Plant)

Subject Areas : Environmental pollutions (water, soil and air)

Elham Mojaver ¹ , Faramarz Moattar ² , Soheil Sobhanardakani ³ , Seyed Ali Jozi ⁴ , Seyed Masud Monavari ⁵

1 - Ph.D. student in Environmental Assessment & Land use Planning, College of natural resources and environment, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Ph.D. in Nuclear chemistry, professor, Department of the Environment, College of natural resources and environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
3 - Ph.D. in Environmental Science, Associate Professor, Department of the Environment, College of Basic Sciences, Hamedan Branch, Islamic Azad University, Hamedan, Iran
4 - Ph.D. in Environmental Assessment & Land use Planning, professor, Department of the Environment, College of Marine Science and Technology, North Tehran Branch, Islamic Azad University, Tehran, Iran
5 - Ph.D. in Environmental Science, Associate Professor, Department of the Environment , College of natural resources and environment, Science and Research Branch, Islamic Azad University, Tehran, Iran

Received: 2022-02-15 Accepted : 2022-07-05 Published : 2021-12-22

Keywords: Combined cycle power plant, SO2, Damage analysis, Building Facade, External cost,

Abstract :

Background and Objective: In this study, a model for measuring the effects and the physical-economic consequences of air pollutants emitted from Power Plants on urban buildings facades was developed. For the case study, the effect of SO2 pollutant emitted from Rajaee Combined-cycle Power Plant on Qazvin’s buildings’ facades was studied.Methods and materials: To develop this model, the Gaussian plume method was used to estimate the air pollution dispersion and impact pathway assessment (IPA) to calculate the air pollutant external costs. The damage costs of SO2 due to the corrosion of building materials, soiling, and consequently an increase in cleaning expenses of each square meter of urban buildings’ facades were localized. After the validation of the output results of the developed model, the external costs based on the wind speed and different atmospheric stability classification were estimated. Different atmospheric stability classes were examined using the Pasquil-Gifford (P-G) classification.Findings: Based on the facade’s material, the highest external costs were related to the white cement with 36575 dollars (849 million Rials). For the thatch façade, which is the local material of the region, the external cost was estimated to be 5376 dollars (1247 million Rials).Based on the wind speed, the highest external cost was obtained for the wind 1m/s with 139026 dollars (3254 million Rials) and the lowest cost was 352 dollars (82 million Rials) for the wind speed of 20 m/s.For the atmospheric stability classification, the lowest external cost in extremely unstable class (A) and the highest external cost in neutral class (D) have been measured. The external cost due to the SO2 pollutants for the city of Qazvin was 0.009 dollars (2162 Rials) For each megawatt-hour generated electricity.Conclusion: The results showed that the materials compatible with the local region can have lower external costs compared with the new materials used in the buildings.Keywords: damage analysis, SO2, combined cycle power plant, external cost, building facade

References:

• 1- Hainoun A, Almoustafa A, Seif Aldin M. Estimating the health damage costs of syrian electricity generation system using impact pathway approach. Energy [Internet]. 2010;35(2):628–38. Available from: http://dx.doi.org/10.1016/j.energy.2009.10.034


• 2- Fouladi Fard R, Naddafi K, Yunesian M, Nabizadeh Nodehi R, Dehghani MH, Hassanvand MS. The assessment of health impacts and external costs of natural gas-fired power plant of Qom. Vol. 23, Environmental Science and Pollution Research. 2016. p. 20922–36.


• 3- Spadaro JSpadaro J V. Airpacts EQUATIONS FOR IMPACT AND DAMAGE COST ASSESSMENTS.


• 4- Spadaro J V. Damage Costs of Airborne Pollution : 2002;(October).


• 5- Reed WR. Significant Dust Dispersion Models for Mining Operations. IC 9478 DHHS Publ No 2005-138 [Internet]. 2005;29. Available from: https://stacks.cdc.gov/view/cdc/6833


• 6- Spadaro J V. Airpacts manual. 2002;(April).


• 7- Zannetti P. Air pollution modeling: theories, computational methods and available software [Internet]. Theories computational method and available software. California: Springer Science+ Business Media, LLC; 2013. 450 p. Available from: http://scholar.google.co.il/scholar?q=Zanetti,+P.+(1990).+Air+Pollution+Modeling:&btnG=&hl=en&as_sdt=0,5#0


• 8- Spadaro J V. (Version 1.0) A tool for assessing the environmental impacts and damage costs to human health, agricultural crops and man-made structures from exposure to routine atmospheric emissions. 2002;(October):1–4.


• 9- Rabl A, Spadaro J V. External Costs of Energy: How Much Is Clean Energy Worth? J Sol Energy Eng Trans ASME. 2016;138(4):1–8.


• 10- Liun Badan Tenaga Nuklir Nasional E, Liun E, Kuncoro AH, Sartono E. Environmental Impacts Assessment of Java’s Electricity Generation Using SimPacts Model [Internet]. 2007. Available from: https://www.researchgate.net/publication/267819088


• 11- Karimzadegan H, Rahmatian M, Farsiabi MM, Meiboudi H. Social cost of fossil-based electricity generation plants in Iran. Environ Eng Manag J. 2015;14(10):2373–82.


• 12- Rao NV, Rajasekhar M, Rao GC. Detrimental effect of Air pollution, Corrosion on Building Materials and Historical Structures. Am J Eng Res [Internet]. 2014;03:359–64. Available from: www.ajer.org


• 13- Xu Y. Improvements in the Operation of SO2 Scrubbers in China’s Coal Power Plants. Environ Sci Technol [Internet]. 2010 Jan 15 [cited 2021 Nov 1];45(2):380–5. Available from: https://pubs.acs.org/doi/full/10.1021/es1025678


• 14- Venkat Rao N, Rajasekhar M, Chinna Rao DRG. Detrimental effect of Air pollution, Corrosion on Building Materials and Historical Structures. Vol. 3, American Journal of Engineering Research. 2016. p. 359–64.


• 15- Nedellec V, Bachmann TM, Rabl A, Spadaro J V. Monetary valuation of trace pollutants emitted into air by industrial facilities. Encycl Environ Heal. 2019;(November 2020):470–84.


• 16- Lazaridis M1. First Principles of Meteorology. 2011. p. 67–118.


• 17- Spadaro J V. Airpacts Input Data : Source Characteristics. 2002;(October):1–4.


• 18- Mojaver E, Sobhanardakani S, Moattar F, Jozi SA, Monavari SM. Using a modified version of Airpacts model for estimating the damage posed by sulfur dioxide emission from power plants to urban and rural building façades (case study: Shahid Rajaee power plant, Qazvin Province, Iran). Environ Monit Assess. 2021;193(7).


• 19- Welcome to ICP Materials | RISE [Internet]. [cited 2022 Apr 22]. Available from: https://www.ri.se/en/icp-materials


• 20- Grøntoft T. Estimation of damage cost to building facades per kilo emission of air pollution in Norway. Atmosphere (Basel). 2020;11(7).


• 21- Rabl A, Spadaro J V. Damage Costs of Air Pollution and Policy Implications. Compr Anal Chem. 2016;73(May):881–915.


• 22- Spadaro J V. Input data: pollutant inventory. 2002;(October):1–6.


• 23- Ministry of Roads & Urban Development Islamic Republic of Iran [Internet]. [cited 2021 Aug 19]. Available from: https://www.mrud.ir/en


• 24- Plan and Budget Organization of Iran. [Internet]. Economic reports of 2004. Tehran: Plan and Budget Organization of Iran; [In persian]. 2005 [cited 2021 Aug 19]. Available from: https://www.mporg.ir/en


• 25- وزارت راه و شهرسازی [Internet]. [cited 2022 Apr 17]. Available from: https://www.mrud.ir/


• 26- Reiminger N, Jurado X, Vazquez J, Wemmert C, Blond N, Dufresne M, et al. Effects of wind speed and atmospheric stability on the air pollution reduction rate induced by noise barriers. J Wind Eng Ind Aerodyn. 2020 May 1;200.


• 27- Santos-Alamillos FJ, Pozo-Vázquez D, Ruiz-Arias JA, Tovar-Pescador J. Influence of land-use misrepresentation on the accuracy of WRF wind estimates: Evaluation of GLCC and CORINE land-use maps in southern Spain. Vol. 157, Atmospheric Research. 2015. p. 17–28.


• 28- Santos-Alamillos FJ, Zquez DPV, Ruiz-Arias JA, Lara-Fanego V, Tovar-Pescador J. Analysis of WRF model wind estimate sensitivity to physics parameterization choice and terrain representation in Andalusia (Southern Spain). J Appl Meteorol Climatol. 2013 Jul;52(7):1592–609.


• 29- Octaviani M, Manomaiphiboon K, Prabamroong T. Wind Shear Coefficient at 23 Wind Monitoring Towers in Thailand. Vol. 6. 2015. p. 61–6.


• 30- Bater M, Ahmadi H, Abedi Koupai J, Emadi R. The Effect of Curing Time on Compressive and Tensile Strength of Traditional Kahgel TT - [Internet]. Vol. 36, Jhre. 2017 [cited 2021 Oct 29]. p. 69–86. Available from: http://jhre.ir/article-1-1282-en.html


• 31- Cichowicz R, Wielgosiński G, Fetter W. Effect of wind speed on the level of particulate matter PM10 concentration in atmospheric air during winter season in vicinity of large combustion plant. J Atmos Chem 2020 771 [Internet]. 2020 May 17 [cited 2021 Oct 17];77(1):35–48. Available from: https://link.springer.com/article/10.1007/s10874-020-09401-w