Optimization of Wastewater Treatment Plant Design using Process Dynamic Simulation: A Case Study from Kurdistan, Iraq

Hayder M. Issa


Satisfactory effluent characteristics are indispensable to evaluate the performance of any wastewater treatment plant (WWTP) design. Dynamic simulation software has a great role in pursuing this objective, in which an efficient and cost-effective design is constantly performed. In this study, a dynamic simulator sewage treatment operation analysis over time (STOAT) has been used under certain influent conditions to optimize design possibilities for modifying an existing primary WWTP College of Engineering Wastewater Treatment Plant (COEWWTP) at Erbil, Kurdistan, Iraq. The optimization was established on the basis of total suspended solids (TSS) and biochemical oxygen demand (BOD) characteristics in the effluent. Two alternative design schemes were proposed; trickling biofilter and aeration basin. In the dynamic simulation for the investigated design schemes, the predicted effluent profile showed that each of the existing and trickling biofilter processes has failed to correspond to the valid effluent limitation, whereas predicted results of the aeration basin exhibited an effluent profile that meets TSS and BOD allowable limits. Different simulation models have been implemented by STOAT to simulate treatment processes in studied design approaches: ASAL 1 model; BOD model; BOD semi-dynamic model; and SSED 1 model. This study offers an additional understanding of WWTP design and facilitates the application of dynamic simulators as tools for wastewater treatment development in Kurdistan.


Wastewater dynamic simulation; Sewage treatment operation analysis over time; Trickling biofilter; Activated sludge; Aeration tank

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Al-Barzingy, Y.O.M., Haydar, N.H., and Shekha, Y.A., 2010. The effect of wastewater disposal on the water quality and phytoplankton in Erbil wastewater channel. Baghdad Science Journal, 7(2), pp.984-993.

Chipofya, V., and Avramenko, Y., 2010. Comparison of pollutant levels in effluent from wastewater treatment plants in Blantyre, Malawi. International Journal of Water Resources and Environmental Engineering, 4(2), pp.79-86.

Davis, M.L., 2010. Water and Wastewater Engineering. 1st ed., McGraw-Hill Education, New York.

Drinan, J.E., and Spellman, F., 2015. Water and Wastewater Treatment. A Guide for the Nonengineering Professional. 1st, 2nd ed., CRC Press, Boca Ratón, Florida.

Dudley, J., and Dickson, C., 1992. Dynamic Sewage Treatment Works Modelling. WRC, Report No. UM, 1352.

Francisco, M., Skogestad, S., and Vega, P., 2015. Model predictive control for the self-optimized operation in wastewater treatment plants: Analysis of dynamic issues. Computers and Chemical Engineering, 82, pp.259-272.

Fung, K.Y., Lee, C.M., Ng, K.M., Wibowo, C., Deng, Z., and Wei, C., 2012. Process development of treatment plants for dyeing wastewater. AIChE Journal, 58(9), pp.2726-2742.

Garrido-Baserba, M., Reif, R., Hernández, F., and Poch, M., 2012. Implementation of a knowledge-based methodology in a decision support system for the design of suitable wastewater treatment process flow diagrams. Journal of Environmental Management, 112, pp.384-391.

Gernaey, K.V., van Loosdrecht, M.C.M., Henze, M., Lind, M., and Jørgensen, S.B., 2004. Activated sludge wastewater treatment plant modelling and simulation: State of the art. Environmental Modelling and Software, 19(9), pp.763-783.

Gillot, S., De Clercq, B., Defour, D., Simoens, F., Gernaey, K., and Vanrolleghem, P. 1999. Optimisation of Wastewater Treatment Plant Design and Operation Using Simulation and Cost Analysis. Paper Presented at the Proceedings 72ndAnnual WEF Conference and Exposition. New Orleans, USA.

Guerrero, J., Guisasola, A., Vilanova, R., and Baeza, J.A., 2011. Improving the performance of a WWTP control system by model-based setpoint optimisation. Environmental Modelling and Software, 26(4), pp.492-497.

Hakanen, J., Sahlstedt, K., and Miettinen, K., 2013. Wastewater treatment plant design and operation under multiple conflicting objective functions. Environmental Modelling and Software, 46, pp.240-249.

Hreiz, R., Latifi, M.A., and Roche, N., 2015. Optimal design and operation of activated sludge processes: State-of-the-art. Chemical Engineering Journal, 281, pp.900-920.

Issa, H.M., 2016. Scale-up criterion of power consumption for a surface aerator used in wastewater treatment tank. International Journal of Energy and Environment, 7(5), pp.427-434.

Issa, H.M., 2017. Dependence of aeration efficiency in projected water spray on hydrodynamic profile in a water treatment tank. ZANCO Journal of Pure and Applied Sciences, 28(2), pp.9-16.

Kabouris, J.C., 1999. Modeling, instrumentation, automation, and optimization of wastewater treatment facilities. Water Environment Research, 71(5), pp.729-736.

Khiewwijit, R., Temmink, H., Rijnaarts, H., and Keesman, K.J., 2015. Energy and nutrient recovery for municipal wastewater treatment: How to design a feasible plant layout? Environmental Modelling and Software, 68, pp.156-165.

Kotoupas, A., Rigas, F., and Chalaris, M., 2007. Computer-aided process design, economic evaluation and environmental impact assessment for treatment of cheese whey wastewater. Desalination, 213(1), pp.238-252.

Martin, C., and Vanrolleghem, P.A., 2014. Analysing, completing, and generating influent data for WWTP modelling: A critical review. Environmental Modelling and Software, 60, pp.188-201.

Matsuo, T., Hanaki, K., Takizawa, S., and Satoh, H., 2001. Advances in Water and Wastewater Treatment Technology: Molecular Technology, Nutrient Removal, Sludge Reduction, and Environmental Health. 1st ed., Elsevier Science B. V, Amsterdam.

Ministry of Environment., 2010. Iraqi Environmental Limitations of Discharged Sewage. Unpublished Report, Baghdad, Iraq.

Oleszkiewicz, J.A., Kalinowska, E., Dold, P., Barnard, J.L., Bieniowski, M., Erenc, Z.F., and Udol, J.S., 2004. Feasibility studies and pre-design simulation of Warsaw’s new wastewater treatment plant. Environmental Technology, 25(12), pp.1405-1411.

Oliveira, M.E.C., and Franca, A.S., 1998. Simulation of oxygen mass transfer in aeration systems. International Communications in Heat and Mass Transfer, 25(6), pp.853-862.

Petrides, D., Cruz, R., and Calandranis, J., 1998. Optimization of wastewater treatment facilities using process simulation. Computers and Chemical Engineering, 22(1), pp.S339-S346.

Revollar, S., Vega, P., Vilanova, R., and Francisco, M., 2017. Optimal control of wastewater treatment plants using economic-oriented model predictive dynamic strategies. Applied Sciences, 7(8), p.813.

Rivas, A., Irizar, I., and Ayesa, E., 2008. Model-based optimisation of wastewater treatment plants design. Environmental Modelling and Software, 23(4), pp.435-450.

Sarkar, U., Dasgupta, D., Bhattacharya, T., Pal, S., and Chakroborty, T., 2010. Dynamic simulation of activated sludge based wastewater treatment processes: Case studies with Titagarh sewage treatment plant, India. Desalination, 252(1), pp.120-126.

Shekha, Y.A., Toma, J.J., and Al-Barzingy, Y.O.M., 2016. Algal survey in wastewater channel of Erbil city, Iraq. Diyala Journal for Pure Science, 12, pp.39-57.

Siegrist, H., and Tschui, M., 1992. Interpretation of experimental data with regard to the activated sludge model no. 1 and calibration of the model for municipal wastewater treatment plants. Water Science and Technology, 25(6), pp.167-183.

Smith, R., Elger, S., and Mleziva, S., 2014. Wastewater: Solids retention time control in wastewater treatment. Filtration and Separation, 51(3), pp.12-17.

Spellman, F.R., 2008. Handbook of Water and Wastewater Treatment Plant Operations. 2nd ed., Taylor and Francis, Boca Raton.

Spiller, M., Vreeburg, J.H.G., Leusbrock, I., and Zeeman, G., 2015. Flexible design in water and wastewater engineering definitions, literature and decision guide. Journal of Environmental Management, 149, pp.271-281.

Stokes, A.J., Forster, C.F., West, J.R., and Davies, W.J., 2000. Stoat and the oxygen requirements of an activated Sludge Plant. Environmental Technology, 21(11), pp.1223-1231.

Stokes, A.J., West, J.R., Forster, C.F., and Davies, W.J., 2000. Understanding some of the differences between the COD and BOD-based models offered in STOAT. Water Resources, 34(4), pp.1296-1306.

Varank, G., Erkan, H., Yazýcý, S., Demir, A., and Engin, G., 2014. Electrocoagulation of tannery wastewater using monopolar electrodes: Process optimization by response surface methodology. International Journal of Environmental Research, 8(1), pp.165-180.

Verma, A., Wei, X., and Kusiak, A., 2013. Predicting the total suspended solids in wastewater: A data-mining approach. Engineering Applications of Artificial Intelligence, 26(4), pp.1366-1372.

Wang, Y., Li, W., Irini, A., and Su, C., 2014. Removal of organic pollutants in tannery wastewater from wet-blue fur processing by integrated anoxic/oxic (A/O) and fenton: Process optimization. Chemical Engineering Journal, 252, pp.22-29.

Williams, P.T., 2013. Waste Treatment and Disposal. 1st ed., Wiley, Chichester, UK.

DOI: http://dx.doi.org/10.14500/aro.10488
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