Analysis of benchmarking and simulation for the optimization of a commercial wastewater treatment plant

Authors

DOI:

https://doi.org/10.24850/j-tyca-2026-02-02

Keywords:

Wastewater, water treatment, energy consumption, comparative analysis, simulation models, Mexico

Abstract

Sustainable consumption of water and energy to mitigate environmental damage from anthropogenic activities is necessary. The most widely used wastewater treatment system in the world is conventional activated sludge. However, it has high operating costs, between 60 and 70 % due to energy consumption. In this study, “Benchmarking” allowed a comparative analysis between wastewater treatment plants (WWTP) of similar magnitudes with parameters and specific energy consumption, complemented with a simulation in SIMBA# free version (not considering tertiary treatments), to improve the operational process of a commercial WWTP in Mérida, Yucatán. The results show that it is possible, by adjusting the capacity of the two blowers from 5 HP to 3 HP, to reduce 40.58 % of the total energy consumption in the WWTP (due to excess aeration), which additionally improves the quality of the effluent in the specific parameter of total nitrogen with a reduction from 72 g N/m3 to 56 g N/m3. However, it is necessary to make the proposed changes in the WWTP of this study to obtain the results in real operation and make pertinent adjustments.

References

Åmand, L., & Carlsson, B. (2014). Aeration control with gain scheduling in a full-scale wastewater treatment plant. IFAC Proceedings Volumes, 47(3), 7146-7151. https://doi.org/10.3182/20140824-6-ZA-1003.01892

Beccari, M., Pinto, A. C. D., Ramadori, R., & Tomei, M. (1992). Effects of dissolved oxygen and diffusion resistances on nitrification kinetics. Water Research, 26(8), 1099-1104. https://doi.org/10.1016/0043-1354(92)90146-U

Belloir, C., Stanford, C., & Soares, A. (2015). Energy benchmarking in wastewater treatment plants: the importance of site operation and layout. Environmental Technology, 36(2), 260-269. https://doi.org/10.1080/09593330.2014.951403

Christoforidou, P., Bariamis, G., Iosifidou, M., Nikolaidou, E., & Samaras, P. (2020). Energy benchmarking and optimization of wastewater treatment plants in Greece. The 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities, 36. Basel Switzerland: MDPI. https://doi.org/10.3390/environsciproc2020002036

Cui, B., Yang, Q., Liu, X., Huang, S., Yang, Y., & Liu, Z. (2020). The effect of dissolved oxygen concentration on long-term stability of partial nitrification process. Journal of Environmental Sciences, 90, 343-351. https://doi.org/10.1016/j.jes.2019.12.012

ENERWATER. (2015). Standard method and online tool for assessing and improving the energy efficiency of wastewater treatment plants. https://doi.org/10.3030/649819

Gu, Y., Li, Y., Li, X., Luo, P., Wang, H., Wang, X., Wu, J., & Li, F. (2017). Energy self-sufficient wastewater treatment plants: feasibilities and challenges. Energy Procedia, 105, 3741-3751. https://doi.org/10.1016/j.egypro.2017.03.868

Hreiz, R., Latifi, M. A., & Roche, N. (2015). Optimal design and operation of activated sludge processes: State-of-the-art. Chemical Engineering Journal, 281, 900-920. https://doi.org/10.1016/j.cej.2015.06.125

Lu, H., Chandran, K., & Stensel, D. (2014). Microbial ecology of denitrification in biological wastewater treatment. Water Research, 64, 237-254. https://doi.org/10.1016/j.watres.2014.06.042

Metcalf & Eddy Inc. & AECOM. (2013). Wastewater engineering: Treatment and resource recovery (5th ed.). New York, USA: McGraw-Hill Education.

Muñoz-Hernandez, J. A., Muñoz-Hernández, H., & Leguizamon-Castellanos, L. E. (2017). Predictive control of the concentration of dissolved oxygen (DO) in the pilot bioreactor wastewater plant Ibagué University. Scientia et Technica, 22(1), 47. https://doi.org/10.22517/23447214.9911

Niu, K., Wu, J., Qi, L., & Niu, Q. (2019). Energy intensity of wastewater treatment plants and influencing factors in China. Science of the Total Environment, 670, 961-970. https://doi.org/10.1016/j.scitotenv.2019.03.159

Okabe, S., Aoi, Y., Satoh, H., & Suwa, Y. (2014). Nitrification in wastewater treatment. In: Nitrification (pp. 405-433). Washington, DC, USA: ASM Press. https://doi.org/10.1128/9781555817145.ch16

Pérez, F. (2006). Informe preventivo de planta de tratamiento de aguas residuales del fraccionamiento Altabrisa. Mérida, México: Consultoría, Gestión, Estudios y Proyectos Ambientales. Recuperado de https://es.scribd.com/document/322671120/Planta-de-Aguas-Altabrisa-Merida-Yuc

Płuciennik-Koropczuk, E., & Myszograj, S. (2019). New approach in COD fractionation methods. Water, 11(7), 1484. https://doi.org/10.3390/w11071484

Ruiz, L. M., Pérez, J. I., & Gómez, M. A. (2023). Practical review of modelling and simulation applications at full-scale wastewater treatment plants. Journal of Water Process Engineering, 56, 104477. https://doi.org/10.1016/j.jwpe.2023.104477

Semarnat, Secretaría de Medio Ambiente y Recursos Naturales. (2002). NOM-004-SEMARNAT-2002, Lodos y biosólidos. Especificaciones y límites máximos permisibles de contaminantes para su aprovechamiento y disposición final. Recuperado de https://www.dof.gob.mx/nota_detalle.php?codigo=691939&fecha=15/08/2003#gsc.tab=0

Semarnat, Secretaría de Medio Ambiente y Recursos Naturales. (2021). NOM-001-SEMARNAT-2021. Que establece los límites permisibles de contaminantes en las descargas de aguas residuales en cuerpos receptores propiedad de la nación. Recuperado de https://www.dof.gob.mx/nota_detalle.php?codigo=5645374&fecha=11/03/2022#gsc.tab=0

Spruston, S., Kolesov, A., & Main, D. (2012). Leveraging the energy of the group to manage the energy of the utility: The NWWBI adopts industry tools to improve energy performance. Proceedings of the Water Environment Federation, 2012(14), 2383-2402. https://doi.org/10.2175/193864712811726365

Suárez, S. D. (2014). Diseño de una planta de tratamiento de aguas residuales provenientes de las descargas de un centro comercial de la ciudad de Quito mediante procesos de electrocoagulación y adsorción en carbón activado (tesis de Ingeniería Química). Escuela Politécnica Nacional, Quito, Ecuador. Recuperado de http://bibdigital.epn.edu.ec/handle/15000/8492

Torregrossa, D., Schutz, G., Cornelissen, A., Hernández-Sancho, F., & Hansen, J. (2016). Energy saving in WWTP: Daily benchmarking under uncertainty and data availability limitations. Environmental Research, 148, 330-337. https://doi.org/10.1016/j.envres.2016.04.010

Torregrossa, D. (2018). A decision support system for energy saving in Waste Water Treatment Plants (Tesis de doctorado). Université Du Luxembourg, Luxemburgo.

Vaccari, M., Foladori, P., Nembrini, S., & Vitali, F. (2018). Benchmarking of energy consumption in municipal wastewater treatment plants – a survey of over 200 plants in Italy. Water Science and Technology, 77(9), 2242-2252. https://doi.org/10.2166/wst.2018.035

Villanueva, L., & Yance, J. (2017). Mejoramiento de la eficiencia de remoción de materia orgánica y coliformes termotolerantes en la PTAR del distrito de Huáchac-Chupaca (tesis de Ingeniería Química Ambiental). Universidad Nacional del Centro del Perú, Huancayo, Perú. Recuperado de https://repositorio.uncp.edu.pe/handle/20.500.12894/3781

Walker, N. L., Williams, A. P., & Styles, D. (2021). Pitfalls in international benchmarking of energy intensity across wastewater treatment utilities. Journal of Environmental Management, 300, 113613. https://doi.org/10.1016/j.jenvman.2021.113613

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Published

2026-03-01

How to Cite

España-Gamboa, E., Rubalcava-Llamas, N., Valladares-Linares, R., Domínguez-Maldonado, J., Tapia-Tussell, R., & Alzate-Gaviria, L. (2026). Analysis of benchmarking and simulation for the optimization of a commercial wastewater treatment plant. Tecnología Y Ciencias Del Agua, 17(2), 43-76. https://doi.org/10.24850/j-tyca-2026-02-02