FUZZY DISSOLVED OXYGEN CONTROLLER APPLIED IN ACTIVATED SLUDGE PROCESS

Authors

  • Hugo Adam Sábio
  • Wagner Carvalho Santiago
  • Ruy de Sousa Júnior
  • Maria Raquel Manhani
  • Rafael Akira Akisue

DOI:

https://doi.org/10.56083/RCV3N11-021

Keywords:

Fuzzy Controller, Dissolved Oxygen Control, Activated Sludge, Waste Water Treatment

Abstract

Roughly 80% of waste water treatment plants are based on active sludge technique due to its simplicity and reliability. Under aerobic conditions microorganisms can grow on some organic pollutants present in the wastewater. As such, dissolved oxygen control is paramount in order to save energy, improve effluent quality and achieve high nitrogen removal. However, due to the nonlinearities of bioprocesses, dissolved oxygen (DO) is a challenge in terms of variable control. In Suzano municipal Waste Water Treatment Plant (WWTP) - located in São Paulo Metropolitan area - dissolved oxygen control is conducted based on a set of heuristic rules stablished by skilful operators. Although yielding satisfactory results, staff training is time consuming. Under the light of these facts, this study aimed to develop a fuzzy DO controller applied to activated sludge process. Data collection and implementation of the fuzzy control system were conducted in bioreactors at Suzano WWTP. Three fuzzy inference systems were developed: “aerator number”, “aerator speed” and “submergence height”. The fuzzy controller was tested and calibrated with a dynamic simulator and implemented as a supervisory controller, yielding positive results. Statistically, dissolved oxygen mean was 1.75 mg/L with a standard deviation of 0.25 mg/L. Based on the results the application of fuzzy logic for DO control in activated sludge process has proven not only viable, but an interesting control option. Fuzzy logic overcame DO non-linearities by translating an empirical knowledge into a linguistic, rule-based controller. It is a promising technique, bringing significant advances, both in treatment performance and energy efficiency.

References

AKISUE, R. A. Implementação de sistema nebuloso (“fuzzy”) para controle de oxigênio dissolvido no cultivo de Escherichia coli para expressão de proteínas recombinantes. Tese—São Carlos - SP: Universidade Federal de São Carlos, 2022.

AL-ASHEH, S.; BAGHERI, M.; AIDAN, A. Membrane bioreactor for wastewater treatment: A review. Case Studies in Chemical and Environmental Engineering, v. 4, p. 100109, dez. 2021. DOI: https://doi.org/10.1016/j.cscee.2021.100109

BELCHIOR, C. A. C.; ARAÚJO, R. A. M.; LANDECK, J. A. C. Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control. Computers & Chemical Engineering, v. 37, p. 152–162, fev. 2012. DOI: https://doi.org/10.1016/j.compchemeng.2011.09.011

DIAS, M. C. Comportamento do sistema de lodo ativado sob condições estacionárias em regiões tropicais. Dissertação—Campina Grande - PB: Universidade Federal de Campina Grande, 1982.

GOMIDE, F. A. C.; GUDWIN, R. R. Modelagem, Controle, Sistemas e Lógica Fuzzy. Modelagem, Controle, Sistemas e Lógica Fuzzy. v. 4, n. 3, p. 19, 1994.

GUVEN, H. et al. Energy and material refineries of future: Wastewater treatment plants. Journal of Environmental Management, v. 329, p. 117130, mar. 2023. DOI: https://doi.org/10.1016/j.jenvman.2022.117130

HAN, H.-G.; LIU, Z.; QIAO, J.-F. Fuzzy Neural Network-Based Model Predictive Control for Dissolved Oxygen Concentration of WWTPs. International Journal of Fuzzy Systems, v. 21, n. 5, p. 1497–1510, jul. 2019. DOI: https://doi.org/10.1007/s40815-019-00644-8

HSIAO, J. et al. Adaptive Control Strategy for Maintaining Dissolved Oxygen Concentration in High Density Growth of Recombinant E. coli. Annals of the New York Academy of Sciences, v. 665, n. 1, p. 320–333, out. 1992. DOI: https://doi.org/10.1111/j.1749-6632.1992.tb42595.x

JAIN, K. et al. Nanotechnology in Wastewater Management: A New Paradigm Towards Wastewater Treatment. Molecules, v. 26, n. 6, p. 1797, 23 mar. 2021. DOI: https://doi.org/10.3390/molecules26061797

JORDÃO, E. P. Tratamento de esgotos domésticos. 8. ed. Rio de Janeiro: Abes, 2017.

LEE, S. C. et al. Adaptive control of dissolved oxygen concentration in a bioreactor. Biotechnology and Bioengineering, v. 37, n. 7, p. 597–607, 25 mar. 1991. DOI: https://doi.org/10.1002/bit.260370702

LI, D.; ZOU, M.; JIANG, L. Dissolved oxygen control strategies for water treatment: a review. Water Science and Technology, v. 86, n. 6, p. 1444–1466, 15 set. 2022. DOI: https://doi.org/10.2166/wst.2022.281

MONTENEGRO, P. et al. Controle do Oxigênio Dissolvido no Tratamento Biológico de Esgoto Doméstico em um Reator Aeróbio usando um Controlador FUZZY. Anais do Congresso Brasileiro de Automática 2020. Anais. Em: CONGRESSO BRASILEIRO DE AUTOMÁTICA - 2020. sbabra, 7 dez. 2020. Disponível em: <https://www.sba.org.br/open_journal_systems/index.php/sba/article/view/1379>. Acesso em: 22 set. 2023 DOI: https://doi.org/10.48011/asba.v2i1.1379

NIDHEESH, P. V. et al. Emerging technologies for mixed industrial wastewater treatment in developing countries: An overview. Environmental Quality Management, v. 31, n. 3, p. 121–141, mar. 2022. DOI: https://doi.org/10.1002/tqem.21762

PIOTROWSKI, R.; WONIA, M.; WONIA, A. Stochastic optimisation algorithm for optimisation of controller parameters for control of dissolved oxygen in wastewater treatment plant. Journal of Water Process Engineering, v. 51, p. 103357, fev. 2023. DOI: https://doi.org/10.1016/j.jwpe.2022.103357

SABESP. Suzano Waste Water Treatment Plant Operational Manual. Sabesp, 2023.

Sabesp Sustainability Report 2021. São Paulo: Sabesp, 2021. Disponível em: <https://ri.sabesp.com.br/en/company/sustainability-report/>. Acesso em: 12 set. 2023.

SPERLING, M. V. Lodos Ativados. 4. ed. Belo Horizonte: Editora UFMG, 2016.

TSEKOURAS, G. J. et al. Microbial Fuel Cell for Wastewater Treatment as Power Plant in Smart Grids: Utopia or Reality? Frontiers in Energy Research, v. 10, p. 843768, 14 abr. 2022. DOI: https://doi.org/10.3389/fenrg.2022.843768

VAN HAANDEL, A. C.; MARAIS, G. O comportamento do sistema de lodo ativado: teoria e aplicações para projetos e operação. 3. ed. Paraíba: epgraf, 1999.

Wastewater: the untapped resource. Paris: UNESCO, 2017. Disponível em: <https://unesdoc.unesco.org/ark:/48223/pf0000247153>. Acesso em: 12 set. 2023.

WHO. WHO Global water, sanitation and hygiene. Annual report 2021. Annual Report 2021, 2021.

ZADEH, L. A. Fuzzy sets. Information and Control, v. 8, n. 3, p. 338–353, jun. 1965. DOI: https://doi.org/10.1016/S0019-9958(65)90241-X

ZADEH, L. A. Fuzzy logic and approximate reasoning: In memory of Grigore Moisil. Synthese, v. 30, n. 3–4, p. 407–428, 1975. DOI: https://doi.org/10.1007/BF00485052

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Published

2023-11-03

How to Cite

Sábio, H. A., Santiago, W. C., de Sousa Júnior, R., Manhani, M. R., & Akisue, R. A. (2023). FUZZY DISSOLVED OXYGEN CONTROLLER APPLIED IN ACTIVATED SLUDGE PROCESS. Revista Contemporânea, 3(11), 20248–20271. https://doi.org/10.56083/RCV3N11-021

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