Fuzzy PID Algorithm-Based External Carbon Controller for Denitrification Process Enhancement in Wastewater Treatment Plant

Main Article Content

Gutama Indra Gandha Dedi Nurcipto

Abstract

The water scarcity and drought challenge are the current issue that faced by many countries in the world. The water scarcity and drought have disadvantageous impact to agriculture, industry and the environment. Wastewater reuse method has recognized as solution to overcome water scarcity. Wastewater treatment plant (WWTP) is a widely known as water replenishment that using wastewater reuse system that integrates microbial decomposition to process the wastewater. The over limit of effluent level leads to degradation of water quality produced by the plant. The denitrification process enhancement is highly recommended to increase the quality of water disposal. The adding of carbon material has recognized as a method to enhance the denitrification process. The rising of operational cost of the plant is the direct effect of the using of carbon addition. The high-performance controller is highly suggested to control the flow of carbon material in order to enhance the denitrification process and optimizing the carbon material usage. The PID controller is widely used in industrial purposes. Due the nonlinearity and complexity of the waste water treatment plant make the traditional PID unable to work appropriately. The real-time error correction must be performed to minimize the error.  It could be achieved by combining Fuzzy controller and traditional PID controller. The Fuzzy-PID controller has been succeeded to reduce the usage of the carbon than PID controller. The implementation of Fuzzy-PID controller is able to save the usage of carbon consumption by 412 kg COD.  The nitrogen concentration, aeration energy and pumping energy also decreased by 0.0029 mg N/L,87kWh and 17 kWh.

Downloads

Download data is not yet available.

Article Details

How to Cite
GANDHA, Gutama Indra; NURCIPTO, Dedi. Fuzzy PID Algorithm-Based External Carbon Controller for Denitrification Process Enhancement in Wastewater Treatment Plant. JURNAL INFOTEL, [S.l.], v. 10, n. 4, nov. 2018. ISSN 2460-0997. Available at: <http://ejournal.st3telkom.ac.id/index.php/infotel/article/view/407>. Date accessed: 12 dec. 2018. doi: https://doi.org/10.20895/infotel.v10i4.407.
Section
Articles

References

[1] T. I. W. Association, “Brisbane Report: Conclusions, Key Messages and Outcomes,” Brisbane, 2016.
[2] M. Smanta, “The water Crisis in Kenya: Causes, Effects and Soultions,” Glob. Major. E-Journal, vol. 2, no. June 2011, pp. 31–45, 2011.
[3] X. Garcia and D. Pargament, “Reusing wastewater to cope with water scarcity: Economic, social and environmental considerations for decision-making,” Resour. Conserv. Recycl., vol. 101, pp. 154–166, 2015.
[4] Y. Takabe, I. Kameda, R. Suzuki, F. Nishimura, and S. Itoh, “Changes of microbial substrate metabolic patterns through a wastewater reuse process, including WWTP and SAT concerning depth,” Water Res., vol. 60, pp. 105–117, 2014.
[5] Water Association, “Biological Nutrient Removal,” Washington, 2007.
[6] H. L. Tang and H. Chen, “Nitrification at full-scale municipal wastewater treatment plants: Evaluation of inhibition and bioaugmentation of nitrifiers,” Bioresour. Technol., vol. 190, pp. 76–81, 2015.
[7] G. Gandha and D. Nurcipto, “Strategi kendali kadar nitrat berbasis fuzzy-PID pada Proses nitrogen removal di instalasi pengolahan air limbah,” J. Infotel, vol. 8, p. 7, 2016.
[8] I. Santín, C. Pedret, and R. Vilanova, “Fuzzy Control and Model Predictive Control Configurations for Effluent Violations Removal in Wastewater Treatment Plants,” Ind. Eng. Chem. Res., vol. 54, no. 10, pp. 2763–2775, 2015.
[9] M. Henze, R. Dupont, P. Grau, and A. de la Sota, “Rising sludge in secondary settlers due to denitrification,” Water Res., vol. 27, no. 2, pp. 231–236, 1993.
[10] L. Evans, S. Hennige, T. Gutierrez, A. J. Adeloye, and N. Willoughby, “Effect of organic carbon enrichment on the treatment efficiency of primary settled wastewater by Chlorella vulgaris,” N. Biotechnol., vol. 33, no. April, pp. 368–377, 2016.
[11] J. C. Qibin Wang, Qiuwen Chen, “Optimizing external carbon source addition in domestics wastewater treatment based on online sensoring data and a numerical model,” Water Sci. Technol., vol. 75, no. 9, 2017.
[12] L. Xu and F. Ding, “Design of the PID controller for industrial processes based on the stability margin,” 2016 Chinese Control Decis. Conf., pp. 3300–3304, 2016.
[13] Y. Liu, T. Lan, and Y. Jin, “Research on Fuzzy PID Controller Design of Actuator System,” pp. 218–221, 2017.
[14] J. Alex et al., “Industrial Electrical Engineering and Automation Benchmark Simulation Model no . 1 ( BSM1 ),” vol. 1, no. 1, 2008.
[15] J. Alex et al., “Benchmark for evaluating control strategies in wastewater treatment plants,” Eur. Control Conf. ECC 1999 - Conf. Proc., pp. 3746–3751, 2015.
[16] D. Nourmohammadi, M. Esmaeeli, H. Akbarian, and M. Ghasemian, “Nitrogen Removal in a Full-Scale Domestic Wastewater Treatment Plant with Activated Sludge and Trickling Filter,” vol. 2013, 2013.
[17] G. S. Ostace, V. M. Cristea, and P. ?. Agachi, “Investigation of Different Control Strategies for the BSM1 Waste Water Treatment Plant with Reactive Secondary Settler Model,” vol. 1, no. 1, pp. 1–6, 2010.
[18] Y. Gu et al., “The feasibility and challenges of energy self-sufficient wastewater treatment plants,” Appl. Energy, 2017.
[19] P. L. McCarty, J. Bae, and J. Kim, “Domestic wastewater treatment as a net energy producer - can this be achieved?,” Environ. Sci. Technol., vol. 45, no. 17, pp. 7100–6, 2011.
[20] Y. zhen PENG, Y. MA, and S. ying WANG, “Denitrification potential enhancement by addition of external carbon sources in a pre-denitrification process,” J. Environ. Sci., vol. 19, no. 3, pp. 284–289, 2007.
[21] P. Battistoni, R. Boccadoro, L. Innocenti, and D. Bolzonella, “Addition of an External Carbon Source To Enhance Nitrogen Biological Removal in the Treatment of Liquid Industrial Wastes,” Ind. Eng. Chem. Res., vol. 41, no. 11, pp. 2805–2811, 2002.
[22] S. Marsili-Libelli and L. Giunti, “Fuzzy predictive control for nitrogen removal in biological wastewater treatment.,” Water Sci. Technol., vol. 45, no. 4–5, pp. 37–44, 2002.
[23] K. S. Holkar and L. M. Waghmare, “An overview of model predictive control,” Int. J. Control Autom., vol. 3, no. 4, p. 7, 2010.
[24] S. Revollar, R. Vilanova, M. Francisco, and P. Vega, “PI Dissolved Oxygen control in wastewater treatment plants for plantwide nitrogen removal efficiency,” IFAC-PapersOnLine, vol. 51, no. 4, pp. 450–455, 2018.
[25] G. Indra Gandha and D. Nurcipto, “Strategi Kendali Kadar Nitrat Berbasis Fuzzy-PID Pada Proses Nitrogen Removal di Instalasi Pengolahan Air Limbah,” 124 J. Infotel, vol. 8, no. 2, 2016.
[26] E. Systems, “Comparison of Proportional-Integral ( P-I ) and Integral-Proportional ( I-P ) controllers for speed control in Vector controlled Induction Motor,” 2012.
[27] “Review . Advantages and disadvantages of control theories applied in greenhouse climate control systems,” vol. 10, no. 4, pp. 926–938, 2012.
[28] G. Zaidner et al., “Non Linear PID and its application in Process Control,” 26-th Conv. Electr. Electron. Eng. Isr. Non, pp. 574–577, 2010.
[29] A. S. Stillwell, “Energy Recovery from Wastewater Treatment Plants in the United States: A Case Study of the Energy-Water Nexus,” Sustainability, vol. 2, pp. 945–962, 2010.