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International Journal of Chemical Reactor Engineering

Ed. by de Lasa, Hugo / Xu, Charles Chunbao


IMPACT FACTOR 2017: 0.881
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1542-6580
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Volume 16, Issue 11

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Fractal Analysis of pH Time-Series of an Anaerobic Digester for Cheese Whey Treatment

Dianna Sánchez-García / Héctor Hernández-García / Hugo O. Mendez-Acosta / Alberto Hernández-Aguirre
  • Departamento de Energía, Universidad Autónoma Metropolitana-Azcapotzalco, México D.F., México
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Héctor Puebla
  • Departamento de Energía, Universidad Autónoma Metropolitana-Azcapotzalco, México D.F., México
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Eliseo Hernández-Martínez
Published Online: 2018-07-05 | DOI: https://doi.org/10.1515/ijcre-2017-0261

Abstract

Cheese whey is a byproduct of the cheese industry and contains high concentrations of organic matter. Anaerobic digestion (AD) technology is an attractive solution to whey disposal since it allows the reduction of organic matter and simultaneously generates energy via biogas. The biological degradation of cheese whey is characterized by an unstable operation. A critical operational issue in the AD treatment of cheese whey is the tendency of rapid acidification of the waste requiring robust monitoring and control systems for reliable and efficient operation. Recent studies show that techniques based on fractal analysis of time series can be used for the indirect monitoring of critical variables of AD process (i. e., COD, VFA and methane production) for agro-industrial wastewaters. In this work, the application of the fractal analysis of pH time series obtained from an up-flow digester for cheese whey treatment is presented. The results suggest that fractal analysis can be applied to the indirect monitoring of a representative and high strength dairy wastewater. Furthermore, although the complex phenomena underlying in pH in the AD of cheese whey, the fractal analysis can unveil correlations of fractal parameters with key process variables.

Keywords: cheese whey treatment; pH time-series; fractal analysis; indirect monitoring

References

  • Akil, K., and S. Jayanthi. 2012. “Anaerobic Sequencing Batch Reactors and Its Influencing Factors : An Overview.” Journal of Environmental Science and Engineering 54 (2): 317–322.Google Scholar

  • Alcaraz-Gonzalez, V., J. Harmand, A. Rapaport, J. P. Steyer, V. Gonzalez-Alvarez, and C. Pelayo-Ortiz. 2005. “Robust Interval-Based Regulation for Anaerobic Digestion Processes.” Water Science and Technology 52 (1–2): 449–456.CrossrefGoogle Scholar

  • Alrawi, R. A., A. Ahmad, I. Norli, and M. O. Ak. 2010. “Methane Production during Start-Up Phase of Mesophilic Semi-Continues Suspended Growth Anaerobic Digester.” International Journal of Chemical Reactor Engineering 8: 1.Google Scholar

  • Alvarez-Ramirez, J., J. C. Echeverria, and E. Rodriguez. 2008. “Performance of a High-Dimensional R/S Method for Hurst Exponent Estimation.” Physica A: Statistical Mechanics and Its Applications 387 (26): 6452–6462.CrossrefGoogle Scholar

  • Baek, J.G., J. Park, T.S. Kim, and H.D. Park. 2011. “Analysis of the Time Dependency of Ammonia-Oxidizing Bacterial Community Dynamics in an Activated Sludge Bioreactor.” Journal of Bioscience and Bioengineering 112 (2): 166–169.CrossrefGoogle Scholar

  • Bitton, G. 2005. Wastewater Microbiology. USA: John Wiley & Sons.Google Scholar

  • Buffiere, P., L. Delgadillo Mirquez, J. P. Steyer, N. Bernet, and J. P. Delgenes. 2008. “Anaerobic Digestion of Solid Wastes Needs Research to Face an Increasing Industrial Success.” International Journal of Chemical Reactor Engineering 6: 1.Google Scholar

  • Carvalho, F., A. R. Prazeres, and J. Rivas. 2013. “Cheese Whey Wastewater: Characterization and Treatment.” Science of the Total Environment 445: 385–396.Google Scholar

  • Chae, K. J., A. M. Jang, S. K. Yim, and I. S. Kim. 2008. “The Effects of Digestion Temperature and Temperature Shock on the Biogas Yields from the Mesophilic Anaerobic Digestion of Swine Manure.” Bioresource Technology 99 (1): 1–6.CrossrefGoogle Scholar

  • Dimitrellou, D., P. Kandylis, Y. Kourkoutas, and M. Kanellaki. 2017. “Novel Probiotic Whey Cheese with Immobilized Lactobacilli on Casein.” LWT-Food Science and Technology 86: 627–634.CrossrefGoogle Scholar

  • Dinopoulou, G., T. Rudd, and J. N. Lester. 1988. “Anaerobic Acidogenesis of a Complex Wastewater: 1. The Influence of Operational Parameters on Reactor Performance.” Biotechnology and Bioengineering 31: 958–968.CrossrefGoogle Scholar

  • Dochain, D. 2003. “State and Parameter Estimation in Chemical and Biochemical Processes: A Tutorial.” Journal of Process Control 13 (8): 801–818.CrossrefGoogle Scholar

  • Donoso-Bravo, A., J. Mailier, C. Martin, J. Rodríguez, C. A. Aceves-Lara, and A. V. Wouwer. 2011. “Model Selection, Identification and Validation in Anaerobic Digestion: A Review.” Water Research 45 (17): 5347–5364.CrossrefGoogle Scholar

  • Dreyfus, G. 2005. Neural Networks: Methodology and Applications. Heidelberg, Germany: Springer Science & Business Media.Google Scholar

  • Ergüder, T. H., U. Tezel, E. Güven, and G. N. Demirer. 2001. “Anaerobic Biotransformation and Methane Generation Potential of Cheese Whey in Batch and UASB Reactors.” Waste Management 21 (7): 643–650.CrossrefGoogle Scholar

  • Espinoza-Escalante, F. M., C. Pelayo-Ortíz, J. Navarro-Corona, Y. González-García, A. Bories, and H. Gutiérrez-Pulido. 2009. “Anaerobic Digestion of the Vinasses from the Fermentation of Agave Tequilana Weber to Tequila: The Effect of pH, Temperature and Hydraulic Retention Time on the Production of Hydrogen and Methane.” Biomass and Bioenergy 33 (1): 14–20.CrossrefGoogle Scholar

  • Frigon, J. C., J. Breton, T. Bruneau, R. Moletta, and S. R. Guiot. 2009. “The Treatment of Cheese Whey Wastewater by Sequential Anaerobic and Aerobic Steps in a Single Digester at Pilot Scale.” Bioresource Technology 100 (18): 4156–4163.CrossrefGoogle Scholar

  • Garcia-Solano, M., H. O. Méndez-Acosta, H. Puebla, and E. Hernandez-Martinez. 2016. “Dynamic Characterization of an Anaerobic Digester during the Start-Up Phase by pH Time-Series Analysis.” Chaos, Solitons & Fractals 82: 125–130.CrossrefGoogle Scholar

  • Gauthier, J. P., H. Hammouri, and S. Othman. 1992. “A Simple Observer for Nonlinear Systems Applications to Bioreactors.” IEEE Transactions on Automatic Control 37 (6): 875–880.CrossrefGoogle Scholar

  • Gerardi, M. H. 2003. The Microbiology of Anaerobic Digesters.. New Jersey: Wiley-Interscience.Google Scholar

  • Ghaly, A.E., D.R. Ramkumar, S.S. Sadaka, and J.D. Rochon. 2000. “Effect of Reseeding and pH Control on the Performance of a Two-Stage Mesophilic Anaerobic Digester Operating on Acid Cheese Whey.” Canadian Agricultural Engineering 42 (4): 173–183.Google Scholar

  • HACH 2014. “Chemical Oxygen Demand, Dichromate Method. Method, Reactor Digestion.” HACH DOC316.53.: 10.Google Scholar

  • Hernandez-Martinez, E., H. Puebla, H. O. Mendez-Acosta, and J. Alvarez-Ramirez. 2014. “Fractality in pH Time Series of Continuous Anaerobic Bioreactors for Tequila Vinasses Treatment.” Chemical Engineering Science 109: 17–25.CrossrefGoogle Scholar

  • Holubar, P., L. Zani, M. Hager, W. Fröschl, Z. Radak, and R. Braun. 2003. “Start-Up and Recovery of a Biogas-Reactor Using a Hierarchical Neural Network-Based Control Tool.” Journal of Chemical Technology and Biotechnology 78 (8): 847–854.CrossrefGoogle Scholar

  • Hurst, H. E. 1951. “Long-Term Storage Capacity of Reservoirs.” Transactions of the American Society of Civil Engineers 116: 770–808.Google Scholar

  • Kadlec, P., B. Gabrys, and S. Strandt. 2009. “Data-Driven Soft Sensors in the Process Industry.” Computers & Chemical Engineering 33 (4): 795–814.CrossrefGoogle Scholar

  • Kantz, H., and T. Schreiber. 2004. Nonlinear Time Series Analysis. UK: Cambridge University Press.Google Scholar

  • Latif, M. A., C. M. Mehta, and D. J. Batstone. 2017. “Influence of Low pH on Continuous Anaerobic Digestion of Waste Activated Sludge.” Water Research 113: 42–49.CrossrefGoogle Scholar

  • Lee, D. H., S. K. Behera, JW. Kim, and H. S. Park. 2009. “Methane Production Potential of Leachate Generated from Korean Food Waste Recycling Facilities: A Lab-Scale Study.” Waste Management 29 (2): 876–882.CrossrefGoogle Scholar

  • Lee, S. K., and S. G. Anema. 2009. “The Effect of the pH at Cooking on the Properties of Processed Cheese Spreads Containing Whey Proteins.” Food Chemistry 115 (4): 1373–1380.CrossrefGoogle Scholar

  • Manchala, K. R., Y. Sun, D. Zhang, and Z. W. Wang. 2017. “Anaerobic Digestion Modelling.” In Advances in Bioenergy, vol. 2, 69–141. Amsterdam: Elsevier.Google Scholar

  • Mandelbrot, B. 1982. The Fractal Geometry of Nature. New York, USA: Freeman.Google Scholar

  • Mawson, AJ. 1994. “Bioconversions for Whey Utilization and Waste Abatement.” Bioresource Technology 47 (1): 195–203.CrossrefGoogle Scholar

  • Méndez‐Acosta, H. O., E. Hernandez‐Martinez, J. A. Jáuregui‐Jáuregui, J. Alvarez‐Ramirez, and H. Puebla. 2013. “Monitoring Anaerobic Sequential Batch Reactors via Fractal Analysis of pH Time Series.” Biotechnology and Bioengineering 110 (8): 2131–2139.CrossrefGoogle Scholar

  • Mudrak, K., and S. Kunst. 1986. Biology of Sewage Treatment and Water Pollution Control. Chichester, UK: Ellis Horwood Ltd.Google Scholar

  • Peng, C K., S. Havlin, H. E. Stanley, and A. L. Goldberger. 1995. “Quantification of Scaling Exponents and Crossover Phenomena in Nonstationary Heartbeat Time Series.” Chaos: an Interdisciplinary Journal of Nonlinear Science 5 (1): 82–87.CrossrefGoogle Scholar

  • Prazeres, A.R., F. Carvalho, and J. Rivas. 2012. “Cheese Whey Management: A Review.” Journal of Environmental Management 110: 48–68.CrossrefGoogle Scholar

  • Qdais, H. A., K. B. Hani, and N. Shatnawi. 2010. “Modeling and Optimization of Biogas Production from a Waste Digester Using Artificial Neural Network and Genetic Algorithm.” Resources Conservation and Recycling 54 (6): 359–363.CrossrefGoogle Scholar

  • Rajeshwari, K.V., M. Balakrishnan, A. Kansal, K. Lata, and V.V.N. Kishore. 2000. “State-Of-The-Art of Anaerobic Digestion Technology for Industrial Wastewater Treatment.” Renewable and Sustainable Energy Reviews 4 (2): 135–156.CrossrefGoogle Scholar

  • Rivas, J., A.R. Prazeres, and F. Carvalho. 2011. “Aerobic Biodegradation of Precoagulated Cheese Whey Wastewater.” Journal of Agricultural and Food Chemistry 59 (6): 2511–2517.CrossrefGoogle Scholar

  • Rivera, I., P. Bakonyi, M. A. Cuautle-Marín, and G. Buitrón. 2017. “Evaluation of Various Cheese Whey Treatment Scenarios in Single-Chamber Microbial Electrolysis Cells for Improved Biohydrogen Production.” Chemosphere 174: 253–259.CrossrefGoogle Scholar

  • Rizk, M. C., R. Bergamasco, and C. R. G. Tavares. 2007. “Anaerobic Co-Digestion of Fruit and Vegetable Waste and Sewage Sludge.” International Journal of Chemical Reactor Engineering 5: 1.Google Scholar

  • Robles, A., E. Latrille, J. Ribes, N. Bernet, and J. P. Steyer. 2016. “Electrical Conductivity as a State Indicator for the Start-Up Period of Anaerobic Fixed-Bed Reactors.” Water Science and Technology 73 (9): 2294–2300.CrossrefGoogle Scholar

  • Robles, A., E. Latrille, J. Ribes, and J. P. Steyer. 2013. "Electrical Conductivity as a State Indicator for the Start-Up Period of Anaerobic Fixed-Film Reactors." In Book of abstracts, 11th IWA Conference on Instrumentation Control and Automation-ICA2013.Google Scholar

  • Ruthiya, K. C., V. P. Chilekar, M. J. Warnier, J. van der Schaaf, B. F. Kuster, J. C. Schouten, and J. R. Van-Ommen. 2005. “Detecting Regime Transitions in Slurry Bubble Columns Using Pressure Time Series.” AIChE Journal 51 (7): 1951–1965.CrossrefGoogle Scholar

  • Saddoud, A., I. Hassaïri, and S. Sayadi. 2007. “Anaerobic Membrane Reactor with Phase Separation for the Treatment of Cheese Whey.” Bioresource Technology 98 (11): 2102–2108.CrossrefGoogle Scholar

  • Shao, X., D. Peng, Z. Teng, and X. Ju. 2008. “Treatment of Brewery Wastewater Using Anaerobic Sequencing Batch Reactor (ASBR).” Bioresource Technology 99 (8): 3182–3186.CrossrefGoogle Scholar

  • Soto, M., R. Méndez, and J.M. Lema. 1993. "Methanogenic and non-methanogenic activity tests. Theoretical basis and experimental set up." Water Research 27 (8): 1361–1376.CrossrefGoogle Scholar

  • Srinivasan, B., T. Spinner, and R. Rengaswamy. 2012. “Control Loop Performance Assessment Using Detrended Fluctuation Analysis (DFA).” Automatica 48: 1359–1363.CrossrefGoogle Scholar

  • Torres, P., and A. Perez. 2010. “Actividad metanogénica especÖfica: una herramienta de control y optimizaciÃ3n de sistemas de tratamiento anaerobio de aguas residuales”. IngenierÖa de Recursos Naturales y Del Ambiente 9: 5–14.Google Scholar

  • APHA, AWWA, and WEF. 2002. "Standard Methods for the Examination of Water and Wastewater, 5560C." Distillation Method, 5–61.Google Scholar

  • Venetsaneas, N., G. Antonopoulou, K. Stamatelatou, M. Kornaros, and G. Lyberatos. 2009. “Using Cheese Whey for Hydrogen and Methane Generation in a Two-Stage Continuous Process with Alternative pH Controlling Approaches.” Bioresource Technology 100 (15): 3713–3717.CrossrefGoogle Scholar

  • Ward, A. J., P. J. Hobbs, P. J. Holliman, and D. L. Jones. 2008. “Optimisation of the Anaerobic Digestion of Agricultural Resources.” Bioresource Technology 99 (17): 7928–7940.CrossrefGoogle Scholar

  • Yang, L., Y. Huang, M. Zhao, Z. Huang, H. Miao, Z. Xu, and W. Ruan. 2015. “Enhancing Biogas Generation Performance from Food Wastes by High-Solids Thermophilic Anaerobic Digestion: Effect of pH Adjustment.” International Biodeterioration & Biodegradation 105: 153–159.CrossrefGoogle Scholar

  • Yu, J. 2011. “Nonlinear Bioprocess Monitoring Using Multiway Kernel Localized Fisher Discriminant Analysis.” Industrial & Engineering Chemistry Research 50 (6): 3390–3402.CrossrefGoogle Scholar

  • Yu, J. 2012. “A Bayesian Inference Based Two-Stage Support Vector Regression Framework for Soft Sensor Development in Batch Bioprocesses.” Computers & Chemical Engineering 41: 134–144.CrossrefGoogle Scholar

  • Zaiat, M., J. A. D. Rodrigues, S. M. Ratusznei, E. F. M. De Camargo, and W. Borzani. 2001. “Anaerobic Sequencing Batch Reactors for Wastewater Treatment: A Developing Technology.” Applied Microbiology and Biotechnology 55 (1): 29–35.CrossrefGoogle Scholar

  • Zhang, Q., J. Hu, and D. J. Lee. 2016. “Biogas from Anaerobic Digestion Processes: Research Updates.” Renewable Energy 98: 108–119.CrossrefGoogle Scholar

  • Zúñiga, I.T., A. Vargas, E. Latrille, and G. Buitrón. 2015. “Robust Observation Strategy to Estimate the Substrate Concentration in the Influent of a Fermentative Bioreactor for Hydrogen Production.” Chemical Engineering Science 129: 126–134.CrossrefGoogle Scholar

About the article

Received: 2017-12-29

Accepted: 2018-06-26

Revised: 2018-06-12

Published Online: 2018-07-05


Citation Information: International Journal of Chemical Reactor Engineering, Volume 16, Issue 11, 20170261, ISSN (Online) 1542-6580, DOI: https://doi.org/10.1515/ijcre-2017-0261.

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