449
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Method to obtain parameters k2, k3 for dilution rate observer in AM2 model of the anaerobic digestion process in a batch reactor

ORCID Icon, ORCID Icon & ORCID Icon
Pages 3110-3123 | Received 13 Jul 2023, Accepted 23 Jan 2024, Published online: 15 Feb 2024

References

  • Abdelhani, C., and S. Samia 2022. Identification of the AM2HN model parameters in the context of organic matter recycling. 2022 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022 367–72. 10.1109/SSD54932.2022.9955922.
  • Acosta-Pavas, J. C., C. E. Robles-Rodríguez, J. Morchain, C. Dumas, A. Cockx, and C. A. Aceves-Lara. 2023. Dynamic modeling of biological methanation for different reactor configurations: An extension of the anaerobic digestion model No. 1. Fuel 344 (March):128106. doi:10.1016/j.fuel.2023.128106.
  • APHA-AWWA-WPCF. 2017. Standard methods for the examination of water and wastewater. 23rd ed. Washington, DC: American Public Health Association.
  • Arshad, M., A. R. Ansari, R. Qadir, M. H. Tahir, A. Nadeem, T. Mehmood, H. Alhumade, and N. Khan. 2022. Green electricity generation from biogas of cattle manure: An assessment of potential and feasibility in Pakistan. Frontiers in Energy Research 10 (August):1–10. doi:10.3389/fenrg.2022.911485.
  • Bastin, G., and D. Dochain. 1991. Online estimation and adaptive control of bioreactors. Analytica Chimica Acta 243:324. doi:10.1016/s0003-2670(00)82585-4.
  • Bolzonella, D., D. Bertasini, R. Lo Coco, M. Menini, F. Rizzioli, A. Zuliani, F. Battista, N. Frison, A. Jelic, and G. Pesante. 2023. Toward the Transition of Agricultural Anaerobic Digesters into Multiproduct Biorefineries. Processes 11 (2):415. doi:10.3390/pr11020415.
  • Chorukova, E., V. Hubenov, Y., Gocheva, and I. Simeonov. 2022. Two-phase Anaerobic Digestion of Corn Steep Liquor in Pilot scale biogas plant with automatic control system with Simultaneous Hydrogen and methane production. Applied Sciences 12 (12):6274.
  • Dekhici, B., B. Benyahia, B. Cherki, B. Dekhici, B. Benyahia, B. Cherki, and D. Mode. 2022. Dynamic mode decomposition with control for data-driven modeling of anaerobic digestion process to cite this version: HAL Id: Hal-03696038 dynamic mode decomposition with control for data-driven modeling of.
  • Dittmer, C., J. Krümpel, and A. Lemmer. 2021. Modeling and simulation of biogas production in full scale with time series analysis. Microorganisms 9 (2):1–10. doi:10.3390/microorganisms9020324.
  • Draa, K. C., H. Voos, M. Alma, and M. Darouach 2015. Linearizing control of biogas flow rate and quality. IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2015 (October 3): 1–4. 10.1109/ETFA.2015.7301556.
  • Draa, K. C., H. Voos, M. Alma, A. Zemouche, K. C. Draa, H. Voos, M. Alma, A. Zemouche, and M. D. Observer. 2018. Observer-based trajectory tracking for anaerobic digestion process mohamed darouach to cite this version: HAL Id: Hal-01683627 observer-based trajectory tracking for anaerobic digestion process.
  • DuBois, M., K. A. Gilles, J. K. Hamilton, P. A. Rebers, and F. Smith. 1956. Colorimetric method for determination of sugars and related substances. Analytica Chimica Acta 28 (3):350–56. doi:10.1021/ac60111a017.
  • Ficara, E., S., Hassam, A., Allegrini, A., Leva, F., Malpei, and G. Ferretti. 2012. Anaerobic digestion models: a comparative study. IFAC Proceedings Volumes 45 (2):1052–57.
  • Gavala, H. N., I. Angelidaki, and B. K. Ahring. 2003. Kinetics and modeling of anaerobic digestion process. Advances in Biochemical Engineering/biotechnology 81:57–93. doi:10.1007/3-540-45839-5_3.
  • Hajji, A., M. Rhachi, M. Garoum, and N. Laaroussi 2016. The effects of pH, temperature and agitation on biogas production under mesophilic regime. 2016 3rd International Conference on Renewable Energies for Developing Countries, REDEC2016:1–4. 10.1109/REDEC.2016.7577510.
  • Kabeyi, M. J. B., and O. A. Olanrewaju. 2022. Technologies for biogas to electricity conversion. Energy Reports 8:774–86. doi:10.1016/j.egyr.2022.11.007.
  • Kalyuzhnyi, S. V., D. J. Batstone, V. A. Vavilin, S. G. Pavlostathis, H. Siegrist, W. T. M. Sanders, A. Rozzi, I. Angelidaki, and J. Keller. 2002. The IWA Anaerobic Digestion Model No 1 (ADM1). Water Science and Technology 45 (10):65–73. doi:10.2166/wst.2002.0292.
  • Lara-Cisneros, G., and D. Dochain 2018. Online estimation of the VFA concentration in anaerobic digestion processes based on a super-twisting observer. 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018:545–49. 10.1109/CoDIT.2018.8394870.
  • Liu, X., A. Coutu, S. Mottelet, A. Pauss, and T. Ribeiro. 2023. Overview of numerical simulation of solid-state anaerobic digestion considering hydrodynamic behaviors, phenomena of transfer, biochemical kinetics and statistical approaches. Energies 16 (3):1108. doi:https://doi.org/10.3390/en16031108.
  • Manjusha, C., and B. S. Beevi. 2016. Mathematical modeling and simulation of anaerobic digestion of solid waste. Procedia Technology 24:654–60. doi:10.1016/j.protcy.2016.05.174.
  • Méndez-Acosta, H. O., A. Campos-Rodríguez, V. González-Álvarez, J. P. García-Sandoval, R. Snell-Castro, and E. Latrille. 2016. A hybrid cascade control scheme for the VGA and COD regulation in two-stage anaerobic digestion processes. Bioresource Technology 218:1195–202. doi:10.1016/j.biortech.2016.07.076.
  • Mo, R., W. Guo, D. Batstone, J. Makinia, and Y. Li. 2023. Modifications to the anaerobic digestion model no. 1 (ADM1) for enhanced understanding and application of the anaerobic treatment processes – a comprehensive review. Water Research 244 (May):120504. doi:10.1016/j.watres.2023.120504.
  • Olatunji, K. O., D. M. Madyira, and O. Adeleke. 2023. Optimizing anaerobic co-digestion of xyris capensis and duck waste using neuro-fuzzy model and response surface methodology. Fuel 354 (June):129334. doi:10.1016/j.fuel.2023.129334.
  • Pan, N., H., Wang, Y., Tian, E., Chorukova, I., Simeonov, and N. Christov. 2022. Comparison study of dynamic models for One-stage and two-stage anaerobic digestion processes. IFAC-Papersonline 55 (7):667–72. doi:10.1016/j.ifacol.2022.07.520.
  • Rodríguez-Mata, A. E., E. Gómez-Vidal, C. A. Lucho-Constantino, J. A. Medrano-Hermosillo, R. Baray-Arana, and P. A. López-Pérez. 2023. State estimation in a biodigester via nonlinear logistic observer: Theoretical and simulation approach. Processes 11 (4):1–17. doi:10.3390/pr11041234.
  • Salamanca-Valdivia, M. A., L. Cardenas-Herrera, J. E. Barreda-Del-Carpio, G. M. Moscoso-Apaza, R. E. Garate-De-Davila, and C. A. Munive-Talavera 2021. Production of biogas in a dry anaerobic digestion reactor of residues generated in the processing of sheep and alpaca wool. 10th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2021:152–54. 10.1109/ICRERA52334.2021.9598668.
  • Salgado, J. A. A. (2019). Modeling and simulation of biogas production based on anaerobic digestion of energy crops and manure. Master Thesis.
  • Stinga, F., E., Petre, and M. Marian. 2017. Multiple predictive control of an anaerobic digestion process of microalgae. In 21st International Conference on System Theory, Control and Computing (ICSTCC). IEEE. 384–89. doi:10.1109/ICSTCC.2017.8107064.
  • Sun, H., Z. Yang, G. Liu, Y. Zhang, Y. W. Tong, and W. Wang. 2023. Double-edged effect of tar on anaerobic digestion: Equivalent method and modeling investigation. Energy 277 (May):127738. doi:10.1016/j.energy.2023.127738.
  • Tawai, A., M. Sriariyanun, and P. L. Gentili. 2022. Nonlinear Optimization-Based Robust Control Approach for a Two-Stage Anaerobic Digestion Process. Journal of Chemistry 2022:1–18. doi:10.1155/2022/8966350.