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Tytuł artykułu

Mathematical and neural network modelling of a wastewater treatment plant

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A comparison of a few methodologies of building models useful in wastewater treatment plant maintenance is performed. One is mathematical modelling of the activated sludge process. It consists of modelling of the basic vessels: primary clarifiers, aerator basins and secondary clarifiers, linked and partially looped, as well as equations describing the physical and biochemical transformations going on in the vessels: sedimentation in the clarifiers and biological processes changing the influent wastewater chemical composition. The models' parameters were estimated in two steps. In the first step the active volumes of the vessels were estimated from the experiment performed in the plant. In the second step, parameters known from the literature were used as the initial guess and then calibrated to fit the observations taken during normal plant operation. Concerning other methodologies, results from the black box modelling of the performance of the plant with the neural network are given. The neural network and the time series models are also applied for prediction of the influent wastewater.
Rocznik
Strony
89--118
Opis fizyczny
Bibliogr. 36 poz., rys., tab., wzory
Twórcy
autor
  • Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01 447 Warszawa, Poland
  • Agricultural University, Institute of Building and Landscape Architecture, Dicksteina 3, 51-617 Wrocław
autor
  • Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01 447 Warszawa, Poland
  • Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01 447 Warszawa, Poland
autor
  • Wrocław Technical University, Institute of Environment Protection Engineering, Pl. Grunwaldzki 9, 50-377 Wrocław
Bibliografia
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  • [6] L. Bogdan, J. Łomotowski, Z. Nahorski, J. Studziński, and R. Szetela: Mathematical model and its calibration for Rzeszów wastewater treatment plant. Environment Protection Engineering, 24 (1998), 95-1 12.
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  • [9] J. Carstensen: Identification of wastewater processes. PhD Thesis. IMSOR, Technical University of Denmark, Lyngby, 1994.
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  • [11] D. Cuillard and S. Zhu: Control strategy for the activated sludge process under shock loading. Water Research, 26 (1992), 649-655.
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  • [19] M. Hiraoka M. K. Tsumura, I. Fujitsa and T. Kanaya: System identification and control of activated sludge process by use of autoregressive model. In Briggs R. (Ed.) Instrumentation, Control and Automation of Water and Wastewater Treatment and Transportation Systems. Advances in Water Pollution Control, IAW PRC, Pergamon Press, (1990), 121-128.
  • [20] A. Holmberg: On the practical identifiability of microbial growth model incorporating Michaelis Menten type nonlinearities. Math. Biosciences, 62 (1982), 23-43.
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  • [22] U. Jeppsson and G. Olsson: Reduced order models for on-line parameter identification of the activated sludge process. In Jank B. (Ed.) Proc. 6th IAWQ Workshop on Instrumentation, Control and Automation of Water & Wastewater Treatment and Transportation Systems, IAWQ, Berlington, (1993).
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  • [25] Z. Nahorski: Planowanie eksperymentu dla identyfikacji modeli elementów hydraulicznych w oczyszczalni ścieków w Rzeszowie. Raport 19/9/S-10/96. IBS PAN, Warszawa, 1994, (in Polish).
  • [26] A. J. Niemi: Variable parameter model of the continuous (low vessel. Mathl. Camp. Modelling, 11 (1988), 32-37.
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  • [32] R. Szetela: Model dynamiczny oczyszczalni ścieków z osadem czynnym. Prace Naukowe Inst. Inż. Ochrony Środow. Polit. Wrocławskiej 64 Seria: Monografie 32, 1990, (in Polish).
  • [33] R. Szetela: Wstępna kalibracja modelu symulacyjnego WTPD dla oczyszczalni ścieków w Rzeszowie. Raport 22/2/S 17/97, Systems Research Institute, Polish Academy of Sciences. Warsaw, 1997, (in Polish).
  • [34] O. Wanner, J. Kappeler and W. Gujer: Calibration of an activated sludge model based on human expertise and on a mathematical optimization technique A comparison. Water Science and Technology. 25 (1992), 141-148.
  • [35] S. Watanabe, K. Baba, M. Yoda, W. Wu, I. Enbutsu, M. Hiraoka and T. Tsumura: Intelligent operation support system for activated sludge process. In Jank B. (Ed.) 6th IAWQ Workshop on Instrumentation. Control and Automation of Water & Wastewater Treatment and Transportation Systems. IAWQ. Berlinglon, (1993), 171-180.
  • [36] M. C. Wentzel, G. A. Ekama and G. R. Marais: Processes and modelling of nitrification denitrification biological excess phosphorus removal systems - a review. Water Science and Technology, 25 (1992), 59.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW9-0005-0896
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