Kinetic Modeling of Methane Production from the Anaerobic Digestion of Wastewater Sludge from a Treatment Plant in Kenitra, Morocco

• Autorzy: Lihi Khadija , Auajjar Nabila , Nizar Youness , Attarassi Benaissa

Identyfikatory

DOI

10.12912/27197050/154915

• Języki publikacji: EN

Abstrakty

EN

It is necessary to understand the process of anaerobic digestion (AD) of sewage sludge and to find an adequate strategy to improve the efficiency of methane production. In this work, the production of methane and detailed properties of sludge are determined. The physico-chemical parameters of the digester 1 'D1' and the digester 2 'D2' remain in the optimal range of AD stability with a median value of pH (7.82; 7.93); Temperature (36.70; 37.10°C); alkalinity (3.52; 3.58 g/L); and volatile fatty acids (0.47; 0.52 g/L), respectively. This paper focuses on the performance optimization of the methane production by kinetic models of two continuous digesters in a wastewater treatment plant in Kenitra City, Morocco. Mathematical models used in anaerobic digestion are: Modified Gompertz, transference functions, and logistics functions. These kinetic models have benefitted experimental methane production for both digesters. Results show that all the models used are appropriate to optimize the kinetic parameters for producing methane, showing that the transference function is the most suitable model for predicting kinetic results.

Słowa kluczowe

EN

wastewater treatment plant; anaerobic digestion; sewage sludge; methane production; kinetics modeling

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 1
• Strony: 165--174
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Lihi Khadija

• Laboratory of Biology and Health, Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco

• https://orcid.org/0000-0002-8771-609X

autor

Auajjar Nabila

• Laboratory of Biology and Health, Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco

• https://orcid.org/0000-0003-1516-7623

autor

Nizar Youness

• Laboratory of Electronic Systems, Information Processing, Mechanics and Energy, Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco

• https://orcid.org/0000-0002-4889-3392

autor

Attarassi Benaissa

• Laboratory of Biology and Health, Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco

• https://orcid.org/0000-0002-3546-1072

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).