Hydrodynamics of a modified up-flow anaerobic sludge blanket reactor treating organic fraction of municipal solids waste

Author:

Vian José1,Vigueras-Carmona Sergio E.2,Velasco-Perez Alejandra3,Sánchez-Sánchez Kelvyn B.4,Puebla Hector5

Affiliation:

1. Departamento de Ingeniería en Biotecnología, Universidad Politécnica de Huatusco, Veracruz, Mexico

2. División de Ingeniería Química y Bioquímica, Tecnológico de Estudios Superiores de Ecatepec, Ecatepec, Estado de México, Mexico

3. Facultad de Ciencias Químicas, Universidad Veracruzana, Cordoba-Orizaba, Veracruz, Mexico

4. Departamento de Ingeniería Química, Tecnológico Nacional de México/I.T., Celaya, Guanajuato, Mexico

5. Posgrado en Ingeniería de Procesos, Universidad Autónoma Metropolitana-Azcapotzalco, Ciudad de México, Mexico

Abstract

AbstractThe hydrodynamic of modified up-flow anaerobic sludge blanket (UASB) treating organic fraction of municipal solids wastes (OFMSW) was investigated using tracer test experiments and residence time distribution (RTD) based models. The modified UASB digester employing the up-flow reactor concept was composed of the sludge bed, localized at the bottom of the reactor, a buffer zone above the sludge bed, a section with the OFMSW, and an upper section with a solid–liquid–gas separator. The solid-state section with the OFMSW allows the separation of hydrolytic and methanogenic phases, reducing the acidification of the reactor. The hydraulic flow transports the faster biodegradable fraction from the packing section to the sludge bed, favoring the methane productivity. Residence time distribution curves were analyzed by three tracer test models (axial dispersion model ADM, tanks in series model TIS and a multiple parameter model MPM). The MPM was successfully fitted to the experimental data.

Funder

Universidad Autónoma Metropolitana

Publisher

Walter de Gruyter GmbH

Subject

General Chemical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prediction of wastewater treatment system based on deep learning;Frontiers in Ecology and Evolution;2022-11-11

2. Application of tracer technology in wastewater treatment processes: a review;Chemical Engineering Communications;2021-11-12

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