Literature DB >> 16949124

Process modeling and analysis of palm oil mill effluent treatment in an up-flow anaerobic sludge fixed film bioreactor using response surface methodology (RSM).

A A L Zinatizadeh1, A R Mohamed, A Z Abdullah, M D Mashitah, M Hasnain Isa, G D Najafpour.   

Abstract

In this study, the interactive effects of feed flow rate (QF) and up-flow velocity (V up) on the performance of an up-flow anaerobic sludge fixed film (UASFF) reactor treating palm oil mill effluent (POME) were investigated. Long-term performance of the UASFF reactor was first examined with raw POME at a hydraulic loading rate (HRT) of 3 d and an influent COD concentration of 44300 mg/l. Extreme reactor instability was observed after 25 d. Raw POME was then chemically pretreated and used as feed. Anaerobic digestion of pretreated POME was modeled and analyzed with two operating variables, i.e. feed flow rate and up-flow velocity. Experiments were conducted based on a central composite face-centered design (CCFD) and analyzed using response surface methodology (RSM). The region of exploration for digestion of the pretreated POME was taken as the area enclosed by the feed flow rate (1.01, 7.63 l/d) and up-flow velocity (0.2, 3 m/h) boundaries. Twelve dependent parameters were either directly measured or calculated as response. These parameters were total COD (TCOD) removal, soluble COD (SCOD) removal, effluent pH, effluent total volatile fatty acid (TVFA), effluent bicarbonate alkalinity (BA), effluent total suspended solids (TSS), CH4 percentage in biogas, methane yield (Y M), specific methanogenic activity (SMA), food-to-sludge ratio (F/M), sludge height in the UASB portion and solid retention time (SRT). The optimum conditions for POME treatment were found to be 2.45 l/d and 0.75 m/h for QF and V up, respectively (corresponding to HRT of 1.5 d and recycle ratio of 23.4:1). The present study provides valuable information about interrelations of quality and process parameters at different values of the operating variables.

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Year:  2006        PMID: 16949124     DOI: 10.1016/j.watres.2006.07.005

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  5 in total

1.  Application of experimental design for the optimization of artificial neural network-based water quality model: a case study of dissolved oxygen prediction.

Authors:  Aleksandra Šiljić Tomić; Davor Antanasijević; Mirjana Ristić; Aleksandra Perić-Grujić; Viktor Pocajt
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-18       Impact factor: 4.223

2.  Medium optimization for the production of anti-cyanobacterial substances by Streptomyces sp. HJC-D1 using response surface methodology.

Authors:  Yun Kong; Pei Zou; Lihong Miao; Jiaoqin Qi; Liming Song; Liang Zhu; Xiangyang Xu
Journal:  Environ Sci Pollut Res Int       Date:  2014-01-25       Impact factor: 4.223

3.  Modeling and optimization of Photocatalytic Decolorization of binary dye solution using graphite electrode modified with Graphene oxide and TiO2.

Authors:  Abdollah Gholami Akerdi; S Hajir Bahrami; Elmira Pajootan
Journal:  J Environ Health Sci Eng       Date:  2020-02-05

4.  Electrocoagulation of palm oil mill effluent.

Authors:  Melissa B Agustin; Waya P Sengpracha; Weerachai Phutdhawong
Journal:  Int J Environ Res Public Health       Date:  2008-09       Impact factor: 3.390

5.  Optimization of the alkaline pretreatment of rice straw for enhanced methane yield.

Authors:  Zilin Song; Gaihe Yang; Xinhui Han; Yongzhong Feng; Guangxin Ren
Journal:  Biomed Res Int       Date:  2012-12-24       Impact factor: 3.411

  5 in total

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