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Comparison of response surface methods for the optimization of an upflow anaerobic sludge blanket for the treatment of slaughterhouse wastewater
被引:36
|作者:
Chollom, Martha Noro
[1
]
Rathilal, Sudesh
[1
]
Swalaha, Feroz Mohammed
[2
]
Bakare, Babatunde Femi
[3
]
Tetteh, Emmanuel Kweinor
[1
]
机构:
[1] Durban Univ Technol, Fac Engn & Built Environm, Dept Chem Engn, 4001 Berea,70 Mansfield Rd, Berea, South Africa
[2] Durban Univ Technol, Fac Appl Sci, Dept Biotechnol & Food Technol, 4001 Berea,70 Mansfield Rd, Berea, South Africa
[3] Mangosuthu Univ Technol, Fac Engn, Dept Chem Engn, 511 Griffiths Mxenge Hwy, ZA-4031 Durban, South Africa
基金:
新加坡国家研究基金会;
关键词:
Anaerobic digestion;
Biogas;
Design expert;
Optimization;
Response surface methodology;
Slaughterhouse wastewater;
UASB REACTOR;
REMOVAL;
RSM;
PERFORMANCE;
D O I:
10.4491/eer.2018.366
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
This study was aimed at using the Central Composite Design (CCD) and Box-Behnken Design (BBD) to compare the efficiency and to elucidate the main interacting parameters in the upflow anaerobic sludge blanket (UASB) reactor, namely: Organic Loading Rate (OLR), Hydraulic Retention Times (HRT) and pH at a constant temperature of 35 degrees C. Optimum HRT (15 h), OLR (3.5 kg.m(-3).d(-1)) and pH (7) resulted in biogas production of 5,800 mL/d and COD removal of 80.8%. BBD produced a higher desirability efficiency of 94% as compared to the CCD which was 92%. The regression quadratic models developed with high R-2 values of 0.961 and 0.978 for both CCD and BBD, respectively, demonstrated that the interaction models could be used to pilot the design space. BBD model developed was more reliable with a higher prediction of biogas production (5,955.4 +/- 225.3 mL/d) and COD removal (81.5 +/- 1.014%), much dose to the experimental results at a 95% confidence level. CCD model predictions was greater in terms of COD removal (82.6 +/- 1.06% > 80.8%) and biogas production (4,636.31 mL/d +/- 439.81 < 5,800 mL/d) which was less than the experimental results. Therefore, RSM can be adapted for optimizing various wastewater treatment processes.
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页码:114 / 122
页数:9
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