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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.2
- 수록면
- 114 - 122 (9page)
이용수
초록· 키워드
오류제보하기
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°C. Optimum HRT (15 h), OLR (3.5 kg.m<SUP>-3</SUP>.d<SUP>-1</SUP>) 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 R² 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 close 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.
목차
ABSTRACT
1. Introduction
2. Materials and Methods
3. Results and Discussion
4. Conclusions
References
참고문헌 (19)
참고문헌 신청
Tetteh EK, Rathilal S, Chollom MN. Treatment of industrial mineral oil wastewater-optimisation of coagulation flotation process using response surface methodology (RSM). Int. J. Appl. Eng. Res. 2017;12:13084-13091.
Dasgupta J, Sikder J, Chakraborty S, Curcio S, Drioli E. Remediation of textile effluents by membrane based treatment techniques: A state of the art review. J. Environ. Manage. 2015;147:55-72.
Bezerra MA, Santelli RE, Oliveira EP, Villar LS, Escaleira LA. Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta 2008;76:965-977.
Ibrahim S, Wahab NA, Anuar AN, Bob M. Parameter optimisation of aerobic granular sludge at high temperature using response surface methodology. Int. J. Electr. Comput. Eng. 2017;7:1522-1529.
Najib T, Solgi M, Farazmand A, Heydarian SM, Nasernejad B. Optimization of sulfate removal by sulfate reducing bacteria using response surface methodology and heavy metal removal in a sulfidogenic UASB reactor. J. Environ. Chem. Eng. 2017;5:3256-3265.
Dasgupta J, Sikder J, Chakraborty S, Curcio S, Drioli E. Remediation of textile effluents by membrane based treatment techniques: A state of the art review. J. Environ. Manage. 2015;147:55-72.
Bezerra MA, Santelli RE, Oliveira EP, Villar LS, Escaleira LA. Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta 2008;76:965-977.
Ibrahim S, Wahab NA, Anuar AN, Bob M. Parameter optimisation of aerobic granular sludge at high temperature using response surface methodology. Int. J. Electr. Comput. Eng. 2017;7:1522-1529.
Najib T, Solgi M, Farazmand A, Heydarian SM, Nasernejad B. Optimization of sulfate removal by sulfate reducing bacteria using response surface methodology and heavy metal removal in a sulfidogenic UASB reactor. J. Environ. Chem. Eng. 2017;5:3256-3265.
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UCI(KEPA) : I410-ECN-0101-2019-539-000920493