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Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology

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Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology. / Olaniyan, B; Saha, B.
In: Energies, Vol. 13, No. 3, 741, 08.02.2020.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Olaniyan, B & Saha, B 2020, 'Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology', Energies, vol. 13, no. 3, 741. https://doi.org/10.3390/en13030741

APA

Olaniyan, B., & Saha, B. (2020). Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology. Energies, 13(3), Article 741. https://doi.org/10.3390/en13030741

Vancouver

Olaniyan B, Saha B. Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology. Energies. 2020 Feb 8;13(3):741. doi: 10.3390/en13030741

Author

Olaniyan, B ; Saha, B. / Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology. In: Energies. 2020 ; Vol. 13, No. 3.

Bibtex

@article{e0451f510acb4596b3a5b8e4d08e4321,
title = "Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology",
abstract = "In this paper, a statistical analysis with response surface methodology (RSM) has been used to investigate and optimize process variables for the greener synthesis of chloromethyl ethylene carbonate (CMEC) by carbon dioxide (CO2) and epichlorohydrin (ECH). Using the design expert software, a quadratic model was developed to study the interactions effect between four independent variables and the reaction responses. The adequacy of the model was validated by correlation between the experimental and predicted values of the responses using an analysis of variance (ANOVA) method. The proposed Box-Behnken design (BBD) method suggested 29 runs for data acquisition and modelling the response surface. The optimum reaction conditions of 353 K, 11 bar CO2 pressure, and 12 h using fresh 12% (w/w) Zr/ZIF-8 catalyst loading produced 93% conversion of ECH and 68% yield of CMEC. It was concluded that the predicted and experimental values are in excellent agreement with ±1.55% and ±1.54% relative errors from experimental results for both the conversion of ECH and CMEC yield, respectively. Therefore, statistical modelling using RSM can be used as a reliable prediction technique for system optimization for greener synthesis of chloromethyl ethylene carbonate via CO2 utilization.",
author = "B Olaniyan and B Saha",
year = "2020",
month = feb,
day = "8",
doi = "10.3390/en13030741",
language = "English",
volume = "13",
journal = "Energies",
issn = "1996-1073",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",

}

RIS

TY - JOUR

T1 - Multiobjective optimization for the greener synthesis of chloromethyl ethylene carbonate by CO2 and epichlorohydrin via response surface methodology

AU - Olaniyan, B

AU - Saha, B

PY - 2020/2/8

Y1 - 2020/2/8

N2 - In this paper, a statistical analysis with response surface methodology (RSM) has been used to investigate and optimize process variables for the greener synthesis of chloromethyl ethylene carbonate (CMEC) by carbon dioxide (CO2) and epichlorohydrin (ECH). Using the design expert software, a quadratic model was developed to study the interactions effect between four independent variables and the reaction responses. The adequacy of the model was validated by correlation between the experimental and predicted values of the responses using an analysis of variance (ANOVA) method. The proposed Box-Behnken design (BBD) method suggested 29 runs for data acquisition and modelling the response surface. The optimum reaction conditions of 353 K, 11 bar CO2 pressure, and 12 h using fresh 12% (w/w) Zr/ZIF-8 catalyst loading produced 93% conversion of ECH and 68% yield of CMEC. It was concluded that the predicted and experimental values are in excellent agreement with ±1.55% and ±1.54% relative errors from experimental results for both the conversion of ECH and CMEC yield, respectively. Therefore, statistical modelling using RSM can be used as a reliable prediction technique for system optimization for greener synthesis of chloromethyl ethylene carbonate via CO2 utilization.

AB - In this paper, a statistical analysis with response surface methodology (RSM) has been used to investigate and optimize process variables for the greener synthesis of chloromethyl ethylene carbonate (CMEC) by carbon dioxide (CO2) and epichlorohydrin (ECH). Using the design expert software, a quadratic model was developed to study the interactions effect between four independent variables and the reaction responses. The adequacy of the model was validated by correlation between the experimental and predicted values of the responses using an analysis of variance (ANOVA) method. The proposed Box-Behnken design (BBD) method suggested 29 runs for data acquisition and modelling the response surface. The optimum reaction conditions of 353 K, 11 bar CO2 pressure, and 12 h using fresh 12% (w/w) Zr/ZIF-8 catalyst loading produced 93% conversion of ECH and 68% yield of CMEC. It was concluded that the predicted and experimental values are in excellent agreement with ±1.55% and ±1.54% relative errors from experimental results for both the conversion of ECH and CMEC yield, respectively. Therefore, statistical modelling using RSM can be used as a reliable prediction technique for system optimization for greener synthesis of chloromethyl ethylene carbonate via CO2 utilization.

U2 - 10.3390/en13030741

DO - 10.3390/en13030741

M3 - Journal article

VL - 13

JO - Energies

JF - Energies

SN - 1996-1073

IS - 3

M1 - 741

ER -