Multiobjective Optimization for the Greener Synthesis of Chloromethyl Ethylene Carbonate by CO2 and Epichlorohydrin via Response Surface Methodology

Energies

Bisi Olaniyan¹  Basudeb Saha¹ 

[1] School of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UK;

关键词: ech;    epichlorohydrin;    cmec;    chloromethyl ethylene carbonate;    co₂;    carbon dioxide;    mof;    metal organic framework;    zif-8;    zeolitic imidazolate framework;    zr/zif-8;    zirconium/zeolitic imidazolate framework;    rsm;    response surface methodology optimization;   

DOI  :  10.3390/en13030741

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown