The Journal of Supercritical Fluids ( IF 3.9 ) Pub Date : 2021-01-02 , DOI: 10.1016/j.supflu.2020.105160 E. Torres-Ramón , C.M. García-Rodríguez , K.H. Estévez-Sánchez , I.I. Ruiz-López , G.C. Rodríguez-Jimenes , G. Romero de la Vega , M.A. García-Alvarado
Supercritical fluid extraction (SFE) with CO2 as solvent has demonstrated to be friendlier with the environment than traditional extraction processes and technically feasible. However, the required CO2 thermodynamic cycles at high pressures (in critical point surroundings) demand high energy consumption. Therefore, in this research a rigorous economic and thermic optimization for coconut oil SFE was proposed. A novel combination of CO2 empirical state equations, equilibrium and mass transfer models (expressed as ordinary differential equations) of coconut oil SFE were synthesized with raw material and manufacture costs in an optimization problem. The unitary cost of the extracted coconut oil was defined as target function for minimization, with productivity and yield as constrains. The optimal results provide the low cycle temperature, CO2 flow, the extraction vessel volume and the extraction time, that minimize the target variable and satisfy constrains.
中文翻译:
考虑经济和热变量优化超临界CO 2椰子油提取工艺
与传统的萃取工艺相比,以CO 2为溶剂的超临界流体萃取(SFE)已证明对环境友好,并且在技术上可行。但是,在高压下(在临界点环境中)所需的CO 2热力学循环要求高能耗。因此,在这项研究中,对椰子油SFE进行了严格的经济和热优化。CO 2的新颖组合在优化问题中,结合原料和制造成本,合成了椰子油SFE的经验状态方程,平衡和传质模型(表示为常微分方程)。将提取的椰子油的单位成本定义为最小化的目标函数,以生产率和产量为约束。最佳结果可提供低循环温度,CO 2流量,萃取容器体积和萃取时间,从而将目标变量减至最小并满足约束条件。