Departamento de Ingeniería Química, Universidad Nacional del Sur (UNS), Planta Piloto de Ingeniería Química - PLAPIQUI (UNS-CONICET), Bahía Blanca, Argentina.
Departamento de Ingeniería Química, Universidad Nacional del Sur (UNS), Planta Piloto de Ingeniería Química - PLAPIQUI (UNS-CONICET), Bahía Blanca, Argentina.
Bioresour Technol. 2019 Oct;289:121699. doi: 10.1016/j.biortech.2019.121699. Epub 2019 Jun 25.
In this work, we propose a Mixed Integer Nonlinear Programming (MINLP) model to determine the optimal design of a poly(hydroxyalkanoate)s (PHAs) production plant configuration. The superstructure based optimization model considers different carbon sources as raw material: glycerol (crude and purified), corn starch, cassava starch, sugarcane sucrose and sugarcane molasses. The PHA extraction section includes four alternatives: the use of enzyme, solvent, surfactant-NaOCl or surfactant-chelate. Model constraints include detailed capital cost for equipment, mass and energy balances, product specifications and operating bounds on process units. The resulting MINLP model maximizes the project net present value (NPV) as objective function and it is implemented in an equation oriented environment. Optimization results show the sugarcane-enzyme option as the most promising alternative (NPV = 75.01 million USD) for PHAs production with an energy consumption of 22.56 MJ/kg PHA and a production cost of 3.02 USD/kg PHA. Furthermore, an economic sensitivity analysis is performed.
在这项工作中，我们提出了一个混合整数非线性规划 (MINLP) 模型，以确定聚羟基烷酸酯 (PHA) 生产厂配置的最佳设计。基于超结构的优化模型考虑了不同的碳源作为原料：甘油（粗制和精制）、玉米淀粉、木薯淀粉、甘蔗蔗糖和甘蔗糖蜜。PHA 提取部分包括四种选择：使用酶、溶剂、表面活性剂-NaOCl 或表面活性剂-螯合剂。模型约束包括设备的详细资本成本、质量和能量平衡、产品规格以及工艺单元的操作范围。所得的 MINLP 模型将项目净现值 (NPV) 作为目标函数最大化，并在面向方程的环境中实现。优化结果表明，对于 PHA 生产，甘蔗-酶选项是最有前途的选择 (NPV=75.01 百万美元)，能量消耗为 22.56 MJ/kg PHA，生产成本为 3.02 美元/kg PHA。此外，还进行了经济敏感性分析。
