Piguave Bryan V, Salas Santiago D, De Cecchis Dany, Romagnoli José A
Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ciencias Naturales y Matemáticas, Campus Gustavo Galindo Km. 30.5 Vía Perimetral, P.O. Box 09-01-5863, Guayaquil 09015863, Ecuador.
Department of Chemical Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States.
ACS Omega. 2022 Apr 2;7(14):11696-11709. doi: 10.1021/acsomega.1c06669. eCollection 2022 Apr 12.
A framework to obtain optimal operating conditions is proposed for a cryogenic air separation unit case study. The optimization problem is formulated considering three objective functions, 11 decision variables, and two constraint setups. Different optimization algorithms simultaneously evaluate the conflicting objective functions: the annualized cash flow, the efficiency at the compression stage, and capital expenditures. The framework follows a modular approach, in which the process simulator PRO/II and a Python environment are combined. The results permit us to assess the applicability of the tested algorithms and to determine optimal operational windows based on the resultant 3-D Pareto fronts.
针对低温空气分离装置案例研究，提出了一种获取最佳运行条件的框架。该优化问题的制定考虑了三个目标函数、11个决策变量和两种约束设置。不同的优化算法同时评估相互冲突的目标函数：年化现金流、压缩阶段的效率和资本支出。该框架采用模块化方法，将过程模拟器PRO/II和Python环境结合起来。结果使我们能够评估所测试算法的适用性，并根据所得的三维帕累托前沿确定最佳运行窗口。
