A simultaneous dynamic optimization approach for natural gas processing plants

• Autores: Laiglecia, Juan Ignacio; Lopez Negrete, Rodrigo; Díaz, María Soledad; Biegler, Lorentz
• Año de publicación: 2012
• Idioma: inglés
• Tipo de recurso: documento de conferencia
• Materia: Ingeniería, Ciencia y Tecnología; Simultaneous Dynamic Optimization; Heat Exchanger With Phase Change; Natural Gas Plant; Ingeniería, Ciencia y Tecnología
• Institución: Universidad Nacional de Río Negro

Fil: Laiglecia, Juan Ignacio. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química (PLAPIQUI), CONICET. Bahía Blanca, Argentina
Fil: Lopez Negrete, Rodrigo. Department of Chemical Engineering, Carnegie Mellon University Pittsburgh. Pensilvania.
Fil: Díaz, María Soleda. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química (PLAPIQUI), CONICET. Bahía Blanca, Argentina
Fil: Biegler, Lorentz. Department of Chemical Engineering, Carnegie Mellon University Pittsburgh. Pensilvania.
In this work we address dynamic optimization of natural gas processing plants through the use first principle models and full discretization of both control and state variables. The optimization problem includes rigorous models for cryogenic countercurrent heat exchangers with partial phase change, separation tanks, distillation columns and turboexpanders. Thermodynamic predictions are made with a cubic equation of state. The partial differential algebraic equation system is transformed into ordinary differential-algebraic equations (DAEs) by applying the method of Lines for the spatial coordinate in cryogenic heat exchangers. The resulting optimization problem is formulated and solved by applying orthogonal collocation on finite elements, and the large-scale Nonlinear Programming (NLP) problem is olved with a Newton-based Interior Point method. The objective is to switch between operating modes to minimize the offset between current ethane recovery and a set point value. Numerical results provide temporal and spatial profiles of controlled and manipulated variables, while fulfilling specific path constraints associated to ethane extraction processes. In particular, the tight integration between process units as well as path constraints has been efficiently handled with low computational time.