Steady-state simulators are usually applied for design, techno-economic analysis and optimization of industrial processes. However, sometimes dynamic systems are important parts of the process, which cannot be disregarded. Coupling a dynamic model within a full-plant for steady-state simulation is a challenging task, whatever might be the simulator concept, either sequential or equation-oriented. An alternative to solve this problem is the use of surrogate models to substitute specific dynamic models, by taking the variable time as an extra input of the meta-model. This methodology was applied in an equation-oriented simulator (EMSO) by the use of Kriging meta-models. A case study involving the production of bioethanol from sugarcane was used to demonstrate the capability of this approach. A Kriging meta-model used to substitute the kinetic model of an enzymatic hydrolysis reactor was conjugated into the global plant simulation and an optimization problem was successfully solved.

稳态模拟器通常用于设计，技术经济分析和工业过程的优化。但是，有时动态系统是过程的重要组成部分，不可忽视。无论仿真器的概念是连续的还是以方程式为基础的，耦合整个工厂中的动态模型以进行稳态仿真都是一项艰巨的任务。解决此问题的另一种方法是使用替代模型来代替特定的动态模型，方法是将可变时间作为元模型的额外输入。通过使用Kriging元模型，此方法已应用于面向方程式的模拟器（EMSO）中。案例研究涉及从甘蔗生产生物乙醇，以证明这种方法的能力。