以经济和环境为优化目标的化工过程系统智能工程

This project studies the theory and method on reaction process synthesis with mass-energy cogeneration and mass-heat joint exchange network synthesis. The optimization integration has two objectives economical benefits and environmental impact minimization. With stochastic model and fuzzy reasoning technology, a flexible synthesis method and a fuzzy intellectual system are studied under uncertain conditions. Upon this a set of concepts and methods are achieved to multi-objective chemical large-scale system integration based on mathematical programming and artificial intelligence.A hierarchical optimization method of reaction path synthesis with multi-products mass-closed-cycle is proposed in this project. The first level of optimization model is conducted with the enumeration of overall reactions whose reactive system has one degree of freedom with the generation method of SSR's. After evaluation in terms of thermodynamic feasibility, environmental impact etc. is made, overall reactions which are unachievable on thermodynamics or kinetics while potentially desirable on profit are decomposed by adding immediate chemicals at the second level. In this project a three-distribution-parameter general model for reactor network synthesis is also introduced. The three distribution parameters are side feeding, recycling and bypassing distribution parameters respectively. Based on this general model, the reactor network synthesis problem can be formulated as an optimization problem. By orthogonal collocation on finite element discretization strategy, the original optimization model is transformed into a NLP problem. After optimization, the reactor type with varying maximum mixing to minimum mixing and configuration including series and parallel connection in the reactor network can be directly decided according to the optimal solution of distribution parameters.Moreover, the study on industrial ecology and eco-industrial park is added according to social attention and investigation requirement. And these studies have achieved distinct conceptual, economical and environmental benefits.During this project 105 papers have been published, among which 12 papers are indexed by SCI. There are also several notable achievements in practice.

本课题旨在研究以环境和经济为优化目标的多产品质、能联产反应过程的集成和净化分离过程质量、热量联合交换网络综合的理论和方法，并应用随机模型和模糊逻辑推理技术开发出反映不确定条件影响的化工系统柔性综合的新方法及模糊智能决策支持系统，从而创立一套基于数学规划和人工智能技术的化工大系统多目标过程集成理论和方法。