Design for the Operability and Controllability of Chemical Processes

在大多数化工过程设计中，设计者首先分析 使用近似模型的简单结构。 随着设计的逐渐 进化，更详细的模型被用来解释更复杂的 交互作用可以使一个设计的成功。 这些复杂的现象往往是一个新的设计， 更有效的潜力;例如，更多的能源或更多的成本 高效. 然而，更复杂的相互作用的模型通常具有 更丰富的解决方案空间;也就是说，他们展示了更多的解决方案，为给定的 一套规格。 解的数目和稳定性各不相同 与规格和模型的参数。 在 过程设计，当算法收敛于 物理上不正确的解决方案。 在设计阶段， 实验数据往往是不可用的，设计者可以继续 基于一个错误的解决方案。 主要研究者建议创建一个原型软件 环境，允许实验与控制的设计 复杂系统的结构。 PI将开发新技术， 解决稳态和动态仿真问题，以证明 这些技术在化学过程设计中的实用性。 重点将放在分析和算法的方法， 使设计过程合理化。

In most chemical process designs, the designer begins by analyzing simple structures using approximate models. Gradually as the design evolves, more detailed models are used to explain more complex interactions which can make the difference in the success of a design. These complex phenomena are often the reason that a new design has the potential to be more effective; for example, more energy or more cost efficient. However, models of more complex interactions usually have a richer solution space; that is, they exhibit more solutions for a given set of specifications. The number and stability of the solutions varies with the specifications and with the parameters of the model. In process design, problems can arise when algorithms converge on a solution that is not physically correct. In the design stage, experimental data often are not available and the designer may continue to work based on a wrong solution. The Principal Investigator proposes to create a prototype software environment to permit experimentation with the design of control structures for complex systems. The PI will develop new techniques for solving both steady state and dynamic simulation problems to demonstrate the utility of these techniques in the design of chemical processes. Emphasis will be placed on the analytical and algorithmic methods that rationalize the design process.