(239a) Hierarchical Analysis of Chemical Process System:Modeling and Optimization of Large-Scale System
AIChE Annual Meeting
2005
2005 Annual Meeting
Computing and Systems Technology Division
Poster Session: Recent Developments in Applied Mathematics and Numerical Analysis
Tuesday, November 1, 2005 - 3:00pm to 6:00pm
Abstract
The complexity of chemical process systems and related spatial systems is familiar to all those practicing in this field. This complexity is inherent in the nature of the chemical process system problems, the multi-objective attributes of chemical process systems problems and the interactive coupling within chemical process networks, including raw materials and human resources as related to their quantity and quality. The complexity is also due to the difficulties of retrieving, transmitting, processing and analyzing data and to those aspects of decision-making process such as the institutional, political, and economic aspects as well as the technical, environmental and social impacts. The multiple goals of different parts of the overall system is inevitable and inescapable and it should be quantitatively analyzed. This fact will drive all those practicing in this field to adopt systems methodologies that are amenable to modeling, analyzing and optimizing these complex systems. Many applications of system engineering methodologies to large-scale chemical process system are adopted here. In particular, the applications of the hierarchical-multi level approach to large-scale and complex chemical process systems are discussed. The resulting system approach in chemical processing development requires the optimal use of innovative research results from different professional discipline in university and industry and the cooperation between the user, government and chemical processing system constructors as well.
Keywords: Multi-objective Attribute; System Approach; Hierarchical Multi Level approach.
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