Publications (2)0 Total impact
Conference Proceeding: Superstructure optimization of chemical process[show abstract] [hide abstract]
ABSTRACT: In this paper we consider the superstructure optimization of chemical process networks. The objective of the superstructure optimization is to minimize the total cost of the process. First we present the mathematical modeling framework for the process networks, where the selection of different process is made by discrete choices. Generalized disjunctive programming (GDP) model and mixed-integer nonlinear programming (MINLP) model are used for the formulation of the process networks. The optimization algorithm for these discrete/continuous optimization models is applied and the optimal solution has lower cost than the base case solution. The industrial applications are shown with monomer reaction process and olefin separation process.SICE 2003 Annual Conference; 09/2003
Article: New strategy for automated hazard analysis of chemical plants. Part 2: Reasoning algorithm and case study[show abstract] [hide abstract]
ABSTRACT: In this article, a new methodology for automated hazard analysis of chemical plants is described. The developed system is composed of three knowledge bases: unit knowledge base, organizational knowledge base and material knowledge base, and three hazard analysis algorithms: deviation, malfunction and accident analysis algorithm. The proposed algorithm can perform hazard analysis in two viewpoints and represent all conceivable types of accident using an accident analysis algorithm. In addition, it shows the intermediate steps of accident process, so it produces the analysis result which can give a useful information to hazard assessment. It is successfully demonstrated by applying it to diammonium phosphate manufacturing process.Journal of Loss Prevention in the Process Industries.
Carnegie Mellon University
Pittsburgh, PA, USA
- Department of Chemical Engineering