ISPE: A knowledge-based system for fluidization studies
Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that can enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.
- Research Organization:
- West Virginia Univ., Morgantown, WV (United States). Dept. of Statistics and Computer Science
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- FC21-87MC24207
- OSTI ID:
- 7173674
- Report Number(s):
- DOE/MC/24207-3007; ON: DE91002087
- Country of Publication:
- United States
- Language:
- English
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CHEMICAL PLANTS
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COMPUTER CALCULATIONS
ECONOMICS
EXERGY
KNOWLEDGE BASE
MATHEMATICAL MODELS
PROGRESS REPORT
THERMODYNAMICS
DOCUMENT TYPES
ENERGY
ENGINEERING
INDUSTRIAL PLANTS
990200* - Mathematics & Computers