About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Conference paper

An Intelligent System for Modelling, Design and Analysis of Chemical Processes

From

Department of Chemical and Biochemical Engineering, Technical University of Denmark1

Computer Aided Process Engineering Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark2

ICAS, Integrated Computer Aided System, is a software that consists of a number of intelligent tools, which are very suitable, among others, for computer aided modelling, sustainable design of chemical and biochemical processes, and design-analysis of product-process monitoring systems. Each of these tools are characterized by a framework that follows an established work-flow and data-flow, developed to guide the user through the many steps of the problem solution process.

At each, the specific tool knows which data, model and/or algorithm to use. The tool also provides analysis of the calculated results so that the user can make intelligent decisions to proceed to the next step. The tools contain in-house databases, especially designed to work in an integrated manner with tool specific ontology for efficient knowledge management.

Examples highlighting the use of the tools willl be given, where the computer aided modelling tool will illustrate how to generate a desired process model, how to analyze the model equations, how to extract data and identify the model and make it ready for various types of application. In sustainable process design, the example will highlight the issue of integration of data, models and tools for consistent evaluation of sustainable process alternatives.

In the case of productprocess quality monitoring, the example will highlight the use of model libraries and database to analyze an existing monitoring (PAT) system.

Language: English
Year: 2013
Proceedings: 2013 AIChE Annual Meeting
Types: Conference paper

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis