E-mail this page
Our Webinars
Description
To control the production process in a chemical plant, the process is closely monitored through a continuous stream of measurements of both the flows between the process units in the plant and their composition. Such raw data may be subject to measurement errors, however, resulting in an inconsistent set of measurements.
The aim of data reconciliation is to provide a set of corrected flow and composition values, which lies as close to the set of measured values as possible, and, at the same time, satisfies all relevant balances.
This demo illustrates a complete AIMMS application for the data reconciliation of chemical processes. The demo includes a fairly straightforward end-user interface which, nevertheless, allows you to specify a complete chemical process to the extent required to perform a successful data reconciliation. Included is a dataset for the synthesis of ammonia (NH3).
The buttons in the left column of the pages will guide you, in succession, through all necessary steps to perform the data reconciliation process.
Keywords
Template, Network object, Page structure, Selection object, Composite table, Assertion, Indexed sets, Model structure, Quantities and Units, XML
Industries
Model Types
Download AIMMS Example
You can download an AIMMS example dealing with this problem via the link below, and run it after installing the AIMMS software. If you don't have an AIMMS license yet, you can download a free license of AIMMS.
ftp://ftp.aimms.com/pub/Download/Examples/Data Reconciliation.aimmspack
Please make sure to save this file including the .aimmspack extension so that it can be opened by AIMMS.
This example application is a simplification of reality. Please do not hesitate to contact us to discuss how AIMMS enables you to build a complete optimization application that captures the full complexity of your problem.
Screenshot AIMMS Example
