Document Type

Presentation

Publication Date

8-1-2014

Abstract

A soft sensor is developed to predict the potential amount of precipitation of calcium carbonate (CCPP) in warm water household devices and scaling or corrosive behavior in water distribution networks. With the aid of a water supply network model, it is shown that the soft sensor is able to predict CCPP levels at pre-specified downstream nodes using only measurements at a limited set of upstream nodes. Furthermore, the soft sensor consists of a data assimilation algorithm to provide for best estimates of the CCPP and confidence intervals.

Comments

Session R54, Water Distribution Networks: Water Quality Aspects

 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.