Correct identification of limiting water data for water network synthesis Academic Article

abstract

• Data extraction is one of the most critical steps in carrying out a process integration study for managing water usage and discharge. Correct identification of limiting water data during process integration for water minimisation has a significant impact on the water savings achievable for a given process. This paper presents the procedure and heuristics to extract the correct limiting water data from a process plant. In addition to limiting data on pollutant concentration, the paper discusses the optimal data extraction rules pertaining to flowrate of water demand and segregation of mixed streams. The paper also quantifies the consequences of inappropriate data extraction. Two case studies are used to illustrate the insights and consequences of data extraction in water minimisation problems. Springer-Verlag 2006.

authors

• El-Halwagi, Mahmoud

published proceedings

• Clean Technologies and Environmental Policy

author list (cited authors)

• Foo, D., Manan, Z. A., & El-Halwagi, M. M.

citation count

• 28

complete list of authors

• Foo, Dominic Chwan Yee||Manan, Zainuddin Abdul||El-Halwagi, Mahmoud M

publication date

• May 2006

publisher

• Springer Nature  Publisher

published in

• Clean Technologies and Environmental Policy  Journal

keywords

• 40 Engineering
• 4011 Environmental Engineering
• 6 Clean Water And Sanitation

Digital Object Identifier (DOI)

• 10.1007/s10098-006-0037-8

start page

• 96

end page

• 104

volume

• 8

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1007%2Fs10098-006-0037-8

user-defined tag

• 6 Clean Water and Sanitation