IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
Log On
About IAHRDirectoryCommitteesMy IAHRNews & JournalseLibraryeShopEventsJoin IAHRWorld CongressDonate
spacer.gif
spacer.gif eLibrary
spacer.gif eLibrary
You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Special sessions : An iwidget analytic for optimal equipment replacement by minimizing life-cycle costs under demand un...
An iwidget analytic for optimal equipment replacement by minimizing life-cycle costs under demand uncertainty
Author : ERNESTO ARANDIA(1), NICOLE TAHERI(2), JOE NAOUM-SAWAYA(3) & BRADLEY ECK(4)
ABSTRACT
iWIDGET is an EU research project to improve water efficiency through the use of information and communication
technologies with a special focus on the role of smart water meters for understanding consumption and improving system
operations. This paper presents an iWIDGET analytic method to estimate the optimal times to replace smart meters in a
water supply network considering life-cycle costs (LCCs) and the uncertainty in water consumption. The method
separately provides suggested replacement times for smart meters by minimizing the LCCs, where the dominant costs are
associated with non-revenue water due to loss of metering accuracy. Deterministic and robust formulations of the method
are presented. The latter incorporates the uncertainty in the water demand estimated using demand measurements from
the iWIDGET central system. Other important parameters in the modeling approach are the deterioration curves of
equipment that describe the decay of functional performance and the economic variables associated with the investment
on new meters. The method applies an economic analysis to calculate the present value of the replacement considering
all the LCCs and estimates the statistics at the time that yields the minimum present value of total costs. The method is
implemented and tested on a sample of iWIDGET smart meters. Our results illustrate the potential benefits in reducing the
life-cycle costs of smart meters when demand uncertainty is considered in the optimization of replacement schedules.
File Size : 568,166 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Special sessions
Date Published : 19/08/2015
Download Now