Scientific Results

ID:
publications-3859

Type:
article

Year:
2018

Authors:
Nguyen, Khoi and Nguyen, Khoi Anh and Nguyen, Khoi and Nguyen, Khoi and Nguyen, Khoi Anh and Stewart, Rodney Anthony and Stewart, Rodney Anthony and Zhang, Hong and Zhang, Hong and Sahin, Oz and Sahin, Oz and Siriwardene, Nilmini and Siriwardene, Nilmini

Title:
Re-engineering traditional urban water management practices with smart metering and informatics

Venue/Journal:
Environmental Modelling and Software

DOI:
10.1016/j.envsoft.2017.12.015

Research type:

Water System:

Technical Focus:

Abstract:
Current practice for the design of an urban water system usually relies on various models that are often founded on a number of assumptions on how bulk water consumption is attributed to customer connections and outdated demand information that does not reflect present consumption trends; meaning infrastructure is often unnecessarily overdesigned. The recent advent of high resolution smart water meters and advanced data analytics allow for a new era of using the continuous ‘big data’ generated by these meter fleets to create an intelligent system for urban water management to overcome this problem. The aim of this research is to provide infrastructure planners with a detailed understanding of how granular data generated by an intelligent water management system (Autoflow©) can be utilised to obtain significant efficiencies throughout different stages of an urban water cycle, from supply, distribution, customer engagement, and even wastewater treatment.

Link with Projects:

Link with Tools:

Related policies:

ID: