Short-term water demand forecasting for production optimisation

Pillay, Ravindra Sen (2005) Short-term water demand forecasting for production optimisation. [USQ Project]

Preview

PDF RavinPILLAY-2005.pdf Download (2MB)

Abstract

This study comprises the formulation of a short-term (24 hr ahead) water demand
predictive model using multiple variable linear regression technique for the
purposes of production optimisation and water demand management for
Toowoomba City Councils Mt. Kynoch Water Treatment Plant. It includes a
consumption trend analysis and investigation of the impact of demand
management techniques utilized by TCC in reducing water consumption.
The results were comprehensive and indicated that Toowoomba's demand is quite
strongly affected by maximum air temperature, rainfall and rain-days, moving
average demand, 4-day weighted average demand, as well as imposed restriction
levels. An attempt to combine rainfall and rain-days into a single variable called
rainfall-weighting produced exceptional results given the short duration of data
analysed.

Statistics for this ePrint Item

Item Type:	USQ Project
Refereed:	No
Item Status:	Live Archive
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013)
Date Deposited:	11 Oct 2007 00:23
Last Modified:	02 Jul 2013 22:32
Uncontrolled Keywords:	short-term water demand, rainfall
Fields of Research (2008):	05 Environmental Sciences > 0503 Soil Sciences > 050399 Soil Sciences not elsewhere classified 09 Engineering > 0907 Environmental Engineering > 090799 Environmental Engineering not elsewhere classified
Fields of Research (2020):	41 ENVIRONMENTAL SCIENCES > 4106 Soil sciences > 410699 Soil sciences not elsewhere classified 40 ENGINEERING > 4011 Environmental engineering > 401199 Environmental engineering not elsewhere classified
URI:	https://sear.unisq.edu.au/id/eprint/504

Actions (login required)

Archive Repository Staff Only