Optimized scheduling of water distribution network to reduce energy costs

Curran, Samuel James (2015) Optimized scheduling of water distribution network to reduce energy costs. [USQ Project]


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Energy costs for water utilities have increased significantly over recent years, primarily due to expanding water supply systems and increases in electricity charges. The impact of rising energy costs is being felt by Rous County Council (Rous Water) who own and operate the bulk water supply system for the Northern Rivers region in NSW. There is currently a strong drive within Council to reduce our energy costs.

This dissertation investigates options to reduce energy costs of the bulk water supply system owned and operated by Rous Water. The focus of this dissertation is on controlling the filling schedule of the reservoirs in the water distribution network to enable the high energy demand Nightcap Water Treatment Plant (WTP) to take advantage of Time of Use (TOU) electricity metering.

Investigation of current energy usage identified a number of possible control options to schedule the operation of the WTP into lower cost electricity tariff periods. The control options to schedule operation of the water distribution network were developed using the existing functionality of the SCADA control system to minimise costs. Modelling of the control options was able to demonstrate that the avoidance of peak tariff energy use can be achieved with only minor modifications to the SCADA control system. The estimated energy cost savings from the implementation of this project recommendations are approximately 10% of Council’s total energy costs.

This dissertation has shown that there are significant savings available for water utilities by taking advantage of TOU electricity tariff structures. Scheduling the operation of high energy demand equipment into less expensive tariff periods can be achieved using existing SCADA based control systems.

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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Engineering (Honours) (Civil) project
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Supervisors: Bowtell, Leslie
Date Deposited: 01 Jun 2016 02:13
Last Modified: 06 Jun 2016 01:00
Uncontrolled Keywords: Energy, Optimisation, Water Distribution Network
Fields of Research (2008): 09 Engineering > 0905 Civil Engineering > 090501 Civil Geotechnical Engineering
Fields of Research (2020): 40 ENGINEERING > 4005 Civil engineering > 400502 Civil geotechnical engineering
URI: https://sear.unisq.edu.au/id/eprint/29196

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