optimisation of the south east queensland water grid
TRANSCRIPT
Optimisation of the South East Queensland Water Grid
The challenge | SEQ Water Grid 60 dams and weirs
2,000,000 ML+ of storage
50 water treatment plants
46 conventional plants
Desalination
Purified recycled water
450 km of new bulk water pipelines
Yield ~ 450,000 ML/a
Demand ~250,000 ML/a
Supplying to ~ 3 million SEQ residents
Our solution Problem targeted algorithm formulation
State-of-the-art algorithm [Mixed Integer Linear Programming – MILP]
Ability to handle complex networks
Collaborative approach
SEQ Water Grid Decision Support SystemThe Solution - Simple Workflow Schematic
Climate variabilityAre we here? Or here?
Determining inflow data set
Stochastic data generation used to lengthen climate record
Contains inflow sequences that contain droughts more severe than those on record
1000 replicates, 117 years per replicate
Daily or Monthly optimisation
Minimise energy use
Maximise off peak electricity use
Improve reliability
Improve water quality
Capital planning | 20 year model
Maximise water security
Identify best capital planning options
Increase water grid reliability
Investigate better operational strategy
Identify over/under utilised infrastructure
Energy or cost example If cost is proportional to energy use this is how our energy use may increase
Energy or cost per ML This shows that as our lower energy/cost sources are utilised energy use per
capita will increase
Decision Support System
The optimisation model offers the opportunity to test and explore different operating scenarios under different climate conditions quickly and efficiently
The model provides a repeatable method of analysing the most cost efficient method of operating a complex network
The model is cost based and restricted to the grid – demand management solutions can be assessed within the grid, however the net result in some cases may be a net increase in cost or energy
Jim Fear
Senior Systems Engineer
SEQ Water Grid Manager
t +61 7 3405 5000
Ragini Prasad
Associate | Arup
t +61 7 3023 6136