Optimisation of Groundwater Well Field Management
Optimisation of Groundwater Well Field Management
Optimisation of Groundwater Well Field Management
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<strong>Optimisation</strong> <strong>of</strong> <strong>Groundwater</strong> <strong>Well</strong> <strong>Field</strong><br />
<strong>Management</strong><br />
Henrik Madsen<br />
hem@dhigroup.com
R&D projects<br />
<strong>Well</strong> field optimisation<br />
• Research grant from the Danish Strategic<br />
Research Council, Sustainable Energy and<br />
Environment Program (2007-2010)<br />
Energy optimisation <strong>of</strong> well fields<br />
• DANVA R&D project on energy savings in<br />
the water sector (2008-2009)
<strong>Well</strong> field management system - components<br />
• Mathematical modelling<br />
• <strong>Optimisation</strong> <strong>of</strong> well field operation<br />
• Pump control<br />
• <strong>Well</strong> field management and decision support system<br />
Optimal control<br />
<strong>Optimisation</strong> system<br />
Control<br />
variables<br />
<strong>Well</strong> field<br />
model<br />
<strong>Well</strong> field<br />
management<br />
system<br />
Pump<br />
control<br />
system<br />
Optimiser<br />
Operation<br />
targets<br />
On-line<br />
monitoring<br />
system<br />
Data assimilation<br />
system
<strong>Well</strong> field management system - applications<br />
• <strong>Well</strong> field planning (<strong>of</strong>f-line applications)<br />
‣ Design/extension <strong>of</strong> well fields<br />
‣ Change <strong>of</strong> pump configurations<br />
• Real-time control and optimisation <strong>of</strong> pump scheduling (on-line<br />
applications)<br />
• <strong>Management</strong> objectives:<br />
‣ Energy consumption<br />
‣ Operation and maintenance<br />
‣ Water quality<br />
‣ <strong>Well</strong> field contamination<br />
‣ Environmental impacts<br />
‣ ...
<strong>Well</strong> <strong>Field</strong> model<br />
Core model:<br />
• <strong>Groundwater</strong> model - MIKE SHE<br />
• Pipe network model - EPANET<br />
• <strong>Well</strong> model<br />
Add-ons:<br />
• Energy calculation module<br />
• Control module<br />
• <strong>Optimisation</strong> module<br />
• Data assimilation<br />
Water<br />
works
Energy optimisation - Birkerød water works<br />
• 9 production wells<br />
• 8 wells screened in<br />
limestone aquifer<br />
• 1 well screened in<br />
upper quaternary<br />
sandy aquifer<br />
• Annual yield <strong>of</strong> 1.4<br />
mill m 3
<strong>Groundwater</strong> model<br />
Local well field model<br />
Usserød Å<br />
catchment model
Coupled model<br />
Day 31, 12:00 AM<br />
Head<br />
49.00<br />
50.00<br />
51.00<br />
52.00<br />
m<br />
Flow<br />
25.00<br />
50.00<br />
75.00<br />
100.00<br />
CMH
Evaluation <strong>of</strong> pump scheduling<br />
Energy consumption [kWh/h]<br />
140<br />
120<br />
All pump combinations<br />
100<br />
80<br />
60<br />
40<br />
Energy saving<br />
potential: 22%<br />
20<br />
0<br />
0 100 200 300 400 500 600 700<br />
Pump rate [m3/h]
Evaluation <strong>of</strong> 2008 operation<br />
Energy consumption [kWh/h]<br />
Annual yield: 1.455.000 m 3<br />
Annual energy consumption: 267.000 kWh<br />
140<br />
120<br />
All pump combinations<br />
Active during 2008<br />
100<br />
80<br />
60<br />
40<br />
20<br />
0<br />
0 100 200 300 400 500 600 700<br />
Pump rate [m3/h]
Energy optimisation <strong>of</strong> 2008 operation<br />
Energy consumption [kWh/h]<br />
Annual Energy consumption: 249.000 kWh<br />
Reduction compared to 2008 operation: 7 %<br />
140<br />
120<br />
100<br />
All pump combinations<br />
Active during 2008<br />
Optimised operation<br />
80<br />
60<br />
40<br />
20<br />
0<br />
0 100 200 300 400 500 600 700<br />
Pump rate [m3/h]
Summary energy optimisation analysis<br />
Scenario<br />
Energy<br />
consumption<br />
[kWh]<br />
Reduction<br />
compared to<br />
2008 operation<br />
[%]<br />
Operation during 2008 267.000 -<br />
Optimised operation with present<br />
pumps<br />
Optimised operation with new<br />
pumps<br />
249.000 7<br />
192.000 -<br />
200.000<br />
25-28
Real-time control Hardh<strong>of</strong> water works, Zürich<br />
• 4 production wells<br />
• 20.000 m 3 /day<br />
• 18 extraction wells<br />
along river<br />
• 3 infiltration basins<br />
• 12 infiltration wells<br />
Contaminated<br />
groundwater
Real-time optimisation<br />
Total infiltration [m3/day]<br />
Actual<br />
operation<br />
Pareto optimal<br />
solutins<br />
Gradient
Distribution <strong>of</strong> infiltration<br />
Infiltration [m3/day]<br />
Historical management<br />
Optimised management<br />
Basins<br />
<strong>Well</strong>s 7-12<br />
<strong>Well</strong>s 1-6<br />
Day 1-30 Day 1-30
Concluding remarks<br />
• Integrated hydrological and hydraulic well field model developed<br />
for management <strong>of</strong> groundwater well fields<br />
• Real-time management system combining monitoring, modelling<br />
and optimisation can significantly improve operations <strong>of</strong> well<br />
fields<br />
• Applications<br />
‣ Energy optimisation Birkerød water works: Up to 28% energy<br />
savings by changing to more energy efficient pumps and<br />
optimising pump scheduling<br />
‣ Hardh<strong>of</strong> water works: Real-time control provide optimal<br />
solutions with better protection and less infiltration than<br />
present operation.
Thank you for your attention<br />
wellfield.dhigroup.com
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