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RPA2 – Pressure Management RPA 2 Pressure Management University of Leicester WP 2.1 Redesign of press. schemes Exeter WP 2.2 Feedback control schemes Leic./De Mont. WP 2.3 Control Algorithms Leic./De Mont WP 2.4 Supervisory control scheme Leic./De Mont. WP 2.5 Integration of Pump Control De Montfort WP 2.6 Leakage & Burst Monitoring Leic./De Mont . DELIVERABLES
(Re)Design of Pressure Control Schemes RPA2 Work Package 2.1 Haytham Awad
Outline ,[object Object],[object Object],[object Object],Objective ,[object Object]
Net benefit cost model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GUI dialog
Output report ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implementation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
(Re)zoning algorithm ,[object Object],[object Object],PRV X X X X Closed valve
(Re)zoning algorithm
33 Tree - 13 Connected - 37 Closed Example
Optimal steady state pressure control Hossam AbdelMeguid
[object Object],Aim Recent technical developments Practical impact Deliverables and future work
Aim ,[object Object],[object Object],[object Object]
Recent technical developments  ,[object Object],[object Object],[object Object],[object Object],Boundary PRV Boundary PRV Internal PRV
Technical developments
Technical developments
Command-line FINESSETools  E067.pcm   Technical developments   All other applications Read / write 800xA PGIM Read / write HDA / DA FINESSE modules,  e.g Pressure Control, Pump Scheduling, Demand Prediction OPC clinet tool
YWS case-studies ,[object Object],[object Object]
Practical applications and impact ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Dynamic pressure control Bogumil Ulanicki
Aim ,[object Object],[object Object],[object Object]
NEPTUNE Workshop  Esholt Hall, 9th July 2008   PID controller uses only pressure measurements   Previous work
NEPTUNE Workshop  Esholt Hall, 9th July 2008   Modified controller uses information about both the outlet pressure and the valve flow.  Recent technical developments
[object Object],[object Object],NEPTUNE Workshop  Esholt Hall, 9th July 2008   Recent technical developments
[object Object],NEPTUNE Workshop  Esholt Hall, 9th July 2008   Recent technical developments
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NEPTUNE Workshop  Esholt Hall, 9th July 2008   Practical applications and impact
Test  rig experiments on Aquai-Mod controller Piotr Skworcow, Hossam AbdelMeguid (DMU) David Hurley, Mark Lock (Aquavent)
Aims ,[object Object],[object Object],[object Object]
Recent technical developments  ,[object Object],[object Object],[object Object]
Mathematical model  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Test set-up
 
Preliminary measurement results The measured flow modulation curve
Practical applications and impact ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Combined energy and pressure management Hossam AbdelMeguid, Peter Bounds,  Piotr Skworcow , Bogumil Ulanicki
[object Object],[object Object],[object Object],[object Object],[object Object],Outline
Purpose Minimize cost of water treatment and pumps energy usage whilst supplying good service to customers without unnecessarily high pressure  Integration and co-ordination of pump control in grid with pressure control of DMAs Pump  scheduling Pressure control Combined energy and pressure management Calculate time schedules for treatment works, pumps, valves, reservoirs and PRV setpoints
Proposed Solution Formulate as optimisation problem; cost function:  Total cost of water treatment and pumps energy use Inclusion of PRV model – setpoint as decision variable Network model with pressure dependent leakage: Excessive Pumping High energy cost High pressure Increased leakage More water from sources and to be pumped £ £ £
Implementation Embedded into the FINESSE software
Case Study 1 Harrogate  (Yorkshire Water): ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Case Study 2 Oldham (United Utilities):  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Combinated energy presure

  • 1. RPA2 – Pressure Management RPA 2 Pressure Management University of Leicester WP 2.1 Redesign of press. schemes Exeter WP 2.2 Feedback control schemes Leic./De Mont. WP 2.3 Control Algorithms Leic./De Mont WP 2.4 Supervisory control scheme Leic./De Mont. WP 2.5 Integration of Pump Control De Montfort WP 2.6 Leakage & Burst Monitoring Leic./De Mont . DELIVERABLES
  • 2. (Re)Design of Pressure Control Schemes RPA2 Work Package 2.1 Haytham Awad
  • 3.
  • 4.
  • 6.
  • 7.
  • 8.
  • 10. 33 Tree - 13 Connected - 37 Closed Example
  • 11. Optimal steady state pressure control Hossam AbdelMeguid
  • 12.
  • 13.
  • 14.
  • 17. Command-line FINESSETools E067.pcm  Technical developments All other applications Read / write 800xA PGIM Read / write HDA / DA FINESSE modules, e.g Pressure Control, Pump Scheduling, Demand Prediction OPC clinet tool
  • 18.
  • 19.
  • 20. Dynamic pressure control Bogumil Ulanicki
  • 21.
  • 22. NEPTUNE Workshop Esholt Hall, 9th July 2008 PID controller uses only pressure measurements Previous work
  • 23. NEPTUNE Workshop Esholt Hall, 9th July 2008 Modified controller uses information about both the outlet pressure and the valve flow. Recent technical developments
  • 24.
  • 25.
  • 26.
  • 27. Test rig experiments on Aquai-Mod controller Piotr Skworcow, Hossam AbdelMeguid (DMU) David Hurley, Mark Lock (Aquavent)
  • 28.
  • 29.
  • 30.
  • 32.  
  • 33. Preliminary measurement results The measured flow modulation curve
  • 34.
  • 35. Combined energy and pressure management Hossam AbdelMeguid, Peter Bounds, Piotr Skworcow , Bogumil Ulanicki
  • 36.
  • 37. Purpose Minimize cost of water treatment and pumps energy usage whilst supplying good service to customers without unnecessarily high pressure Integration and co-ordination of pump control in grid with pressure control of DMAs Pump scheduling Pressure control Combined energy and pressure management Calculate time schedules for treatment works, pumps, valves, reservoirs and PRV setpoints
  • 38. Proposed Solution Formulate as optimisation problem; cost function: Total cost of water treatment and pumps energy use Inclusion of PRV model – setpoint as decision variable Network model with pressure dependent leakage: Excessive Pumping High energy cost High pressure Increased leakage More water from sources and to be pumped £ £ £
  • 39. Implementation Embedded into the FINESSE software
  • 40.
  • 41.
  • 42.