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“SUNRISE” – Smart City Demonstration Model -
- “Smart Urban   Networks for Resilient Infrastructure & Sustainable Ecosystems” -

           Cité Modèle des Réseaux Intelligents
                   - le Partenariat pour l’Innovation Urbaine -

          University of Lille, LGCE & W-SMART Research Center




     Assainissement -
    Enjeux, Stratégies,
       Perspectives


                         Erich J. Shaw – P.E.
                       September 29, 2011
Click icon to add   Challenges
          picture
Challenge 1 – Higher Treatment
Reliability at the WWTP
 As clean water sources get scarcer, water
 reuse from wastewater is recognized as a
 sustainable method for additional water
 supply.


 Reuse   water quality requirements have
 increased which has in turn challenges
 reliability issues for wastewater treatment
 plants
Regional Annual Rainfall




RAINFALL

   less than 100
   100 to 200
   200 to 400
   400 to 600
   6 00 to 1,000
   more than 1,000


                           Israel copes for decades
                           with the water shortage
                           problem.
Climate Change Effects
Decrease in the quantity of rainfall       Increase in time between rain
                                           events




        A significant decrease of the       From an average time of 7 day to 10 days
   average amount of rainfall of about 6
   mm/year




                                                                                       5
Reused effluent

       5 Year Target = 90%
80%
      75%
70%
60%                     Agriculture client for
                          the effluent that
50%                        requires a high
40%                        reliable quality
30%
20%
                12%            9%          8%
10%                                                5%
                                                            <1%
0%
      Israel    Spain        Australia    Italy   Greece   C Europe



                                                                      6
Stricter Effluent Requirements

        1990’s                    2010’s
 Restricted Irrigation    Unrestricted
                           Irrigation
     Secondary              Tertiary
      Effluent              Effluent
   BOD, TSS              BOD, TSS, TN,
                         NH3, P

                         pH, Turbidity,
                         EC,

                         Cl, Na, B

                         Heavy metals

                         E coli
Deviations in Effluent quality

Main factors that can
cause effluent
degradation:


   Plant operations


   Loads (organic/flows)
    greater than the
    design capacity


   Contamination from
    factories
Problems - CASE STUDY 1

    700
    650
    600
    550
                                                                                                              527mg/l
    500
                                                                                       40%change
    450
    400
m
C




    350
e
d
o
h
g
s
r
[
]
i
l
/




    300
    250
    200
    09/ 03/ 2007   25/ 09/ 2007   12/ 04/ 2008   29/ 10/ 2008    17/ 05/ 2009   03/ 12/ 2009   21/ 06/ 2010
                                                          Date




                                   high salinity = burnt crops

                                      long time for response
Challenge 2 – Responsibilities

                                               NO
                                  ?       Responsibility

                Factory
                                                      WWTP
                                      ?


                    Responsible                            Responsible

   The WWTP operator is responsible at the outlet
   The main source of contamination (e.g. the factory) is
    responsible only at the outlet of factory
   No one is responsible at the inlet of the WWTP.
Problems - Case STUDY 2
    40,000                                                     100

                                                               90
    35,000
                                    Load                       80
    30,000
                                                               70
    25,000
                                                               60

    20,000                                                     50

                                                               40
    15,000
                                                               30
                                      BOD
O




    10,000
D
B
g
d
o
L
y
k
a
]
[
/




                                                                     m
                                                               20




                                                                     O
                                                                     D
                                                                     B
                                                                     g
                                                                     u
                                                                     n
                                                                     e
                                                                     ]
                                                                     [
                                                                     t
                                                                     f
                                                                     /
                                                                     l
                                                                     i
     5,000
                                                               10

        0                                                      0

             1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
                                  date
                                    Month
                High organic loads= non-conforming effluent

                Non-conforming effluent = no water for crops
Challenge 3 – Old Sewers, higher
flows, stoppage and overflows
 Asthe underground
 infrastructure ages and
 population grows, an
 increase in the number of
 stoppages in the sewer
 pipes can be anticipated.


 Manyof these stoppages
 and overflows can be
 prevented if proper
 preventive maintenance
 was conducted yet
Click icon to add   SOLUTIONS
          picture
Online Monitoring

   Online
                                          Control




                           Sampler   TN             UV   TDS   EC   pH


water
              Resperator


                                                               EC   pH



quality
monitoring
is now
being
regulated
not only at
System Wide Sewer Monitoring
System wide Sewer Monitoring



                                   INTERNET
                                                                                  CELLULAR




                                         DISPLAY         DAILY STATISTICAL
                          TRENDS ALARMS GRAPHICS ROUTING BATCH ANALYSIS STORAGE
                      ANNUAL
                      REPORTS


         Central Server Farm



                            WAN or
                          INTERNET
                                                     CELLULAR




 Sites
Monitoring Integration

 Integrating    all the data
 sources:                                           .ʺ .ʠ
                                                                                                     ʶ

                                                    ʸ ʥ
                                                       ʠ
                                                                                                         ʧʹ

      Allows for rapid detection
                                                   ʠʡʩ ʷʲ
                                                                                                         ʮ

                                    ʯʡʠ

      of contamination and its
                                                                                      Ø400
                                   , ʸʱ ʩ
                                        ʷ
                                                               Ø550

                                    ʺʴ ʸ

      source
                                               Ø300


                                                                              .ʺ .ʠ
                                                                                       Ø350
                                                                             ʤʸ ʱ ʩ
                                                                              ʩ ʷ
                                                        Ø650




                                                            ʹ ʨʮ
                                                                      Ø600                           ʠʸ ʷʮ
                                           ʺ .ʠ
     Allows for determining               ʤʣ
                                            ʸ ʧ
                                                                                             ʸ ʥ
                                                                                                ʦ
                                                                                           ʤʩ ʲ ʺ
                                                                                            ʩ
                                                                                         ʣʥ ʥ
                                                                                             ʹ
                                                                                          ʣʡʭʸ ʺ
                                                                                                 ʠ




      how much extra fees the
      factory needs to pay for
      discharging higher organic
      loads
SUMMARY

 Challenges    in sanitation :


    Higher reliability at the WWTP
    Unclear responsibilities and enforcement
    Aging infrastructure


 Monitoring and advanced data analysis is a
 crucial tool in overcoming these problems.
Thank you

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Assainissement

  • 1. “SUNRISE” – Smart City Demonstration Model - - “Smart Urban Networks for Resilient Infrastructure & Sustainable Ecosystems” - Cité Modèle des Réseaux Intelligents - le Partenariat pour l’Innovation Urbaine - University of Lille, LGCE & W-SMART Research Center Assainissement - Enjeux, Stratégies, Perspectives Erich J. Shaw – P.E. September 29, 2011
  • 2. Click icon to add Challenges picture
  • 3. Challenge 1 – Higher Treatment Reliability at the WWTP  As clean water sources get scarcer, water reuse from wastewater is recognized as a sustainable method for additional water supply.  Reuse water quality requirements have increased which has in turn challenges reliability issues for wastewater treatment plants
  • 4. Regional Annual Rainfall RAINFALL less than 100 100 to 200 200 to 400 400 to 600 6 00 to 1,000 more than 1,000 Israel copes for decades with the water shortage problem.
  • 5. Climate Change Effects Decrease in the quantity of rainfall Increase in time between rain events A significant decrease of the From an average time of 7 day to 10 days average amount of rainfall of about 6 mm/year 5
  • 6. Reused effluent 5 Year Target = 90% 80% 75% 70% 60% Agriculture client for the effluent that 50% requires a high 40% reliable quality 30% 20% 12% 9% 8% 10% 5% <1% 0% Israel Spain Australia Italy Greece C Europe 6
  • 7. Stricter Effluent Requirements 1990’s 2010’s Restricted Irrigation Unrestricted Irrigation Secondary Tertiary Effluent Effluent BOD, TSS BOD, TSS, TN, NH3, P pH, Turbidity, EC, Cl, Na, B Heavy metals E coli
  • 8. Deviations in Effluent quality Main factors that can cause effluent degradation:  Plant operations  Loads (organic/flows) greater than the design capacity  Contamination from factories
  • 9. Problems - CASE STUDY 1 700 650 600 550 527mg/l 500 40%change 450 400 m C 350 e d o h g s r [ ] i l / 300 250 200 09/ 03/ 2007 25/ 09/ 2007 12/ 04/ 2008 29/ 10/ 2008 17/ 05/ 2009 03/ 12/ 2009 21/ 06/ 2010 Date high salinity = burnt crops long time for response
  • 10. Challenge 2 – Responsibilities NO ? Responsibility Factory WWTP ? Responsible Responsible  The WWTP operator is responsible at the outlet  The main source of contamination (e.g. the factory) is responsible only at the outlet of factory  No one is responsible at the inlet of the WWTP.
  • 11. Problems - Case STUDY 2 40,000 100 90 35,000 Load 80 30,000 70 25,000 60 20,000 50 40 15,000 30 BOD O 10,000 D B g d o L y k a ] [ / m 20 O D B g u n e ] [ t f / l i 5,000 10 0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 date Month High organic loads= non-conforming effluent Non-conforming effluent = no water for crops
  • 12. Challenge 3 – Old Sewers, higher flows, stoppage and overflows  Asthe underground infrastructure ages and population grows, an increase in the number of stoppages in the sewer pipes can be anticipated.  Manyof these stoppages and overflows can be prevented if proper preventive maintenance was conducted yet
  • 13. Click icon to add SOLUTIONS picture
  • 14. Online Monitoring Online Control Sampler TN UV TDS EC pH water Resperator EC pH quality monitoring is now being regulated not only at
  • 15. System Wide Sewer Monitoring
  • 16. System wide Sewer Monitoring INTERNET CELLULAR DISPLAY DAILY STATISTICAL TRENDS ALARMS GRAPHICS ROUTING BATCH ANALYSIS STORAGE ANNUAL REPORTS Central Server Farm WAN or INTERNET CELLULAR Sites
  • 17. Monitoring Integration  Integrating all the data sources: .ʺ .ʠ ʶ ʸ ʥ ʠ ʧʹ Allows for rapid detection ʠʡʩ ʷʲ  ʮ ʯʡʠ of contamination and its Ø400 , ʸʱ ʩ ʷ Ø550 ʺʴ ʸ source Ø300 .ʺ .ʠ Ø350 ʤʸ ʱ ʩ ʩ ʷ Ø650 ʹ ʨʮ Ø600 ʠʸ ʷʮ ʺ .ʠ  Allows for determining ʤʣ ʸ ʧ ʸ ʥ ʦ ʤʩ ʲ ʺ ʩ ʣʥ ʥ ʹ ʣʡʭʸ ʺ ʠ how much extra fees the factory needs to pay for discharging higher organic loads
  • 18. SUMMARY  Challenges in sanitation :  Higher reliability at the WWTP  Unclear responsibilities and enforcement  Aging infrastructure  Monitoring and advanced data analysis is a crucial tool in overcoming these problems.