Deployment&useofICTinWaterUtilitiesPascalMotsoasele– RandWater

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PresentationOutline

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• IntroductiontoRandWater• ImportanceofICTinaWaterUtility

• LeveragingBigData– Whatneedstobemeasured?• Currentinfrastructurechallenges• ICTInfrastructureLandscapetoaddressthechallengesnow&intothefuture

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Introduction

RandWaterOverview

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Bulkwatersupplierto12millionpeople

2016averagedemand~4350Ml/d

3500+kmofpipeline– mostly>600mm

58reservoirs– averagesize100Ml

OurCustomerBase

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GreaterJohannesburg

Metro37.0%

EkurhuleniMetro24%

TshwaneMetro16.5%

EmfuleniMetro6.2%

OtherMunicipalities

12.3%

Mines4.1%

Railways0.2%

Retail1.0%

4metros=83.7%ofdemand

RandWaterSupplySystem

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EikenhofSupplySystem

ZwartkopjesSupplySystem

PalmietSupplySystem

MapletonSupplySystem

VereenigingPurificationSystem ZuikerboschPurificationSystem

RawWaterSupplySystem

RandWater

Boos

ter

Syst

ems

Prim

ary

Syst

ems

WaterDemandForecast

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Augmentingfor2015to2030cycleProjectedgrowthinpeakdaydemand=1600Ml/dover15yearsGrowthsplitbetweenfourboostersystems

Palmietsystem600Ml/dgrowth

Mapletonsystem300Ml/dgrowth

Eikenhofsystem400Ml/dgrowth

Zwartkopjessystem300Ml/dgrowth

Primarysystems1600Ml/dgrowth

North west JhbWest RandRustenburg

Central JhbSouthern areas

Northern JhbTshwaneMadibeng

Eastern TshwaneEkurhuleniMpumalanga

Primary

PrimaryPrimary

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Waterscarcityisareality

• Dam levels were critical low just last year, before the rains

• Dept of Water & Sanitation had to implement a 15% water restriction

• Cape Town is currently still under threat – Water reserves up to 100 days only

• Utilities are looking for technical solutions for a changing business model– Do more with less: 20% cost for 80% benefit– Need to review use of technology in your company, with a view to increase efficiencies

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RandWater’scurrentICTApplicationsLandscape

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MeterreadingsforBilling

MicroSoftCRM

Customer&AccountInfo DailyReceipts

&MonthlyPayments

Pipeline,MeterLocations

PlantMaintenance

CentralizedMaintenanceManagementMaximo

GISWaterBilling SAP Opstats

Dam&ReservoirlevelsWaterdemand&Supply

WaterLosses

OracleDataWarehouse(Business

Intelligence)

SharePointWebsite

Customer&AccountInfo.

ManagementReports

FinancialReports

SQLDBBusiness

Intelligence

LIMS

WaterQuality

WEIR

SAPFinancialSAPHR

WaterSales&Consumption

WaterQualityReports

Crystalreporting

WaterQuality

MaterialVendorcosts

ManagementDashboardDashboard

WaterQuality

KPI’s

EnergyConsumption ActiveMetersfromWaterBilling

DatafromvariousdisparatesensorsandinstrumentsthroughouttheRandWateroperations(i.e.waterflow,waterpressure,waterquality,energyconsumption,corrosionsensors,alarms,etc.)

(EPANet)(Tableu)

ICTinaWaterUtility

• OT Services– Water Quality (Turbidity, pH,

Conductivity, Chemical dosages, etc.)– SCADA Telemetry (Water flows, water

pressure, Systems temperatures, Energy usage, Cathodic Protection, reservoir levels, Alarm types, etc.)

– Asset Management (Maintenance Platform, GIS platform, MIS, Operations Support Systems, etc.)

• IT Services– Water Quality Reports (LIMS, Blue Drop

system, etc.)– Revenue Protection (Billing systems,

SAP, etc.)– Business Intelligence (Opstats, Decision

Support Systems, ERP, CRM, etc.)– Business Continuity (Emergency

Preparedness & Disaster Recovery, etc.)

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LeveragingICTforUtilityDataAnalytics

• ICT is a strategic instrument for Smart Water Management

• ICTs enable real-time water use info in order to track, forecast, as well as identify infrastructure vulnerabilities

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High-level Conceptual Design Diagram

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LeverageyourBigData

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BigDataallowsforUtilityDataAnalytics

• The value of Big Data isn’t in the data itself, but the wisdom & strategic benefit that can be derived after analysis.

• Considerations:

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WaterQuality

AdvanceddataanalyticsnotonlyenablesthewaterutilitytomonitorthenecessaryKPIsformeetingtheBlueDropdrinkingwaterstandards,butitalsoempowersthemtomonitor,trendandreportonthequalityoftheinputrawwaterovertime,thusprovidingawindowofopportunitytodetectenvironmentalconcernsaheadoftheireventualoccurence.Moreover,theutilitywillalsobeabletomonitorandreportonthequalityoftreatedwastewaterbeforeitisbeingdischargedaseffluent.

AssetManagementMostofourpipelinesinfrastructurewasbuilt50-75yearsago.Sensorseverywhere,coupledwithhydraulicability,willenableadvancedvisualisationoftheentirenetworkforsituationalawarenessandactivateproactiveresponse

RevenueProtection

About20-45%potablewaterendsupasnon-revenuewaterthatleakssomewherealongtheway.CoupledwithSmartWaterMetering,anICT-enableddataanalyticssolutioncanalertthecontrolroomofinfrastructurevulnerabilitiesandactivaterepairprotocols.

ServiceDelivery Advanceddataanalyticsenablessupplyanddemandforecasting.Thiscapabilityempowerstheutilitytomeetcurrentandfuturecustomerexpectations.

CostEfficiency

Withadvanceddataanalytics,theutilitycompanycanrealiseoperationalefficienciesthateliminateorreducethecostofdoingbusiness,e.g.reductioninenergycostsduetoreal-timedemandstatisticsbeingprocessedandthatinturnactivatingthecontrolofvalvesfortherelease/restrictiononwater.Anotherexampleisreductionischemicalsuseowingtosensorsthatcontinuallyreportonthewaterqualityagainstasetofoperationalsetpoints.

OperationalEfficiency

SCADAcoupledwithdataanalyticsabilityempowerstheutilitytoconductmeasurement,trendingandpredictiveanalysisonwaterquality,bothonthpotableandthewastewaterside.Moreover,integrationofananalyticstooltoSCADAwillenablepredictiveanalysisoninfrastructurefailures.

EmpoweredCustomers

Smartwatermeteringempowersthecustomertoself-monitorwaterusageandon-premiseleakdetection.Moreover,thebulkwaterutilitywillbeabletograntthemunicipalitiesweb-enabledaccesstometereddata,sothattheycanmakedemandforecastsfortheirdistributionnetworks.

ConcludingRemarks

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• IntroanMonitoring&Evaluationfunctionality– BuildamodernICTinfrathatleveragestelemetry,sensors&hydraulicabilitiestoenableadvancedvisualisationonyourentirenetworkforsituationalawareness&proactiveresponse

• Operationaldatafromsensorsfromvalvesandwaterpumps,shouldbeseeninmonitors.

• Byaddingadditionalsensorsandfunctionality,chemicals,water&energysavingscanberealised,andhydraulicnetworkcanbeimproved

• Aimtoproactivelymanagethenetwork:• Datatopredictbreaks• Leakdetection–temperature• GISmappingofincidents• Preventback-flow• On-line,real-timedata

• Lastly,