Dr Joel Byrnes | Associate Director, AECOM

Click here to load reader

  • date post

    04-Jan-2016
  • Category

    Documents

  • view

    28
  • download

    1

Embed Size (px)

description

Intelligent Water Networks – is science the key to driving productivity and efficiency in urban water?. November 2012. Dr Joel Byrnes | Associate Director, AECOM. Intelligent Water Networks – Background. - PowerPoint PPT Presentation

Transcript of Dr Joel Byrnes | Associate Director, AECOM

Slide 1

Intelligent Water Networks is science the key to driving productivity and efficiency in urban water?Dr Joel Byrnes| Associate Director, AECOM November 2012

Intelligent Water Networks BackgroundIntelligent Water Networks (IWN) Consortium of Victorian Water Authorities, working with state governmentIndustry Driver: The increasing costs and consequences associated with operating water, wastewater drainage networksTraditional approaches to monitoring condition and deterioration are invasive and costly........But, monitoring technology advances have occurred in other sectors that are now relevant to water/wastewater/drainage networks

Intelligent Water Networks BackgroundTask: Identify, review and prioritise monitoring technologies for enhanced asset management of water/wastewater/drainage networks

Mapping technologies to asset types and performance indicatorsWater sector avoiding monitoring technologies that simply provide scientific innovationTechnologies providing business benefits merit further development Identified technologies must be matched to key assets and performance indicatorsSatisfy assessment criteria that clearly demonstrate the value of implementing technologyDemonstrate economic efficiency in technology investment

Mapping technologies to asset types and performance indicators

Use Failure pathways to identify system parameters that can be monitored for each asset type

Failure pathway diagrams provides constraint for identifying relevant technologiesMapping technologies to asset types and performance indicatorsTech IDTechnologyAsset type (s)Relevant failure eventPrimary distress indicator and pathwayAAcoustic instrumentation to monitor head loss/roughness/blockage Gravity SewerPipe Blockage (Reduced sewer conveyance capacity)Pipe blockage, Local constriction to flowBFlow velocity monitoring to detect sedimentationGravity SewerPipe Blockage (Reduced sewer conveyance capacity), Sewage spillDecreased flow velocities(insufficient for sedimentation suspension), siltation, blockage, sulphide generation through to internal corrosion, collapseCFlow monitoring to detect blockage in gravity sewers (Penine Water Group, Univ Sheffield)Gravity SewerPipe Blockage (Reduced sewer conveyance capacity)Pipe blockage, Local constriction to flowDReal time monitoring of dissolved Sulphide in sewersGravity SewerSewage spill Sulphide generation, internal corrosion, collapse EPressure transients to detect internal deterioration WaterBurst mainSpalling of cement mortar lining, internal corrosion through to burst mainEPressure transients to detect presence of air pocketsSewer rising mainsSewage spillPresence of occluded air, through to sulphuric acid generationFOptical fibre monitoring for structural condition (External)Gravity Sewer Sewage spillSoil movement, pipe deformation, Joint Leak FOptical fibre monitoring for structural condition (External)Sewer rising mainsSewage spillSoil movement, pipe deformation, Joint Leak FOptical fibre monitoring for structural condition (External)WaterLeak, Burst mainSoil movement, pipe deformation, Joint Leak FOptical fibre monitoring for structural condition (Internal)WaterLeak, Burst mainSurge pressure/cyclic pressure, Joint leakGSoil temperature/moisture/pressure sensing to infer structural conditionGravity Sewer Sewage spillSoil environment change, soil movement, through to sewage spillGSoil temperature/moisture/pressure sensing to infer structural conditionSewer rising mainsSewage spillSoil environment change, soil movement, through to sewage spillGSoil temperature/moisture/pressure sensing to infer structural conditionWaterLeak, Burst mainSoil environment change, soil movement, through to leak, burst mainHIn-situ Linear Polarisation Resistance to monitor soil corrosivitySewer rising mainsSewage spillSoil environment change, external corrosion through to sewage spillHIn-situ Linear Polarisation Resistance to monitor soil corrosivityWaterLeak, Burst mainSoil environment change, external corrosion through to burst main, leakISurface based resistivity to monitor soil corrosivitySewer rising mainsSewage spillSoil environment change, external corrosion through to sewage spillISurface based resistivity to monitor soil corrosivityWaterLeak, Burst mainSoil environment change, external corrosion through to burst main, leak

Can ensure that technologies are relevant to actual deterioration processes Have identified/matched monitoring technologies to various stages of failure pathway for key assets But: Water sector need to assess value proposition in each case and prioritise technologies for further development Multi Criteria Assessment to compare technologies against:Potential to save operational response costs and reactive maintenance costsPotential to save capital through renewal deferralRelative cost/asset coverage lengthFailure pathway coverage & ability for early detectionPotential to reduce social/environmental impactsAssessment criteria for monitoring technologies

Assessment criteria for monitoring technologiesTECH IDTECHNOLOGY DESCRIPTIONCRITERIA WEIGHTING AND DESCRIPTIONOVERALL SCOREOVERALL RANKING44323333322Potential to save opex response costsPotential to save preventative maintenance costsPotential to save capital through renewals or augmentation deferralPotential to improve Levels of Service at the same costRelative cost to procure and install technologyRelative cost to operate and maintain technologyRelative asset coverage (length) per monitoring deviceExtent of failure pathway addressed per monitoring devicePotential to reduce disruption through early failure detectionPotential to reduce environmental impactsPotential to provide social benefitTECHNOLOGY RANKING (1 = Worst, 5 = Best)AAcoustic instrumentation to monitor head loss/roughness/blockage 333343323239416 of 19BFlow velocity monitoring to detect sedimentation333344413229515 of 19CFlow monitoring to detect blockage in gravity sewers (Penine Water Group, Univ Sheffield)333334533441092 of 19DReal time monitoring of dissolved Sulphide in sewers4443232252310210 of 19EPressure transients to detect internal deterioration 444323434231083 of 19FOptical fibre monitoring for structural condition (External)444322444231083 of 19GSoil temperature/moisture/pressure sensing to infer structural condition444334144231083 of 19HIn-situ Linear Polarisation Resistance to monitor soil corrosivity444323134239912 of 19ISurface based resistivity to monitor soil corrosivity444333334231083 of 19JContinuous monitoring of H2S gas in sewer networks444323224239912 of 19KStatistical inference monitoring of existing network data333333533441068 of 19LPump performance and condition monitoring (Yatesmeter)333344113228619 of 19MIn pipe sewage chemistry monitoring (CSIRO)4443332242310210 of 19NCathodic protection monitoring444344314231083 of 19OInfra-red thermography444312223239017 of 19PReal time hydraulic modelling333333533441068 of 19QReal time water quality monitoring333333223238818 of 19RPermanent digital noise logging343343334441101 of 19SGround penetrating radar444323134239912 of 19Prioritised IWN technologies Top 6 IWN technologies from MCA prioritisationDetection technologies to minimise operational response and social/environmental impacts of asset failuresPredictor technologies for early indication of deterioration and potential failurePriorityTech IDTechnology Description1RPermanent digital noise logging for leak detection in water mains2CFlow monitoring to detect blockage in gravity sewers3FOptical fibre monitoring for structural conditionEPressure transients to detect internal deterioration GSoil temperature/moisture/pressure sensing to infer structural conditionISurface based resistivity to monitor soil corrosivity

Digital noise logging for water main leak detection

Cost-Benefit Analysis of TechnologiesFollowing Multi-Criteria Assessment, a quantitative analysis also undertaken for the most promising technologies Intended to predict the financial impact on a water utility during a pilot trial Costs capital, operating, maintenance, benefit realisation Benefits deferred capital, water saving, tech replacement saving, reduced reactive maintenance, environmental and social benefits

Cost-Benefit Analysis of Technologies For each technology, the benefit-cost ratio, net present value ($) and return on investment (years) were assessed Costs and benefits were calculated for a hypothetical trial area A sensitivity analysis was also undertaken to identify parameters that exert the greatest influence on NPV outcome

Cost-Benefit Tool: Example of Output

NPV outcomes most sensitive to reactive maintenance savings, but can be used to select pilot trial areasAn example of the output. Includes a brief overview of the context (what is the opportunity for each technology, how does the technology work in plain language), the scope of the pilot area and the risks (and possible mitigation measures) for each pilot trial.

Then, the tool displays a summary of the NPV over a 25-year period for the base case (where the calculated results are dependent on a number of input parameters and assumptions discussed earlier wherever possible using real data).18Cost-Benefit Analysis of Technologies: RecommendationsTech IDTechnology DescriptionNPV SensitivitySuggested pilot trial guidelines to maximise NPV25-Yr NPV (Average)25-Yr NPV (High)25-Yr NPV (Low)RPermanent digital noise logging-$241,302+$197,681-$451,418Large diameter, relatively old metallic mains in critical locations. This will target high consequence mains and test hypothesis that noise loggers can provide early detection ability to pre-empt high consequence bursts

Water mains constructed of MDPE. This will verify the enhanced performance of noise loggers in leak detection for low stiffness, noise-attenuating materials where traditional leak detection is difficul