Panel 3: Actualising the · 7/26/2020 · and maintenance information using WordPress •...
Transcript of Panel 3: Actualising the · 7/26/2020 · and maintenance information using WordPress •...
Panel 3: Actualising the
Benefits of Digital Twins9:10-9:55 pm BST
Moderator: Bob Taylor, CEO (Portsmouth Water)
Nigel Watson, CIO (Northumbrian Water)
Sean O'Boyle, Asset Information Development Manager
(Northern Ireland Water)
Celine Hyer, Water Conveyance Practice Leader, Senior Vice
President (ARCADIS)
Patrick Bonk, Software Solutions Lead – Asia Pacific (Innovyze)
Alberto Deponti, Product Manager (Siemens)
Digital Twins at NWG
The NWG
Digital
Water
Company
Vision
The NWG
Digital
Water
Company
Vision
SMART NETWORKSWe adopt smart technologies to give us a deep understanding of our current performance and simulate future scenarios, enabling us to drive more targeted improvements to our KPIs.
Initial Analysis
Visit Optimisation
Asset Reliability
Power Use
Flood Risk
LTRAcdnt
Low Press
Taste odour
CMEX
Travel Time
CSO Spills
ChemUse
• Data ScienceVisit Optimisation
• Digital TwinAsset Reliability
• DiscardPower Use Digital Twin Model
Site 4
Site 3
Site 2
Site 1
Roll out to other similar Assets
Digital Twin
Pipeline
Digital Twin Model
SCADA SensorData Lake
Maximo Mobile App
Digital Twin
Integration
Digital Twin
Roll Out Once we have a twin built we can rapidly roll out to
other similar assetsthat have
equivalent data available
Customer Digital Twin
• Reducing water poverty
• Understanding & influencing CMEX
Triad Power Use Reduction
• Reduce energy use during high cost periods
• Driving opex efficiency
Sewage Pumping Station Predictor
• Early warning of SPS failure / identification of sub-optimal performance
• Reducing pollution incidents
Aquadapt - Distribution System Optimisation
• Optimising network distribution based on tariffs and treated water costs
• Optimised pumping schedule leading to reduced costs
CSO Spill Reduction
• CSOs at risk of operating outside consent
• Positive impact on pollution incidents & bathing water quality
Digital Twin Projects
Maturity ➔
Smart Water Networks ForumActualising the Benefits of Digital Twins
Sean O’Boyle
Asset Information Development Manager
18/11/2019 WB00006-18686
What is a Digital Twin?
Digital Twin
Common Data Environment
Smart Data
BIM
GIS
Hydraulic
Modelling
Architecture
System of Record
Visualisation
SCADA
Telemetry
Asset RegisterCAD
Smart Processes
Finances
Asset Data Definitions
Governance
Protocols
Our key challenge
© BlueMikeSpecial | Minecraft
Decision
Support
Work
Management
Asset
Maintenance
Scheduling
Rapid
Response
Business
Analytics
Location
Intelligence
Reactive
Work
Scheduling
Cost to
Serve
£Capital
Delivery
Systems Integration
(e.g. Source to Street,
Street to Sea, RAPID,
Telemetry, DIAMOND)
Outcomes
Are Asset Management and BIM a Natural Fit?Celine Hyer, PE, IAM
Senior Vice President
Asset Management Focuses on Decision Making Over the Full Life Cycle of the Asset
IAM Asset Management Model • BIM historically has focused on only on the design phase of an asset
• Capabilities exist for much more:• Shared knowledge resource for asset
attributes, O&M requirements, performance, etc.
• Collaboration platform for decision making
• Digital representation of the physical and functional characteristics of a facility
First Step is Alignment Between AM and BIM
• Asset Hierarchy
• Asset Definitions
• Attributes
Use or disc losure of data contained on this sheet is subject to the restr iction on the title page of this proposal or quotation.
Maintenance CMMS
OperationsEOM
3D BIM
Case Study: Chlorine System Information Management
• 3D Model: Develop a 3D Building Information Model (BIM)
• Operations: Collect and populate the web-based Electronic O&M Manual (EOM) with operations and maintenance information using WordPress
• Maintenance: Review and update preventive maintenance tasks and schedules in the CentralSquare Lucity Computerized Maintenance Management System (CMMS)
• Information Management and Access: Integrate 3D BIM with existing CMMS and EOM
Integrating Asset Creation and O&M
Benefits
• Effective one-stop access to asset information; connects digital asset with O&M information
• Reduces duplicate efforts
• Better understanding of managed asset
• Integrate planning, creation, operations and maintenance phases of the asset lifecycle
Plan / Create
Dispose
Maintain
Operate
Adoption of Digital Twins
Patrick Bonk, Software Solutions Lead
P.Eng., M.Eng.
Aligning Operational Models, Analytics & AI
Digital Twins for the Problem You’re Solving
PRESENT/NOWNow & last 24-48 hours for evolving conditions.Real-time Optimisation, Asset Performance, Incident & Day-to-Day Management
PASTHistorical Analysis 1-24 hours, 1-24 months for near, longer term and seasonality considerations Compliance Reporting, Pump Performance, Maintenance Programs, Asset Condition & Capacity.
FUTUREForecast & Predictive Recommendations 4-8 hours at level of the asset, 5-days for network level.Contingency Planning, Crew Safety, Emerging & Evolving Risk, Energy Reduction & Maintaining Compliance
Wellington Water digitises preventative asset maintenance with Cardno
Innovyze Operational Analytics Approach:A data modelling application with workspaces open to the end
user’s expertise and unique data needs to inform operational
and network performance decision making.
KPIs:
• Continuous monitoring & testing of pump performance
• Reduce Energy Opex
Highlights:
• Eliminate antiquated Excel spreadsheet calculations and free up time for analytics and performance monitoring.
• Utilise internal and external expertise.
• Streamline, standardise and scale analysis.
USER STO RY
Thames Water predictive alerts for sewer crew safety & deployment
Highlights: • Trusted alerts to support health and safety decisions on person entry
into live sewers.
• Streamlined decision support frameworks to articulate complexity of crew safety.
• Forecast rainfall data available and continually improving for predictive use cases.
KPIs:
• Spatial Rainfall predictions with 5-7 day and 4-6 hour forecasted alerts.
• Discernment on hydraulic results for individual assets 4-6 hours in advance.
Innovyze Operational Model Approach: Predictive Decision Support tool provides a future state of networks with a degree of trust to protect workers.
USER STO RY
Innovyze AI Approach: Control aeration blowers to optimise reactor dissolved oxygen levels while satisfying effluent compliance limits
Emagin AI was able to learn their complex process
Providing significant OPEX cost savings
Canadian city optimises energy costs while maintaining compliance with Innovyze AI
KPIs:
• Reduce energy OPEX
• Maintain effluent compliance limits (Ammonia, TSS, COD)
Highlights:
• Value Based, ROI of 6-Months
• Predictive, Real-Time Recommendations
• Saved 29% in Energy Costs while meeting stricter compliance
USER STO RY
Ease of Adoption
+ Self Adjusting AISelf adjust to system & environmental changes in real-time.
+ Remote Install & Remote AccessWorking from home innovation is happening out of necessity.
+ Conserve Costs on your Existing BudgetReduction of Energy & Chemical Costs while maintaining compliance without having to request new budget.
Continuous digital thread
for the water industryAlberto Deponti
Simcenter Flomaster Product Manager
Where today meets tomorrow.
.
Unrestricted © Siemens 2020
Unrestricted © Siemens 2020
2020-07-21Page 25 Siemens Digital Industries Software
Continuous digital thread for the water industry
Ideation
Operation
Realization
“Static and dynamic hydraulic modeling of the area’s town water supply
system performed in Simcenter Flomaster assists in optimizing critical
plant components and result in lower life cycle costs and more reliable
system operation.”Terry Kehoe, Director, Kehoe Myers Consulting Engineers
Jurgen Sprengel, Principal, JS Pump and Fluid System Consultants