Cost & Risk Via Fuzzy Logic Pump Centre Conference 2018 By - - PowerPoint PPT Presentation

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Management of Network Cost & Risk Via Fuzzy Logic

Pump Centre Conference 2018

By Robert Hale, Senior Consultant

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Riventa Ltd. are…

Background … probably the most innovative pump performance testing company

Riventa Korea Co. Ltd

Based in Seoul covering Asia

Riventa (UK) Ltd. Head Quarters

Riventa Inc. (USA)

Based in Las Vegas

Riventa CANADA Inc.

Based in Toronto

… an OEM of precision instrumentation and analytical software … a worldwide provider of high quality hydraulic analytics consultancy

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Recognition of Increasing Impact of Spills

Increasingly higher fines on top of existing clean-up & compensation costs

• Cat 1 & 2 pollution incidents for all 9 Water & Sewage Co’s are on a downward trend but are

seeing resistance at ~55/year.

• “There is no common root cause of incidents. The main factors which contribute are

inadequate monitoring and management, and shortcomings in risk assessment, operational practice and staff culture.” ref: EA Water & Sewerage Performance Summary 2016

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RISK MANAGEMENT PROTOCOL

Pumping Station Reliability Planned Maintenance Efficiency Storm Water Management

Trustworthy Performance Data Tailored Control Philosophy Maximise Available Forward Flow Capacity Matching of Pumps to Demand Standard Maintenance Procedures Common Standards Proactive Maintenance Asset Exercising Preventative Maintenance Redundancy Minimisation & Commonality

• f Spares

Fuzzy Logic Controller

Utilisation of surge storage where available BAT

Reducing Risk & Cost via Improved Control

Use of Fuzzy-Logic Controller to Improve Risk Management

Tailored Control Philosophy

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• Consider Following

Example:

• Fixed speed

submersible pump in a standard SPS sump

• Operating at BEP
• Running to a relatively

low sump level under dry weather flow conditions

• Control limited to local

SPS only

• Higher sump level  Lower

Head  Lower kWh/Ml

• Higher sump level  Lower

‘Time to Spill’  Higher Risk…

• Therefore, need to intelligently

balance Risk vs. Energy Savings

• Link series of SPS’s together to

improve management of both:

• High-flow events (Storm)
• Reduction in capacity

(Breakdown)

Reducing Cost via Sump Level Control

Sensitivity of Sump Level to Energy Consumption

Static Head = 8m Static Head = 6m Reduction in kWh/Ml of 12% Reduction in Hydraulic Efficiency of ~0.5% Sump Level now 2m Higher.. At BEP

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N1 N2 System Curve 1 System Curve 2 h1 h2

Q H h

Prevailing Flow Rate, Q

Potential Hydraulic Power Savings: DPH = Q . DH . r . g Electrical Power Savings: DPE = Q . r . g . [ (H1/h1) - (H2/h2) ]

Reducing Cost via Level Control & VSD’s

Use of VSD’s & Sump Level to Reduce Energy Usage Pump Head reduction, and so Level SP, is dependent on risk to the process (e.g. ‘Time to Spill’) Scenario: SPS Wastewater Pumps Operating with VSDs controlling to maintain a set inlet sump level. DH

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Fuzzy Logic Example

Simulation of Typical SPS Installation Assumptions:

• 1. Variable Speed Pumps

controlling to a set inlet sump level for variable flow.

• 2. 2 contrasting scenarios:

a) Conventional level cascade b) Fuzzy Logic Control

• 3. 2 membership functions

considered for second scenario:

a) Flow rate of influent b) Rate of change of influent

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Energy Savings = 27%

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• Risk Reduced Locally & Across

Network: Linking controllers across a sequence of SPS’s

• Reduction in Energy

Consumption: Higher sump levels during low risk periods lead to 20%+ energy savings

• Low Cost Deployment: Much

hardware already in the field that is capable of performing this method  fast to implement

Over-Riding Benefits

Improved Risk Management + Reduced Energy Consumption

• Linked controllers allow all sumps

and interlinking sewers to be considered one system

• Temporary reduced capacity (e.g. ragging)

leads to alternative operating configuration

• Links to met office storm predictions 

reduce levels and increase storage capacity

• If spill unavoidable, can choose to spill in

location with least impact

• Pump unavailability changes risk profile

and potential membership function (cost

• f inaction can be measured)

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Next Steps

Requirements for Next Stages of Evolution

Plan:

• Industry-ready concept
• Proven in simulated environment
• Potential for hardware-agnostic

solution

• Riventa have cloud and/or SCADA

based platform

Do:

• Develop risk measurement

protocols for membership functions using industry specific data & info

• Pilot concept via collaboration with

Water company and framework SI provider(s) leveraging cumulative knowledge base

Check:

• Analyse success criteria and

implement any design changes

• Appraise functionality and devise

ideal sites for deployment

• Business case to maximise ROI,

potential for IIoT, Energy Efficiency, and Network Resilience

Act:

• Phased low risk horizontal

expansion increasing in scale with progressive and proven achievements

Complete To Be Arranged

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THANK YOU

Riventa Ltd (UK) Unit B, 1Walker Business Park Threemilestone Industrial Estate Truro, Cornwall TR4 9FB, United Kingdom Telephone: +44 (0)1872 260005 Email: info@riventa.com Visit: www.riventa.com