using data analytics to monitor and reduce energy consumption€¦ · monitor and reduce energy...

USING DATA ANALYTICS TO MONITOR AND REDUCE ENERGY CONSUMPTIONJEFF NEEMANN, JACQUES BRADOS, PAT SCHLOTZHAUER, JON DOANE

Oct

ober

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• Moore’s law on data• Generate 90% of data in last two years• And the next two years……• 40 zettabytes by 2020 (40 x 1021)

• 1 trillion internet connected devices• 140 per person

• More computing power in car ignition that Apollo 11• IBM building computer to crunch 2014 internet traffic in

one day

WE ARE EXPERIENCING A DATA EXPLOSION

October 2015

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B&V J.Neemann | Using Data to Reduce Energy Consumption |

October 2015

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Storage cost of 1 GB: • 1981 - $300K • 1987 - $50K • 1990 - $10K • 2000 - $10 • 2004 - $1 • 2012 - $0.10

•2014 -- FREE!!

• 15 GB Google Drive

THE COST OF STORAGE

CAN WE TURN ALL THESE CHANGES INTO OPPORTUNITIES

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Smart Integrated

Infrastructure (SII):

The convergence of physical infrastructure, communications and

data analytics to enable system-wide synergies and value

Enabling more efficient, reliable, cost-effective and convenient delivery of essential services

SMART CITIES ARE ON THE RISE

October 2015

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“Connected Chicago Catches Crooks, Controls Rats”

“Kansas City, Mo and Cisco Launch Plan to Enhance Connectivity and Innovation through Smart+Connected Communities Framework”

“San Diego Region Deploys ‘Internet of Things’ to Advance Smart City Goals”

“Get Smart: IEEE Preparing Cities for Population Boom”

SMART INTEGRATED INFRASTRUCTURE IS A JOURNEY

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Integration Progressionlow

low

high

Stra

tegi

c Im

pact

Industry Average

I. Smart Network Device Connectivity Smart Grid

Data Information Knowledge

II. Smart Information Data Aggregation and Analysis Smart Single-Use Infrastructure

III. Smart Utility Multi-System – Multi-Facility

Aggregation

IV. Smart Infrastructure Multi-Utility Integration Physical – Cyber Integration

IV. Smart Infrastructure Multi-Utility Integration Physical – Cyber Integration

Mar

ket T

oday

Industry Defining

high

Industry Best

Wisdom

Spend time analyzing not collecting

DATA AGGREGATION AND VISUALIZATION

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How many “one-time” spreadsheets answers exist on hard drives?

HOW MANY SYSTEMS/PEOPLEDOES IT TAKE TO GET YOUR DATA?

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Water District

Water Treatment

East WTP

South WTP

West WTP

Train 1

Train 2

Train 3

Water Quality NTU & pH

Tap Analysis

Chemical Usage

Train 4

Ozone

Water Quality Other

North Finished Water South Finished Water

-35.00

-25.00

-15.00

-5.00

5.00

15.00

25.00

1/1 1/8 1/15 1/22 1/29 2/5 2/12 2/19 2/26 3/5 3/12 3/19 3/26 4/2 4/9 4/16 4/23 4/30 5/7 5/14 5/21 5/28

CCPP

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• Collision avoidance systems• “System of sensors”• Data on other cars, speed, traffic lights• “Central database”

• Weather• Traffic

• Warn the driver• Actually control the car

Will this eventually be on all cars?

WHAT IS AN EXAMPLES OF SMART ANALYTICS?

October 2015B&V J.Neemann | Using Data to Reduce Energy Consumption |

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• Water demand management• What is my hourly demand projection?• Can I predict my tank levels

• Carbon management• Should I be driving carbon towards my

aeration basins or my digesters?• Does the answer change day to day?

Hour to hour?

• Energy management• Can I make demand response work for

me?

WHAT DECISIONS ARE WE NOT MAKING BECAUSE THEY ARE TOO COMPLEX?


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• Can we use mathematical model with process understanding to create value?

• Can we capture 80% of the value?

Match complexity of solution to complexity of the problem

DO I NEED TO PUT IN A BUNCH OF INSTRUMENTS???

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• Capitalize on intersections of data• Asset health – CMMS and SCADA• Current year plan – financial and SCADA• Treatment optimization – SCADA and laboratory

• Systems working with systems• AMI data for more than just a bill

• Leak detection, pumping energy, production• Balance your wastewater as a resource

• Collection systems, treatment, energy recovery, reuse

• Whole life cycle asset management• CMMS plus condition and risk based

WHAT MIGHT A SMART UTILITY LOOK LIKE?

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Plan

• Technology Assessment• Assess data

requirements• Data

integration plan• Business Case

Evaluation• Prioritize ideas• ROI calculation• Roadmap

Integrate

• Data Hub• Connect data

silos• Utility-wide

access• Dashboards

• KPI calculations• Open data

visibility

Leverage

• Business Intelligence• Planned vs

actual• O&M Analytics

• Performance monitoring

• Asset health & planning

BUILD TO VALUE WITH DATA

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DATA AND ENERGY

Bring it togetherStandard calculationsVisualization – right detail

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ENERGY EFFICIENCY / RECOVERY OPTIONS CONSIDERED OR IMPLEMENTED

45.9%

44.3%

43.8%

39.1%

30.7%

28.0%

21.7%

4.1%

6.5%

7.6%

Reduce losses or other efficiency improvements toreduce water processing/handling requirements

Using distribution modeling tools to bettersize/optimize pumps/pipes

Implement software and/or data analytics programs

Renewable energy programs

Restructure wholesale electric supply contracts

Waste-to-energy programs

Recover energy through in-line hydro

Other

Not focused on energy efficiency measures or costs

I don't know

Respondents which of the listed items their utility is considering or has implemented in order to proactively manage energy costs.


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Source: Black & Veatch 2014 Strategic Directions: U.S. Water Industry

Let’s get out of the spreadsheet world

BRIDGING THE DATA SILO GAP

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Lab Samples

GIS Data SCADA Data

Plant Design Basis Power Monitoring

Asset Management Electric Utility

Water Meter Usage

Data Hub

• Find the right KPIs• kW, kW/gallon, kW/ppd• $, $/gallon, $/ppd

• Not everything has to be metered• Pump is on or off – hp• Flow and pressure• System power monitor• Pump power monitor

Changes and trends are important – not exact value

STANDARD CALCULATIONS


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Highlights on the front pageExecutive Level - More detail further back

CONSIDER CRAFTING A MESSAGE WITH HIGH LEVEL DASHBOARD

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Supervisor Level- More detail further back

AGGREGATE VIEW FOR DECISION MAKER

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Give the detail that is needed

NOW LET’S SEE EVERY DETAIL…….

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• District metered area has a well site and a pump station with reservoir• What is the least expensive source of

water based on energy?• Minimal information is needed

• Flow rate, pressure – SCADA• Electric rate – Electric company• Pump curves – Design documents

Determine most energy efficient water source

DISTRIBUTION ENERGY SELECTION


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• Electrical cost per million gallons

• (Electrical power cost/(Gallons/1,000,000))

Calculations on calculations on calculations

CALCULATION TEMPLATE

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Looks like they have the operational flexibility to choose either $53/MG vs. $54/MG

DISTRIBUTION ENERGY


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• Well Site• 34.7 MG• 31 mWh• $1,855• $53/MG

• Pump Station• 32.2 MG• 23 mWh• $1,649• $54/MG

• Pump Station is more electrically efficient• 1.427 MG/mWh vs 1.129 MG/mWh

• Well site is on a more advantageous electrical billing rate• Seasonal Rate vs. Time of Use

• Changing billing rate saves 21% • Still considering the operational changes

Can we automate the information visibility?

DISTRIBUTION ENERGY- LOOK CLOSER


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• Well Site• 34.7 MG• 31 mWh• $1,855• $53/MG• 1.129 MG/mWh

• Pump Station• 32.2 MG• 23 mWh• $1,649• $54/MG• 1.427 MG/mWh

• Integrate data – SCADAand AMI

• Daily water accounting

• Add strategic flow meters• Refine water loss – virtual DMAs

• Energy Focus• Develop water demand projections• Develop pumping plan and tank level projections• Reduce pumping energy

BPU PILOT PROJECTAPPROACH

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CHALLENGE SOLUTION

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COMPANY and GOAL

LEVERAGING ASSET360TM FOR ENERGY OPTIMIZATION

The City of Lawrence, Kansas provides water and wastewater services and wanted to optimize energy use at its Wastewater Plant

Energy was monitored at plant level but operations staff didn’t have view into energy use of each asset

B&V Monitoring and Diagnostics services leveraged by the PI System and ASSET360

• Build standard calculations

• Show energy KPIs

• Use B&V technology experts to remotely monitor energy

• SCADA system has some information

• Lab system had WQ data

• Not easy to see energy with WQ

https://www.lawrenceks.org/

https://www.lawrenceks.org/

FINAL THOUGHTS

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• Benefits of data integration• Spending time analyzing not

generating data• Seeing the KPIs and factors

• Drive energy visibility• Estimate if we don’t meter• Looks for trends and changes• Create a challenge

Where is your opportunity?

DO YOU HAVE A DATA OPPORTUNITY?


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using data analytics to monitor and reduce energy consumption€¦ · monitor and reduce energy...

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