USING DATA ANALYTICS TO MONITOR AND REDUCE ENERGY CONSUMPTION€¦ · MONITOR AND REDUCE ENERGY...
Transcript of 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
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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
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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
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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?
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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
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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