Why Power Quality MattersT h e m o r e y o u k n o w t h e m o r e y o u c a n m a k e a d i f f e r e n c e
Why Power Quality Matters• Focus on Business Drivers - Trends and Issues
Power Basics – Brief Refresher• Standard Definitions • Causes and Symptoms of Poor Power Quality• Impact of Poor Power Quality
TQM Approach to PQEM • From Floor to the Cloud in 3 Easy Steps• Delivery Challenges, Issues, and Impact
Software Demo and PQ HMI Discussion
Discussion
Today’s Agenda
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Energy is the largest unmanaged industrial expense
30% US energy consumption, 70% growth by 2035
Over 60% of Fortune 100 companies public announcements
2015 UN Climate Change Initiative, less than 15% use software*
Many not tracking to targets
30-70% unplanned downtime due to PPQ ($$$) **
Energy management can result in substantial savings
C o n s u m p t i o n U s a g e , P a t t e r s a n d T r e n d s
Why Power Quality Matters
Source: US Energy Information Agency*Rockwell Automation**
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Why Power Quality MattersF o c u s i n g o n t h e B u s i n e s s D r i v e r s
Operations Costs Regulations
Disruptions
Preventive maintenance
OEE and asset life ???
OXE
Quality
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Why Power Quality MattersC u r r e n t R e a l i t i e s a n d O p e r a t o r C h a l l e n g e s
Collaboration CriticalOperations daily tasks
Complexity – 4PsConnection 4 Vs of Data
Security Culture
Less 15% monitoring
30-70% disruption
caused PPQ
Requires team tied
to outcomes
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Electronics Explosion2 way street, infrastructure
New Technologies non-linear loads
TDC varies by industry - $5MM/hrScrap and quality
Regulatory (EPA, FDA, etc.)Reputational damage
Basics of Power Quality
P o w e r B a s i c s a n d t h e C a u s e s , S y m p t o m s a n d I m p a c t o f P P Q
IEEE 1159 into facility
IEEE 1134 within facility
ISA 18.2 Alarming of events
ISA 101 HMI visualize and act
A p p l i c a b l e S t a n d a r d sPower Quality Basics
Source: IEEE, ISA 7
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S a m p l e o f P o w e r Q u a l i t y E v e n t T y p e s
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Power Quality Event Types
Voltage Sag/SwellHarmonics
Transient
V o l t a g e S a g s L a r g e s t C u l p r i t
Cost of Poor Power Quality
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Sag (0.5 cycles – 60s)
Unbalance (Fluctuating)
Noise (constant)
Harmonics (Constant)
Swell (0.5 cycles- 60s)
Notching (Constant)
Undervoltage (>1 minute)
Overvoltage (>1 minute)
Interruption (0.5 cycles - >1 hr)
Transient (<50ns – 5 ms)
$ $$ $$$ $$$$
Freq
uenc
y of
Occ
urre
nce
Very
Low
Lo
wM
ediu
mHi
gh
Mostly random events – weather, cars, construction, trees, animals, Gladys Kravitz
Starting of large loads, motors, poor connections and grounding
Immediate and long-term damage to sensitive equipment
Explosion of Deployed Technologies (VFDs, LED)
Increasing Prevalence of PQ Events and Issues
T h e T r a d i t i o n a l a n d N e w C u l p r i t s o f P P QPower Quality Basics
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TQM Approach to Power Quality
P u t t i n g P o w e r i n y o u r P o c k e t
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R o a d m a p t o R e a l - T i m e P Q M o n i t o r i n g
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Step 1: Comprehensive Assessment
Plant Walkthrough
Plant PersonnelReview of Key
Documents Analyze and Interpret
Engineer, Design and
Deliver
Step 2: Connect, Collect, Visualize
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W a v e f o r m C a p t u r e a n d M o r e
Source: Sytech (pages 15-16) 14
Step 3: Customized Reporting and Actions
• Industry Standard Philosophy, Guide, Format
• Design of the customizable HMI – design meets operations• Uses network to communicate RTU/PLC – 4 Vs• Questionnaires, interviews, workshops - KPIs• Diagrams (PFDs and P&ID) used as source documents*• Displays – navigation hierarchy, realms, scope, security
• Think Big Engine – scale, evolve, custom, open standards• Alerts, Alarms and Notifications (Hierarchy, time, link)• Historian, trends, reporting, alarming, backup, security
HFE and Cognitive Brain – launch pad
I S A 1 0 1 ( 2 0 1 5 ) H u m a n M a c h i n e I n t e r f a c e
How Value Is Presented
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• KPI Reports, Dashboards and Templates• Alarm Reporting (trend, severity, type, custom)• Efficiency Reporting (OEE, OXE)• 1159 Power Quality Reporting (into the plant)• PQ Impact – Health and Diagnostics Reporting• Custom Reporting
• User Support Critical – know the Ws• If user don’t like, recognize, understand – they won’t use
• Evolution Path – from Basic to Advanced Analytics• How can the HMI be used to display other insights?• Correlation of data – root cause analysis• Advanced analytics (predictive and preventive diagnostics)
P o w e r i n Y o u r P o c k e t
Value Delivered
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To the CloudsPQ in the Cloud is a Game Changer
• Amazon – A Data Company
• Chambers 2014 World Economic Forum
• PQ + Data = Today’s Manufacturing Home Run
• Cloud Based Hosted Services• Fast delivery of services, 3 legged stool critical• Rapid ROI (CapEx, OpEx)• Focus on core competencies, outsource experts to allow team focus
• What’s In Store for Tomorrow• Quickly moving to advanced analytics (predictive / preventive)• Beyond Pareto, OXE
Focus on the value drivers – the solutions become clear
Thank You!Dianne Denison and Matt Moore, PE(717) 386-5159
[email protected]; [email protected]
DenisonConsultingGroup.com