Slide 1
WW OPS-6
Transform Energy Data into Operational
Information with Wonderware Corporate
Energy Management
Bill Schiel
Director- Global Business Development
Rudy Engert
Business Development Manager – CEM &
W/WW
Christian-Marc Pouyez
Product Manager – Intelligence & CEM
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Agenda
CEM problem statement & definition, opportunity
CEM product description
• Integration with ArchestrA System Platform
Demo
• CEM, Intelligence, Workflow, Reports,…
Business cases
Roadmap
Slide 3
Definition Of Corporate Energy
Management
What is CEM?
"CEM" refers to sets of actions that move accountability for
energy outcomes to upper levels of the firm. With CEM,
energy is no longer the sole responsibility of plant managers
and engineers; in fact, CEM programs are designed to involve
many areas of business activity, such as accounting,
marketing, and others that were not traditionally concerned
with energy. Bringing corporate-level attention and
management into the picture helps to ensure enterprise-wide
opportunities are explored.
From US Dept of Energy: http://www1.eere.energy.gov/industry/bestpractices/corporate_energy.html
Slide 4
CEM is an *EMS Designed for Manufacturing
•
Specified by the Invensys voting member of ISO 50001 US TAG
•
A clean-sheet design, a configurable application
•
Intended for use by manufacturing and heavy industrial operations, but
also applicable to any energy consuming enterprise
•
Bridges energy use data and manufacturing operational data
•
The only product on the market that produces real-time Energy
Performance Indicators for Intensity
•
Closes the loop on information through an integrated workflow
component that drives accountability
* EMS is Energy Management System
Slide 5
CEM and Enterprise Control for Energy
Big Picture Concept:
Solve a corporations energy
management initiative for ALL
energy consuming assets:
• Factories and Plants
• Research centers
• Distribution Centers and
Warehouses
• Offices
Approach:
• Use CEM, SP, EMI, AWF, and
other components for a total
solution
• Provide Local level detailed
information for day-to-day
operations
• Corporate level reports and
analysis for weekly, monthly
use
• Energy Consumption used for
Activity Based Accounting
for Energy-ABC4E
• Energy Consumption fed to
Green House Gas and resource
reporting
Slide 6
Energy Management is a Straight-Forward
Concept
Why do manufacturers and industry have energy management
initiatives?
Financial Benefits
– Spend less: Reduce Energy-Spend as an indirect cost
– Use less: Reduce Energy Cost in COGS (materials+labor+energy)
– Avoid unplanned cost: energy-use penalties (demand charges, surcharges)
– Resource Availability: Plan for, and respond to, unreliable energy supply
(brown-outs)
Corporate Responsibility
– Triple Bottom Line: Profit, People, Planet
– Demanded by their customers (standards eg: Walmart)
– Demanded by their governments (Regulations)
Slide 7
What is Return on Investment?
Example for Electricity
We Need to know:
– Annual and Monthly
Consumption Spend on Energy
What CEM can do:
– Decrease consumption spend
10-30%
• Example: Annual $240,000,
monthly average $20,000
• 10% of $240,000 = $24,000
year
– Surcharges for excess total
usage and demand penalties
• 30% of $240,000 = $72,000
• Example: 10 charges per year,
total $50,000
– Total Annual Spend $260,000
– Avoid Surcharges
• ½ avoided = $25,000
– Total Decrease of $49,000 to
$97,000 year
Investment is Software+Hardware+Services and will vary with EVERY project
based on the application and the state of the energy metering infrastructure
Slide 8
Key Concept: The Journey
Ad Hoc
Slide 9
9
Awareness
Managed
Ad Hoc
Ad Hoc
Awareness
Managed
• The “Low Hanging Fruit” is addressed
– Energy efficient lighting, occupancy sensors
– Variable speed drives installed
– Low flow water fixtures installed
– Spot check and manual reporting of energy/water usage monthly or weekly
• Challenges
– Did it work?
– Is it still working? “Low hanging fruit grows back”
– Are there unintended consequences?
– What if Roberto leaves?
Slide 10
1
Evidence
Slide 11
1
Awareness
Ad Hoc
Awareness
Managed
• The organization learns about energy use and adapts
– Sub-metering gives more granular usage
– Experiments occur… what if we did this..? Kaizen in action!
– Investments are made knowing ROI can be determined
– Weekly, Daily, Shift reports become part of normal operations management
– Real-time notification of success, deviations, failures
• Challenges
– Demand for more meaningful data, related to what people are responsible for
– Knowing deviations and failures is good, but can we prevent them?
– Are there unintended consequences?
Slide 12
1
Managed
Ad Hoc
Awareness
Managed
• Energy Management is an organizational competency
– Everyone knows how energy usage and deviation effect financial
performance
– Energy is managed as a variable cost and used by ERP for planning
– The benefits of the energy management are sustained year after year
– Automation is in place to prevent deviations
– Smart Grid becomes a competitive advantage, bring it on!
• Challenges
– Change
– Continuous improvement
Slide 13
CEM Product Description
Slide 14
Context Transforms Energy Data to Energy Information
Production Worker
InTouch HMI
•Real-time view of
energy usage
•Real-time KPIs
Web Portal
•Run Pre-configured
reports
•Analytics, Trends
Energy
Information
Internal Context
•Operational Events from
automation and MES
•Asset State from
automation
•Order, Batch, SKU
Usage Context
External Context
•Weather- Current,
Forecast
•Utility Rates
•Demand Response
Signals from Grid
Corporate
Energy Manager
Energy Manager
Controller/Accountant
Intelligence- EMI for
Operations
Energy Metrics
Corporate
Energy
Management
Application
(CEM)
Energy Usage
ERP/MES
Work Request
Asset
Management
CMMS
Energy Usage
Rich Data
Data
Automatic
Slide 15
1
5
•Direct to Meters (also wireless)
•Meters thru PLC/DCS
•RTU from remote sites
•Building Management System
•Utility Interval Readings
Corporate KPI
Mobile
•IntelaTrac
•Mobile Data Collection
Advanced
Analysis and
Simulation
Energy Management Application Components
inTouch
for real-time
view of energy
usage
CEM
System Platform
Offline
Meters
IAS
Work
Flow
Meters for:
•Electric Power
•Compressed Air
•Steam
•Water
•Gas
•Chilled Medium
16
Slide 16
Historian
WIS
Energy
Database
DASPLC
Industrial
Automation
Intelligence-EMI for KPIs
WIS for usage
reports
PLC
DCS
Online
Connected
Meters
DASModbus
DASBACnet
Building
Management
System
BACnet
LonWorks
SmartGlance
Mobile
Reporting
CEM Meter Objects
Energy Usage Transactions
Accept External Rate Schedule
Meter Objects
•Manage Device (meter)
•Configure & Apply Rate Schedule
•Read meter at intervals
•Collect data values to add context to
reading
•Collect additional data from meter and
send to Historian
•Store and forward
CEM Engine Service
•Single Connection to Energy
Database
•One per Engine
• Tested with 500 meters
•Throttle DB access based on
CPU
Historian
Energy Data Points
ArchestrA Infrastructure
And I/O Drivers, Alarms
Alarms
Meter Related Alarms
Makes Dumb Meters Smart!
Slide 17
Energy Database
CEM Event Objects
Energy Usage Events
Examples of Events
•Production Order
•High Flow
•Equipment State
•Shift
Event Objects
•Triggers defined and monitored
•Assign meters to relate to event
•Trigger meters to read
•Collect data values to add context to
event (lot ID, process values, etc.)
•Collect additional data from meter
and send to Historian
CEM Engine Service
Energy Database
•Single Connection to Energy
Database
•One per Engine
• Tested with 500 meters
•Throttle DB access based on
CPU
Energy Data Points
Historian
Event Related Alarms
ArchestrA Infrastructure
And I/O Drivers, Alarms
PLC Registers, Database queries, MES
objects, etc.
Slide 18
Event Related Alarms
Alarms
CEM Data validation/editing
Slide 19
•
Offline mode
•
Data Editing
•
Interpolation of gaps
CEM 1.5
Release: November 2012
Slide 20
•
Performance for 30,000 meters
•
Wonderware Intelligence Model and content for
CEM
•
Auto-interpolation of Offline data
•
Reports improvement
•
Billing Report
Performance
Ensure performance for 30,000 meters for:
•
•
•
•
•
Configuration (Hierarchies)
Runtime (define architecture platforms/engines)
Visualization (Summary display)
Reporting (parameterizing and execution)
Editing (CEM Web App)
Provide a Deployment guide
Assumptions:
• Single galaxy
• 3 years of data @15 minutes recordings
Slide 21
CEM 1.5
Intelligence for CEM
•
CEM 1.5
Self-Service access to CEM data. Enable end-users to:
• Do their own analysis of CEM data
• Build their own reports/dashboards on CEM data
Slide 22
•
Put CEM data in context with other sources (MES, Historian, alarms,
etc.)
•
Quick time to value with pre-defined content
CEM Reports
Slide 24
WonderEnergy Demonstration
Slide 25
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A simulated Brewery
•
Consumes electricity, gas, and water to brew beer
•
Underlying simulation to “operate” the brewery
•
Shows real-time and historical information
•
Used to demonstrate concepts and features
CEM Use Cases
Slide 26
Use Cases
1. Food and Beverage Plant
2. Large Campus
3. Central monitoring of distributed sites
Slide 27
Food and Beverage Plants
Single Plant- Stand-alone
Multiple Plants- 9 Plants on one system
Global Rollout- Dozens of plants
Slide 28
Large Campus
Example 1: Combined Building Automation and Energy Management
Example 2: Energy Management with Future for other applications
Slide 29
Central Monitoring of Distributed Sites
Example 1: 2000+ Distributed Sites
Example 2: Central Reporting from global locations
Slide 30
Energy Management Scenarios Enabled by Workflow
 Peak demand charge avoidance
 Reduce load to avoid charge
 Automated Demand Response in complex operations
 Day ahead- opt in/out
 Day of- execute, recover
 Co-Gen Make vs. Buy
 When wholesales prices for gas give better value than electricity
 Energy usage based maintenance
 Detect plugged filters, failing motors and equipment
 Notify maintenance people and CMMS
 Energy data collection system not working properly
 Notify maintenance to investigate and fix
 Notify Energy Manager that data gaps exist
Slide 31
CEM Roadmap
Slide 32
CEM 2.0 - Ideas
New
ideas
Config.
Productivity
Diagnostics
Tools
VEE
Voice of
Customer
Program
Demand
Response
DB
Maintenance
Target
Tracking
CEM 2.0
Slide 33
Meter
Manage
-ment
Target Monitoring
CEM 2.0
Target Definition: energy measure, reference period or event,
meters, minimum & maximum, deviation,
One or more target by meter, event
Input of targets by: Input Source, File, Database object (similar
to rate)
Target tracking: inequality, CUSUM, trend, ArchestrA script
Target tracking enabled/disabled at runtime
Alerting: Alarm, email, IM, Workflow
Slide 34
CEM 2.0
Validation, Estimation and Editing (VEE)
Option to auto distribute energy usage across offline intervals
Edition of offline recordset, with auto linear interpolation
Compute deltas and costs upon entry/edition of data
Auto load offline meter data from a folder (operate as RTU)
Audit log for edition of values
Estimation of values while meter is offline:
- by linear extrapolation
- Custom script
Slide 35
Meters - Miscellaneous
CEM 2.0
• Allow virtual meters to have offline child meters
• Allow for an Historian input source for meters
• Meter Replacement
- Additional MetaData: serial number, installed date, calibration, etc.
- Counter value override
- Allow for non-recording mode
Slide 36
Diagnostics
Slide 37
CEM 2.0
•
Compare Galaxy with CEM Database
•
Better error messages in ArchestrA logger, with identification of
source of problem.
Database Administration
Archive
Purge
Restore
Slide 38
CEM 2.0
Configuration Productivity
Slide 39
CEM 2.0
•
Create strings automatically with default options when defining
configuration items
•
Do not require meta-data when defining a folder
•
Pre-defined configuration items upon fresh installation (meter types,
manufacturers, models, units, etc.)
Demand Response (stretch goal)
Demand monitoring object, with target (re-use meter object?)
ArchestrA Symbol in support of demand response
Slide 40
CEM 2.0
For more information on CEM
• Product Website: www.wonderware.com under Products
• eLearning on training.wonderware.com
• Business Development: bill.schiel@invensys.com
• Sales: rudy.engert@invensys.com
• Product Manager: christian-marc.pouyez@invensys.com
• Product Marketing Manager: kelly.kunkle@invensys.com
Slide 41