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ASHRAE National Capitol Chapter - PES Wednesday, Nov 7, 2011
Central Plant Optimization
Dave Klee, LEED AP
Director, Optimized Building Solutions Johnson Controls, Inc.
http://www.johnsoncontrols.com/cpo
where we are,
where we could be,
how we can get there.
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The Case for Central Plant Optimization
HVAC provides the largest energy savings opportunity
The Case for Central Plant Optimization
Within the HVAC system, Chiller plants provide the greatest energy savings opportunity. Within the chiller plant, the chiller provides the greatest opportunity.
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To maximize efficiency, plants must be designed and operated holistically
Pumps & Motors
Variable Speed Drives
Efficient and capable components can get you only so far. We must optimize at a system level.
Cooling Towers Chillers
Automation & Optimization
Meet the load with minimum power How optimization works
7 REDUCE: Chiller Energy Pump Energy System Energy Steam Energy Water Use Intelligent algorithms are
required to optimally vary:
Chilled water temps flow Condenser water temps flow simultaneously without hunting
Meet the load with minimum power Simultaneously, without hunting
Measuring plant efficiency How do plants measure up?
Average annual plant efficiency in kW/ton for chilled water plants includes total power consumption from chillers, all pumps and tower fans
Legacy Chiller Plants Conventional Plants Efficient Plants Highly Efficient VSD Plants
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Measuring plant efficiency:
A real-world example of what’s possible
Month Ton-hrs Old kWh Old
kW/ton Optimized kW/ton Savings Nov-09 395,395 395,241 1.00 0.66 134,280 Dec-09 259,478 331,592 1.28 0.68 155,147 Jan-10 231,408 299,829 1.30 0.78 119,330 Feb-10 242,092 309,528 1.28 0.60 164,272 Mar-10 185,457 213,358 1.15 0.52 116,724 Apr-10 351,837 353,650 1.01 0.55 160,140 May-10 530,402 497,365 0.94 0.51 226,860 Jun-10 784,549 526,061 0.67 0.55 94,559 Jul-10 833,703 643,522 0.77 0.58 159,974 Aug-10 789,405 602,121 0.76 0.60 128,478 Sep-10 780,230 658,974 0.84 0.62 175,231 Oct-10 613,859 581,472 0.95 0.62 200,880 Annual Totals 5,997,816 5,412,712 0.90 0.60 1,835,875
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Automate System
Apply components effectively, optimally
Select components effectively, optimally
Design system infrastructure to max efficiency potential
Design Decisions
Is your design ready for optimization?
Optimization starts with a firm design foundation
Automate System
Apply components effectively, optimally
Select components effectively, optimally
Design system infrastructure to max efficiency potential
Design Decisions
Automation Optimization
Prerequisite Opportunity Sequences Algorithms The order of events The optimal events
Executes Advises
Holds setpoints Calculates optimal states, speeds, setpoints Meets the load Meets the load
with minimum power Today’s standard Tomorrow’s standard
Is your design ready for optimization?
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Automate System
Apply components effectively, optimally
Select components effectively, optimally
Design system infrastructure to max efficiency potential
Design Decisions
Is your design ready for optimization?
Optimization starts with a firm design foundation
New construction:
Plant infrastructure, components instrumentation and automation are
designed such that when optimization software is applied, its performance is maximized and sustained.
Existing buildings:
Plant infrastructure, components, instrumentation and automation are
upgradedsuch that when optimization software is applied, its performance is maximized and sustained.
What is Optimization ReadyTM?
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Measure & Verify
Optimize System
Automate System
Apply components effectively, optimally
Select components effectively, optimally
Design system infrastructure to max efficiency potential
Operating Decisions
Design Decisions
Maintain
Optimization is a process.
Not a one-time event. Not just software. Not a bill of materials.
1. Correct System Deficiencies 2,3. Correct Equipment Deficiencies 4. Automate with Proven Algorithms 5. Add Optimization Software 6. Measure, Verify & Manage 7. Maintain Address pre-existing conditions
1. Design Efficient System 2,3. Select & Apply Equipment Effectively 4. Automate with Proven Algorithms 5. Add Optimization Software 6. Measure, Verify & Manage 7. Maintain Existing Buildings New Construction
Start with Sound Design Decisions
Optimization works in New Construction and Existing Buildings: Design or retrofit to get to optimization ready. Then optimize.
Optimize Optimize
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Read the whitepaper: http://www.johnsoncontrols.com/cpo
Measure & Verify
Optimize System
Automate System
Apply components effectively, optimally
Select components effectively, optimally
Design system infrastructure to max efficiency potential
Operating Decisions Design Decisions Maintain Measure & Verify Optimize System Automate System
Apply components effectively, optimally
Select components effectively, optimally
Design system infrastructure to max efficiency potential
Operating Decisions
Design Decisions
Maintain
Know our enemies.
“We can do that!” “It’s not working!”
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Maximize your potential.
1. Design efficient
system infrastructure
Which system configuration is most likely to deliver the most efficient plant?
Chilled Water System
Headered Dedicated Variable Primary A B
Primary / Secondary C D
Constant Primary E F Condenser Water System
Headered Dedicated
Variable Flow 1 2
Constant Flow 3 4
Step 1:
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1. Design efficient
system infrastructure
Which system configuration is most likely to deliver the most efficient plant?
Chilled Water System
Headered Dedicated
Variable Primary B
Primary / Secondary C D
Constant Primary E F Condenser Water System
Headered Dedicated
Variable Flow 1 2
Constant Flow 3 4
Step 1:
Design efficient system infrastructure
1. Design efficient
system infrastructure
Which system configuration is most likely to deliver the most efficient plant?
Chilled Water System
Headered Dedicated
Variable Primary B
Primary / Secondary C D
Constant Primary E F Condenser Water System
Headered Dedicated
Variable Flow 2
Constant Flow 3 4
Step 1:
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Steps 2&3: Once you have efficient system design, Evaluate & select components on a real-world basis
Step 5: Central Plant Optimization
Some characteristics are nearly universal
The load is met.
Comfort and safety not impacted
Whole-system approach (chillers, pumps & towers)
All-VSD plants best performance
Effective BAS is in place; capable of control and data gathering
Standardized solution (not one-off, custom)
Adjustments are made automatically
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Step 5: Central Plant Optimization
The nature & basis of algorithms will vary
How are optimization decisions made?
Some focus on primarily on pumps
Proven best-in-class practices
Equipment efficiency curves
Energy-based sequencing
Proportional/ integral/ derivative
Adaptive tuning loops
PID loops
Relational control
Transparent or proprietary
Step 5: Central Plant Optimization
The solution architecture will vary
Where do the algorithms reside?
Inherent in the BAS
Add-on appliance (usually on site) Where does the data flow?
Within the BAS
BAS server collects data
BAS server “serves up” info to dashboard / reports
Within “the cloud”
Local appliance transmits
Remote server collects & “serves up” info to dashboard / reports Internet
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CPO: On-site Optimization Metasys or 3rdparty BAS:
Building Automation System
Chillers
VSDs on pumps, cooling tower fans
Sensors, Meters & Controlled Devices Customer Service Center MVM: Measurement, Verification and Management Customer site Client Desktop Central Plant Optimization
Solution Architecture Example
Internet Internet
Reliability – structured commissioning process
Stability – Stable operation and persistent performance
Repeatability – not reliant on individuals’ expertise
Predictability – performance is understood, proven
Visibility – measurement, verification and management Step 5: Central Plant Optimization
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Step 6: Measure, Verify & Manage performance
Actionable information to empower sustained performance
Web-based UI for remote access Remote monitoring and diagnostics Real-time trends; Periodic reports Alert notification & escalation UI representing actual plant layout Actionable info, tailored to users’ needs. Long-term data storage and management
Energy consumption & cost Weather data and load profiles Equipment runtime, starts, stops
Step 6: Measure, Verify & Manage performance
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Run to fail
Repairs to equipment not included in plan
Necessary repairs made reactively upon failure
Scheduled maintenance
Focus on component care
Performed regularly
Predictive Services
Strategy focus uptime and performance
Proactive management
Elimination of equipment failure
Step 7: Maintain
Sustain the value of the investment in optimization
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Optimization Case Study:
Cleveland State University
Situation
• 3,800,000 sq. ft. campus in Cleveland, OH • Most load is 7am to 10pm, but laboratory and
student housing load is 24/7.
Solution
• Two 2,750-ton, one 1,000-ton Yorks; Two 1,000-ton Tranes. All Metasys.
• Implemented OptimumHVAC / CPO 30
Result
• Est. energy use savings: 910,000 kWh/yr • Est. first year savings: $113,000
• To-date improved kW/ton: 36%
• Simple payback for the entire project: 2.7yrs
Optimization Case Study: University of Texas at Austin
Situation
District Cooling station serving 135 buildings (17 million sq ft )
Total campus load:145 million ton-hours / year
Rising energy prices, increasing cooling load
Solution
Replaced plant with a new, all-VSD plant
Installed 3 new 5000 ton York Titan chillers
Johnson Controls / OptimumLOOP
Result
Plant efficiency: 0.33 to .87 kW/ton , depending on wet bulb and campus load
Estimated first year savings: 5 million kWh
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Optimization Case Study: Sotheby’s Building
Situation
470,000 sq. ft. facility in New York City
Houses rare antiques & priceless art
Needed a reliable, efficient chiller plant
Solution
VSD retrofits on two 700-ton York centrifugal chillers, cooling tower fans, condenser water pumps and chilled water pumps.
Implemented Central Plant Optimization.
Result
Qualified for incentives: $167,000
Est. first year savings: $201,000
To-date improved kW/ton: 31.7%
Simple payback for the entire project: 3.6 yrs
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Large buildings / plants (>600T)
Multiple, centrifugal chillers
High loads (base & peak)
High operating hours (day/ wk/ yr.)
Data centers (or bldgs with them)
Process loads (served by plant)
Existing BAS (not manual control)
LEED or other green mandates
Funding for efficiency / expense reduction projects
Rebate programs, High utility rates
Johnson Controls CPO Ideal Targets for CPO
CPO is an Engineered, Financial Solution
Engineering & Implementation Process
Assess. Analyze. Design.
Implement. Save.
Optimization
Preliminary Assessment
Optimization
Analysis and Design
Optimization Architecture Proposal Optimization Implementation Optimization Continuous Commissioning Is the site a candidate for optimization? Financially? Technically? What are the design requirements for optimization?
What are the business requirements of the project to ensure success? Provides a comprehensive energy appraisal and an actionable plan that outlines the technical approach and business case for optimization. $ $ $$ $$ Phased approach that includes: • Mechanical upgrades • Controls integration • Network appliance
& software install • Testing and remote
commissioning Benefits: • Eliminates performance drift • Ensures optimum energy efficiency • Provides real-time plant analytics • Enables remote diagnostics
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www.johnsoncontrols.com/hvacdesign
www.johnsoncontrols.com/cpo
ASHRAE National Capitol Chapter - PES Wednesday, Nov 7, 2011