Teaching Improved Methods of Tuning and Adjusting HVAC Control Systems PowerPoint PPT Presentation

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Title: Teaching Improved Methods of Tuning and Adjusting HVAC Control Systems


1
Teaching Improved Methods of Tuning and Adjusting
HVAC Control Systems
A National Science Foundation Grant Grant No.
NSF DUE 0202131 Presented at the 2006 ASEE Annual
Conference Exposition Chicago, IL
  • Professor Russell Marcks, PE Principal
    Investigator and Presenter
  • Assistant Professor Larraine Kapka, PE
    HVAC Grant Project Manager
  • Dr. Alan Watton, PE Principal
    Investigator

2
Project History
  • Early 1990s NSF-funded project to build lab
    demos to study control loop dynamic response
  • In a national seminar, we demonstrated a
    graphical evaluation method using a flat-bed
    plotter to collect loop response data
  • Seminar attendees determined this quite useful if
    instrumentation was portable

3
Project Goals
  • Robust method of field data collection
  • Cost less than 1000
  • Able to be used by trained technician rather than
    control engineer
  • Instructional package to educate and train HVAC
    students in control loop tuning

4
Background
  • HVAC industry has frequently approached the
    problem of tuning control loops informally
  • Excerpt from the manual of a well-known HVAC
    control manufacturer
  • Adjust reset time (Tr), according to the job
    drawings, with reset time adjustment knob.
    Decrease setting until system becomes unstable.
    Increase setting slightly until system becomes
    stable.

5
Background
  • Process control industry regularly engages in
    evaluation of control loop response
  • Highly sophisticated tuning software
  • Common communications protocols allow networking
    of different controllers

6
Why is HVAC behind?
  • Most HVAC control technicians and engineers do
    not understand formal loop tuning
  • No common communications protocol exists to
    easily apply software monitoring
  • Owners resistant to added costs for software
    monitoring as is available in process industry

7
Why is HVAC behind?
  • Attitudes
  • Its just temperature close enough!
  • Who cares if it doesnt react quickly?
  • Attitudes are changing
  • Energy costs
  • ASHRAE ventilation requirements
  • A move to formalized building commissioning
  • LEED and Green

8
The Current State
  • According to some sources
  • 30 of controllers are operated in manual
  • 65 of controllers are poorly tuned or de-tuned
    to mask control related problems
  • 50 of actuators, transducers and positioners are
    improperly calibrated
  • 20 of control systems are not properly
    configured to meet control objectives
  • Source Tecmation, Inc.

9
Why Tune?
  • Properly tuned system reacts when process
    requires and not over-react to process noise
  • Formalized tuning process provides visual
    evidence of a variety of control problems
  • Reduction of OM costs

10
But We Have Autotune!
  • If it works, use it
  • Many controllers do not autotune
  • Requires significant processor power
  • Autotune assumes system is linear HVAC control
    systems are not
  • Proposed method provides a visual confirmation

11
Some OM Costs
  • Energy Use
  • Poorly tuned loops wear valves
  • Valves represent up to 75 of system first cost,
    but 90 of loop maintenance cost
  • Valve moves 15 to 200 times/day in well tuned
    loop, 50 times as much in poorly tuned loop
  • Air typically costs 100/yr/scfm
  • Source Top Control, Inc., 2002

12
Potential Valve Savings
Based on 0.06/kWh Source Top Control, Inc.,
2002
13
DDC Controls in Oregon Public Schools
  • Manual operation and bypass of 144,000 DDC
    system
  • 77,500 DDC system operates 24 hrs/day,
    over-pressurized building, poor room control
  • 100,000 in energy efficiency retrofits
    (including DDC system), utility bill increased
    from 11,000 to 17,000/yr

Source Oregon Office of Energy from report on
DDC systems in Oregon public schools
14
DDC Controls in Oregon Public Schools
  • Estimate one-sixth of Oregon K-12 schools
    have dysfunctional DDC systemsBy fixing DDC
    design, installation and user errorscut their
    energy costs by a total of more than 1 million
    per yearincrease building comfort and reduce the
    amount of staff time on jerry-rigging the DDC and
    HVAC systems to work correctly.

Source Oregon Office of Energy from report on
DDC systems in Oregon public schools
15
A New Approach
  • Simple, inexpensive method of collecting data in
    the field
  • Analysis results in a set of tuning parameters
    allowing for optimized control loop response or
  • if analysis shows difficulties then take back to
    design office for further study and resolution
  • Overall goal is to get large-scale control action
    to follow the desired operating pattern

16
Hardware Requirements
  • Calculator programmable and flexible
  • Memory to collect and store data
  • Variable sampling rate
  • Accepts two synchronized inputs
  • Analyze data directly or
  • easily download data to computer
  • Batteries or AC power

17
Simplified Data Collection
  • Handheld and portable
  • Easy to program / setup / use
  • Inexpensive
  • Provides data plot
  • Controlled data collection

18
Test System
19
Data for Loop Tuning
20
Data Analysis
  • May use any desired tuning method
  • Ziegler-Nichols (Open Closed Loop)
  • Cohen-Coon (Open Loop)
  • Lambda (Dead Time Dominant)
  • Current analysis is a graphical hand analysis
  • Easily adaptable to Excel or MathCAD for further
    automation of analysis procedure

21
TI-83/84 and LabPro
  • Pros
  • Easy to use
  • Easy to program
  • Inexpensive
  • Cons
  • Should learn to program
  • Limited active memory
  • Educational use only

22
Casio CFX-9850GC and EA-200
  • Pros
  • Color Graphing
  • More active RAM than TI-83
  • Easy to use and program
  • Cons
  • More expensive than Vernier
  • No storage on Calculator
  • Slow Processor
  • Not as well supported in the US as TI-83

23
Casio FX-9860G SD and EA-200
  • Pros
  • More active RAM than TI-83
  • 1.5 MB total on-board RAM
  • Accepts up to 1 GB SD Card
  • Built-in Spreadsheet
  • Easy to use and program
  • Cons
  • More expensive than Vernier
  • Not as well supported in the US as TI-83

24
Fourier Systems
  • Pros
  • Easy to use - Intuitive
  • No programming
  • Ready out of the box
  • Industrial use
  • Full range of process signals
  • Cons
  • Somewhat more expensive
  • No onboard calculation
  • MultiLogPro DAQPRO

25
Fourier Systems
  • Pros
  • Familiar Windows Interface
  • Tablet PC with datalogger
  • Spreadsheet Calculations
  • Can connect Keyboard, et.al.
  • Cons
  • Targeted to K-12
  • VERY new
  • Nova 5000EX

26
HP and Firmware Systems
  • Pros
  • More capable than the TI-83
  • Easy to use/Program
  • Designed for industry first
  • Cons
  • Must learn to program
  • Limited sensor availability
  • Availability

27
Field Application Issues
  • Accessibility of control signals
  • Manufacturer warranty
  • Lack of adequate time
  • Elimination of non-linearities and anomalies
  • Connection to pneumatic systems

28
Education Component
29
Education Component
  • Weve successfully used these procedures to teach
    loop tuning in the classroom with 2-year HVAC
    students

30
Education Component
  • Learning materials to provide a full course in
    introductory control including loop tuning are
    nearly complete
  • By the end of June, 2006, complete learning
    materials will be available, on CD-ROM, through
    the National Center for Manufacturing Education
    (NCME)

31
Conclusion
  • Inexpensive data collection is available
  • Based on raw data collection so independent of
    communications protocols
  • Tuning methods are easily learned
  • Method provides documentation
  • Can aid in identifying problems otherwise
    difficult to uncover
  • Can reduce energy and OM costs

32
For Educational Materials
  • www.hvacrcool.orgOn-line soon

33
For Further Information
  • See us Tuesday at Booth 825, NSF Resource Centers
  • Browse To
  • www.ncmeresource.org
  • www.hvacrcool.org
  • Contact
  • russell.marcks_at_sinclair.edu
  • larraine.kapka_at_sinclair.edu
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