onboard/in-field automated fault detection and diagnostics

43
Onboard/In-Field Automated Fault Detection and Diagnostics a Subcommittee of the Advanced Technology Committee of the Western HVAC Performance Alliance Subcommittee Meeting 9:30am – 12:30pm (PT) December 11, 2012 Call-in: 712/432-0075 742911# Weblink: http://uc-d.na4.acrobat.com/wcec/

Upload: percival-levy

Post on 30-Dec-2015

30 views

Category:

Documents


0 download

DESCRIPTION

Onboard/In-Field Automated Fault Detection and Diagnostics. a Subcommittee of the Advanced Technology Committee of the Western HVAC Performance Alliance Subcommittee Meeting 9:30am – 12:30pm (PT) December 11, 2012 Call-in: 712/432-0075 742911# - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Onboard/In-Field  Automated Fault Detection and Diagnostics

Onboard/In-Field Automated Fault Detection and Diagnosticsa Subcommittee of the Advanced Technology Committeeof the Western HVAC Performance Alliance

Subcommittee Meeting9:30am – 12:30pm (PT) December 11, 2012

Call-in: 712/432-0075 742911#Weblink: http://uc-d.na4.acrobat.com/wcec/

Page 2: Onboard/In-Field  Automated Fault Detection and Diagnostics

Agenda

• 9:30 Recap of 2012, Results of Roadmap Prioritization Survey

• 10:00 Presentation of Climacheck Case Study• 10:30 Presentation of Ezenics and Enterprise

Plug n Play Diagnostics and Optimization for Smart Buildings

• 11:30 HVAC Maintenance Behavior: the Customer and the Technician

• 12:30 Adjourn

Page 3: Onboard/In-Field  Automated Fault Detection and Diagnostics

2012 AFDD Subcommittee Accomplishments

• Roadmap Reviewed and Survey Conducted• Title 24 Requirement Passed• SCE continued Testing• SPC 207 Launched• Developed Timeline of AFDD Advancements• Presentations

– Daihung Yu: Virtual Sensors– Jon Douglas: Residential and Light Commercial Systems– Sean McCaffrey: Case Study– Brian Thompson: Ezenics– Kristin Heinemeier and Claudia Barriga: Maintenance Behavior

Page 4: Onboard/In-Field  Automated Fault Detection and Diagnostics

Results of Roadmap Prioritization: Onboard

Lack of Availability

Research into Residential FDD 1Research into FDD on Thermostat 3Research into Non-Microprocessor Units 3Research FDD for Different System Types 6Other (please specify) 3

The link between the onboard FDD results and systems or people to act upon it not just getting more overwhelmed.Research into successful applications and case studiesreliable economizer FDD

Page 5: Onboard/In-Field  Automated Fault Detection and Diagnostics

Results of Roadmap Prioritization: Onboard

Lack of Standards

Collaboration with CEE 0Energy Star "Most Efficient" Criteria 12013 T24 Standard 2ASHRAE Standard method of Test for RTU FDD 3Research Laboratory Methods of Test 3Inventory Reach Codes 0Propose Reach Code FDD Requirements 3Propose ASHRAE Std. 90.1 FDD Requirements 2Propose ASHRAE Std. 189.1 FDD Requirements 12016 T24 Standard 1Other (please specify) 0

Page 6: Onboard/In-Field  Automated Fault Detection and Diagnostics

Results of Roadmap Prioritization: Onboard

Lack of Customer Pull

Research into Maintenance Behavior 1High Performance RTU Challenge 1Research into Fault Incidence 3

Cost Effectiveness Assessment and Dissemination 3

Program Pilot Test 0Case Studies 2Research into Market Acceptability 1Design IOU FDD Program 2Launch IOU FDD Program 2Other (please specify) 1

Integrate IOU FDD program into existing CQM prgms

Page 7: Onboard/In-Field  Automated Fault Detection and Diagnostics

Results of Roadmap Prioritization: InField

Lack of Validated Protocols

Results from Diagnostic Protocol Evaluator Project 7

Collect and Disseminate Field Data 2

Benchmark and Assess Existing Protocols 6

Create Gap Analysis of Existing Protocols 1

Other (please specify) 2

Options to quickly deal with and meet security & IT needs

Answer 1 seems to be part of Answer 3

Page 8: Onboard/In-Field  Automated Fault Detection and Diagnostics

Evaluating Diagnostic Protocols• PIER-Purdue Protocol Evaluator: accuracy test for FDD

protocols

– refrigerant charge

– evaporator & condenser airflow

– non-condensables

– liquid line restrictions

– compressor valve leakage

Application software/users manual in final development

• CA T24 2008/2013 Installer/HERS RCA spec “…performs poorly. Flagging faults in up to 46% of the unfaulted cases, misdiagnosing over 25% of cases with faults, and not detecting faults in 32-55% of the cases with faults present.”

Page 9: Onboard/In-Field  Automated Fault Detection and Diagnostics

FDD Evaluator Review

• Draft Diagnostic Protocol Evaluator report: January 2013

www.newbuildings.org

www.performancealliance.org

http://wcec.ucdavis.edu/

• Tentative March 1, 2013 in-person meeting @ WCEC UC/Davis– Review evaluator – Review RCA issues

Page 10: Onboard/In-Field  Automated Fault Detection and Diagnostics

Results of Roadmap Prioritization: InField

Lack of Customer Pull

Develop Program for Commercial Buildings 12

Develop Program for Residential Buildings 1

Conduct Human Behavior Projects 3

Other (please specify) 0

Page 11: Onboard/In-Field  Automated Fault Detection and Diagnostics

Results of Roadmap Prioritization: InField

Lack of Integration with Existing Systems

Answer Options Response Count

Work with Manufacturers to Enhance Maintainability 2

Institute Voluntary Industry Agreement to Deliver Changes 2

In-Field FDD and Maintenance Study 7Work with OEMS to Develop Products 3Other (please specify) 2

Promote "FDD READY" tag for everything from work order software, to control hardware, to energy rate supply solutions

Work with OEMs to reach consenus around use of portable computerized FDD

Page 12: Onboard/In-Field  Automated Fault Detection and Diagnostics

OnBoard Priorities

• Research FDD for Different System Types• Laboratory Methods of Test• Research into FDD on Thermostat• Research into Non-Microprocessor Units• Propose Reach Code FDD Requirements• Research into Fault Incidence• Cost Effectiveness Assessment and Dissemination

Page 13: Onboard/In-Field  Automated Fault Detection and Diagnostics

InField Priorities

• Results from Diagnostic Protocol Evaluator Project

• Benchmark and Assess Existing Protocols• Develop Program for Commercial Buildings• In-Field FDD and Maintenance Study• Conduct Human Behavior Projects

• Work with OEMS to Develop Products

Page 14: Onboard/In-Field  Automated Fault Detection and Diagnostics

FDD Case Study Presentation

• ClimaCheck

» Sean McCaffrey

Page 15: Onboard/In-Field  Automated Fault Detection and Diagnostics

• Ezenics• Enterprise Plug n Play Diagnostics and

Optimization for Smart Buildings

» Brian Thompson

Manufacturer Presentation

Page 16: Onboard/In-Field  Automated Fault Detection and Diagnostics

Research Presentation

• Understanding Maintenance Behavior

» Customer: Claudia Barriga» Technician: Kristin Heinemeier

Page 17: Onboard/In-Field  Automated Fault Detection and Diagnostics

Maintenance and Real PeopleKristin Heinemeier

[email protected]

Claudia [email protected]

Page 18: Onboard/In-Field  Automated Fault Detection and Diagnostics

HVAC Behavioral Research Initiative

Page 19: Onboard/In-Field  Automated Fault Detection and Diagnostics

• “Understanding Maintenance Behavior in Residential and Light Commercial End Users.” (SCE HTSDA)

• “Lab and Field Usability of In-Home Energy Displays” (SCE HTSDA)

• “Behavior and AFDD” (SCE HTSDA – Q4 ‘12)

• “Understanding Contractor and Technician Behavior” (SCE EM&V)

• “Roadmap for Behavior and Human Factors Research in HVAC” (CEC/PIER IA)

• “HVAC Technician Instrument Laboratory” (CEC/PIER CIEE)

HVAC BEHAVIORAL RESEARCH INITIATIVE 2011-2012 PROJECTS

Page 20: Onboard/In-Field  Automated Fault Detection and Diagnostics

Understanding Maintenance Behavior in Residential and Light Commercial End Users

Claudia Barriga, Kristin Heinemeier, Laura Flynn, Dina Biscotti

Western Cooling Efficiency Center Energy Efficiency Center

Southern California Edison

Page 21: Onboard/In-Field  Automated Fault Detection and Diagnostics

Methods Survey of Residential End Users

• Sample– 270 Southern California Residents – Random Sample from SCE territory

• Online Survey Residents – Knowledge about AC and maintenance– Attitudes towards AC and maintenance– Attitudes towards the environment– Preferences for FDD alert systems

Page 22: Onboard/In-Field  Automated Fault Detection and Diagnostics

Regularly maintains Air Conditioner 143 (53%)

Has had (ever) the AC professionally serviced 193 (71.5%)

Has had professional service within the last year 97(35.9%)

Has been offered an HVAC maintenance agreement 140 (51.9%)

Currently has an HVAC maintenance agreement 33 (12.2%)

Characteristics of Sample Regarding AC Maintenance

Page 23: Onboard/In-Field  Automated Fault Detection and Diagnostics

HOW WOULD YOU KNOW THAT YOUR AC NEEDS REPAIRS OR MAINTENANCE?RESPONSE CATEGORIES

RESPONSES (N = 270)

Not Cooling 192 (71.1%)

Not turning on (Fan, Blower, Motor) 109 (40.4%)

Makes atypical noises 96 (35.6%)

Unusual Smells 20 (7.4%)

High Energy Bills/System running constantly 23 (8.5%)

Alert (Light in Thermostat) 18 (6.7%)

Scheduled Professional Maintenance 11 (4.1%)

Page 24: Onboard/In-Field  Automated Fault Detection and Diagnostics

FDD ALERT TYPE (N = 270)Light alerting fault + specific fault information 153 (56.7%)

Flashing light indicating fault 117 (43.3%)

Beeping sound indicating fault 100 (37.0%)

Green light indicating proper operation 100 (37.0%)Numerical rating of AC performance (e.g. at 75%) 86 (31.9%)

Light alerting fault + risk information 81 (30.0%)Light alerting fault + optimization opportunities info 72 (26.7%)Light alerting fault + automatic message to HVAC technical service 43 (15.9%)

Preferred FDD Alert Type

Page 25: Onboard/In-Field  Automated Fault Detection and Diagnostics

Simulated In Home Energy Displays with Specific vs. General Alerts and Recommendations

Page 26: Onboard/In-Field  Automated Fault Detection and Diagnostics

Responses to Tips and Diagnostic Alerts and Recommendations in a Simulated In Home Energy Display

Page 27: Onboard/In-Field  Automated Fault Detection and Diagnostics

1

2

3

4

5

6

7

Semantic Differential Rating for Refrigerator, Car and Air Con-ditioners

Refrigerator Car Air Conditioner

)

Page 28: Onboard/In-Field  Automated Fault Detection and Diagnostics

Good

Pleasan

t

Benefi

cial

Valuab

leSa

fe

Importa

nt

Necessa

ry

Expen

sive

Health

yClea

n

Beautiful

Envir

onmental

ly Fri

endly

High Te

ch

Save

s Money

Hig Main

tenan

ce

Exciti

ng

Complicated

11.5

22.5

33.5

44.5

55.5

66.5

7

Air Conditioners are...

I think this should be vertical and tagged at both ends, with color coding for bad stuff (red bad, green good)

Page 29: Onboard/In-Field  Automated Fault Detection and Diagnostics
Page 30: Onboard/In-Field  Automated Fault Detection and Diagnostics

Seem

s Tru

stworth

y

Knows Custo

mer Eq

uipment

Lowers

Bills

Listen

s to Custo

mer Concer

ns

Explai

ns Work

Provid

esTim

ely Se

rvice

Carries

Certificati

on

Seem

s Tech

nically

Authoritati

ve

Offers En

ergy E

fficient S

olutions

Provid

es Prio

rity S

ervice

Arrange

s Reb

ates

Clean

Uses M

easu

remen

ts

Offers New

Tech

nologies

Endorse

d by SCE

Offers En

vironmen

tal So

lutions

Personal

Relationsh

ip

Uses Lo

ng Check

list

Explai

ns Clim

ate Chan

ge Im

pact1

1.5

2

2.5

3

3.5

4

4.5

5

5.5

6

6.5

7

Perceived Importance of Maintenance Contractor Characteristics (N = 258)

Page 31: Onboard/In-Field  Automated Fault Detection and Diagnostics

Methods Focus Groups of Small Business Owners• Four Focus Groups in 2 SCE territory locations• 10-12 participants per group• Attitudes towards AC and maintenance• Attitudes towards Utilities Energy Efficiency

Programs• Attitudes towards the Environment

Page 32: Onboard/In-Field  Automated Fault Detection and Diagnostics

Key Findings

• KEY FINDING 1: SMALL BUSINESS OWNERS ARE NOT CONVINCED THAT REGULAR HVAC MAINTENANCE SAVES MONEY.

• Recommendations: Show customers approximate (or best yet, actual) energy savings on bill that result from active participation in maintenance programs. Develop tools or techniques to field test AC unit efficiency before and after measures are implemented.

• KEY FINDING 2: SMALL BUSINESS OWNERS DO NOT UNDERSTAND HOW TO PROPERLY MAINTAIN HVAC EQUIPMENT.

• Recommendation: Create a guide for small businesses owners to use as a screening tool to find good contractors and as a double check for existing contractors.

• KEY FINDING 3: SMALL BUSINESS OWNERS DO NOT LIKE COMPLICATED REBATE PROGRAMS.

• Recommendation: Streamline rebate process or encourage contractors to take on the role of rebate collectors to minimize inconvenience to small business owners. Another idea is to provide the rebate as a credit on the utility bill.

Page 33: Onboard/In-Field  Automated Fault Detection and Diagnostics

• Covertly Observed 13 Maintenance Technicians

• Requested “service,” “maintenance,” and “energy tune-up”.

• Two “faults”:• Airflow <250cfm/ton• Registers closed

• Post-Observation Interview

Maintenance Technician Observation Study

Page 34: Onboard/In-Field  Automated Fault Detection and Diagnostics

Tech # Invite Type

Years of Exp.

Service Duration

Service Price Certified Prog.

Part.Nat'l Chain Owner

21 1 7 1:02 $ 75        

31 1 20 0:50 $ 69   ✔   ✔

43 1 17 2:02 $ 75 NATE,NCI     ✔

54 1 7 0:40 $ 79 NATE      

80 1 16 1:00 $ 89   ✔    

96 2 22 0:23 $ 60       ✔

33 2 14 1:30 $ 79     ✔  

72 2 26 1:35 $ 85 NATE      

87 3 12 0:57 $ 75        

99 3 14 1:16 $ 179        

22 3 30 0:42 $ 80       ✔

65 4 1 1:33 $ 180   ✔    

79 4 13 2:00 $ 149 NATE,NCI ✔    

TechnicianCharacteristics

Page 35: Onboard/In-Field  Automated Fault Detection and Diagnostics

Task Description

TechniciansNumber of

Techs. Attempt

Number of Techs. Correct43 79 72 65 99 87 80 21 96 31 33 22 54

Thermostat ● ● ●   ●   ○ ●           6 5

Registers ● ○ ● ● ● 5 4

Air Filter ○ ○ ●   ○   ● ○ ○   ○ ○   9 2

Temp Split ● ●       ○   ○   ○   ○   6 2

Furnace ●   ○ ● ○             ○   5 2

Electrical ●   ○ ○ ○ ○ ○ ○ ○   ○     9 1

Line and Duct Insulation

  ○ ○ ● ○ ○   ○ ○   ○ ○   9 1

Ext. Static ● ○                       2 1

Airflow ● ○                       2 1

Ducts ○ ○ ○ ○ ○ ○     ○   ○ ○   9 0

Condenser Coil     ○ ○ ○ ○ ○       ○ ○   7 0

Motor Amps ○     ○ ○ ○ ○ ○     ○     7 0

Biologicals   ○ ○ ○ ○   ○   ○         6 0

Refrig. Chg. ○ ○     ○ ○ ○             5 0

Evaporator Coil                           0 0

Total Attempts 10 10 8 8 10 8 7 6 6 2 6 6 0

Total Correct 6 3 2 2 1 1 1 1 1 1 0 0 0

Page 36: Onboard/In-Field  Automated Fault Detection and Diagnostics

Tasks Completed Correctly by Service Duration and Technician Characteristics

Page 37: Onboard/In-Field  Automated Fault Detection and Diagnostics

Technician Cost Recommendation21 $650 New supply ducts31 New supply ducts and UV light43 $150 New capacitor for condenser and fan54 $129 Add up to 3 pounds of refrigerant80 N/A96 N/A

33 $1,236Hard-start and run capacitors, UV bulb, Schrader core replacement

72 $1,194 UV lamp, blower fan, contactor, air filter for two systems87 $445 New condenser fan motor99 N/A22 Add 1 pound of refrigerant65 $156 Replace contactor 79 Improve airflow and add refrigerant charge

Average $566  

Recommendations by Technicians

Page 38: Onboard/In-Field  Automated Fault Detection and Diagnostics

• Technical performance was below the standards of ACCA 4 and “Quality Maintenance” goals.

• Yet, technicians were more knowledgeable than their technical performance scores would suggest

• This study does not provide evidence that lack of training or certification is creating the problem.

Technician Observation Conclusions

Page 39: Onboard/In-Field  Automated Fault Detection and Diagnostics

• Technicians work hard to achieve their perceived company and customer goals:

• Company Goals• Their company’s goal is to sell and accomplish as many

service calls as possible in one day.

• Customer Goals• Customers are interested in only two things: in the

equipment working when needed, and in spending as little time and money as possible to achieve that goal.

Technician Observation Conclusions

Page 40: Onboard/In-Field  Automated Fault Detection and Diagnostics

• These goals are closely tied both to the industry’s traditional practices around “maintenance services” and to common connotations of the word “maintenance”.

• Industry transformation should include a way to make technicians see the non-traditional goals of quality technical performance as consistent with the goals of their employers and their customers.

Technician Observation Conclusions

Page 41: Onboard/In-Field  Automated Fault Detection and Diagnostics

Technician Observation Conclusions

• A new category of service other than “maintenance” or “tune-up”, is required…perhaps “optimization”.

• Solid data on benefits, both for the industry at large and for individual buildings, is key.

Page 42: Onboard/In-Field  Automated Fault Detection and Diagnostics

•Discussion…

Page 43: Onboard/In-Field  Automated Fault Detection and Diagnostics

Thank you!

• Mark Cherniack [email protected]

• Kristin Heinemeier [email protected]

• Jerine Ahmed [email protected]

• Anthony Hernandez [email protected]

• KC Spivey [email protected]

43