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Todd M. Rossi, Ph.D.

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Data Collection Tool. Efficiency Benchmark for Service. Same unit serviced to achieve: ... Evaluate expected ET, SH, COA, SC for current AMB and RWB ' ... – PowerPoint PPT presentation

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Title: Todd M. Rossi, Ph.D.


1
Estimating Efficiency and Establishing Baselines
for Verifying the Energy Saving Benefits
Associated with Servicing Air Conditioners
  • Todd M. Rossi, Ph.D.
  • Field Diagnostic Services, Inc.

2
Presentation
  • Estimating efficiency economically on a large
    scale
  • Benchmark for comparison
  • Selling service based on energy savings payback

3
Important Technology
  • A/C consumes much energy
  • Efficiency sensitive to service
  • First technology relating service effectiveness
    to energy savings deployed on large scale

You cant fix what you cant measure
4
Define Efficiency
5
Electric Heated Evaporator
6
DX Evaporator - Air side
7
Refrigerant Side Measurement
8
Compressor Performance Data
9
Estimating Efficiency
10
Required Measurements
11
Instrument
palm comp
AMB
RWB
LT
ST
LP/DP CT
SP ET
12
Practical Measurements
  • Commonly used in the field for diagnostics
  • Field personnel comfortable with concepts and
    required instruments
  • Special apparatus speeds up measurement process

13
Data Collection Tool
14
Efficiency Benchmark for Service
  • Same unit serviced to achieve
  • benchmark
  • ideal
  • as new
  • No design changes

15
A/C Units Respond to their Environment
  • Characterized by
  • AMB - Outdoor Drybulb Temperature
  • RWB - Evaporator Entering Air Wetbulb
  • Assumptions
  • Air cooled, DX Equipment
  • Water condensing on Evaporator

16
Characterizing Performance
  • Evaporating Temperature
  • ET(AMB,RWB)
  • Suction Line Superheat
  • SH(AMB,RWB)
  • Standard Charging Chart - Fixed Orifice
  • Condensing Temperature Over Ambient
  • COA(AMB,RWB)
  • Liquid Line Subcooling
  • SC(AMB,RWB)

17
Getting the Benchmark
  • Measure the driving conditions (AMB, RWB)
  • Evaluate expected ET, SH, COA, SC for current AMB
    and RWB
  • Ideally these are the values measured when the
    unit was new and installed properly under the
    current conditions.

18
Estimating Benchmark Efficiency
  • Feed expected values (no faults, current
    conditions) of ET, COA, SH, SC into the same COP
    calculation as the measured values.

19
Efficiency Index
  • Efficiency of the unit as it is currently
    operating relative to how it could be performing
    if serviced to like new under the same
    operating conditions

20
Example - Dirty Condenser
21
Advantages of EI
  • Same compressor model used to calculate actual
    and expected performance - reduces sensitivity to
    model errors
  • Intrinsic value - does not scale with size of unit

22
Field Measurement - EI
based on a sampling of 506 units
23
Creating Customer Value
  • Get from EI to by considering
  • Nominal capacity (tons)
  • SEER/EER rating
  • Utility rates (e.g /kwh)
  • Annual runtime hours
  • Estimate /year wasted because of degraded
    equipment performance

24
Service Decisions
  • /year in wasted energy
  • Compare to cost of service to enhance performance
  • Making service decisions (e.g. when to clean
    coils) based on energy savings payback.
  • Other criteria also exist in making service
    decisions

25
Service Strategically
  • Assess all units in portfolio
  • Prioritize units with most compelling service
    needs (e.g. energy payback)
  • Target service for maximum effect
  • Verify expected performance

26
Prioritize Sites
27
Energy Savings Example
  • Case study
  • Big box retail store
  • 14 RTUs, 11 with two stages (25 cycles)

28
Results All stages all units
  • Before Tune-up 318 kW 46,917 hours of cooling
  • After Tune-up 268 kW 37,738 hours of cooling
  • Savings 50 kW (15.8) 9,179 hours (19.6)

29
Payback
  • Total costs of service US 4,300
  • Estimated energy savings in one year US
    21,000

30
How the add up
  • Give a tech a tool
  • He applies it to 1000 tons
  • 100x10 ton units, 200x5 ton units
  • Units run between 300 and 2500 hours/year
  • 1 kW/ton - 12 EER
  • 10 cents/kwh

31
How the add up
  • That tech is responsible for roughly 100,000 in
    energy spent annually.
  • 10 improvement because of strategic application
    of the same resource based on better information
  • 10,000 saved each year
  • How much would you pay for this information?

32
Benefits
  • Quick measurements
  • It doesnt have to cost much more or require high
    skill
  • Measure and Document Efficiency
  • Target Service Strategically
  • Verify Effectiveness
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