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2016 Annual Conference St. Louis, Missouri Matt Cambio Ingersoll Rand [email protected] 608-787-3571 Seminar 13 Advances in Compressor Design, Testing, and Performance Modeling for New Efficiency Standards and Alternate Refrigerants Representation of a Positive Displacement Compressor Map with Vapor Injection

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Page 1: Matt Cambio Ingersoll Rand Seminar 13 Advances in

2016 Annual Conference

St. Louis, Missouri

Matt CambioIngersoll Rand

[email protected] 13

Advances in Compressor Design, Testing, and Performance Modeling

for New Efficiency Standards and Alternate RefrigerantsRepresentation of a Positive

Displacement Compressor Map with Vapor Injection

Page 2: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Learning Objectives1. Describe how the new, low-GWP alternative refrigerants affect the compressor design, performance characteristics and operation.

2. Explain the purpose of compressor rating standards.

3. Describe the proper use of compressor performance maps.

4. Derive from compressor performance maps the actual compressor performance at real operating conditions in the system.

ASHRAE is a Registered Provider with The American Institute of Architects Continuing Education Systems. Credit earned on completion of this program will be reported to ASHRAE Records for AIA members. Certificates of Completion for non-AIA

members are available on request.

This program is registered with the AIA/ASHRAE for continuing professional education. As such, it does not include content that may be deemed or construed to be an approval or endorsement by the AIA of any material of construction or any method or manner of

handling, using, distributing, or dealing in any material or product. Questions related to specific materials, methods, and services will be addressed at the conclusion of this presentation.

Page 3: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Acknowledgments

• Ingersoll Rand and Jay Johnson, Compressor Group manager, for giving permission to present test results.

• Gordy Powell for presenting at the ASHRAE Summer Meetings.

Page 4: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Outline/Agenda

• Introduction to vapor injection

• Standards around compressor maps

• Analysis of 10-coefficient format

• Vapor injection equation format

• Analysis of proposed format.

Page 5: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Vapor Injection• PD Compressor vapor

injection is commonly used in HVAC.• Cycle efficiency enhancement• Capacity increase• Compression cooling

• Economizer applications are popular in chilled water systems.

• BPHE is one method of lowering the entering evaporator temperature.

Evaporator

P, T

Page 6: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Vapor Injection• Port opens to the pocket

early in compression.

• Port closes with the pocket at an elevated pressure.

• Port flow is a new variable requiring characterization.

• Port flow is dependent on the upstream injection pressure.

Fig. 1 Fig. 2

Fig. 3 Fig. 4

Page 7: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Performance Rating Standard

• AHRI standard 540 covers positive displacement compressors.

• Compressor performance is represented by a 10-coefficient equation.

• No reference to the derivation of this equation format

• Currently no provisions in the standard for vapor injection.

1 TS TS2 TS

3

1 1 TS TS2 TS

3

TD TD TS•TD TS²•TD TS³•TD

TD2 TD

2 TS•TD² TS²•TD² TS³•TD²

TD3 TD

3 TS•TD³ TS²•TD³ TS³•TD³

AHRI 10-Coefficient Model

Third order in sat. disch. temp.

Third order in sat. suct. temp.

Factors omitted from the equation

Page 8: Matt Cambio Ingersoll Rand Seminar 13 Advances in

10-Coefficient Curve Fit• 20 point data set was curve fit using the AHRI 540 format.

• A linear regression was performed on the coefficients.

• Results showed the statistically significant coefficients.• 7 out of 10 for power

• 5 out of 10 for mass flow

Mass FlowPower• P-value shows significance.• Low is better• Value of 0.05 is a 95%

confidence interval.

Page 9: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Model with Injection

•With vapor injection saturated economizer temperature is another independent variable.

•Using the 10-coefficient logic a 23-coefficient model was created.

Page 10: Matt Cambio Ingersoll Rand Seminar 13 Advances in

23-Coefficient Curve Fit• Power – 11 of 23 coefficients have a > 95% probability of significance.

• Mass Flow – 9 of 23 coefficients have > 95% probability of significance.

• Econ Flow – 5 of 23 coefficients have a >95% probability of significance

Mass FlowPower Econ Flow

Page 11: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Reducing Coefficients

• Factors with a low probability of correlation can be removed from the equation.

• This exercise was performed on coefficients 11-23.

• If a factor was not significant for two or more variables it was removed.

• This exercise reduced the number of coefficients to 12

P-Values

Coeff # Term kW Mass Flow Econ Flow

2 S 0.000 0.000 0.000

3 D 0.506 0.019 0.631

4 S2 0.000 0.000 0.123

5 SD 0.000 0.032 0.725

6 D2 0.032 0.008 0.535

7 S3 0.005 0.000 0.027

8 DS2 0.000 0.303 0.002

9 SD2 0.000 0.318 0.180

10 D3 0.777 0.000 0.400

11 E 0.000 0.000 0.000

12 SED 0.000 0.000 0.000

R-sqrd 99.9% 100% 99.5%

Page 12: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Conclusions• AHRI 540 is not sufficient for compressor with vapor

injection.

• Injection flow is a new dependent variable requiring characterization.

• Injection saturation temperature is a new independent variable requiring specification.

• A 23-coefficient equation format has been presented in the spirit of the AHRI 540 10-coefficient format.

• A single data set was used to show that there is potential to reduce the number of coefficients to 12.

Page 13: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Bibliography

• ANSI/AHRI Standard 540. 2015. Standard for performance rating of positive displacement refrigerant compressors and compressor units.

• Aute V., Martin C., Radermacher R. 2015. AHRI Project 8013: A study of methods to represent compressor performance data over an operating envelope based on a finite set of test data

Page 14: Matt Cambio Ingersoll Rand Seminar 13 Advances in

Questions?

Matt Cambio

[email protected]