ShareLow refrigerant algorithm detection for cooling systems relying on trending and data analysis.
Number: pap. 3017
Author(s) : ALSALEEM F., QUEDAN A.
Summary
A hybrid algorithm of an enhanced version of Mann-Kendall trending and data analysis is proposed to solve the limitations of current technology in detecting and diagnosing cooling system refrigerant faults in general and refrigerant leakage specifically. A data abstraction mechanism is applied over feed of temperatures and power measurement to calculate and store only the significant information for further analysis. Next, an enhanced version of Mann-Kendall trending is applied periodically over the stored data to calculate the trend strength (upward or downward) for each measurement. Finally, a harmonic mean is utilized to balance the trends contribution and evaluate the result against a threshold value for potential faults. Such an algorithm is expected to have an important positive impact, because it is designed to accurately detect low refrigerant at an early stage. This should help in the following ways: (a) to reduce the impact of refrigerant emissions on climate, and (b) to potentially reduce the U.S. energy use by more than 0.1–.02 quad per year. This algorithm is a robust first step towards leveraging the latest technology advancements, especially in computer science and mathematics, in order to vertically advance the field of cooling systems.
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Details
- Original title: Low refrigerant algorithm detection for cooling systems relying on trending and data analysis.
- Record ID : 30019252
- Languages: English
- Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
- Publication date: 2016/07/11
Links
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Indexing
- Themes: Other air-conditioning equipment
- Keywords: Performance; Model; Detection; Default; Leakage; Refrigerant; Air conditioning
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Lab and field evaluation of fault detection and...
- Author(s) : WANG J., GORBOUNOV M., YASAR M., et al.
- Date : 2016/07/11
- Languages : English
- Source: 2016 Purdue Conferences. 16th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
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A probabilistic framework to diagnose faults of...
- Author(s) : DEY D., DONG B., LI Z.
- Date : 2016/07/11
- Languages : English
- Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
- Formats : PDF
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Improving the performance of PCA-based chiller ...
- Author(s) : HU Y., LIU J., ZHOU L., et al.
- Date : 2016/07/11
- Languages : English
- Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
- Formats : PDF
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Fault diagnosis of refrigerant charge based on ...
- Author(s) : LIU J., CHEN H., WANG J., et al.
- Date : 2016/07/11
- Languages : English
- Source: 2016 Purdue Conferences. 16th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
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A prediction method for overall economic value ...
- Author(s) : YUILL D. P., BRAUN J. E.
- Date : 2016/07/11
- Languages : English
- Source: 2016 Purdue Conferences. 16th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
View record