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| dc.creator | Reddy, T. A. | |
| dc.creator | Elleson, J. | |
| dc.creator | Haberl, J. S. | |
| dc.date.accessioned | 2005-07-25T20:58:53Z | |
| dc.date.available | 2005-07-25T20:58:53Z | |
| dc.date.issued | 2000 | |
| dc.identifier.other | TR-00-08-01 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/2004 | |
| dc.description | The results of the application of the methodology to case study site #2 shows, on an annual basis (i.e., during the four summer months June-September), the Thermal Energy Storage (TES) system saves about $12,465 in total, of which $16,240 is due to demand savings, and a resulting penalty of $3,775 due to extra energy use consumption. The analysis of the accuracy of using short-term data sets at site #2 to predict the annual benefits in using the TES revealed that the short-term monitoring period from August-September provides the best prediction (an under-prediction in total savings of 1.7% only) followed by monitoring during the month of September only (under-prediction of 11%). An uncertainty analysis was performed for case study site #2 for the four months of available data. It was found that the fractional uncertainty for demand savings was about 40% at the 68% confidence level, while that for the energy savings was about 300%. Thus, as expected, there is very large uncertainty in the energy use savings (or penalty) due to the TES, while the savings in demand are within acceptable bounds, a positive finding. The results from the application of the methodology to case study site #3 shows, on an annual basis, the TES system saves about $54,955 in total, of which $60,062 is due to demand savings, and a resulting penalty of $5,107 due to the extra energy consumed by the TES plant. The analysis of the accuracy of using short-term data sets at site #3 to predict the annual benefits in using the TES revealed that the short-term monitoring period from January-June provides the best prediction (an over-prediction in total savings of 2.3% only) followed by monitoring during the 3-month period of March-May (an over-prediction of 3.3%). An uncertainty analysis was performed for the case when all four months of data were available. It was found that the fractional uncertainty for demand savings was about 40% at the 68% confidence level, which is identical to case study sites #1 and #2. The uncertainty in the energy savings was very large given that the energy use savings were less than 1% of the total use. However, the savings in demand are within acceptable bounds, another positive finding. | en |
| dc.description.abstract | This is the final report for ASHRAE Research Project 1004-RP: Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests. This report presents the results of the development and application of the methodology to Case Study #2, the Delmar College, in Corpus Christi, Texas, and Case Study #3, the Austin Convention Center, in Austin, Texas. A previous report presented the analysis results for Case Study #1, which was a large hotel located in San Francisco, CA. This report also includes a summary and discussion of the results from all three case studies, recommendations for further research, and a step-by-step guide to applying the analysis methodology. | en |
| dc.format.extent | 3233322 bytes | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University | |
| dc.rights | All rights reserved by the Energy Systems Laboratory of Texas A&M and the authors. | en |
| dc.subject | ASHRAE | en |
| dc.subject | Thermal Energy Storage system | en |
| dc.subject | TES | en |
| dc.title | Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests, Final Report | en |
| dc.type | Text | en |
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Technical Reports
Technical Reports from the Energy Systems Laboratory