NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle
The National Snow and Ice Data Center recently replaced its traditional cooling system with a new air conditioning system that utilizes an economizer and Coolerado air conditioning units. These units represent one of the first commercially available applications of the Maisotsenko cooling cycle. A d...
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ftunicolboulder:oai:scholar.colorado.edu:cven_gradetds-1023 2023-05-15T17:14:20+02:00 NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle Weerts, Benjamin 2012-01-01T08:00:00Z application/pdf https://scholar.colorado.edu/cven_gradetds/19 https://scholar.colorado.edu/cgi/viewcontent.cgi?article=1023&context=cven_gradetds unknown CU Scholar https://scholar.colorado.edu/cven_gradetds/19 https://scholar.colorado.edu/cgi/viewcontent.cgi?article=1023&context=cven_gradetds Civil Engineering Graduate Theses & Dissertations Coolerado energy savings heat exchanger efficiency Maisotesenko cycle modeling Architectural Engineering Energy Systems Mechanical Engineering text 2012 ftunicolboulder 2018-10-07T08:49:24Z The National Snow and Ice Data Center recently replaced its traditional cooling system with a new air conditioning system that utilizes an economizer and Coolerado air conditioning units. These units represent one of the first commercially available applications of the Maisotsenko cooling cycle. A datalogging system was installed that measured the data center’s power consumption before and after the cooling system was replaced. This data was organized and used to prove a 90% cooling energy reduction for the NSIDC. The data logging system also collected temperatures and humidities of inlet and outlet air of a Coolerado air conditioner. After using these data to validate a theoretical model developed by researchers at the National Renewable Energy Laboratory, the model was used to simulate slightly modified heat and mass exchanger designs of the Coolerado system to improve performance. Sensitivity analysis was performed and found a few design parameters that are important to the thermodynamic performance of the Coolerado system, while others were proved insignificant. Channel heights, sheet size and ambient pressure have the most significant impacts on the performance. Overall, it was found that the current design performs reasonably well and with minor modifications could perform optimally, as suggested by the theoretical model. Text National Snow and Ice Data Center University of Colorado, Boulder: CU Scholar |
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Coolerado energy savings heat exchanger efficiency Maisotesenko cycle modeling Architectural Engineering Energy Systems Mechanical Engineering |
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Coolerado energy savings heat exchanger efficiency Maisotesenko cycle modeling Architectural Engineering Energy Systems Mechanical Engineering Weerts, Benjamin NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle |
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Coolerado energy savings heat exchanger efficiency Maisotesenko cycle modeling Architectural Engineering Energy Systems Mechanical Engineering |
description |
The National Snow and Ice Data Center recently replaced its traditional cooling system with a new air conditioning system that utilizes an economizer and Coolerado air conditioning units. These units represent one of the first commercially available applications of the Maisotsenko cooling cycle. A datalogging system was installed that measured the data center’s power consumption before and after the cooling system was replaced. This data was organized and used to prove a 90% cooling energy reduction for the NSIDC. The data logging system also collected temperatures and humidities of inlet and outlet air of a Coolerado air conditioner. After using these data to validate a theoretical model developed by researchers at the National Renewable Energy Laboratory, the model was used to simulate slightly modified heat and mass exchanger designs of the Coolerado system to improve performance. Sensitivity analysis was performed and found a few design parameters that are important to the thermodynamic performance of the Coolerado system, while others were proved insignificant. Channel heights, sheet size and ambient pressure have the most significant impacts on the performance. Overall, it was found that the current design performs reasonably well and with minor modifications could perform optimally, as suggested by the theoretical model. |
format |
Text |
author |
Weerts, Benjamin |
author_facet |
Weerts, Benjamin |
author_sort |
Weerts, Benjamin |
title |
NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle |
title_short |
NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle |
title_full |
NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle |
title_fullStr |
NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle |
title_full_unstemmed |
NSIDC Green Data Center Project: Coolerado and Modeling an Application of the Maisotsenko Cycle |
title_sort |
nsidc green data center project: coolerado and modeling an application of the maisotsenko cycle |
publisher |
CU Scholar |
publishDate |
2012 |
url |
https://scholar.colorado.edu/cven_gradetds/19 https://scholar.colorado.edu/cgi/viewcontent.cgi?article=1023&context=cven_gradetds |
genre |
National Snow and Ice Data Center |
genre_facet |
National Snow and Ice Data Center |
op_source |
Civil Engineering Graduate Theses & Dissertations |
op_relation |
https://scholar.colorado.edu/cven_gradetds/19 https://scholar.colorado.edu/cgi/viewcontent.cgi?article=1023&context=cven_gradetds |
_version_ |
1766071698697748480 |