NOTE: Restrictions are in place to limit access to one or more of the files associated with this item. Authorized users must log in to gain access. Non-authorized users do not have access to these files.
Visit the Energy Systems Laboratory Homepage.
dc.creator | Zhang, Z. | |
dc.creator | Liu, J. | |
dc.date.accessioned | 2012-07-13T22:04:59Z | |
dc.date.available | 2012-07-13T22:04:59Z | |
dc.date.issued | 2012 | |
dc.identifier.other | ESL-IE-12-05-20 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/145906 | |
dc.description.abstract | This paper evaluates the energy savings potential of multi-cell cooling tower optimal sequencing control methods. Annual tower fan energy usage is calculated for a counter-flow tower with multiple variable-speed fans. Effectiveness-NTU tower model is employed to predict the cooling tower performance at various conditions. Natural convection when the fan is off is accounted by using an assumed airflow rate. The energy savings at five cities representing different typical climates are studied using typical meteorological year data. The results show that, if the tower capacity can be increased by 50% and 100% by running extra tower cells, the annual total fan power usage can be reduced by 44% and 61%, respectively. A cumulative saving percent curve is generated to help estimate the annual total savings percent when extra cooling tower capacity is available during only part of a year. | en |
dc.publisher | Energy Systems Laboratory (http://esl.tamu.edu) | |
dc.publisher | Texas A&M University (http://www.tamu.edu) | |
dc.title | Optimal sequencing of a cooling tower with multiple cells | en |
dc.contributor.sponsor | Nexant, Inc. |
This item appears in the following Collection(s)
-
IETC - Industrial Energy Technology Conference
Industrial Energy Technology Conference