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| dc.creator | Harriz, J. T. | |
| dc.date.accessioned | 2010-12-07T18:42:47Z | |
| dc.date.available | 2010-12-07T18:42:47Z | |
| dc.date.issued | 1985-05 | |
| dc.identifier.other | ESL-IE-85-05-19 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/93117 | |
| dc.description.abstract | Tracking the performance of extraction, back-pressure and condensing steam turbines is a crucial part of minimising energy and maintenance costs for large process industries. A thorough understanding of key equipment performance characteristics promotes economical in-house power generation. Proper Scheduling of maintenance reduces downtime. Rankine Efficiency as a function of steam flow can be accurately predicted from several sources of available data. Sample analysis of predicted performance data (Willans Line, flow versus extraction enthalpy, flow versus exhaust temperature and flow versus used energy) and test data are presented. Techniques for deriving efficiency curves from each source are described. These techniques can be applied directly to any steam turbine reliability study effort. | en |
| dc.language.iso | en_US | |
| dc.publisher | Energy Systems Laboratory (http://esl.tamu.edu) | |
| dc.subject | Steam Turbine Performance | en |
| dc.subject | Tracking Methods | en |
| dc.subject | Maintenance | en |
| dc.title | Predicting Steam Turbine Performance | en |
| dc.type | Presentation | en |
This item appears in the following Collection(s)
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IETC - Industrial Energy Technology Conference
Industrial Energy Technology Conference