Calculation of the power loss coefficient of steam turbine as a part of the cogeneration plant

A cogeneration plant operates under very variable conditions within a reporting period (usually one year) and this frustrates the achievement of the high standards stipulated by the EU Directive from 2004. Taking into consideration these difficulties, one needs to start with the decomposition of the...

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Veröffentlicht in:Energy (Oxford) 2013-09, Vol.59, p.642-651
Hauptverfasser: Urošević, Dragan, Gvozdenac, Dušan, Grković, Vojin
Format: Artikel
Sprache:eng
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Zusammenfassung:A cogeneration plant operates under very variable conditions within a reporting period (usually one year) and this frustrates the achievement of the high standards stipulated by the EU Directive from 2004. Taking into consideration these difficulties, one needs to start with the decomposition of the cogeneration plant in order to determine a virtual part of the plant that can meet the requirements of the Directive on the basis of conducted measurements and calculations. In this way, the plant can be partially qualified as eligible for economic and financial benefits. The focus of this paper is an analysis of the power loss coefficient of steam turbines for the generation of useful heat energy and electricity simultaneously. This applies to all cogeneration plants comprising extraction-condensing steam turbines and combined cycles (gas turbine and steam turbine) when heat is extracted prior to the bottoming cycle. The proposed procedure for calculation of power loss coefficient is easily applicable in industrial practice. The viability of the proposed method is demonstrated in the case of calculations for a 10 MWe (combined cycle gas turbine) plant. •Definitions given in the European Directive for CHP (combined heat and power) are discussed.•Power loss coefficient is calculated based on standard industrial measurements.•The calculation is demonstrated for real CCGT (combined cycle gas turbine) plant calculation.•The results are also sufficiently reliable for economic and financial analysis.
ISSN:0360-5442
DOI:10.1016/j.energy.2013.07.010