GT2008-51068 IMPROVEMENT OF PERFORMANCE PREDICTION BY AUTOMATED ASSIMILATION OF GAS TURBINE COMPONENT MAPS

ABSTRACT The performance data of most Siemens heavy-duty gas turbines which have been built in the last 20 years are stored in so-called typefiles. These typefiles contain the description of the thermodynamic operating behavior for each gas turbine type using several component maps, e.g., for the compressor, the turbine and the combustion chamber. In addition to all available high-accuracy performance test results, modern IT technology enables the user to handle a tremendous volume of measured data via remote access. This allows the user to determine and to guarantee the performance of modifications and upgrades with sufficient precision, even for older gas turbine types. The method for automated generation of typefiles based on the entire volume of available data and its corresponding Matlab ® based software solution are the focus of this contribution. Although this method offers a very promising source of data from various sites, the obtainable data sets usually do not cover the entire temperature and rotational speed range that is necessary to create a map suitable for all requisite operating conditions. Thus, theoretically-based additional information combined with special extrapolation methods are necessary

Generation of Turbine Maps Using a Fusion of Validated Operational Data and Streamline Curvature Method

This paper shows how operational data in combination with a calibrated stream line curvature method (SCM) and fleet statistics can be used for turbine map generation. The operational data storage system of industrial gas turbines can be used, in case the customer agreed to provide the data, for fleet statistics, degradation behavior investigation or component map generation. The generation of updated component maps using operational data is mainly necessary for older gas turbines types since the available numerical gas turbine models often do not represent the current state of knowledge. The process for component map generation based on operational data incorporates several steps explained in detail in this paper. The first step is a full thermodynamic evaluation, including the calculation of relevant parameters like isentropic efficiencies of compressor and turbine. Furthermore, the compressor mass flow and the turbine inlet temperature are determined. This step is accompanied with the calculation of systematic and random uncertainties for all required performance parameters. The thermodynamic evaluation is coupled with a data validation system. This system incorporates signal checks, a statistics based anomaly detection, a Kalman filter based single fault isolation und a fuzzy logic based multiple fault isolation. After the evaluation and validation of the data, aging effects are eliminated. In the next step, data sets from different sites are consolidated and shifted to meet the fleet average. The first step in calibrating the SCM is the rasterizing of the operational data. The Jacobian matrix of the SCM for the loss factors to be calibrated is generated automatically at the raster points. Afterwards, the calibration is done taking into account measurement uncertainties as well as different systematic uncertainties for the loss factors in order to achieve the minimum variance result. The updated SCM, calibrated to actual engine data, is then used for component map generation.</jats:p

Generation of Gas Turbine Component Maps on Basis of Operational Data

This paper describes how operational data from heavy duty gas turbines can be used for component map generation. The main aspects described are the data evaluation and validation process, the applied degradation correction methodology and the component map generation using calibrated streamline curvature methods for compressor and turbine. The operational data storage system of heavy duty gas turbines can be used, in case the customer agreed to provide the data, for fleet statistics, degradation behavior investigation or component map generation. The update of existing component maps using operational data is mainly necessary for older gas turbines types since the available numerical gas turbine models do not always represent the current state of knowledge. The process of generating component maps based on operational data requires several steps which are explained in detail in this paper. The first step is the data evaluation and validation part. This step is based on a full thermodynamic evaluation including an evaluation of systematic and random uncertainties for all required performance parameters. This generated dataset is then validated using a combination of a Kalman Filter based single fault isolator and a fuzzy logic based multiple fault isolator. A short performance evaluation of this data validation system is given as well. After the validation part the operational dataset is corrected for aging effects regarding compressor and turbine performance in order to get the new and clean component characteristic. Subsequently, a validated and aging corrected high quality database for the component map generation is available. The applied steps as well as a direct comparison for the compressor efficiency prior and post aging correction are displayed. In the following steps, already existing streamline curvature methods (SCM) for compressor and turbine are adapted to the generated dataset using a probabilistic based calibration process. The applied optimization technique is identical for compressor and turbine, but two different approaches for the calibration of the loss modeling have been implemented. The compressor SCM is calibrated with a minimum set of modified loss parameters which are modeled as a function of load. For the turbine, the modifications of the loss coefficients are constant over load. This requires an increased set of loss parameters for calibration compared to the compressor. The calibration results for both components are presented and discussed in detail. The calibrated SCMs can now be used for the component map generation in order to yield high quality component maps in accordance with current fleet experience even for older gas turbine frames.</jats:p

SurTec - Chemiefabrik als Passivhaus Schlussbericht

It could be shown that it is possible to create a factory building due to the rules of passive houses. Integrated planning with all partners and consequently controlled realization is necessary. Several construction details have been developed, for example vacuum isolated doors. (orig.)Das Passivhauskonzept konnte auch fuer Fabrikgebaeude als machbar umgesetzt werden. Durch entsprechenden Mehraufwand bei der Detailplanung, besonders an Schnittstellen, an denen die herkoemmlichen Gewerke am Bau zusammentreffen, konnte das Gesamtkonzept erfolgreich umgesetzt werden. An einigen Stellen, so z.B. bei dem Profil der Pfosten und Riegel der Atriumverglasung und bei den vakuumgedaemmten Tuerfuellungen wurde Neuland betreten und technische Neuentwicklungen bereitgestellt. Eine besondere Rolle kommt beim Bau eines Gebaeudes mit anspruchsvoller Detailplanung der Bauleitung zu, die stets ein waches Auge auf der Baustelle haben muss, um zu kontrollieren, ob die geplanten neuen Wege von den ausfuehrenden Handwerkern auch wirklich umgesetzt werden. (orig.)Available from TIB Hannover: F03B463 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEBundesministerium fuer Bildung und Forschung, Berlin (Germany)DEGerman

Entwicklung eines halbtechnischen Verfahrens zur kombiniert photo- und sonochemischen Dekontamination schadstoffbelasteter Waesser Abschlussbericht

Available from TIB Hannover: F03B9 / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEBundesministerium fuer Bildung und Forschung, Berlin (Germany)DEGerman