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- Bahrami, Saeed (author)
Identifying a simplified model for heavy duty gas turbine
- Article/chapterEnglish2014
Publisher, publication year, extent ...
- 2014-06-14
- Springer Science and Business Media LLC,2014
Numbers
- LIBRIS-ID:oai:lup.lub.lu.se:bf48f4a2-2c0a-4ba0-ac12-5c75c1d99195
- https://lup.lub.lu.se/record/4608706URI
- https://doi.org/10.1007/s12206-014-0532-5DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- A dynamic model was developed for long-term simulation of a heavy duty gas turbine. The model includes the essential control algorithm of the gas turbine as well as the most common outputs and other important intermediate variables. Control algorithm details, such as wind up protection and load limiter algorithm which have large effect on gas turbine transient behavior, are included. The model parameters are identified by applying genetic algorithm and least squares algorithm on regular operational data from a real plant to better match the model response to the real plant. The simulation results have been validated with real plant data and shown to have valid accuracy for many engineering applications.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Maskinteknik Energiteknik hsv//swe
- ENGINEERING AND TECHNOLOGY Mechanical Engineering Energy Engineering hsv//eng
- Genetic algorithm
- Heavy duty gas turbine
- Least squares
- Power
- generation
- System identification
Added entries (persons, corporate bodies, meetings, titles ...)
- Ghaffari, Ali (author)
- Sadati, S. Hossein (author)
- Thern, MarcusLund University,Lunds universitet,Kraftverksteknik,Institutionen för energivetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Thermal Power Engineering,Department of Energy Sciences,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)vok-mth (author)
- KraftverksteknikInstitutionen för energivetenskaper (creator_code:org_t)
Related titles
- In:Journal of Mechanical Science and Technology: Springer Science and Business Media LLC28:6, s. 2399-24081738-494X1976-3824
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