TY  - JOUR
AV  - none
TI  - Application of bat algorithm and fuzzy systems to model exergy changes in a gas turbine
SP  - 685
ID  - scholars4060
N1  - cited By 16
N2  - Exergy analysis plays a major role in thermal systems. Using exergy, apart from finding components for a potential for further improvement, fault detection and diagnosis, performance optimization, and environmental impact assessment can be conducted. This chapter addresses the use of fuzzy systems for modeling exergy destructions in the main components of an industrial gas turbine. The details include: (i) system description and the challenges in developing first principle models, (ii) thermodynamic models for part load and full load operating conditions, (iii) model identification technique that uses fuzzy systems and a meta-heuristic nature inspired algorithm called Bat Algorithm, (iv) validation graphs for semi-empirical models, and (v) validation test for fuzzy models. In the validation of the fuzzy model, the inputs to the model are considered the same as the inputs as experienced by the gas turbine generator. The comparison tests between actual data and prediction demonstrate how promising the combined method is as compared to separate use of the fuzzy systems trained by a heuristic approach.
PB  - Springer Verlag
SN  - 1860949X
Y1  - 2013///
EP  - 719
VL  - 427
A1  - Tamiru, A.L.
A1  - Hashim, F.M.
JF  - Studies in Computational Intelligence
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867562513&doi=10.1007%2f978-3-642-29694-9_26&partnerID=40&md5=a2b071d0a4007bda55b945377511dcd3
ER  -