In this work, a multi-variable multi-objective methodology aimed to perform the validation of the thermodynamic model has been applied to the Capstone C30 micro gas turbine. The methodology is based on a genetic optimization algorithm, where decision variables and objectives are set depending on available experimental data. The results of the studied case highlight the capability of the method to point out some experimental data inconsistencies and that it can lead to a consistency thermodynamic reconstruction of the micro turbine behaviour.
Thermodynamic model validation of Capstone C30 micro gas turbine / Gimelli, Alfredo; Sannino, Raniero. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - 126:(2017), pp. 955-962. (Intervento presentato al convegno ATI 2017 - 72nd Conference of the Italian Thermal Machines Engineering Association) [10.1016/j.egypro.2017.08.184].
Thermodynamic model validation of Capstone C30 micro gas turbine
Gimelli Alfredo
;Sannino Raniero
2017
Abstract
In this work, a multi-variable multi-objective methodology aimed to perform the validation of the thermodynamic model has been applied to the Capstone C30 micro gas turbine. The methodology is based on a genetic optimization algorithm, where decision variables and objectives are set depending on available experimental data. The results of the studied case highlight the capability of the method to point out some experimental data inconsistencies and that it can lead to a consistency thermodynamic reconstruction of the micro turbine behaviour.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
