Advanced gas turbine performance modelling using response surface methods. (26th October 2018)

• Record Type: Journal Article
• Authors: Seetharama-Yadiyal, V.; Brighenti, G.D.; Zachos, P.K.
• Is Part Of: Aeronautical journal. Volume 122:Number 1258(2018)
• Page Start: 1871
• Page End: 1883
• Publication Date: 2018-10-26
• Subjects: Surrogate modelling -- Response surface -- Combined cycle gas turbines; Aeronautics -- Periodicals; 629.1305
• DOI: 10.1017/aer.2018.119
• Languages: English
• ISSNs: 0001-9240

Abstract

ABSTRACT: Surrogate models are widely used for dataset correlation. A popular application very frequently shown in public literature is in the field of engineering design where a large number of design parameters are correlated with performance indices of a complex system based on existing numerical or experimental information. Such an approach allows the identification of the key design parameters and their impact on the system's performance. The generated surrogate model can become part of wider computational platforms and enable optimisation of the complex system without the need to run expensive simulations. In this paper, a number of design point simulations for a combined gas-steam cycle are used to generate a response surface. The generated response surface correlates a range of cycle's key design parameters with its thermal efficiency while it also enables identification of the optimum overall pressure ratio and the high pressure level of the raised steam across a range of recuperator effectiveness, pinch temperature difference across the heat recovery steam generator and the pressure at the condenser. The accuracy of a range of surrogate models to capture the design space is evaluated using root mean square statistical metrics.