Title: Enhanced exergy-based malfunction diagnosis of an integrated solar combined cycle system: parametric study and multi-objective optimisation

Authors: Atiye Mehdipoor; Fateme Ahmadi Boyaghchi

Addresses: Department of Mechanical Engineering, Faculty of Engineering, Alzahra University, 1993893973, Tehran, Iran ' Department of Mechanical Engineering, Faculty of Engineering, Alzahra University, 1993893973, Tehran, Iran

Abstract: In this research, a malfunction diagnosis method based on the enhanced exergy concept is applied to quantify the anomalies' sources in a real integrated solar combined cycle system (ISCCS). A comprehensive parametric study is performed to evaluate the malfunction indicators and the overall performance of the power plant by varying the substantial operating parameters under single and multi-malfunction conditions. Then, the fast and elitist non-dominated sorting genetic algorithm (NSGA-II) is applied to maximise the net power and minimise the total exergy destruction rate of the system under a multi-malfunction condition.

Keywords: malfunction diagnosis; performance degradation; enhanced exergy; ISCCS; parametric study; optimisation.

DOI: 10.1504/IJEX.2020.111688

International Journal of Exergy, 2020 Vol.33 No.4, pp.379 - 410

Received: 29 Nov 2019
Accepted: 08 May 2020
Published online: 09 Dec 2020 *

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