Multi-objective performance optimization & thermodynamic analysis of solar powered supercritical CO2 power cycles using machine learning methods & genetic algorithm

Multi-objective performance optimization & thermodynamic analysis of solar powered supercritical CO2 power cycles using machine learning methods & genetic algorithm

The present study is focused on multi-objective performance optimization & thermodynamic analysis from the perspectives of energy and exergy for Recompression, Partial Cooling & Main Compression Intercooling supercritical CO2 (sCO2) Brayton cycles for concentrated solar power (CSP) a...

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Bibliographic Details
Main Authors: Asif Iqbal Turja, Md Mahmudul Hasan, M. Monjurul Ehsan, Yasin Khan
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Energy and AI
Subjects:
Supercritical CO2
Concentrated solar power
Thermodynamic analysis
Machine learning
Artificial neural network
Multi-objective optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S266654682300099X

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http://www.sciencedirect.com/science/article/pii/S266654682300099X

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