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Multi-Pressure Evaporation Cycle Optimization by abdullahazan23 is a document available to read on EtoBox.

This research paper presents the development of two novel multi-pressure evaporation configurations for enhancing the performance of the Supercritical Carbon Dioxide Brayton cycle. By employing genetic algorithms and machine learning optimization, the study compares the performance of these configurations to a baseline cycle, revealing improvements in efficiency and reduced exergy losses. The findings indicate that the series Brayton combined cycle outperforms the parallel version, contributing to a better

Author

abdullahazan23

Language

EN