Turbine Design and Optimization for a Supercritical CO<sub>2</sub> Cycle Using a Multifaceted Approach Based on Deep Neural Network

Turbine Design and Optimization for a Supercritical CO<sub>2</sub> Cycle Using a Multifaceted Approach Based on Deep Neural Network

Turbine as a key power unit is vital to the novel supercritical carbon dioxide cycle (sCO<sub>2</sub>-BC). At the same time, the turbine design and optimization process for the sCO<sub>2</sub>-BC is complicated, and its relevant investigations are still absent in the literatu...

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Autores principales: Muhammad Saeed, Abdallah S. Berrouk, Burhani M. Burhani, Ahmed M. Alatyar, Yasser F. Al Wahedi
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
turbine design
supercritical CO<sub>2</sub>
artificial neural network
optimization
multi-objective genetic algorithm
machine learning
Technology
T
Acceso en línea:https://doaj.org/article/f13ca11f33a84b61aa1237239a36052f
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