Development of surrogate-optimization models for a novel transcritical power cycle integrated with a small modular reactor

Development of surrogate-optimization models for a novel transcritical power cycle integrated with a small modular reactor

In recent years, various types of surrogate optimization models have been proposed to reduce the computational time and to improve the emulation accuracy. In this study, by leveraging an ANN surrogate model developed earlier, a comprehensive and efficient optimization algorithm is conceived for the...

Full description

Bibliographic Details
Main Authors: Yili Zhang, Jacob Bryan, Geordie Richards, Hailei Wang
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Energy and AI
Subjects:
Surrogate model
Optimization
Binary classifier model
Global optimizer
Thermodynamic model
Transcritical cycle
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000836

Internet

http://www.sciencedirect.com/science/article/pii/S2666546823000836

Similar Items