Numerical study and machine learning on local flow and heat transfer characteristics of supercritical carbon dioxide mixtures in a sinusoidal wavy channel PCHE-Reference-Cited by-同舟云学术

Numerical study and machine learning on local flow and heat transfer characteristics of supercritical carbon dioxide mixtures in a sinusoidal wavy channel PCHE

Published:2024-05 Issue: Volume:223 Page:125278
ISSN:0017-9310
Container-title:International Journal of Heat and Mass Transfer
language:en
Short-container-title:International Journal of Heat and Mass Transfer

Author:

Wen Zhe-Xi^ORCID,Wu Jing-Lin,Wang Shuai-Shuai,Cheng Jia-Qi^ORCID,Li Qing

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference35 articles.

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2. Effects of technical progress on performance and application of supercritical carbon dioxide power cycle: a review;Liao;Energy Conv. Manag.,2019

3. Supercritical CO2 Brayton cycle: a state-of-the-art review;Liu;Energy,2019

4. CO2-based mixture working fluids used for the dry-cooling supercritical Brayton cycle: thermodynamic evaluation;Liu;Appl. Therm. Eng.,2019

5. Investigation on the performance of the supercritical Brayton cycle with CO2-based binary mixture as working fluid for an energy transportation system of a nuclear reactor;Hu;Energy,2015

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