General and unique issues at multiple scales for supercritical carbon dioxide power system: A review on recent advances
Under the background of carbon reduction, the development of efficient power conversion
system has drawn more important attention. The advantages of high efficiency and …
system has drawn more important attention. The advantages of high efficiency and …
Applications of machine learning in supercritical fluids research
L Roach, GM Rignanese, A Erriguible… - The Journal of …, 2023 - Elsevier
Machine learning has seen increasing implementation as a predictive tool in the chemical
and physical sciences in recent years. It offers a route to accelerate the process of scientific …
and physical sciences in recent years. It offers a route to accelerate the process of scientific …
A performance recovery coefficient for thermal-hydraulic evaluation of recuperator in supercritical carbon dioxide Brayton cycle
Recuperator is an important component in supercritical carbon dioxide Brayton cycle.
However, open literature mainly focused on the performance of recuperator in component …
However, open literature mainly focused on the performance of recuperator in component …
Study on thermal-hydraulic performance of printed circuit heat exchangers with supercritical methane based on machine learning methods
Q Li, Q Zhan, S Yu, J Sun, W Cai - Energy, 2023 - Elsevier
In this study, a machine learning approach was used to predict thermal-hydraulic
performance of supercritical methane flow in a printed circuit heat exchanger (PCHE). Local …
performance of supercritical methane flow in a printed circuit heat exchanger (PCHE). Local …
[HTML][HTML] Performance enhancement of a C-shaped printed circuit heat exchanger in supercritical CO2 Brayton cycle: A machine learning-based optimization study
The present work is focused on enhancing the overall thermo-hydraulic performance of a
previously proposed C-shaped printed circuit heat exchanger (PCHEs) using Machine …
previously proposed C-shaped printed circuit heat exchanger (PCHEs) using Machine …
Optimal design of a supercritical carbon dioxide recompression cycle using deep neural network and data mining techniques
This study aims to explore and optimize the high-dimensional design space of the
supercritical CO 2 recompression cycle (sCO 2-RC) using deep learning and data mining …
supercritical CO 2 recompression cycle (sCO 2-RC) using deep learning and data mining …
Numerical study and machine learning on local flow and heat transfer characteristics of supercritical carbon dioxide mixtures in a sinusoidal wavy channel PCHE
ZX Wen, JL Wu, SS Wang, JQ Cheng, Q Li - International Journal of Heat …, 2024 - Elsevier
The ambient temperature has a great influence on the practical application of the
supercritical carbon dioxide (S-CO 2) Brayton cycle. The introduction of mixtures is an …
supercritical carbon dioxide (S-CO 2) Brayton cycle. The introduction of mixtures is an …
Optimal combination of converging and diverging minichannels in PCHE as precooler under diverse operating conditions of supercritical CO2
The performance of printed circuit heat exchangers (PCHEs) has been studied extensively
in supercritical CO 2 power cycles. However, no clear analysis has been conducted to …
in supercritical CO 2 power cycles. However, no clear analysis has been conducted to …
[HTML][HTML] Efficiency analysis of solar radiation on chemical radioactive nanofluid flow over a porous surface with magnetic field
Artificial neural networks have revolutionized machine learning by providing exceptional
capabilities for modeling complicated mechanisms and solving various challenges …
capabilities for modeling complicated mechanisms and solving various challenges …
Machine learning and prediction study on heat transfer of supercritical CO2 in pseudo-critical zone
ZX Wen, JL Wu, XW Cao, JQ Cheng, SS Wang… - Applied Thermal …, 2024 - Elsevier
The utilization of supercritical carbon dioxide (S-CO 2) as a working fluid in energy
conversion systems has gained widespread recognition as an efficient and environmentally …
conversion systems has gained widespread recognition as an efficient and environmentally …