Multi-objective optimization research of printed circuit heat exchanger based on RSM and NSGA-II
J Lv, Y Sun, J Lin, X Luo, P Li - Applied Thermal Engineering, 2024 - Elsevier
The printed circuit heat exchanger (PCHE) is widely recognized for its high efficiency and
compactness, making it a valuable component in the supercritical carbon dioxide (S-CO 2) …
compactness, making it a valuable component in the supercritical carbon dioxide (S-CO 2) …
[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 …
Non linear stability analysis of supercritical water cooled reactor: Parallel channels configuration
The present work is devoted to the study of non-linear dynamics of the supercritical water
reactor (SCWR) with a parallel channel configuration. To fulfil this objective, point reactor …
reactor (SCWR) with a parallel channel configuration. To fulfil this objective, point reactor …
Turbine Design and Optimization for a Supercritical CO2 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 (sCO2-
BC). At the same time, the turbine design and optimization process for the sCO2-BC is …
BC). At the same time, the turbine design and optimization process for the sCO2-BC is …
Machine learning-based optimization of a mini-channel heatsink geometry
The research on cooling electronics devices in workstations, servers, and other devices has
become one of the rapidly growing technologies today, with the generation of high heat …
become one of the rapidly growing technologies today, with the generation of high heat …
A machine learning-based study of sCO2 cycle precooler's design and performance with straight and zigzag channels
This research addresses a gap by investigating pumping power reduction through efficient
channel geometries, an area underexplored due to complexities in pseudo-critical flow and …
channel geometries, an area underexplored due to complexities in pseudo-critical flow and …
Quantitative assessment and multi-objective optimization of supercritical CO2 cycles with multiple operating parameters
X Gu, H Chen, S Song, W Xie, Y Chen, T Jia… - International Journal of …, 2024 - Elsevier
To clarify the importance degree and assess the effect of key parameters on comprehensive
performance during operational adjustment, the artificial neural network (ANN) method is …
performance during operational adjustment, the artificial neural network (ANN) method is …
Construction of Game Model between Carbon Emission Minimization and Energy and Resource Economy Maximization Based on Deep Neural Network
L Ma, D Wang - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Under this background, this paper tries to find countermeasures and ways for carbon
reduction by observing and analyzing the influencing factors of carbon emissions, designing …
reduction by observing and analyzing the influencing factors of carbon emissions, designing …
[HTML][HTML] Advancements in Supercritical Carbon Dioxide Brayton Cycle for Marine Propulsion and Waste Heat Recovery
B Alzuwayer, A Alhashem, M Albannaq, K Alawadhi - Processes, 2024 - mdpi.com
The Supercritical Carbon Dioxide Brayton Cycle (sCO2-BC) is a highly efficient and eco-
friendly alternative for marine propulsion. The adoption of sCO2-BC aligns with the industry's …
friendly alternative for marine propulsion. The adoption of sCO2-BC aligns with the industry's …