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Your search keyword '"Han, Peidong"' showing total 21 results
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21 results on '"Han, Peidong"'

8. An incompressible–compressible multiphase mesh-free particle method for boiling and condensation simulation.

Author

Han, Peidong, Cong, Hongchuan, Zhou, Ziqi, Sun, Zhongguo, and Xi, Guang

Subjects
*CONDENSATION, *MULTIPHASE flow, *BUBBLES, *SURFACE tension, *HEAT transfer, *EBULLITION, *HYDRODYNAMICS
Abstract

The description of boiling and condensation phenomena presents a challenging problem. We propose a Lagrangian incompressible–compressible mesh-free particle method for modeling multiphase flows involving boiling and condensation. This multiphase scheme combines the moving particle semi-implicit method with the smoothed particle hydrodynamics method, while incorporating a phase transformation model based on heat transfer to simulate gas–liquid phase transformation. Gas volume expansion and shrinkage are accounted for through particle splitting and merging techniques. Numerical investigations demonstrate the effectiveness and accuracy of this multiphase method and phase transformation model, including simulations of multiphase dam-break flow, rising bubble, Stefan problem, and sucking problem. Our approach successfully simulates the boiling growth and condensing collapse of vapor bubbles, which is validated against numerical and experimental results. Stable and relatively accurate simulations can be achieved for bubble collapse processes under different water subcooling degrees, gas overheating degrees, surface tension values, and bubble sizes. The complex process of boiling before condensation can be accurately reproduced. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Assessing the Spatio-Temporal Dynamics of Land Use Carbon Emissions and Multiple Driving Factors in the Guanzhong Area of Shaanxi Province

Author

Wang, Yali, primary, Liu, Yangyang, additional, Wang, Zijun, additional, Zhang, Yan, additional, Fang, Bo, additional, Jiang, Shengnan, additional, Yang, Yijia, additional, Wen, Zhongming, additional, Zhang, Wei, additional, Zhang, Zhixin, additional, Lin, Ziqi, additional, Han, Peidong, additional, and Yang, Wenjie, additional

Published
2023
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20. A Fuzzy C-means based User Clustering Method for Demand Response Regulation

Author

Ye Tian, Han Peidong, Liang Wang, Ziyan Li, Hongwei Ma, and Liang Li

Subjects
Demand response, Set (abstract data type), Mathematical optimization, Smart grid, business.industry, Computer science, Electric consumption, Renewable energy consumption, business, Cluster analysis, Fuzzy logic, Renewable energy
Abstract

The smart grid provides a good chance for the application of demand response technology, which could improve the renewable energy consumption and system stability. This paper proposes a Fuzzy C-means based User Clustering Method for Demand Response Regulation. Fuzzy C-means clustering method is adopted to find the user set which has the closest load characteristics with the renewable energy generation. This user set has the best probability to consume renewable energy. Then, particle swarm algorithm is used to adjust the electric price, which could slightly change the electric consumption behavior of the above user set. Finally, a higher renewable energy consumption rate could be achieved under a stable and economical condition.

Published
2021

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