.png){kind=icon}
返回
An initial value insensitive constrained linear predictive evolution algorithm for gas-liquid phase equilibrium calculation problems
.png){kind=icon}
PRE
AI
DOI：10.1063/5.0223509.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Heuristic algorithms are gradually becoming a type of new promising methods for solving phase equilibrium calculation problems since they do not have to calculate an initial value in advance like traditional methods such as direct Newton's method and indirect thermodynamic method. A new heuristic optimizer, constrained linear prediction evolution algorithm (CLPE) for phase equilibrium calculation under given volume, temperature, and moles (NVT-flash) is proposed in this paper. CLPE employs the total Helmholtz free energy of the NVT-flash problem as its objective function and employs the volume and moles vector of a certain phase as decision variables. Numerical experiments are conducted on four NVT-flash problems. The consistency between the experimental results and those obtained by some traditional methods verifies that the proposed CLPE is effective. The comparative advantage in computational overhead over the similar algorithms indicates the significance of this study. The success of CLPE can drive more heuristic algorithms to solve NVT-flash problems more efficiently, so as to advance the field of phase equilibrium calculation.
Keyword:
TEMPERATURE
VOLUME
MOLES
MIXTURES
期刊
IF:
4.3
论文数:
2.9W
被引数:
8.0W
机构
引用论文
Sustainability and vulnerability: integrating equity into plans for central city redevelopment可持续性与脆弱性：将公平性融入中央城市更新规划
PREAI
分享收藏Phase Equilibrium Studies in the Geothermal Energy Development: The Effect of Hydrogen Bond on the Multi-Component Fluid.png)
ACS OMEGA
OAAI
ACS OMEGAIF4.3
OAAI分享收藏分享收藏The development of redevelopment: public housing and urban renewal in Los Angeles再开发的发展：公共住房与城市更新在洛杉矶
PREAI
分享收藏分享收藏
查看更多内容