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热机的优化与稳定性:熵演化的作用

Optimization and Stability of Heat Engines: The Role of Entropy Evolution.

作者信息

Gonzalez-Ayala Julian, Santillán Moises, Santos Maria Jesus, Calvo Hernández Antonio, Mateos Roco José Miguel

机构信息

Departamento de Física Aplicada, Universidad de Salamanca, 37008 Salamanca, Spain.

Instituto de Física Fundamental y Matemáticas, Universidad de Salamanca, 37008 Salamanca, Spain.

出版信息

Entropy (Basel). 2018 Nov 9;20(11):865. doi: 10.3390/e20110865.

Abstract

Local stability of maximum power and maximum compromise (Omega) operation regimes dynamic evolution for a low-dissipation heat engine is analyzed. The thermodynamic behavior of trajectories to the stationary state, after perturbing the operation regime, display a trade-off between stability, entropy production, efficiency and power output. This allows considering stability and optimization as connected pieces of a single phenomenon. Trajectories inside the basin of attraction display the smallest entropy drops. Additionally, it was found that time constraints, related with irreversible and endoreversible behaviors, influence the thermodynamic evolution of relaxation trajectories. The behavior of the evolution in terms of the symmetries of the model and the applied thermal gradients was analyzed.

摘要

分析了低耗散热机最大功率和最大折衷(Ω)运行状态动态演化的局部稳定性。在扰动运行状态后,轨迹到稳态的热力学行为显示出稳定性、熵产生、效率和功率输出之间的权衡。这使得可以将稳定性和优化视为单一现象的相互关联部分。吸引盆内的轨迹显示出最小的熵降。此外,发现与不可逆和内可逆行为相关的时间约束会影响弛豫轨迹的热力学演化。从模型对称性和所施加的热梯度方面分析了演化行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a86c/7512428/51fce7353d4b/entropy-20-00865-g001.jpg

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