热循环和过程中的对称性
Huan Guo1,2, Yifu Li3, Yujie Xu1,2
1Institute of Engineering Thermophysics, Chinese Academy of Sciences, 11 Beisihuanxi Rd, Haidian District, Beijing 100190, China.
iScience
|August 7, 2024
概括
对称性分析揭示了卡诺和兰金等热力学循环中固有的对称性. 这种方法仅仅使用对称性来证明卡诺效率,提供了超越传统热力学的新视角.
科学领域:
- 热力学是一种热力学.
- 对称性分析对称性分析
- 宏观的能源系统 宏观的能源系统
背景情况:
- 对称性分析是物理学中的一个强大的工具,但在宏观能量系统中未得到充分利用.
- 了解热力学循环可以通过新的分析方法来增强.
研究的目的:
- 探索对称分析在热力学循环中的应用.
- 展示如何利用对称性来推导基本的热力学原理.
- 将对称性分析扩展到涉及相位转换的周期.
主要方法:
- 对卡诺循环的CP图进行分析,以确定对称性 (反射,转换,旋转).
- 使用对称原则来证明最大的循环效率.
- 将对称性分析应用于具有相变的兰金循环.
主要成果:
- 卡诺循环表现出丰富的反射,转换和旋转对称性.
- 仅仅通过对称性分析,就可以确定卡诺效率是没有的最大可能.
- 该框架适用于具有相变的热循环,例如兰金循环.
结论:
- 对称性分析为热力学循环提供了宝贵的见解.
- 它提供了一个证明热力学效率的替代方法,独立于.
- 这种方法扩大了对称性分析在能源系统研究中的适用性.
相关概念视频
Cyclic Processes And Isolated Systems
2.7K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state.
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state.
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
2.7K
Thermodynamic Systems
5.0K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of tea boiling in a kettle. The...
Consider an example of tea boiling in a kettle. The...
5.0K
Symmetry in Maxwell's Equations
3.3K
Once the fields have been calculated using Maxwell's four equations, the Lorentz force equation gives the force that the fields exert on a charged particle moving with a certain velocity. The Lorentz force equation combines the force of the electric field and of the magnetic field on the moving charge. Maxwell's equations and the Lorentz force law together encompass all the laws of electricity and magnetism. The symmetry that Maxwell introduced into his mathematical framework may not be...
3.3K
Reversible and Irreversible Processes
4.1K
The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
4.1K
Entropy Change in Reversible Processes
2.5K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.5K
Properties of Fourier series II
141
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
A function f(t) is...
141


