极端相对论粒子量子卡诺热机热力学优化  

Thermodynamic optimization of quantum Carnot thermal engines of extreme relativistic particles

作　　者：魏轩宇 殷勇 尹博今 龚怡涵 龙明泽 WEI Xuan-yu;YIN Yong;YIN Bo-jin;GONG Yi-han;LONG Ming-ze

机构地区：[1]武汉工程大学光电信息与能源工程学院,湖北武汉430205 [2]武汉工程大学热科学与动力工程研究所,湖北武汉430205

出　　处：《节能》2024年第2期46-50,共5页Energy Conservation

基　　金：武汉工程大学科学基金(项目编号:19QD22);武汉工程大学研究生创新基金(项目编号:CX2022466)。

摘　　要：以一维无限深势阱中的极端相对论粒子为工质,建立量子卡诺热机循环模型,导出循环的功率、效率、有效功率等性能参数的表达式,研究热漏系数等参数对循环性能的影响。结果表明:热漏系数对效率有较大影响,工质温比对无量纲功率、有效功率均有较大影响,粒子处于第一激发态能级的概率对功率和效率都有明显影响;有效功率是功率和效率的最佳折中。A quantum Carnot heat engine cycle model based on extreme relativistic particles in one-dimensional infinite deep potential well is established.The expressions of performance parameters such as power,efficiency,and effective power of the cycle are derived,and the influence of heat leakage coefficient and other parameters on the cycle performance is studied.The results show that the heat leakage coefficient has a great influence on efficiency,the working substance temperature ratio has a great influence on dimensionless power and effective power,and the probability of particles at the first excited state energy level has a significant impact on power and efficiency.The effective power is the best compromise between power and efficiency.

关 键 词：有限时间热力学 量子卡诺热机 一维无限深势阱 极端相对论粒子 性能优化 

分 类 号：O414[理学—理论物理]