| 普适传热定律下广义不可逆卡诺制冷循环火用经济最佳性能 |
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| 引用本文： | 李俊,陈林根.普适传热定律下广义不可逆卡诺制冷循环火用经济最佳性能[J].热科学与技术,2021,20(1):72-78. |
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| 作者姓名： | 李俊 陈林根 |
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| 作者单位： | 武汉交通职业学院船舶与航运学院,湖北武汉430065;武昌理工学院人工智能学院,湖北武汉430223;武汉工程大学热科学与动力工程研究所,湖北武汉430205;武汉工程大学机电工程学院,湖北武汉430205 |
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| 基金项目： | 武汉交通职业学院科研创新团队资助项目 |
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| 摘 要： | 应用有限时间热力学理论,以广义不可逆卡诺制冷循环为对象,以(火用)烟经济性能为优化目标,研究了普适传热定律下循环的最佳性能,导出了循环有限时间(火用)经济性能界限以及优化目标之间的最佳关系,并分析了不同传热定律、各种损失和价格比因素对最佳(火用)经济性能的影响.所得结果具有普适性并可以为实际制冷机进行改良提供一种参考.
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| 关 键 词： | 有限时间热力学 广义不可逆卡诺制冷循环 有限时间(火用)经济性能界限 广义热力学优化 |
| 收稿时间： | 2019/5/22 0:00:00 |
| 修稿时间： | 2020/1/10 0:00:00 |
Exergoeconomic optimal performances of generilized irreversible Carnot refrigeration cycles with universal heat transfer law |
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| LI Jun,CHEN Lingen.Exergoeconomic optimal performances of generilized irreversible Carnot refrigeration cycles with universal heat transfer law[J].Journal of Thermal Science and Technology,2021,20(1):72-78. |
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| Authors: | LI Jun CHEN Lingen |
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| Affiliation: | (School of Naval Architecture and Navigation,Wuhan Technical College of Communication,Wuhan 430065,China;Artificial Inteligence School,Wuchang University of Technology,Wuhan 430223,China;Institute of Thermal Science and Power Engineering,Wuhan Institute of Engineering,Wuhan 430205,China;School of Mechanical&Electrical Engineering,Wuhan Institute of Engineering,Wuhan 430205,China) |
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| Abstract: | The optimal performances of a generalized irreversible Carnot refrigeration cycle with universal heat transfer law are studied. The research objective is exergoeconomic performance. The optimal relationships between the finite-time exergoeconomic performance bound and optimization objective are derived, and the effects of heat transfer laws, various losses and price ratio on the optimal finite-time exergoeconomic performance are analyzed. The obtained results are universal and can be a reference for the designs of practical refrigerators. |
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| Keywords: | finite time thermodynamics generalized irreversible Carnot refrigeration cycle finite time exergoeconomic performance bound generalized thermodynamic optimization |
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