4.6 Article

Analysis of the Maximum Efficiency and the Maximum Net Power as Objective Functions for Organic Rankine Cycles Optimization

期刊

ENTROPY
卷 25, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/e25060882

关键词

organic Rankine cycle (ORC); maximum efficiency; maximum net power output; PC-SAFT; fluorocarbons; hydrocarbons

向作者/读者索取更多资源

This study compares two objective functions, the maximum efficiency function and the maximum net power output function, to achieve the optimal conditions in organic Rankine cycles. The results show that these objective functions and the maximum entropy point provide excellent references for describing the optimal conditions. These references enable finding the optimal operating conditions within a determined temperature range, named the optimal temperature range of the boiler in this study, for any working fluid.
Maximum efficiency and maximum net power output are some of the most important goals to reach the optimal conditions of organic Rankine cycles. This work compares two objective functions, the maximum efficiency function, beta, and the maximum net power output function, omega. The van der Waals and PC-SAFT equations of state are used to calculate the qualitative and quantitative behavior, respectively. The analysis is performed for a set of eight working fluids, considering hydrocarbons and fourth-generation refrigerants. The results show that the two objective functions and the maximum entropy point are excellent references for describing the optimal organic Rankine cycle conditions. These references enable attaining a zone where the optimal operating conditions of an organic Rankine cycle can be found for any working fluid. This zone corresponds to a temperature range determined by the boiler outlet temperature obtained by the maximum efficiency function, maximum net power output function, and maximum entropy point. This zone is named the optimal temperature range of the boiler in this work.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据