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以最大效率和最大净功率为目标函数对有机朗肯循环进行优化分析。

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

作者信息

González Johan, Garrido José Matías, Quinteros-Lama Héctor

机构信息

Departamento de Tecnologías Industriales, Faculty of Engineering, Universidad de Talca, Merced 437, Curicó 3340000, Chile.

Departamento de Ingeniería Química, Faculty of Engineering, Universidad de Concepción, Concepción 4030000, Chile.

出版信息

Entropy (Basel). 2023 May 31;25(6):882. doi: 10.3390/e25060882.

DOI:10.3390/e25060882
PMID:37372227
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10297069/
Abstract

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, β, and the maximum net power output function, ω. 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.

摘要

实现最大效率和最大净功率输出是达到有机朗肯循环最佳条件的一些最重要目标。这项工作比较了两个目标函数,即最大效率函数β和最大净功率输出函数ω。分别使用范德华状态方程和PC-SAFT状态方程来计算定性和定量行为。针对一组八种工作流体进行了分析,其中考虑了碳氢化合物和第四代制冷剂。结果表明,这两个目标函数和最大熵点是描述有机朗肯循环最佳条件的极佳参考。这些参考使得能够找到一个区域,在该区域内可以为任何工作流体找到有机朗肯循环的最佳运行条件。该区域对应于由最大效率函数、最大净功率输出函数和最大熵点所获得的锅炉出口温度确定的温度范围。在这项工作中,该区域被称为锅炉的最佳温度范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/cd5a9bf4325b/entropy-25-00882-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/258da8b0f7b4/entropy-25-00882-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/703726af90de/entropy-25-00882-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/c729d91a3edc/entropy-25-00882-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/de66c66c0057/entropy-25-00882-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/18ddbf6a34d4/entropy-25-00882-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/bde7190b9895/entropy-25-00882-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/cd5a9bf4325b/entropy-25-00882-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/258da8b0f7b4/entropy-25-00882-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/703726af90de/entropy-25-00882-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/c729d91a3edc/entropy-25-00882-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/de66c66c0057/entropy-25-00882-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/18ddbf6a34d4/entropy-25-00882-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/bde7190b9895/entropy-25-00882-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3635/10297069/cd5a9bf4325b/entropy-25-00882-g007.jpg

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