Multiobjective Optimization Method for an Organic Rankine Cycle Integrated with the Heat Exchanger Network

2020 ◽  
Vol 59 (40) ◽  
pp. 18039-18049
Author(s):  
Yu-Ting Chen ◽  
Lei Wang ◽  
Yan-Yan Xu ◽  
Shuang Ye ◽  
Wei-Guang Huang
2020 ◽  
Vol 59 (25) ◽  
pp. 11596-11609 ◽  
Author(s):  
Xuan Dong ◽  
Zuwei Liao ◽  
Jingyuan Sun ◽  
Zhengliang Huang ◽  
Binbo Jiang ◽  
...  

Energy ◽  
2020 ◽  
Vol 195 ◽  
pp. 116922 ◽  
Author(s):  
Xiaojian Huang ◽  
Pei Lu ◽  
Xianglong Luo ◽  
Jianyong Chen ◽  
Zhi Yang ◽  
...  

2014 ◽  
Vol 53 (44) ◽  
pp. 16924-16936 ◽  
Author(s):  
Cheng-Liang Chen ◽  
Feng-Yi Chang ◽  
Tzu-Hsiang Chao ◽  
Hui-Chu Chen ◽  
Jui-Yuan Lee

2012 ◽  
Vol 516-517 ◽  
pp. 135-139
Author(s):  
Xiang Bai Hu ◽  
Guo Min Cui ◽  
Hai Zhu Xu ◽  
Jin Yang Wang

In order to overcome the difficulty of easily falling into the local minimum solution during the optimization process of heat exchanger network which is not considered fixed investment costs, an innovative method was presented. The total areas of local minimum solution were distributed equally, and then the distributed areas were assigned to initial areas for further optimization. The better local minimum solution was sought out after jumping out of local minimum solution. Through some case study, it presents that this optimization method is able to obtain better optimization results which is more suitable to industrial applications.


2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Davide Ziviani ◽  
Asfaw Beyene ◽  
Mauro Venturini

This paper presents the results of the application of an advanced thermodynamic model developed by the authors for the simulation of Organic Rankine Cycles (ORCs). The model allows ORC simulation both for steady and transient analysis. The expander, selected to be a scroll expander, is modeled in detail by decomposing the behavior of the fluid stream into several steps. The energy source is coupled with the system through a plate heat exchanger (PHE), which is modeled using an iterative sub-heat exchanger modeling approach. The considered ORC system uses solar thermal energy for ultralow grade thermal energy recovery. The simulation model is used to investigate the influence of ORC characteristic parameters related to the working medium, hot reservoir and component efficiencies for the purpose of optimizing the ORC system efficiency and power output. Moreover, dynamic response of the ORC is also evaluated for two scenarios, i.e. (i) supplying electricity for a typical residential user and (ii) being driven by a hot reservoir. Finally, the simulation model is used to evaluate ORC capability to meet electric, thermal and cooling loads of a single residential building, for typical temperatures of the hot water exiting from a solar collector.


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