Modeling and optimization of solar thermal-photovoltaic vacuum membrane distillation system by response surface methodology

被引:47
作者
Deng, Hongling [1 ]
Yang, Xiaohong [1 ,2 ]
Tian, Rui [2 ,3 ]
Hu, Junhu [1 ]
Zhang, Bo [4 ]
Cui, Fangda [4 ]
Guo, Guangyu [4 ]
机构
[1] Inner Mongolia Univ Technol, Coll Energy & Power Engn, Hohhot 010051, Peoples R China
[2] Inner Mongolia Univ Technol, Minist Educ, Key Lab Wind Energy & Solar Energy Utilizat Techn, Hohhot 010051, Peoples R China
[3] Inner Mongolia Univ Technol, Inner Mongolia Key Lab Renewable Energy, Hohhot 010051, Peoples R China
[4] New Jersey Inst Technol, Dept Mech Engn, Newark, NJ 07102 USA
基金
中国国家自然科学基金;
关键词
Solar thermal-photovoltaic system; Membrane distillation; Response surface methodology; Regression models; Permeate flux; Energy consumption; EXPERIMENTAL-DESIGN; REVERSE-OSMOSIS; DESALINATION; EFFICIENCY;
D O I
10.1016/j.solener.2019.11.006
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Response surface methodology is used in this study to model and optimize a solar thermal-photovoltaic vacuum membrane distillation (STPVMD) system with PVDF hollow fiber membrane. Regression models have been developed to forecast the effect of various operation factors on the permeate flux and the energy consumption. The operation factors in the model include the feed inlet temperature, the feed flow rate and the vacuum pressure. Analysis of variance is used to statistically validate the regression models. With permeate flux as the objective function of optimization, the optimal operation parameters are found to be 63 degrees C for the feed inlet temperature, 237 L/h for the feed flow rate, and 750 kPa for the vacuum pressure. Experimental tests show that the resulting permeate flux is 6.26 L/m(2).h, which is slightly higher than the predicted value of 6.05 L/m(2).h. The corresponding energy consumption is predicted to be 12.52 L/kW.h, demonstrating the effectiveness and reliability of the models.
引用
收藏
页码:230 / 238
页数:9
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