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Energy performance prediction of the centrifugal pumps by using a hybrid neural network 期刊论文
Energy, 2020, 卷号: 213, 页码: 119005
Authors:  Huang RF(黄仁芳);  Zhang Z(张珍);  Zhang W;  Mou JG;  Zhou PJ;  Wang YW(王一伟)
Adobe PDF(4596Kb)  |  Favorite  |  View/Download：346/146  |  Submit date：2021/01/29
Centrifugal pump  Energy performance  Loss model  Physics-informed neural network  
Study of working fluid selection of organic Rankine cycle (ORC) for engine waste heat recovery 期刊论文
Energy, 2011, 卷号: 36, 期号: 5, 页码: 3406-3418
Authors:  Wang EH;  Zhang HG;  Fan BY;  Ouyang MG;  Zhao Y(赵颖);  Mou QH(牟乾辉);  Zhang, HG, Beijing Univ Technol, Coll Environm & Energy Engn, Pingleyuan 100, Beijing 100124, Peoples R China
Adobe PDF(3356Kb)  |  Favorite  |  View/Download：4859/1830  |  Submit date：2012/03/31
Organic Rankine Cycle  Waste Heat Recovery  Working Fluid  Engine  Matlab  Performance Analysis  Dry Fluids  Power  Optimization  Expander  Design  System