杨富斌 副教授、博士生导师
E-mail：yangfubin@bjut.edu.cn
通讯地址：北京市朝阳区平乐园100号
教育背景
2007年——2011年 河北农业大学现代科技学院 学士
2011年——2014年 中北大学 硕士
2014年——2018年 威尼斯wns.8885556 博士
2016年——2017年 Mississippi State University 公派联合培养博士生
工作经历
2018年——2020年 清华大学 能源与动力工程系 博士后
2020年——至今 威尼斯wns.8885556 威尼斯wns.8885556 副教授
研究方向
1.车用动力系统节能减排
2.中低温热能高效利用
奖项荣誉
2018年 第十一届吴仲华优秀研究生奖
2022年 北京市科协青年人才托举工程
主要科研项目
1.2020年1月——2022年12月 国家自然科学基金青年科学基金项目（批准号：51906119）：基于“分子特征-工质物性-循环评价”耦合建模机制的ORC热力学研究 主持
2.2019年1月——2020年12月 北京市自然科学基金青年项目（资助编号：3194053）：多压蒸发、分液冷凝非共沸工质朗肯循环耦合工作机理研究 主持 已结题（结题评价：优秀）
3.2019年6月——2020年7月 中国博士后科学基金面上资助项目（资助编号：2019M650673） 主持 已结题
主要论文论著、专利
已发表SCI检索期刊论文70余篇，其中ESI热点论文1篇、ESI高被引论文8篇；Google Scholar中累计被引用2500余次，h-index为27；2022年10月入选由美国斯坦福大学John P.A. Ioannidis教授团队发布的全球前2%顶尖科学家榜单。部分代表性成果如下：
2020年以后：
[1]Xu Ping, Fubin Yang*, Hongguang Zhang, Chengda Xing, Mingzhe Yu, Yan Wang. Investigation and multi-objective optimization of vehicle engine-organic Rankine cycle (ORC) combined system in different driving conditions. Energy, 2023, 263: 125672.
[2]Xu Ping, Fubin Yang*, Hongguang Zhang, Chengda Xing, Wujie Zhang, Yan Wang, Baofeng Yao. Dynamic response assessment and multi-objective optimization of organic Rankine cycle (ORC) under vehicle driving cycle conditions. Energy, 2023, 263: 125551.
[3]Yachao Pan, Fubin Yang*, Hongguang Zhang, Yinlian Yan, Anren Yang, Jia Liang, Mingzhe Yu. Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure. Energies, 2022, 15(21): 8160.
[4]Dong Yan, Fubin Yang*, Hongguang Zhang, Yonghong Xu, Yan Wang, Jian Li, Zhong Ge. How to Quickly Evaluate the Thermodynamic Performance and Identify the Optimal Heat Source Temperature for Organic Rankine Cycles?. Journal of Energy Resources Technology-Transactions of the ASME, 2022, 144(11): 112106.
[5]Xu Ping, Fubin Yang*, Hongguang Zhang, Chengda Xing, Baofeng Yao, Yan Wang. An outlier removal and feature dimensionality reduction framework with unsupervised learning and information theory intervention for organic Rankine cycle (ORC). Energy, 2022, 254: 124268.
[6]Xu Ping, Fubin Yang*, Hongguang Zhang, Chengda Xing, Chongyao Wang, Wujie Zhang, Yan Wang. Energy, economic and environmental dynamic response characteristics of organic Rankine cycle (ORC) system under different driving cycles. Energy, 2022, 246: 123438.
[7]Wujie Zhang, Fubin Yang*, Hongguang Zhang, Xu Ping, Dong Yan, Chongyao Wang. Application of two-phase pulsating flow in organic Rankine cycle system for diesel engine waste heat recovery. Energy, 2022, 243: 122776.
[8]Xu Ping, Fubin Yang*, Hongguang Zhang, Chengda Xing, Wujie Zhang, Yan Wang. Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature selection. Applied Energy, 2022, 311: 118682.
[9]Xu Ping, Fubin Yang*, Hongguang Zhang*, Jian Zhang, Wujie Zhang. Elman and back propagation neural networks based working fluid side energy level analysis of shell-and-tube evaporator in organic Rankine cycle (ORC) system. Alexandria Engineering Journal, 2022, 61: 7339-7352.
[10]Xu Ping, Fubin Yang*, Hongguang Zhang, Yan Wang, Biao Lei, Yuting Wu. Performance limits of the single screw expander in organic Rankine cycle with ensemble learning and hyperdimensional evolutionary many-objective optimization algorithm intervention. Energy, 2022, 245: 123254.
[11]FuBin Yang, FuFang Yang, Jian Li, ShuoZhuo Hu, Zhen Yang, YuanYuan Duan*. Analysis of the thermodynamic performance limits of the organic Rankine cycle in low and medium temperature heat source applications. Science China Technological Sciences, 2021, 64(8): 1624-1640.
[12]Wujie Zhang, Fubin Yang*, Hongguang Zhang, Xu Ping, Dong Yan. Numerical analysis and optimization design of fin-and-tube evaporator in organic Rankine cycle system for diesel engine waste heat recovery. International Journal of Heat and Mass Transfer, 2021, 175: 121376.
[13]Dong Yan, Fubin Yang*, Fufang Yang*, Hongguang Zhang, Zhiyu Guo, Jian Li, Yuting Wu. Identifying the key system parameters of the organic Rankine cycle using the principal component analysis based on an experimental database. Energy Conversion and Management, 2021, 240: 114252.
[14]Xu Ping, Fubin Yang*, Hongguang Zhang*, Jian Zhang, Wujie Zhang, Gege Song. Introducing machine learning and hybrid algorithm for prediction and optimization of multistage centrifugal pump in an ORC system. Energy, 2021, 222: 120007.
[15]Xu Ping, Fubin Yang*, Hongguang Zhang*, Wujie Zhang, Gege Song, Yuxin Yang. Prediction and optimization of isentropic efficiency of vortex pump under full operating conditions in Organic Rankine Cycle waste heat recovery system based on deep learning and intelligent algorithm. Sustainable Energy Technologies and Assessments, 2020, 42: 100898.
[16]Xu Ping, Fubin Yang*, Hongguang Zhang*, Wujie Zhang, Jian Zhang, Gege Song, Chongyao Wang, Baofeng Yao, Yuting Wu. Prediction and optimization of power output of single screw expander in organic Rankine cycle (ORC) for diesel engine waste heat recovery. Applied Thermal Engineering, 2021, 182: 116048. ESI高被引论文
[17]Chongyao Wang, Fubin Yang*, Hongguang Zhang*, Rui Zhao, Yonghong Xu. Energy recovery efficiency analysis of organic Rankine cycle system in vehicle engine under different road conditions. Energy Conversion and Management, 2020, 223: 113317.
[18]Jian Li, Fubin Yang*, Hongguang Zhang*, Zhong Wu, Yaming Tian, Xiaochen Hou, Yonghong Xu, Jing Ren. Comparative analysis of different valve timing control methods for single-piston free piston expander-linear generator via an orthogonal experimental design. Energy, 2020, 195: 116966.
2020年以前：
[19]Yuwen Fang, Fubin Yang*, Hongguang Zhang*. Comparative analysis and multi-objective optimization of organic Rankine cycle (ORC) using pure working fluids and their zeotropic mixtures for diesel engine waste heat recovery. Applied Thermal Engineering, 2019, 157: 113704.
[20]Fubin Yang, Hongguang Zhang*, Xiaochen Hou, Yaming Tian, Yonghong Xu. Experimental study and artificial neural network based prediction of a free piston expander-linear generator for small scale organic Rankine cycle. Energy, 2019, 175: 630-644.
[21]Fubin Yang, Heejin Cho*, Hongguang Zhang*. Performance prediction and optimization of an organic Rankine cycle using back propagation neural network for diesel engine waste heat recovery. Journal of Energy Resources Technology-Transactions of the ASME, 2019, 141(6): 062006.
[22]Fubin Yang, Heejin Cho*, Hongguang Zhang*, Jian Zhang, Yuting Wu. Artificial neural network (ANN) based prediction and optimization of an organic Rankine cycle (ORC) for diesel engine waste heat recovery. Energy Conversion and Management, 2018, 164: 15-26. ESI高被引论文
[23]Fubin Yang, Heejin Cho*, Hongguang Zhang*, Jian Zhang. Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery. Applied Energy, 2017, 205: 1100-1118.
[24]Fubin Yang, Hongguang Zhang*, Zhibin Yu, Enhua Wang, Fanxiao Meng, Hongda Liu, Jingfu Wang. Parametric optimization and heat transfer analysis of a dual loop ORC (organic Rankine cycle) system for CNG engine waste heat recovery. Energy, 2017, 118: 753-775. ESI高被引论文
[25]Fubin Yang, Hongguang Zhang*, Songsong Song, Chen Bei, Hongjin Wang, Enhua Wang. Thermoeconomic multi-objective optimization of an organic Rankine cycle for exhaust waste heat recovery of a diesel engine. Energy, 2015, 93: 2208-2228.
[26]Fubin Yang, Hongguang Zhang*, Chen Bei, Songsong Song, Enhua Wang. Parametric optimization and performance analysis of ORC (organic Rankine cycle) for diesel engine waste heat recovery with a fin-and-tube evaporator. Energy, 2015, 91: 128-141.
[27]Fubin Yang, Xiaorui Dong, Hongguang Zhang*, Zhen Wang, Kai Yang, Jian Zhang, Enhua Wang, Hao Liu, Guangyao Zhao. Performance analysis of waste heat recovery with a dual loop organic Rankine cycle (ORC) system for diesel engine under various operating conditions. Energy Conversion and Management, 2014, 80: 243-255. ESI高被引论文
