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      我的主頁      中南大學      能源科學與工程學院      
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蘇文
個人簡介
姓名:蘇文

學院 | 系所:能源科學與工程學院 | 動力機械及工程

職稱:特聘副教授

郵箱:suwenzn@csu.edu.cn

聯系方式:電話:16622898632,微信:16622898632

男,博士,F在中南大學能源科學與工程學院,副教授。一直從事基于熱力循環的新能源利用,包括工質物性的基團估算、分子設計、ORC循環及超臨界S-CO2循環的優化仿真等研究。近5年來參與了包括國家“863”、國家自然科學基金在內的多個科研項目,已在國際SCI收錄期刊發表論文16篇(JCR一區論文10余篇),擔任ENERGY CONVERSION AND MANAGEMENT、ENERGY等多個期刊的審稿人。



歡迎碩士生及本科生加入研究團隊!

教育經歷
2014.9-2019.6,天津大學,工程熱物理專業,博士

2017.9-2018.9,美國馬里蘭大學,博士生聯合培養

2010.9-2014.6,天津大學,熱能與動力工程專業,本科

工作經歷
2019.7-至今,中南大學,能源科學與工程學院,特聘副教授

科研方向
1. 工質物性估算,包括基團貢獻法、物性大數據、機器學習等方法

2. 基于物性的工質分子設計

3. 新型熱力循環構建及仿真,包括ORC、S-CO2循環

4. CO2冷電聯供系統的運行機理及優化研究

課題組具有多個研究方向,所有研究均由導師全天候親自指導,包括研究內容的確定、創新點的凝練,甚至程序的編寫、實驗臺的搭建、論文寫作等。此外,課題組將為研究生提供每年的學術交流機會,包括國內會議工程熱物理年會,太陽能熱發電大會,國際會議ICAE、SET。歡迎碩士生及本科生加入研究團隊!

學術成果
科研項目:

[1] 中南大學特聘副教授科研啟動資金, 基于物性的有機朗肯循環工質設計研究, 80萬元,主持, 2019-2023

[2] 企業委托項目,超臨界CO2動力循環優化及動態仿真的關鍵技術研究,50萬元,主持,2020-2022

[3] 國家自然科學基金面上項目, 51476110, 非共沸工質冷凝過程中的氣液分離及氣相膨脹壓縮特性研究, 2014/01-2018/12,參與

[4] 國家科技部863項目, 2012AA051103, 200 kW級有機朗肯循環太陽能熱發電技術, 2012/01-2015/12,參與

[5] 國家自然科學基金面上項目, 51276123, 混合工質組分可調型有機朗肯循環關鍵科學問題研究, 2013/01-2016/12,參與

代表論文:

2020年:

[1] Aofang Yu, Wen Su*, Li Zhao, Xinxing Lin, Naijun Zhou. New knowledge on the performance of supercritical Brayton cycle with CO2-based mixtures. Energies, 2020.

[2] Wen Su*, Aofang Yu, Bin Yang, Li Zhao. Vapor-liquid separation of mixtures R134a/R600a at horizontal branch T-junctions. International Journal of Refrigeration, 2020.

[3] Wen Su*, Siman Zhou, Li Zhao, Naijun Zhou. Vapor-liquid equilibrium prediction of refrigerant mixtures with Peng–Robinson equation of state and binary interaction parameters calculated through group contribution model. International Journal of Thermophysics, 2020.

[4] 明勇,彭艷楠,蘇文*,魏國龍,王強,周乃君,趙力. 閉式熱源下混合工質與純工質的ORC性能比較. 化工學報, 2020.

2019年:

[1] Wen Su, Yunho Hwang, Yawei shao, Shuai Deng, Li Zhao, Xianhua Nie, Yue Zhang. Error analysis of ORC performance based on the Helmholtz equation with different binary interaction parameters of mixture. Energy, 2019, 166: 414-425.

2018年:

[1] Wen Su, Yunho Hwang, Nan Zheng, Shuai Deng, Li Zhao. Experimental study on the constituent separation performance of binary zeotropic mixtures in horizontal branch T-junctions. International Journal of Heat and Mass Transfer 2018, 127: 76-87.

[2] Wen Su, Yunho Hwang, Shuai Deng, Li Zhao, Dongpeng Zhao. Thermodynamic performance comparison of Organic Rankine Cycle between zeotropic mixtures and pure fluids under open heat source. Energy Conversion and Management, 2018, 165: 720-737.

[3] Wen Su, Yunho Hwang, Shuai Deng, Nan Zheng, Li Zhao, Pei Lu. Experimental study on phase separation of refrigerant at horizontal T-junction. International Journal of Multiphase Flow, 2018, 105: 217-233

[4] Wen Su, Li Zhao, Shuai Deng, Weicong Xu, Zhixin Yu. A limiting efficiency of subcritical Organic Rankine cycle under the constraint of working fluids. Energy, 2018, 143: 458-466.

[5] 蘇文, 趙力, 鄧帥. 基于工質物性的熱力循環性能探索. 科學通報, 2018, 2: 232-240.

[6] Xianhua Nie, Li Zhao, Shuai Deng, Wen Su, Yue Zhang. A review of molecular simulation applied in vapor-liquid equilibria (VLE) estimation of thermodynamic cycles. Journal of Molecular Liquids, 2018.

[7] Weicong Xu, Shuai Deng, Wen Su, Yin Zhang, Li Zhao. How to approach Carnot cycle via zeotropic working fluid: Research methodology and case study. Energy, 2018, 144: 576-586.

[8] 邵亞偉, 鄧帥, 蘇文, 趙力, 盧培, 趙東鵬. 制冷工質流動沸騰數值模擬中源項模型的研究進展. 化工進展. 2018, 37(8).

2017年:

[1] Wen Su, Li Zhao, Shuai Deng, Yanjie Zhao. How to predict the vapor slope of temperature-entropy saturation boundary of working fluids from molecular groups?. Energy, 2017, 135: 14-22.

[2] Wen Su, Li Zhao, Shuai Deng. Simultaneous working fluids design and cycle optimization for Organic Rankine cycle using group contribution model. Applied Energy, 2017, 202: 618-627.

[3] Wen Su, Li Zhao, Shuai Deng. Group contribution methods in thermod ynamic cycles: Physical properties estimation of pure working fluids. Renewable and Sustainable Energy Reviews, 2017, 79: 984-1001.

[4] Wen Su, Li. Zhao, Shuai Deng. Developing a performance evaluation model of Organic Rankine Cycle for working fluids based on the group contribution method. Energy Conversion and Management, 2017, 132: 307-315.

[5] Wen Su, Li. Zhao, Shuai Deng. New knowledge on the temperature-entropy saturation boundary slope of working fluids. Energy, 2017, 119: 211-217.

[6] Wen Su, Li. Zhao, Shuai Deng. Recent advances in modeling the vapor-liquid equilibrium of mixed working fluids. Fluid Phase Equilibrium, 2017, 432: 28-44.

2016年:

[1] Shuai Deng, Wen Su, Li. Zhao. A neural network for predicting normal boiling point of pure refrigerants using molecular groups and a topological index. International Journal of Refrigeration, 2016, 63: 63-71.

[2] 蘇文, 趙力, 鄧帥. 基于基團拓撲的遺傳神經網絡工質臨界溫度預測. 化工學報, 2016, 67(11): 4689-4695.

[3] 葉佳琦, 趙力, 鄧帥, 王曉東, 蘇文, 小型有機朗肯循環系統中工質泵的效率. 化工進展, 2016, 35(4): 1027-1032.

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