張春路

張春路，男，博士，同濟大學機械與能源工程學院教授。

基本介紹

• 中文名：張春路
• 畢業院校：上海交通大學
• 學位/學歷：博士
• 職業：教師
• 專業方向：製冷空調系統仿真、最佳化與控制
• 就職院校：同濟大學機械與能源工程學院

個人經歷

教育經歷

1999 上海交通大學 製冷及低溫工程專業，博士

1997 上海交通大學 製冷及低溫工程專業，碩士

1994 上海交通大學 製冷設備與低溫技術專業，學士

工作經歷

1999.08-2004.10 上海交通大學 製冷與低溫工程所，講師、副教授

2004.10-2010.02 開利(Carrier)全球研發中心，技術經理、高級技術經理

2010.03-現在 同濟大學 機械與能源工程學院，教授、博士生導師、製冷與低溫工程研究所所長

研究方向

 製冷空調系統仿真、最佳化與控制

 冷藏鏈技術

 先進制冷系統

出版圖書

作者名稱：張春路

作者類型：

作者時間：2013年1月

《製冷空調系統仿真原理與技術》全面闡述了製冷系統穩態仿真技術的原理，包括製冷系統仿真技術概論、計算方法基礎、製冷劑和載冷劑（包括濕空氣）的熱物性簡化計算、壓縮機模型、節流元件模型、冷凝器模型、蒸發器模型、輔助設備模型（包括泵與風機、連線管、四通換向閥、儲液器和氣液分離器等）、製冷系統模型以及仿...

主講課程

主講“製冷技術”、“製冷裝置自動化”、“製冷壓縮機”、“Heat Transfer”、“Refrigeration System Modeling and Analysis”等課程.

學術成果

教學工作與專業教材著作

《製冷空調系統通用仿真平台GREATLAB使用手冊與實例分析》. 北京: 化學工業出版社, 2015.

《製冷空調系統仿真原理與技術》. 北京: 化學工業出版社, 2012.

承擔或主要參與的科研項目

 上海市教育委員會科研創新項目重點項目：“基於部件神經網路模型的製冷空調系統混合仿真方法”

 中央高校基本科研業務費專項：“溫濕度獨立控制超市空調製冷系統節能關鍵技術”

 國家自然科學基金基金項目：“製冷系統仿真算法的圖論生成方法”

 與美的、海爾、格力、Carrier等企業的合作項目

代表性論文(第一及通訊作者)

[1] Yuan Han, Zhang Chunlu. Regenerated air cycle potentials in heat pump applications.International Journal of Refrigeration, 2015, 51: 1-11.

[2] Sun Lei, Yang Liang, Shao Liangliang, Zhang Chunlu. Overall thermal performance oriented numerical comparison between elliptical and circular finned-tube condensers.International Journal of Thermal Sciences, 2015, 89: 234-244. (SCI: 000348879400021)

[3] Yang Liang, Li Zeyu, Shao Liangliang, Zhang Chunlu. Model-based dimensionless neural networks for fin-and-tube condenser performance evaluation.International Journal of Refrigeration, 2014, 48: 1-9. (SCI: 000347592500002)

[4] Yang Liang, Zhang Chunlu. A generalized dimensionless local power-law correlation for refrigerant flow through adiabatic capillary tubes and short tube orifices.International Journal of Refrigeration, 2014, 46: 69-76. (SCI: 000345233500009)

[5] Hu Jian, Yang Liang, Shao Liangliang, Zhang Chunlu. Generic network modeling of reciprocating compressors.International Journal of Refrigeration, 2014, 45: 107-119. (SCI: 000343623100013)

[6] Zhang Chunlu, Yuan Han. An important feature of air heat pump cycle: heating capacity in line with heating load.Energy, 2014, 72: 405-413. (SCI: 000340321100037)

[7] Sun Lei, Zhang Chunlu. Evaluation of elliptical finned-tube heat exchanger performance using CFD and response surface methodology.International Journal of Thermal Sciences, 2014, 75: 45-53. (SCI: 000328012100005)

[8] Shao Liangliang, Wang Jiangcui, Jin Xiaochen, Zhang Chunlu. Assessment of existing dimensionless correlations of refrigerant flow through adiabatic capillary tubes.International Journal of Refrigeration, 2013, 36(1): 270-278. (SCI: 000314375800025)

[9] Shao Liangliang, Yang Liang, Zhao Lingxiao, Zhang Chunlu. Hybrid steady-state modeling of a residential air-conditioner system based on component neural networks.Energy and Buildings, 2012, 50: 189–195. (SCI: 000306040100020)

[10] Shi Yuling, Yang Liang, Zhang Chunlu. Air management modeling of condensing units in a confined space and its impact on the chiller system performance.Energy and Buildings, 2011, 43(10): 2673–2677. (SCI: 000295297700014)

[11] Zhang Weijiang, Zhang Chunlu. A correlation-free on-line optimal control method of heat rejection pressures in CO2 transcritical systems.International Journal of Refrigeration, 2011, 34(4): 844-850. (SCI: 000291576500004)

[12] Ji Junjie, Shi Yuling, Zhang Chunlu. Hybrid numerical simulation of large-scale gas-fired tubular heat exchangers.HVAC&R Research, 2011, 17(1): 118-130. (SCI: 000288301200009)

[13] Yang Liang, Zhang Chunlu. On subcooler design for integrated two-temperature supermarket refrigeration system.Energy and Buildings, 2011, 43(1): 224-231. (SCI: 000284682700027)

[14] Zhang Weijiang, Zhang Chunlu. Transient modeling of an air-conditioner with a rapid cycling compressor and multi-indoor units.Energy Conversion and Management, 2011, 52(1): 1-7. (SCI: 000284746800001)

[15] Shi Yuling, Ji Junjie, Zhang Chunlu. Semiporous media approach for numerical simulation of flow through large-scale sparse tubular heat exchangers.HVAC&R Research, 2010, 16(5): 617-628. (SCI: 000282307100005)

[16] Zhao Lingxiao, Yang Liang, Zhang Chunlu. Network modeling of fin-and-tube evaporator performance under dry and wet conditions.ASME Journal of Heat Transfer, 2010, 132(7): 074502. (SCI: 000277388100017)

[17] Zhao Lingxiao, Shao Liangliang, Zhang Chunlu. Steady-state hybrid modeling of economized screw water chillers using polynomial neural network compressor model.International Journal of Refrigeration, 2010, 33(4): 729-738. (SCI: 000278417400010)

[18] Zhao Lingxiao, Zhang Chunlu. Fin-and-tube condenser performance evaluation using neural networks.International Journal of Refrigeration, 2010, 33(3): 625-634. (SCI: 000277936500021)

[19] Shao Liangliang, Yang Liang, Zhang Chunlu. Comparison of heat pump performance using fin-and-tube and microchannel evaporators under frost conditions.Applied Energy, 2010, 87(4): 1187-1197. (SCI: 000274506500012)

[20] Yang Liang, Zhang Chunlu. Analysis on energy saving potential of integrated supermarket HVAC and refrigeration systems using multiple subcoolers.Energy and Buildings, 2010, 42(2): 251-258. (SCI: 000274506500012)

[21] Yang Liang, Zhao Lingxiao, Zhang Chunlu, Gu Bo. Loss-efficiency model of single and variable-speed compressors using neural networks.International Journal of Refrigeration, 2009, 32(6): 1423-1432. (SCI: 000269466700032)

[22] Yang Liang, Zhang Chunlu. Modified neural network correlation of refrigerant mass flow rates through adiabatic capillary and short tubes: extension to CO2 transcritical flow.International Journal of Refrigeration, 2009, 32(6): 1293-1301. (SCI: 000269466700018)

[23] Shao Liangliang, Yang Liang, Zhang Chunlu, Gu Bo. Numerical modeling of serpentine microchannel condensers.International Journal of Refrigeration, 2009, 32(6): 1162-1172. (SCI: 000269466700006)

[24] Zhang Weijiang, Zhang Chunlu, Ding Guoliang. On three forms of momentum equation in transient modeling of residential refrigeration systems.International Journal of Refrigeration, 2009, 32(5): 938–944. (SCI: 000268048800019)

[25] Zhang Weijiang, Ding Shufu, Zhang Chunlu. Transient modeling of an air-cooled chiller with economized compressor Part II: Application to control design.Applied Thermal Engineering, 2009, 29(11-12): 2403-2407. (SCI: 000269347000037)

[26] Zhang Weijiang, Zhang Chunlu, Ding Guoliang. Transient modeling of an air-cooled chiller with economized compressor Part I: model development and validation.Applied Thermal Engineering, 2009, 29(11-12): 2396-2402. (SCI: 000269347000036)

[27] Zhao Lingxiao, Zhang Chunlu, Gu Bo. Neural network based polynomial correlation of single and variable speed compressor performance.HVAC&R Research, 2009, 15(2): 255-268. (SCI: 000272788100006)

[28] Zhao Lingxiao, Zhang Chunlu, Shao Liangliang, Yang Liang. A generalized neural network model of refrigerant mass flow through adiabatic capillary tubes and short tube orifices.ASME Journal of Fluids Engineering, 2007, 129(12): 1559-1564. (SCI: 000251911200011)

[29] Shao Liangliang, Zhang Chunlu. Logic unconstrained multi-zone evaporator and condenser models.International Journal of Refrigeration, 2007, 30(5): 926-931. (SCI: 000248031400019)

[30] Zhang Chunlu, Zhao Lingxiao. Model-based neural network correlation of refrigerant mass flow rates through adiabatic capillary tubes.International Journal of Refrigeration, 2007, 30(4): 690-698. (SCI: 000246937500012)

[31] Wang Weijuan, Zhao Lingxiao, Zhang Chunlu. Generalized neural network correlation for flow boiling heat transfer of R22 and its alternative refrigerants inside horizontal smooth tubes.International Journal of Heat and Mass Transfer, 2006, 49(15-16): 2458-2465. (SCI: 000238245000006)

[32] Zhang Weijiang, Zhang Chunlu. A generalized moving-boundary model for transient simulation of dry-expansion evaporators under larger disturbances.International Journal of Refrigeration, 2006, 29(7): 1119-1127. (SCI: 000240885300008)

[33] Zhang Chunlu, Yang Liang. Modeling of supercritical CO₂flow through short tube orifices.ASME Journal of Fluids Engineering, 2005, 127(6): 1194-1198. (SCI: 000233282400018)

[34] Zhang Chunlu. Generalized correlation of refrigerant mass flow rate through adiabatic capillary tubes using artificial neural network.International Journal of Refrigeration, 2005, 28(4): 506-514. (SCI: 000229380600007)

[35] Yang Liang, Zhang Chunlu. Two-fluid model of refrigerant two-phase flow through short tube orifice.International Journal of Refrigeration, 2005, 28(3): 419-427. (SCI: 000227694600012)

[36] Zhang Chunlu. Intensive parameter analysis of adiabatic capillary tube using approximate analytic solution.International Journal of Refrigeration, 2004, 27(5): 456-463. (SCI: 000223116600002)

[37] Zhang Chunlu, Ding Guoliang. Approximate analytic solutions of adiabatic capillary tube.International Journal of Refrigeration, 2004, 27(1): 17-24. (SCI: 000186624500003)