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许鹏

浏览量：来源： 时间：2021-06-10

姓名： 许鹏
性别： 男

出生年月：

 1971-01-01

职称：

 教授

党政职务：

 无

研究方向：

 建筑模拟与大数据应用、自动控制与故障诊断、信息化与全自动设计
导师类型： 博导

通讯地址：

 上海市嘉定区曹安公路4800号，机械学院A434室

电子邮箱：

 email:xupeng@tongji.edu.cn; 微信号：dr_xupeng

教育背景：

http://a434.tongji.edu.cn/ （许鹏教授课题组网站）

1988年至1992年，天津大学土木系暖通空调专业本科；

1992年至1995年，同济大学机械工程学院热能工程系暖通专业硕士；

1997年至2001年，美国科罗拉多大学，土木工程系获博士学位

2006年至2008年，加州大学伯克利分校Haas商学院，MBA

工作履历：

2001年至2009年，美国加州大学伯克利分校，劳伦斯伯克利国家实验室，能源与环境学院，科学家；

2010年至今，同济大学暖通空调及燃气研究所，任教授、博导

学术兼职：

2006年～今，曾兼任美国暖通空调协会ASHRAE协会智能建筑系统委员会主席，兼职山东大学自动控制系博士生导师合作教授、北京节能中心国外特聘专家，中国低碳协会专家委员会委员，国际标准化组织(ISO)建筑碳排放计量标准委员会编委等职务

研究领域：

在回到同济担任教学任务之前，2001年到2009年，许鹏在美国劳伦斯伯克利国家实验室建筑技术系担任科学家职务。许鹏多年从事暖通空调和建筑节能领域的科研工作，在有关智能建筑、建筑系统调试以及节能改造、新型建筑系统控制与监测、以及建筑能耗模拟等领域有十分丰富的工作经验，共发表科技论文三十多篇。许鹏担任美国暖通协会智能委员会主席期间，主持发起了一个建筑与智能电网界面通讯控制的研究项目。在加州能源委员会的支持下，组织并领导了一个由多个大学，包括普渡大学、加州大学伯克利分校的，实现建筑响应控制研究项目。获得加州电力公司的支持， 从事建筑热惰性的研究，开发了一种可以计算建筑动态热惰性的软件，该软件被加州电力公司采用。在美国国家自然科学基金的支持下，成功搭建了一套建筑控制虚拟系统，用来实现系统故障诊断和控制的优化。在美国能源部的项目支持下，发明了一套空调系统的自动故障诊断系统， 开发了全球工业品基础可互换性数据交换模式中的暖通空调系统的定义。为加州建立建筑与气候模型，预测一个未来加州100年，在不同的碳模型下，建筑峰值能耗变化的趋势。曾负责了美国能源部和中国政府的多个合作项目，包括北京奥运村的绿色认证、微能耗建筑、中国建筑能耗对标系统、世界银行支持天津既有建筑改造、北川地震重建的绿色示范项目等。

许鹏在同济期间工作期间的主要研究方向是建筑能源系统的模拟计算和控制优化，负责了建设部和上海市科委的多个研究项目。先后承担了上海市商业楼宇群需求响应控示范项目；利用建筑分项计量系统和建筑自控系统的数据实现空调系统的故障诊断；BIM/IFC支持下的空调系统全自动设计；空调系统冷站机房的自动巡检机器人的算法开发;开发一整套的楼宇大数据模型和算法，用以支持楼宇能耗负荷中短期预测和辅助空调系统的全自动设计。

在研项目 ：

1. 十三五国家重点研发计划。目标控制的前馈式绿色建筑运营管控技术。2018YFC0705903. 在研。主持

2. 十三五国家重点研发计划。 分布式综合能源系统多能耦合组件标准化建模。在研。2017YFB0903404.

3. 基于大数据的绿色建筑管理技术。国家重点研发计划培育。在研，主持。

4. 建筑设施智能巡检机器人空调故障图像识别算法研究。上海市闵行科委、企业合作。在研，主持。

4. 建筑多样化用的负荷预测算法。企业合作。在研，主持。

5. 建筑大数据分析方法。企业合作。在研，主持。

6. 佛山市政府，0809-1541CCG3A826，新能源发展规划，2016-2017,结题，主持

7. 国家科技部，SQ2015BA1202352，东部发达地区农居生产生活循环技术系统构建与ESCO模式示范，2015-2017,结题，主持

8. 美国联合技术公司，超高层建筑能源系统最优水系统配置优化与控制，2015-2016, 结题，主持

9. 美国能源基金会，G-1402-20095，商业建筑群需求响应控制示范，2014-2015,结题，主持

10. 国家发改委中国清洁发展机制基金，建筑碳排放总量控制和行动路线报告，2013-2015，结题，主持

11. 上海市，上海市中心城区大学公共建筑节能与能效监控公共服务平台创新与实践，2013-2014,结题，主持

12. 欧盟可再生能源与能效委员会，109010774，Improve energy efficiency of facility agriculture in China，2013-2014，结题，主持

13. 上海市科委，12230708900，生态建筑多种能源系统实时优化和控制系统研究与开发，2012-2014，结题，主持

14. 新奥能源集团，建筑太阳能光伏发电设施实时监控和故障诊断系统，2012-2014，结题，主持

15. 住房城乡与建设部，气候变化条件下的中国建筑能耗预测与低碳建筑技术碳排放量化评估，2011-2012，结题，主持

16. 上海市科委，建筑太阳能一体化光伏发电实时能效诊断系统，2011-2012,，结题，主持

学术成果与奖励：

2007年被美国劳伦斯伯克利国家实验室授予“Outstanding performance reward”；

著作，许鹏、殷荣欣、朱亚明、吴昌甫、沈鹏元、刘超等，《美国建筑节能研究总览》，中国建筑工业出版社

论文：

更多资讯和所有论文下载，请访问 http://a434.tongji.edu.cn 

第一作者/通讯作者/主要论文：

61【SCI】 Yongbao Chen, Zhe Chen, Peng Xu, Weilin Li, Huajing Sha, Zhiwei Yang, Guowen Li, Chonghe Hu. Quantification of electricity flexibility in demand response: Office building case study. Energy, 2019


60【SCI】Yongbao Chen, Aditya Desai, Ferdinand Schmidt, Peng Xu. Electricity demand flexibility performance of a sorption-assisted water storage on building heating. Applied Thermal Engineering, 2019

 

59【SCI】 Huajing Sha, Peng Xu, Zhiwei Yang, Yongbao Chen, Jixu Tang. Overview of computational intelligence for building energy system design. Renewable and Sustainable Energy Reviews, 2019, 108:76-90

 

58【SCI】Jin Hou, Zhiwei Yang, Peng Xu, Gongsheng Huang. Design and performance evaluation of novel personal cooling garment. Applied Thermal Engineering, 2019, 154:131-139

 

57【SCI】Pengyuan Shen,Mingkun Dai,Peng Xu,Wei Dong. Building heating and cooling load under different neighbourhood forms：Assessing the effect of external convective heat transfer. Energy, 2019, 173:75-91

 

56.【SCI】Jiefan Gu, Peng Xu, Zhihong Pang, Chen Yongbao , Ji Ying ,Chen Zhe. Extracting Typical Occupancy Data of Different Buildings from Mobile Positioning Data:Energy and Buildings,2018.


55. 【SCI】Zhihong Pang,Peng Xu,Zheng O'Neill,Jiefan Gu,Shunian Qiu,Xing Lu,Xin Li.Application of mobile positioning occupancy data for building energy simulation: An engineering case study.Building and environment, 2018, 141:1-15

54.【SCI】Jin Hou,Peng Xu,Xing lu,Zhihong Pang,Yiyi Chu,Gongsheng Huang.Implementation of expansion planning in existing district energy system: A case study in China.Applied energy, 2018, 211:269-281

53.【SCI】Yiyi Chu,Peng Xu,Zhiwei Yang and Weilin Li.Retrofitting existing buildings to control indoor PM2.5 concentration on smog days: Initial experience of residential buildings in China.Building Service Engineering Research & Technology, 2017, 0(0):1-21

52.【SCI】Weilin Li,Yiyi Chu,Peng Xu,Yiyi,Zhiwei Yang,Ying Ji,Lizhou Ni,Yi Bao,Kun Wang.A transient model for the thermal inertia of chilled-water systems during demand response.Energy and Buildings, 2017, 150:383-395

51.【SCI】Chao Liu,Sen Huang,Peng Xu,Zhong-ren Peng.Exploring an integrated urban carbon dioxide (CO2) emission model and mitigation plan for new cities.Environment and Planning B:Urban Analytics and City Science, 2017, 0(0):1-21

50.【SCI】Yongbao Chen,Peng Xu,Yiyi Chu,Weilin Li,Yuntao Wu,Lizhou Ni,Yi Bao,Kun Wang.Short-term electrical load forecasting using the Support Vector Regression (SVR) model to calculate the demand response baseline for office buildings.Applied Energy, 2017, 195:659-670

49.【SCI】Weilin Li,Yongbao Chen, Peng Xu, Chirag Joshi & Ferdinand Schmidt.Research on the performance of an adsorption heat pump in winter demand response.Science and Technology for the Built Environment, 2016, 00:1-8

48. 【SCI】Weilin Li, Peng Xu, Huilong Wang, Zhihong Pang.Electricity demand response in China: Status, feasible market schemes and pilots. Energy, 2016, 114:981-994

47. 【SCI】Weilin Li, Peng Xu, Huilong Wang, Xing Lu.A new method for calculating the thermal effects of irregular internalmass in buildings under demand response. Energy and Buildings, 2016, 130:761-772

46. 【SCI】Xing Lu, Peng Xu, Huilong Wang,Tao Yang,Jin Hou.Cooling potential and applications prospects of passive radiative cooling in buildings:The current state-of-the-art. Renewable and Sustainable Energy Reviews, 2016, 65:1079-1097

45. 【SCI】 Ying Ji, Peng Xu, Pengfei Duan, Xing Lu. Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data. Applied Energy, 2016, 169(1):309-323

44. 【SCI】 Huilong Wang, Peng Xu, Xing Lu, Dengkuo Yuan. Methodology of comprehensive building energy performance diagnosis for large commercial buildings at multiple levels. Applied Energy, 2016, 169(1): 14-27

43. 【SCI】Weilin Li, Peng Xu, Feifei Jiao. Optimal Demand Response Strategy of a Portfolio of Multiple Commercial Buildings: Methods and a Case Study. Science & Technology for the Built Environment, 2016,22:655-665

42. 【SCI】Weilin Li, Peng Xu. A fast method to predict the demand response peak load reductions of commercial building. Science & Technology for the Built Environment, 2016,22:633-642

41. 【SCI】 Yangyang Fu, Peng Xu. Data-quality Detection and Recovery for Building Energy Management and Control Systems (EMCSs): Case Study on Submetering. Science & Technology for the Built Environment, 2016,22:798-809

40. 【SCI】 Ying Ji, Peng Xu, Yunyang Ye, Xing Lu, & Jiachen Mao. (2016). Energy load superposition and spatial optimization in urban design: a case study. Computers Environment and Urban Systems, 2016, 57: 26-35

39. 【SCI】 Ying Ji, Peng Xu. A bottom-up and procedural calibration method for building energy simulation models based on hourly electricity submetering data. Energy, 2015, 93:2337-2350

38. 【SCI】 Ye, Yunyang, Peng Xu, Jiachen Mao, Ying Ji. Experimental study on the effectiveness of internal shading devices. Energy & Buildings, 2015, 111(1): 154-163

37. 【SCI】 Liang Zhang, Peng Xu, Jiachen Mao, Xu Tang, Zhengwei Li, Jianguo Shi, A low cost seasonal solar soil heat storage system for greenhouse heating: Design and pilot study, Applied Energy, Volume 156,2015,213-222

36. 【SCI】 Yunyang Ye, Peng Xu, Huajing Sha, Peng Yue, Hua Zhang. ShadingPlus—a fast simulation tool for building shading analysis. Energy Efficiency, 2015.

35. 【SCI】 Peng Xu, Yang Shen, Lu Chen, Jiachen Mao, Eric Chang,Ying Ji, Assessment of energy-saving technologies retrofitted to existing public buildings in China.Energy Efficiency, Volume 08, 2015.

34. 【SCI】 Zhengwei Li, Yanming Han, Peng Xu. Methods for Benchmarking Building Energy Consumption against Its Past or Intended Performance: An Overview.Applied Energy, Volume 124,2014, 325-334.

33. 【SCI】 Ying Ji, Peng Xu, Yunyang Ye. HVAC terminal hourly end-use disaggregation in commercial buildings with Fourier series model. Energy and Buildings, Volume 97, 2015, Pages 33-46.

32. 【SCI】 Xu, P., Fisher, N., Miller, S.L., Using Computational Fluid Dynamics Modeling to Evaluate the Design of Hospital Ultraviolet Germicidal Irradiation Systems for Inactivating Airborne Mycobacteria. Photochemistry and Photobiology, 89(4):792-798, 2013

31. 【SCI】 Peng Xu, Joe Huang, Pengyuan Shen, Xiaowen Ma, Xuefei Gao, Qiaolin Xu,Han Jiang, Yong Xiang. Commercial building energy use in six cities in Southern China. Journal of Energy Policy. Vol. 53, pp. 76-89. 2013

30. 【SCI】 Peng Xu, Tengfang Xu and Pengyuan Shen. Energy and behavioral impacts of integrative retrofits for residential buildings: What is at stake for building energy policy reforms in northern China? Journal of Energy Policy. Vol. 52, pp. 667-676. 2013

29. 【SCI】 Peng Xu, Tengfang Xu, Pengyuan Shen. Advancing evaporative rooftop packaged air conditioning: A new design and performance model development .Applied Thermal Engineering, Volume 40, July 2012, Pages 8-17.

28. 【SCI】 Rongxin Yin, Peng Xu, Study on auto-demand response control and fault proof monitoring commercial buildings in California, Energy and Buildings. Volume 42, Issue 7, July 2010, Pages 967-975 .

27. 【SCI】 Peng Xu, Yu Joe Huang, Norman Miller, Nicole Schlegel, Pengyuan Shen. Impact of climate change on California building heating and cooling energy patterns in California. Journal of Energy. 2012

26. 【EI】 Peng Xu, Jinming Hou and Dengkuo Yuan.Fault Diagnosis for Building Grid-Connected Photovoltaic System Based on Analysis of Energy Loss.Advanced Materials Research. Vols.805-806，pp. 93-98. 2013.

25. 【EI】 Peng Xu, Ying Ji.Load Superposition and Shifting Method with Simulation tools for Energy Planning and the Case Analysis.

24. 【SCI】 Rongxin Yin, Peng Xu, Pengyuan Shen. Case study: Energy savings from solar window film in two commercial buildings in Shanghai. Energy and Buildings, Volume 45, February 2012, Pages 132-140.

23. 【SCI】 Jingran Ma, Joe Qin, Timothy Salabury, Peng Xu. Demand reduction in building energy systems based on economic model predictive control. Journal of Chemical Engineering Science. 2012.

22. Peng Xu, Yu Joe Huang. Monitoring and evaluation of building and heating system energy performance of a residential building district in Tianjin China. Technical report to the World Bank Heat Reform and Building Energy Efficiency Program. Tianjin. 2009.

21. Peng Xu, Leah Zagreus. Demand shifting with thermal mass in light and heavy mass commercial buildings. ASHRAE Transactions. ASHRAE Transaction. Vol. 115, Part I. Louisville. 2009.

20. Rongxin Yin, Peng Xu, Sila Kiliccote, Mary Ann Piette. 2009. Auto-DR and Pre-cooling of Commercial Buildings in Hot Climate Zone. Technical report to Southern California Edision. 2009.

19. Peng Xu, Yu Joe Huang, Norman L. Miller, Nicole J. Schlegel. Effects of global climate change on building energy consumption and its implications on building energy codes and policy in California. Lawrence Berkeley National Laboratory Report to California Energy Commission. 2008.

18. Anthony Radspieler, Peng Xu, Seawater Source Cooling for Air Conditioning Commercial Buildings, Technical report to the California Energy Commission, 2008.

17. Peng Xu, Joe Huang. Measured energy performance of a US-China demonstration energy-efficient commercial building. ASHRAE Transactions. Vol. 113, Part 1. DA-07-007. 2007.

16. Philip Haves, Moosung Kim, Massieh Najafi, Peng Xu. (Authors in alphabetic order). A Semi-automated commissioning tool for VAV air handling units: functional test analyzer. ASHRAE Transactions. Vol. 113, Part 1. DA-07-040. 2007.

15. Peng Xu, Philip Haves. The Building Controls Virtual Test Bed – a Simulation Environment for Developing and Testing Control Algorithms, Strategies and Systems. Proceeding of Building Simulation ’07, Beijing, PR China, September. 2007.

14. Peng Xu, Philip Haves. Case study of demand shifting with thermal mass in two large commercial buildings. ASHRAE Transactions. Vol 112, Part 1. CH-06-07-4. 2006.

13. Mary Ann Piette, David Watson, Nayoya Motegi, Sila Kiliccote, Peng Xu. Automated Critical Peak Pricing Field Tests: Program Description and Results. A technical report to the PG&E and California Institute for Energy and the Environment. Berkeley, CA. LBNL-59351. 2006.

12. Peng Xu, Leah Zeagrus. Demand shifting with thermal mass in light and heavy mass commercial buildings. LBNL report to California Energy Commission. Berkeley, CA.: Lawrence Berkeley National Laboratory. LBNL-61172. 2006.

11. Peng Xu, Philip Haves, Dimitri Curtil. A library of HVAC component models for use in automated diagnostics. Proceedings of SimBuild 2006. Cambridge, MS. IBPSA-USA. 2006.

10. Peng Xu. Evaluation of demand shifting Strategies with thermal mass in two large commercial buildings. Proceedings of SimBuild 2006. Cambridge, MS. IBPSA-USA. 2006.

9. Peng Xu, Philip Haves, and Moosung Kim, Model-based automated functional testing-methodology and application to air handling units. ASHRAE Transactions. Vol 111. OR-05-13-4. 2005.

8. Peng Xu，Shelly Miller, Impact of environmental factors on efficacy of ultraviolet germicidal irradiation. Environmental Science and Technology. Vol. 39; No. 24; pp. 9656. 2005.

7. Peng Xu，Philip Haves, A model reference library for HVAC secondary systems. Proceedings of 13th National Conference on Building Commissioning.New York City, NY. 2005.

6. Peng Xu, Philip Haves, Mary Ann Piette, James Braun, Peak demand reduction from pre-cooling with zone temperature reset of HVAC in an office. Proceedings of 2004 American council for an Energy Efficient Economy (ACEEE). ACEEE summer study on energy efficiency in buildings. Pacific Grove, CA. LBNL-55800. 2004.

5. Peng Xu, Philip Haves, Joe Deringer, A simulation-based testing and training environment for HVAC controls. Proceedings of international building performance simulation association-Simbuild2004. Boulder, CO. IBPSA-USA. LBNL-5580. 2004.

4. Peng Xu, Moosung Kim, and Philip Haves, Field tests of model based component level HVAC fault detection method. LBNL Report to CaliforniaEnergy Commission. Berkeley, CA.: Lawrence Berkeley National Laboratory. 2003.

3. Peng Xu, Philip Haves, Field testing of component-level model-based faults detection methods for HVAC mixing boxes and VAV fan systems. Proceedings of 2002 American council for an Energy Efficient

2. Peng Xu, Moosung Kim and Philip Haves, Software Toolbox for HVAC Component-Level Model-Based Fault Detection and Diagnosis Methods. LBNL report to California energy commission. Berkeley, CA.: Lawrence Berkeley National Laboratory. 2002.

1. Peng Xu and Philip Haves, Library of component reference models for fault detection (AHU and chiller). LBNL report to California energy commission. Berkeley, CA.: Lawrence Berkeley National Lab. 2001.

平等声明：许鹏教授笃信机会平等之理念，人人平等之价值观。对于所有报考我的硕士生，博士生，无论家庭背景、社会关系、民族、党派、性别、国籍、城市地域、婚姻状况、健康与残疾、毕业学校、年龄、专业背景都将一视同仁，给予平等竞争的机会，做公正录取。