姓名：许鹏
性别：男
职称：教授
职务：无
研究方向：建筑节能及故障诊断技术、新能源利用、智能电网、低碳技术
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
电子邮件：xupeng@tongji.edu.cn
网址：http://a434.tongji.edu.cn/ （许鹏教授课题组网站）
教育背景：
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硕士；
1997年至2001年，美国科罗拉多大学，土木机械系获博士学位
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，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。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。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。许鹏在中国，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。回到同济大学后，负责了建设部和上海市科委的多个研究项目，在建筑和社区碳排放计算和能源规划方面拥有一定建树。
在研项目 ：
2011年~2013年，小型太阳能光伏发电设施实时监控和故障诊断系统，上海市科委；
2011年~2012年，中国低碳建筑技术的应用研究(编号2010DFB73870-03)，科技部
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：
[1]Yunyang Ye, Peng Xu, Jiachen Mao, Ying Ji. Experimental study on the effectiveness of internal shading devices. Energy and Buildings 111 (2016) 154–163.
[2]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
[3]Yunyang Ye, Peng Xu, Huajing Sha, Peng Yue, Hua Zhang. ShadingPlus—a fast simulation tool for building shading analysis. Energy Efficiency, 2015.
[4]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.
[5]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.
[6] 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.
[7] 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
[8] 许鹏. 智能电网和电力需求响应在建筑中的应用—美国加州的大规模实践.
[9]许鹏,姬颖,李为林. 上海市长宁区建筑节能改造管理机制：上海市长宁区社区项目节能效果评估办法.2012年11月29日
[10]侯金明,许鹏. 基于四参数模型的光伏阵列Matlab/Simulink仿真模型. 可再生能源. 2013年6期
[11] 侯金明,许鹏. 正常光照条件下全工况光伏阵列通用Matlab/Simulink仿真模型. 太阳能. 2013年11期
[12]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
[13] 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
[14] 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.
[15] 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.
[16] 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.
[17]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
[18]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 .
[19] 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.
[20]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.
[21]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.
[22] 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.
[23]Anthony Radspieler, Peng Xu, Seawater Source Cooling for Air Conditioning Commercial Buildings, Technical report to the California Energy Commission, 2008. [24]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.
[25] 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.
[26]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.
[27]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.
[28] 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.
[29]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.
[30]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.
[31]Peng Xu. Evaluation of demand shifting Strategies with thermal mass in two large commercial buildings. Proceedings of SimBuild 2006. Cambridge, MS. IBPSA-USA. 2006.
[32]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.
[33] 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.
[34]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.
[35]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. [36] 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.
[37]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.
[38]Peng Xu, Jordan Peccia, Patricia Fabian, Mark Hernandez, and Shelly L. Miller, Inactivation of bacteria and mycobacteria using ultraviolet germicidal irradiation of upper-room air. Journal of Atmospheric Environment. Vol. 37, Part 3, 405-419. 2003.
[39] Peng Xu, Moosung Kim, and Philip Haves, An automated HVAC functional test and fault detection method. LBNL Report to California EnergyCommission. Berkeley, CA.: Lawrence Berkeley National Laboratory. 2003.
[40]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 Economy. ACEEE summer study on energy efficiency in buildings. Pacific Grove, CA. 2002.
[41]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.
[42]Vladimir Bazjanac, James Forester, Philip Haves, Darko Sucic, and Peng Xu, HVAC component data modeling using industry foundation classes. Proceedings of system simulation in buildings. Liege, Belgium. 2002.
[43]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.
