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陈毅兴

发布于:2018-09-21 星期五 11:37:28 点击数:10245

陈毅兴教授是湖南大学土木工程学院教授、博士生导师。他目前致力于研究城市能耗系统模拟,包括城市三维数据模型,城市能耗数据分析,和城市建筑能耗模拟与节能潜力分析。同时,他还参与了人行为对室内环境和建筑能耗的影响的研究。他参与开发了多个能耗模拟的工具,用于分析建筑逐时电耗特征分析,建筑节能改造分析等方面。目前陈教授正在积极组建团队,今后将结合建筑技术和计算机技术,将模拟分析、人工智能、机器学习、大数据分析等先进技术应用到建筑节能领域。欢迎广大本科生、硕士、博士、以及博士后加入团队。

基本信息


   

陈毅兴

政治面貌

中共党员

学  位

博士

职  称教授、博士生导师

人才计划

2018年入选国家级青年人才计划(四青人才)

研究领域

城市能源系统仿真

建筑节能改造与优化控制分析

建筑中人行为对能耗的影响

仿真平台整体搭建、开发与应用

能耗模拟软件EnergyPlusOpenStudio的开发与应用

通讯地址

湖南省长沙市岳麓区湖南大学土木工程学院,410082

  

yixingchen@hnu.edu.cn;ychen93@syr.edu

教育背景

2010.08 – 2013.12,美国雪城大学 (Syracuse University) 机械工程专业,获哲学博士学位

2008.08 – 2011.04,新加坡国立大学建筑科学系,获硕士学位

2004.08 – 2008-06 清华大学建筑环境与设备工程专业,获学士学位

工作履历

2018.09 – 至今,湖南大学土木工程学院教授、博士生导师

2016.02 – 2018-08,美国劳伦斯伯克利国家实验室高级研究员

2013.09 – 2016.01,美国劳伦斯伯克利国家实验室博士后研究员

2009.05 – 2010.01,新加坡盛裕控股集团绿色建筑建筑设计咨询

学术兼职

  • SCI期刊《Sustainability》编委(2018年影响因子:2.592)

  • SCI期刊《Building Simulation》编辑(2018年影响因子:2.238)

  • EI期刊《Energy Engineering》编委

  • Springer杂志社期刊《Energy Informatics》编委

  • MDPI杂志社期刊《Sci》Advisory Board成员

  • 国家留学基金委评审专家

  • 国际建筑能效模拟委员会(IBPSA)会员

  • 全国暖通空调学会模拟专委会 委员

  • 全国暖通空调学会计算机模拟专业委员会(暨IBPSA-China)委员

  • 中国城市科学研究会 绿色建筑与节能委员会 会员

  • 美国采暖、制冷与空调工程师学会 (ASHRAE) 会员

  • 国际室内空气品质与气候学会(ISIAQ)会员

  • 湖南省制冷学会 理事

  • Applied Energy, Energy and Buildings, Building and Environment, Building Simulation, Journal of Building Performance Simulation, Journal of Building Engineering, Indoor and Built Environment, HVAC&R Research, Sustainability, Sustainable Cities and Society, Renewable and Sustainable Energy Reviews, Energy Efficiency, Journal of Cleaner Production, Applied Mathematical Modelling, IEEE Sensors Journal, and Simulation Modelling Practice and Theory等期刊审稿人。

  • 国际会议IEEE SmartGridComm 2018的技术委员会委员(TPC Members),协助Smarter Buildings in Smarter Utility Grids Workshop

  • 国际会议Healthy Buildings 2019 Asia的组织者之一(Organizing Committee),组织 Urban Building Environment and Energy Modeling Workshop

  • 国际会议Building Simulation 2021的技术委员会委员(Technical Program Committee,TPC)

研究领域

主要从事如下方面的研究。欢迎建筑环境与能源应用工程(暖通空调)、计算机科学与技术、建筑学、城市规划与设计、建筑技术科学等专业的学生加入科研团队。

1.     城市能源系统研究

2.     建筑节能改造分析

3.     建筑中人行为的模拟研究

4.     建筑模拟平台的研究、开发与应用

科研项目


国际合作项目

(1)国际能源署Annex 75项目:建筑群节能改造和可再生能源利用的经济效益,共同负责两个子课题(WPC4和WPB2)

(2)国际能源署Annex 79项目:以人为本的建筑设计与控制方法,课题3主要贡献者之一

(3)国际能源署Annex 66项目:定义和模拟建筑中的人行为,课题D主要贡献者之一


作为CO-I或主要完成人完成的科研项目:

(1) 美国能源部项目,BayREN: Integrated Commercial Retrofits (BRICR)

(2) 美国能源部项目,Small Business Vouchers Pilot –Lucid Design Group –Integrated BPD and CBES into Lucid’s Building OS platform

(3) 美国劳伦斯伯克利国家实验室LDRD项目,URBan Integrated System (URBIS) – A Data and Computing Platform for Urban Systems

(4) 美国能源部项目,Crowdsourcing Open City Datasets to Support Climate Action in the Building Sector

(5) 美国能源部项目,OpenStudio Models for Prototype Buildings

(6) 美国能源部项目,IEA-EBC Annex 66

(7) 美国能源部项目,Small Commercial Toolkit for 2030 Districts

(8) 美国加州能源局项目,Small and Medium Building Efficiency Toolkit and Community Demonstration Program

(9) 美国能源部项目,OpenStudio Low Energy Measures


学术成果

在城市建筑群能耗模拟与分析,建筑节能改造分析,以及建筑中人行为的模拟研究等方面取得了重要学术和研究成果。主导开发了多款软件平台来帮助提高建筑的能效,拥有8项软件著作权。在美国劳伦斯伯克利国家实验室作为主要负责人,完成了十多项由美国能源部和加州能源局资助的项目,总金额超过600万美元。其开发的平台,有的已经被企业商业化应用。

SCI论文如下:

  1. Y. Chen, C. Yang, X. Pan, D. Yan. Design and Operation Optimization of Multi-Chiller Plants Based on Energy Performance Simulation. Energy and Buildings, Accepted for publication, 2020-04-25. 

  2. T. Hong, Y. Chen, X. Luo, N. Luo, S.H. Lee. Ten questions on urban building energy modeling. Building and Environment, 2020, 168. DOI: 10.1016/j.buildenv.2019.106508

  3. M. Ferrando, F. Causone, T. Hong, Y. Chen.  Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approaches. Sustainable Cities and Society, 2020, Accepted for publication, 2020-07-16.

  4. Y. Chen, T. Hong, X. Luo, B. Hopper. Development of city buildings dataset for urban building energy modeling. Energy and Buildings, 2019, 183: 252-265. DOI: 10.1016/j.enbuild.2018.11.008

  5. Y. Chen, T. Hong. Impacts of Building Geometry Modeling Methods on the Simulation Results of Urban Building Energy Models. Applied Energy, 2018, 215:717-735, DOI: 10.1016/j.apenergy.2018.02.073.

  6. Y. Chen, T. Hong, X. Luo. An Agent-Based Stochastic Occupancy Simulator. Building Simulation, 2018, 11(1):37-49, DOI: 10.1007/s12273-017-0379-7

  7. T. Hong, Y. Chen, Z. Belafi, S. D’Oca. Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs. Building Simulation, 2018, 11(1): 1-14, DOI: 10.1007/s12273-017-0396-6

  8. Y. Chen, T. Hong, M.A. Piette. Automatic Generation and Simulation of Urban Building Energy Models Based on City Datasets for City-Scale Building Retrofit Analysis, Applied Energy, 2017, 205: 323-335, DOI: 10.1016/j.apenergy.2017.07.128

  9. Y. Chen, T. Hong, X. Luo. Simulation and visualization of energy-related occupant behavior in office buildings. Building Simulation, 2017, 10(6):785-798, DOI: 10.1007/s12273-017-0355-2

  10. X. Luo, T. Hong, Y. Chen, M.A. Piette. Electric Load Shape Benchmarking for Small and Medium-sized Commercial Buildings, Applied Energy, 2017, 204: 715-725. DOI: 10.1016/j.apenergy.2017.07.108

  11. X. Luo, K.P. Lam, Y. Chen, T. Hong. Performance evaluation of an agent-based occupancy simulation model. Building and Environment, 2017, 115: 42-53. DOI: 10.1016/j.buildenv.2017.01.015

  12. Y. Chen, B. Raphael, S.C. Sekhar. Experimental and simulated energy performance of a personalized ventilation system with individual airflow control in a hot and humid climate. Building and Environment, 2016, 96:283-292, DOI: 10.1016/j.buildenv.2015.11.036

  13. T. Hong, H. Sun, Y. Chen, S.C. Taylor-Lange, D. Yan. An Occupant Behavior Modeling Tool for Co-Simulation. Energy and Buildings, 2016, 117: 272-281. DOI: 10.1016/j.enbuild.2015.10.033

  14. Y. Chen, L. Gu, JS. Zhang. EnergyPlus and CHAMPS-Multizone Co-Simulation for Energy and Indoor Air Quality Analysis. Building Simulation, 2015, 8(4):371-380, DOI: 10.1007/s12273-015-0211-1

  15. T. Hong, M.A. Piette, Y. Chen, et al. Commercial building energy saver: an energy retrofit analysis toolkit. Applied Energy, 2015, 159:298-309. DOI: 10.1016/j.apenergy.2015.09.002

  16. T. Hong, S. D’Oca, S.C. Taylor-Lange, W. Turner, Y. Chen, S.P. Corgnati. An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema. Building and Environment, 2015, 94:196-205. DOI: 10.1016/j.buildenv.2015.08.006

  17. S.H. Lee, T. Hong, M.A. Piette, G. Sawaya, Y. Chen, S.C. Taylor-Lange. Accelerating the energy retrofit of commercial buildings using a database of energy efficiency performance. Energy, 2015, 90:738-747. DOI: 10.1016/j.energy.2015.07.107

  18. M. Pelken, JS. Zhang, Y. Chen. “Virtual Design Studio”—Part 1: Interdisciplinary design processes. Building Simulation, 2013, 6:235-251. DOI: 10.1007/s12273-013-0110-2

  19. JS. Zhang, M. Pelken, Y. Chen. “Virtual Design Studio”—Part 2: Introduction to overall and software framework. Building Simulation, 2013, 6:253-268. DOI: 10.1007/s12273-013-0111-1

  20. Y. Chen, B. Raphael, S.C. Sekhar. Individual Control Of A Personalized Ventilation System Integrated With An Ambient Mixing Ventilation System. HVAC&R Research, 2012, 18(6):1136-1152

  21. N.H. Wong, S.K. Jusuf, N.I. Syafii, Y. Chen et al. Evaluation Of The Impact Of The Surrounding Urban Morphology On Building Energy Consumption. Solar Energy, 2011, 85, p. 57-71. DOI: 10.1016/j.solener.2010.11.002


中文期刊论文如下:

  1. 孙红三,王闯,丰晓航,燕达,洪天真,陈毅兴。基于协同仿真的人行为能耗模拟方法。暖通空调,2016年第46卷第11期62-67页


国际会议论文如下:

  1. Y. Chen, T. Hong (2019). Automatic and Rapid Calibration of Urban Building Energy Models. Building Simulation 2019, 2-4 September 2019, Rome, Italy.

  2. Y. Chen, T. Hong (2018). A Novel Method of Automatic and Rapid Calibration of Urban Building Energy Models. ASim 2018, 3-5 December 2018, Hong Kong, China

  3. Y. Chen, T. Hong, M.A. Piette (2017). City-Scale Building Retrofit Analysis: A Case Study using CityBES. Building Simulation 2017, August 7-9 2017, San Francisco, California, USA.

  4. Y. Chen, Xuan Luo, Tianzhen Hong (2016). An Agent-Based Occupancy Simulator for Building Performance Simulation. 2016 ASHRAE Annual Conference, 25 June 2016, St. Louis, MO, USA

  5. Y. Chen, L. Gu, et al. (2014). EnergyPlus and CHAMPS-Multizone Co-Simulation for Energy and Indoor Air Quality Analysis. Indoor Air 2014, 7 July – 12 July 2014, Hong Kong, p69-76. (EI)

  6. Y. Chen, J. Zhang, M. Pelken, et al. (2012). “VIRTUAL DESIGN STUDIO”--Part 3: A Green Building Case Study. CHAMPS 2012, 1-3 June 2012, Tokyo, Japan.

  7. Y. Chen, B. Raphael, C. Sekhar, K.W. Tham (2010). Energy Performance of Personalized Ventilation. 10th REHVA World Congress, 9 May – 12 May 2010, Antalya, Turkey

  8. Y. Chen, C. Sekhar, et al. (2010). Personalized Ventilation Control: Perception of Indoor Air Quality. 10th REHVA World Congress, 9 May – 12 May 2010, Antalya, Turkey

  9. C. Yang, Y. Chen*, N. Li, Y. Sun, R. Wu (2019). EnergyPlus and Python Co-Simulation Model to Support Machine Learning-Based Control of Ground Source Heat Pump System. ISHVAC 2019, 12-15 July, Harbin, China.

  10. B. Hooper, T. Hong, D. Macumber, S.H. Lee, Y. Chen, et al. (2018). The BayREN Integrated Commercial Retrofits (BRICR) Project: An Introduction and Preliminary Results. ACEEE Summer Study on Energy Efficiency in Buildings, 12-17 August 2018, Pacific Grove, California, USA

  11. T. Hong, Y. Chen, et al. (2018). Modeling City Building Stock for Large-Scale Energy Efficiency Improvements using CityBES. ACEEE Summer Study on Energy Efficiency in Buildings, 12-17 August 2018, Pacific Grove, California, USA

  12. T. Hong, Y. Chen, et al. (2016). CityBES: A Web-based Platform to Support City-Scale Building Energy Efficiency. UrbComp 2016, 14 August 2016, San Francisco, California, USA

  13. T. Hong, Y. Chen, et al. (2015). Commercial building energy saver: an energy retrofit analysis toolkit. ISHVAC – COBEE, 12-15 July 2015, Tianjin, China.

  14. S.H. Lee, T. Hong, G. Sawaya, Y. Chen, M.A. Piette (2015). DEEP: A Database of Energy Efficiency Performance to Accelerate Energy Retrofitting of Commercial Buildings. ASHRAE Winter Conference 2015, Chicago.

  15. Z. Meng, M. Pelken, J. Zhang, D. Rice, Y. Chen et al. (2014). "Magic Cube": An integrated and coordinated process for performance-based building design. Indoor Air 2014, 7 July – 12 July 2014, Hong Kong, p530-537. (EI)

  16. M. Pelken, J. Zhang, Y. Chen, et al. (2012). “Virtual design studio”-- part 1: facilitating input, process and output patterns”. CHAMPS 2012, 1-3 June 2012, Tokyo, Japan.

  17. J. Zhang, M. Pelken, Y. Chen, et al. (2012). “VIRTUAL DESIGN STUDIO”: PART 2 SYSTEMS INTEGRATION UPDATE. CHAMPS 2012, 1-3 June 2012, Tokyo, Japan.

  18. M. Pelken, J. Zhang, W. Feng, Y. Chen, et al. (2011). “VIRTUAL DESIGN STUDIO”-- Part 1: Design Processes. CHAMPS 2011, 20-22 March 2011, Nanjing, China.

  19.  J. Zhang, M. Pelken, W. Feng, Y. Chen, et al. (2011). “VIRTUAL DESIGN STUDIO”--Part 2: Platform Design. CHAMPS 2011, 20-22 March 2011, Nanjing, China.

  20. B. Raphael, Y. Chen, et al. (2010), "Towards Intelligent Building Systems: Evaluating User Acceptance of Automatic Control". ICCCBE 2010, 30 Jun – 2 Jul 2010, Nottingham, United Kingdom


中文会议论文如下:

  1. 陈毅兴,张晓亮,燕达,王闯,陈权,夏建军,石文星,李先庭,江亿,入谷阳一郎,上田宪治. 冷冻站设备选型及运行策略对运行能耗的影响分析. 16届全国暖通空调年会,重庆,20085月。 

奖励与荣誉

  • 2019年获“天职英才基金”“青矩学者”奖励

  • 2018年获湖南大学 “岳麓学者计划” (晨星A岗)

  • 2017年获美国劳伦斯伯克利国家实验杰出贡献奖(outstanding performance)

  • 2013年获美国雪城大学优秀博士毕业生称号

  • 2005-2006学年获清华大学优秀学生干部称号