陈毅兴，中共党员，教授、博士生导师。2018年入选国家级青年人才计划（四青人才）。

研究领域：

1.城市建筑群能耗模拟（UBEM）：城市大数据与UBEM，UBEM建模与校准，建筑群的节能技术分析

2.建筑能耗模拟：不同气候区的节能技术分析，控制策略对设备选型的影响，典型能耗模型与快速建模

3.建筑人行为：智能监测与预测建模，营造低碳与舒适环境，以人为本的优化控制

4.建筑人工智能：数据驱动与时序预测，街景图像与城市品质，强化学习与优化控制，无人机与BIM

Emai：yixingchen@hnu.edu.cn

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

2010.08—2013.12，美国锡拉丘兹大学(Syracuse University，雪城大学)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

国内项目：

[1]国家级青年人才项目，2019.

[2]湖南大学科研启动项目，基于全建筑能耗模拟的城市能源系统仿真研究，2018.9-2027.2

[3]国家自然科学基金委员会，青年基金项目，2020.01-2022.12，基于GIS数据的中国城市建筑群能耗模型自动生成方法。

[4]湖南省自然科学基金，优秀青年基金项目，2020.01-2022.12。

[5]湖南大学2022年本科规划教材建设项目，《建筑环境人工智能》教材建设，2022.01-2023.12.

[6]湖南大学土木工程学院2022年本科教育教学改革项目，《建筑环境人工智能》课程建设项目，2022.01-2023.12.

[7]湖南大学土木工程学院2022年本科教育教学改革项目，《智能建造总论》课程建设项目，2022.01-2023.12.

[8]湖南省教育厅科学研究项目重点项目，以人为中心的节能舒适智能室内环境营造及平台搭建，2024.01-2025.12.

[9]湖南省学位与研究生教学改革研究项目重点项目，建筑碳中和与人工智能交叉领域创新与实践型复合人才培养的实践与探索，2024.01-2026.12.

[10]国家自然科学基金委员会，面上基金项目，2025.01-2028.12。

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

美国期间作为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

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，拥有十多项软件著作权。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

共71篇，11篇高被引论文（绿色），Chicago Manual of Style 17th edition (author-date)

Web of Science总被引超3500次，H-index为28（2025-11-29）；

Google Scholar总被引超5700次，H-index为33（2025-11-29）；

荣获Building Simulation期刊2022年最佳论文奖。

[1]“Uncovering Biases in Standard Occupancy Assumptions Using Urban-Scale Mobile Signaling Data.”Building and Environment.

[2]Wu, Chengjin, Chengcheng Song, Fangyu Liu, Anni Xu, and Yixing Chen*. 2026.“A Comparative Analysis of Prototype and Building-by-Building Methods for Urban Building Energy Modeling in a Hot-Summer and Warm-Winter Climate Zone.”Energy and Buildings 352 (February): 116788.https://doi.org/10.1016/j.enbuild.2025.116788.

[3]Zeng, Kejun, Yue Yuan, Liying Gao, and Yixing Chen*. 2025.“Occupant-Centric Control of Split Air Conditioners, Personal Desktop Fans and Lights Based on Wi-Fi Probe Technology.”Buildings 15 (23): 4285.https://doi.org/10.3390/buildings15234285.

[4]Zhang, Qilin, Yue Yuan, Zhiyuan Wang, Xiangrui Wang, and Yixing Chen. 2025.“Enhance Data-Driven Models for Chiller Plants by Integrating Empirical Knowledge.”Journal of Building Engineering 111 (October): 113475.https://doi.org/10.1016/j.jobe.2025.113475.

[5]Chong, Adrian, Da Yan, Kaiyu Sun, Sicheng Zhan, Siyu Cheng, Yi Wu, Yixing Chen, and Tianzhen Hong. 2025.“Ten Questions Concerning Calibrating Building Energy Simulation Models.”Building and Environment 284 (October): 113404.https://doi.org/10.1016/j.buildenv.2025.113404.

[6]Song, Chengcheng, and Yixing Chen*. 2025.“Energy-Saving Potential of Cool Roofs at the Urban Scale: A Case Study of Xiamen City.”Energy and Buildings 344 (October):116034.https://doi.org/10.1016/j.enbuild.2025.116034.

[7]Wang, Xiangrui, Qilin Zhang, Zhihua Chen, Jingjing Yang, and Yixing Chen*. 2025.“Development of Chiller Plant Models in OpenAI Gym Environment for Evaluating Reinforcement Learning Algorithms.”Energies 18 (9): 2225.https://doi.org/10.3390/en18092225.

[8]Yang, Yu, Mingzhu Ma, Feixiong Li, Wenxuan Zhao, Rongpeng Zhang*, and Yixing Chen*. 2025.“Comprehensive Reliability Evaluation and Enhancement of Distributed Energy Systems: Unlocking Risk-Resistant Potential of Building Virtual Thermal Storage with Uncertainty in Renewable Resources and Equipment Failures.”Journal of Building Engineering 106 (July):112568.https://doi.org/10.1016/j.jobe.2025.112568.

[9]Deng, Zhang, Xiaoli Hao, Wei Yin, Shaobo Zhang, and Yixing Chen*. 2025.“Quantification of Energy Flexibility Potential in Commercial Buildings for Demand Response across Various Climate Zones in China.”Journal of Building Engineering 105 (July):112595.https://doi.org/10.1016/j.jobe.2025.112595.

[10]Xu, Anni, Chengcheng Song, Wenxian Zhao, and Yixing Chen*. 2025.“Demand Flexibility of Pre-Cooling Strategies for City-Scale Buildings Through Urban Building Energy Modeling.”Buildings 15 (7): 1051.https://doi.org/10.3390/buildings15071051.

[11]Wang, Wenjie, Jingyu Cao, Shaodi Tang, Jinqing Peng, Yixing Chen, Mingke Hu, Qiliang Wang, Gang Pei, and Jie Ji. 2025.“Preliminary Characterization of Three-Source Air Conditioning Integrating Radiative Sky Cooling and Direct Evaporative Cooling.”Energy 316 (January): 134403.https://doi.org/10.1016/j.energy.2025.134403.

[12]Yuan, Yue, Chengcheng Song, Kejun Zeng, Liying Gao, Yu Huang, and Yixing Chen*. 2025.“An Occupant-Centric Control Case Study Based on Internet of Things and Data Mining for an Office Space.”Journal of Building Engineering 101 (January): 111925.https://doi.org/10.1016/j.jobe.2025.111925.

[13]Yang, Jingjing, Zhiyuan Wang, Guangchen Li, Chengjin Wu, Fangyu Liu, and Yixing Chen*. 2025.“AutoBPS-Carbon: A Tool to Estimate Multi-Year Dynamic Embodied and Operational Carbon Emissions in the Building Sector.”Journal of Building Engineering 101 (October 2024): 111942.https://doi.org/10.1016/j.jobe.2025.111942.

[14]Liu, Sai, Farid E Mohamed Ghazali, Jingjing Yang, Zongkang Guo, Kejun Zeng, and Yixing Chen*. 2024.“Retrofit Analysis of Exterior Windows for Large Office Buildings in Different Climate Zones of China.”Buildings 14 (12): 3904.https://doi.org/10.3390/buildings14123904.

[15]Song, Chengcheng, Jingjing Yang, Zhiyuan Wang, Ruoheng Li, Xiufeng Pang, and Yixing Chen*. 2025.“CityEL: A Web-Based Platform to Support City-Scale Building Energy Efficiency Based on AutoBPS.”Sustainable Cities and Society 120 (February):106147.https://doi.org/10.1016/j.scs.2025.106147.

[16]Gao, Liying, Yue Yuan, Lin Xiao, Wenqi Li, Jianrui Qin, Jihe Wu, and Yixing Chen*. 2025.“Occupant-Based Control of Lighting System for Multi-Person Office Rooms Based on WiFi Probe Technology.”Building and Environment 269 (August 2024): 112421.https://doi.org/10.1016/j.buildenv.2024.112421.

[17]Wang, Dan, Wanfu Zheng, Siqi Li, Yixing Chen, Xiaorui Lin, and Zhe Wang*. 2025.“Impact Analysis of Uncertainty in Thermal Resistor-Capacitor Models on Model Predictive Control Performance.”Energy & Buildings 328 (September 2024): 115112.https://doi.org/10.1016/j.enbuild.2024.115112.

[18]Guo, Haojie, Zhihua Chen, Xi Chen, Jingjing Yang, Chengcheng Song, and Yixing Chen*. 2025.“UAV-BIM-BEM: An Automatic Unmanned Aerial Vehicles-Based Building Energy Model Generation Platform.”Energy and Buildings 328 (November 2024): 115120.https://doi.org/10.1016/j.enbuild.2024.115120.

[19]Wang, Zhiyuan, Jingjing Yang, Guangchen Li, Chengjin Wu, Rongpeng Zhang*, and Yixing Chen*. 2025.“Development of Rooftop Photovoltaic Models to Support Urban Building Energy Modeling.”Applied Energy 378 (PA): 124811.https://doi.org/10.1016/j.apenergy.2024.124811.

[20]Li, Guangchen, Jingjing Yang, Jiapeng Guo, Zhiyuan Wang, Zhang Deng, Jianli Chen, and Yixing Chen*. 2024.“Hybrid Building Energy Modeling Method with Parameterized Prototype Models and Rapid Calibration.”Energy and Buildings 325 (August): 114948.https://doi.org/10.1016/j.enbuild.2024.114948.

[21]Jiang, Gang, Yixing Chen, Zhe Wang, Kody Powell, Blake Billings, and Jianli Chen*. 2024.“A Deep Learning-Based Bayesian Framework for High-Resolution Calibration of Building Energy Models.”Energy and Buildings 323 (August): 114755.https://doi.org/10.1016/j.enbuild.2024.114755.

[22]Gao, Liying, Xingchao Xiang, Wenjian Chen, Riqin Nong, Qilin Zhang, Xuan Chen, and Yixing Chen*. 2024.“Research on Urban Street Spatial Quality Based on Street View Image Segmentation.”Sustainability 16 (16): 7184.https://doi.org/10.3390/su16167184.

[23]Yue Yuan, Chengcheng Song, Liying Gao, Kejun Zeng, Yixing Chen*. A Review of Current Research on Occupant-centric Control for Improving Comfort and Energy Efficiency. Building Simulation, 2024.https://doi.org/10.1007/s12273-024-1170-1

[24]Zhi Sun, Yan Gao, Jingjing Yang, Yixing Chen*, Brian H.W. Guo*. Development of urban building energy models for Wellington city in New Zealand with detailed survey data on envelope thermal characteristics. Energy and Buildings, 2024,114647.https://doi.org/10.1016/j.enbuild.2024.114647

[25]Song, Chengcheng, Zhang Deng, Wenxian Zhao, Yue Yuan, Mengyue Liu, Shen Xu, and Yixing Chen*. 2024. “Developing Urban Building Energy Models for Shanghai City with Multi-Source Open Data.” Sustainable Cities and Society 106 (April): 105425.https://doi.org/10.1016/j.scs.2024.105425.

[26]Zhang, Yiqi, Fumin Tao, Baoqi Qiu, Xiuming Li, Yixing Chen, and Zongwei Han. 2024. “Interpretable Data-Driven Fault Diagnosis Method for Data Centers with Composite Air Conditioning System.” Building Simulation 17 (6): 965–81.https://doi.org/10.1007/s12273-024-1124-7.

[27]Zhao, Wenxian, Zhang Deng, Yanfei Ji, Chengcheng Song, Yue Yuan, Zhiyuan Wang, and Yixing Chen*. 2024. “Analysis of Peak Demand Reduction and Energy Saving in a Mixed-Use Community through Urban Building Energy Modeling.” Energies 17 (5): 1214.https://doi.org/10.3390/en17051214.

[28]Yang, Jingjing, Qilin Zhang, Chenyang Peng, and Yixing Chen*. 2024. “AutoBPS-Prototype: A Web-Based Toolkit to Automatically Generate Prototype Building Energy Models with Customizable Efficiency Values in China.” Energy and Buildings 305 (September 2023): 113880.https://doi.org/10.1016/j.enbuild.2023.113880.

[29]Xi, Hongyan, Qilin Zhang, Zhiyi Ren, Guangchen Li, and Yixing Chen*. 2023. “Urban Building Energy Modeling with Parameterized Geometry and Detailed Thermal Zones for Complex Building Types.” Buildings 13 (11): 2675.https://doi.org/10.3390/buildings13112675.

[30]Yuan, Yue, Liying Gao, Kejun Zeng, and Yixing Chen*. 2023. “Space-Level Air Conditioner Electricity Consumption and Occupant Behavior Analysis on a University Campus.” Energy and Buildings 300 (October): 113646.https://doi.org/10.1016/j.enbuild.2023.113646.

[31]Ren, Zhiyi, Yixing Chen*, Chengcheng Song, Mengyue Liu, Anni Xu, and Qilin Zhang. 2024. “Economic Analysis of Rooftop Photovoltaics System under Different Shadowing Conditions for 20 Cities in China.” Building Simulation 17 (2): 235–52.https://doi.org/10.1007/s12273-023-1082-5.

[32]Su, Fanghan, Zhiyuan Wang, Yue Yuan, Chengcheng Song, Kejun Zeng, Yixing Chen*, and Rongpeng Zhang. 2023. “Enhanced Operation of Ice Storage System for Peak Load Management in Shopping Malls across Diverse Climate Zones.” Sustainability 15 (20): 14759.https://doi.org/10.3390/su152014759.

[33]Ji, Yanfei, Guangchen Li, Fanghan Su, Yixing Chen*, and Rongpeng Zhang. 2023. “Retrofit Analysis of City-Scale Residential Buildings in the Hot Summer and Cold Winter Climate Zone.” Energies 16 (17): 6152.https://doi.org/10.3390/en16176152.

[34]Chen, Yixing*, Zhiyi Ren, Zhiwen Peng, Jingjing Yang, Zhihua Chen, and Zhang Deng. 2023. “Impacts of Climate Change and Building Energy Efficiency Improvement on City-Scale Building Energy Consumption.” Journal of Building Engineering 78 (November):107646.https://doi.org/10.1016/j.jobe.2023.107646.

[35]Peng, Chenyang, Zhihua Chen, Jingjing Yang, Zhaoru Liu, Da Yan, and Yixing Chen*. 2023. “Assessment of Electricity Consumption Reduction Potential for City-Scale Buildings under Different Demand Response Strategies.” Energy and Buildings 297 (October):113473.https://doi.org/10.1016/j.enbuild.2023.113473.

[36]Deng, Zhang, Kavan Javanroodi, Vahid M. Nik, and Yixing Chen*. 2023. “Using Urban Building Energy Modeling to Quantify the Energy Performance of Residential Buildings under Climate Change.” Building Simulation 16 (9): 1629–43.https://doi.org/10.1007/s12273-023-1032-2.

[37]Chen, Yixing*, Wanlei Wei, Chengcheng Song, Zhiyi Ren, and Zhang Deng. 2023. “Rapid Building Energy Modeling Using Prototype Model and Automatic Model Calibration for Retrofit Analysis with Uncertainty.” Buildings 13 (6): 1427.https://doi.org/10.3390/buildings13061427.

[38]Chen, Zhihua, Zhang Deng, Adrian Chong, and Yixing Chen*. 2023. “AutoBPS-BIM: A Toolkit to Transfer BIM to BEM for Load Calculation and Chiller Design Optimization.” Building Simulation 16 (7): 1287–98.https://doi.org/10.1007/s12273-023-1006-4.

[39]Yuan, Yue, Zhihua Chen, Zhe Wang, Yifu Sun, and Yixing Chen*. 2023. “Attention Mechanism-Based Transfer Learning Model for Day-Ahead Energy Demand Forecasting of Shopping Mall Buildings.” Energy 270 (May):126878.https://doi.org/10.1016/j.energy.2023.126878.

[40]Deng, Zhang, Yixing Chen*, Jingjing Yang, and Francesco Causone. 2023. “AutoBPS: A Tool for Urban Building Energy Modeling to Support Energy Efficiency Improvement at City-Scale.” Energy and Buildings 282 (March):112794.https://doi.org/10.1016/j.enbuild.2023.112794.

[41]Chen, Yixing*, Qilin Zhang, Zhang Deng, Xinran Fan, Zimu Xu, Xudong Kang, Kailing Pan, and Zihao Guo. 2022. “Research on Green View Index of Urban Roads Based on Street View Image Recognition: A Case Study of Changsha Downtown Areas.” Sustainability 14 (23): 16063.https://doi.org/10.3390/su142316063.

[42]Yang, Jingjing, Zhang Deng, Siyue Guo, and Yixing Chen*. 2023. “Development of Bottom-up Model to Estimate Dynamic Carbon Emission for City-Scale Buildings.” Applied Energy 331 (February):120410.https://doi.org/10.1016/j.apenergy.2022.120410.

[43]He, Yaling, Yixing Chen*, Zhihua Chen, Zhang Deng, and Yue Yuan. 2022. “Impacts of Occupant Behavior on Building Energy Consumption and Energy Savings Analysis of Upgrading ASHRAE 90.1 Energy Efficiency Standards.” Buildings 12 (8): 1108.https://doi.org/10.3390/buildings12081108.

[44]Yan, Da, Xin Zhou, Jingjing An, Xuyuan Kang, Fan Bu, Youming Chen, Yiqun Pan, et al. 2022. “DeST 3.0: A New-Generation Building Performance Simulation Platform.” Building Simulation 15 (11): 1849–68.https://doi.org/10.1007/s12273-022-0909-9.

[45]Chen, Zhihua, Yixing Chen*, and Chuhao Yang. 2022. “Impacts of Large Chilled Water Temperature Difference on Thermal Comfort, Equipment Sizes, and Energy Saving Potential.” Journal of Building Engineering 49 (May):104069.https://doi.org/10.1016/j.jobe.2022.104069.

[46]Deng, Zhang, Yixing Chen*, Jingjing Yang, and Zhihua Chen. 2022. “Archetype Identification and Urban Building Energy Modeling for City-Scale Buildings Based on GIS Datasets.” Building Simulation 15 (9): 1547–59.https://doi.org/10.1007/s12273-021-0878-4.（荣获Building Simulation期刊2022年最佳论文奖）

[47]Chen, Shuo, Guomin Zhang, Xiaobo Xia, Yixing Chen, Sujeeva Setunge, and Long Shi. 2021. “The Impacts of Occupant Behavior on Building Energy Consumption: A Review.” Sustainable Energy Technologies and Assessments 45 (June):101212.https://doi.org/10.1016/j.seta.2021.101212.

[48]Deng, Zhang, Yixing Chen*, Xiao Pan, Zhiwen Peng, and Jingjing Yang. 2021. “Integrating GIS-Based Point of Interest and Community Boundary Datasets for Urban Building Energy Modeling.” Energies 14 (4): 1049.https://doi.org/10.3390/en14041049.

[49]Yang, Qing, Nianping Li, and Yixing Chen. 2021.“Energy Saving Potential and Environmental Benefit Analysis of Application of Balcony for Residence in the Hot Summer and Cold Winter Area of China.”Sustainable Energy Technologies and Assessments 43 (February):100972.https://doi.org/10.1016/j.seta.2020.100972.

[50]Chen, Yixing*, Zhang Deng, and Tianzhen Hong. 2020. “Automatic and Rapid Calibration of Urban Building Energy Models by Learning from Energy Performance Database.” Applied Energy 277 (November):115584.https://doi.org/10.1016/j.apenergy.2020.115584.

[51]Ferrando, Martina, Francesco Causone, Tianzhen Hong, and Yixing Chen. 2020. “Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of Bottom-up Physics-Based Approaches.” Sustainable Cities and Society 62 (November):102408.https://doi.org/10.1016/j.scs.2020.102408.

[52]Chen, Yixing*, Chuhao Yang, Xiao Pan, and Da Yan. 2020. “Design and Operation Optimization of Multi-Chiller Plants Based on Energy Performance Simulation.” Energy and Buildings 222 (September):110100.https://doi.org/10.1016/j.enbuild.2020.110100.

[53]Hong, Tianzhen, Yixing Chen, Xuan Luo, Na Luo, and Sang Hoon Lee. 2020. “Ten Questions on Urban Building Energy Modeling.” Building and Environment 168 (January):106508.https://doi.org/10.1016/j.buildenv.2019.106508.

[54]Chen, Yixing, Tianzhen Hong, Xuan Luo, and Barry Hooper. 2019. “Development of City Buildings Dataset for Urban Building Energy Modeling.” Energy and Buildings 183 (January):252–65.https://doi.org/10.1016/j.enbuild.2018.11.008.

[55]Chen, Yixing*, and Tianzhen Hong. 2018. “Impacts of Building Geometry Modeling Methods on the Simulation Results of Urban Building Energy Models.” Applied Energy 215 (April):717–35.https://doi.org/10.1016/j.apenergy.2018.02.073.

[56]Hong, Tianzhen, Yixing Chen, Zsofia Belafi, and Simona D’Oca. 2018. “Occupant Behavior Models: A Critical Review of Implementation and Representation Approaches in Building Performance Simulation Programs.” Building Simulation 11 (1): 1–14.https://doi.org/10.1007/s12273-017-0396-6.

[57]Chen, Yixing, Tianzhen Hong, and Xuan Luo. 2018. “An Agent-Based Stochastic Occupancy Simulator.” Building Simulation 11 (1): 37–49.https://doi.org/10.1007/s12273-017-0379-7.

[58]Chen, Yixing, Xin Liang, Tianzhen Hong, and Xuan Luo. 2017. “Simulation and Visualization of Energy-Related Occupant Behavior in Office Buildings.” Building Simulation 10 (6): 785–98.https://doi.org/10.1007/s12273-017-0355-2.

[59]Chen, Yixing, Tianzhen Hong, and Mary Ann Piette. 2017. “Automatic Generation and Simulation of Urban Building Energy Models Based on City Datasets for City-Scale Building Retrofit Analysis.” Applied Energy 205 (November):323–35.https://doi.org/10.1016/j.apenergy.2017.07.128.

[60]Luo, Xuan, Tianzhen Hong, Yixing Chen, and Mary Ann Piette. 2017. “Electric Load Shape Benchmarking for Small- and Medium-Sized Commercial Buildings.” Applied Energy 204 (October):715–25.https://doi.org/10.1016/j.apenergy.2017.07.108.

[61]Luo, Xuan, Khee Poh Lam, Yixing Chen, and Tianzhen Hong. 2017. “Performance Evaluation of an Agent-Based Occupancy Simulation Model.” Building and Environment 115 (April):42–53.https://doi.org/10.1016/j.buildenv.2017.01.015.

[62]Hong, Tianzhen, Hongsan Sun, Yixing Chen, Sarah C. Taylor-Lange, and Da Yan. 2016. “An Occupant Behavior Modeling Tool for Co-Simulation.” Energy and Buildings 117 (April):272–81.https://doi.org/10.1016/j.enbuild.2015.10.033.

[63]Chen, Yixing, Benny Raphael, and S.C. Sekhar. 2016.“Experimental and Simulated Energy Performance of a Personalized Ventilation System with Individual Airflow Control in a Hot and Humid Climate.”Building and Environment 96 (February):283–92.https://doi.org/10.1016/j.buildenv.2015.11.036.

[64]Hong, Tianzhen, Simona D’Oca, Sarah C. Taylor-Lange, William J.N. Turner, Yixing Chen, and Stefano P. Corgnati. 2015. “An Ontology to Represent Energy-Related Occupant Behavior in Buildings. Part II: Implementation of the DNAS Framework Using an XML Schema.” Building and Environment 94 (December):196–205.https://doi.org/10.1016/j.buildenv.2015.08.006.

[65]Hong, Tianzhen, Mary Ann Piette, Yixing Chen, Sang Hoon Lee, Sarah C. Taylor-Lange, Rongpeng Zhang, Kaiyu Sun, and Phillip Price. 2015. “Commercial Building Energy Saver: An Energy Retrofit Analysis Toolkit.” Applied Energy 159 (December):298–309.https://doi.org/10.1016/j.apenergy.2015.09.002.

[66]Lee, Sang Hoon, Tianzhen Hong, Mary Ann Piette, Geof Sawaya, Yixing Chen, and Sarah C. Taylor-Lange. 2015.“Accelerating the Energy Retrofit of Commercial Buildings Using a Database of Energy Efficiency Performance.”Energy 90 (October):738–47.https://doi.org/10.1016/j.energy.2015.07.107.

[67]Chen, Yixing, Lixing Gu, and Jianshun Zhang. 2015. “EnergyPlus and CHAMPS-Multizone Co-Simulation for Energy and Indoor Air Quality Analysis.” Building Simulation 8 (4): 371–80.https://doi.org/10.1007/s12273-015-0211-1.

[68]Zhang, Jianshun, P. Michael Pelken, Yixing Chen, Daniel J. Rice, Zhaozhou Meng, Shewangizaw Semahegn, Lixing Gu, Hugh Henderson, Wei Feng, and Francesca Ling. 2013. “‘Virtual Design Studio’—Part 2: Introduction to Overall and Software Framework.” Building Simulation 6 (3): 253–68.https://doi.org/10.1007/s12273-013-0111-1.

[69]Zhang, Jianshun, P. Michael Pelken, Yixing Chen, Daniel J. Rice, Zhaozhou Meng, Shewangizaw Semahegn, Lixing Gu, Hugh Henderson, Wei Feng, and Francesca Ling. 2013. “‘Virtual Design Studio’—Part 2: Introduction to Overall and Software Framework.” Building Simulation 6 (3): 253–68.https://doi.org/10.1007/s12273-013-0111-1.

[70]Chen, Yixing, Benny Raphael, and S. C. Sekhar. 2012. “Individual Control of a Personalized Ventilation System Integrated with an Ambient Mixing Ventilation System.” HVAC&R Research 18 (6): 1136–52.https://doi.org/10.1080/10789669.2012.710059.

[71]Wong, Nyuk Hien, Steve Kardinal Jusuf, Nedyomukti Imam Syafii, Yixing Chen, Norwin Hajadi, Haripriya Sathyanarayanan, and Yamini Vidya Manickavasagam. 2011. “Evaluation of the Impact of the Surrounding Urban Morphology on Building Energy Consumption.” Solar Energy 85 (1): 57–71.https://doi.org/10.1016/j.solener.2010.11.002.

中文论文

[1]刘梦月,彭佳强,肖睿,陈熙,宋梦宇,邓章,陈毅兴*. (2022).基于深度学习的城市屋顶光伏面积识别及光伏发电潜力研究.建筑科学,已被录用.

[2]潘晓,陈毅兴*,邓章,陈志华,杨楚豪. (2021).典型建筑能耗模型搭建—以长沙商场建筑为例.西安建筑科技大学学报(自然科学版),已被录用.拟定在2021年第6期刊出.

[3]邓章,陈毅兴*. (2022).基于GIS和历史卫星影像的城市建筑大数据识别.湖南大学学报(自然科学版), 2021年8月被录用.

[4]杨楚豪,陈毅兴*,袁玥,陈志华,李念平,彭琛. (2022).基于公式拟合和基于机器学习的地源热泵能耗建模对比分析.建筑科学,已被录用.将在2022年第4期上发表.

[5]姜颖,贺习之,闫文昀,陈毅兴*. (2021).实验室挥发性有机物意外泄露的应急通风方式研究.建筑科学,已被录用.将在2021年第10期上发表.

[6]李梅香,彭惠旺,陈毅兴,李定鹏,覃雪婷,黄 宇. (2021).商场建筑运行能耗实测数据修复方法研究.建筑节能(中英文), 2021, 5(49), 37-45.

[7]孙一凫,吕浩宇,陈毅兴,任晓欣,吴若飒, &沈启. (2019).基于EnergyPlus-Python联合模拟和强化学习 算法的室内环境控制优化.建筑科技, 398. https://doi.org/10.16116/j.cnki.jskj.2019.24.010

[8]孙红三,王闯,丰晓航,燕达,洪天真,陈毅兴(2016).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

[1]Wenxian Zhao, Zhang Deng, Yixing Chen.(2023). Building energy consumption and peak load reduction potential of mixed-use community through urban building energy modeling. Building Simulation 2023: Simulation for low carbon design, low carbon operation and low carbon city (BS2023), 4-6 September, 2023, Shanghai, China.

[2]Zhiyi Ren, Yixing Chen. (2023). Economic analysis of rooftop photovoltaics system under different shielding conditions for 20 cities in China. Building Simulation 2023: Simulation for low carbon design, low carbon operation and low carbon city (BS2023), 4-6 September, 2023, Shanghai, China.

[3]Zhiyuan Wang, Yixing Chen. (2023). Design optimization of heating and cooling systems of a mixed-use community. Building Simulation 2023: Simulation for low carbon design, low carbon operation and low carbon city (BS2023), 4-6 September, 2023, Shanghai, China.

[4]Zhang Deng, Z. Javanroodi , V. M. Nik, Yixing Chen. et al. (2022). AUrban building energy modeling under climate change: A case study of Geneva, Switzerland. 8th Applied Energy Symposium: Low Carbon Cities & Urban Energy Systems, 24-27 November 2022, Matsue, Japan/Online.

[5]Wanlei Wei, Yixing Chen,Chengcheng Song. (2022). Rapid building energy modeling using prototype model and automatic model calibration for retrofit analysis with uncertainty. 8th Applied Energy Symposium: Low Carbon Cities & Urban Energy Systems, 24-27 November 2022, Matsue, Japan/Online.

[6]Yanfei Ji, Yixing Chen. et al. (2022). Rapid Retrofit Analysis for City Scale Residential Buildings. Applied Energy Symposium 2022: Clean Energy towards Carbon Neutrality (CEN2022), 23-25 April, 2022, Ningbo,China.

[7]Yue Yuan, Yixing Chen. J. Yang. (2022). A Novel Multi-Task Learning Model for Day-ahead Energy Forecasting of Commercial Building with Attention Mechanism 14th International Conference on Applied Energy (ICAE2022), 8-12 Aug, 2022, Bochum, Germany.

[8]Zhang Deng, Yixing Chen. Jingjing Yang. (2022). AutoBEM: An urban building energy modeling tool to explore carbon reduction pathways. Applied Energy Symposium 2022: Clean Energy towards Carbon Neutrality (CEN2022), 23-25 April, 2022, Ningbo,China.

[9]Zhang Deng, Yixing Chen. (2021). Modeling Changsha: A framework to generate urban building energy models based on GIS data. 2nd International Conference for Global Chinese Academia on Energy and Built Environment, 16-19 July 2021, Chengdu, China.

[10]Zhihua Chen, Yixing Chen. (2021). Design and Operation Optimization of High-Efficiency Chiller Plants Based on Energy Performance Simulation. 2nd International Conference for Global Chinese Academia on Energy and Built Environment, 16-19 July 2021, Chengdu, China.

[11]Yixing Chen, Tianzhen Hong (2019). Automatic and Rapid Calibration of Urban Building Energy Models. Building Simulation 2019, 2-4 September 2019, Rome, Italy.

[12]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

[13]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.

[14]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

[15]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)

[16]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.

[17]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

[18]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

[19]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.

[20]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

[21]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

[22]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

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

[24]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.

[25]Meng, M. Pelken, J. Zhang, D. Rice, Y. Chenet 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)

[26]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.

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

[28]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.

[29]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.

[30]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

[1]刘梦月,陈毅兴.(2023).基于Mask R-CNN的城市屋顶轮廓识别和光伏潜力分析.第21届全国暖通空调模拟学术年会,2023年5月24-26日,中国太原.

[2]何亚玲,陈毅兴. (2021).人行为对建筑节能标准节能率的影响—以ASHRAE 90.1为例.第二届华人能源与人工环境国际学术会议, 2021年7月16-19日,中国成都.

[3]彭志文,陈毅兴. (2021).未来气候变化下长沙市公共建筑节能分析.第二届华人能源与人工环境国际学术会议, 2021年7月16-19日,中国成都.

[4]郭夏阳,陈毅兴,邓章,陈志华. (2021).长沙地区医院建筑典型能耗模型研究.第二届华人能源与人工环境国际学术会议, 2021年7月16-19日,中国成都.

[5]杨晶晶,陈毅兴,邓章,彭志文. (2021).中国不同气候区典型建筑能耗模型的建立.第二届华人能源与人工环境国际学术会议, 2021年7月16-19日,中国成都.

[6]潘晓,陈毅兴,邓章,陈志华.(2021).长沙地区商场建筑特征参数调研与典型能耗模型搭建. 2021年全国暖通空调模拟学术年会,陕西西安, 2021年4月.

[7]杨楚豪,陈毅兴,袁 玥,陈志华,李念平.(2021).基于实测数据的热泵机组能耗建模对比与分析. 2021年全国暖通空调模拟学术年会,陕西西安, 2021年4月.

[8]袁玥,陈毅兴.(2021).基于多种时间序列分析方法的商用建筑冷负荷预测模型建立. 2021年全国暖通空调模拟学术年会,陕西西安, 2021年4月.

[9]邓章,陈毅兴.(2021).基于GIS数据的城市尺度建筑类型及建造年代识别方法. 2021年全国暖通空调模拟学术年会,陕西西安, 2021年4月.

[10]陈志华,陈毅兴,杨楚豪.(2021).不同气候条件下冷冻侧大温差设计对建筑能耗及室内热舒适的影响. 2021年全国暖通空调模拟学术年会,陕西西安, 2021年4月.

[11]邓章，陈毅兴.基于城市信息点（POI）与建筑轮廓的建筑类型识别方法—以长沙市为例.第22届暖通空调制冷学术年会,太原，2020年10月.

[12]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.第16届全国暖通空调年会，重庆，2008年5月。

代表性奖励与荣誉

[1]2023年 获Building Simulation期刊年度最佳论文奖

[2]2021年 获 第二届“湖南省优秀科技工作者”称号

[3]2020年 获 湖南省优秀青年基金

[4]2018年 获 湖南大学 “岳麓学者计划”(晨星A岗)

[5]2017年 获 美国劳伦斯伯克利国家实验杰出贡献奖（outstanding performance）

[6]2013年 获 美国雪城大学优秀博士毕业生称号

[7]2006年 获 清华大学优秀学生干部称号

其他奖励与荣誉

[1]2022年 获评 湖南大学优秀工会积极分子

[2]2022年 获评 湖南大学招生宣传工作先进个人

[3]2021年 获 湖南省制冷学会“优秀青年科技工作者”称号

[4]2019年 获 “天职英才基金”“青矩学者”奖励