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个人简介
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李佩娴,同济大学建筑与城市规划学院副教授,上海市浦江人才。博士毕业于加拿大不列颠哥伦比亚大学,美国加州大学伯克利分校访问学者。长期从事低碳城市与绿色建筑、建筑热环境与热舒适相关研究。
主持国家自然科学基金青年科学基金项目1项、十四五重点研发计划子课题1项、省部级科研项目3项;作为骨干成员参与国际项目4项、国家级项目2项、省部级项目3项、校级科研项目2项。
发表学术论文43篇,其中SCI论文32篇,被引1900余次,ESI前1%高被引论文2篇,学术领域顶刊《Building and Environment》最优论文1篇;EI论文3篇、中文核心论文2篇、国际会议优秀论文1篇。发明专利授权1项、公开3项。担任《Automationin Construction》《Building and Environment》《Energy and Buildings》等近30本国际期刊审稿人和《Buildings》《Sustainability》特刊编委。参编全国性团标《城市建筑能耗及运行碳排放计算方法导则》、雄安新区地标《雄安新区建筑工程项目全生命周期能耗和碳排放计算技术标准》。担任教育部教指委建筑技术教学工作委员会青年委员。
工作经历
2023至今,同济大学,建筑与城市规划学院,建筑系,副教授
2020至2023,同济大学,土木工程学院,建筑工程系,博士后
教育经历
2018年,加州大学伯克利分校,建成环境中心(CBE),博士访问
2014至2020,不列颠哥伦比亚大学,可持续建筑科学,硕士&博士
2010至2014,同济大学,土木工程专业,本科
主讲课程
建筑物理(英)(本科)
建筑设计I(英)(本科)
城市物理(本科)
数据分析与可视化(本科)
专题设计IV(研究生)
属于建筑技术科学团队,建筑与城市性能工作室
工作室页面:http://pbc-caup.com/index.php?r=post/show&id=19&title=intro01
课题组致力于跨学科交流和全方位培养,欢迎对绿色、节能、低碳、智能感兴趣的同学报考。
主持
l 国家自然科学基金青年科学基金项目,基于高频高精度时空数据的建筑室内热环境长期评价方法研究,2022.1-2024.12
l 十四五重点研发计划子课题,基于点云的自动场景解析与高效三维逆建模技术,2022.11-2025.10
l 上海市浦江人才计划,基于人工智能与红外成像的建筑热舒适模型研究,2020.11-2022.10
l 博士后国际交流计划引进项目,基于自主感知的大数据智慧运维管理技术,2020.6-2022.5
l 中国博士后科学基金特别资助(站中),基于高精传感与认知心理的室内热舒适长周期评价体系,2022.7-2023.4
参与
l 国家自然科学基金面上项目,基于多源传感器的建筑能耗数据融合方法与时空演化机理研究,2021.1-2024.12
l 中国工程院战略研究与咨询项目(学部重点项目),绿色建造发展战略研究,2022.3-2023.2
l 上海市科委科技支撑碳达峰与碳中和专项,大型公共建筑超低能耗设计建造与运维关键技术研究及示范,2022.9.1-2025.8.31
l 上海市科委科技支撑碳达峰与碳中和专项,双碳背景下超大城市环境动态规划设计研究及示范,2022.9.1-2025.8.31
l 住房与城乡建设部软科学研究项目,绿色建造示范工程创建研究,2022.3.1-2025.3.31
l 同济大学,长三角生态绿色一体化示范区建筑业碳达峰碳中和研究,2021.3-2021.12
l 同济大学2022年度学科交叉联合攻关重点项目,基于三维重建和建筑特征语义识别的城市建筑能耗模拟与分析技术,2022.6-2024.5
l 美国ASHRAE, Development of the ASHRAE Global Thermal Comfort Database II, 2015.7-2018.7
l 加拿大NSERC, Improving the Cost Performance of High Performance, Low-Cost Housing, 2016.12-2017.6
l 加拿大CANARIE, Green 2.0: A Middleware Platform for Enabling Socio-Technical Analytics of Green Buildings, 2014.4-2015.8
l 加拿大NSERC, Sustainable Building Science Program, 2011.4-2017.3
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支持扩展名:.rar .zip .doc .docx .pdf .jpg .png .jpeg1.Li, Peixian, Xiangjun Zhao, Siyan Wang,Thomas Parkinson, Richard de Dear, and Xing Shi*. 2024. “Evidence-basedstrategies for optimizing long-term temperature monitoring in offices.” IndoorEnvironments 1(4): 100059.
2.Li, Peixian, Xiangjun Zhao, Naiping Gao, Maohui Luo, and XingShi*. 2024. “Influencing factors oflong-term thermal comfort in office buildings.” Building Simulation. DOI:10.1007/s12273-024-1179-5.
3.Li, Peixian, Yujie Lu*, and XuwenXiao. 2024. “Proposing a Development Framework for Sustainable AEC Industry inChina: Challenges, Best Practice, and Frontiers.” Frontiers of Structural andCivil Engineering 18(5):805-814.
4.Lu, Yujie, Guanghan Song*, PeixianLi*, and Na Wang. 2024. “Development of An Ontology for ConstructionCarbon Emission Tracking and Evaluation.” Journal of Cleaner Production443:141170.
5.Lu, Yujie, Shuo Wang,Sensen Fan, Jiahui Lu, Peixian Li*, and Pingbo Tang. 2024.“Image-based 3D Reconstruction for Multi-Scale Civil and InfrastructureProjects: A Review from 2012 to 2022 with New Perspective from Deep LearningMethods.” Advanced Engineering Informatics 59:102268.
6.Lu, Yujie, Wei Wei, Peixian Li*, Tao Zhong, YuanjunNong, and Xing Shi. 2023. “A deep learning method for building façade parsingutilizing improved SOLOv2 instance segmentation.” Energy and Buildings295:113275.
7.Li, Peixian, Jeremy Ng, and Yujie Lu*. 2022. “Accelerating the adoption of renewable energycertificate: Insights from a survey of corporate renewable procurement inSingapore.” Renewable Energy 199:1272-1282.
8.Li, Peixian, Pengfei Dai, Daqian Cao,Bo Liu, and Yujie Lu*. 2022. “Non-intrusive comfort sensing: Detecting age andgender from infrared images for personal thermal comfort.” Building andEnvironment 219:109256.
9.Li, Peixian, Yujie Lu*, Yingchu Qian, Yicheng Wang, and Wanying Liang. 2022. “AnExplanatory Parametric Model to Predict Comprehensive Post-CommissioningBuilding Performances.” Building and Environment 213:108897.
10.Lu, Yujie, Peixian Li*, Yih Perng Lee, andXiangnan Song. 2021. “An Integrated Decision-Making Framework for ExistingBuilding Retrofits Based on Energy Simulation and Cost-Benefit Analysis.” Journal of Building Engineering 43:103200.
11.Li, Peixian, Yujie Lu*, Da Yan, Jianzhuang Xiao, and Huicang Wu. 2021.“Scientometric Mapping of Smart Building Research: Toward A Framework ofHuman-Cyber-Physical System (HCPS).” Automation in Construction 129:103776.
12.Li, Peixian*, Thomas Parkinson, Stefano Schiavon, ThomasFroese*, Richard de Dear, Adam Rysanek, and Sheryl Staub-French. 2020.“Improved long-term thermal comfort indices for continuous monitoring.” Energyand Buildings 224:110270.
13.Li, Peixian, Thomas Parkinson, Gail Brager*, StefanoSchiavon, Toby C. T. Cheung, and Thomas Froese. 2019. “A Data-Driven Approachto Defining Acceptable Temperature Ranges in Buildings.” Building andEnvironment 153:302–312.
14.Li,Peixian*, Thomas M. Froese*, and Gail Brager. 2018.“Post-Occupancy Evaluation: State-of-the-Art Analysis and State-of-the-PracticeReview.” Building and Environment 133:187–202.
15.Li,Peixian*,Thomas M. Froese*, and Belgin Terim Cavka. 2018. “Life Cycle Assessment ofMagnesium Oxide Structural Insulated Panels for a Smart Home in Vancouver.”Energy and Buildings 175:78–86.
16.Li,Peixian* andThomas M. Froese*. 2017. “A Green Home Decision-Making Tool: SustainabilityAssessment for Homeowners.” Energy and Buildings 150:421–431.
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