本研究团队聚焦以下研究方向：1、热湿环境多因素暴露机理研究；2、个性化控制装备开发与评估；3、人体工效学测试传感器及装备体系研究，凝练和挖掘人工环境营造过程中的关键科学问题，建设国内领先的热舒适与工效学研究平台和研究团队。本研究团队以建筑环境学、行为学、医学和人工智能（AI）学科交叉为特色，支持《建筑环境学》、《建筑环境人因工程》等课程的建设，融合人工智能（AI）技术，服务极地空间极端环境控制、个体热防护装备开发、车辆环境调控、康养设施等产业的发展需求。

国家自然科学基金：我国夏热冬冷气候区老年人局部热感觉模型及其作用机理研究

国家自然科学基金：夏热冬冷地区老年人热感觉模型研究

十三五国家重点研发计划项目：长江流域建筑供暖空调解决方案和相应系统

十三五国家重点研发计划项目：城市新区能源系统规划设计优化技术

十四五国家重点研发计划项目：主动健康和人口老龄化科技应对

世界银行全球环境基金技术援助项目：基于需求侧节能的综合能源规划实施路径研究

国家电网科学研究项目：分布式低碳能源站关键技术研究与应用

中国电力科学研究院项目：智慧能源热力网、冷网耦合优化技术研究

中国电信上海公司项目：数据中心冷电联供匹配、安全、经济性研究

等三十余项

国家自然科学基金：我国夏热冬冷气候区老年人局部热感觉模型及其作用机理研究

国家自然科学基金：夏热冬冷地区老年人热感觉模型研究

十三五国家重点研发计划项目：长江流域建筑供暖空调解决方案和相应系统

十三五国家重点研发计划项目：城市新区能源系统规划设计优化技术

十四五国家重点研发计划项目：主动健康和人口老龄化科技应对

世界银行全球环境基金技术援助项目：基于需求侧节能的综合能源规划实施路径研究

国家电网科学研究项目：分布式低碳能源站关键技术研究与应用

中国电力科学研究院项目：智慧能源热力网、冷网耦合优化技术研究

中国电信上海公司项目：数据中心冷电联供匹配、安全、经济性研究

等三十余项

近五年学术论文

[1] Wang M, Yu H, Jing R, et al. Prediction and comparison of urban electricity consumption based on grey system theory: A case study of 30 southern China cities [J]. Cities, 2023, 137(104299).

[2] Jiao Y, Yu Y F, Yu H, et al. The impact of thermal environment of transition spaces in elderly-care buildings on thermal adaptation and thermal behavior of the elderly [J]. Building and Environment, 2023, 228(17).

[3] Mao, H.; Yu, H.; Tang, Y.; Zhang, K.; Luo, M.; Zhuang, L. Psychological State and Subjective Environmental Perception of College Students Residing in Dormitories during Quarantine: A Case Study. Buildings 2023, 13, 1065.

[4] Y. Tang, Z. Su, H. Yu, K. Zhang, C. Li, H. Ye, A database of clothing overall and local insulation and prediction models for estimating ensembles’ insulation, Building and Environment, 207 (2022) 108418.

[5] Zhang K, Yu H, Tang Y, et al. Quantitative Investigation of Body Part Selection for Data-Driven Personal Overall Thermal Preference Prediction [J]. Buildings, 2022, 12(2).

[6] Tang Y, Yu H, Zhang K, et al. Thermal comfort performance and energy-efficiency evaluation of six personal heating/cooling devices [J]. Building and Environment, 2022, 217

[7] C. Liu, H. Yu, Experimental Investigations on Heat Transfer Characteristics of Direct Contact Liquid Cooling for CPU[J], Buildings, 12(7) (2022)

[8] Y. Zhou, H. Yu, S. Xu, M. Luo, X. Zhou, High‐density thermal sensitivity of the hand under different thermal states and stimulus intensities, Indoor Air 32(8) (2022)

[9] M. Wang, H. Yu, Y. Yang, R. Jing, Y. Tang, C. Li, Assessing the impacts of urban morphology factors on the energy performance for building stocks based on a novel automatic generation framework, Sustainable Cities and Society,  (2022) 104267.

[10] H. Yu, M. Wang, X. Lin, H. Guo, H. Liu, Y. Zhao, H. Wang, C. Li, R. Jing, Prioritizing urban planning factors on community energy performance based on GIS-informed building energy modeling, Energy and Buildings, 249 (2021) 111191. 

[11] M. Wang, H. Yu, Y. Yang, X. Lin, H. Guo, C. Li, Y. Zhou, R. Jing, Unlocking emerging impacts of carbon tax on integrated energy systems through supply and demand co-optimization, Applied Energy, 302 (2021) 117579. 

[12] C. Liu, H. Yu, Evaluation and Optimization of a Two-Phase Liquid-Immersion Cooling System for Data Centers, Energies, 14(5) (2021) 21. 

[13] X.Y. Lin, H. Yu, M. Wang, C.E. Li, Z. Wang, Y. Tang, Electricity Consumption Forecast of High-Rise Office Buildings Based on the Long Short-Term Memory Method, Energies, 14(16) (2021) 21. 

[14] H. Yu, Z.Y. Liu, C.E. Li, R. Liu, Study on Pricing Mechanism of Cooling, Heating, and Electricity Considering Demand Response in the Stage of Park Integrated Energy System Planning, Applied Sciences-Basel, 10(5) (2020). 

[15] H. Yu, C. Li, K. Zhang, Y. Tang, Y. Song, M. Wang, Preparation and thermophysical performance of diatomite-based composite PCM wallboard for thermal energy storage in buildings, Journal of Building Engineering, 32 (2020) 101753. 

[16] M. Wang, H. Yu, X.Y. Lin, R. Jing, F.J. He, C.E. Li, Comparing stochastic programming with posteriori approach for multi-objective optimization of distributed energy systems under uncertainty, Energy, 210 (2020). 

[17] M. Wang, H. Yu, R. Jing, H. Liu, P. Chen, C. Li, Combined multi-objective optimization and robustness analysis framework for building integrated energy system under uncertainty, Energy Conversion and Management, 208 (2020) 112589. 

[18] Y. Tang, H. Yu, Z. Wang, M.H. Luo, C.E. Li, Validation of the Stolwijk and Tanabe Human Thermoregulation Models for Predicting Local Skin Temperatures of Older People under Thermal Transient Conditions, Energies, 13(24) (2020) 16. 

[19] Y. Song, C. Li, H. Yu, Y. Tang, Z. Xia, Optimization of the phase-change wallboard test method: Experimental and numerical investigation, Journal of Energy Storage, 30 (2020) 101559. 

[20] Z.Y. Liu, H. Yu, R. Liu, M. Wang, C.E. Li, Configuration Optimization Model for Data-Center-Park-Integrated Energy Systems under Economic, Reliability, and Environmental Considerations, Energies, 13(2) (2020) 22.

[21] C.E. Li, H. Yu, Y. Song, M. Wang, Z.Y. Liu, A n-octadecane/hierarchically porous TiO2 form-stable PCM for thermal energy storage, Renewable Energy, 145 (2020) 1465-1473. 

[22] Y. Jiao, H. Yu, Y.F. Yu, Z. Wang, Q. Wei, Adaptive thermal comfort models for homes for older people in Shanghai, China, Energy and Buildings, 215 (2020). 

[23] Y. He, H. Yu, A. Ozaki, N.N. Dong, Thermal and energy performance of green roof and cool roof: A comparison study in Shanghai area, Journal of Cleaner Production, 267 (2020). 

[24] Z. Wang, H. Yu, Z. Wang, M. Luo, A Random Forest-Based Prediction for Older People’s Thermal Sensation in Uniform and Stable Thermal Environment-A Case Study in Shanghai, ISHVAC 2019, Harbin, 2019.

[25] Z. Wang, H. Yu, M. Luo, Z. Wang, H. Zhang, Y. Jiao, Predicting older people's thermal sensation in building environment through a machine learning approach: Modelling, interpretation, and application, Building and Environment, 161 (2019) 106231. 

[26] Z. Wang, H. Yu, Y. Jiao, X. Chu, M. Luo, Chinese older people's subjective and physiological responses to moderate cold and warm temperature steps, Building and Environment, 149 (2019) 526-536. 

[27] M. Wang, F. He, H. Liu, P. Chen, Y. Tang, H. Yu, A two-stage multi-objective stochastic programming model for design of building integrated energy system, CUE2019, Xiamen, 2019.

[28] Z.Y. Liu, H. Yu, R. Liu, A novel energy supply and demand matching model in park integrated energy system, Energy, 176 (2019) 1007-1019. 

[29] C.E. Li, H. Yu, Y. Song, Z.Y. Liu, Novel hybrid microencapsulated phase change materials incorporated wallboard for year-long year energy storage in buildings, Energy Conversion and Management, 183 (2019) 791-802.

[30] C.E. Li, H. Yu, Y. Song, H. Liang, X. Yan, Preparation and characterization of PMMA/TiO2 hybrid shell microencapsulated PCMs for thermal energy storage, Energy, 167 (2019) 1031-1039. 

[31] C. Li, H. Yu, Y. Song, Experimental investigation of thermal performance of microencapsulated PCM-contained wallboard by two measurement modes, Energy and Buildings, 184 (2019) 34-43.

学术著作

建筑立体绿化的热湿迁移与环境调节，中国建筑工业出版社，2022

Guidelines for Community Energy Planning, Springer, 2019

老年人热舒适和居住环境研究，同济大学出版社，2019

城区需求侧能源规划实施指南，中国建筑工业出版社，2018

空调蓄冷技术与设计，化学工业出版社,2007