一、基本情况

长期从事城市与建筑能源系统优化、建筑环境控制的研究与实践，主持和参与国家及省部级6项，获批发明专利3项；在《Energy》、《Energy and Building》、《Renewable Energy》等专业期刊发表SCI刊源论文20余篇，2022年入选香江学者计划。

二、学习及工作经历

2009.09-2013.06 amjs澳金沙门，热能专业，工学学士

2013.08-2016.03 同济大学，动力工程，工学硕士

2016.08-2018.08，日本北九州大学，国际环境工学，工学博士

2019-至今    amjs澳金沙门副教授

2023.01-至今， 香港理工大学，屋宇设备工程学系，博士后，香江学者

三、研究领域

城市和建筑能源系统优化、智慧能源系统应用、室内健康环境控制

四、主讲课程

本科生课程：建筑设备、建筑环境控制学、绿色建筑概论

研究生课程：太阳能建筑

五、主要科研项目

主持国家基金委，国家自然科学基金青年项目，物理机理与数据驱动协同的能源柔性建筑运行控制策略研究，2023

主持香江学者计划项目：“面向碳中和的智慧建筑管理技术的研发”，2023

参与山东省教育厅山东省自然科学面上基金, 基于深度强化学习的建筑能源系统灵活调控策略研究, 2023

主持山东省青年自然科学基金项目：“面向可再生能源高渗透率的灵活性区域综合能源系统机理研究”，2022

参与国家重点研发计划项目：基于全生命周期碳减排的建筑运行能效和健康性能提升研究，2020

参与山东省重点研发计划项目：以健康为导向的智能化家庭能源管理系统研发，2019

六、主要学术成果

代表性论著：

1. Li, Y., Wang, Z., Xu, W., Gao, W., Xu, Y., & Xiao, F. (2023). Modeling and energy dynamic control for a ZEH via hybrid model-based deep reinforcement learning. Energy, 277, 127627.

2. Li, Y., Xu, W., Zhang, X., Wang, Z., Gao, W., & Xu, Y. (2023). System value and utilization performance analysis of grid-integrated energy storage technologies in Japan. Journal of Energy Storage, 63, 107051.

3. Yanxue Li, Zhiwei Jia, Xiaoyi Zhang, Yan Liu, Fu Xiao, Weijun Gao, Yang Xu. (2023). Energy flexibility analysis and model predictive control performances of space heating in Japanese zero energy house, Journal of Building Engineering, 107365.

4. Li, Y., Gu, Y., Li, Z., Zhang, X., Gao, W., & Xiao, F. (2023). Study on the challenge and influence of the built thermal environment on elderly health in rural areas: Evidence from Shandong, China. In Building Simulation (pp. 1-16). Beijing: Tsinghua University Press.

5. Li, Y., Zhang, X., Xiao, F., Gao, W., & Liu, Y. (2023, September). Modeling and management performances of distributed energy resource for demand flexibility in Japanese zero energy house. In Building Simulation (pp. 1-16). Beijing: Tsinghua University Press.

6. Shanshan Li, Xiaoyi Zhang, Yanxue Li^*, Weijun Gao, Fu Xiao, Yang Xu. (2023). A comprehensive review of impact assessment of indoor thermal environment on work and cognitive performance - Combined physiological measurements and machine learning, Journal of Building Engineering,71,106417.

7. Yang Xu, Weijun Gao, Yanxue Li, Fu Xiao. (2023). Operational optimization for the grid-connected residential photovoltaic-battery system using model-based reinforcement learning, Journal of Building Engineering, 73, 106774.

8. Xu W, Li Y^*, He G, Xu Y, Gao W. Performance Assessment and Comparative Analysis of Photovoltaic-Battery System Scheduling in an Existing Zero-Energy House Based on Reinforcement Learning Control. Energies. 2023; 16(13):4844.

9. Li, Y., Zhang, X., Gao, W., Wenya, X., & Wang, Z. (2021). Operational performance and grid-support assessment of distributed flexibility practices among residential prosumers under high PV penetration. Energy, 121824. SCI

10. Li, Y., Li, S., Gao, W., Xu, W., Xu, Y., & Wang, J. (2022). Exploring the effects of indoor temperature on college students’ physiological responses, cognitive performance and a concentration index derived from EEG signals. Developments in the Built Environment, 100095. SCI.

11. Li Yanxue, Zhang Xiaoyi, Gao Weijun, Qiao Jiuli. Lessons Learnt From the Residential Zero Carbon District Demonstration Project, Governance Practice, Customer Response, and Zero-energy House Operation in Japan[J]. Frontiers in Energy Research, 2022.

12. X. Zhang, W. Gao, Y. Li*, Z. Wang, Y. Ushifusa, Y. Ruan. Operational Performance and Load Flexibility Analysis of Japanese Zero Energy House. International journal of environmental research and public health. 18 (2021) 6782. SSCI

13. Li, Y., Gao, W., Zhang, X., Xu, W., Ruan, Y. et al. (2022). Field Investigation and Comparison Analysis of Low-Grade Heat Pump Technologies in Building Space Heating Projects. Energy Engineering, 119(1), 63–81. EI.

14. Li Yanxue*, Wang D, Li S, Gao W. Impact Analysis of Urban Morphology on Residential District Heat Energy Demand and Microclimate Based on Field Measurement Data. Sustainability. 2021; 13(4):2070. https://doi.org/10.3390/su13042070 SSCI

15. Li, Yanxue, et al. Capacity credit and market value analysis of photovoltaic integration considering grid flexibility requirements. Renewable Energy (2020). SCI

16. Li, Yanxue, et al. Techno-economic performance analysis of zero energy house applications with home energy management system in Japan. Energy and Buildings 214 (2020): 109862. SCI.

17. Li, Yanxue, Weijun Gao, and Yingjun Ruan. Potential and sensitivity analysis of long-term hydrogen production in resolving surplus RES generation—a case study in Japan. pp: 1164-1172 Energy (2019). SCI.

18. Li, Y., Gao, W., Ruan, Y., & Ushifusa, Y. The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan. Energy 164 . pp: 811-821(2018). SCI.

19. Li, Yanxue, Weijun Gao, and Yingjun Ruan. Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan. Renewable Energy 127 (2018) pp:514-523. SCI.

20. Li, Yanxue, et al. Demand response of customers in Kitakyushu smart community project to critical peak pricing of electricity. Energy and Buildings 168 (2018) pp:251-260. SCI.

21. Li, Yanxue, Weijun Gao, and Yingjun Ruan. Feasibility of virtual power plants (VPPs) and its efficiency assessment through benefiting both the supply and demand sides in Chongming country, China. Sustainable Cities and Society 35 (2017) pp:544-551. SCI.

22. Li, Y.; Gao, W.; Ruan, Y.; Ushifusa, Y. Grid Load Shifting and Performance Assessments of Residential Efficient Energy Technologies, a Case Study in Japan. Sustainability, 2018, 10, 2117. SSCI.

23. Xu, T., Gao, W., Qian, F., & Li, Y. (2022). The implementation limitation of variable renewable energies and its impacts on the public power grid. Energy, 239, 121992.

24. Xu, Y., Gao, W., Qian, F., & Li, Y. (2021). Potential Analysis of the Attention-Based LSTM Model in Ultra-Short-Term Forecasting of Building HVAC Energy Consumption. Frontiers in Energy Research, 463.

25. Zhao, X., Gao, W*., Qian, F., Li, Y., Ushifusa, Y., Yang, Z., ... & Ge, J. (2020). Economic performance of multi-energy supply system in a zero-carbon house. Energy and Buildings, 226, 110363.

发明专利：

1. 李岩学,阮应君,袁丽. 喷射制冷与主动式冷梁联合应用系统[P]. 上海市, 2018-06-29.

2. 李岩学,许文亚,顾月,徐阳,高伟俊. 基于Q学习的养老建筑室内热环境的无模型控制方法 [P]. 山东省, 2022-06-24.

3. 李岩学,王子璇,李珊珊,徐阳,高伟俊. 基于强化学习的室内热环境学习效率提升的优化控制方法 [P]. 山东省, 2022-06-24.