建筑环境与能源应用工程系

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李钰

发布时间:2021-09-10

李钰副教授  硕导

198804       

电子邮箱:liyu@dhu.edu.cn         

松江区人民北路2999号,IM体育投注官网,综合实验楼221

个人简介

本科就读于华中科技大学能源与动力工程学院,毕业后保送至华中科技大学煤燃烧国家重点实验室继续攻读硕士学位,2015年获得了英国Cardiff university全额博士奖学金开始读博,并在不到三年内顺利毕业。2021年入职IM体育投注官网工作至今。

教育经历

2015-2018:博士,建筑能源,卡迪夫大学(英国)

2010-2013:硕士,热能工程,华中科技大学

2006-2010:本科,热能与动力,华中科技大学

工作经历

2018-2020:博士后,卢森堡科学技术研究院

2013-2015:锅炉研发工程师,上海电气

研究方向

能源互联网与能耗大数据分析、建筑能耗模拟与优化、集中供暖系统优化与控制

代表性论著

1. Y. Li, Y. Rezgui, A. Guerriero, et al. Development of an adaptation table to enhance the accuracy of the Predicted Mean Vote model. 168 (2020) 106504. Build. Environ. doi.org/10.1016/j.buildenv.2019.106504 

2. Y. Li, Y. Rezgui, S. Kubicki, An intelligent semantic system for real-time demand response management of a thermal grid, Sustain. Cities Soc. 52 (2020) 101857. doi:10.1016/J.SCS.2019.101857.

3. Y. Li, S. Kubicki, A. Guerriero, Y. Rezgui, Review of building energy performance certification schemes towards future improvement, Renew. Sustain. Energy Rev. 113 (2019) 109244. doi:10.1016/J.RSER.2019.109244.

4. Y. Li, Y. Rezgui, A novel concept to measure envelope thermal transmittance and air infiltration using a combined simulation and experimental approach, Energy Build. 140 (2017) 380–387. doi:10.1016/j.enbuild.2017.02.036.

5. Y. Li, Y. Rezgui, H. Zhu, District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid, Renew. Sustain. Energy Rev. 72 (2017) 281–294. doi:10.1016/j.rser.2017.01.061. 

学术报告

1. 20199, 意大利罗马,“Identify the Interoperability Gaps from Building Information Modelling to Building Energy Modelling”. Building Simulation, 报告

2. 20196,中国香港,“A smart low carbon district energy network renovated from the largest steelworks in Luxembourg”. CIB World Building Congress, 报告

3. 201712月,广州,“Impact of Next Generation District Heating Systems on Distribution Network Heat Losses: A Case Study Approach”, IOP Conf. Ser. Mater. Sci. Eng., 报告

4. 20168,加拿大,奥沙瓦,“Dynamic simulation of heat losses in a district heating system: A case study in Wales”, 2016 IEEE Smart Energy Grid Eng., 报告

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