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田玮


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田玮 博士/教授

天津科技大学 机械工程学院

简介:

天津大学博士,英国剑桥大学博士后

曾工作于加拿大卡尔加里(Calgary)大学、英国普里茅斯(Plymouth)大学、美国统计及应用数学研究中心(SAMSI)

全国暖通空调学会/暖通空调产业技术创新联盟计算机模拟专业委员会(IBPSA-China)委员

入选斯坦福全球前2%顶尖科学家榜单(终身career和年度single year科学影响,建筑与建造领域),入选Top reviewers in Engineering - Publon

以下领域有定贡献绿色建筑能源综合利用及优化、装备能效优化及生命周期评价、城区建筑能源及碳排放、太阳能光伏光热技术、能源数据机器学习、系统不确定及敏感性分析等

共发表150余篇期刊/会议论文,其中50余篇SCI论文,30余篇中科院一区和二区论文,2篇论文入选ESI高被引论文,20余SCI期刊reviewer

30余国际会议/论坛报告,20余国内会议/论坛报告/分会场主席

主持或作为主要研究人员国家自然科学基金委员会、教育部、天津科委、英国工程和自然科学研究委员会(EPSRC)、加拿大自然科学和工程研究委员会(NSERC)、美国国家科学基金会(NSF)等项目

研究方向:

1: 建筑节能

  • 绿色建筑能耗的模拟与检测(EnergyPlus)

  • 建筑碳排放和生命周期评价

  • 城市微气候、建筑能耗与太阳能技术的相互影响

  • 地理信息系统(GIS)和空间回归方法用于城市建筑能耗分析

  • 不确定性、敏感性分析和机器学习方法应用于建筑能耗分析(R)

  • 贝叶斯方法用于城市和单体建筑能源分析

2: 过程工业节能控制

  • 过程工业过程模拟

  • 过程工业能耗检测及优化分析

  • 工业过程和设备的碳排放生命周期评价

  • 过程工业的监测及控制

科研项目:

  1. 国家自然科学基金面上项目,基于机器学习算法的城区建筑能耗不确定性及敏感性研究,2018.01-2021.12,主持。

  2. 教育部哲学社会科学研究重大课题攻关项目,可持续发展中的绿色设计研究,2017.01-2019.12,子课题负责人。

  3. 教育部“留学回国人员科研启动基金”,基于全局性敏感性分析方法的建筑节能研究,2015/03-2017/03,主持。

  4. 天津市科学技术委员会应用基础与前沿技术研究计划,编号:14JCYBJC42600,基于三维城市地理信息系统的天津市建筑节能研究,2014-2017,主持。

  5. 天津科技大学,基于地理信息系统的校园建筑能耗研究,2013/12-2016/09,主持。

  6. 英国工程和自然科学研究委员会EPSRC项目 (Energy Efficient Cities, EP/F034350/1),时间:2011.2-2013.8

  7. 美国国家科学基金会项目“Risk Conscious Design and Retrofit of Buildings for Low Energy (NSF 1038248) led by Prof. Godfried Augenbroe of the Georgia Institute of Technology, USA”,时间:2011.11-2013.8

  8. 美国国家科学基金会项目,Program on uncertainty quantification in SAMSI: (Statistical and Applied Mathematical Sciences Institute, Durham, NC), 工程研究中的不确定分析,时间:2011.10-2011.12

教授课程

  1. 现代工程计算方法(博士生课程)

  2. 能源环境学(硕士研究生课程)

  3. 实验设计与数据分析(硕士研究生课程)

  4. 过程装备设计(本科生课程)

  5. 过程装备专业英语(本科生课程)

  6. 过程智能控制(本科生课程)

发表论文:

英文期刊(近年来):

1) Wei Tian*, Chuanqi Zhu, Yu Sun, Zhanyong Li, Baoquan Yin. Energy Characteristics of urban buildings: assessment by machine learning, Building Simulation, 2021, 14(1), 179–193.

2) Liu Y, Tian Wei*, Zhou Xiang*. Energy and carbon performance of urban buildings using metamodeling variable importance techniques[J], Building Simulation. 2021, 14(3): 535-547.

3) Chuanqi Zhu, Wei Tian*, Baoquan Yin, Zhanyong Li, Jiaxin Shi. Uncertainty Calibration of Building Energy Models by Combining Approximate Bayesian Computation and Machine Learning Algorithms, Applied Energy, 2020, 268:115025.

4) Wei Tian*, Chuanqi Zhu, Yunliang Liu, Baoquan Yin, Jiaxin Shi, Energy Assessment of Urban Buildings Based on Geographic Information System, Journal of Green Building, 2020, 15 (3): 83–93.

5) Wei Tian*, Chuanqi Zhu, Pieter de Wilde , Jiaxin Shi, Baoquan Yin , Sensitivity Analysis of Building Energy Performance Based on Polynomial Chaos Expansion, Journal of Green Building, 2020, 15 (4): 173–183.

6) Jitian Song, Wei Tian*, Xiaofei Xu, Yening Wang, Zhanyong Li, Thermal Performance of a Novel Ultrasonic Evaporator Based on Machine Learning Algorithms, Applied Thermal Engineering, 2019, 148: 438-446.

7) Wei Tian *, Pieter de Wilde, Zhanyong Li, Jitian Song, Baoquan Yin, Uncertainty and Sensitivity Analysis of Energy Assessment for Office Buildings based on Dempster-Shafer Theory, Energy Conversion and Management, 2018, 174:705-718.

8) Wei Tian *, Yeonsook Heo, Pieter de Wilde, Zhanyong Li, Da Yan, Cheol Soo Park, Xiaohang Feng, and Godfried Augenbroe, A review of uncertainty analysis in building energy assessment, Renewable and Sustainable Energy Reviews, 2018, 93: 285-301.

9) Sun Y, Silva E, Tian W, Choudhary R, Leng H*. An Integrated Spatial Analysis Computer Environment for Urban-Building Energy in Cities. Sustainability. 2018;10:4235.

10) Wei Tian*, Song Yang, Jian Zuo, ZhanYong Li, YunLiang Liu, Relationship between built form and energy performance of office buildings in a severe cold Chinese region, Building Simulation: an International Journal, 2017,10(1):11-24.

11) Qi Zhang, Da Yan, Jingjing An, Tianzhen Hong, Wei Tian, Kaiyu Sun, Spatial distribution of internal heat gains: A probabilistic representation and evaluation of its influence on cooling equipment sizing in large office buildings, Energy and Buildings, 2017, 139:407-416.

12) Wei Tian*, Pieter de Wilde, Impact of global warming on thermal performance of domestic buildings using probabilistic climate data, International Journal of Global Warming, 2016, 10(4): 514-535.

13) Wei Tian*, Yunliang Liu, Yeonsook Heo, Da Yan, Zhanyong Li, Jingjing An, and Song Yang, Relative Importance of Factors Influencing Building Energy in Urban Environment, Energy, 2016, 222: 237-250.

14) Wei Tian*, Song Yang, Zhanyong Li, Shen Wei, Wei Pan, Yunliang Liu, Identifying informative energy data in Bayesian calibration of building energy models, Energy and Buildings, 2016, 119: 363-376.

英文会议(近年来):

1) Yunliang Liu, Wei Tian*, Xiang Zhou, Carbon Performance Evaluation of Urban Buildings Using Machine Learning-based Energy Models, ISHVAC (the 11th International Symposium on Heating, Ventilation and Air Conditioning) 2019, Harbin, China, July 12-15, 2019.

2) Xing Fu, Wei Tian*, Yu Sun, Chuanqi Zhu, Baoquan Yin, Uncertainty Analysis of Urban Building Energy Based on Two-dimensional Monte Carlo Method, ISHVAC (the 11th International Symposium on Heating, Ventilation and Air Conditioning) 2019, Harbin, China, July 12-15, 2019.

3) Chuanqi Zhu, Wei Tian*, Pieter de Wilde, Baoquan Yin, Approximate Bayesian Computation in Parameter Estimation of Building Energy Models, ISHVAC (the 11th International Symposium on Heating, Ventilation and Air Conditioning) 2019, Harbin, China, July 12-15, 2019.

4) Wei Tian*, Jiaxin Shi, Pieter de Wilde, Yu Sun, Chuanqi Zhu, Baoquan Yin, Sensitivity Analysis of Building Energy Performance Assessment Based on Machine Learning Models, ISHVAC (the 11th International Symposium on Heating, Ventilation and Air Conditioning) 2019, Harbin, China, July 12-15, 2019.

5) Wei Tian*, Xing Fu, Yu Sun, Baoquan Yin, Xianhao Meng, and Yunliang Liu, Sustainable Building Design Based on the Second Order Probability Approach, ISHAVC 2017 (the 10th International Symposium on Heating, Ventilation and Air Conditioning), JiNan,China, October 19-22

6) Wei Tian*, Xianhao Meng, Baoquan Yin, Yu Sun, Yunliang Liu and Xing Fu, Design of Robust Green Buildings Using a Non-probabilistic Uncertainty Analysis Method , ISHAVC 2017 (the 10th International Symposium on Heating, Ventilation and Air Conditioning), JiNan,China, October 19-22

7) Wei Tian*, Yunliang Liu, Jian Zuo , Baoquan Yin, Yu Sun, Xing Fu and Xianhao Meng, Building Energy Assessment Based on a Sequential Sensitivity Analysis Approach, ISHAVC 2017 (the 10th International Symposium on Heating, Ventilation and Air Conditioning), JiNan, China, October 19-22

8) Wei Tian*, Xianhao Meng, Junxia Zhang, Hui Zheng, Yunliang Liu, Xing Fu, Carbon emissions of three types of evaporator systems based on the Monte Carlo sampling method, The 17th APCChE2017 (Asian-Pacific Confederation of Chemical Engineering), Hong Kong, 23-27 August, 2017

9) Wei Tian*, Xing Fu, Zhanyong Li, Long Wu, Yunliang Liu, Xianhao Meng, Uncertainty and sensitivity analysis of thermal performance for dimpled plate evaporators, The 17th APCChE2017 (Asian-Pacific Confederation of Chemical Engineering), Hong Kong, 23-27 August, 2017

中文期刊及会议(近年来):

1) 张霞,田玮*,朱传琪,张安朝,吴海滨.基于不确定性理论的乳品降膜蒸发器设计[J].食品与机械,2021,37(01):108-113+192.

2) 朱传琪, 田玮*,史佳鑫,尹宝泉,抽样方法与样本数量对建筑能耗机器学习模型精度的影响研究,建筑科学,2020.36(4):199-207

3) 朱丽;张吉强;王飞雪;孙勇;田玮;朱传琪, 规划阶段建筑冷热负荷预测与特性分析,中南大学学报(自然科学版), 2020,(10):2969-2977

4) 高秀玲,田玮*,孟献昊,戴晓勇,张安朝, 精酿啤酒装备的环境影响及敏感性分析,食品工业,202041(01):204-209.

5) 孟献昊,田玮*,张峻霞,乳品降膜蒸发器的生命周期评价分析,食品工业,2018,39(10):199-204。

6) 成,朱丽,田玮,城市建筑布局的能耗敏感性分析,哈尔滨工业大学学报,2018,50(4):174-180.

7) 田玮*,刘云亮,孙禹,尹宝泉,孟庆新,孟献昊,傅兴,基于地理信息系统的城市建筑能耗模型建立方法[J],建筑节能,2017,45(7)40-46

8) 田玮*,李广臣,晋妙柔,张恒,吴海滨,傅兴,基于H2O的建筑能耗机器学习自动建模及可解释性研究,2021年全国暖通空调模拟学术年会,202149日至11日,陕西西安,长安大学

9) 晋妙柔,田玮*,李广臣,张恒,陈璐,傅兴,基于序贯抽样的建筑能耗敏感性收敛研究,2021年全国暖通空调模拟学术年会,202149日至11日,陕西西安,长安大学

10) 史佳鑫,田玮*,傅兴,晋妙柔,朱传琪,建筑围护不确定性评价的分类与量化,第22届暖通空调制冷学术年会(2020)中国太原,2020年10月12日到16日

11) 朱传琪,田玮*,晋妙柔,傅兴,史佳鑫,基于集成学习算法的逐时建筑能耗机器学习建模研究,第22届暖通空调制冷学术年会(2020)中国太原,2020年10月12日到16日

12) 田玮*,张安朝,朱传琪,尹宝泉,史佳鑫,建筑能耗数据样本数量对机器学习模型性能的影响研究,2019年全国暖通空调模拟学术年会,2019-5-1617日,四川成都,西南交通大学

13) 朱传琪,田玮*,张安朝,尹宝泉,史佳鑫,基于蒙特卡洛抽样方法的办公建筑能耗不确定性和敏感性分析,2019年全国暖通空调模拟学术年会,2019-5-1617日,四川成都,西南交通大学

通信地址:天津市河西区大沽南路1038号天津科技大学563信箱

邮政编码:300222
E-mail:weitian[at]tust.edu.cn