张冲,男,博士,现任华中科技大学建筑与城市规划学院 建筑系 副研究员,华中科技大学博士,历任香港理工大学Postdoc Fellow博士后、Research Fellow研究员,入选2019年度国家人力资源与社会保障部“香江学者计划”。
主要研究兴趣包括:绿色建筑技术、低碳建筑人居环境营造、智能建筑技术与数据驱动建模、建筑碳中和、建筑表皮热湿光传递过程及气候设计理论等。迄今在建筑技术、建筑物理、建筑节能领域已发表学术论文50余篇,在国际知名期刊Applied Energy、Energy and Buildings, Energy, Sustainable Cities and Society发表SCI论文24篇,其中以第一作者/通讯作者发表国际权威SCI论文15篇(含JCR 1区论文13篇),篇均影响因子7.76,同时在建筑技术领域中文核心期刊《建筑科学》发表论文4篇。在美国亚特兰大、瑞典韦斯特罗斯等地举办的国际学术会议上进行相关研究成果的报告10余次。于2018年在中国建筑学会暖通空调分会举办的学术年会上,获得《青年优秀论文》奖(入选率1%左右)。
作为项目负责人,主持国家自然科学基金青年项目、香江学者计划项目、中国博士后科学基金面上一等资助项目等。作为项目骨干(排名第5)参与“十三五”国家重点研发计划“高密度城市中建筑综合能源系统的智能管理技术研发”项目(612万),担任香港创新及科技支援计划项目“Smart data-driven building management framework for environmental and sustainability applications”(730万港币)项目经理,作为主要完成人参与国家自然科学基金项目3项。
现为国际建筑性能模拟协会会员(IBPSA member),中国仿真学会建筑仿真专业委员会委员,暖通空调产业技术创新联盟智能化专业委员会委员,担任国际SCI期刊Buildings、Energies客座编辑Guest Editor,担任Applied Energy, Energy and Buildings, Building and Environment, Sustainable Cities and Society等10余个国际知名SCI期刊、及中文核心期刊《建筑科学》的审稿专家。
欢迎保送或报考本人研究生,也欢迎对本人科研方向感兴趣的本科生参与相关项目研究、开展大学生创新项目工作、并指导同学发表SCI论文,请直接与我联系!(Email: zhangchong@hust.edu.cn)
个人学术主页:
Google Scholar: https://scholar.google.com.hk/citations?hl=en&user=SpzNsMkAAAAJ
Researchgate: https://www.researchgate.net/profile/Chong-Zhang-10?ev=hdr_xprf
代表性科研项目:
[1] 国家自然科学基金青年项目, 基于主动隔热与排风热回收的建筑外窗耦合动态传热模型及实验研究(51808239), 2019.01-2021.12, 24万元, 已结题, 项目负责人
[2] 香江学者计划, 为智能节能建筑研发大数据驱动的模拟和优化方法(XJ2019044), 2020.06-2022.06, 72万元, 已结题, 项目负责人
[3] 中国博士后科学基金一等资助项目, 建筑外窗排风隔热机制的设计理论与气候适应性研究(2018M640702), 2018.12-2019.12, 8万元, 已结题, 项目负责人
[4] 华中科技大学启动经费, 融合可再生能源的建筑人居环境营造技术研究, 2023.02-2026.06, 50万元, 在研, 项目负责人
[5] 华中科技大学技术创新基金项目, 建筑新型通风窗节能效果研究及应用(CXY13Q029), 2013.07-2014.06, 2万元, 已结题, 项目负责人
[6] 国家重点研发计划, 高密度城市中建筑综合能源系统的智能管理技术研发(2021YFE0107400), 2021.07-2024.06, 612万元, 在研,项目骨干(排名第5,全程深度参与该项目申报及研究工作)
[7] 香港创新及科技支援计划项目, Smart Data-Driven Building Management Framework for Environmental and Sustainability Applications(ITP/002/22LP), 2022.03-2024.02, 730万港币, 在研, Project Manager (担任项目经理,协助合作导师统筹该项目的执行)
[8] 国家自然科学基金面上项目, 建筑外墙气流外渗隔热机制研究(51378231), 2014.01-2017.12, 80万元, 已结题,主要参与人
[9] 国家自然科学基金面上项目, 外层定型相变与内嵌管式通风屋面的主动隔热与蓄冷机制研究(51778255), 2018.01-2021.12, 60万元, 已结题, 主要参与人
[10] 国家自然科学基金青年项目, 基于随机不确定性与非概率不确定性量化分析的中央空调系统性能预测与优化配置方法研究(51808238), 2019.01-2021.12, 26万元, 已结题, 主要参与人
国际SCI期刊论文:
[1] C Zhang, W Gang, X Xu, L Li, J Wang*. Modelling, experimental test, and design of an active air permeable wall by utilizing the low-grade exhaust air. Applied Energy, 2019, 240: 730-743. (JCR 1区,IF=11.446)
[2] C Zhang, J Wang, L Li, W Gang*. Dynamic thermal performance and parametric analysis of a heat recovery building envelope based on air-permeable porous materials. Energy, 2019, 189: 116361. (JCR 1区,IF=8.857)
[3] C Zhang, W Gang, J Wang*, X Xu, Q Du. Numerical and experimental study on the thermal performance improvement of a triple glazed window by utilizing low-grade exhaust air. Energy, 2019, 167: 1132-1143. (JCR 1区,IF=8.857)
[4] C Zhang, X Xue, Q Du, Y Luo, W Gang*. Study on the performance of distributed energy systems based on historical loads considering parameter uncertainties for decision making. Energy, 2019, 176: 778-791. (JCR 1区,IF=8.857)
[5] C Zhang, C Cui, Y Zhang, J Yuan, Y Luo, W Gang*. A review of renewable energy assessment methods in green building and green neighborhood rating systems. Energy and Buildings, 2019, 195: 68-81. (JCR 1区,IF=7.201)
[6] L Li, C Zhang*, W Gang, J Wang*. Frequency thermal characteristic and parametric study of multi-functional heat recovery building envelope: Modelling and experimental validation. Energy and Buildings, 2021, 253: 111541. (JCR 1区,IF=7.201)
[7] J Wang, Q Du, C Zhang*, X Xu, W Gang. Mechanism and preliminary performance analysis of exhaust air insulation for building envelope wall. Energy and Buildings, 2018, 173: 516-529. (JCR 1区,IF=7.201)
[8] C Zhang*, F Xiao, J Wang*. Design optimization of multi-functional building envelope for thermal insulation and exhaust air heat recovery in different climates. Journal of Building Engineering, 2021, 43: 103151. (JCR 1区,IF=7.144)
[9] C Zhang, W Gang, J Wang*, X Xu, Q Du. Experimental investigation and dynamic modeling of a triple-glazed exhaust air window with built-in venetian blinds in the cooling season. Applied Thermal Engineering, 2018, 140: 73-85. (JCR 1区,IF=6.465)
[10] C Zhang, J Wang*, X Xu, F Zou, J Yu. Modeling and thermal performance evaluation of a switchable triple glazing exhaust air window. Applied Thermal Engineering, 2016, 92: 8-17. (JCR 1区,IF=6.465)
[11] C Zhang*, J Wang*. Determining the critical insulation thickness of breathing wall: Analytical model, key parameters, and design. Case Studies in Thermal Engineering, 2021, 27: 101326. (JCR 1区,IF=6.268)
[12] C Zhang*, J Wang, L Li, W Gang. Condensation risk of exhaust air heat recovery window system: Assessment, key parameters, and prevention measure. Case Studies in Thermal Engineering, 2021, 24: 100830. (JCR 1区,IF=6.268)
[13] L Li, C Zhang*. X Xu, J Yu, F Wang, W Gang, J Wang*. Simulation study of a dual-cavity window with gravity-driven cooling mechanism. Building Simulation, 2022, 15:1339–1352. (JCR 1区,IF=4.008)
[14] C Zhang, J Wang, L Li, F Wang, W Gang*. Utilization of earth-to-air heat exchanger to pre-cool/heat the ventilation air and its annual energy performance evaluation: A case study. Sustainability, 2020, 12: 8330. (JCR 2区,IF=3.889)
[15] J Guo, C Zhang*. Utilization of window system as exhaust air heat recovery device and its energy performance evaluation: A comparative study. Energies, 2022, 15: 3116. (JCR 3区,IF=3.252)
[16] X Jin, F Xiao, C Zhang, A Li. GEIN: An interpretable benchmarking framework towards all building types based on machine learning. Energy and Buildings, 2022, 260: 111909. (JCR 1区,IF=7.201)
[17] A Li, F Xiao, C Zhang, C Fan. Attention-based interpretable neural network for building cooling load prediction. Applied Energy, 2021, 299: 117238. (JCR 1区,IF=11.446)
[18] Y Yang, J Yuan, Z Xiao, H Yi, C Zhang, W Gang, H Hu. Energy consumption characteristics and adaptive electricity pricing strategies for college dormitories based on historical monitored data. Energy and Buildings, 2021, 245: 111041. (JCR 1区,IF=7.201)
[19] J Yuan, C Cui, Z Xiao, C Zhang, W Gang. Performance analysis of thermal energy storage in distributed energy system under different load profiles. Energy Conversion and Management, 2020, 208: 112596. (JCR 1区,IF=11.533)
[20] J Yuan, Z Xiao, C Zhang, W Gang. A control strategy for distributed energy system considering the state of thermal energy storage. Sustainable Cities and Society, 2020, 63: 102492. (JCR 1区,IF=10.696)
[21] J Gao, J Kang, C Zhang, W Gang. Energy performance and operation characteristics of distributed energy systems with district cooling systems in subtropical areas under different control strategies. Energy, 2018, 153: 849-860. (JCR 1区,IF=8.857)
[22] X Jin, C Zhang, F Xiao, A Li, C Miller. A review and reflection on open datasets of city-level building energy use and their applications. Energy and Buildings, 2023, 285: 112911. (JCR 1区,IF=7.201)
[23] H Zhang, F Xiao, C Zhang, R Li. A multi-agent system based coordinated multi-objective optimal load scheduling strategy using marginal emission factors for building cluster demand response. Energy and Buildings, 2023, 281: 112765. (JCR 1区,IF=7.201)
[24] X Jin, F Xiao, C Zhang, Z Chen. Semi-supervised learning based framework for urban level building electricity consumption prediction. Applied Energy, 2022, 328: 120210. (JCR 1区,IF=11.446)
部分中文期刊论文:
[1] 李辽, 张冲, 王劲柏. 重力驱动冷却窗的流动和传热特征. 华中科技大学学报(自然科学版), 2022, 50(10): 123-128. (中文核心期刊)
[2] 张冲, 王劲柏, 李辽, 刚文杰. 建筑排风隔热外窗冬季结露机理与防治. 建筑热能通风空调, 2022, 41(1): 32-35.
[3] 张冲, 王劲柏, 刚文杰, 李辽. 建筑外墙排风隔热机制的动态传热模型及实验研究. 建筑科学, 2019, 35(4): 2-9. (中文核心期刊)
[4] 杜前洲, 王劲柏, 张冲, 蒋诗宁. 排风隔热墙稳态传热模型的实验验证. 暖通空调, 2019, 49(5): 119-123. (中文核心期刊)
[5] 张冲, 王劲柏, 徐新华, 杜前洲. 建筑排风隔热外窗区域模型的实验验证. 建筑科学, 2017, 33(10): 60-67. (中文核心期刊)
[6] 杜前洲, 姜梅, 刚文杰, 张冲, 王劲柏. 基于实测数据的夏热冬暖地区校园建筑负荷分析. 制冷与空调(四川), 2019, 33(2): 135-142.
[7] 张冲, 王劲柏, 唐本望, 程矿. 不同气候区排风全热回收空调系统的节能效果分析. 制冷与空调, 2016, 16(6): 59-62.
[8] 张冲, 王劲柏, 曾中平, 严清. 排风隔热窗一维简化传热模型研究. 建筑节能, 2015, 43(6): 52-56.
[9] 张冲, 王劲柏, 徐新华, 康靖. 排风隔热窗的热工性能分析. 建筑节能, 2015, 43(1): 62-65.
[10] 邹付熙, 王劲柏, 张冲, 严清, 刘燕南, 徐新华. 外墙排风隔热机制及其热阻特性模拟研究. 建筑科学, 2015, 31(8): 80-86. (中文核心期刊)
[11] 严清, 王劲柏, 张冲, 康靖, 唐本望. 排风隔热墙的频域热特性研究. 建筑科学, 2015, 31(4): 114-119. (中文核心期刊)
(更新于2023年6月13日)