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张伟荣

副教授
博士生导师

城市建设学部

张伟荣，教授，博士生导师。2000年考入清华大学建筑学院本科，2004年直推本校硕士，就读于建筑环境与能源应用工程专业。2008年赴日本东京大学建筑系攻读博士学位，2012年取得工学博士学位。2012年至2018年，先后在东京大学生产技术研究所任博士后研究员及东京工艺大学建筑系副教授。2018年入选北京市级青年人才计划，加入北京工业大学建工学院，2019年入选国家级青年人才项目。

长期从事绿色低碳建筑、建筑智能通风、区域低碳能源规划等研究，围绕建筑节能和提高室内环境舒适度的重大需求，主持了国家自然科学基金面上及青年项目各1项、科技部“十三五”国家重点研发计划项目子课题2项、日本国家能源产业机构重大项目1项、日本文部科学省重点合作研究1项，日本铁道集团重点项目1项。在上述研究方向发表各类论文60余篇，参与编著了3本专著，参编了2项行业标准，在建筑环境控制方面拥有多项专利。2014年获得日本暖通空调学会论文奖，2016年获得日本暖通空调学会颁发的功绩奖，2021年获得住房和城乡建设部华夏建设科学技术奖二等奖。

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Multi-vent module-based adaptive ventilation to reduce cross-contamination among indoor occupants SCIE
期刊论文 | 2022 , 212 | BUILDING AND ENVIRONMENT
Zhang, Haotian | Zhang, Weirong | Zhang, Weijia | Xuan, Yingli | Yue, Yaqi 展开
WoS核心集被引次数： 18
摘要&关键词 引用

摘要 ：

Infectious respiratory diseases are known to have high levels of airborne transmissibility. However, traditional ventilation methods based on perfect mixing often lead to the diffusion of airborne pathogens. A ventilation method that can reduce air mixing is necessary. The ventilation system should also be able to adapt to changes in the use scenario of a given room. For this reason, a new type of ventilation method, referred to as multi-vent module-based adaptive ventilation (MAV), is proposed, and its performance in contaminant diffusion control is evaluated in this study. Computational fluid dynamics (CFD) is applied to investigate the contaminant distribution in a two-desk office with MAV. Tracer gas (CO2) is used to simulate coughed contaminants from an infected person. For three different MAV air distributions (vertical, parallel, and cross mode) and traditional mixing ventilation (MV), the contaminant concentration distributions and contaminant variations in the oronasal areas of the occupants are compared. The results show that MAV results in a smaller contaminant diffusion area and lower contaminant diffusion speed. Furthermore, MAV can reduce the peak contaminant concentrations at the oronasal areas of the occupants to 12% of that of MV. The levels of performance of the three MAV modes are different because of the different airflow patterns that they create. For the tested location of the infected person, the vertical mode has the best performance. The average cumulative inhalation of contaminants in the vertical mode is 23.7% lower than that in the cross mode and 36.5% lower than that in the parallel mode.

关键词 ：

Computational fluid dynamics (CFD) Computational fluid dynamics (CFD) Indoor contaminants Indoor contaminants Cross-infection Cross-infection Probable cumulative inhalation Probable cumulative inhalation Multi-vent module-based adaptive ventilation (MAV) Multi-vent module-based adaptive ventilation (MAV)

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GB/T 7714 Zhang, Haotian , Zhang, Weirong , Zhang, Weijia et al. Multi-vent module-based adaptive ventilation to reduce cross-contamination among indoor occupants [J]. | BUILDING AND ENVIRONMENT , 2022 , 212 .
MLA Zhang, Haotian et al. "Multi-vent module-based adaptive ventilation to reduce cross-contamination among indoor occupants" . | BUILDING AND ENVIRONMENT 212 (2022) .
APA Zhang, Haotian , Zhang, Weirong , Zhang, Weijia , Xuan, Yingli , Yue, Yaqi . Multi-vent module-based adaptive ventilation to reduce cross-contamination among indoor occupants . | BUILDING AND ENVIRONMENT , 2022 , 212 .
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一种室内动态温度分布预测方法 incoPat
专利 | 2022-09-16 | CN202211130600.0
张伟荣 | 赵雅楠 | 杨建荣 | 丁晓晓 展开
摘要&关键词 引用

摘要 ：

本发明公开了一种室内动态温度分布预测方法，涉及温度预测领域。本发明在获取每个热源对温度分布的敏感度SH的基础上，引入插值POD法，结合移动传感器采集信息，来实现室内全空间温度分布的动态预测。本发明引入插值POD法，能够快速获取各个热源的SH动态分布，打破了流场稳态假设对预测方法的应用局限性，对于实际应用中室内送风参数动态变化的情况，能够在不重复CFD数值模拟的前提下，实现温度分布的快速预测。

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GB/T 7714 张伟荣 , 赵雅楠 , 杨建荣 et al. 一种室内动态温度分布预测方法 : CN202211130600.0[P]. | 2022-09-16 .
MLA 张伟荣 et al. "一种室内动态温度分布预测方法" : CN202211130600.0. | 2022-09-16 .
APA 张伟荣 , 赵雅楠 , 杨建荣 , 丁晓晓 . 一种室内动态温度分布预测方法 : CN202211130600.0. | 2022-09-16 .
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Decision-making analysis of ventilation strategies under complex situations: A numerical study SCIE
期刊论文 | 2021 , 206 | BUILDING AND ENVIRONMENT
Zhang, Weijia | Zhang, Weirong | Mizutani, Kunio | Zhang, Haotian 展开
WoS核心集被引次数： 8
摘要&关键词 引用

摘要 ：

Current buildings are facing different environmental demands, such as improving thermal comfort and energy efficiency and reducing exergy loss. However, conventional mixing ventilation (MV) cannot satisfy the different demands; therefore, advanced ventilation modes utilizing a non-uniform environment have gained attention. Multiple scenarios with different occupant activity levels cause difficulties in ventilation control. For these multi factor and multi-objective oriented problems, two issues exist: 1) how to change the operational mode when the scenarios and demands change simultaneously, and 2) how to evaluate the overall ventilation performance under different scenarios and demand conditions. Therefore, this study proposes an approach for assisting in the decision making of ventilation strategies in different scenarios under single or multiple demand conditions. Using a typical office, three occupancy conditions were predesigned by combining MV, displacement ventilation (DV), and stratum ventilation (SV) solutions. Computational fluid dynamics simulations were performed to calculate the indicators for a single demand, namely, heat removal efficiency (HRE), contaminant removal efficiency (CRE), air diffusion performance index (ADPI), and modified index of mixing (IOM*). In the case of multiple demands, the Z-score was applied for standardization and ranking. The result showed that different scenarios with different demand orientations require different ventilation modes. Taking the HRE and IOM* as objectives, DV performed best for the scenario of independent working, whereas SV performed best for discussion and meeting. When considering four demands simultaneously, SV performed best in the scenario of meeting, while MV performed best in the remaining scenarios. This study has verified the effectiveness of using a multi-indicator evaluation method for ventilation strategy optimization under multi-factor and multi-scenario conditions.

关键词 ：

CFD CFD Decision-making analysis Decision-making analysis Multi-indicator evaluation Multi-indicator evaluation Multi-scenario Multi-scenario Z-score Z-score

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GB/T 7714 Zhang, Weijia , Zhang, Weirong , Mizutani, Kunio et al. Decision-making analysis of ventilation strategies under complex situations: A numerical study [J]. | BUILDING AND ENVIRONMENT , 2021 , 206 .
MLA Zhang, Weijia et al. "Decision-making analysis of ventilation strategies under complex situations: A numerical study" . | BUILDING AND ENVIRONMENT 206 (2021) .
APA Zhang, Weijia , Zhang, Weirong , Mizutani, Kunio , Zhang, Haotian . Decision-making analysis of ventilation strategies under complex situations: A numerical study . | BUILDING AND ENVIRONMENT , 2021 , 206 .
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The Framework of Technical Evaluation Indicators for Constructing Low-Carbon Communities in China SCIE SSCI
期刊论文 | 2021 , 11 (10) | BUILDINGS
Bai, Yifei | Zhang, Weirong | Yang, Xiu | Wei, Shen | Yu, Yang 展开
WoS核心集被引次数： 10
Article has an altmetric score of 1
摘要&关键词 引用

摘要 ：

In recent years, in order to promote the construction of low-carbon communities (LCCs) in China, many scholars have proposed an evaluation indicator system of LCC. The existing indicator systems are mostly established from the macro perspective of environmental impact and resource conservation, but few are from the micro technical perspective. Thus, the aim of this study is to construct a micro technical evaluation indicator system for LCCs. Firstly, the index system was divided into three categories: low-carbon building, low-carbon transportation, and low-carbon environment. Then, the technical indicators were selected through empirical analysis. The indicator weights were assigned by the improved analytic hierarchy process (AHP) and the multi-level fuzzy comprehensive evaluation method was used as the evaluation method of the indicators. Finally, in order to examine the practicality of the indicator system, two typical communities in Tianjin and Shanghai were selected as case studies. The results showed that the indicator system gave a reasonable low-carbon level for the two communities, which was in line with the actual low-carbon construction status of each community. In addition, the evaluation results pointed out that the low-carbon community (LCC) in Tianjin needs to further strengthen the construction of the low-carbon environment, including community compactness, rainwater collection and utilization, and waste recycling. For the LCC in Shanghai, it was pointed out that the construction of the low-carbon building and low-carbon transportation needs to be strengthened. The indicator system can be used as a tool for urban planning and construction personnel to evaluate the construction progress and low-carbon degree of LCC.

关键词 ：

low-carbon community low-carbon community improved analytic hierarchy process improved analytic hierarchy process technical indicators technical indicators multi-level fuzzy comprehensive evaluation method multi-level fuzzy comprehensive evaluation method

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GB/T 7714 Bai, Yifei , Zhang, Weirong , Yang, Xiu et al. The Framework of Technical Evaluation Indicators for Constructing Low-Carbon Communities in China [J]. | BUILDINGS , 2021 , 11 (10) .
MLA Bai, Yifei et al. "The Framework of Technical Evaluation Indicators for Constructing Low-Carbon Communities in China" . | BUILDINGS 11 . 10 (2021) .
APA Bai, Yifei , Zhang, Weirong , Yang, Xiu , Wei, Shen , Yu, Yang . The Framework of Technical Evaluation Indicators for Constructing Low-Carbon Communities in China . | BUILDINGS , 2021 , 11 (10) .
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室内温度分布预测系统 incoPat
专利 | 2021-06-28 | CN202110717385.3
张伟荣 | 臧紫晗 | 赵雅楠
摘要&关键词 引用

摘要 ：

本申请提供一种室内温度分布预测系统。所述系统包括：温度采集装置，用于根据温度采集路径规划指令，依次采集待预测空间内各温度采集坐标点处的温度数据；计算装置，用于根据所述温度采集装置采集的温度数据，并通过线性温度分布预测模型，计算待预测空间内温度预测目标点处的温度变化值；输出装置，用于输出所述计算装置计算得到的待预测空间内温度预测目标点处的温度变化值。这样，能够进行任意温度采集点处的温度采集，克服了固定传感器在安装数量和安装位置等方面存在的限制并节约成本，并且可快速计算温度预测目标点处的温度变化值，避免了计算流体力学进行室内温度分布计算时间长、计算负荷高等限制。

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GB/T 7714 张伟荣 , 臧紫晗 , 赵雅楠 . 室内温度分布预测系统 : CN202110717385.3[P]. | 2021-06-28 .
MLA 张伟荣 et al. "室内温度分布预测系统" : CN202110717385.3. | 2021-06-28 .
APA 张伟荣 , 臧紫晗 , 赵雅楠 . 室内温度分布预测系统 : CN202110717385.3. | 2021-06-28 .
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预测室内温度分布的方法及装置 incoPat
专利 | 2021-06-28 | CN202110717244.1
张伟荣 | 赵雅楠 | 臧紫晗
摘要&关键词 引用

摘要 ：

本申请提供一种预测室内温度分布的方法及装置。其中，所述方法包括：根据温度预测模型，建立针对单一温度预测点的以若干室内温度变化值为自变量的室内温度预测函数；获取分布设立于室内的若干温度预测点；求解所述室内若干温度预测点在对应所述室内温度预测函数中作为因变量的若干温度值，生成室内若干温度预测点的若干温度值；根据所述室内若干温度预测点温度值，生成室内温度分布数据。

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GB/T 7714 张伟荣 , 赵雅楠 , 臧紫晗 . 预测室内温度分布的方法及装置 : CN202110717244.1[P]. | 2021-06-28 .
MLA 张伟荣 et al. "预测室内温度分布的方法及装置" : CN202110717244.1. | 2021-06-28 .
APA 张伟荣 , 赵雅楠 , 臧紫晗 . 预测室内温度分布的方法及装置 : CN202110717244.1. | 2021-06-28 .
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一种基于多风口通风模块的室内适应性通风系统及方法 incoPat
专利 | 2021-11-13 | CN202111343603.8
张伟荣 | 张昊天 | 张惟佳 | 庆智喜 展开
摘要&关键词 引用

摘要 ：

本发明公开了一种基于多风口通风模块的室内适应性通风系统及方法，包括至少一个多风口通风模块，多风口通风模块包括换向风阀和通风管路，多风口通风管路与换向风阀相连通；换向风阀包括箱体、箱盖、换向机构、送风干管、回风干管、固定送风支管和多个可变风向支管，箱体内部设置有空腔，箱盖扣设在箱体顶端，换向机构安装在空腔内，箱盖顶端中心连接有送风干管，箱体底部中心连接有回风干管；固定送风支管连接在送风干管的一侧；多个可变风向支管均匀布设在箱体的周向。本发明可以将室内空间分割成不同子空间，将污染物控制在较小的区域内，减少了大规模污染物扩散的可能性，同时实现了送回风口可相互切换，以适应不同使用场景和需求。

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GB/T 7714 张伟荣 , 张昊天 , 张惟佳 et al. 一种基于多风口通风模块的室内适应性通风系统及方法 : CN202111343603.8[P]. | 2021-11-13 .
MLA 张伟荣 et al. "一种基于多风口通风模块的室内适应性通风系统及方法" : CN202111343603.8. | 2021-11-13 .
APA 张伟荣 , 张昊天 , 张惟佳 , 庆智喜 . 一种基于多风口通风模块的室内适应性通风系统及方法 : CN202111343603.8. | 2021-11-13 .
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切换风口装置 incoPat
专利 | 2021-11-23 | CN202122874261.4
张昊天 | 张伟荣 | 张惟佳 | 庆智喜 展开
摘要&关键词 引用

摘要 ：

本申请公开了一种切换风口装置，用以解决空调建筑物难以控制气流扩散方向的技术问题。一种切换风口装置，包括：送风干管，用于传输输入气流；与所述送风干管连接的箱体，用于接收所述输入气流，提供所述输入气流中转空间；与所述箱体连接的第一支管，用于输出所述输入气流至室内；与所述箱体连接的第二支管，用于接收室内的回流气流；与所述箱体连接的回风干管，用于输出汇集的回流气流；所述送风干管与所述第一支管形成送风通道；所述第二支管与所述回风干管形成回风通道；设置于所述箱体内部的切换阀模块，用于切换所述送风通道与回风通道；设置于所述箱体内部、具有传动轴的传动模块；所述切换阀模块与所述传动模块配接，受所述传动轴驱动。

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GB/T 7714 张昊天 , 张伟荣 , 张惟佳 et al. 切换风口装置 : CN202122874261.4[P]. | 2021-11-23 .
MLA 张昊天 et al. "切换风口装置" : CN202122874261.4. | 2021-11-23 .
APA 张昊天 , 张伟荣 , 张惟佳 , 庆智喜 . 切换风口装置 : CN202122874261.4. | 2021-11-23 .
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Optimization of Cooling Airflow in Data Center by CFD Analysis in a New Energy Efficient Cooling System Using CO2 as Cooling Medium EI
会议论文 | 2020 , 1175-1185 | 11th International Symposium on Heating, Ventilation and Air Conditioning, ISHVAC 2019
Zhang, Weirong | Li, Hongye | Bai, Yifei | Wang, Zhaofeng 展开
摘要&关键词 引用

摘要 ：

In data center, using outdoor low-temperature air as free cooling is one of the most effective ways to increase the energy efficiency of the heat source system. At the same time, optimizing the indoor air organization to reduce the energy consumption of fans is considered as another effective way of saving energy. In this study, a new cooling system for data center by using evaporation and condensation of CO2 as free cooling is proposed. Also, the system is optimized by organizing the cooling airflow with natural convection and small distributed fans on the indoor side. This paper mainly focuses on optimization of cooling airflow, especially that around racks. CFD is used to analyze the temperature distributions and flow distributions by adjusting power of small distributed fans and shape of the cooling unit. The results show that small distributed fans and natural convection can generate the desired distribution of cooling airflow. © 2020, Springer Nature Singapore Pte Ltd.

关键词 ：

Energy efficiency Energy efficiency Temperature Temperature Computational fluid dynamics Computational fluid dynamics Carbon dioxide Carbon dioxide Green computing Green computing Energy utilization Energy utilization Cooling systems Cooling systems Natural convection Natural convection Thermoelectric equipment Thermoelectric equipment Air conditioning Air conditioning Cooling Cooling

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GB/T 7714 Zhang, Weirong , Li, Hongye , Bai, Yifei et al. Optimization of Cooling Airflow in Data Center by CFD Analysis in a New Energy Efficient Cooling System Using CO2 as Cooling Medium [C] . 2020 : 1175-1185 .
MLA Zhang, Weirong et al. "Optimization of Cooling Airflow in Data Center by CFD Analysis in a New Energy Efficient Cooling System Using CO2 as Cooling Medium" . (2020) : 1175-1185 .
APA Zhang, Weirong , Li, Hongye , Bai, Yifei , Wang, Zhaofeng . Optimization of Cooling Airflow in Data Center by CFD Analysis in a New Energy Efficient Cooling System Using CO2 as Cooling Medium . (2020) : 1175-1185 .
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一种分户热计量方法和系统以及分户热计量的取费方法 incoPat
专利 | 2020-01-17 | CN202010051939.6
薛鹏 | 杨帆 | 张烨 | 廖俊华 | 谢静超 | 张伟荣 | 刘加平 展开
摘要&关键词 引用

摘要 ：

本发明涉及一种分户热计量方法和系统以及分户热计量的取费方法。本发明提供的分户热计量方法和系统，在进行实际用热的计算过程中考虑用户房屋中各种结构材料热工参数，根据热工参数来进一步得到用户实际用热总量，能够提高用户热量计算的精确性。并且，采用分户热计量的取费方法，依赖于所计算得到的用户实际用热总量，基于博弈论模型，来确定用户实际热费，以提高用户热费收取的准确性和合理性。

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GB/T 7714 薛鹏 , 杨帆 , 张烨 et al. 一种分户热计量方法和系统以及分户热计量的取费方法 : CN202010051939.6[P]. | 2020-01-17 .
MLA 薛鹏 et al. "一种分户热计量方法和系统以及分户热计量的取费方法" : CN202010051939.6. | 2020-01-17 .
APA 薛鹏 , 杨帆 , 张烨 , 廖俊华 , 谢静超 , 张伟荣 et al. 一种分户热计量方法和系统以及分户热计量的取费方法 : CN202010051939.6. | 2020-01-17 .
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