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学者姓名：张伟荣
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摘要 ：
In this paper, we present a comprehensive optimization framework that identifies renovation plans to minimize half-life cycle carbon emissions, investment payback period, and indoor discomfort hours. The framework consists of four stages. First, relevant data were collected, building models were established, and the renovation scope and preliminary parameters were determined. Second, a sensitivity analysis of the initial parameter set was conducted, and important parameters were selected and input into a back-propagation neural network model for prediction. Finally, an optimal renovation plan was obtained through multi-objective optimization and the technique for order of preference by similarity to the ideal solution (TOPSIS) decision-making. To illustrate the framework's feasibility, it was applied to a building as an example. Remarkably, carbon emissions were reduced by 82.2 %, and zero carbon was achieved during the half-life cycle. Moreover, this achievement resulted in a relatively swift payback period of 3.9 years, coupled with a commendable 30 % decrease in indoor discomfort hours. Hence, the framework is effective in optimizing building renovation objectives, yielding a more harmonious and ideal building renovation strategy, and can be widely utilized to enhance building performance.
关键词 ：
Existing building renovation Existing building renovation Multi-objective optimization Multi-objective optimization Half-life cycle carbon emissions Half-life cycle carbon emissions Thermal comfort Thermal comfort Investment payback period Investment payback period
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| GB/T 7714 | Zhan, Xiaoxiang , Zhang, Weirong , Chen, Ruijun et al. Non-dominated sorting genetic algorithm-II: A multi-objective optimization method for building renovations with half-life cycle and economic costs [J]. | BUILDING AND ENVIRONMENT , 2024 , 267 . |
| MLA | Zhan, Xiaoxiang et al. "Non-dominated sorting genetic algorithm-II: A multi-objective optimization method for building renovations with half-life cycle and economic costs" . | BUILDING AND ENVIRONMENT 267 (2024) . |
| APA | Zhan, Xiaoxiang , Zhang, Weirong , Chen, Ruijun , Bai, Yifei , Wang, Jingjing , Deng, Gaofeng . Non-dominated sorting genetic algorithm-II: A multi-objective optimization method for building renovations with half-life cycle and economic costs . | BUILDING AND ENVIRONMENT , 2024 , 267 . |
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摘要 ：
The increasingly frequent heatwaves caused by global warming indicate that more energy consumption is required to maintain individuals' thermal comfort and health. Understanding how to utilize local conditioning for optimizing conditioning devices and creating a comfortable environment is crucial. Due to variations in individuals' adaptability to their surroundings, people from different climatic zones exhibit different needs for environmental conditioning. Current research findings in built environments have not adequately explained how individuals in various climatic zones use local conditioning to meet these diverse thermal needs. Therefore, it is highly important to conduct quantitative research on individuals' willingness to use local conditioning and their preferences across different climatic zones. To address this issue, a retrospective survey of 2,247 participants across five climate zones in China was conducted over a two-month period. The results revealed that many participants chose to use local conditioning to further improve thermal comfort, even if they initially felt comfortable. Participants from the severe cold and cold zones preferred water-cooled fans and floor fans, whereas floor fans were the preferred choice in other zones. Price and convenience were the main factors considered when selecting local conditioning devices (average composite score > 7). Differences in the methods, duration, parameter settings, placement of local conditioning, and regulated body parts varied among participants from the five climate zones. These results aid in improving our understanding of thermal comfort and health in high-temperature environments during summer.
关键词 ：
Built environment Built environment Climate zone Climate zone Local conditioning Local conditioning Heatwave Heatwave Thermal comfort Thermal comfort
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| GB/T 7714 | Yang, Zhen , Zhang, Weirong , Gao, Wei et al. Improving thermal comfort using personalized local conditioning: A large-scale retrospective questionnaire survey conducted during a heatwave in China [J]. | SUSTAINABLE CITIES AND SOCIETY , 2024 , 117 . |
| MLA | Yang, Zhen et al. "Improving thermal comfort using personalized local conditioning: A large-scale retrospective questionnaire survey conducted during a heatwave in China" . | SUSTAINABLE CITIES AND SOCIETY 117 (2024) . |
| APA | Yang, Zhen , Zhang, Weirong , Gao, Wei , Li, Rongying . Improving thermal comfort using personalized local conditioning: A large-scale retrospective questionnaire survey conducted during a heatwave in China . | SUSTAINABLE CITIES AND SOCIETY , 2024 , 117 . |
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摘要 ：
Classrooms pose a huge risk from the cross-infection of respiratory infections. However, quantitative research on the combined effect of the location of the infected individual and exhalation activities on the diffusion and dissemination of contaminants in a classroom is lacking. We elucidated the effects of spatial distribution and exhalation modes of infected individuals, especially when they talk and breath nasally, on dissemination of contaminants under different ventilation modes: mixing (MV) and stratum ventilation (SV), using computational fluid dynamics, and calculated the contaminant removal efficiency (CRE) and personnel infection time (t(in)). Infected individuals' exhalation modes and spatial distribution significantly affected indoor exposure risk. Under SV, risk was low (t(in)> 0.75 h) when infected individuals talk, but significantly higher (t(in)<= 0.75 h) during nasal exhalation. In MV, risk was lower (t(in) > 0.75 h) when infected individuals were near the outlet, but increased (t(in) <= 0.75 h) when they were further away. CRE revealed that MV was more sensitive to location changes (12.4- and 5.8-fold) than to exhalation mode changes (2.1- and 0.99-fold). Conversely, SV was more sensitive to exhalation mode changes (5.7- and 2.8-fold) than to location changes (3.7- and 1.8-fold), emphasizing the importance of the distribution of infected individuals and exhalation modes in classroom ventilation design.
关键词 ：
Location of infected person Location of infected person Contaminant transmission Contaminant transmission Exhalation modes Exhalation modes CFD CFD
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| GB/T 7714 | Qing, Zhixi , Zhang, Weirong , Zhang, Weijia et al. Effects of exhalation modes and spatial distribution of an infected person on contaminant transmission in a classroom [J]. | ENERGY AND BUILDINGS , 2024 , 321 . |
| MLA | Qing, Zhixi et al. "Effects of exhalation modes and spatial distribution of an infected person on contaminant transmission in a classroom" . | ENERGY AND BUILDINGS 321 (2024) . |
| APA | Qing, Zhixi , Zhang, Weirong , Zhang, Weijia , Zhang, Haotian , Xuan, Yingli . Effects of exhalation modes and spatial distribution of an infected person on contaminant transmission in a classroom . | ENERGY AND BUILDINGS , 2024 , 321 . |
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摘要 ：
Indoor thermal comfort is essential as it improves living standards. Activity scenarios of personnel are in the process of a dynamic change. In most interior spaces with fixed working stations, people directly blown by cold air have a poor thermal experience. Therefore, to meet the differentiated environmental demands, one challenge is to explore novel ventilation strategies to satisfy the changing environmental needs. An adaptive strategy, multi-vent module-based adaptive ventilation (MAV), was designed to increase the adjustability of air distribution and better adapt to variable demands. A classroom was chosen as a representative model with multiple scenarios during its use. Simulations were conducted to verify the three-level control effect of MAV on improving the thermal environment. The results revealed that different vent solutions create different airflow patterns and thermal environments, which can be matched to the scenarios. The scale for ventilation efficiency No. 4, which measured the influence scope of supply air, was used to evaluate the zoning division control in MAV. The space under the charge of a concerned MAV module showed a higher SVE4 than that at other zones. This implied that the zoning division can be effectively implemented. Thermal comfort measured using the air diffusion performance index, predicted mean vote, and draught rate showed that the application of MAV is better than that of the fixed MV mode, and the discomfort experienced when exposed to cold air can be avoided. It is believed that these results will help extend the research of adaptive ventilation strategies.
关键词 ：
thermal comfort thermal comfort adaptive ventilation adaptive ventilation local thermal environment local thermal environment CFD CFD dynamic airflow dynamic airflow
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| GB/T 7714 | Zhang, Weijia , Zhang, Weirong , Zhang, Haotian et al. Effective improvement of a local thermal environment using multi-vent module-based adaptive ventilation [J]. | BUILDING SIMULATION , 2023 , 16 (7) : 1115-1134 . |
| MLA | Zhang, Weijia et al. "Effective improvement of a local thermal environment using multi-vent module-based adaptive ventilation" . | BUILDING SIMULATION 16 . 7 (2023) : 1115-1134 . |
| APA | Zhang, Weijia , Zhang, Weirong , Zhang, Haotian , Xuan, Yingli , Liu, Xuebiao . Effective improvement of a local thermal environment using multi-vent module-based adaptive ventilation . | BUILDING SIMULATION , 2023 , 16 (7) , 1115-1134 . |
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摘要 ：
Sensors are critical components of heating, ventilation, and air-conditioning systems. Sensor faults can impact control regulations, resulting in an uncomfortable indoor environment and energy wastage. To detect and identify sensor faults quickly, this study proposes an enhanced principal component analysis (PCA) method using the Savitzky-Golay (SG) filter and density-based spatial clustering of applications with noise (DBSCAN) algo-rithm. First, the DBSCAN algorithm is used to automatically divide the dataset into sub-datasets with different working conditions to reduce the interference information and concentrate the information of each training set. Then, each sub-dataset is smoothed using the SG algorithm to reduce the effects of data fluctuations. The pro-cessed dataset is used to build a sub-PCA model that ultimately identifies and locates faults. The proposed strategy is validated using field operating data for 20 air-handling unit (AHU) systems, as obtained from a large commercial building. The fault detection performances of multiple strategies are compared and analysed under different degrees of bias in single AHU and multiple AHU systems. The verification results show that the pro-posed DBSCAN-SG-PCA model offers significant improvements in fault detection accuracy and fault identifica-tion sensitivity over the conventional PCA method. Compared with the SG-PCA model, the proposed model reduces the amount of data required for fault detection by an average of 13.7%, and the Youden index is increased by an average of 0.21. Furthermore, the fault detection accuracy of the proposed model is +/- 0.7 degrees C.
关键词 ：
Fault detection and diagnosis Fault detection and diagnosis Savitzky-Golay filter Savitzky-Golay filter Air-handling unit Air-handling unit Principal component analysis Principal component analysis Sensor fault Sensor fault Clustering Clustering
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| GB/T 7714 | Wen, Shuqing , Zhang, Weirong , Sun, Yifu et al. An enhanced principal component analysis method with Savitzky-Golay filter and clustering algorithm for sensor fault detection and diagnosis [J]. | APPLIED ENERGY , 2023 , 337 . |
| MLA | Wen, Shuqing et al. "An enhanced principal component analysis method with Savitzky-Golay filter and clustering algorithm for sensor fault detection and diagnosis" . | APPLIED ENERGY 337 (2023) . |
| APA | Wen, Shuqing , Zhang, Weirong , Sun, Yifu , Li, Zhenxi , Huang, Boju , Bian, Shouguo et al. An enhanced principal component analysis method with Savitzky-Golay filter and clustering algorithm for sensor fault detection and diagnosis . | APPLIED ENERGY , 2023 , 337 . |
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摘要 ：
Nonuniform indoor temperature distributions have been widely introduced due to the increasing concerns brought about by the trade-off between building energy consumption and thermal comfort. Related to this, obtaining real-time indoor temperature field is crucial for control and regulation. Previously, a rapid temperature prediction algorithm based on the contribution ratio of indoor climate (CRI) and sensor information was pro-posed. Compared with fixed sensors, mobile sensors have better moving flexibilities and higher prediction ac-curacies. Given that considerable data can be obtained from one sensor, the chosen mobile sensor location has a strong correlation with the prediction accuracy. However, only a few studies have investigated the impact of the sensor location. Thus, this study aimed to determine the optimal mobile sensor location for improving prediction accuracy using the proposed algorithm. Two differently scaled rooms were numerically built, and 1.2 m high points were set as the selected locations. After experimental validation of the simulation results, three factors (moving path, supply/return air, and air velocity) were investigated to determine their effects on prediction accuracy. The results showed that the air velocity was the only significantly impactful factor. Furthermore, two principles of choosing location were proposed: (1) when the percentage of dominant velocity is high, all points should have one identical dominant direction, and (2) when the percentage of dominant velocity is low, points should have a similar actual direction. These principles were verified in both models with a prediction accuracy greater than 85%.
关键词 ：
return air return air CFD CFD Contribution ratio of indoor climate (CRI) Contribution ratio of indoor climate (CRI) Moving path Moving path Supply Supply Indoor temperature prediction Indoor temperature prediction Air velocity Air velocity
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| GB/T 7714 | Zang, Zihan , Zhang, Weirong , Deng, Gaofeng . Study on choosing mobile sensor location to improve the prediction accuracy of indoor temperature distribution [J]. | BUILDING AND ENVIRONMENT , 2023 , 240 . |
| MLA | Zang, Zihan et al. "Study on choosing mobile sensor location to improve the prediction accuracy of indoor temperature distribution" . | BUILDING AND ENVIRONMENT 240 (2023) . |
| APA | Zang, Zihan , Zhang, Weirong , Deng, Gaofeng . Study on choosing mobile sensor location to improve the prediction accuracy of indoor temperature distribution . | BUILDING AND ENVIRONMENT , 2023 , 240 . |
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摘要 ：
Rapid prediction of indoor airborne contaminant distribution is crucial for controlling indoor air quality. Markov chain technology, which uses matrix multiplication, is computationally efficient in this field. The combination of computational fluid dynamics (CFD) with Markov chain technology has gained significant attention among researchers. The partitioning of the indoor zone directly affects the size and values of the transition matrix, which is the core of the Markov chain and impacts both the cost and accuracy of calculations. Although coarse matrix Markov chain models incur relatively lower computational costs, effective methods for state partitioning are lacking. This study proposes an improved method for non-uniform state partitioning based on velocity to enhance the computational accuracy of Markov chain models with coarse matrices. First, we used the airflow velocity field obtained by CFD simulation to divide the states and obtain non-uniform states. Subsequently, we obtained the transition matrix corresponding to non-uniform states and applied it to the Markov chain model for predictive calculation. We compared the predictive results of the non-uniform state-based Markov chain model with experimental and CFD simulation data, which showed that the model had a good predictive performance for transient contaminant transport and that the non-uniform state partitioning method improved predictive accuracy. Additionally, we discussed the effects of different numbers of states and time steps on computational accuracy.
关键词 ：
Computational fluid dynamics Computational fluid dynamics Markov chain model Markov chain model Non -uniform states Non -uniform states Real-time prediction Real-time prediction Contaminant transport Contaminant transport
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| GB/T 7714 | Ding, Xiaoxiao , Zhang, Haotian , Zhang, Weirong et al. Non-uniform state-based Markov chain model to improve the accuracy of transient contaminant transport prediction [J]. | BUILDING AND ENVIRONMENT , 2023 , 245 . |
| MLA | Ding, Xiaoxiao et al. "Non-uniform state-based Markov chain model to improve the accuracy of transient contaminant transport prediction" . | BUILDING AND ENVIRONMENT 245 (2023) . |
| APA | Ding, Xiaoxiao , Zhang, Haotian , Zhang, Weirong , Xuan, Yingli . Non-uniform state-based Markov chain model to improve the accuracy of transient contaminant transport prediction . | BUILDING AND ENVIRONMENT , 2023 , 245 . |
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摘要 ：
The outdated structures and heating devices in old residential buildings can no longer functionally meet the thermal needs of users and require reasonable supplementary measures to meet the demand. Personalized local heating, owing to its thermal comfort and energy-saving performance, is a good solution for addressing the thermal needs of occupants. The objective of this study was to examine the influence of personalized local heating on the thermal comfort of occupants in old residential buildings under low-temperature heating. A field study was conducted with 16 participants in typical old residential buildings under different conditions from January to February 2023. The findings revealed that all personalized local heating methods could increase the overall thermal sensation of participants at background temperatures of 16 degrees C and 19 degrees C, but only a few of them were effective in enhancing the participants' overall thermal comfort. Regardless of the chosen localized heating method, the participants' thermal acceptance vote varied over time. When using localized heating, there were differences in the body parts selected for heating among participants at 16 degrees C and 19 degrees C. The analysis showed that the corrective power of heating devices for human thermal comfort is related to the background environ-ment temperature, with stronger corrective power shown at lower temperatures. Furthermore, as long as the problem of uneven local heating was effectively resolved, radiant devices were the preferred environmental conditioning devices. This study provides important guidance, both for improving thermal comfort in old resi-dential buildings and for expanding the application of personalized local heating.
关键词 ：
Personal comfort system Personal comfort system Thermal comfort Thermal comfort Low -temperature environment Low -temperature environment Local heating Local heating Conditioning environment Conditioning environment
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| GB/T 7714 | Yang, Zhen , Zhang, Weirong , Liu, Hongkai et al. Field study of meeting thermal needs of occupants in old residential buildings in low-temperature environments using personalized local heating [J]. | BUILDING AND ENVIRONMENT , 2023 , 247 . |
| MLA | Yang, Zhen et al. "Field study of meeting thermal needs of occupants in old residential buildings in low-temperature environments using personalized local heating" . | BUILDING AND ENVIRONMENT 247 (2023) . |
| APA | Yang, Zhen , Zhang, Weirong , Liu, Hongkai , Zhang, Weijia , Qin, Mingyuan . Field study of meeting thermal needs of occupants in old residential buildings in low-temperature environments using personalized local heating . | BUILDING AND ENVIRONMENT , 2023 , 247 . |
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摘要 ：
The problems of continuous rise in global power consumption, gradual increase in the peak-valley difference of power systems, and continuous expansion of renewable energy penetration have caused the power system regulation to shift from the traditional supply side to demand side. Buildings have huge power consumption and great energy flexibility, making them one of the most important units on the demand side of a power system. This study performed a detailed review of 183 literatures on flexible energy resources. The review has been carried out from the supply and demand side and demand response strategy side. Based on the results of the analysis and discussion, we proposed seven general quantitative models of flexibility for commonly used flexible resources, which lays the foundation for the flexibility evaluation of the building electric energy flexible system (BEEFS) and implementation of demand response strategies. In addition, the optimization techniques commonly used in demand response strategies are analyzed to achieve different goals. The results show that the combination of these strategies and optimization techniques can achieve the goals of reducing operating costs (OCs) by 4%-42%, reducing peak power (PP) by 15%-96%, and improving renewable energy consumption rate (RECR) by 6%-70%. This study constructs an overall framework for the flexibility quantification of building electric energy systems, which can be further expanded in the future. In the process of interaction between the building and the grid, appropriate demand response strategies and optimization techniques need to be selected according to the types and characteristics of flexible resources to achieve the goals in the demand response process.
关键词 ：
Demand response strategies Demand response strategies Quantitative model Quantitative model Flexible energy system Flexible energy system Renewable energy Renewable energy Optimization techniques Optimization techniques
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| GB/T 7714 | Bai, Yifei , Zhang, Weirong , Yu, Tingjia et al. Flexibility quantification and enhancement of flexible electric energy systems in buildings [J]. | JOURNAL OF BUILDING ENGINEERING , 2023 , 68 . |
| MLA | Bai, Yifei et al. "Flexibility quantification and enhancement of flexible electric energy systems in buildings" . | JOURNAL OF BUILDING ENGINEERING 68 (2023) . |
| APA | Bai, Yifei , Zhang, Weirong , Yu, Tingjia , Wang, Jingjing , Deng, Gaofeng , Yan, Jinguang et al. Flexibility quantification and enhancement of flexible electric energy systems in buildings . | JOURNAL OF BUILDING ENGINEERING , 2023 , 68 . |
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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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