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学者姓名：张伟荣
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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
引用：
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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 . |
| 导入链接 | NoteExpress RIS BibTex |
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 ：
improved analytic hierarchy process improved analytic hierarchy process low-carbon community low-carbon community multi-level fuzzy comprehensive evaluation method multi-level fuzzy comprehensive evaluation method technical indicators technical indicators
引用：
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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) . |
| 导入链接 | NoteExpress RIS BibTex |
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
引用：
复制并粘贴一种已设定好的引用格式，或利用其中一个链接导入到文献管理软件中。
| 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 . |
| 导入链接 | NoteExpress RIS BibTex |
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