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学者姓名:刘加平
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Abstract :
Airport terminals provide a safe, convenient and comfortable environment for passengers. Over 50% of energy in terminals was consumed by the HVAC system. The number of passengers and their constant flow distribution in the airport is an important consideration from the operational perspective to influence the energy consumption. This paper proposed a spatiotemporal passenger distribution model. In this model, a terminal was divided into 13 different zones along the departure or arrival process, and the passenger variation for each day was described for each zone. Over a year, 12 monthly average passenger flow values were adopted instead of the peak hour passenger flow to represent the yearly passenger flow distribution. The model was validated by the operation data of the Nanning Airport and compared the data against the validated people movement model of passengers' flow profile in each zone and occupant densities. The model was then input into an energy simulation software to verify the impact of the passenger flow on energy consumption. Based on the spatiotemporal passenger distribution model, the annual cooling consumption could be reduced by 17.14% compared to results based on the traditional passenger flow calculation method which has a simple assumption of daily constant passenger flow.
Keyword :
operation data operation data energy simulation energy simulation anylogic simulation anylogic simulation airport terminal airport terminal spatiotemporal passenger distribution model spatiotemporal passenger distribution model
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GB/T 7714 | Gu, Xianliang , Xie, Jingchao , Huang, Chengyang et al. A spatiotemporal passenger distribution model for airport terminal energy simulation [J]. | INDOOR AND BUILT ENVIRONMENT , 2022 , 31 (7) : 1834-1857 . |
MLA | Gu, Xianliang et al. "A spatiotemporal passenger distribution model for airport terminal energy simulation" . | INDOOR AND BUILT ENVIRONMENT 31 . 7 (2022) : 1834-1857 . |
APA | Gu, Xianliang , Xie, Jingchao , Huang, Chengyang , Liu, Jiaping . A spatiotemporal passenger distribution model for airport terminal energy simulation . | INDOOR AND BUILT ENVIRONMENT , 2022 , 31 (7) , 1834-1857 . |
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As the essential infrastructure and one of the transportation centers, most cities now have more than one airport. Mass constructions of sustainable airports play an important role for sustainable cities and societies. The energy consumption of airport terminals poses a major challenge to the carbon neutrality policy due to the high energy demand and round-the-clock operation of these terminals. One major direction for sustainable future is to make buildings smart in terms of energy use and management. One of the solutions is to refine the energy supply according to needs, which calls for knowledge of the locations and dwell duration of passengers in the airport. With this background, this study established a spatiotemporal passenger distribution model to describe the transient passenger distribution in 14 characteristic zones of an airport terminal. After validation against airport operation data and results from passenger flow simulation software AnyLogic, the passenger flows calculated by the spatiotemporal model were inputted into the energy simulation software IES as well as the traditional calculation method to compare the energy consumptions. Results showed that the difference of the cooling and heating loads from the two models was 7%-148.9% in different zones. And the designed annual cooling and heating consumption of the terminal given by the proposed passenger distribution model was 11.3% lower. The proposed model could potentially optimize the HVAC system of future airport design.
Keyword :
AnyLogic simulation AnyLogic simulation Passenger flow Passenger flow Airport terminal Airport terminal Spatiotemporal passenger distribution model Spatiotemporal passenger distribution model Energy simulation Energy simulation
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GB/T 7714 | Gu, Xianliang , Xie, Jingchao , Huang, Chengyang et al. Prediction of the spatiotemporal passenger distribution of a large airport terminal and its impact on energy simulation [J]. | SUSTAINABLE CITIES AND SOCIETY , 2022 , 78 . |
MLA | Gu, Xianliang et al. "Prediction of the spatiotemporal passenger distribution of a large airport terminal and its impact on energy simulation" . | SUSTAINABLE CITIES AND SOCIETY 78 (2022) . |
APA | Gu, Xianliang , Xie, Jingchao , Huang, Chengyang , Ma, Kai , Liu, Jiaping . Prediction of the spatiotemporal passenger distribution of a large airport terminal and its impact on energy simulation . | SUSTAINABLE CITIES AND SOCIETY , 2022 , 78 . |
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The current scheme of building climate zones in China generally assumes that building climate zones of island cities are identical to adjacent land stations. Consequently, building design strategies for island buildings usually refer to those developed for inland cities. This approach has to some extent hindered the energy-saving design and green development of island buildings in China.This research takes a first step on this issue by defining the building climate zones of 36 marine islands over China marine area using two-stage zoning methodology adopted by current building climate zoning standard (GB50178-1993). The meteorological data used for analysis was obtained from the National Climate Center of China over the 30-year period from 1985 to 2014. As comparison, 40 coastal stations which are adjacent to the investigated marine islands were also included in this study. Subsequently a more objective technique-cluster analysis was operated as an effective supplement to discover the climate characteristics among different observations. The results of both methodologies consistently show that among the 36 islands investigated, the majority of islands located in northern and eastern marine area belong to the same climate zones as their adjacent coastal cities. However, island cities in southern marine area cannot be assigned to any current climate zone, which was demonstrated by its distinctive climate features different from any other sites investigated through cluster analysis as well as different energy use patterns. Thus a new zone was defined to supplement the current building climate zoning scheme to cover marine area of China. (C) 2021 Higher Education Press Limited Company. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
Keyword :
Building energy consumption Building energy consumption Building climate zoning Building climate zoning Clustering analysis Clustering analysis Climate characteristics Climate characteristics Two-stage zoning method Two-stage zoning method Marine islands Marine islands
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GB/T 7714 | Hao, Ziyang , Zhang, Xiaojing , Xie, Jingchao et al. Building climate zones of major marine islands in China defined using two-stage zoning method and clustering analysis [J]. | FRONTIERS OF ARCHITECTURAL RESEARCH , 2021 , 10 (1) : 134-147 . |
MLA | Hao, Ziyang et al. "Building climate zones of major marine islands in China defined using two-stage zoning method and clustering analysis" . | FRONTIERS OF ARCHITECTURAL RESEARCH 10 . 1 (2021) : 134-147 . |
APA | Hao, Ziyang , Zhang, Xiaojing , Xie, Jingchao , Wang, Jianping , Liu, Jiaping . Building climate zones of major marine islands in China defined using two-stage zoning method and clustering analysis . | FRONTIERS OF ARCHITECTURAL RESEARCH , 2021 , 10 (1) , 134-147 . |
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Background: Coronavirus disease 2019 (COVID-19) is primarily a respiratory disease that has become a global pandemic. Close contact plays an important role in infection spread, while fomite may also be a possible transmission route. Research during the COVID-19 pandemic has identified long-range airborne transmission as one of the important transmission routes although lack solid evidence. Methods: We examined video data related to a restaurant associated COVID-19 outbreak in Guangzhou. We observed more than 40,000 surface touches and 13,00 0 episodes of close contacts in the restaurant during the entire lunch duration. These data allowed us to analyse infection risk via both the fomite and close contact routes. Results: There is no significant correlation between the infection risk via both fomite and close contact routes among those who were not family members of the index case. We can thus rule out virus transmission via fomite contact and interpersonal close contact routes in the Guangzhou restaurant outbreak. The absence of a fomite route agrees with the COVID-19 literature. Conclusions: These results provide indirect evidence for the long-range airborne route dominating SARSCoV-2 transmission in the restaurant. We note that the restaurant was poorly ventilated, allowing for increasing airborne SARS-CoV-2 concentration. (C) 2021 The British Infection Association. Published by Elsevier Ltd. All rights reserved.
Keyword :
Airborne Airborne Fomite Fomite Covid-19 Covid-19 Human behavior Human behavior Close contact Close contact
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GB/T 7714 | Zhang, Nan , Chen, Xuguang , Jia, Wei et al. Y Evidence for lack of transmission by close contact and surface touch in a restaurant outbreak of COVID-19 [J]. | JOURNAL OF INFECTION , 2021 , 83 (2) : 207-216 . |
MLA | Zhang, Nan et al. "Y Evidence for lack of transmission by close contact and surface touch in a restaurant outbreak of COVID-19" . | JOURNAL OF INFECTION 83 . 2 (2021) : 207-216 . |
APA | Zhang, Nan , Chen, Xuguang , Jia, Wei , Jin, Tianyi , Xiao, Shenglan , Chen, Wenzhao et al. Y Evidence for lack of transmission by close contact and surface touch in a restaurant outbreak of COVID-19 . | JOURNAL OF INFECTION , 2021 , 83 (2) , 207-216 . |
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Abstract :
办公建筑LED照明空间的光环境提升需求研究
Keyword :
办公建筑 办公建筑 光环境提升 光环境提升 生理等效照度 生理等效照度 LED LED 室内光环境 室内光环境
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GB/T 7714 | 梁青璇 , 陈雅倩 , 罗涛 et al. 办公建筑LED照明空间的光环境提升需求研究 [J]. | 梁青璇 , 2021 , 37 (4) : 19-25,32 . |
MLA | 梁青璇 et al. "办公建筑LED照明空间的光环境提升需求研究" . | 梁青璇 37 . 4 (2021) : 19-25,32 . |
APA | 梁青璇 , 陈雅倩 , 罗涛 , 夏麟 , 叶谋杰 , 薛鹏 et al. 办公建筑LED照明空间的光环境提升需求研究 . | 梁青璇 , 2021 , 37 (4) , 19-25,32 . |
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To analyze the extent of fire risk in historic Chinese wooden structure buildings, the fire load characteristics of a historic temple in Beijing were studied. In this paper, thermogravimetric and cone calorimeter experiments were conducted on raw wood collected from historic Chinese buildings. Based on the experiment results, temple fire experiments were conducted in a full-scale model temple with high fire load in a historic Chinese wooden structure temple. FDS software was used to explore the characteristics of fire growth and spread in the initial fire. The results demonstrated that the pyrolysis kinetics parameters of historical wood were smaller than those of fresh wood. The reference temperature at 150 degrees C with wood density of 410 kg/m(3) in wooden structure building fire simulation was relatively credible. Flashovers are more likely to occur in historic wooden structure buildings of lower wood density and pyrolysis parameters.
Keyword :
Historic Chinese Temple Historic Chinese Temple wooden structure wooden structure FDS FDS fire spread fire spread fire risk fire risk pyrolysis parameters pyrolysis parameters
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GB/T 7714 | Huai, Chaoping , Xie, Jingchao , Liu, Fang et al. Experimental and Numerical Analysis of Fire Risk in Historic Chinese Temples: A Case in Beijing [J]. | INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE , 2021 , 16 (12) : 1844-1858 . |
MLA | Huai, Chaoping et al. "Experimental and Numerical Analysis of Fire Risk in Historic Chinese Temples: A Case in Beijing" . | INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE 16 . 12 (2021) : 1844-1858 . |
APA | Huai, Chaoping , Xie, Jingchao , Liu, Fang , Du, Jiangtao , Chow, David H. C. , Liu, Jiaping . Experimental and Numerical Analysis of Fire Risk in Historic Chinese Temples: A Case in Beijing . | INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE , 2021 , 16 (12) , 1844-1858 . |
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Accurate evaluation of the moisture effect on the thermal performance of building envelopes is essential to facilitate energy-saving building design in hot and humid climate areas. However, in extremely hot and humid climate areas, the coupled effect between the heat and moisture transfer is mostly neglected and a method to evaluate the moisture effect on the thermal performance has never been proposed. Thus, in this paper, a model is developed to simulate the coupled heat and moisture transfer inside an exterior wall subjected to extremely hot and humid climate. This model is validated using three benchmark tests and shows high accuracy. Based on the model, the effect of the moisture on the thermal performance of exterior walls in the tropical islands is firstly investigated quantitatively. The results show that moisture can substantially affect the thermal performance of an exterior wall. Neglecting the moisture effect, the total load is underestimated by 6.04-7.33%. Considering the moisture effect, the decrement factor is improved from 26.27-38.28 to 79.40-114.41 and the time lag is prolonged by 71-79 min. Finally, to clarify the spatiotemporal dynamic pattern of the moisture effect, a comparison between the four tropical islands and the continental city is performed.
Keyword :
Dynamic thermal response Dynamic thermal response Conduction load Conduction load Extremely hot and humid climate Extremely hot and humid climate Thermal performance Thermal performance Coupled heat and moisture transfer Coupled heat and moisture transfer
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GB/T 7714 | Li, Fuxiang , Li, Qiong , Meng, Qinglin et al. Effect of moisture on the thermal performance of exterior walls in the tropical islands of the South China Sea [J]. | APPLIED THERMAL ENGINEERING , 2021 , 186 . |
MLA | Li, Fuxiang et al. "Effect of moisture on the thermal performance of exterior walls in the tropical islands of the South China Sea" . | APPLIED THERMAL ENGINEERING 186 (2021) . |
APA | Li, Fuxiang , Li, Qiong , Meng, Qinglin , Liu, Jingyi , Mao, Huijun , Xie, Jingchao et al. Effect of moisture on the thermal performance of exterior walls in the tropical islands of the South China Sea . | APPLIED THERMAL ENGINEERING , 2021 , 186 . |
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Daylight refers to a free and valuable resource exhibiting photometric and radiometric features, and the physical parameters commonly used to represent its features are irradiance and illuminance. They are both obtained by the spectral power distribution (SPD) of global irradiance, demonstrating that values noticeably affect indoor thermal and luminous environments. Nevertheless, outdoor particulate matter (PM) significantly affects SPD conditions, and two relative spectral notions, i.e., percentage of spectral irradiance (PSIr) and percentage of spectral illuminance (PSIl), were proposed to study the effects of PM10 concentrations in radiometry and photometry with a field measurement, Beijing. As a result, the strong impact of PM10 on PSIr/ PSIl can be noticed in the range (380 to 540 nm) (P-value 10 and PSIr/ PSIl based on regression analysis. With this wavelength, PSIr varies from 0.29 to 0.25%, and PSIl ranges from 0.48 to 0.42% with the increase of PM10 concentrations from 0.01 to 0.098 mg/m3. With the verification of the model, several bands were further analyzed to comprehensively verify the monotonic correlations, and the band ranging 480 ~ 520 nm were reasonably proved that PSIr/PSIl and PM10 can be well indicated by each other. As influenced by the complexity of spectral transmittance through the glazing, the mutual characterization between solar spectrum and particulate matters can contribute to the building energy-efficient design and develop indoor thermal and luminous environment research in the future. © 2020 International Solar Energy Society
Keyword :
Radiometry Radiometry Lighting Lighting Regression analysis Regression analysis Iridium compounds Iridium compounds Photometry Photometry Energy efficiency Energy efficiency
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GB/T 7714 | Ye, Sheng , Xue, Peng , Fang, Wanying et al. Quantitative effects of PM concentrations on spectral distribution of global normal irradiance [J]. | Solar Energy , 2021 , 220 : 1099-1108 . |
MLA | Ye, Sheng et al. "Quantitative effects of PM concentrations on spectral distribution of global normal irradiance" . | Solar Energy 220 (2021) : 1099-1108 . |
APA | Ye, Sheng , Xue, Peng , Fang, Wanying , Dai, Qi , Peng, Jinqing , Sun, Yuying et al. Quantitative effects of PM concentrations on spectral distribution of global normal irradiance . | Solar Energy , 2021 , 220 , 1099-1108 . |
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Indoor fungi, as an important group of biological contaminants, are recognized as risk factors for human health. However, limited data are currently available on fungal pollution in houses of China. In this study, fungi in air, in settled dust and on surfaces in urban houses with children are determined in six major cities of China. Aspergillus spp., Penicillium spp. and Cladosporium spp. are the most frequent genera and are the dominant genera in air. The concentrations of these three fungi account for an average percentage of 87% and 83% of the total concentration of airborne fungi in winter and summer. Unlike airborne fungi, there is no particularly obvious dominant fungal genus in settled dusts and on interior surfaces. The average concentration of total airborne fungi in houses in summer is significantly higher (p < 0.001) than that in winter. In terms of total concentration of airborne fungi, indoor sources significantly contribute to indoor airborne fungi in winter, whereas the contribution of outdoor sources is relatively greater in summer. Average concentration of airborne fungi in northern houses is higher than that in southern houses in both summer and winter. Fungal concentrations in air, in settled dust and on interior surface do not show a strong relationship (r < 0.5), thus air, dust and surface sampling may be all essential to evaluate indoor fungal exposure. The findings of this study are favorable for understanding fungal exposure in houses and can provide bases for establishing control strategies for indoor fungi in China.
Keyword :
Microorganism Microorganism Fungi Fungi Houses Houses Children Children Indoor environment Indoor environment China China
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GB/T 7714 | Fan, Guangtao , Xie, Jingchao , Yoshino, Hiroshi et al. Investigation of fungal contamination in urban houses with children in six major Chinese cities: Genus and concentration characteristics [J]. | BUILDING AND ENVIRONMENT , 2021 , 205 . |
MLA | Fan, Guangtao et al. "Investigation of fungal contamination in urban houses with children in six major Chinese cities: Genus and concentration characteristics" . | BUILDING AND ENVIRONMENT 205 (2021) . |
APA | Fan, Guangtao , Xie, Jingchao , Yoshino, Hiroshi , Yanagi, U. , Zhang, Huibo , Li, Zhenhai et al. Investigation of fungal contamination in urban houses with children in six major Chinese cities: Genus and concentration characteristics . | BUILDING AND ENVIRONMENT , 2021 , 205 . |
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Abstract :
Airport terminals have much higher average energy consumptions than normal public buildings. This is caused by their complicated space features and operation characteristics. In China, large modern airports were built from around 2004, which means our understanding to the real energy performance of these buildings lag behind the design practice and with feedback from operation experience, both design or operation of modern airports shall be improved in terms of energy efficiency. Nanning Airport provided an excellent example for that purpose, with comprehensive operation data collected during 2016-2019. The data were firstly presented in this paper, followed by clustering and correlation analysis to establish the correlation among potential factors. From the analysis, the major factors influencing energy consumption were identified as passenger flow, meteorological parameters and supply fan frequency. Regression analysis was performed based on monthly data and equations were provided for the calculation of the terminal total energy consumption and its three sub components according to the input parameters of passenger flow data and meteorological data. These equations provide guidance on energy supply for the operation of this airport and more importantly can be used as valuable reference when designing airports in similar conditions.
Keyword :
Airport terminal Airport terminal Energy consumption Energy consumption Operation data Operation data Influencing factors Influencing factors Passenger Passenger
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GB/T 7714 | Gu Xianliang , Xie Jingchao , Luo Zhiwen et al. Analysis to energy consumption characteristics and influencing factors of terminal building based on airport operating data [J]. | SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS , 2021 , 44 . |
MLA | Gu Xianliang et al. "Analysis to energy consumption characteristics and influencing factors of terminal building based on airport operating data" . | SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 44 (2021) . |
APA | Gu Xianliang , Xie Jingchao , Luo Zhiwen , Liu Jiaping . Analysis to energy consumption characteristics and influencing factors of terminal building based on airport operating data . | SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS , 2021 , 44 . |
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