Professor Zhao Bin's group at Tsinghua University: China's urban and rural residential seepage air ventilation number of visualization platform V1.0 officially released
DATE:2024-09-10 10:30:49
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Research Overview
The number of air leakage represents the amount of air that leaks through the exterior envelope structure without mechanical ventilation, which is a parameter for measuring the airtightness of a house and greatly determines the load demand for heating and cooling of a building, the level of indoor air pollutants, and influences the energy consumption of heating, ventilation and air conditioning (HVAC) systems, the pollutant exposure of the indoor personnel, and the degree of durability of the envelope structure, among other aspects [1-3]. The greater the number of air infiltration and air exchange, the more outdoor pollutants will enter the room with the air, causing outdoor pollutant exposure of indoor personnel, and conversely, if indoor pollutants such as building materials and cooking fumes are present in the room, the smaller the number of air infiltration and air exchange, the more unfavorable it is for pollutants to be discharged, resulting in indoor pollutant exposure [4-6]. At the same time, air infiltration will increase the heating energy consumption during the heating season, a phenomenon that is particularly significant in cold and bitterly cold regions, where past studies have shown that the heat loss due to air infiltration accounts for 25% to 50% of the total heat load of the building [3]; and in hot summer and warm winter regions, the lack of fresh air caused by the low number of infiltration air exchanges needs to be compensated for by mechanical ventilation, and the energy consumption of the fans will cancel out or even exceed the energy saving effects of the high airtightness [7]. The energy consumption of fans will offset or even exceed the energy saving effect of high airtightness [7]. Therefore, the air infiltration rate is one of the most important basic parameters for design and analysis of the building environment, and obtaining the numerical distribution of air infiltration rate is instructive for us to reduce the exposure of indoor people to pollutants and the energy consumption of the building. Measurement and simulation are the two main means to obtain the air infiltration rate, considering that the climate conditions and building patterns in different regions of China lead to differences in the air infiltration rate results, and that it takes a lot of manpower and resources to obtain the national results using the measurement method, which can not be accomplished in a short period of time. Therefore, the research group of Prof. Zhao Bin at Tsinghua University and the research group of Associate Prof. Shi Shanshan at Nanjing University have conducted a study of the distribution of air infiltration rate in houses in different provinces of China based on the results obtained from the literature review and the field research. Therefore, Professor Zhao Bin's group at Tsinghua University and Associate Professor Shi Shanshan's group at Nanjing University simulated the residential houses in each province of China by urban and rural areas based on the samples obtained from the literature and field research.
In addition, this website is designed to facilitate the sharing of air infiltration and ventilation (AIV) results of houses across China, and supports the uploading of individual research results by users to expand the data. The specific operation is to enter the data upload page, click the import button, select the data source as city or village, organize the data according to the sample template and upload it, and then update the homepage results after the data review and approval. At the same time, the information of the data provider will be included in the platform profile, and the reference list will be updated according to the provider's request, and become a co-contributor to the platform.
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The number of air leakage represents the amount of air that leaks through the exterior envelope structure without mechanical ventilation, which is a parameter for measuring the airtightness of a house and greatly determines the load demand for heating and cooling of a building, the level of indoor air pollutants, and influences the energy consumption of heating, ventilation and air conditioning (HVAC) systems, the pollutant exposure of the indoor personnel, and the degree of durability of the envelope structure, among other aspects [1-3]. The greater the number of air infiltration and air exchange, the more outdoor pollutants will enter the room with the air, causing outdoor pollutant exposure of indoor personnel, and conversely, if indoor pollutants such as building materials and cooking fumes are present in the room, the smaller the number of air infiltration and air exchange, the more unfavorable it is for pollutants to be discharged, resulting in indoor pollutant exposure [4-6]. At the same time, air infiltration will increase the heating energy consumption during the heating season, a phenomenon that is particularly significant in cold and bitterly cold regions, where past studies have shown that the heat loss due to air infiltration accounts for 25% to 50% of the total heat load of the building [3]; and in hot summer and warm winter regions, the lack of fresh air caused by the low number of infiltration air exchanges needs to be compensated for by mechanical ventilation, and the energy consumption of the fans will cancel out or even exceed the energy saving effects of the high airtightness [7]. The energy consumption of fans will offset or even exceed the energy saving effect of high airtightness [7]. Therefore, the air infiltration rate is one of the most important basic parameters for design and analysis of the building environment, and obtaining the numerical distribution of air infiltration rate is instructive for us to reduce the exposure of indoor people to pollutants and the energy consumption of the building. Measurement and simulation are the two main means to obtain the air infiltration rate, considering that the climate conditions and building patterns in different regions of China lead to differences in the air infiltration rate results, and that it takes a lot of manpower and resources to obtain the national results using the measurement method, which can not be accomplished in a short period of time. Therefore, the research group of Prof. Zhao Bin at Tsinghua University and the research group of Associate Prof. Shi Shanshan at Nanjing University have conducted a study of the distribution of air infiltration rate in houses in different provinces of China based on the results obtained from the literature review and the field research. Therefore, Professor Zhao Bin's group at Tsinghua University and Associate Professor Shi Shanshan's group at Nanjing University simulated the residential houses in each province of China by urban and rural areas based on the samples obtained from the literature and field research.
In addition, this website is designed to facilitate the sharing of air infiltration and ventilation (AIV) results of houses across China, and supports the uploading of individual research results by users to expand the data. The specific operation is to enter the data upload page, click the import button, select the data source as city or village, organize the data according to the sample template and upload it, and then update the homepage results after the data review and approval. At the same time, the information of the data provider will be included in the platform profile, and the reference list will be updated according to the provider's request, and become a co-contributor to the platform.