Research Of Technical Adaptability Of Exterior Window Of High Thermal Performance In Green Buildings In Severe Cold Area

The birth of green buildings has played an indispensable role in reducing building energy consumption.The buildings in Northeast China suffer serious energy loss in winter.The development of green building energy-saving technology in cold areas has a promoting effect on energy saving and emission reduction.In building energy consumption,the building energy consumption caused by heat loss of enclosure structure can reach more than 50%of the total energy consumption of building operation.Among them,the heat loss of external wall is about 60%?70%,the heat loss of doors and windows is about 20%?30%.Among many green building energy-saving technologies,window is an indispensable part of green building energy-saving technology.Therefore,it is of great significance to study the technical adaptability of high thermal performance windows for green buildings in cold regions.In this paper,the research on the technical adaptability of high thermal performance windows is placed in the background of green buildings in cold areas.On the basis of a large number of literature and research,the concepts of‘high thermal performance' and‘technical adaptability' are defined and elaborated.Secondly,combined with the concept of technical adaptability,the research direction and theoretical framework of the technical adaptability of high thermal performance windows of green buildings in cold areas are analyzed and determined from three dimension of comfort,thermal performance and economy.In this paper,a green building is selected as an example in the cold area,and the technical adaptability of the windows is tested and analyzed from the dimension of comfort.Through the comprehensive analysis of indoor environmental parameters detection,thermal defect detection and indoor environment questionnaire survey results,the building's external windows achieve the technical adaptability defined in this paper in terms of comfort.On the basis of this building,this paper continues to study the adaptability of high thermal performance window technology from the perspective of thermal performance and economy.Due to the limitation of objective conditions,this paper uses eQUEST energy consumption simulation software to study the single and combined influencing factors of thermal performance of windows under the condition that the energy consumption results meet the requirements of GB/T 51161-2016.The influence degree of each factor on energy consumption is compared,and 5 window schemes are put forward by using orthogonal test method.Based on the analysis of these schemes from the dimension of energy and economy,this paper presents the scheme of high thermal performance windows for green buildings in cold areas:6E+12A+6 and 6E+12A(argon)+6.Finally,based on BP neural network,this paper establishes a forecasting model of energy consumption of windows to predict energy consumption.The structure of BP neural network is studied and determined by using the software of matlab.A neural network with 2 hidden layers and 3 and 5 nodes is established.Then the learning and training process is determined,and the reliability of the network is verified.The results of energy consumption prediction can provide a reference for the selection of window in green buildings.