| By establishing a bottom-up building energy consumption model,it can effectively evaluate the energy saving effect of different energy saving technologies in designated urban buildings.Due to limited data,energy consumption simulation of urban buildings is generally based on typical energy consumption models of various types of buildings.Therefore,the establishment of a reasonable typical energy consumption model is helpful to understand the characteristics of building energy consumption,study the path and feasibility of urban agglomeration buildings to achieve zero energy consumption,and provide a basis for achieving the goal of"carbon neutrality"in 2060.Firstly,this paper takes shopping mall buildings in Changsha as the research object.Through literature research,field survey,baidu Street View map and Autonavi indoor map survey,Survey of 40 large shopping center in changsha city geometric parameters(including contour area,number of floors and high layer),window wall ratio,the proportion of main functions,and toward the periphery store depth and width of the corridor,winter and summer indoor temperature parameters of different functional partition set in transition seasons,palisade structure,related parameters of air conditioning systems,etc.,K-means algorithm is used to perform cluster analysis on hour-by-hour energy consumption to obtain the typical operating schedule of lighting and equipment.The survey results show that the average underground floor of the mall is a parking lot,the floor height is 4.7 meters,the window wall ratio is 0.35,of which clothing and accessories account for 33.4%,atrium corridor 20.9%,parking lot 17.1%,training office area 11.2%,catering area6.9%,supermarket 3.8%,cinema 3.8%.Children accounted for 2.9%.The average indoor temperature is 20~24℃in winter and 25~30℃in summer.Then,typical parameters were extracted from the survey data as input of the energy consumption model.Geometric models were established using Sketch Up Open Studio Plugins,and energy consumption models were built using Open Studio App.Energy Plus was used for simulation calculation.The simulated energy consumption of a typical shopping mall building is obtained.Energy Plus simulation results showed that electricity consumption was192.7k Wh/(m~2year)and gas consumption was 0.21GJ/(m~2·year).The simulated electricity consumption results are close to the energy consumption survey data of shopping malls in Changsha.The energy consumption results of typical shopping malls are compared with the energy consumption level of shopping malls in Changsha to ensure that the simulation results are within the credible range.Finally,taking a shopping mall in Changsha as a case building,according to the construction method of typical model,the proportion of each functional area of the mall is sorted out,and the building energy consumption model based on geometric simplification is established.Through literature research,14 important model input parameters and their value range are determined.The influence of the rate of change of parameters in a given range on the model output is analyzed,and the main input parameters that affect the model results are obtained.Reuse measured monthly electricity,with gas data on Bayesian Calibration case building energy consumption model,the assumption the scope of the main input parameters(prior distribution),for simulating the random combination of multiple parameters,compared with the measured results meet the likelihood function combination,and then obtain the parameters of the new value distribution(posterior distribution).From key parameters of energy consumption simulation to typical energy consumption model building,from case building energy consumption model building to sensitivity analysis and Bayesian calibration,this study initially tested the availability of the typical model established in this study,and demonstrated the good energy consumption prediction performance of the typical energy consumption model and the rationality of the model building method.It provides a set of reference research methods for building energy consumption models of typical buildings in different regions. |