Influence Of Different Factors On Meteorological Data Of HVAC

Meteorological data are the basic data for HVAC.They directly affects a series of links in the entire life cycle of HVAC projects,including load calculation,energy consumption simulation and decisions on energy solutions,system forms,equipment models,and operating strategies.In recent years,with the advancement of new urbanization and the improvement of building technology,Meteorological data for HVAC projects become complex and personalized.There are many factors that affect the differences in meteorological data,with different laws and couplings.Therefore,it is necessary to study the influence of different factors on meteorological data for HVAC and to propose systematic amendments to it.In this paper,the literature and questionnaires are used to investigate the meteorological data for HVAC from the two aspects of acquisition and application.The main factors that lead to the difference between the two are the location,height and surrounding environment of the weather station and the actual building project.The DeST software is used to simulate load calculation for a hotel building in Xi’an,then use IC and MAE as indicators to analyze the sensitivity of building cooling and heating load to meteorological data.It was determined that the difference in dry bulb temperature should be focused on when calculating the heat load in winter,and the difference in dry bulb temperature and relative humidity when calculating the cooling load in summer.According to the location,height and environmental factors of the building and the types of parameters that need attention,the winter and summer meteorological observations in Xi’an area are carried out.Analyzing the influence of different factors on the meteorological data,it is found that there are significant differences in time and season.The meteorological data obtained from the field measurement data in Xi’an area and the data from the national ground observation station were applied to the same building to carry out the simulated load calculation.The results show that the factors that affect the difference in meteorological data exist among each other.It should beclassified and step by step,when correcting it.Correction method of combing meteorological data difference caused by single factor.It is proposed that the correction of meteorological data should be carried out in the order of building location,environment and height.