Meteorological Year Development for Building Energy Consumption Simulation in Hot and Humid Areas and Influences of Meteorological Parameters
HUANG Zujian
ZHAN Qiaosheng
Abstract：Numerical simulation could analyze building energy consumption and provide support for formulation of energy-saving building strategies.However,it requires accurate energy models.Meteorological data which can characterize local climate conditions accurately is essential for energy models.With references to international experiences,China determined meteorological parameters which can support simplified assessment of building thermal performances in early stage.With the construction of city weather stations(CWSs)and data accumulation in recent years,it is feasible to carry out more refined studies on building meteorological data.This study is devoted to the development of the latest meteorological reference year data for building energy consumption simulation in hot and humid areas while investigating the influences of meteorological parameters on building energy consumption in these areas.
Guangzhou and Xisha are chosen as the representative cities in hot and humid areas.With references to methods recommended by ISO 15927-4,the most representative 12"typical months"were chosen from the hourly measurement data(CWS)of urban meteorological stations from 2010 to 2019 according to values of air temperature,relative humidity(RH),solar radiation and wind speed.These 12"typical months"were combined into a complete test reference year(TRY)to provide basic parameters for building energy consumption simulation.
Representativeness of TRY was assessed through a comparative simulation of model groups which used 1-year TRY and 10-year CWS meteorological data as the climatic conditions.Compared to simulation results of CWS group,refrigeration needs of TRY group in Guangzhou and Xisha were overestimated by 3.68％and 1.71％,respectively.The monthly values were close to mean values of the CWS group.Except for 11.58％and 5.96％overestimation in dehumidification demand,the monthly values reached the maximum value of CWS group within certain months.The difference between the 1-year simulation results of TRY model group and the 10-year simulation results of CWS model group is significantly lower than simulation errors of the CWS2010-2019 group in 10 years.This proves that the simulation results of TRY group are in agreement with long-term conditions of the CWS group.
To investigate impact weights of meteorological elements on building energy consumption,comparative model groups were formed based on TRY through offsets of meteorological parameters.Results showed that air temperature and solar radiation had dominant influences on building energy consumption.The annual average values of relative impact weight(IFw.mean)are 44.81％and 40.62％in Guangzhou and 28.70％and 57.11％in Xisha.RH influences vary with seasons.IFw.mean of RH in Guangzhou and Xisha are 11.30％and 8.98％,respectively.Influences of wind speed are not obvious in Guangzhou,but the impact of wind speed increased to some extent.IFw.mean values were 3.28％and 5.21％in Guangzhou and Xisha,respectively.On this basis,energy-saving building design strategies are formulated.Except for relieving high-temperature effects,high attention shall be paid to building shading and RH control in spring and summer.The impact weights of meteorological parameters on energy consumption simulation results are not influenced by structural types of buildings.However,energy consumption of the heavy construction group is significantly lower than that of light construction group.This proves that enhancing the thermal storage capacity of building envelopes has significant energy-saving potential.
This study provides meteorological data support for building energy consumption simulation in hot and humid areas and offers some references for energy-saving building design.Since simulation schemes have limitations in parameter setting,future studies should acquire more reliable input parameters through laboratory or practical engineering measurement and improve reliability of research conclusions through feedback and test by measurement data.
Keywords：air temperaturesolar radiationrelative humiditywind speedbuilding energy consumptiontest reference year
Publication Date：2024-06-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 96-106 )