Changes And Distribution Characteristics Of HDD And CDD Values In The Huanghuaihai Plain

Natural meteorological conditions have a great impact on the energy consumption of buildings,of which air-conditioning energy consumption accounts for more than two-thirds of the energy consumption of buildings.Therefore,determining the load demand of air conditioners plays a vital role in energy saving control of building energy consumption.When the indoor temperature exceeds the comfort range of human production and living,it is necessary to control the indoor temperature to a suitable range through artificial means.When the weather is hot in summer,it needs to be cooled by air conditioning,and when the weather is cold in winter,it is heated by air conditioning to meet the comfort requirements of human temperature.The natural ambient temperature is the most direct meteorological condition that affects the energy consumption of air conditioners,and directly determines the demand and dynamic changes of air conditioner load.Since the outdoor ambient temperature cannot directly reflect the load demand of the air conditioner,the method of degree days is used for research.This article defines the concept of heat intensity and degree based on the number of days of cooling degree CDD.The concept of cold intensity and degree is proposed in the HDD value of heating degree book,which can more accurately reflect the cold load of air conditioners in summer during the cooling period and the heat of heating in winter.Load demand and dynamic changes.This article divides the heating and cooling days into heating and cooling days based on the relevant specifications and the temperature range of human comfort,which facilitates the statistics of the distribution of heating and cooling days.With0?,5?,10?,and 16? temperature lines as the reference,the cumulative degree days that occur longitudinally are defined as the cold intensity,and the cumulative degree days at the same intensity are defined as the degree of coldness.With the temperature lines of 28?,30?,and 32? as the reference,the cumulative degree days that occur longitudinally are defined as the heat intensity,and the cumulative degree days at the same intensity are defined as the degree of heat.Taking the meteorological data of three typical cities in Tianjin,Jinan and Suzhou as research objects,the distribution characteristics of heating and cooling degree days in Huanghuaihai area in time and space were statistically analyzed,and the cold and heat intensity and the degree of cold and heat in the three regions were analyzed.Distribution characteristics.At the same time,the energy consumption simulation analysis of the same building was performed with DEST software,and the relationship between the number of days and the air conditioner was compared and analyzed.The typical meteorological year method is used to calculate and analyze the meteorological parameters of the three representative cities in the Huanghuaihai area in the past 30 years,and the law of temperature changes;HDD and CDD values;and the average annual method for the year-to-year changes and trends of HDD and CDD values and The annual distribution characteristics were analyzed and studied,and itwas concluded that the average daily temperature in the Huang-Huai-Hai Plain in the past 30 years generally showed an upward trend in small twists and turns,and the temperature increased from north to south.The daily temperature difference between the three places during the cooling period is small,and the temperature difference during the heating period is large.The hot and cold times are consistent.The coldest month is January and the hottest month is July.In the past 30 years,the distribution of HDD values has small differences and small fluctuations,which are relatively stable.The distribution of CDD values has a large difference,showing an uneven rising trend and a large change.The distribution characteristics of HDD / CDD values of cold,heat intensity and degree in the typical meteorological years of the three representative cities are obtained.It can be seen that during the heating period in typical meteorological years,the proportion of coldness under smaller cold intensity accounts for the proportion of HDD in the heating period.The differences in the contrast distribution of the three regions are small,the extreme values of cold intensity decrease from north to south,the month of occurrence of the extreme values of intensity are the same,and the difference in the proportion of cold degree at higher cold intensity is obvious.At the same time,the proportion of heat under the same heat intensity in the CDD period varies greatly,and the overall distribution is significantly different.The extreme value of heat intensity increases from north to south,and the month of heat intensity occurrence is the same.The office building model established by DEST software was used to simulate the building energy consumption results of the office buildings in the three places.Combined with the heating and cooling degree days,the energy consumption results were compared and analyzed.It can be seen that the degree days and air conditioning load showed a significant linear relationship.The distribution characteristics of degree days in different regions are significantly different,which has a significant impact on air conditioning load.Figure [59] table [1] reference [86]...