Heating Energy Consumption Statistics And Test Analysis Of Rural Buildings In Three Northeast Provinces

Since the oil crisis in1970s, energy has become attach the attention all over theworld. In our country, building energy consumption accounts for social total largely andincreases year by year. With the development of our country, the farmer’s livingstandard improved and the proportion of commercial energy in rural residentialbuildings increased in recent years, and all of these adds to the energy crisis. Theheating energy consumption of northern rural building accounts for over60%of thetotal building energy consumption. In order to research the current situation of ruralbuilding, the heating energy consumption, non commercial energy consumption, selectthe key factors and understand its magnitude of the impacts of rural residential buildings,questionnaire statistics and typical rural residential buildings measurement were utilizedin the research. The result can provide a powerful data support to guide heating energysaving transformation, the establishment of national energy saving policy and ralatedspecifications.The main information we collected in questionnaire statistics is that basicinformation of farm household, rural residential buildings, indoor air environment inwinter, energy consumption and building envelope of rural residential buildings in threenortheast provinces. The preliminary descriptive statistics result is as follows: heatingand kitchen work mixed for heating type account for90.4%, mean annual heatingenergy consumption and mean annual heating energy consumption per capita is2158.4kgce and751.6kgce, the standard deviation is1044.8kgce and387.9kgce. Andthe ratio of heating energy consumption in total energy consumption in rural residentialbuildings is0.835and the cofficient of dispersion is0.087. The mean ratio of noncommercial energy consumption in total heating energy consumption is0.438and thecofficient of dispersion is0.735.In this paper, we firstly applied analysis of variance to the quantitative research ofheating energy consumption in rural residential buildings. The independent sample t-testand one-way as well as univariate independent samples analyses of variance bySPSS19.0software were utilized in the research. The preliminary result of key factors atthe significance level of0.05which is select from40influencing variable is as follows:cooking frequence in winter (t=-2.641, p=0.026), geographic area (F2，52=3.529, p=0.037,ω2=0.09), number of household members (F3，52=3.242, p=0.03,ω2=0.117) and the formof heating system composition (F2，51=3.305，p=0.045，ω2=0.084). The two-wayindepdent sanples UNIANOVA were used to select the key factors at the significancelevel of0.05from a group of39two-way indepdent factors. The result is follows: theform of heating system composition and geographic area, housing types, construction time, northern window-wall ratio and the ceiling of roof. We ascertain the source ofsignificant difference to the above five groups by doing simple main effect analysis andits magnitude of the impacts by strength of association. It has further established that thenorthern window-wall ratio and the ceiling of roof represent both for66.2%in thesubgroup firewood stove and heated kang and geographic area, housing types and theceiling of roof represent64.7%,70.6%and22%respectively in the subgroup firewoodstove, stove and heated kang of the total ststistically significant variance in annualheating energy consumption.We selected nine rural residential buildings to take heating energy consumptiontest in northeast three province and calculated annual heating energy consumption bycalculation method. The index we used is annual heating energy consumption perbuilding area and annual heating energy consumption per heating area. The result is asfollows: annual heating energy consumption per building area range from38.1kgce/m2to110.8kgce/m2and the mean is63.79kgce/m2. annual heating energy consumptionper heating area range from51.6kgce/m2to315.7kgce/m2and the mean is111.98kgce/m2. Ultimately we do analysis about the calculated annual heating energyconsumption by the factors that at the significance level of0.1in questionnaire analysis.