云南省不同气候分区住宅建筑能耗限额研究

发布时间：2018-01-06 16:41

本文关键词：云南省不同气候分区住宅建筑能耗限额研究　出处：《昆明理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：20世纪70年代能源危机之后,各国开始重视建筑节能工作,很多发达国家都建立了符合本国国情的建筑能耗定额体系,用于限制建筑能耗的增长。中国的建筑能耗研究工作落后于发达国家,且研究对象多针对公共建筑,直至1986年我国才开始对居住建筑开展建筑能耗研究。云南省由于气候舒适,建筑节能工作起步较晚,关于我省居住建筑能耗定额的研究也较少。随着经济水平和居民生活水平的不断提高,居住建筑的能耗正逐渐增长,考虑到能源消耗总量的控制要求和建筑业的可持续发展,因此本文对居住建筑能耗限额进行了研究。。首先,本文在对国内外文献总结的基础上,对云南省居住建筑能耗限额进行了理论研究,提出了使用统计分析和计算(包括模拟)确定能耗限额的两种方法并对两种方法的使用进行了阐述。然后,在云南省的温和中区昆明、温和北区昭通、寒冷地区香格里拉、夏热冬暖地区景洪四个典型城市中各选取50户城镇住户进行能耗统计和调研,并在其中选择一户典型家庭进行全年室内温湿度的测试。对居住建筑能耗数据的影响因素进行偏相关分析和线性回归,以人均年能耗为目标函数,确定了四个地区的人均年能耗影响因素和人均年能耗回归方程,并计算出四个城市的人均年能耗定额水平表。根据定额水平表确定了各地区城镇住宅建筑的平均合理定额水平为0.5,平均高定额水平为0.75-0.8,平均低定额水平为0.2。其次,在调研资料的基础上,结合统计年鉴和相关节能设计规范,进行家电、生活热水和烹饪能耗的计算。同时,建立各气候区的标准化建筑模型,对四个典型城市和夏热冬暖、温和北区、温和中区、温和南区、寒冷地区五个气候区的若干代表城市进行能耗模拟,在验证模型可用性的基础上确定各地的照明能耗和采暖空调能耗。将各分项能耗汇总得到了四个典型城市和五个气候区的建筑能耗技术定额。结合统计定额的平均合理定额水平和技术定额,确定了四个典型城市的能耗实施限额区间和五个气候区的能耗实施限额上限值。最后,采用PMV热舒适模型对四个调研地区进行了室内热舒适性分析,论证了实施限额的合理性,并针对能耗限额的实施给出了相应的节能政策建议。
[Abstract]:In 1970s after the energy crisis, countries began to pay attention to the construction of energy-saving work, many developed countries have established accord with the national conditions of building energy consumption quota system to limit the growth of building energy consumption. Building energy consumption of the China behind the developed countries, and the researches on public buildings, until 1986 China began to carry out research on building energy consumption residential buildings in Yunnan province. Because the climate is comfortable, energy-efficient construction work started late, I research on residential building energy consumption quota is also less. With the economic level and the continuous improvement of people's living standard, the energy consumption of residential buildings is growing, considering the sustainable development requirements to control total energy consumption and the construction of the residential building energy consumption quota is discussed. Firstly, based on literature at home and abroad on the summary of living in Yunnan Province Building energy consumption quota is studied and proposed the use of statistical analysis and calculation (including simulation) two kinds of methods to determine the quota for energy consumption and use of the two methods are discussed. Then, in the Yunnan province of central Kunming North Zhaotong, mild, moderate, cold region of Shangri-La, in the hot summer and warm winter area of Jinghong four typical city in the selection of 50 households in urban household energy statistics and research, and the indoor temperature and humidity to choose a typical family in the test. The partial correlation analysis and linear regression on the factors affecting the energy consumption data of residential buildings, the per capita energy consumption as objective function, the factors to determine the effect of four regions per capita energy consumption the per capita energy consumption and the regression equation, and calculate the per capita energy consumption quota level table four city. According to the quota level table to determine the urban residential building area are reasonable The quota level is 0.5, the average high quota level is 0.75-0.8, the average low quota level is 0.2. secondly, based on survey data, combined with the statistical yearbook and the related design specifications for household appliances, energy saving, energy consumption calculation of living hot water and cooking. At the same time, the establishment of standardized building model in each climate zone, the four typical city and in the hot summer and warm winter, mild moderate north, central, south temperate, some representative city five climate regions in cold regions were determined and Simulation of energy consumption, lighting energy consumption of heating and air conditioning energy consumption around based on the availability of the verification model. The respective energy consumption quota of building energy technology get a summary of the four typical city and five climate zone. Based on the statistical quota quota quota and reasonable average level, to determine the energy consumption of four typical city implementquota interval and five climate regions of the implementation of limit value Finally, the PMV thermal comfort model is used to analyze the indoor thermal comfort of four research areas. The rationality of the implementation quota is demonstrated, and the corresponding energy saving policy recommendations are given for the implementation of the energy consumption quota.

【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU241;TU111.195

【参考文献】