| Located at the boundary line of Huaihe River,southern Henan has complex climatic conditions and abundant forms of dwellings.The area has a large rural population,and the energy consumption per unit area and total energy consumption in rural residential areas are increasing year by year.In the design and construction of rural housing,due to the lack of scientific guidance,the characteristics of local climate are ignored and the diversity of form and function is blindly pursued.As a result,the indoor thermal environment of rural houses in this area is poor and energy consumption is high,which seriously affects the quality of life of the people.Influenced by regional climate and culture,traditional dwellings have formed unique design methods,and the climate adaptability contained in their green wisdom construction experience has the possibility of providing comfortable indoor thermal environment for residents.The Hui-style dwellings widely distributed in the humid and hot climate area of southern Henan are unique architectural types produced by the combined effects of climate and geographical characteristics.From the perspective of building indoor thermal environment creation mechanism,combined with thermal environment field test and building energy consumption simulation and other research methods,this study conducted a quantitative study on the climate adaptability mechanism of traditional dwellings in southern Henan,providing necessary theoretical basis for contemporary sustainable building design.Based on the research objectives of this paper,the main contents of this study can be divided into the following aspects: First,the outdoor meteorological parameters in southern Henan are introduced,the design characteristics of traditional residential houses based on local climate adaptability strategies are summarized,and the key points of the climate adaptability design methods of traditional residential houses are extracted through field research(Chapter 2).Secondly,the characteristics and rules of indoor thermal environment of different types of residential houses were summarized by short-term test analysis in winter and summer.The test results prove the effectiveness of traditional green construction wisdom.(Chapter 3);Thirdly,Energy Plus is used to simulate the annual thermal environment of traditional residential houses.The simulation data show that the climate adaptive design strategy of traditional residential houses can effectively improve its indoor thermal environment,and 53.2% of the time in a year is within the comfort range.The research results are helpful to provide a more comprehensive theoretical basis for local building energy conservation design(Chapter 4).Then,the thermal environment and thermal comfort time of different climate adaptive design methods in the natural operating state of the whole year are simulated by using the analysis method based on parameterization.By comparing the annual thermal comfort time with the indoor operating temperature on the coldest day and other thermal physical environment indexes,the differences between the indoor thermal environment and the annual thermal comfort time ratio of each design method were obtained(Chapter 5).Finally,the effect ranking based on climate adaptive design method was carried out for residential buildings in southern Henan.The results show that the importance of improving indoor thermal performance varies with different methods.Specifically,spatial layout and building orientation are the most effective methods in building form design,followed by building height and building shading.In thermal engineering design of enclosure structure,external wall insulation and window wall area ratio have the greatest influence.The rest are:roof thermal inertia,roof insulation,exterior thermal inertia and window type.The results show that the residential buildings in southern Henan have great potential in terms of comfort and energy saving,which can provide guidance for rural residential buildings in hot summer and cold winter areas such as southern Henan.(Chapter 6). |
