Quantitative Study On Passive Energy Saving Parameters Of High-rise Residential Buildings In Hot Summer And Cold Winter Zone

At present,China's urbanization process is in the development period,and the total number of buildings will continue to grow.In the housing construction in recent years,the proportion of residential buildings is close to 70%,and the proportion of high-rise residential buildings is gradually increasing.With the implementation of the new national green building evaluation standards and the continuous strengthening of energy-saving standards,the requirements for energy-saving of high-rise residential buildings are also increasing.Therefore,it is particularly important to further tap the potential of passive energy-saving design.This project takes corridor high-rise residential buildings in hot summer and cold winter area as the research object,analyzes the relevant energy-saving renovation examples at home and abroad,and uses normalized values,sensitivity analysis,neural network,orthogonal test design,aiming at The quantitative relationship between the passive parameters of corridor high-rise residential buildings in the region is studied.And discuss from the following aspects:(1)Based on the examples of energy-saving transformation at home and abroad,combed the passive energy-saving measures and technical strategies of existing high-rise residential buildings,and constructed a basic technical route for the quantitative relationship analysis of energy-saving parameters of passive influencing factors of corridor high-rise residential buildings in Wuhan The passive energy-saving transformation has laid a foundation for research;(2)Adopt IES<VE>environmental energy integrated analysis software to build a theoretical model for heating and cooling energy consumption prediction of corridor-type high-rise residential buildings in Wuhan,use single variable method and multivariate analysis method to analyze from different angles,and use Origin Lab function drawing software And Matlab rectangular calculation software,with single-factor sensitivity analysis and RBF neural network,multi-level construction of a mathematical relationship model between high-rise residential passive influencing factors and heating and cooling energy consumption to study the energy consumption of high-rise buildings under the interaction of multiple factors The influencing factors provide certain research basis and reference.(3)Using the orthogonal test design range method,the orthogonal table L47(5~7) is used to set a five-level orthogonal test for the 9 passive influence factors of high-rise residential buildings.It is discussed to meet the energy saving requirements of 50%,65%and 75%,respectively.The priority of the influence factors of high-rise residential passive factors is prioritized,and the impact relationship of passive energy-saving transformation of high-rise residential buildings in Wuhan area is constructed to form a passive energy-saving control strategy and technical measures for the suitability of high-rise residential buildings.Therefore,based on the combination of qualitative and quantitative methods,a passive factor heating and cooling energy consumption prediction model for high-rise residential buildings is constructed to achieve multi-objective optimal design.The rational energy-saving technologies and design strategies for low-energy buildings in high-rise residential buildings under different energy-saving requirements are explored It has certain theoretical value and practical significance.