基于三角模糊层次分析法的重庆地区建筑低碳化评价指标体系研究

发布时间：2018-02-26 07:10

本文关键词： 建筑低碳化评价指标体系三角模糊数　出处：《重庆大学》2014年硕士论文　论文类型：学位论文

【摘要】：可持续发展是人类社会永恒的主题，在人类社会发展的不同时期，可持续发展的表现形式有所不同。随着生产力水平的大幅提高，社会在发展的同时，也带来了诸多环境问题。随着气候变暖、全球环境的不断恶化，人们对环境问题的诱因有所认识，尤其是大气中以二氧化碳为主的温室气体浓度升高导致气候变化已是不争的事实，降低碳排放是实现社会可持续发展的重要途径。作为全球第一大CO2排放国，中国正面临着巨大的压力，为实现我国在哥本哈根气候变化大会上40%-45%的减排承诺[1]，建筑行业责任重大，因此降低建筑业的温室气体排放，是推动和促进解决我国碳排放的问题的主要途径。为了推进建筑低碳化，论文以“建筑低碳化”为主题展开研究。论文首先对建筑低碳化概念进行界定,分析了建筑低碳化的内涵,加深对建筑低碳化的理解；为借鉴国内外经验,论文对国内外8个具有代表性的相关评价指标体系/方法进行了分析，通过分析对比筛选出建筑低碳化评价指标体系可选指标集；随后在专家咨询和小组讨论的基础上，从“碳足迹——碳源、碳汇”角度出发梳理了在建筑的全生命周期中影响碳排放的因素,最终建立了一套全面的、体现了建筑低碳化内涵评价指标体系，，为建筑行业的低碳化发展提供了技术支撑。该评价指标体系由“直接碳源——能源供给与用能系统”、“间接碳源——低碳设计与建造”、“直接碳汇——绿化与能源循环利用”、“间接碳汇——资源循环利用”4个一级指标构成，共有19个二级指标。为确定建筑低碳化评价指标体系各指标权重，本文对比了现有权重计算方法的优缺点，同时结合专家评判信息具有模糊性和不确定性的特点，采用“专家咨询法”、“基于三角模糊数的层次分析法”计算建筑低碳化评价指标体系的各指标权重。本文权重计算过程中集合了25个专家群的有效问卷，为处理融合为这些数据，将权重复杂的计算过程运用MATLAB语言工具进行了编程，得到了建筑低碳化评价指标体系及其权重。通过对权重计算结果的合理性分析，证明了在模糊信息下，运用基于三角模糊数的层次分析法确定建筑低碳化评价指标体系权重是可行的。
[Abstract]:Sustainable development is the eternal theme of human society. In different periods of human social development, the manifestation of sustainable development is different. It also brings a lot of environmental problems. With the warming of the climate and the worsening of the global environment, people are aware of the causes of environmental problems. Especially, it is an indisputable fact that the increase of carbon dioxide concentration in the atmosphere leads to climate change. Reducing carbon emissions is an important way to realize the sustainable development of society. As the largest emitter of CO2 in the world, China is under tremendous pressure to reduce greenhouse gas emissions from the construction industry in order to meet its 40-45% commitment to reduce emissions at the Copenhagen Climate change Conference. It is the main way to promote and promote the solution to the problem of carbon emission in China. In order to promote low carbonization of buildings, the thesis focuses on the theme of "low carbonization of buildings". Firstly, the concept of low carbonization of buildings is defined, the connotation of low carbonization of buildings is analyzed, and the understanding of low carbonization of buildings is deepened. In order to draw lessons from domestic and foreign experience, this paper analyzes 8 representative evaluation index systems / methods at home and abroad, and selects the optional index set of building low carbonization evaluation index system through analysis and comparison. Then, based on expert advice and panel discussions, from the perspective of "carbon footprint-carbon source, carbon sink", the factors that affect carbon emissions throughout the life cycle of the building are sorted out, and a comprehensive set is established. It embodies the evaluation index system of low carbonization connotation, This evaluation index system consists of "Direct carbon source-energy supply and energy use system", "indirect carbon source-low carbon design and construction", "direct carbon sink-greening and energy recycling". "," indirect carbon sinks-recycling of resources ", consisting of four primary indicators, There are 19 secondary indicators. In order to determine the weight of each index in the evaluation index system of low carbonization of buildings, this paper compares the advantages and disadvantages of the existing methods of weight calculation, and combines the characteristics of fuzzy and uncertain with the information of expert evaluation. This paper uses "expert consultation method" and "Analytic hierarchy process based on triangular Fuzzy number" to calculate the weight of each index system of low carbonization evaluation index system of buildings. In order to deal with the fusion of these data, 25 valid questionnaires of expert groups are collected in this paper. The calculation process of complex weight is programmed by MATLAB language, and the evaluation index system of low carbonization of building and its weight are obtained. By analyzing the rationality of weight calculation results, it is proved that under the condition of fuzzy information, It is feasible to use the analytic hierarchy process (AHP) based on triangular fuzzy number to determine the weight of low carbonization evaluation index system.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.92;F205

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