建筑节能效果评价物元可拓模型仿真
Simulation of Matter-Element Extension Model for Building Energy Efficiency Evaluation
丁勇花 1欧忙 1谢芸菲2
作者信息
- 1. 郑州工业应用技术学院建筑工程学院,河南 新郑 451100
- 2. 华北水利水电大学建筑学院,河南 郑州 450045
- 折叠
摘要
为了获取精准的建筑能源消耗量,促进合理节约资源,借助物元可拓模型研究建筑节能效果评价方法.构建建筑节能效果评价指标体系,定量表示工程进度、节能量、减排量等指标.采用主观赋值法定性评价工程的成功度,划分等级标准;将可拓原则引入到建筑节能效果评价中,运用物元矩阵与关联函数明确待评物元,确定评价指数权重系数,剔除指标权值的外界干扰,降低评价误差;划分等级优化区域,结合已知的特征权重系数,计算得出评价对象的关联情况,实现建筑节能效果的综合评价.实验结果表明,所提方法能够有效评价不同类型建筑的节能效果等级,准确计算能源消耗,有利于提升建筑节能效果.
Abstract
In order to obtain accurate energy consumption and promote reasonable resource conservation,a method of assessing the energy-saving effect of buildings was studied with the help of the matter-element extension model.Firstly,we constructed an evaluation index system to quantitatively represent the progress of the project,the amount of energy saving and emission reduction.Secondly,we used the subjective assignment method to qualitatively evaluate the degree of success of the project and thus to determine the categorization criteria.Thirdly,we introduced the exten-sion principle into the evaluation of building energy-saving effects.Then,we used the matter-element matrix and cor-relation function to clarify the matter-element to be evaluated.Moreover,we determined the weight coefficient of the evaluation index and eliminated the external interference of index weight,thus reducing evaluation error.Furthermore,we divided the regions of grading optimization,and used the known feature weight coefficients to calculate the correla-tion of the evaluation objects.Finally,we completed the comprehensive evaluation of the energy-saving effect of buildings.Experimental results show that the proposed method can effectively evaluate the energy-saving grade of dif-ferent buildings,and calculate energy consumption accurately,so it is conducive to improving the energy-saving effect of buildings.
关键词
物元可拓模型/建筑节能/节能效果评价/熵权法/关联函数/评价指标体系Key words
Matter-element extension model/Building energy conservation/Energy-saving evaluation/Entropy method/Correlation function/Evaluation index system引用本文复制引用
出版年
2024
NETL
NSTL
万方数据