摘要
传统绿色建筑能耗控制方法无法准确计算绿色建筑能耗评价指标权重,导致绿色建筑能耗组成预测以及平均年能耗密度预测的结果均出现精度偏低问题。于是提出基于软件可量化计算的绿色建筑能耗控制方法。构建绿色建筑能耗评价指标体系,并采用AHO法量化处理绿色建筑能耗评价指标。在群体性判断原则的基础上扩大数据来源,提高绿色建筑评价指标权重计算结果的稳定性,并通过信息熵权法修正绿色建筑评价指标的权值。结合可变模糊基理论构建绿色建筑能耗评价模型,实现绿色建筑能耗的控制。仿真结果表明,所提方法可准确地预测绿色建筑能耗组成和平均年能耗密度,有效优化了绿色建筑能耗控制效果。
In order to improve the accuracy of energy consumption composition prediction and average annual energy consumption density prediction results of green buildings,a green building energy consumption control method based on software quantifiable calculation is proposed in this paper.The evaluation index system of green building energy consumption was established.The AHO-quantitative method was utilized to deal with the energy consumption evaluation index of green buildings.According to the group judgment principle,the data source was expanded to improve the weight of green building evaluation indicators,calculating the stability of the results.The information entropy weight method was used to modify the weight of the green building evaluation index.The energy consumption evaluation model of green buildings was established by variable fuzzy basis theory to control the energy consumption of green buildings.The simulation results show that this method not only accurately predicts the energy consumption composition and average annual energy consumption density of green buildings,but also optimizes the energy consumption control effect of green buildings.
作者
王芳
郭秀娟
WANG Fang;GUO Xiu-juan(School of Management Engineering,Jilin University of Architecture and Technology,Changchun Jilin 130114,China;College of Electronic Information and Computer,Jilin Jianzhu University,Changchun Jilin 130118,China)
出处
《计算机仿真》
北大核心
2022年第3期444-447,499,共5页
Computer Simulation
基金
吉林建筑科技学院校级科研项目(校科字[2019]007)。
关键词
软件可量化
绿色建筑能耗
信息熵权法
能耗控制
Software can be quantified
Green building energy consumption
Information entropy method
Energy consumption control
