基于融合权重法和灰色聚类法的建筑能效评价

Q2 Energy Energy Informatics Pub Date : 2024-12-03 DOI:10.1186/s42162-024-00437-w
Jie Gong
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引用次数: 0

摘要

建筑节能工程的改造与评价可以为建设节能型社会提供重要支撑。本研究提出运用合同能源管理模型对建筑节能项目进行分析,并构建评价指标体系。创新地结合层次分析法和熵权法计算指标权重,充分发挥主客观因素的有效影响。最后,运用灰色聚类分析法对建筑节能项目进行评价。通过权重计算和评价分析,发现节能改造后建筑年终用电量和空调用电量的节能率分别为59.80%和54.95%。节能建筑的总体有效性在50%以上,节能效果显著。在指标评价体系中,节能服务公司指标的权重结果较高,分别为0.52、0.48、0.51。改造效果较好。65%节能率下的建筑节能成本和经济效益分别为300万元和53万元,明显优于其他节能率下的模拟结果。基于融合权值法和灰色聚类法的合同能量管理模型具有优越性,对建筑节能项目的评价是有效的。为建筑节能改造提供技术参考和科学建议。
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Building energy efficiency evaluation based on fusion weight method and grey clustering method

The renovation and evaluation of building energy-saving projects can provide important support for building an energy-saving society. The study proposes using the contract energy management model to analyze building energy-saving projects and construct an evaluation index system. We also innovatively integrated the Analytic Hierarchy Process and Entropy Weight Method to calculate the weights of indicators, in order to leverage the effective influence of subjective and objective factors. Finally, we used Grey Cluster Analysis to obtain the evaluation effect of building energy-saving projects. Through weight calculation and evaluation analysis, it was found that the energy-saving rates of year-end electricity consumption and air conditioning electricity consumption in buildings after energy-saving renovation were 59.80% and 54.95%, respectively. The overall effectiveness of energy-saving buildings was above 50%, indicating a significant energy-saving effect. In the indicator evaluation system, the weight results of energy-saving service company indicators were relatively high, with values of 0.52, 0.48, and 0.51, respectively. The transformation effect was relatively good. The building energy-saving cost and economic benefits obtained from a 65% energy-saving rate were 3 million yuan and 530,000 yuan, respectively, which were significantly better than the simulation results of other energy-saving rates. The contract energy management model based on the fusion weight method and grey clustering method has superiority, which is effective for evaluating building energy-saving projects. It also provides technical reference and scientific suggestions for building energy-saving renovation.

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来源期刊
Energy Informatics
Energy Informatics Computer Science-Computer Networks and Communications
CiteScore
5.50
自引率
0.00%
发文量
34
审稿时长
5 weeks
期刊最新文献
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