民居建筑室内空间热环境多点能耗精准预测
Accurate Prediction of Multi-Point Energy Consumption in Thermal Environment of Indoor Space of Residential Buildings
陈星星 1刘显成1
作者信息
- 1. 长江大学城市建设学院,湖北 荆州 434000
- 折叠
摘要
在民居建筑室内热环境多点能耗预测时,若不能有效确定热环境下室内当前状态下舒适程度,会直接影响能耗预测精度.因此,提出考虑舒适度的民居建筑室内空间热环境多点能耗预测方法.根据室内状态建立民居建筑内热环境模型,采用主元分析法获取能耗评价指标,构建热环境下室内能耗指标评价体系,并利用指标建立评价模型,从而确定室内当前热环境能耗;将确定指标作为模型输入向量,利用RBF神经网络构建室内能耗多点预测模型;通过建立的模型实现对民居建筑室内空间多点能耗的精准预测.实验结果表明,所提方法开展室内能耗多点预测时,预测精度高、效果好.
Abstract
In the process of predicting the multi-point energy consumption of indoor thermal environments in res-idential buildings,if the comfort level of the current indoor thermal environment cannot be effectively determined,the prediction accuracy of energy consumption will be directly affected.Therefore,a method for predicting the multi-point energy consumption of the indoor thermal environment of residential buildings was proposed.Firstly,a thermal envi-ronment model was built according to the indoor state.Then,the principal component analysis was adopted to obtain the evaluation index of energy consumption.Secondly,an evaluation system of energy consumption in a thermal envi-ronment was constructed.Based on these indicators,an evaluation model was constructed to determine the current en-ergy consumption.Thirdly,the determined indicators were used as input vectors of the model,and an RBF neural net-work was used to construct a multi-point prediction model of indoor energy consumption.Finally,the accurate predic-tion of multi-point energy consumption of indoor space in residential buildings was achieved through the model.Ex-perimental results show that the proposed method has high prediction accuracy and good effect on multi-point predic-tion of indoor energy consumption.
关键词
民居建筑/室内空间/热环境/多点能耗预测/预测方法Key words
Residential buildings/Indoor space/Thermal environment/Multi-point energy consumption predic-tion/Prediction method引用本文复制引用
基金项目
湖北省水利厅重点研发项目(2022)(HBSLK202209)
出版年
2024
NETL
NSTL
万方数据