制冷技术2024，Vol.44Issue(2)：38-46,9.DOI:10.3969/j.issn.2095-4468.2024.02.201
基于数据驱动融合专家知识方法的居民建筑系统动态用能评价与诊断
Evaluation and Diagnosis of Dynamic Energy Consumption of Residential Building System Based on Data-driven Fusion of Expert Knowledge Method
苟伟 1成建宏 2陈焕新 1张建强 3陈进 4程亨达 1何宇轩1
作者信息
- 1. 华中科技大学能源与动力工程学院,湖北 武汉 430074
- 2. 中国标准化研究院,北京 100086
- 3. 大金(中国)投资有限公司技术开发研究院,上海 201108
- 4. 珠海格力电器股份有限公司,广东 珠海 519070
- 折叠
摘要
Abstract
In this paper,a dynamic simulation method is adopted for the typical residential buildings of variable refrigerant flow(VRF)system in Changsha,which is in the hot summer and cold winter area,a dynamic energy consumption evaluation system based on the method of data-driven fusion of expert knowledge is established,and the model is updated constantly with new data generating.Finally,artificial sensor faults are introduced to the air-conditioning system,and the paper evaluates and diagnoses the energy consumption of the building system after the faults.The results show that the dynamic energy use evaluation method is significantly better than the single energy use benchmark evaluation method,that the proportion of A in high energy efficiency levels in different energy consumption modes has been almost reduced by 100%,and that the proportions of D and E in high energy consumption levels have almost increased by more than 50%.关键词
多联机系统/居民建筑/动态用能基准/用能评价/用能诊断Key words
Variable refrigerant flow system/Residential building/Dynamic energy consumption benchmark/Energy evaluation/Energy diagnosis分类
通用工业技术引用本文复制引用
苟伟,成建宏,陈焕新,张建强,陈进,程亨达,何宇轩..基于数据驱动融合专家知识方法的居民建筑系统动态用能评价与诊断[J].制冷技术,2024,44(2):38-46,9.
