摘要
综述农宅供暖负荷预测技术的研究进展,分析不同供暖方式在碳排放和经济成本上的差异,强调优化供暖系统设计的重要性;介绍多种负荷预测方法,包括传统物理模型法、数据驱动模型法和入户调查法,并探讨其优劣及适用场景。研究指出,精准负荷预测对优化供暖系统设计、运行及降低能耗和成本具有关键作用。未来研究将聚焦于克服农宅建筑分散、供暖设备供热量难以量化和供暖数据获取困难等挑战,以提升负荷预测的准确性和应用价值。
Reviewing the research progress of heating load forecasting technology for rural residences,analyzes the differences in carbon emissions and economic costs among different heating methods,and emphasizing the importance of optimizing the design of heating systems.Introduce various load forecasting methods,including traditional physical model method,data-driven model method and household survey method,and discuss their advantages and disadvantages as well as applicable scenarios.Research indicates that precise load forecasting plays a crucial role in optimizing the design and operation of heating systems,as well as reducing energy consumption and costs.Future research will focus on overcoming challenges such as the scattered distribution of rural residential buildings,the difficulty in quantifying the heat supply of heating equipment,and the difficulty in obtaining heating data,in order to enhance the accuracy and application value of load forecasting.
作者
陈玥
蔺雨辰
宋晓洁
李家炜
孟艳
田玲玲
CHEN Yue;LIN Yuchen;SONG Xiaojie;LI Jiawei;MENG Yan;TIAN Lingling
出处
《节能》
2025年第8期152-156,共5页
Energy Conservation
关键词
农宅供暖
供暖负荷预测
能耗优化
数据获取
经济成本
rural residential heating
heating load forecasting
energy consumption optimization
data acquisition
economic costs
