基于热容辨识的太阳能-空气源热泵供暖系统运行调控研究

于浩洋; 王锡; 侯宏娟; 徐宝萍

doi:doi:10.19912/j.0254-0096.tynxb.2024-1648

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基于热容辨识的太阳能-空气源热泵供暖系统运行调控研究

更新时间：2026-02-06

- 基于热容辨识的太阳能-空气源热泵供暖系统运行调控研究
- Vol. 47, Issue 1, Pages: 192-201(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1648
  CLC： TK01
- Online First：05 February 2026，
  
  Published：05 February 2026
- 稿件说明：
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于浩洋, 王锡, 侯宏娟, et al. 基于热容辨识的太阳能-空气源热泵供暖系统运行调控研究[J]. 2026, 47(1): 192-201.
DOI：

于浩洋, 王锡, 侯宏娟, et al. 基于热容辨识的太阳能-空气源热泵供暖系统运行调控研究[J]. 2026, 47(1): 192-201. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1648.

摘要

提出一种基于数据与机理混合驱动的建筑热容辨识方法

该方法建立建筑热参数等效电路模型。利用白鲸算法以模型仿真温度和实测温度的平均绝对误差最小为目标函数

开展热容辨识及实验验证。在此基础上以北京某办公楼为例开展案例分析。结果表明

基于建筑热容辨识结果

通过热泵变负荷运行调控能够充分挖掘系统的节能潜力

提高光电消纳水平。相比初始负荷用电成本

负荷优化后成本降低10.9%

且光伏消纳率提高9.97%。

Abstract

The paper proposed a parameter identification method driven by mechanism and data

which established the equivalent circuit model of building thermal parameters. The beluga algorithm was used to minimize the mean absolute error （MAE） between the simulated temperature of the model and the measured temperature as the objective function to carry out the heat capacity identification

which was verified through experiments. On this basis

a case study of an office building in Beijing is carried out. Based on the building heat capacity identification results

the energy-saving potential of the system and the level of photovoltaic accommodation can be fully tapped through the variable load operation and control of the heat pump. Compared with the initial load

the total cost of electricity after load optimization was reduced by 10.9%

and the photovoltaic accommodation rate was increased by 9.97%.

关键词

Keywords

references

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