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

太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 192-201.

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 192-201. DOI: 10.19912/j.0254-0096.tynxb.2024-1648

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1, 王锡1, 侯宏娟2, 徐宝萍1
作者信息 +

RESEARCH ON OPERATION REGULATION OF SOLAR-AIR SOURCE HEAT PUMP HEATING SYSTEM BASED ON HEAT CAPACITY IDENTIFICATION

  • Yu Haoyang1, Wang Xi1, Hou Hongjuan2, Xu Baoping1
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文章历史 +

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

参数辨识 / 热容 / 太阳能 / 需求响应 / 白鲸算法 / 运行调控

Key words

parameter estimation / thermal capacity / solar energy / demand response / beluga whale algorithm / operation adjustment

引用本文

导出引用
于浩洋, 王锡, 侯宏娟, 徐宝萍. 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]. 太阳能学报. 2026, 47(1): 192-201 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1648
Yu Haoyang, Wang Xi, Hou Hongjuan, Xu Baoping. RESEARCH ON OPERATION REGULATION OF SOLAR-AIR SOURCE HEAT PUMP HEATING SYSTEM BASED ON HEAT CAPACITY IDENTIFICATION[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 192-201 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1648
中图分类号: TK01   

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基金

国家重点研发计划(2021YFE0194500); 内蒙古自治区自然科学基金(2023ZD20); 北京市自然科学基金(3222042); 国网综合能源服务集团有限公司科技项目(NO.527899220008)

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