张晓明, 张昊天, 王强, 马璎涵, 赵诗雨. 一种考虑光伏发电与峰谷电价的空气源热泵最优装机容量计算方法[J]. 太阳能学报, 2024, 45(9): 228-236. DOI: 10.19912/j.0254-0096.tynxb.2023-0823
引用本文: 张晓明, 张昊天, 王强, 马璎涵, 赵诗雨. 一种考虑光伏发电与峰谷电价的空气源热泵最优装机容量计算方法[J]. 太阳能学报, 2024, 45(9): 228-236. DOI: 10.19912/j.0254-0096.tynxb.2023-0823
Zhang Xiaoming, Zhang Haotian, Wang Qiang, Ma Yinghan, Zhao Shiyu. A METHOD FOR CALCULATING OPTIMAL INSTALLED CAPACITY OF AIR SOURCE HEAT PUMP COUPLED ELECTRIC BOILER[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 228-236. DOI: 10.19912/j.0254-0096.tynxb.2023-0823
Citation: Zhang Xiaoming, Zhang Haotian, Wang Qiang, Ma Yinghan, Zhao Shiyu. A METHOD FOR CALCULATING OPTIMAL INSTALLED CAPACITY OF AIR SOURCE HEAT PUMP COUPLED ELECTRIC BOILER[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 228-236. DOI: 10.19912/j.0254-0096.tynxb.2023-0823

一种考虑光伏发电与峰谷电价的空气源热泵最优装机容量计算方法

A METHOD FOR CALCULATING OPTIMAL INSTALLED CAPACITY OF AIR SOURCE HEAT PUMP COUPLED ELECTRIC BOILER

  • 摘要: 针对目前光伏发电及峰谷电价的用电形式下,空气源热泵耦合电锅炉供热系统经济性装机容量选择困难的有关问题,提出一种综合考虑光伏发电与峰谷电价影响的设备装机容量计算方法,使用空气源热泵最优不保证天数(OGD)作为选型参考值,通过TRNSYS建立系统模型开发新模块使其具有自动寻优能力。在使用测试数据验证模型准确性后,基于该模型计算5座代表性城市OGD推荐值。结果表明:OGD值受建筑负荷大小与光伏装机容量双重影响。采用OGD均值作为推荐值时,单一建筑OGD与均值分别对应的费用年值最大误差为8.17%,可保证计算准确性;5类气候分区内各城市费用年值变化规律基本一致,OGD值随气候变暖各气候分区间平均下降46.83%;其中北京市最大OGD值仅为5,说明在寒冷B区城市此类系统添加光伏发电后,可不设置辅助热源。

     

    Abstract: With the promotion of the “self-generation” mode in photovoltaic power generation and the introduction of peak and valley tariff policies, the issue of selecting the economically efficient installed capacity for air source heat pump coupled with electric boiler heating system has become more prominent. In light of this, we propose a method for calculating the installed capacity that takes into account the impacts of PV power generation and peak and off-peak tariffs. We use the optimal unguaranteed days(OGD) of the air source heat pump as the reference value for selection. A new module has been developed by Trnsys to create a system model with automatic optimization capabilities. After verifying the accuracy of the model using test data, we calculate the recommended OGD values for five representative cities based on the model. The results show that the OGD value is influenced by both the building load size and the installed PV capacity. When the average OGD value is used as the recommended value, the maximum error in the annual cost value of a single building corresponding to the average value of OGD is 8.17%. This ensures the accuracy of the calculation. On average, the OGD value decreases by 46.83% with warming in each climate subzone. The maximum OGD value in Beijing is only 5. This suggests that the addition of photovoltaic power generation to such systems in cold B zone cities can be considered without auxiliary heat sources.

     

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