| 摘要: |
| 为正确评价空气源热泵机组在结除霜过程的运行性能，探索其在冬季结霜工况下的性能表现，本文提出以“名义制热量损失系数”作为评价空气源热泵结除霜损失的重要参数，并基于大量实测数据，采用广义人工神经网络的预测方法，建立空气源热泵名义制热量损失系数的预测模型。结果表明：建立的预测模型相关系数|r|高于0.9，期望偏差百分数(EEP)小于6.5%，模型学习训练效果及通用能力表现良好，该模型可用于预测空气源热泵机组结除霜过程的制热性能，预测结果可作为探寻不同结霜工况下最佳除霜控制点的重要依据。 |
| 关键词: 空气源热泵 结除霜过程 性能评价 名义制热量损失系数 预测模型 |
| DOI： |
| Received:May 25, 2018 |
| 基金项目:国家重点研发计划项目 (2016YFC0700104)、国家自然科学基金优秀青年基金项目(51522801)和空调设备及系统运行节能国家重点实验室开放课题(SKLACKF201604)资助。 |
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| Study on Loss Coefficient of Nominal Heating Capacity Model for Air-source Heat Pump |
|
Wang Wei, Cui Yiming, Sun Yuying, Wu Xu, Liang Shimin
|
| (Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology) |
| Abstract: |
| To evaluate an air source heat pump unit’s operation performance in the frosting-defrosting process efficiently and to explore its operational performance under frosting conditions, the loss coefficient of the nominal heating capacity is proposed in this paper. Lab and field tests to date are conducted to establish a loss coefficient for the nominal heating capacity model based on generalized regression neural network. The result of the research shows that the model’s correlation coefficient |r|, is higher than 0.9 and the expected error percentage (EEP) is lower than 6.5%. These results indicate that the model in this paper could be successfully used in predicting operation performance in the frosting-defrosting process of the air-source heat pump. The simulation result can be used in searching for an optimized defrosting control point under different frosting-defrosting conditions. |
| Key words: air-source heat pump frosting-defrosting process evaluation of operating performance loss coefficient of nominal heating capacity prediction model |
