Abstract
For VRV outdoor unit, the energy consumption models of air conditioning are not preferably fit for the identification and repair of data in the energy consumption monitoring platform. New characteristic models are established to provide useful assist in the identification and repair of data in this paper. Firstly, the energy consumption data of VRV outdoor unit are classified into different energy consumption modes. Secondly, the relation between data and the influencing factors of VRV outdoor unit is analyzed and the correlation coefficients are calculated. Then the influencing factor in which correlation coefficient is greater than or equal to 0.3 is selected as input variables in characteristic models. Finally, the characteristic models are established and calculated values are reckoned. The maximum average relative error between calculated value and the actual energy consumption value is within acceptable limits under different energy consumption modes.
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Acknowledgements
The study has been supported by the National Key R&D Program of China (Grant No. 2017YFC0704200).
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Ma, L., Lu, F., Zhang, J., Xu, Y. (2020). Research on Energy Consumption Data Characteristics of Office Building VRV Air Conditioning Outdoor Unit Based on Energy Consumption Monitoring Platform. In: Wang, Z., Zhu, Y., Wang, F., Wang, P., Shen, C., Liu, J. (eds) Proceedings of the 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019). ISHVAC 2019. Environmental Science and Engineering(). Springer, Singapore. https://doi.org/10.1007/978-981-13-9528-4_134
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DOI: https://doi.org/10.1007/978-981-13-9528-4_134
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