Title: Study on multi-step prediction method of passive energy-saving building energy consumption based on energy consumption perception

Authors: Qiliang Yuan

Addresses: Hunan City University Design and Research Institute Co., Ltd., Hunan Yiyang 413000, China

Abstract: Passive energy-saving buildings have problems such as low energy consumption prediction accuracy and complex prediction process. A multi-step prediction method for energy consumption of passive energy-saving buildings based on energy consumption perception is proposed. Firstly, the related thermal parameters and building parameters of passive energy-saving buildings are calculated by steady-state calculation. Secondly, the equivalent thermal parameters of building air-conditioning load, air-conditioning load equivalent thermal parameters and air-conditioning load thermal parameters are determined by means of first-order differential equations, and the envelope structure is calculated. Finally, the ultrasonic sensor is set in the energy-saving building, and the energy consumption data of each part of the building is sensed to realise multi-step prediction. The experimental results show that the fluctuation of the predicted energy consumption value of the proposed algorithm is less than 1 J, the prediction accuracy is always above 90% and the time cost is about 1.54 s.

Keywords: energy consumption perception; passive energy-saving building; multi-step prediction of energy consumption; dynamic calculation; load equivalent thermal parameters.

DOI: 10.1504/IJGEI.2023.132019

International Journal of Global Energy Issues, 2023 Vol.45 No.4/5, pp.366 - 382

Received: 30 Apr 2022
Accepted: 27 Jul 2022
Published online: 06 Jul 2023 *

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