[1] Xu Jianqun, Zhang Fang, Chen Feixiang, Huang Xijun, et al. Energy consumption prediction model of typical buildingsin hot summer and cold winter zone of China [J]. Journal of Southeast University (English Edition), 2017, 33 (3): 348-354. [doi:10.3969/j.issn.1003-7985.2017.03.015]

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Energy consumption prediction model of typical buildingsin hot summer and cold winter zone of China()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

33

Issue:

2017 3

Page:

348-354

Research Field:

Energy and Power Engineering

Publishing date:

2017-09-30

Info

Title:

Energy consumption prediction model of typical buildingsin hot summer and cold winter zone of China

Author(s):

Xu Jianqun;  Zhang Fang;  Chen Feixiang;  Huang Xijun;  Sun Jian

Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China

Keywords:

building energy consumption;  energy conservation;  load prediction;  EnergyPlus

PACS:

TK11

DOI:

10.3969/j.issn.1003-7985.2017.03.015

Abstract:

To overcome the shortcomings of the energy consumption prediction models in the application during the design stage, a quick prediction model for energy consumption is proposed based on the decoupling method. Taking typical residential and office buildings in hot summer and cold winter zones as research objects, the influence factors on building energy consumption are classified into intrinsic factors and operational factors on the basis of the heat transfer principle. Then, using the intrinsic factors as the fundamental variables and operational factors as the modified variables, the quick prediction model for the buildings in typical cold and hot zones is proposed based on the decoupling method and the accuracy of the proposed model is verified. The results show that compared to the simulation results of EnergyPlus, the relative error of the prediction model is less than 1.5%; compared with the real operating data of the building, the relative error is 13.14% in 2011 and 8.56% in 2012 due to the fact that the coincidence factor becomes larger than the design value about 16% in 2011 and 13% in 2012. The finding reveals that the proposed model has the advantages of rapid calculation compared with EnergyPlus and Design Builder when predicting building energy consumption in building designs. The energy consumption prediction model is of great practical value in optimal operation and building designs.

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Memo

Memo:

Biography: Xu Jianqun(1959—), male, doctor, professor, qlj1062@163.com.
Citation: Xu Jianqun, Zhang Fang, Chen Feixiang, et al. Energy consumption prediction model of typical buildings in hot summer and cold winter zone of China[J].Journal of Southeast University(English Edition), 2017, 33(3):348-354.DOI:10.3969/j.issn.1003-7985.2017.03.015.

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