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作者:

Zhang, Yating (Zhang, Yating.) | Jiang, Weichang (Jiang, Weichang.) | Wang, Ruihua (Wang, Ruihua.)

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EI Scopus

摘要:

As a new technology of renewable energy, ground-coupled heat pump system has been rising in our country in recently years. However because of the nonlinear and high degree of coupling, it is not clear to find out the relationship between control variables and total energy consumption of the system. This paper proposes a modeling way for ground-coupled heat pump system that uses artificial neural network, it builds the relationship between control variables and total energy consumption of the system directly. Through the comparison we can find a better way for building the Ground-coupled heat pump System. © 2014 IEEE.

关键词:

Energy utilization Geothermal heat pumps Neural networks Pumps

作者机构:

  • [ 1 ] [Zhang, Yating]College of Elctronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Jiang, Weichang]College of Elctronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Wang, Ruihua]College of Elctronic and Control Engineering, Beijing University of Technology, Beijing 100124, China

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年份: 2014

页码: 2320-2323

语种: 英文

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WoS核心集被引频次: 0

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