Recognition of Variable-Speed Equipment in an Air-Conditioning System Using Numerical Analysis of Energy-Consumption Data

Rongjiang Ma, Xianlin Wang, Ming Shan, Nanyang Yu and Shen Yang
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Rongjiang Ma: Department of Building Science, Tsinghua University, Beijing 100084, China
Xianlin Wang: Department of Building Science, Tsinghua University, Beijing 100084, China
Ming Shan: Department of Building Science, Tsinghua University, Beijing 100084, China
Nanyang Yu: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Shen Yang: Department of Building Science, Tsinghua University, Beijing 100084, China

Energies, 2020, vol. 13, issue 18, 1-14

Abstract: Motor-driven equipment (ME) is one of the key components in an air-conditioning system, which contributes to the vast majority of the total energy consumption by air-conditioning systems. Distinguishing variable- and constant-speed equipment is important since the energy simulation models of the two types differ. Traditionally, types of ME are known in advance, and energy consumption data are consequently analyzed. However, in the application scenarios of energy consumption data mining, precedent information on the ME type could be missing. Thus, this study applies this process in reverse, providing new insight into energy consumption data of ME to recognize variable-speed ME in an air-conditioning system. The energy consumption data of ME in an air-conditioning system implemented in a commercial building were collected and numerically analyzed. A proposed simple parameter, coefficient of the median, and several numerical parameters were calculated and used to distinguish variable- from constant-speed ME. Results showed that the energy consumption data distributions of the two types of ME differed. The proposed coefficient of the median could successfully distinguish variable- from constant-speed ME, and it could be applied as an important step in energy consumption data mining of air-conditioning systems.

Keywords: motor-driven equipment (ME); air conditioning; numerical analysis; variable speed; data mining (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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