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Estimation on averaging effect of large‐scale aggregation of DR transient responses of building multi air‐conditioning facilities
Author(s) -
Suzuki Keita,
Ninagawa Chuzo,
Morikawa Junji,
Inaba Takashi,
Kondo Seiji
Publication year - 2019
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.23171
Subject(s) - air conditioning , transient (computer programming) , refrigerant , conditioning , computer science , transient response , conditioners , room air distribution , environmental science , automotive engineering , simulation , engineering , mathematics , statistics , meteorology , gas compressor , electrical engineering , mechanical engineering , environmental engineering , geography , operating system
Building‐multitype packaged air‐conditioners are expected to be possible resources of Fast Automated Demand Response (FastADR). However, transient response behaviors of each air‐conditioner are stochastic due to complicated refrigerant embedded controls. Although ensemble averaging effect is expected in aggregation of a large number of the air‐conditioners, it is difficult to carry out experiments with many actual office buildings. In this research, repetitive response time‐series data were collected from several air‐conditioners. We discuss the possibility of estimation on the ensemble averaging effects using the repetitive response data.

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