Energy-saving Diagnosis of Ground Water-source Heat Pump System Based on Artificial Neural Network
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- WANG Zhiwei
- School of Envir. & Muni. Eng., Xi'an University of Architecture & Technology
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- ZHANG Zhonghe
- School of Envir. & Muni. Eng., Xi'an University of Architecture & Technology
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- SHI Lei
- School of Envir. & Muni. Eng., Xi'an University of Architecture & Technology
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- PENG Yi
- School of Envir. & Muni. Eng., Xi'an University of Architecture & Technology
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- CAO Wei
- Silian Intelligence Technology Share Co., Ltd
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- LI Peng
- Silian Intelligence Technology Share Co., Ltd
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抄録
Ground water-source heat pump (GWHP) system is currently widely used in China, because of high system energy-efficiency. However, due to the lack of effectively energy-saving diagnostic system, often leads to system operating efficiency be greatly reduced. According to the existing energy efficiency standards used in China, this paper proposes energy-saving state index for GWHP unit and its distribution system, establishes the relationship database between the system monitoring characteristic parameters and the system energy efficiency state, further develops the basic model of standard input about characteristic parameters samples and standard output about system energy-saving diagnosis. Based on the features of artificial neural network's training & learning, memory & simulation, and non-linear approximation etc., the energy-saving diagnostic function of the GWHP system operation can be obtained, and the factors of system energy-efficient performance degradation can be monitored in real-time and the system energy-saving operation state can be controlled on line.
収録刊行物
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- 日本冷凍空調学会論文集
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日本冷凍空調学会論文集 28 (1), 77-86, 2011
公益社団法人 日本冷凍空調学会
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詳細情報 詳細情報について
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- CRID
- 1390001204665356672
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- NII論文ID
- 130004566224
- 10028207189
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- NII書誌ID
- AA11125910
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- COI
- 1:CAS:528:DC%2BC3MXotFylurg%3D
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- ISSN
- 2185789X
- 13444905
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- NDL書誌ID
- 11073381
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可