NDLI: Soft sensor approach for optimal operation of cooling tower for energy conservation

Content Provider	IEEE Xplore Digital Library
Author	Jian-Guo Wang Qian-Ping Xiao Juan-Juan Wang Shi-Wei Ma Wen-Tao Rao Yong-Jie Zhang
Copyright Year	2014
Description	Author affiliation: Shanghai Key Lab. of Power Station Autom. Technol., Shanghai Univ., Shanghai, China (Jian-Guo Wang; Qian-Ping Xiao; Juan-Juan Wang; Shi-Wei Ma) \|\| Inst. of Environ. & Resources, Baosteel Res. Inst., Shanghai, China (Wen-Tao Rao; Yong-Jie Zhang)
Abstract	This paper presents a data-driven adaptive soft sensor approach to investigate the performance and optimal operation of cooling tower for energy conservation. To achieve this aim, first, the cooling tower process is characterized by an adaptive soft sensor with nonnegative garrote (NNG) variable selection procedure. Then, based on the statistics result of NNG variable selection, the effect of environment temperature and humidity on the cooling capacity was investigated by principal component analysis (PCA). At last, the optimal strategy of fan operation mode was presented and the implementation of the optimal strategy was investigated for a cooling tower, which showed that there was large room for energy conservation.
Starting Page	3612
Ending Page	3615
File Size	1196834
Page Count	4
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Cooling Atmospheric modeling Input variables Poles and towers Energy conservation Predictive models energy conservation soft sensor variable selection cooling tower Nonnegative garrote
Content Type	Text
Resource Type	Article

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