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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xinli Wang Jiangang Lu Qinmin Yang Wenjian Cai Youxian Sun |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China (Xinli Wang; Jiangang Lu; Qinmin Yang; Youxian Sun) || Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore (Wenjian Cai) |
| Abstract | In this paper, an empirical model based on least square support vector machine (LSSVM) method to predict the output air conditions in a packed tower liquid desiccant dehumidifier is developed. By analysis of the coupled heat and mass transfer between the process air and desiccant solution, six variables are used as the inputs of the LSSVM model, namely: desiccant solution and air flow rates, desiccant solution and air inlet temperature, desiccant concentration, and air relative humidity. Meanwhile, outlet air temperature and relative humidity related with the performance of the dehumidifier are considered as the outputs of the LSSVM model. Compared with the existing theoretical models, the present one is very simple, yet accuracy, and does not need complex theoretical analysis. The experimental results illustrate the effectiveness of the proposed model on performance predicting in a packed tower liquid desiccant dehumidifier. This developed model is expected to have widely applications in performance evaluation, operational monitoring, fault detection and diagnosis. |
| Starting Page | 987 |
| Ending Page | 990 |
| File Size | 503223 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467347075 |
| ISSN | 19483449 |
| e-ISBN | 9781467347082 |
| DOI | 10.1109/ICCA.2013.6565050 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Liquids Atmospheric modeling Humidity Predictive models Poles and towers Support vector machines Heat transfer performance evaluation liquid desiccant dehumidifier least square support vector machine |
| Content Type | Text |
| Resource Type | Article |
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