Majid, M.A.A. and Zainuddin, A. and Tamiru, A.L. (2013) Historical data based models for chilled water production from waste heat of turbine. Journal of Applied Sciences, 13 (2). pp. 301-307. ISSN 18125654
Full text not available from this repository.Abstract
Performance analysis, optimization and environmental load assessment of an absorption system requires accurate but simplified models. The objective of the present study is to develop such models based on non-dimensional parameters (part load ratio, part-load factor and diverter damper position) and ordinary least squares. Since for the case study, the hourly, daily and monthly load demands data are available, the method of averaging over eight years is considered. The models are developed for a system comprised of two heat recovery steam generators and two steam absorption chillers. It was observed that the proposed method is effective in providing better picture of the relationships between the supplied heat and the amount of energy recovered by each subsystem. The maximum cooling load experienced by the two chillers was about 2392RT, which is 4.32 lower than the design capacity. The steam generators were found operating at part load ratio of about 0.41 only. Both chillers deteriorated in performance within the study period. This was confirmed by the part load ratio of 0.8 and steam consumption higher than that required for a new chiller. A generalized model was also identified for the two chillers with the correlation coefficient (R2), chi-square (X2) and Root Mean Squared Error (RMSE) equals to 0.9996, 1.9765e-5 and 0.0044, respectively. The model was found accurate for cooling water temperatures in the range of 29 to 32°C. © 2013 Asian Network for Scientific Information.
Item Type: | Article |
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Additional Information: | cited By 0 |
Uncontrolled Keywords: | Absorption process; Absorption system; Chilled water production; Cooling water temperature; Correlation coefficient; Design capacity; Environmental loads; Generalized models; Heat recovery steam generators; Historical data; Maximum cooling; Method of averaging; Monthly load; Non-dimensional parameters; Ordinary least squares; Part load; Performance analysis; Root mean squared errors; Steam absorption; Steam consumption, Absorption cooling; Cooling systems; Cooling water; Refrigerators; Steam generators; Waste heat utilization, Waste heat |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:51 |
Last Modified: | 09 Nov 2023 15:51 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/3719 |