Empirical model for the condenser of the seawater greenhouse
被引:13
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作者:
Al-Ismaili, Abdulrahim M.
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机构:
Sultan Qaboos Univ, Dept Soils Water & Agr Engn, Coll Agr & Marine Sci, POB 34, Muscat 123, OmanSultan Qaboos Univ, Dept Soils Water & Agr Engn, Coll Agr & Marine Sci, POB 34, Muscat 123, Oman
Al-Ismaili, Abdulrahim M.
[1
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Jayasuriya, Hemanatha
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机构:
Sultan Qaboos Univ, Dept Soils Water & Agr Engn, Coll Agr & Marine Sci, POB 34, Muscat 123, OmanSultan Qaboos Univ, Dept Soils Water & Agr Engn, Coll Agr & Marine Sci, POB 34, Muscat 123, Oman
Jayasuriya, Hemanatha
[1
]
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机构:
Al-Mulla, Yaseen
[1
]
Kotagama, Hemesiri
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机构:
Sultan Qaboos Univ, Dept Nat Resource Econ, Coll Agr & Marine Sci, Muscat, OmanSultan Qaboos Univ, Dept Soils Water & Agr Engn, Coll Agr & Marine Sci, POB 34, Muscat 123, Oman
Kotagama, Hemesiri
[2
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机构:
[1] Sultan Qaboos Univ, Dept Soils Water & Agr Engn, Coll Agr & Marine Sci, POB 34, Muscat 123, Oman
[2] Sultan Qaboos Univ, Dept Nat Resource Econ, Coll Agr & Marine Sci, Muscat, Oman
Seawater greenhouses (SWGH) utilize seawater or saline/brackish groundwater for cooling the microclimate and providing freshwater for irrigation through a humidification-dehumidification desalination process. The overall effectiveness of the SWGH greatly depends on the effectiveness of its condenser. The present study provides a good review on the available simulation models of the SWGH condenser and proposes a multiple linear regression model to predict the dehumidification rate of the condenser in the Oman SWGH. Four climatic and operational input variables were considered, including solar irradiance, inlet moist air temperature, inlet humidity ratio, and inlet air mass flow rate. The results showed that the model accurately predicts the dehumidification rate when compared against experimental values [a mean predictive error (PE)=-0.127kg/h and root mean square error (RMSE)=4.691kg/h]. The model also outperformed some other model in several accuracy indicators such as PE, mean absolute predictive error, RMSE, R-2, index of agreement and fractional variance.
机构:
Department of Soils, Water and Agricultural Engineering, Sultan Qaboos UniversityDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University
Tahani K BAIT SUWAILAM
Abdulrahim M AL-ISMAILI
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机构:
Department of Soils, Water and Agricultural Engineering, Sultan Qaboos UniversityDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University
Abdulrahim M AL-ISMAILI
Nasser A AL-AZRI
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机构:
Department of Natural Resource Economics, Sultan Qaboos UniversityDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University
Nasser A AL-AZRI
L H Janitha JEEWANTHA
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机构:
Department of Soils, Water and Agricultural Engineering, Sultan Qaboos UniversityDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University
L H Janitha JEEWANTHA
Hemesiri KOTAGAMA
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机构:
Department of Mechanical and Industrial Engineering, Sultan Qaboos UniversityDepartment of Soils, Water and Agricultural Engineering, Sultan Qaboos University
机构:
Hunan First Normal Univ, Dept Informat Sci & Engn, Changsha, Hunan, Peoples R ChinaHunan First Normal Univ, Dept Informat Sci & Engn, Changsha, Hunan, Peoples R China
Xiao, Jie
Zeng, Fenshi
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机构:
Hunan First Normal Univ, Dept Informat Sci & Engn, Changsha, Hunan, Peoples R ChinaHunan First Normal Univ, Dept Informat Sci & Engn, Changsha, Hunan, Peoples R China
Zeng, Fenshi
Xie, Dong
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机构:
Hunan Univ Humanities Sci & Technol, Informat Sch, Loudi, Peoples R ChinaHunan First Normal Univ, Dept Informat Sci & Engn, Changsha, Hunan, Peoples R China
Xie, Dong
Zhang, Yan
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机构:
Hunan Univ Humanities Sci & Technol, Informat Sch, Loudi, Peoples R ChinaHunan First Normal Univ, Dept Informat Sci & Engn, Changsha, Hunan, Peoples R China