Improving power output prediction from ocean salinity and temperature energy converter using viscosity model
Salinity difference between fluids can be utilized and converted to useful power through an underwater hydroelectric power unit, Hydrocratic Generator. The generator system relies on the difference between the osmotic pressure of the incoming fresh water from on-ground reservoir, and the surrounding...
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| Formaat: | Artikel |
| Taal: | English English |
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American-Eurasian Network for Scientific Information (AENSI)
2014
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| Online toegang: | https://eprints.ums.edu.my/id/eprint/30632/1/Improving%20power%20output%20prediction%20from%20ocean%20salinity%20and%20temperature%20energy%20converter%20using%20viscosity%20model-Abstract.pdf https://eprints.ums.edu.my/id/eprint/30632/2/Improving%20power%20output%20prediction%20from%20ocean%20salinity%20and%20temperature%20energy%20converter%20using%20viscosity%20model.pdf |
| _version_ | 1825714390753607680 |
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| author | Shu Kim Chee, Fuei Pien Jedol Dayou Ag Sufiyan Abd Hamid Ejria Saleh Harry Chong Lye Hin |
| author_facet | Shu Kim Chee, Fuei Pien Jedol Dayou Ag Sufiyan Abd Hamid Ejria Saleh Harry Chong Lye Hin |
| author_sort | Shu Kim |
| collection | UMS |
| description | Salinity difference between fluids can be utilized and converted to useful power through an underwater hydroelectric power unit, Hydrocratic Generator. The generator system relies on the difference between the osmotic pressure of the incoming fresh water from on-ground reservoir, and the surrounding sea water in the system. In this investigation, additional parameter is introduced which is the temperature difference between fluids; hence the system is known as Ocean Salinity and Temperature Energy Conversion System (OSTEC). With the classical Density Model, there is over estimation of the predicted power output if compared to the experimental power output. Backward numerical extrapolation is performed on the experimental flow rate and found that the experimental water head of incoming water is significantly lower than the theoretical water head. This indicated that the experimental water head of incoming water does sustain a certain amount of head losing during the testing. As a consequence to minimize the prediction error, a refined prediction model is formulated by incorporating the effects of frictional head loss and head loss causing by the number of pipe fittings. Computer simulations are presented in this paper to assess the system as the parameters of system are varied using the refined prediction model. |
| first_indexed | 2024-03-06T03:11:07Z |
| format | Article |
| id | ums.eprints-30632 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:11:07Z |
| publishDate | 2014 |
| publisher | American-Eurasian Network for Scientific Information (AENSI) |
| record_format | dspace |
| spelling | ums.eprints-306322021-10-25T12:06:47Z https://eprints.ums.edu.my/id/eprint/30632/ Improving power output prediction from ocean salinity and temperature energy converter using viscosity model Shu Kim Chee, Fuei Pien Jedol Dayou Ag Sufiyan Abd Hamid Ejria Saleh Harry Chong Lye Hin TJ807-830 Renewable energy sources TK1001-1841 Production of electric energy or power. Powerplants. Central stations Salinity difference between fluids can be utilized and converted to useful power through an underwater hydroelectric power unit, Hydrocratic Generator. The generator system relies on the difference between the osmotic pressure of the incoming fresh water from on-ground reservoir, and the surrounding sea water in the system. In this investigation, additional parameter is introduced which is the temperature difference between fluids; hence the system is known as Ocean Salinity and Temperature Energy Conversion System (OSTEC). With the classical Density Model, there is over estimation of the predicted power output if compared to the experimental power output. Backward numerical extrapolation is performed on the experimental flow rate and found that the experimental water head of incoming water is significantly lower than the theoretical water head. This indicated that the experimental water head of incoming water does sustain a certain amount of head losing during the testing. As a consequence to minimize the prediction error, a refined prediction model is formulated by incorporating the effects of frictional head loss and head loss causing by the number of pipe fittings. Computer simulations are presented in this paper to assess the system as the parameters of system are varied using the refined prediction model. American-Eurasian Network for Scientific Information (AENSI) 2014-09-27 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/30632/1/Improving%20power%20output%20prediction%20from%20ocean%20salinity%20and%20temperature%20energy%20converter%20using%20viscosity%20model-Abstract.pdf text en https://eprints.ums.edu.my/id/eprint/30632/2/Improving%20power%20output%20prediction%20from%20ocean%20salinity%20and%20temperature%20energy%20converter%20using%20viscosity%20model.pdf Shu Kim and Chee, Fuei Pien and Jedol Dayou and Ag Sufiyan Abd Hamid and Ejria Saleh and Harry Chong Lye Hin (2014) Improving power output prediction from ocean salinity and temperature energy converter using viscosity model. Advances in Environmental Biology, 8. pp. 70-77. ISSN 1995-0756 http://www.aensiweb.com/old/aeb/Special%207%20ICEBS%202014/70-77.pdf |
| spellingShingle | TJ807-830 Renewable energy sources TK1001-1841 Production of electric energy or power. Powerplants. Central stations Shu Kim Chee, Fuei Pien Jedol Dayou Ag Sufiyan Abd Hamid Ejria Saleh Harry Chong Lye Hin Improving power output prediction from ocean salinity and temperature energy converter using viscosity model |
| title | Improving power output prediction from ocean salinity and temperature energy converter using viscosity model |
| title_full | Improving power output prediction from ocean salinity and temperature energy converter using viscosity model |
| title_fullStr | Improving power output prediction from ocean salinity and temperature energy converter using viscosity model |
| title_full_unstemmed | Improving power output prediction from ocean salinity and temperature energy converter using viscosity model |
| title_short | Improving power output prediction from ocean salinity and temperature energy converter using viscosity model |
| title_sort | improving power output prediction from ocean salinity and temperature energy converter using viscosity model |
| topic | TJ807-830 Renewable energy sources TK1001-1841 Production of electric energy or power. Powerplants. Central stations |
| url | https://eprints.ums.edu.my/id/eprint/30632/1/Improving%20power%20output%20prediction%20from%20ocean%20salinity%20and%20temperature%20energy%20converter%20using%20viscosity%20model-Abstract.pdf https://eprints.ums.edu.my/id/eprint/30632/2/Improving%20power%20output%20prediction%20from%20ocean%20salinity%20and%20temperature%20energy%20converter%20using%20viscosity%20model.pdf |
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