Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion
This thesis reports a study of recently proposed novel hybrid energy conversion technique using a combined principle of electrokinetic (EK) and forward osmosis (FO). The proposed FO-EK energy conversion technique has been demonstrated by using a stack system comprising two submodules, a FO submodule...
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sg-ntu-dr.10356-621502023-03-11T17:43:13Z Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion Jiao, Yanmei School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Energy conservation DRNTU::Engineering::Mechanical engineering::Alternative, renewable energy sources DRNTU::Engineering::Mechanical engineering::Fluid mechanics This thesis reports a study of recently proposed novel hybrid energy conversion technique using a combined principle of electrokinetic (EK) and forward osmosis (FO). The proposed FO-EK energy conversion technique has been demonstrated by using a stack system comprising two submodules, a FO submodule and an EK submodule. Under a salinity gradient, a suction force is created to induce a hydrodynamic flow in the FO submodule based on the principle of FO. Accordingly, electric energy, in forms of EK streaming potential and/or streaming current, is generated across a porous glass housed in the EK submodule. This proposed power generation technique converts the salinity gradient energy into the electric energy without need of external pressure input. DOCTOR OF PHILOSOPHY (MAE) 2015-02-10T07:44:28Z 2015-02-10T07:44:28Z 2015 2015 Thesis Jiao, Y. (2015). Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/62150 10.32657/10356/62150 en 204 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering::Energy conservation DRNTU::Engineering::Mechanical engineering::Alternative, renewable energy sources DRNTU::Engineering::Mechanical engineering::Fluid mechanics Jiao, Yanmei Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion |
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This thesis reports a study of recently proposed novel hybrid energy conversion technique using a combined principle of electrokinetic (EK) and forward osmosis (FO). The proposed FO-EK energy conversion technique has been demonstrated by using a stack system comprising two submodules, a FO submodule and an EK submodule. Under a salinity gradient, a suction force is created to induce a hydrodynamic flow in the FO submodule based on the principle of FO. Accordingly, electric energy, in forms of EK streaming potential and/or streaming current, is generated across a porous glass housed in the EK submodule. This proposed power generation technique converts the salinity gradient energy into the electric energy without need of external pressure input. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Jiao, Yanmei |
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Theses and Dissertations |
author |
Jiao, Yanmei |
author_sort |
Jiao, Yanmei |
title |
Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion |
title_short |
Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion |
title_full |
Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion |
title_fullStr |
Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion |
title_full_unstemmed |
Characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion |
title_sort |
characterization, modeling and enhancement of novel hybrid salinity gradient driven electrokinetic energy conversion |
publishDate |
2015 |
url |
https://hdl.handle.net/10356/62150 |
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1761781840003203072 |