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https://elibrary.tucl.edu.np/handle/123456789/18401
Title: | Computational Fluid Dynamics Modelling and Experimental Verification to Enhance Productivity of Distillate Water in Three Dimensional Single Slope Basin Type Passive Solar Still |
Authors: | Ansari, Shah Nawaz |
Keywords: | Fluid Dynamics;Distillate Water;Modelling |
Issue Date: | Sep-2022 |
Publisher: | I.O.E. Pulchowk Campus |
Institute Name: | Institute of Engineering |
Level: | Masters |
Abstract: | The research entitled “Computational Fluid Dynamics Modelling and Experimental Verificationto Enhance Productivity of Distillate Water in Three Dimensional Single Slope Basin Type Passive Solar Still” highlights the problem of need for clean water in the areas where there is unavailability of electricity to afford costly means of water desalination techniques. Solar still could be better option for desalination of water from renewable source since it is cheap, simple, pollution free and easy to fabricate. The major challenge of the solar still is its low productivity. The main objective of this research is to identify various parameters for enhancing the productivity of solar still by the application of computational fluid dynamics and verify obtained result with the experimental results. This research employs use of the ANSYS Workbench software for modelling and simulation of single slope solar still. Furthermore, experimental setup has been fabricated from locally available material. The experiment was performed at Balaju School of Engineering and Technology, Kathmandu. The experiment was performed initially without the use of internal reflectors and without any kind of black paint on the basin. |
Description: | Water is known to be the most essential and basic need for human beings, along with food and air required for sustaining life on Earth. Water and the life of human beings are immensely interrelated to each other. |
URI: | https://elibrary.tucl.edu.np/handle/123456789/18401 |
Appears in Collections: | Mechanical and Aerospace Engineering |
Files in This Item:
File | Description | Size | Format | |
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Shah Nawaz Ansari reewable energy engi2022.pdf | 4.67 MB | Adobe PDF | View/Open |
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