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COMPUTATIONAL FLUID DYNAMICS AND HEAT TRANSFER ANALYSIS OF A FLAT BED SOLAR COLLECTOR - Softcover

 
9781723802409: COMPUTATIONAL FLUID DYNAMICS AND HEAT TRANSFER ANALYSIS OF A FLAT BED SOLAR COLLECTOR

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With the increasing demand of energy day by day and depletion of fossil fuels, it focuses our attention towards unconventional energy resources. From all of the sources available to us solar energy is the best option with minimum environmental impact. But the problem lies in efficiently collecting and converting this energy into something useful form. The present study has been carried out to increase the performance of flat plate solar collector by using nanofluids. This work has been carried out both experimentally and computationally. In the present work, efficiency of flat plate solar collector is evaluated for both water and CuO nanofluids with volumetric concentrations of 0.1% and 0.2% at different mass flow rates 0.00255 kg/sec, 0.0029 kg/sec and 0.00323 kg/sec. The experimental result shows that the maximum efficiency in case of water as a base fluid is found to be 49%. The computational analysis shows that efficiency of solar collector increases with the use of nanofluids in comparison with water as nanofluids have better thermal properties. Also the result shows that maximum efficiency increase is found to be 24% with the use of 0.2 vol% CuO-water and 20.44% with the use of of 0.1 vol% CuO-water based nanofluids in comparison to water. The maximum deviation in efficiency is found to be 15% between experimental and computatonal results. Also the temperature difference increases with the increase in mass flow rate. The overall heat loss coefficient varies from 2.380-2.385 W/m^2 K in the temperature ranging from 25.6-37.8 ˚C. The heat removal factor varies from 0.791-0.518 in the temperature ranging from 25-38 ˚C.

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Supriya Kajla & Dr. S.S. Sehgal .
Published by Independently published, 2018
ISBN 10: 1723802409 ISBN 13: 9781723802409
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Paperback. Condition: Brand New. 64 pages. 11.00x8.50x0.16 inches. In Stock. Seller Inventory # 1723802409

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