Nusselt Number Optimization for DPSAH Having Inclined and Transverse Ribs as Roughness Element using Genetic Algorithm
Harish Kumar Sharma1, Gaurav Bharadwaj2, Avdhesh Sharma3, Piyush Singhal4
1Harish Kumar Sharma, Departmental of Mechanical Engineering, G.L.A. University, Mathura (U.P), India.
2Gaurav Bharadwaj, Departmental of Mechanical Engineering, G.L.A. University, Mathura (U.P), India.
3Avdhesh Sharma, Departmental of Mechanical Engineering, G.L.A. University, Mathura (U.P), India.
4Piyush Singhal, Departmental of Mechanical Engineering, G.L.A. University, Mathura (U.P), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 240-243 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3462048619/19©BEIESP
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Abstract: In this time because of need, developments are being made on elective energy fronts in zones including solar. Because of low thermal performance of solar collectors, distinctive structure and systems are actualized to expand their performance. In this work, we present genetic algorithm calculation to deal with foresee the optimization of working parameters for double pass solar air collector with inclined and transverse ribs as artificial roughness, in order to improve thermal performance. The outcomes so acquired are then contrasted and the test results. Parameters influencing heat exchange rate and scope of these parameters contemplated are ; Reynolds number (Re) from 4000 to 17500, attack angle (α) from 30° to 90° and relative roughness pitch (p/e) from 5 to 20. Genetic calculation is utilized to acquire the advanced set of these parameters influencing heat exchange rate and contrasted and exploratory outcomes. On Comparison we get that Nusselt number (Nu) is 1.06 occasions to that of test one.
Keyword: Artificial Roughness, Genetic Algorithm, Optimization, Solar Energy, Thermal Performance.
Scope of the Article: Waveform Optimization for Wireless Power Transfer