Optimization and Forecasting the Efficiency of Solar Water Heater by Mathematical Regression
G.Senthil Kumaran1, S. Jaisankar2
1G.Senthil Kumaran , Research Scholar, Department of Computer Science Engineering, PRIST University, Thanjavur, Tamil Nadu, India.
2S. Jaisankar, Professor, Department of Mechanical Engineering, Star Lion College of Engineering & Technology, Thanjavur, Tamil Nadu, India.

Manuscript received on November 15, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 8912-8915 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9530118419/2019©BEIESP | DOI: 10.35940/ijrte.D9530.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The performance of the solar collector was experimentally studied under the different twist conditions namely helical twist, helical with left right twist and screw twist, L/D ratio (i.e., 0, 3 and 6) and time. Based on the standard relationship, efficiency of the collector was calculated for the different experimental combinations. Further, the significance of solar collector process parameters was identified by statistical analysis. Also the optimal solar collector process parameters to achieve the maximum the efficiency was identified and a mathematical regression was generated to forecast the efficiency of the solar collector.
Keywords: Solar Collector, Efficiency, Optimization.
Scope of the Article: Discrete Optimization.