An Implementation of Double Slope Basin Solar Still Plant Design to Predict the Distillate Yield and Instantaneous Efficiency
Neha Yadav1, Vivek Raich2
1Neha Yadav*, Mathemathics Department S.D. Bansal College of Technology, Umariya , Indore (M. P.) India.
2Vivek Raich, Research Center of Mathematics, Govt Holkar Science College, Indore (M.P.) India.
Manuscript received on January 17, 2020. | Revised Manuscript received on January 26, 2020. | Manuscript published on February 10, 2020. | PP: 2430-2433 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1889029420/2020©BEIES | DOI: 10.35940/ijitee.D1889.029420
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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: 70% of the earth is covered with water but not all the available water is drinking water. Among only 3-5% of water is drinkable. In addition of due to global environmental changes and effect of global warming researchers are motivated to find the alternative sources of water purification. In this context the water distillation plants are helpful for providing the pure drinkable water. The proposed work is an effort for designing the solar distillation plant. Among them double slop water treatment technique is efficient as compared to single slop water still plants. Therefore the proposed work is intended to design a double slop distillation plant. In addition of to monitor the plant performance a predictive technique using the liner regression is proposed. The proposed technique usages the temperature attributes and corresponding obtained distillated yield and instantaneous efficiency. According to the obtained experimental results the proposed technique found superior as compared to traditional predictive techniques.
Keywords: Decision Making, Prediction, Solar Still Plant, Fuzzy logic, Regression Analysis
Scope of the Article: Decision making