Double-Slope Solar Still Productivity Based on the Number of Rubber Scraper Motions
Ali O. Al-Sulttani,
Amimul Ahsan,
Basim A. R. Al-Bakri,
Mahir Mahmod Hason,
Nik Norsyahariati Nik Daud,
S. Idrus,
Omer A. Alawi,
Elżbieta Macioszek () and
Zaher Mundher Yaseen ()
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Ali O. Al-Sulttani: Department of Water Resources Engineering, University of Baghdad, Baghdad 10071, Iraq
Amimul Ahsan: Department of Civil and Environmental Engineering, Islamic University of Technology (IUT), Gazipur 1704, Bangladesh
Basim A. R. Al-Bakri: Department of Aeronautical Engineering, University of Baghdad, Baghdad 10071, Iraq
Mahir Mahmod Hason: Disaster Information Management Centre, Ministry of Science and Technology, Baghdad 10071, Iraq
Nik Norsyahariati Nik Daud: Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
S. Idrus: Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
Omer A. Alawi: Department of Thermofluids, School of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai 81310, Johor Bahru, Malaysia
Elżbieta Macioszek: Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland
Zaher Mundher Yaseen: Civil and Environmental Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
Energies, 2022, vol. 15, issue 21, 1-34
Abstract:
In low-latitude areas less than 10° in latitude angle, the solar radiation that goes into the solar still increases as the cover slope approaches the latitude angle. However, the amount of water that is condensed and then falls toward the solar-still basin is also increased in this case. Consequently, the solar yield still is significantly decreased, and the accuracy of the prediction method is affected. This reduction in the yield and the accuracy of the prediction method is inversely proportional to the time in which the condensed water stays on the inner side of the condensing cover without collection because more drops will fall down into the basin of the solar-still. Different numbers of scraper motions per hour ( NSM ), that is, 1, 2, 3, 4, 5, 6, and 7, are implemented to increase the hourly yield of solar still (HYSS) of the double-slope solar still hybrid with rubber scrapers (DSSSHS) in areas at low latitudes and develop an accurate model for forecasting the HYSS. The proposed model is developed by determining the best values of the constant factors that are associated with NSM , and the optimal values of exponent ( n ) and the unknown constant ( C ) for the Nusselt number expression ( Nu ). These variables are used in formulating the models for estimating HYSS. The particle swarm optimization (PSO) algorithm is used to solve the optimization problem, thereby determining the optimal yields. Water that condensed and accumulated inside the condensing glass cover of the DSSSHS is collected by increasing NSM . This process increases in the specific productivity of DSSSHS and the accuracy of the HYSS prediction model. Results show that the proposed model can consistently and accurately estimate HYSS. Based on the relative root mean square error ( RRMSE ), the proposed model PSO–HYSS attained a minimum value (2.81), whereas the validation models attained Dunkle’s (78.68) and Kumar and Tiwari’s (141.37).
Keywords: specific productivity; rubber scraper motions; solar still; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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