Double-Slope Solar Still Productivity Based on the Number of Rubber Scraper Motions
نویسندگان
چکیده
In low-latitude areas less than 10° in latitude angle, the solar radiation that goes into still increases as cover slope approaches angle. However, amount of water is condensed and then falls toward solar-still basin also increased this case. Consequently, yield significantly decreased, accuracy prediction method affected. This reduction inversely proportional to time which stays on inner side condensing without collection because more drops will fall down solar-still. Different numbers scraper motions per hour (NSM), is, 1, 2, 3, 4, 5, 6, 7, are implemented increase hourly (HYSS) double-slope hybrid with rubber scrapers (DSSSHS) at low latitudes develop an accurate model for forecasting HYSS. The proposed developed by determining best values constant factors associated NSM, optimal exponent (n) unknown (C) Nusselt number expression (Nu). These variables used formulating models estimating particle swarm optimization (PSO) algorithm solve problem, thereby yields. Water accumulated inside glass DSSSHS collected increasing NSM. process specific productivity HYSS model. Results show can consistently accurately estimate Based relative root mean square error (RRMSE), PSO–HYSS attained a minimum value (2.81), whereas validation Dunkle’s (78.68) Kumar Tiwari’s (141.37).
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ژورنال
عنوان ژورنال: Energies
سال: 2022
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en15217881