Hourly yield prediction of a double-slope solar still hybrid with rubber scrapers in low-latitude areas based on the particle swarm optimization technique

• 主要な著者: Al-Sulttani, Ali Omran Muhsin, Ahsan, Amimul, Hanoon, Ammar Nasiri, Rahman, Ataur, Nik Daud, Nik Norsyahariati, Idrus, Syazwani
• フォーマット: 論文
• 言語: English
• 出版事項: Elsevier 2017
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/62040/1/Hourly%20yield%20prediction%20of%20a%20double-slope%20solar%20still%20hybrid%20.pdf; http://psasir.upm.edu.my/id/eprint/62040/; https://www.sciencedirect.com/science/article/pii/S0306261917307699

Several studies have attempted to improve the productivity of solar stills and build expressive models for yield prediction. However, most of these models do not consider the amount of condensed water that falls from the condensing cover towards the solar still basin, especially in the case of small...