Journal Pre-proof A proper model to predict energy efficiency, exergy efficiency, and water productivity of a solar still via optimized neural network Saeed Nazari, Mehdi Bahiraei, Hossein Moayedi, Habibollah Safarzadeh PII: S0959-6526(20)33277-7 DOI: https://doi.org/10.1016/j.jclepro.2020.123232 Reference: JCLP 123232 To appear in: Journal of Cleaner Production Received Date: 17 December 2019 Revised Date: 16 June 2020 Accepted Date: 6 July 2020 Please cite this article as: Nazari S, Bahiraei M, Moayedi H, Safarzadeh H, A proper model to predict energy efficiency, exergy efficiency, and water productivity of a solar still via optimized neural network, Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2020.123232. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Elsevier Ltd. All rights reserved.