Enhanced mathematical modeling for optimizing solar stills with AI exploitation

IF 8.3 1区 工程技术 Q1 ENGINEERING, CHEMICAL Desalination Pub Date : 2024-11-14 DOI:10.1016/j.desal.2024.118303
Fatima Belmehdi , Samira Otmani , Mourad Taha Janan
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Abstract

As global water demand rises, 2.2 billion people face clean water scarcity, exacerbated by climate change. Addressing this, the United Nations' SDG 6 targets sustainable water management. Current technologies for providing water resource vary from natural reserve assessments to advanced treatment methods, including desalination and recycling. The present study focuses on solar still desalination, particularly suitable for off-grid applications due to its integration with renewable energy.
This paper introduces two innovative open-source Python model designated in order to optimize solar stills designs, accounting for various parameters and materials, balancing efficiency and cost. The first one was validated by experimental data, the model accurately predicts performance with a 4 % error margin and the second software adopts an approach allowing machine learning (ML) for data analysis, focusing on clustering and prediction tasks. This algorithm has RMSE of 0.027. This research underscores solar stills' potential in delivering a sustainable, cost-effective solution for areas lacking water infrastructure, thus contributing to achieving SDG 6. The findings advocate for a nuanced approach to material and design choices, and other adjustment such as baffle inclusion or reducing water film thickness, markedly influence output considering both economic and environmental feasibility.
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利用人工智能优化太阳能蒸馏器的增强数学建模
随着全球水需求的增加,22亿人面临清洁水短缺,气候变化加剧了这一问题。针对这一问题,联合国可持续发展目标6以可持续水管理为目标。目前提供水资源的技术各不相同,从自然储备评估到先进的处理方法,包括海水淡化和再循环。目前的研究重点是太阳能海水淡化,特别适合离网应用,因为它与可再生能源相结合。本文介绍了两个创新的开源Python模型,用于优化太阳能蒸馏器设计,考虑各种参数和材料,平衡效率和成本。第一个软件通过实验数据进行了验证,该模型准确地预测了性能,误差范围为4%,第二个软件采用了一种允许机器学习(ML)进行数据分析的方法,专注于聚类和预测任务。该算法的均方根误差为0.027。这项研究强调了太阳能蒸馏器在为缺乏水基础设施的地区提供可持续、具有成本效益的解决方案方面的潜力,从而有助于实现可持续发展目标6。研究结果主张采用细致入微的方法来选择材料和设计,以及其他调整,如挡板的包含或减少水膜厚度,考虑到经济和环境可行性,显著影响产量。
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来源期刊
Desalination
Desalination 工程技术-工程:化工
CiteScore
14.60
自引率
20.20%
发文量
619
审稿时长
41 days
期刊介绍: Desalination is a scholarly journal that focuses on the field of desalination materials, processes, and associated technologies. It encompasses a wide range of disciplines and aims to publish exceptional papers in this area. The journal invites submissions that explicitly revolve around water desalting and its applications to various sources such as seawater, groundwater, and wastewater. It particularly encourages research on diverse desalination methods including thermal, membrane, sorption, and hybrid processes. By providing a platform for innovative studies, Desalination aims to advance the understanding and development of desalination technologies, promoting sustainable solutions for water scarcity challenges.
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