Solar-assisted mist cooling system for energy-efficient indoor climate control using hybrid machine learning optimisation

IF 5.4 3区工程技术 Q2 ENERGY & FUELS

Thermal Science and Engineering Progress Pub Date : 2025-10-02 DOI:10.1016/j.tsep.2025.104171

Osama Khan , Rashid Khan , Zeinebou Yahya , Sabbah Ataya , Aiyeshah Alhodaib , Ashok Kumar Yadav , Taufique Ahamad

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引用次数: 0

Abstract

Amid escalating global temperatures and rising energy demands, this study investigates a solar-assisted mist-based renewable cooling system, optimized through advanced data-driven analysis for sustainable indoor climate control. The system utilizes a low-power RO pressure pump, mist nozzles, and a compact PVC duct integrated with a solar photovoltaic (PV) setup for energy autonomy. Ambient water is atomized and introduced into the airstream, enabling evaporative cooling with negligible carbon footprint. A hybrid priority-based machine learning clustering model (k-means) is applied to optimize key operating parameters such as flow rate, pump pressure, and pipe length. The analysis reveals strong correlations between cooling effect and mist rate (r = 0.981) and flow rate (r = 0.731), while power consumption moderately correlates with flow rate (r = 0.598) and pump pressure (r = 0.662). Cooling effect holds the highest priority (0.52), followed by room temperature and mist rate (0.20 each), with power consumption rated lowest (0.08). Cluster 1 stands out with 59.73 % cooling effect, 59.88 mist rate, and 25.2 °C room temperature, despite a 1.29 % power increase. Trial 24 is optimal with 5.05 °C cooling, 133.52 W power, 23.22 °C room temperature, and 58.4 ml/min mist. Validation analysis is supported by highly significant ANOVA F-values: cooling effect (24.04), mist rate (144.45), and power (31.75), all with Prob > F < 0.0001. The proposed device enables low-cost, sustainable passive cooling, supporting building decarbonisation.

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太阳能辅助雾冷却系统节能室内气候控制使用混合机器学习优化

在全球气温不断上升和能源需求不断上升的背景下，本研究研究了一种太阳能辅助雾基可再生冷却系统，该系统通过先进的数据驱动分析进行优化，以实现可持续的室内气候控制。该系统采用低功率反渗透压力泵、喷雾喷嘴和紧凑的PVC管道，并集成了太阳能光伏（PV）装置，实现能源自主。周围的水被雾化并引入气流，使蒸发冷却的碳足迹可以忽略不计。采用基于优先级的混合机器学习聚类模型（k-means）来优化关键操作参数，如流量、泵压力和管道长度。分析表明，冷却效果与雾率（r = 0.981）和流量（r = 0.731）有较强的相关性，而功耗与流量（r = 0.598）和泵压力（r = 0.662）有较强的相关性。冷却效果的优先级最高（0.52），其次是室温和雾率（各0.20），功耗评级最低（0.08）。集群1脱颖而出，冷却效果为59.73%，雾率为59.88，室温为25.2°C，尽管功率增加了1.29%。试验24在5.05°C冷却、133.52 W功率、23.22°C室温、58.4 ml/min雾度条件下最优。验证分析由高度显著的方差分析F值支持：冷却效果（24.04），雾率（144.45）和功率（31.75），均为probb >； F < 0.0001。该装置可实现低成本、可持续的被动冷却，支持建筑脱碳。

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来源期刊

Thermal Science and Engineering Progress Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

7.20

自引率

10.40%

发文量

327

审稿时长

41 days

期刊介绍： Thermal Science and Engineering Progress (TSEP) publishes original, high-quality research articles that span activities ranging from fundamental scientific research and discussion of the more controversial thermodynamic theories, to developments in thermal engineering that are in many instances examples of the way scientists and engineers are addressing the challenges facing a growing population – smart cities and global warming – maximising thermodynamic efficiencies and minimising all heat losses. It is intended that these will be of current relevance and interest to industry, academia and other practitioners. It is evident that many specialised journals in thermal and, to some extent, in fluid disciplines tend to focus on topics that can be classified as fundamental in nature, or are ‘applied’ and near-market. Thermal Science and Engineering Progress will bridge the gap between these two areas, allowing authors to make an easy choice, should they or a journal editor feel that their papers are ‘out of scope’ when considering other journals. The range of topics covered by Thermal Science and Engineering Progress addresses the rapid rate of development being made in thermal transfer processes as they affect traditional fields, and important growth in the topical research areas of aerospace, thermal biological and medical systems, electronics and nano-technologies, renewable energy systems, food production (including agriculture), and the need to minimise man-made thermal impacts on climate change. Review articles on appropriate topics for TSEP are encouraged, although until TSEP is fully established, these will be limited in number. Before submitting such articles, please contact one of the Editors, or a member of the Editorial Advisory Board with an outline of your proposal and your expertise in the area of your review.